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Commodities & Energy Sector

Highlights Our leading gauges of EM commodity-demand growth indicate global industrial-commodity demand has troughed and will be moving higher in the wake of supportive global financial conditions. The magnitude and speed of any commodity-demand rebound hinges on the joint evolution of the USD, which remains close to record highs, and global economic policy uncertainty. Reduced policy uncertainty will translate to a weaker USD, which, all else equal, will be bullish for commodity demand. Chinese economic stimulus remains weak, suggesting policymakers are holding off deploying aggressive fiscal and monetary policy until later this year or next year. Policy risk remains the chief threat to a robust recovery of industrial-commodity demand globally. A ceasefire in the Sino-US trade war will not resolve deeper trade and security issues, which means global financial easing must offset still-pronounced economic uncertainty that is keeping the USD well bid. If policy uncertainty remains high, it will continue to be a headwind for commodity-demand growth.  Feature EM GDP growth is showing signs of accelerating, based on our EM Commodity-Demand Nowcast model. This will translate to higher commodity demand in coming months (Chart of the Week). Our EM Commodity-Demand Nowcast is a coincident indicator of commodity demand, comprised of our Global Industrial Activity (GIA) Index, and our Global Commodity Factor (GCF) and EM Import Volume (EMIV) models (Chart 2). The GIA index uses trade data, FX rates, manufacturing data, and Chinese industrial activity statistics to gauge current global industrial activity, which is highly correlated with trade-related activity. The GCF uses principal component analysis to distill the primary driver of 28 different commodity prices traded globally. Lastly, the EMIV model is driven by EM import volumes reported with a two-month lag by the CPB in the Netherlands, which we update to current time using FX rates for trade-sensitive currencies, commodity prices and interest rates variables. Chart of the WeekEM Commodity-Demand Nowcast Hooking Up EM Commodity-Demand Nowcast Hooking Up EM Commodity-Demand Nowcast Hooking Up Chart 2BCA EM Commodity-Demand Nowcast Components Show Growth Resuming Globally BCA EM Commodity-Demand Nowcast Components Show Growth Resuming Globally BCA EM Commodity-Demand Nowcast Components Show Growth Resuming Globally We expect the recovery in global economic growth to reduce the marginal impact of the global policy uncertainty on the USD, and on oil demand. Our EM Commodity-Demand Nowcast is strongly correlated with y/y growth in nominal EM GDP and non-OECD oil consumption. Its improvement supports our view oil demand will continue to strengthen, particularly next year, when we expect growth to average 1.4mm b/d. We expect the recovery in global economic growth to reduce the marginal impact of the global policy uncertainty on the USD, and on oil demand.1 As demand strengthens – and recession fears subside – economic policy uncertainty’s contribution to safe-haven demand for the USD will diminish. This means economic growth will once again be the main driver of cyclical commodity demand growth. The GIA component of our Nowcast is sensitive to real activity in China, which is the largest consumer of base metals, iron ore and steel. Here, it is instructive to see the components other than manufacturing appear to have bottomed, which, at the margin, should be supportive of base metals, iron ore and steel products (Chart 3). The China Economy Component of the index has hooked higher last month, but it still is lagging. This suggests policymakers are holding off on deploying fiscal and monetary stimulus aggressively for now. We expect this will change by 1H20, if organic growth fails to materialize.2 Chart 3BCA GIA Index Components Point Toward Demand Growth BCA GIA Index Components Point Toward Demand Growth BCA GIA Index Components Point Toward Demand Growth Global Financial Conditions Support Commodity Demand For the better part of this year, systemically important central banks globally have been running accommodative monetary policies. With this week’s rate cut, the Fed now has lowered rates three times this year, and the ECB is preparing to roll out QE once again. We expect monetary policy to continue to support a revival of industrial-commodity demand (Chart 4). The easing of global financial conditions has been a pillar of our view. The easing of global financial conditions has been a pillar of our view that globally accommodative monetary policy will reverse the damage done to global commodity demand growth by the Fed’s rates-normalization policy last year and China’s deleveraging campaign of 2017-18. Financial markets have responded to this stimulus, as our colleague Rob Robis points out in this week’s Global Fixed Income Strategy.3 Global equity markets have moved 10% higher y/y, as financial conditions ease (Chart 5): Chart 4Global Financial Conditions Remain Supportive For Commodities Global Financial Conditions Remain Supportive For Commodities Global Financial Conditions Remain Supportive For Commodities Chart 5Global Equities, LEIs Move Higher Global Equities, LEIs Move Higher Global Equities, LEIs Move Higher “Equity prices are an excellent leading indicator of global growth, while bond yields typically reflect current economic conditions. … We see no reason to discount the positive message on growth from rallying equity markets, especially when confirmed by an improvement in our global leading economic indicator (LEI), led by the more cyclical emerging market (EM) countries.” (Chart 6). The real economy also is responding to stimulative global financial conditions, as EM manufacturing activity indicates. EM manufacturing is outpacing activity in DM markets (Chart 7). This is bullish for trade volumes and EM income growth, which will, all else equal, be supportive of industrial-commodity demand (Chart 8). Chart 6EM Equity, FX Markets Strengthen EM Equity, FX Markets Strengthen EM Equity, FX Markets Strengthen Chart 7EM Manufacturing Outperforms DM EM Manufacturing Outperforms DM EM Manufacturing Outperforms DM Chart 8EM Manufacturing Correlates With Trade Growth EM Manufacturing Correlates With Trade Growth EM Manufacturing Correlates With Trade Growth Economic Policy Uncertainty Continues To Dog Growth As promising as these indications of a revival in commodity demand may be, global economic policy uncertainty – particularly as regards the Sino-US trade war and trade in general – will remain a hindrance to reviving commodity demand. We have shown that global economic uncertainty stifles oil-demand growth, and commodity demand generally.4These policy risks are exogenous to the commodity markets and are, therefore, very difficult to hedge. While we expect economic uncertainty globally to decline, it will not completely evaporate. It will remain elevated vs. its historical average, despite the decline from its recent record-high level. Presently, commodity markets are positively discounting the likely “phase one” trade deal expected to be agreed between Presidents Trump and Xi Jinping. We expect this to reduce economic uncertainty and weaken the USD, at the margin. In addition, as our colleague Matt Gertken notes in last week’s Geopolitical Strategy, other sources of uncertainty – particularly a disorderly Brexit – also are being addressed: “Not only are U.S.-China relations slightly thawing, but also the risk of the U.K. leaving the EU without a withdrawal agreement has collapsed. This will reinforce Europe’s underlying political stability despite the manufacturing recession and help create a drop in global uncertainty.”5 Still, while we expect economic uncertainty globally to decline, it will not completely evaporate. It will remain elevated vs. its historical average, despite the decline from its recent record-high level. Consequently, monetary policy will have to remain accommodative in order for the momentum in global growth – mainly in EM economies – to increase and reach the threshold where fears of recession dissipate, a necessary condition required to reduce the correlation between global economic policy uncertainty and the USD. For the USD to no longer be a headwind to commodity-demand growth, monetary policy globally will be forced to offset the remaining, lingering economic policy uncertainty that is keeping the USD well bid.  There still are significant risks going into 2020, as our geopolitical strategists note: “Uncertainty will remain elevated beyond the fourth quarter, however, for two main reasons. First, US uncertainty will rise, not fall, as a result of the impending 2020 election. Second, the trade ceasefire is highly unlikely to resolve the slate of disagreements and underlying strategic distrust plaguing U.S.-China relations. This will cap the rebound we expect in global business sentiment.” So, while uncertainty will fall as President Trump retreats from his previously intransigent trade position vis-à-vis China, its diminution will be limited. All the same, the chances markets will return to the status quo ante are close to zero. This means that for the USD to no longer be a headwind to commodity-demand growth, monetary policy globally will be forced to offset the remaining, lingering economic policy uncertainty that is keeping the USD well bid. So far, it would appear this is happening, given the improvement in global financial conditions currently visible in the data. However, it is not a given this will continue, and markets will be forced to keep a weather eye on these conditions going forward. Bottom Line: Global financial conditions are easing significantly and propelling financial markets higher, particularly global equity markets. We expect the real economy – i.e., commodity markets – also will benefit from monetary accommodation and that aggregate demand will lift as EM income growth improves. This likely will put downward pressure on the USD. Importantly, if the divergence between EM and DM increases, it could offset the impact of global economic policy uncertainty’s impact on the USD and reduce the demand for dollars. We continue to expect oil demand to be supported by monetary accommodation globally and fiscal stimulus as 2019 winds down and into 2020. We also expect real interest rates will remain soft, as central banks try to keep financial conditions loose enough to encourage risk taking and investment. This will continue to support demand for industrial commodities, particularly oil and base metals.   Robert P. Ryan Chief Commodity & Energy Strategist rryan@bcaresearch.com Hugo Bélanger Senior Analyst Commodity & Energy Strategy HugoB@bcaresearch.com   Market Round-Up NB: This week we are adopting a new format and moving our short summaries of other commodity markets to the back of our Weekly Report, which will align our layout with BCA Research’s new look. Energy: Overweight. Saudi Aramco is set to IPO November 3, 2019, according to Reuters. The company is looking at a float of 1 – 2% on the Tadawal, which could be the largest IPO in history.6 Separately, the Trump administration renewed Chevron’s waiver to operate in Venezuela for three months last week. Chevron produces ~ 47k b/d in Venezuela. Sanctions waivers for Halliburton, Schlumberger, Baker Hughes and Weatherford International also were renewed.7 Base Metals: Neutral. LME nickel closed close to 12% below the five-year high registered September 2, following the announcement of an immediate ban in exports of nickel ore from Indonesia on Monday. Although LME nickel stocks are at an 11-year low refined nickel production is expected to rise 4.5% next year to 2.5mm MT, according to MB Fastmarkets. Precious Metals: Neutral. Gold traded sideways going into this week’s FOMC meeting. We remain long gold as a portfolio hedge, and continue to expect it to move higher as 4Q19 progresses. Ags/Softs: Underweight. Grains remain lackluster, despite President Trump's expectations of cementing his “phase one deal” with Chinese President Xi Jinping, which will open the way for China to purchase some $40-$50 billion worth of US ag products. Footnotes 1 We discuss the impact of global economic policy uncertainty on oil prices at length in Policy Uncertainty Lifts USD, Stifles Global Oil Demand Growth, which we published October 17, 2019.  2 Our China Investment Strategy team cautions investors to wait for “hard data” to confirm recent indications the economy has bottomed and will be moving toward stronger growth.  Please see our China Macro And Market Review published October 2, 2019.  It is available at cis.bcaresearch.com. 3 Please see Big Mo(mentum) Is Turning Positive, published by BCA Research’s Global Fixed Income Strategy October 29, 2019.  It is available at gfis.bacresearch.com. 4 Please see Policy Uncertainty Lifts USD, Stifles Global Oil Demand Growth, which we published October 17, 2019, for more detail on the transmission mechanism from global economic uncertainty to the USD to commodity demand.  Briefly, as uncertainty increases safe-haven demand for the USD increases.  This stifles demand growth for commodities generally, because it increases the local-currency costs of commodities ex-US. 5 Please see Is China Afraid Of The Big Bad Warren?, a Special Report published by BCA Research’s Geopolitical Strategy October 25, 2019.  It is available at gps.bcaresearch.com. 6 Please see Saudi Aramco aims to begin planned IPO on Nov. 3: sources published by reuters.com on October 29, 2019. 7 Please see US Extends Chevron's Venezuela waiver published by Argus Media’s argusmedia.com service October 21, 2019. Investment Views and Themes Strategic Recommendations Tactical Trades TRADE RECOMMENDATION PERFORMANCE IN 2019 Q3 Global Economic Policy Uncertainty Lifts Gold And USD Together Global Economic Policy Uncertainty Lifts Gold And USD Together Commodity Prices and Plays Reference Table Trades Closed in Summary Of Trades Closed In 2018 Global Economic Policy Uncertainty Lifts Gold And USD Together Global Economic Policy Uncertainty Lifts Gold And USD Together Summary Of Trades Closed In 2017 Global Economic Policy Uncertainty Lifts Gold And USD Together Global Economic Policy Uncertainty Lifts Gold And USD Together Summary Of Trades Closed In 2016 Global Economic Policy Uncertainty Lifts Gold And USD Together Global Economic Policy Uncertainty Lifts Gold And USD Together
Highlights Declining uncertainty over policy, stabilizing growth in China and improvements in international liquidity, all will allow global economic activity to pick up in the months ahead. A weak dollar will reinforce this positive economic outlook; investors should favor pro-cyclical currencies such as the AUD, NZD and SEK. Bond yields will rise and stocks will outperform bonds on a 12- to 18-month basis. Cyclical stocks are more attractive than defensives. European stocks will outperform U.S. equities and European financials will shine. Copper is a promising buy; stay long the silver-to-gold ratio. Feature The outlook for risk assets and bond yields hinges on global economic activity. The S&P 500 has hit a new high, but our BCA Equity Scorecard Indicator remains non-committal towards stocks (Chart I-1). If global economic activity improves, the Scorecard will begin to flash a clear buy signal, but if growth deteriorates, the indicator will point towards sell. Chart I-1Stocks Could Go Either Way Stocks Could Go Either Way Stocks Could Go Either Way Cautious optimism is in order. Politics, China, liquidity conditions and the dollar collectively will determine the global economic outlook. The liquidity backdrop has significantly improved, political uncertainty should recede and China will morph from a headwind to a modest tailwind. A weak dollar will indicate that the world is healing, and also will ease global financial conditions which will facilitate economic strength. We remain committed to a positive stance on equities on a 12- to 18-month horizon, and recommend below-benchmark duration in fixed-income portfolios. Cyclicals should outperform defensives, European banks offer an attractive tactical buying opportunity and European equities will outperform their U.S. counterparts. Heightened Risks… Chart I-2Risks To The Economy And Stocks Risks To The Economy And Stocks Risks To The Economy And Stocks Many domestic indicators overstate the intrinsic fragility in the U.S. The Duncan LEI, which is the ratio of consumer durable spending and residential and business investment to final sales, has flattened. Therefore, the S&P 500 looks vulnerable and real GDP may contract (Chart I-2). CEO confidence and small business capex intentions warn of a looming retrenchment in household income (Chart I-2, bottom two panels). If consumer spending weakens, then a recession will be unavoidable. As worrisome as these indicators may be, we previously discussed that the major debt imbalances that often precede U.S. recessions are absent,1 the rebound in housing starts and homebuilding confidence is inconsistent with a restrictive monetary stance,2 and pipeline inflationary pressures are absent.3 Instead, business confidence and the Duncan LEI have been eroded by heightened political uncertainty and weak global manufacturing and trade. … Meet Receding Policy Uncertainty … The two biggest sources of policy uncertainty affecting markets, the Sino-U.S. trade war and Brexit, are diminishing. However, the U.S. election will continue to lurk in the background. Chart I-3Weaker Brexit Support = No Hard Brexit Support Weaker Brexit Support = No Hard Brexit Support Weaker Brexit Support = No Hard Brexit Support Brexit Westminster and Britain’s Supreme Court have rebuked U.K. Prime Minister Boris Johnson’s threat of a “No-Deal” Brexit. Moreover, parliamentary support for his latest plan, which essentially keeps Northern Ireland’s economy within the EU, indicates that the probability of a “No-Deal” Brexit has collapsed to less than 5%. This assessment is reinforced by the delay of Brexit to January 31, 2020. An election is scheduled for December 12 and the chance of a new referendum to vet the deal is escalating. According to Matt Gertken, BCA’s Geopolitical Strategist, an election does not increase the risk of a hard Brexit. Meanwhile, support for Brexit is near its lowest point since the June 2016 referendum (Chart I-3). Thus, a new plebiscite would not favor a “No Deal” Brexit. Sino-U.S. Trade War Chart I-4Why The Trade-War Ceasefire? Why The Trade-War Ceasefire? Why The Trade-War Ceasefire? The trade war truce will also greatly diminish economic uncertainty. Uncertainty created by the China-U.S. conflict accentuated the collapse in business confidence and capex intentions. The “phase one deal” announced earlier this month will likely materialize. The White House’s tactical retreat on trade is tied to U.S. President Donald Trump’s desire for a second term. He cannot risk inflicting further economic pain on his base of constituents.  Weekly earnings are decreasing for workers in swing states located in the industrial rust belt, especially in those areas that Trump carried in 2016 (Chart I-4). Those swing states are most affected by the slowdown in the global manufacturing and trade sectors. Beijing is also motivated to agree to truce due to its soft economy and deflationary pressures. An easing in trade uncertainty will be positive for the domestic economy. China’s willingness to replace Carrie Lam, the embattled Chief Executive of Hong Kong, and to withdraw the extradition bill at the heart of the protests confirms its eagerness to come to an agreement with the U.S. China’s readiness to make a deal is also made evident by its increasing imports of U.S. agricultural products (Chart I-4, bottom panel). Ultimately, the U.S. will not implement tariffs in December on $160 billion of Chinese shipments. Consequently, investors and businesses should become less concerned about the chances of a worsening trade war. Moreover, chances are growing of a decrease (but not a complete annulation) of the previously imposed U.S. tariffs on China. … And A Q1 2020 Acceleration In Global Growth Global economic activity will improve in Q1 2020 because the drag from China will dissipate and global liquidity conditions will improve. Many activity indicators increasingly reflect these fundamental supports. China China’s economy has reached a new low point: Q3 annual GDP growth is at a 27-year low of 6%, capital spending is weak, industrial production and profits show little life, the labor market is soft, and imports and exports continue to contract. However, a turn in policy has materialized, which will protect the domestic economy. Moreover, this summer’s Politburo and State Council statements showed an increased willingness to reflate the economy. The global economy will accelerate in Q1 2020. Credit creation has stabilized and monetary conditions have eased (Chart I-5). Faced with producer price inflation of -1.2% and employment PMIs of 47.3 and 48.2 in the manufacturing and non-manufacturing sectors, respectively, authorities have allowed the credit impulse to improve to 26% of GDP from a low of 23.8%. In accordance with this new policy direction, the drag from the shadow banking system’s contraction will slow considerably, thanks to a stabilization in both the growth rate of deposits of non-depository financial institutions and the issuance of bonds by small financial institutions. Additionally, the emission of local government bonds will accelerate. Beijing has also meaningfully eased fiscal policy, which is its preferred reflationary tool. Policymakers have cut taxes by 2.8% of GDP in the past two years. The marginal propensity of households to consume is trying to bottom (Chart I-5, bottom). If history is a guide, the acceleration in the rate of change of public-sector capex will fuel this turnaround in China’s marginal propensity to consume, and push up BCA’s China Activity Indicator (Chart I-6). Chart I-5Overlooked Chinese Improvements Overlooked Chinese Improvements Overlooked Chinese Improvements Chart I-6Public Investment Matters Public Investment Matters Public Investment Matters   Chart I-7A Bottom In Chinese Exports Growth? A Bottom In Chinese Exports Growth? A Bottom In Chinese Exports Growth? China’s economy is unlikely to bounce back as violently as in 2009, 2012 or 2016. Authorities are much more circumspect in their use of credit to reflate the economy than they were previously. Moreover, the regulatory environment will prevent a boom in the shadow banking system. Nonetheless, the fiscal push and the end of the decline in aggregate credit growth will allow the Chinese economy to stabilize and maybe pick up a bit. Therefore, China will move from a large headwind to a slight tailwind for global activity (Chart I-7, top panel). Mounting public capex also points toward a modest global recovery (Chart I-7, middle panel). Finally, the upturn in our Chinese reflation indicator, which incorporates both fiscal and monetary policy, points to a re-acceleration in U.S. capex intentions (Chart I-7, bottom panel). Global Liquidity Global liquidity conditions continue to improve and the global economy should soon respond within normal policy lags. 95% of central banks are loosening policy, which normally leads to an escalation in global activity (Chart I-8). The dominant central banks (the Federal Reserve, the European Central Bank and the Bank of Japan) will not tighten anytime soon. Inflation expectations in the U.S., the euro area and Japan stand at 1.9%, 1.1%, and 0.2%, respectively, well below levels consistent with a 2% inflation target. Moreover, U.S. core CPI has been perky, but both the ISM and the performance of transportation equities relative to utilities indicate that a deceleration in inflation is imminent (Chart I-9). Salaries are not yet inflationary either because U.S. real wages are growing in line with productivity (Chart I-9, bottom panel). In the euro area and Japan, realized core inflation remains at 1.0% and 0.5%, respectively, and supports the dovish message emanating from inflation expectations. Chart I-8Easier Global Policy Is Important Easier Global Policy Is Important Easier Global Policy Is Important Chart I-9If Inflation Peaks, The U.S. Economy Will Breath A Sigh Of Relief If Inflation Peaks, The U.S. Economy Will Breath A Sigh Of Relief If Inflation Peaks, The U.S. Economy Will Breath A Sigh Of Relief     Liquidity indicators are reflecting this accommodative policy setting. The growth of U.S. and European bank deposits has reaccelerated from 2.5% to 6%, a development linked to the exit of a soft patch (Chart I-10). Moreover, BCA’s U.S. Financial Liquidity Indicator is still moving higher and flashing a resurgence in the BCA Global Leading Economic Indicator (LEI), the ISM Manufacturing Index, commodity prices, and EM export prices (Chart I-11). Finally, U.S. and global excess money reinforce the message of BCA’s U.S. Financial liquidity Indicator (Chart I-12). Chart I-10Deposits Suggest The Worst Of The Slowdown Is Behind Us Deposits Suggest The Worst Of The Slowdown Is Behind Us Deposits Suggest The Worst Of The Slowdown Is Behind Us Chart I-11Continued Pick-Up In Financial Liquidity Continued Pick-Up In Financial Liquidity Continued Pick-Up In Financial Liquidity       The Fed will add to the supply of global liquidity by tackling the repo market’s seize-up. Depleting excess reserves and mounting financing needs among primary dealers resulted in the September surge in the Secured Overnight Financing Rate (SOFR). The Fed announced three weeks ago it would buy $60 billion per month of T-Bills and T-Notes, which will lead to a climbing stock of excess reserves. Higher excess reserves create a weaker dollar, stronger EM currencies and firming global PMIs (Chart I-13). Ultimately, EM currency strength eases EM financial conditions, which supports global growth (Chart I-13, bottom panel). Chart I-12Excess Liquidity Is Accelerating Excess Liquidity Is Accelerating Excess Liquidity Is Accelerating Chart I-13U.S. Excess Reserves Will Grow Again U.S. Excess Reserves Will Grow Again U.S. Excess Reserves Will Grow Again   Borrowing activity in Advanced Economies is showing signs of life. Bank credit is already responding to the drop in global yields, and global corporate bond issuance in September 2019 rose to $434 billion. In the U.S., new issues of corporate bonds have also reaccelerated (Chart I-14). Global Growth Indicators Crucial indicators of global economic activity are picking up on this improving fundamental backdrop. The list includes: A sharp takeoff in the annualized three-month rate of change of capital goods orders in the U.S., the Eurozone and Japan (Chart I-15, top panel). Improvement in this indicator precedes progress in the annual growth rate of orders and in capex itself. Chart I-14Borrowers Are Responding To Easier Financial Conditions Borrowers Are Responding To Easier Financial Conditions Borrowers Are Responding To Easier Financial Conditions Chart I-15Some Green Shoots Are Coming Through Some Green Shoots Are Coming Through Some Green Shoots Are Coming Through Chart I-16Positive Market Signals Positive Market Signals Positive Market Signals A significant upturn in the Philly Fed, Empire State, and Richmond Fed manufacturing surveys for October, which sends a positive signal for the ISM Manufacturing Index (Chart I-15, second panel). Moreover, the new orders and employment components of these surveys indicate that cyclical sectors of the economy will recover and the recent deterioration in employment conditions will be fleeting. A rebound in BCA’s EM economic diffusion index, which incorporates 23 variables. Such an increase usually precedes inflections in global industrial production (Chart I-15, bottom panel). An acceleration – both in absolute and relative terms - in the annual appreciation of Taiwanese stocks. A strong and outperforming Taiwanese equity market is a harbinger of firmer PMIs (Chart I-16, top two panels). A solid performance of EM carry trades financed in yen, European luxury equities, and the relative performance of global semiconductors, materials and industrial stocks, which signal stronger global PMIs (Chart I-16, bottom three panels). Bottom Line: The global economy will accelerate in Q1 2020. A melting probability of a “No-Deal” Brexit and a truce in the Sino-U.S. trade war will allow global uncertainty to recede. Concurrently, China’s economic slowdown is ending and global liquidity conditions are improving. The Dollar As The Arbiter Of Growth Chart I-17The Dollar Is A Counter-Cyclical Currency The Dollar Is A Counter-Cyclical Currency The Dollar Is A Counter-Cyclical Currency The dollar faces potent headwinds. The greenback is a countercyclical currency; a business cycle upswing and a weak USD go hand in hand (Chart I-17). The tightness of this relationship results from a powerful feedback loop: weak growth boosts the dollar, but the dollar’s strength foments additional economic slowdown. Global liquidity and activity indicators signal a weaker dollar because they point toward an economic recovery. BCA’s U.S. Financial Liquidity Index, which foresaw a deceleration in the greenback’s rate of appreciation, is calling for an outright depreciation (Chart I-18, top panel). The expanding holdings of securities on U.S. commercial banks’ balance sheets (a key measure of liquidity) corroborates this message. According to a model based on the U.S., Eurozone, Japanese and Chinese broad money supply, the USD should significantly depreciate in the coming 12 months (Chart I-18, third panel). Finally, our EM Economic Diffusion Index validates pressures on the greenback, especially against commodity currencies (Chart I-18, bottom two panels). Chart I-18Liquidity And Growth Indicators Point To A Weaker Dollar Liquidity And Growth Indicators Point To A Weaker Dollar Liquidity And Growth Indicators Point To A Weaker Dollar Growth differentials support this picture. Late last year, the stimulating effect of President Trump’s tax cuts allowed the U.S. to temporarily diverge from a weak global economy, but the U.S. manufacturing sector is now succumbing to the global slowdown. Once global growth snaps back, the U.S. is likely to lag behind as fiscal policy is becoming more stimulative outside the U.S. than in the U.S. Based on historical delays, this will continue to hurt the dollar (Chart I-19, top panel). Finally, the European economy generally outperforms the U.S. when China reflates, especially if Beijing’s push lifts the growth rate of M1 relative to M2, a proxy for China’s aggregate marginal propensity to consume (Chart I-20). Europe’s greater cyclicality reflects is larger exposure to both trade and manufacturing compared with the U.S. Chart I-19A Global Growth Convergence Will Hurt The Dollar A Global Growth Convergence Will Hurt The Dollar A Global Growth Convergence Will Hurt The Dollar Chart I-20European Growth To Rise Vis-A-Vis The U.S. European Growth To Rise Vis-A-Vis The U.S. European Growth To Rise Vis-A-Vis The U.S.   The greenback is expensive and technically vulnerable, which compounds its cyclical risk. The trade-weighted dollar is at a 25% premium to its purchasing power parity equilibrium (PPP), an overvaluation comparable to its 1985 and 2002 peaks. Moreover, our Composite Technical Indicator is overextended and has formed a negative divergence with the price of the dollar (see page 54, Section III). Finally, speculators are massively long the U.S. Dollar Index (DXY). Balance-of-payment flows also flash a significant downside in the dollar (Chart I-21). The U.S. current account deficit stands at 2.5% of GDP, but it is widening in response to the dollar’s overvaluation and the White House’s expansive fiscal policy. Since 2011, foreign direct investments (FDI) have been the main driver of the dollar’s gyrations. Last year, net FDI surged in response to profit repatriations encouraged by the Tax Cuts and Jobs Act of 2017, while portfolio flows stayed in neutral territory. This regulatory change had a one-off impact and FDI will begin to dry out. Therefore, financing the widening current account deficit will become harder. Finally, after years in the red, net portfolio flows into Europe have turned positive (Chart I-21, bottom panel). The USD’s depreciation will ease global financial conditions and supports growth further. In this context, interest rate differentials are noteworthy. The two-year spread in real rates between the U.S. and the rest of the G-10 has fallen significantly since October 2018. Reversals in real rates herald a weaker dollar, especially when it faces valuation, technical and flow handicaps. Moreover, European five-year forward short rate expectations are near record lows. If global growth can stabilize, then the five-year forward one-month OIS will pick up, especially relative to the U.S. An uptick will boost the EUR/USD pair and hurt the dollar (Chart I-22). Chart I-21Balance-Of-Payments Dynamics Turning Against The USD Balance-Of-Payments Dynamics Turning Against The USD Balance-Of-Payments Dynamics Turning Against The USD Chart I-22Relative Long-Term Rate Expectations And The Euro Relative Long-Term Rate Expectations And The Euro Relative Long-Term Rate Expectations And The Euro   The three most pro-cyclical currencies in the G-10 – the AUD, NZD and SEK - strengthen the most when BCA’s Global LEI bottoms but global inflation slows (Chart I-23). The GBP will likely generate a much stronger-than-normal performance next year. Cable trades at a 22% discount to PPP. It is also 19% cheap versus short-term interest rate parity models. The absence of a “No-Deal” Brexit should allow these risk premia to dissipate and the pound to recover. The CAD is also more attractive than Chart I-23 implies. The loonie is trading 10% below its PPP, and the USD/CAD often lags the EUR/CAD, a pair that has broken down (Chart I-24). Chart I-23Currency Performance As A Function Of Growth And Inflation November 2019 November 2019 Chart I-24EUR/CAD Flashing A Bearish USD/CAD Signal EUR/CAD Flashing A Bearish USD/CAD Signal EUR/CAD Flashing A Bearish USD/CAD Signal Bottom Line: A rebound in the global manufacturing sector next year will hurt the USD. The dollar is particularly vulnerable because growth differentials between the U.S. and the rest of the world have melted, the greenback is expensive, balance-of-payment dynamics are deteriorating and interest rate differentials are becoming less supportive. The USD’s depreciation will ease global financial conditions and supports growth further. Additional Investment Implications Bond Yields Have More Upside While the short-term outlook for bonds remains murky, the 12- to 18-month outlook is unambiguously bearish. The BCA Bond Valuation Index is still consistent with much higher U.S. yields in the next 12-18 months (see Section III, page 51). BCA’s Composite Technical Indicator for T-Notes is massively overbought and sentiment, as approximated by the Long-Term Interest Rates component of the ZEW survey, is overly bullish (Chart I-25). Thus, bonds represent an attractive cyclical sell. The Fed will not cut rates aggressively enough for bonds to ignore these valuation and technical risks. Treasurys have outperformed cash by 7.5% in the past year. Based on historical relationships, the Fed needs to cut rates to zero for bonds to beat cash in the coming 12 months (Chart I-26). After this week’s Fed cut to 1.75%, our base case is none to maybe one more rate cut. Chart I-25Sentiment Points To Yield Upside Sentiment Points To Yield Upside Sentiment Points To Yield Upside Chart I-26The Fed Must Cut To Zero For T-Notes To Outperform Cash Further The Fed Must Cut To Zero For T-Notes To Outperform Cash Further The Fed Must Cut To Zero For T-Notes To Outperform Cash Further   Bond yields will need a recession to move lower. The deviation of 10-year Treasury yields from their two-year moving average closely tracks the Swedish Economic Diffusion Index (Chart I-27, top panel). Sweden, a small, open economy highly levered to the global industrial cycle, is a good gauge of the global business cycle. The broad weakness in the Swedish economy is unlikely to worsen unless the global slowdown morphs into a deep recession. Even if global growth remains mediocre, Sweden’s Economic Diffusion Index will rise along with yields. The expansion in securities holdings of U.S. commercial banks and the stabilization in China’s credit flows both support this notion (Chart I-27, bottom panel). Financial market developments also point to higher yields. Sectors that typically capture the momentum in the global economy are perking up. For example, bottoms in the annual performance of European luxury equities or Taiwanese stocks have preceded increases in yields (Chart I-28). Chart I-27Yields Have Upside Yields Have Upside Yields Have Upside Chart I-28Key Financial Market Signals For Yields Key Financial Market Signals For Yields Key Financial Market Signals For Yields   Stocks Will Outperform Bonds Our conviction is strengthening that equities will outperform bonds. The total return of the stock-to-bond ratio has upside. BCA’s Global Economic and Financial Diffusion Index has rallied sharply, which often precedes an ascent in the stock-to-bond ratio, both in the U.S. and globally (Chart I-29). Bonds are much more expensive than stocks, therefore, only a recession will allow stocks to underperform in the coming 12 to 18 months. The environment is positive for equities. BCA’s Monetary Indicator is very elevated and our Composite Sentiment Indicator shows little complacency toward stocks among investors (see Section III, page 47). Finally, the strength in the U.S. Financial Liquidity Indicator supports the S&P 500’s returns (Chart I-30). Chart I-29Cyclical Indicators Argue In Favor Of Stocks Over Bonds Cyclical Indicators Argue In Favor Of Stocks Over Bonds Cyclical Indicators Argue In Favor Of Stocks Over Bonds Chart I-30Liquidity Tailwind For The S&P 500 Liquidity Tailwind For The S&P 500 Liquidity Tailwind For The S&P 500   A few market developments are noteworthy. 55.6% of the S&P 500’s constituents have reported Q3 earnings, and 74% of those firms are beating estimates. Moreover, the market is generously rewarding firms with the largest positive earnings surprises. Additionally, the Value Line Geometric Index is forming a reverse head-and-shoulder pattern, while the relative performance of the Russell 2000 has formed a double bottom (Chart I-31). The environment also favors cyclicals relative to defensive equities. By lifting bond yields, stronger economic activity leads to a contraction in the multiples of defensives relative to cyclicals. The latter’s earnings expectations respond more positively to reviving economic activity, which creates an offset to climbing discount rates. As a result, cyclicals often outperform defensives when the stock-to-bond ratio increases, or after Taiwanese equities gain momentum (Chart I-32). Chart I-31Improving Equity Market Dynamics Improving Equity Market Dynamics Improving Equity Market Dynamics Chart I-32Favor Cyclicals Over Defensives Favor Cyclicals Over Defensives Favor Cyclicals Over Defensives   Compared to other equity markets, the U.S. faces the most challenges. Our model forecasts a 3% annual drop in the S&P 500’s operating earnings in June 2020, and the deviation of U.S. equities from their 200-day moving average has greatly diverged from net earnings revisions (Chart I-33). U.S. equities have already discounted a turnaround in earnings. Moreover, the S&P 500’s margins have downside, a topic covered by BCA’s Chief Equity Strategist Anastasios Avgeriou.4 Our Composite Margin Proxy, Operating Margins Diffusion Index and Corporate Pricing Power Indicator all remain weak (Chart I-34). Downward pressure on margins will limit how rapidly earnings respond when a rebound in global economic activity lifts revenues. Finally, the S&P 500 trades at a historically elevated forward P/E ratio of 18.4, the MSCI EAFE trade at a much more reasonable 14-times forward earnings. Chart I-33Headwinds For U.S. Stocks Headwinds For U.S. Stocks Headwinds For U.S. Stocks Chart I-34Headwinds For U.S. Margins Headwinds For U.S. Margins Headwinds For U.S. Margins   The tech sector will also weigh on the performance of U.S. equities relative to international stocks. Tech stocks represent 22.5% of the U.S. benchmark, compared with 9.7% for the euro area. Anastasios recently argued that software spending has remained surprisingly resilient despite the global economic slowdown; it will likely lag spending on machinery and structures when the cycle picks up.5 Consequently, tech earnings will lag other traditional cyclical sectors. Moreover, tech multiples will suffer when the dollar depreciates and bond yields rise (Chart I-35). As high-growth stocks, tech equities derive a large proportion of their intrinsic value from long-term deferred cash flows and their terminal value. Thus, tech multiples are highly sensitive to discount factors. Unaffected by those negatives, European equities will benefit most from the outperformance of stocks relative to bonds. A weak dollar will be the first positive for the common-currency returns of European equities. Valuations are the second tailwind. The risk premium for European equities is 300 basis points higher than for U.S. stocks. Moreover, U.S. margins will likely diminish relative to the Eurozone’s because of stronger unit labor costs in the U.S. Sector composition will also dictate the performance of European equities. Compared with the U.S., Europe is underweight tech and healthcare stocks, a defensive sector (Table I-1). Investors who favor Europe will also bet against these two sectors. Europe is a wager on the other cyclical sectors: materials, industrials, energy and financials. Chart I-35Tech P/Es Are At Risk Tech P/Es Are At Risk Tech P/Es Are At Risk Table I-1Europe Overweights The Correct Cyclicals November 2019 November 2019   European financials are particularly attractive. Negative European yields are a major handicap for European financials, but this handicap is already reflected in their price. European banks trade at a price-to-book ratio of 0.6 versus 1.3 for the U.S. This discount should be narrowing, not widening. Yields are bottoming and European loan growth is contracting at a -2% annual rate relative to the U.S. versus -8.6% five years ago. Meanwhile, the annual rate of change of European deposits is in line with the U.S. The attraction of European banks comes from the outlook for their return on tangible equity. A model shows that three variables govern European banks’ ROE: German yields, Italian spreads and the momentum of the silver-to-gold ratio (SGR). German yields impact net interest margins, Italian spreads drive peripheral financial conditions and thus, loan generation in the European periphery, and the SGR tracks the global manufacturing cycle (silver has more industrial uses than gold, but is equally sensitive to real yields), which affects loan flows in the European core. This model logically tracks the performance of European banks and financials (Chart I-36). Our positive outlook on global growth and yields, along with the fall in Italian spreads, augurs well for cheap European financial equities and banks in particular. Commodities Our constructive stance on the global business cycle and yields, plus our negative view on the greenback, is consistent with higher industrial commodity prices. Copper looks particularly attractive. Speculators are aggressively selling the metal, whose price stands at an important technical juncture (Chart I-37). Chart I-36The Drivers Of RoE Point To Higher European Bank Stock Prices The Drivers Of RoE Point To Higher European Bank Stock Prices The Drivers Of RoE Point To Higher European Bank Stock Prices Chart I-37Cooper Is An Attractive Play On Global Growth Cooper Is An Attractive Play On Global Growth Cooper Is An Attractive Play On Global Growth   Chart I-38Favorable Technical Backdrop For Silver-To-Gold Ratio Favorable Technical Backdrop For Silver-To-Gold Ratio Favorable Technical Backdrop For Silver-To-Gold Ratio Finally, we have favored the SGR since late June. Silver is deeply oversold and under-owned relative to the yellow metal (Chart I-38). Consequently, silver’s greater industrial usage should be a potent tailwind for the SGR.6 Mathieu Savary Vice President The Bank Credit Analyst October 31, 2019 Next Report: November 22, 2019 - Outlook 2020   II. Back To The Nineteenth Century The Cold War is a limited analogy for the U.S.-China conflict; In a multipolar world, complete bifurcation of trade is difficult if not impossible; History suggests that trade between rivals will continue, with minimal impediments; On a secular horizon, buy defense stocks, Europe, capex, and non-aligned countries. There is a growing consensus that China and the U.S. are hurtling towards a Cold War. BCA Research played some part in this consensus – at least as far as the investment community is concerned – by publishing “Power and Politics in East Asia: Cold War 2.0?” in September 2012.7 For much of this decade, Geopolitical Strategy focused on the thesis that geopolitical risk was rotating out of the Middle East, where it was increasingly irrelevant, to East Asia, where it would become increasingly relevant. This thesis remains cogent, but it does not mean that a “Silicon Curtain” will necessarily divide the world into two bifurcated zones of capitalism. Trade, capital flows, and human exchanges between China and the U.S. will continue and may even grow. But the risk of conflict, including a military one, will not decline. In this report, we first review the geopolitical logic that underpins Sino-American tensions. We then survey the academic literature for clues on how that relationship will develop vis-à-vis trade and economic relations. The evidence from political theory is surprising and highly investment relevant. We then look back at history for clues as to what this means for investors. The U.S.-China conflict will not lead to complete bifurcation of the global economy. Our conclusion is that it is highly likely that the U.S. and China will continue to be geopolitical rivals. However, due to the geopolitical context of multipolarity, it is unlikely that the result will be “Bifurcated Capitalism.” Rather, we expect an exciting and volatile environment for investors where geopolitics takes its historical place alongside valuation, momentum, fundamentals, and macroeconomics in the pantheon of factors that determine investment opportunities and risks. The Thucydides Trap Is Real … Speaking in the Reichstag in 1897, German Foreign Secretary Bernhard von Bülow proclaimed that it was time for Germany to demand “its own place in the sun.”8 The occasion was a debate on Germany’s policy towards East Asia. Bülow soon ascended to the Chancellorship under Kaiser Wilhelm II and oversaw the evolution of German foreign policy from Realpolitik to Weltpolitik. While Realpolitik was characterized by Germany’s cautious balancing of global powers under Chancellor Otto von Bismarck, Weltpolitik saw Bülow and Wilhelm II seek to redraw the status quo through aggressive foreign and trade policy. Imperial Germany joined a long list of antagonists, from Athens to today’s People’s Republic of China, in the tragic play of human history dubbed the “Thucydides Trap.”9 Chart II-1Imperial Overstretch Imperial Overstretch Imperial Overstretch The underlying concept is well known to all students of world history. It takes its name from the Greek historian Thucydides and his seminal History of the Peloponnesian War. Thucydides explains why Sparta and Athens went to war but, unlike his contemporaries, he does not moralize or blame the gods. Instead, he dispassionately describes how the conflict between a revisionist Athens and established Sparta became inevitable due to a cycle of mistrust. Graham Allison, one of America’s preeminent scholars of international relations, has argued that the interplay between a status quo power and a challenger has almost always led to conflict. In 12 out of the 16 cases he surveyed, actual military conflict broke out. Of the four cases where war did not develop, three involved transitions between countries that shared a deep cultural affinity and a respect for the prevailing institutions.10 In those cases, the transition was a case of new management running largely the same organizational structure. And one of the four non-war outcomes was nothing less than the Cold War between the Soviet Union and the U.S. The fundamental problem for a status quo power is that its empire or “sphere of influence” remains the same size as when it stood at the zenith of power. However, its decline in a relative sense leads to a classic problem of “imperial overstretch.” The hegemonic or imperial power erroneously doubles down on maintaining a status quo that it can no longer afford (Chart II-1). The challenger power is not blameless. It senses weakness in the hegemon and begins to develop a regional sphere of influence. The problem is that regional hegemony is a perfect jumping off point towards global hegemony. And while the challenger’s intentions may be limited and restrained (though they often are ambitious and overweening), the status quo power must react to capabilities, not intentions. The former are material and real, whereas the latter are perceived and ephemeral. In a multipolar world, the U.S. will not be able to exclude China from the global system. The challenging power always has an internal logic justifying its ambitions. In China’s case today, there is a sense among the elite that the country is merely mean-reverting to the way things were for many centuries in China’s and Asia’s long history (Chart II-2). In other words, China is a “challenger” power only if one describes the status quo as the past three hundred years. It is the “established” power if one goes back to an earlier state of affairs. As such, the consensus in China is that it should not have to pay deference to the prevailing status quo given that the contemporary context is merely the result of western imperialist “challenges” to the established Chinese and regional order. Chart II-2China’s Mean Reverting Narrative November 2019 November 2019 In addition, China has a legitimate claim that it is at least as relevant to the global economy as the U.S. and therefore deserves a greater say in global governance. While the U.S. still takes a larger share of the global economy, China has contributed 23% to incremental global GDP over the past two decades, compared to 13% for the U.S. (Chart II-3). Chart II-3The Beijing Consensus November 2019 November 2019 Bottom Line: The emerging tensions between China and the U.S. fit neatly into the theoretical and empirical outlines of the Thucydides Trap. We do not see any way for the two countries to avoid struggle and conflict on a secular or forecastable horizon. What does this mean for investors? For one, the secular tailwinds behind defense stocks will persist. But what beyond that? Is the global economy destined to witness complete bifurcation into two armed camps separated by a Silicon Curtain? Will the Alibaba and Amazon Pacts suspiciously glare at each other the way that NATO and Warsaw Pacts did amidst the Cold War? The answer, tentatively, is no. … But It Will Not Lead To Economic Bifurcation President Trump’s aggressive trade policy also fits neatly into political theory, to a point. Realism in political science focuses on relative gains over absolute gains in all relationships, including trade. This is because trade leads to economic prosperity, prosperity to the accumulation of economic surplus, and economic surplus to military spending, research, and development. Two states that care only about relative gains due to rivalry produce a zero-sum game with no room for cooperation. It is a “Prisoner’s Dilemma” that can lead to sub-optimal economic outcomes in which both actors chose not to cooperate. Diagram II-1 illustrates the effects of relative gain calculations on the trade behavior of states. In the absence of geopolitics, demand (Q3) is satisfied via trade (Q3-Q0) due to the inability of domestic production (Q0) to meet it. Diagram II-1Trade War In A Bipolar World November 2019 November 2019 However, geopolitical externality – a rivalry with another state – raises the marginal social cost of imports – i.e. trade allows the rival to gain more out of trade and “catch up” in terms of geopolitical capabilities. The trading state therefore eliminates such externalities with a tariff (t), raising domestic output to Q1, while shrinking demand to Q2, thus reducing imports to merely Q2-Q1, a fraction of where they would be in a world where geopolitics do not matter. The dynamic of relative gains can also have a powerful pull on the hegemon as it begins to weaken and rethink its originally magnanimous trade relations. As political scientist Duncan Snidal argued in a 1991 paper, When the global system is first set up, the hegemon makes deals with smaller states. The hegemon is concerned more with absolute gains, smaller states are more concerned with relative, so they are tougher negotiators. Cooperative arrangements favoring smaller states contribute to relative hegemonic decline. As the unequal distribution of benefits in favor of smaller states helps them catch up to the hegemonic actor, it also lowers the relative gains weight they place on the hegemonic actor. At the same time, declining relative preponderance increases the hegemonic state’s concern for relative gains with other states, especially any rising challengers. The net result is increasing pressure from the largest actor to change the prevailing system to gain a greater share of cooperative benefits.11 History teaches us that trade occurs even amongst rivals and during wartime. The reason small states are initially more concerned with relative gains is because they are far more concerned with national security than the hegemon. The hegemon has a preponderance of power and is therefore more relaxed about its security needs. This explains why Presidents George Bush Sr., Bill Clinton, and George Bush Jr. all made “bad deals” with China. Writing nearly thirty years ago, Snidal cogently described the current U.S.-China trade war. Snidal thought he was describing a coming decade of anarchy. But he and fellow political scientists writing in the early 1990s underestimated American power. The “unipolar moment” of American supremacy was not over, it was just beginning! As such, the dynamic Snidal described took thirty years to come to fruition. When thinking about the transition away from U.S. hegemony, most investors anchor themselves to the Cold War as it is the only world they have known that was not unipolar. Moreover the Cold War provides a simple, bipolar distribution of power that is easy to model through game theory. If this is the world we are about to inhabit, with the U.S. and China dividing the whole planet into spheres like the U.S. and Soviet Union, then the paragraph we lifted from Snidal’s paper would be the end of it. America would abandon globalization in totality, impose a draconian Silicon Curtain around China, and coerce its allies to follow suit. But most of recent human history has been defined by a multipolar distribution of power between states, not a bipolar one. The term “cold war” is applicable to the U.S. and China in the sense that comparable military power may prevent them from fighting a full-blown “hot war.” But ultimately the U.S.-Soviet Cold War is a poor analogy for today’s world. In a multipolar world, Snidal concludes, “states that do not cooperate fall behind other relative gains maximizers that cooperate among themselves. This makes cooperation the best defense (as well as the best offense) when your rivals are cooperating in a multilateral relative gains world.” Snidal shows via formal modeling that as the number of players increases from two, relative-gains sensitivity drops sharply.12 The U.S.-China relationship does not occur in a vacuum — it is moderated by the global context. Today’s global context is one of multipolarity. Multipolarity refers to the distribution of geopolitical power, which is no longer dominated by one or two great powers (Chart II-4). Europe and Japan, for instance, have formidable economies and military capabilities. Russia remains a potent military power, even as India surpasses it in terms of overall geopolitical power. Chart II-4The World Is No Longer Bipolar The World Is No Longer Bipolar The World Is No Longer Bipolar A multipolar world is the least “ordered” and the most unstable of world systems (Chart II-5). This is for three reasons: Chart II-5Multipolarity Is Messy Multipolarity Is Messy Multipolarity Is Messy Math: Multipolarity engenders more potential “conflict dyads” that can lead to conflict. In a unipolar world, there is only one country that determines norms and rules of behavior. Conflict is possible, but only if the hegemon wishes it. In a bipolar world, conflict is possible, but it must align along the axis of the two dominant powers. In a multipolar world, alliances are constantly shifting and producing novel conflict dyads. Lack of coordination: Global coordination suffers in periods of multipolarity as there are more “veto players.” This is particularly problematic during times of stress, such as when an aggressive revisionist power uses force or when the world is faced with an economic crisis. Charles Kindleberger has argued that it was exactly such hegemonic instability that caused the Great Depression to descend into the Second World War in his seminal The World In Depression.13 Mistakes: In a unipolar and bipolar world, there are a very limited number of dice being rolled at once. As such, the odds of tragic mistakes are low and can be mitigated with complex formal relationships (such as U.S.-Soviet Mutually Assured Destruction, grounded in formal modeling of game theory). But in a multipolar world, something as random as an assassination of a dignitary can set in motion a global war. The multipolar system is far more dynamic and thus unpredictable. Diagram II-2 is modified for a multipolar world. Everything is the same, except that we highlight the trade lost to other great powers. The state considering using tariffs to lower the marginal social cost of trading with a rival must account for this “lost trade.” In the context of today’s trade war with China, this would be the sum of all European Airbuses and Brazilian soybeans sold to China in the place of American exports. For China, it would be the sum of all the machinery, electronics, and capital goods produced in the rest of Asia and shipped to the United States. Diagram II-2Trade War In A Multipolar World November 2019 November 2019 Could Washington ask its allies – Europe, Japan, South Korea, Taiwan, etc. – not to take advantage of the lucrative trade (Q3-Q0)-(Q2-Q1) lost due to its trade tiff with China? Sure, but empirical research shows that they would likely ignore such pleas for unity. Alliances produced by a bipolar system produce a statistically significant and large impact on bilateral trade flows, a relationship that weakens in a multipolar context. This is the conclusion of a 1993 paper by Joanne Gowa and Edward D. Mansfield.14 The authors draw their conclusion from an 80-year period beginning in 1905, which captures several decades of global multipolarity. Unless the U.S. produces a wholehearted diplomatic effort to tighten up its alliances and enforce trade sanctions – something hardly foreseeable under the current administration – the self-interest of U.S. allies will drive them to continue trading with China. The U.S. will not be able to exclude China from the global system; nor will China be able to achieve Xi Jinping’s vaunted “self-sufficiency.” A risk to our view is that we have misjudged the global system, just as political scientists writing in the early 1990s did. To that effect, we accept that Charts II-1 and II-4 do not really support a view that the world is in a balanced multipolar state. The U.S. clearly remains the most powerful country in the world. The problem is that it is also clearly in a relative decline and that its sphere of influence is global – and thus very expensive – whereas its rivals have merely regional ambitions (for the time being). As such, we concede that American hegemony could be reasserted relatively quickly, but it would require a significant calamity in one of the other poles of power. For instance, a breakdown in China’s internal stability alongside the recovery of U.S. political stability. Bottom Line: The trade war between the U.S. and China is geopolitically unsustainable. The only way it could continue is if the two states existed in a bipolar world where the rest of the states closely aligned themselves behind the two superpowers. We have a high conviction view that today’s world is – for the time being – multipolar. American allies will cheat and skirt around Washington’s demands that China be isolated. This is because the U.S. no longer has the preponderance of power that it enjoyed in the last decade of the twentieth and the first decade of the twenty-first century. Insights presented thus far come from formal theory in political science. What does history teach us? Trading With The Enemy In 1896, a bestselling pamphlet in the U.K., “Made in Germany,” painted an ominous picture: “A gigantic commercial State is arising to menace our prosperity, and contend with us for the trade of the world.”15 Look around your own houses, author E.E. Williams urged his readers. “The toys, and the dolls, and the fairy books which your children maltreat in the nursery are made in Germany: nay, the material of your favorite (patriotic) newspaper had the same birthplace as like as not.” Williams later wrote that tariffs were the answer and that they “would bring Germany to her knees, pleading for our clemency.”16 By the late 1890s, it was clear to the U.K. that Germany was its greatest national security threat. The Germany Navy Laws of 1898 and 1900 launched a massive naval buildup with the singular objective of liberating the German Empire from the geographic constraints of the Jutland Peninsula. By 1902, the First Lord of the Royal Navy pointed out that “the great new German navy is being carefully built up from the point of view of a war with us.”17 There is absolutely no doubt that Germany was the U.K.’s gravest national security threat. As a result, London signed in April 1904 a set of agreements with France that came to be known as Entente Cordiale. The entente was immediately tested by Germany in the 1905 First Moroccan Crisis, which only served to strengthen the alliance. Russia was brought into the pact in 1907, creating the Triple Entente. In hindsight, the alliance structure was obvious given Germany’s meteoric rise from unification in 1871. However, one should not underestimate the magnitude of these geopolitical events. For the U.K. and France to resolve centuries of differences and formalize an alliance in 1904 was a tectonic shift — one that they undertook against the grain of history, entrenched enmity, and ideology.18 Political scientists and historians have noted that geopolitical enmity rarely produces bifurcated economic relations exhibited during the Cold War. Both empirical research and formal modeling shows that trade occurs even amongst rivals and during wartime.19 This was certainly the case between the U.K. and Germany, whose trade steadily increased right up until the outbreak of World War One (Chart II-6). Could this be written off due to the U.K.’s ideological commitment to laissez-faire economics? Or perhaps London feared a move against its lightly defended colonies in case it became protectionist? These are fair arguments. However, they do not explain why Russia and France both saw ever-rising total trade with the German Empire during the same period (Chart II-7). Either all three states were led by incompetent policymakers who somehow did not see the war coming – unlikely given the empirical record – or they simply could not afford to lose out on the gains of trade with Germany to each other. Chart II-6The Allies Traded With Germany ... November 2019 November 2019 Chart II-7… Right Up To WWI November 2019 November 2019   Chart II-8Japan And U.S. Never Downshifted Trade November 2019 November 2019 A similar dynamic was afoot ahead of World War Two. Relations between the U.S. and Japan soured in the 1930s, with the Japanese invasion of Manchuria in 1931. In 1935, Japan withdrew from the 1922 Washington Naval Treaty – the bedrock of the Pacific balance of power – and began a massive naval buildup. In 1937, Japan invaded China. Despite a clear and present danger, the U.S. continued to trade with Japan right up until July 26, 1941, few days after Japan invaded southern Indochina (Chart II-8). On December 7, Japan attacked the U.S. A skeptic may argue that precisely because policymakers sleepwalked into war in the First and Second World Wars, they will not (or should not) make the same mistake this time around. First, we do not make policy prescriptions and therefore care not what should happen. Second, we are highly skeptical of the view that policymakers in the early and mid-twentieth century were somehow defective (as opposed to today’s enlightened leaders). Our constraints-based framework urges us to seek systemic reasons for the behavior of leaders. Political science provides a clear theoretical explanation for why London and Washington continued to trade with the enemy despite the clarity of the threat. The answer lies in the systemic nature of the constraint: a multipolar world reduces the sensitivity of policymakers to relative gains by introducing a collective action problem thanks to changing alliances and the difficulty of disciplining allies’ behavior. In the case of U.S. and China, this is further accentuated by President Trump’s strategy of skirting multilateral diplomacy and intense focus on mercantilist measures of power (i.e. obsession with the trade deficit). An anti-China trade policy that was accompanied by a magnanimous approach to trade relations with allies could have produced a “coalition of the willing” against Beijing. But after two years of tariffs and threats against the EU, Japan, and Canada, the Trump administration has already signaled to the rest of the world that old alliances and coordination avenues are up for revision. There are two outcomes that we can see emerging over the course of the next decade. First, U.S. leadership will become aware of the systemic constraints under which they operate, and trade with China will continue – albeit with limitations and variations. However, such trade will not reduce the geopolitical tensions, nor will it prevent a military conflict. In facts, the probability of military conflict may increase even as trade between China and the U.S. remains steady. Second, U.S. leadership will fail to correctly assess that they operate in a multipolar world and will give up the highlighted trade gains from Diagram II-2 to economic rivals such as Europe and Japan. Given our methodological adherence to constraint-based forecasting, we highly doubt that the latter scenario is likely. Bottom Line: The China-U.S. conflict is not a replay of the Cold War. Systemic pressures from global multipolarity will force the U.S. to continue to trade with China, with limitations on exchanges in emergent, dual-use technologies that China will nonetheless source from other technologically advanced countries. This will create a complicated but exciting world where geopolitics will cease to be seen as exogenous to investing. A risk to the sanguine conclusion is that the historical record is applicable to today, but that the hour is late, not early. It is already July 26, 1941 – when U.S. abrogated all trade with Japan – not 1930. As such, we do not have another decade of trade between U.S. and China remaining, we are at the end of the cycle. While this is a risk, it is unlikely. American policymakers would essentially have to be willing to risk a military conflict with China in order to take the trade war to the same level they did with Japan. It is an objective fact that China has meaningfully stepped up aggressive foreign policy in the region. But unlike Japan in 1941, China has not outright invaded any countries over the past decade. As such, the willingness of the public to support such a conflict is unclear, with only 21% of Americans considering China a top threat to the U.S. Investment Implications This analysis is not meant to be optimistic. First, the U.S. and China will continue to be rivals even if the economic relationship between them does not lead to global bifurcation. For one, China continues to be – much like Germany in the early twentieth century – concerned with access to external markets on which 19.5% of its economy still depend. China is therefore developing a modern navy and military not because it wants to dominate the rest of the world but because it wants to dominate its near abroad, much as the U.S. wanted to, beginning with the Monroe Doctrine. This will continue to lead to Chinese aggression in the South and East China Seas, raising the odds of a conflict with the U.S. Navy. Given that the Thucydides Trap narrative remains cogent, investors should look to overweight S&P 500 aerospace and defense stocks relative to global equity markets. An alternative way that one could play this thesis is by developing a basket of global defense stocks. Multipolarity may create constraints to trade protectionism, but it engenders geopolitical volatility and thus buoys defense spending. Second, we would not expect another uptick in globalization. Multipolarity may make it difficult for countries to completely close off trade with a rival, but globalization is built on more than just trade between rivals. Globalization requires a high level of coordination among great powers that is only possible under hegemonic conditions. Chart II-9 shows that the hegemony of the British and later American empires created a powerful tailwind for trade over the past two hundred years. Chart II-9The Apex Of Globalization Is Behind Us The Apex Of Globalization Is Behind Us The Apex Of Globalization Is Behind Us The Apex of Globalization has come and gone – it is all downhill from here. But this is not a binary view. Foreign trade will not go to zero. The U.S. and China will not completely seal each other’s sphere of influence behind a Silicon Curtain. Instead, we focus on five investment themes that flow from a world that is characterized by the three trends of multipolarity, Sino-U.S. geopolitical rivalry, and apex of globalization: Europe will profit: As the U.S. and China deepen their enmity, we expect some European companies to profit. There is some evidence that the investment community has already caught wind of this trend, with European equities modestly outperforming their U.S. counterparts whenever trade tensions flared up in 2019 (Chart II-10). Given our thesis, however, it is unlikely that the U.S. would completely lose market share in China to Europe. As such, we specifically focus on tech, where we expect the U.S. and China to ramp up non-tariff barriers to trade regardless of systemic pressures to continue to trade. A strategic long in the secularly beleaguered European tech companies relative to their U.S. counterparts may therefore make sense (Chart II-11). Chart II-10Europe: A Trade War Safe Haven Europe: A Trade War Safe Haven Europe: A Trade War Safe Haven Chart II-11Is Europe Really This Incompetent? Is Europe Really This Incompetent? Is Europe Really This Incompetent? USD bull market will end: A trade war is a very disruptive way to adjust one’s trade relationship. It opens one to retaliation and thus the kind of relative losses described in this analysis. As such, we expect that U.S. to eventually depreciate the USD, either by aggressively reversing 2018 tightening or by coercing its trade rivals to strengthen their currencies. Such a move will be yet another tailwind behind the diversification away from the USD as a reserve currency, a move that should benefit the euro. Bull market in capex: The re-wiring of global manufacturing chains will still take place. The bad news is that multinational corporations will have to dip into their profit margins to move their supply chains to adjust to the new geopolitical reality. The good news is that they will have to invest in manufacturing capex to accomplish the task. One way to articulate this theme is to buy an index of semiconductor capital companies (AMAT, LRCX, KLAC, MKSI, AEIS, BRIKS, and TER). Given the highly cyclical nature of capital companies, we would recommend an entry point once trade tensions subside and green shoots of global growth appear. “Non-aligned” markets will benefit: The last time the world was multipolar, great powers competed through imperialism. This time around, a same dynamic will develop as countries seek to replicate China’s “Belt and Road Initiative.” This is positive for frontier markets. A rush to provide them with exports and services will increase supply and thus lower costs, providing otherwise forgotten markets with a boon of investments. India, and Asia-ex-China more broadly, stand as intriguing alternatives to China, especially with the current administration aggressively reforming to take advantage of the rewiring of global manufacturing chains. Capital markets will remain globalized: With interest rates near zero in much of the developed world and the demographic burden putting an ever-greater pressure on pension plans to generate returns, the search for yield will continue to be a powerful drive that keeps capital markets globalized. Limitations are likely to grow, especially when it comes to cross-border private investments in dual-use technologies. But a completely bifurcation of capital markets is unlikely. The world we are describing is one where geopolitics will play an increasingly prominent role for global investors. It would be convenient if the world simply divided into two warring camps, leaving investors with neatly separated compartments that enabled them to go back to ignoring geopolitics. This is unlikely. Rather, the world will resemble the dynamic years at the end of the nineteenth century, a rough-and-tumble era that required a multi-disciplinary approach to investing. Marko Papic Consulting Editor, BCA Research Chief Strategist, Clocktower Group III. Indicators And Reference Charts The S&P 500 is making marginally new all-time highs. Seasonality is becoming very favorable for stock prices. However, our U.S. profit model continues to point south and expanding multiples have already driven this year’s equity gains. The S&P 500 has therefore already priced in a significant improvement in profits. Further P/E expansion will be harder to come by with bond yields set to rise. Thus, until the dollar falls and creates another tailwind for profits, stocks will not be as strong as seasonality suggests and will only make marginal new highs. Our Revealed Preference Indicator (RPI) remains cautious towards equities. The RPI combines the idea of market momentum with valuation and policy measures. It provides a powerful bullish signal if positive market momentum lines up with constructive readings from the policy and valuation measures. Conversely, if strong market momentum is not supported by valuations and policy, investors should lean against the market trend. Until global growth bottoms and boosts the earnings forecasts of our models, stock gains will stay limited. The outlook for next year remains constructive for stocks. Our Willingness-to-Pay (WTP) indicator for the U.S. continues to improve. This same indicator has recently turned lower in Japan. Meanwhile, it is deteriorating further in Europe. The WTP indicator tracks flows, and thus provides information on what investors are actually doing, as opposed to sentiment indexes that track how investors are feeling. Global yields have turned higher but they remain at exceptionally stimulating levels. Moreover, money and liquidity growth has picked up around the world, and global central banks continue to conduct very dovish policies. As a result, our Monetary Indicator remains at extremely elevated levels. Furthermore, our Composite Technical Indicator is still flashing a buy signal. Also, our BCA Composite Valuation index is still improving. As a result, our Speculation Indicator is back in the neutral zone. 10-year Treasury yields continue to rise, but they remain very expensive. Moreover, both our Bond Valuation Index and our Composite Technical Indicators are still flashing high-conviction sell signals. If the strengthening of the Commodity Index Advance/Decline line results in higher natural resource prices, then, inflation breakevens will also climb meaningfully. Therefore, the current setup argues for a below-benchmark duration in fixed-income portfolios. Weak global growth has been the key support for the dollar in recent months. On a PPP basis, the U.S. dollar remains extremely expensive. Additionally, our Composite Technical Indicator has lost momentum and has formed a negative divergence with the Greenback’s level. Moreover, the U.S. current account deficit has begun to widen anew. This backdrop makes the dollar highly vulnerable to a rebound in global growth. In fact, a breakdown in the greenback will be the clearest signal yet that global growth is rebounding for good. EQUITIES: Chart III-1U.S. Equity Indicators U.S. Equity Indicators U.S. Equity Indicators Chart III-2Willingness To Pay For Risk Willingness To Pay For Risk Willingness To Pay For Risk Chart III-3U.S. Equity Sentiment Indicators U.S. Equity Sentiment Indicators U.S. Equity Sentiment Indicators   Chart III-4Revealed Preference Indicator Revealed Preference Indicator Revealed Preference Indicator Chart III-5U.S. Stock Market Valuation U.S. Stock Market Valuation U.S. Stock Market Valuation Chart III-6U.S. Earnings U.S. Earnings U.S. Earnings Chart III-7Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Chart III-8Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance   FIXED INCOME: Chart III-9U.S. Treasurys And Valuations U.S. Treasurys And Valuations U.S. Treasurys And Valuations Chart III-10Yield Curve Slopes Yield Curve Slopes Yield Curve Slopes Chart III-11Selected U.S. Bond Yields Selected U.S. Bond Yields Selected U.S. Bond Yields Chart III-1210-Year Treasury Yield Components 10-Year Treasury Yield Components 10-Year Treasury Yield Components Chart III-13U.S. Corporate Bonds And Health Monitor U.S. Corporate Bonds And Health Monitor U.S. Corporate Bonds And Health Monitor Chart III-14Global Bonds: Developed Markets Global Bonds: Developed Markets Global Bonds: Developed Markets Chart III-15Global Bonds: Emerging Markets Global Bonds: Emerging Markets Global Bonds: Emerging Markets   CURRENCIES: Chart III-16U.S. Dollar And PPP U.S. Dollar And PPP U.S. Dollar And PPP Chart III-17U.S. Dollar And Indicator U.S. Dollar And Indicator U.S. Dollar And Indicator Chart III-18U.S. Dollar Fundamentals U.S. Dollar Fundamentals U.S. Dollar Fundamentals Chart III-19Japanese Yen Technicals Japanese Yen Technicals Japanese Yen Technicals Chart III-20Euro Technicals Euro Technicals Euro Technicals Chart III-21Euro/Yen Technicals Euro/Yen Technicals Euro/Yen Technicals Chart III-23Euro/Pound Technicals Euro/Pound Technicals Euro/Pound Technicals   COMMODITIES: Chart III-23Broad Commodity Indicators Broad Commodity Indicators Broad Commodity Indicators Chart III-24Commodity Prices Commodity Prices Commodity Prices Chart III-25Commodity Prices Commodity Prices Commodity Prices Chart III-26Commodity Sentiment Commodity Sentiment Commodity Sentiment Chart III-27Speculative Positioning Speculative Positioning Speculative Positioning   ECONOMY: Chart III-28U.S. And Global Macro Backdrop U.S. And Global Macro Backdrop U.S. And Global Macro Backdrop Chart III-29U.S. Macro Snapshot U.S. Macro Snapshot U.S. Macro Snapshot Chart III-30U.S. Growth Outlook U.S. Growth Outlook U.S. Growth Outlook Chart III-31U.S. Cyclical Spending U.S. Cyclical Spending U.S. Cyclical Spending Chart III-32U.S. Labor Market U.S. Labor Market U.S. Labor Market Chart III-33U.S. Consumption U.S. Consumption U.S. Consumption Chart III-34U.S. Housing U.S. Housing U.S. Housing Chart III-35U.S. Debt And Deleveraging U.S. Debt And Deleveraging U.S. Debt And Deleveraging   Chart III-36U.S. Financial Conditions U.S. Financial Conditions U.S. Financial Conditions Chart III-37Global Economic Snapshot: Europe Global Economic Snapshot: Europe Global Economic Snapshot: Europe Chart III-38Global Economic Snapshot: China Global Economic Snapshot: China Global Economic Snapshot: China   Mathieu Savary Vice President The Bank Credit Analyst Footnotes 1   Please see The Bank Credit Analyst "September 2019," dated August 29, 2019, available at bca.bcaresearch.com 2   Please see The Bank Credit Analyst "June 2019," dated May 30, 2019, available at bca.bcaresearch.com 3   Please see The Bank Credit Analyst "August 2019," dated July 25, 2019, available at bca.bcaresearch.com 4   Please see U.S. Equity Strategy Special Report "Peak Margins," dated October 7, 2019, available at uses.bcaresearch.com 5   Please see U.S. Equity Strategy Weekly Report "Follow The Profit Trail," dated October 15, 2019, available at uses.bcaresearch.com 6   Please see Foreign  Exchange Strategy Weekly Report "On Money Velocity, EUR/USD And Silver," dated October 11, 2019, available on fes.bcaresearch.com 7   Please see BCA Research Geopolitical Strategy, “Power And Politics In East Asia: Cold War 2.0?,” September 25, 2012, “Sino-American Conflict: More Likely Than You Think,” October 4, 2013, “The Great Risk Rotation,” December 11, 2013, and “Strategic Outlook 2014 – Stay The Course: EM Risk – DM Reward,” January 23, 2014, “Underestimating Sino-American Tensions,” November 6, 2015, “The Geopolitics Of Trump,” December 2, 2016, “How To Play The Proxy Battles In Asia,” March 1, 2017, and others available at gps.bcaresearch.com or upon request. 8   Please see German Historical Institute, “Bernhard von Bulow on Germany’s ‘Place in the Sun’” (1897), available at http://germanhistorydocs.ghi-dc.org/ 9   See Graham Allison, Destined For War: Can America and China Escape Thucydides’s Trap? (New York: Houghton Miffin Harcourt, 2017).  10  The three cases are Spain taking over from Portugal in the sixteenth century, the U.S. taking over from the U.K. in the twentieth century, and Germany rising to regional hegemony in Europe in the twenty-first century. 11   Duncan Snidal, “Relative Gains and the Pattern of International Cooperation,” The American Political Science Review, 85:3 (September 1991), pp. 701-726. 12   We do not review Snidal’s excellent game theory formal modeling in this paper as it is complex and detailed. However, we highly encourage the intrigued reader to pursue the study on their own.  13   See Charles P. Kindleberger, The World In Depression, 1929-1939 (Berkeley: University of California Press, 2013). 14   Joanne Gowa and Edward D. Mansfield, “Power Politics and International Trade,” The American Political Science Review, 87:2 (June 1993), pp. 408-420. 15   See Ernest Edwin Williams, Made in Germany (reprint, Ithaca: Cornell University Press), available at https://archive.org/details/cu31924031247830. 16   Quoted in Margaret MacMillan, The War That Ended Peace (Toronto: Allen Lane, 2014). 17   Peter Liberman, “Trading with the Enemy: Security and Relative Economic Gains,” international Security, 21:1 (Summer 1996), pp. 147-175. 18  Although France and Russia overcame even greater bitterness due to the ideological differences between a republic founded on a violent uprising against its aristocracy – France – and an aristocratic authoritarian regime – Russia.  19  See James Morrow, “When Do ‘Relative Gains’ Impede Trade?” The Journal of Conflict Resolution, 41:1 (February 1997), pp. 12-37; and Jack S. Levy and Katherine Barbieri, “Trading With the Enemy During Wartime,” Security Studies, 13:3 (December 2004), pp. 1-47.
Highlights In this report, we build and present models designed to predict the odds of Chinese investable equity sector outperformance, based on a set of macroeconomic and equity market factors. BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to help investors to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. Among the top six factors explaining historical periods of sector performance, three were macroeconomic in orientation, and two were directly related to the broad Chinese equity market. We see this as strongly supportive of the potential returns to be earned from active top-down sector rotation within China’s investable market. Cyclical stocks are very depressed relative to defensives, and we would favor them versus defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. Feature In our June 19 Special Report, we reviewed the predictability and cyclicality of equity sector earnings in China's investable & domestic markets, and examined the relevance of earnings in predicting relative sector performance over the past decade. We noted that a few sectors scored highly in terms of earnings predictability and the relevance of those earnings in predicting relative performance. But we also highlighted that most of China's equity sectors, in both the investable and domestic markets, either demonstrated earnings trends that were difficult to predict based on the trend in overall market earnings or exhibited relative performance that was difficult to explain based on the relative earnings profile. Our models are designed to predict equity sector relative performance using a series of macroeconomic and equity market factors. In short, our June report underscored that China’s equity sectors warranted a closer examination, with a particular emphasis on understanding the specific macroeconomic or equity market factors that have historically predicted relative sector performance. Today’s report examines this question in depth, focused on China’s investable equity market. We hope to extend our research to the A-share market in the near future. Our approach focuses on constructing and presenting models that quantify a checklist-based approach to determining the odds of equity sector performance. The aim is to use these models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use them as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We conclude by highlighting the substantial underperformance of cyclical vs defensives sectors over the past two years, and argue that it is highly unlikely that cyclicals will underperform defensives over the coming 12 months if China strikes a trade deal with the US and the economy incrementally improves, as we expect. We also explain the importance of monitoring the relative performance of health care & utilities stocks over the coming few months, and present a unique sector-based barometer for gauging China’s reflationary stance. The latter two relative performance trends are likely to assist investors in positioning for the big call: the outperformance of Chinese investable stocks vs the global benchmark. Detailing Our Approach In our effort to better understand historical periods of sector outperformance, we have chosen to model the probability of outperformance of each level 1 GICS sector (plus banks) based on a set of macro and equity market variables. Specifically, we use an analytical tool called a logistic regression, which forecasts the probability of a discrete event rather than forecasting the value of a dependent variable. We utilized this approach when building our earnings recession model for China (first presented in our January 16 Special Report1), and investors will often see it (in its conceptually different but practically similar probit form) employed when analyzing the likelihood of an economic recession. The New York Fed’s US recession model is a notable example of the latter,2 which has received much attention by market participants over the past year following the inversion of the US yield curve. The “events” that we modeled are historical periods of individual Chinese investable sector outperformance from 2010 to 2018, relative to the MSCI China index (the “broad market”). Charts I-1A and I-1B illustrate these periods with shading in each panel. We then attempt to explain these episodes of outperformance with the following macro predictors: Chart I-1AThis Report Builds Models Aimed At... This Report Builds Models Aimed At... This Report Builds Models Aimed At... Chart I-1B...Predicting The Shaded Regions Of These Charts ...Predicting The Shaded Regions Of These Charts ...Predicting The Shaded Regions Of These Charts Periods of accelerating economic activity, represented by our BCA's China Activity Index Periods of rising leading indicators of economic activity, represented by our BCA Li Keqiang Leading Indicator Episodes of tight monetary policy, defined as periods where China’s 3-month interbank repo rate is rising Periods of accelerating inflation, measured both by headline and core inflation We also include several equity market variables: uptrends in relative sector earnings, periods of rising broad market stock prices, uptrends in broad market earnings, and episodes of extreme technical conditions and relative over/undervaluation for the sector in question. In the case of energy stocks, we also include oil prices as a predictor. Charts I-2A and I-2B illustrate these periods as well as the macro & market variables that we have included as predictors. Chart I-2AWe Use These Macroeconomic And Equity Market Factors... We Use These Macroeconomic And Equity Market Factors... We Use These Macroeconomic And Equity Market Factors... Chart I-2B...To Predict Periods Of Equity Sector Outperformance ...To Predict Periods Of Equity Sector Outperformance ...To Predict Periods Of Equity Sector Outperformance Our approach also accounts for the existence of any leading or lagging relationships between the macro and market variables we have used as predictors and sector relative performance. In most cases the predictors lead relative sector performance, but in some cases it is the opposite. In the case of the latter, we have limited the lead of any variable in our models to 3 months in order to reduce the need to forecast. The link between tight monetary policy and industrial sector performance is one exception to this rule that we detail below. Finally, our approach also limits the extent to which we consider a leading relationship between our predictors and relative sector performance, in order to avoid picking up overlapping economic cycles. This issue, and the evidence supporting the existence of a 3½-year credit cycle in China, are detailed in Box 1. Box 1 Accounting For China’s 3½-Year Credit Cycle Over the course of the analysis detailed in this report, judgments concerning how much of a lead or lag to allow when accounting for any leading or lagging relationships between sector relative performance and either macroeconomic & stock market predictors were necessary. In cases where sector relative performance led any of our predictors, we capped the lead at 3-months to reduce the need to forecast the predictors when using the models. As explained below, the 8-month lead between industrial sector relative performance and tight monetary policy was the only exception to this rule. We also did not include any leading relationship between relative sector stock performance and the trend in relative sector EPS, and allowed at most a co-incident relationship. Limits were also required in the cases where our predictors led relative sector performance. While more lead time is usually better from the perspective of investment strategy, Chart I-B1 presents strong evidence of a 3½ -year credit cycle in China. Chart I-B2 illustrates the problem with including significant lags between predictors and relative sector performance when economic cycles are short. The chart shows the lead/lag correlation profile of the stylized cycle shown in Chart I-B1, and highlights that lags greater than 12-14 months risk picking up the impact of the previous economic cycle. Given this, we have limited the extent to which our predictors can lead relative sector performance in our models, and in practice lead times are generally less than one year. Chart I-B1Over The Past Decade, China Has Experienced A 3½-Year Credit Cycle A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Chart I-B2With Short Cycles, Excessive Lags Risk Picking Up The Previous Cycle With Short Cycles, Excessive Lags Risk Picking Up The Previous Cycle With Short Cycles, Excessive Lags Risk Picking Up The Previous Cycle The Key Drivers Of Chinese Investable Equity Sectors Pages 12-23 present the results of each sector’s outperformance probability model, along with a list of factors that were found to be useful predictors and a summary of the results. The importance of the factors included in the models is shown in each of the tables at the top right of pages 12-23 by a score of 1-3 stars, (loosely representing key levels of statistical significance) as well as each factor’s optimal lead or lag. A minus sign shows that the predictor leads sector relative performance, whereas a plus sign shows that it lags. Rising core inflation in China is the most important signal of sector performance that emerged from our analysis. Chart I-3China’s Sectors Linked Strongly To Core Inflation, Monetary Policy, And Growth A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Chart I-3 summarizes the significance of the factors in predicting sector performance in general, by summing up each predictor’s number of stars across all of the models. The chart shows that rising core inflation in China is the most important signal of sector performance that emerged from our analysis, followed by tight monetary policy, rising economic activity, rising broad market stock prices, oversold technical conditions, and rising broad market earnings. Chart I-3 highlights two important points: If regarded through the lens of causality alone, the strong relationship between rising core inflation and sector performance is somewhat surprising: normally, pricing power is subordinate to revenue/sales/demand as the primary factor driving fundamental performance. However, given that inflation is a lagging economic variable, we suspect that the significance of inflation in our models actually reflects the middle phase of the economic cycle in which sectors tend to best exhibit meaningful out/underperformance. It is also a stronger predictor of periods of tight monetary policy in China than headline inflation.3 This is an encouraging result for investors, as it suggests good odds that future episodes of meaningful sector outperformance can be identified given a particular macro view. Among the top six factors explaining historical periods of sector performance, three were macroeconomic in orientation, and two were directly related to the broad Chinese equity market. While Chinese equity sector performance can sometimes be idiosyncratic, we see this as strongly supportive of the idea that investors can earn positive excess returns by actively shifting between China’s equity sectors using a top-down approach. Turning to the specific results of our sector models, we present the following big-picture findings of our research: Defining China’s Cyclical & Defensive Sectors From a top-down perspective, the most important element of sector rotation typically involves shifting from defensive to cyclical stocks when economic activity is set to improve (and vice versa). In China, it is clear from the results of our models that the investable energy, materials, industrials, consumer discretionary, and information technology sectors are cyclical sectors. The relative performance of these sectors exhibits a positive relationship to pro-cyclical macro variables, or broad market trends. Following last year’s GICS changes, we also include the media & entertainment industry group (within the new communication services sector) in this list. Correspondingly, investable consumer staples, health care, financials, telecom services, utilities, and real estate are defensive sectors in China. Chart I-4Cyclical Stocks Are Bombed Out Versus Defensives Cyclical Stocks Are Bombed Out Versus Defensives Cyclical Stocks Are Bombed Out Versus Defensives Chart I-4 illustrates how these sectors have performed over the past decade by grouping them into equally-weighted cyclical and defensive stock price indexes, as well as the relative performance of cyclicals versus defensives. The chart makes it clear that cyclical stock performance is essentially as weak as it has ever been relative to defensives over the past decade, with the exception of a brief period in 2013. Panel 2 highlights that all of the underperformance of cyclicals over the past two years has been due to de-rating, rather than due to underperforming earnings. The Atypical Case Of Financials & Real Estate The fact that financial and real estate stocks are defensive in China is somewhat curious. In the case of financials, the abnormality is straightforward: most global equity portfolio managers would consider financials to be cyclical, and our work suggests that this is not true for the investable market. Our explanation for this apparent discrepancy is also straightforward: while small and medium banks in China have obviously grown in prominence over the past decade, large state-owned or state-affiliated commercial banks are still dominant in the provision of credit to China's old economy. In most cases China’s large banks lend to state-owned enterprises with implicit government guarantees, meaning that the earnings risk for Chinese banks has typically been lower than for the investable market in the aggregate. It remains to be seen whether this will remain true in a world where Chinese policymakers are keen to slow the pace at which China’s macro leverage ratio rises and to render the existing stock of debt more sustainable for the non-financial sector. Indeed, over a multi-year time horizon, the risk are not trivial that banks will be forced to recapitalize as a result of forced changes to loan terms (eg: significant increases in the amortization period of existing loans) or the recognition of sizeable loan losses, which would clearly increase the cyclicality of the Chinese investable financial sector. Chart I-5A Seeming Contradiction: Real Estate Is High-Beta, But Defensive A Seeming Contradiction: Real Estate Is High-Beta, But Defensive A Seeming Contradiction: Real Estate Is High-Beta, But Defensive On the real estate front, the anomaly is not that real estate stocks respond defensively to macroeconomic and stock market variables, it is that real estate stock prices are considerably more volatile than this defensive characterization would suggest. Globally (and especially in the US), real estate stocks are often viewed as bond proxies and thus are typically low-beta, but Chart I-5 shows that this is not the case in China. In our view, this issue is reconciled by the fact that Chinese investable real estate stocks are also highly positively linked to Chinese house price appreciation, with relative performance typically leading a pickup in house prices by up to 1 year. This strongly leading relationship has meant that real estate stocks have often outperformed the broad market as economic activity is slowing, in anticipation that policy easing will lead to an eventual recovery in house prices. Chart I-6Still Following The Defensive Playbook This Year Still Following The Defensive Playbook This Year Still Following The Defensive Playbook This Year In effect, investable real estate stocks are a high-beta sector that have acted counter-cyclically due to the historical interplay between economic activity, monetary policy, and the housing market. Real estate performance this year has not deviated from this playbook (Chart I-6), and so for now we are content to include real estate stocks in our defensive index. But similar to the case of financials, we can conceive of scenarios in which ongoing Chinese financial sector reform may change this relationship in the future. The Unique Monetary Policy Sensitivity Of Industrials And Consumer Staples Pages 14 and 16 highlight that industrials and consumer staples stocks have typically been sensitive to periods of tight monetary policy. In the case of industrials the relationship is negative, whereas consumer staples relative performance has been positively linked to these periods. In both cases, relative performance has led periods of tight monetary policy, significantly so in the case of industrials (by an average of 8 months). While the relative performance of banks, tech, and real estate stocks have also been linked to periods of tight monetary policy, industrials and consumer staples are the only sectors that have tended to lead these periods. Chart I-7Diverging Corporate Health Explains Industrials/Staples Monetary Policy Sensitivity Diverging Corporate Health Explains Industrials/Staples Monetary Policy Sensitivity Diverging Corporate Health Explains Industrials/Staples Monetary Policy Sensitivity This is a revelatory finding, and in our view it is explained by divergences in corporate health and leverage for the two sectors. We reviewed Chinese corporate health in our August 28 Special Report,4 and noted that the food & beverage sub-industry was a clear (positive) outlier based on our corporate health monitors. In particular, Chart I-7 highlights that food & beverage corporate health is markedly better than that for machinery companies or for industrial firms in general, supporting the notion that high (low) leverage is impacting the relative performance of industrials (consumer staples). The Leading Nature Of Health Care & Utilities Health care and utilities exhibit similar key drivers of relative performance: in both cases, periods of rising economic activity, rising core inflation, and rising broad market stock prices are all negatively associated with performance. Health care and utilities relative performance also happens to lead all three of those predictors, by 1-3 months on average depending on the variable in question. Our modeling work highlights that these are the only sectors whose relative performance has led multiple factors, suggesting that health care & utilities stocks are particularly interesting market bellwethers to monitor. Core Inflation Matters More Than Headline, Except For Energy & Real Estate As highlighted in Chart I-3, rising core inflation has been a much more important signal about relative sector performance than headline inflation. Chart I-8In China, Food Prices (Not Energy) Account For Headline/Core Differences In China, Food Prices (Not Energy) Account For Headline/Core Differences In China, Food Prices (Not Energy) Account For Headline/Core Differences The two exceptions to this rule relate to the energy and real estate sectors, with the former positively linked to headline inflation and the latter negatively linked. In both cases, we suspect that the relationship is a behavioral rather than a fundamental one. For energy, while rising headline inflation in developed countries is usually associated with rising energy prices, this is not true in the case of China. Chart I-8 highlights that differences between headline and core inflation over the past decade have almost always been driven by rising food prices. This implies that some investors (incorrectly) view energy stocks as a hedge against increases in consumer prices, even if those increases are not driven by rising fuel costs. In the case of real estate, investor expectations of eroding real disposable income and its impact on the housing market are likely the best explanation for the negative link between real estate relative performance and rising headline inflation. Whereas rising core inflation likely reflects a durable improvement in economic momentum (and thus would be positively correlated with income growth), episodes of rising Chinese headline inflation often reflect supply shocks that investors may perceive to be detrimental to household spending power (and thus expected housing demand). Investment Conclusions Our work aimed at explaining historical periods of Chinese investable sector outperformance has three investment implications in the current environment. Cyclicals will probably outperform defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. First, within China’s investable market, Chart I-4 illustrated that cyclical stocks are very depressed relative to defensives. Given our view that Chinese investable stocks are likely to outperform their global peers over a 6-12 month time horizon, we would also favor cyclicals to defensives over that period. For investors who are not yet overweight cyclical stocks in China, we would advise waiting for concrete signs that growth has bottomed (which should emerge sometime in Q1) before putting on a long position as we remain tactically neutral towards Chinese versus global stocks. But the key point is that it is highly unlikely that cyclicals will underperform defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. Second, the fact that investable health care and utilities stocks have particularly leading properties suggests that they should be monitored closely over the coming few months. A technical breakdown in the relative performance of these sectors would be an important sign that market participants are anticipating a bottoming in China’s economy, which may give investors a green light to position for a bullish cyclical stance. For now, both of these sectors continue to outperform (Chart I-9), supporting our decision to remain tactically neutral towards Chinese stocks. Third, the heightened negative sensitivity of industrials and positive sensitivity of consumer staples to monetary policy suggests that the relative performance trend between the two sectors may serve as a reflationary barometer for China’s economy. Chart I-10 shows that industrials outperformed staples last year once the PBOC shifted into easing mode, and anticipated the recovery in the pace of credit growth. However, industrials soon began to underperform staples, which also seems to have anticipated the fact that the recovery in credit was set to be less powerful than what has occurred during previous cycles. The fact that the relative performance trend is off its recent low is notable, and may suggest that China’s existing reflationary stance will be sufficient to stabilize economic activity if a trade deal with the US is indeed finalized in the near future. Chart I-9Key Defensive Sectors Are Still Outperforming, Supporting Our Neutral Tactical Stance Key Defensive Sectors Are Still Outperforming, Supporting Our Neutral Tactical Stance Key Defensive Sectors Are Still Outperforming, Supporting Our Neutral Tactical Stance Chart I-10Industrials Vs. Staples Anticipated That Easing Would Only Be Measured Industrials Vs. Staples Anticipated That Easing Would Only Be Measured Industrials Vs. Staples Anticipated That Easing Would Only Be Measured As a final point, BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use the models as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We hope you will find these models to be a helpful quantification of the risk versus return prospects of allocating among China’s investable sectors. As always, we welcome any feedback that you may have about our approach.   Energy Chart II-1 Energy Energy Table II-1 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance   Unsurprisingly, our energy sector model highlights that periods of energy outperformance are strongly linked to periods of rising crude oil prices. However, what is surprising is that periods of accelerating headline inflation in China are even more closely linked to periods of energy sector outperformance than episodes of rising oil prices, and that these periods of accelerating inflation are not generally caused by rising energy prices. The lack of a clear economic rationale for this relationship implies that some investors (incorrectly) view energy stocks as a hedge against increases in consumer prices, even if those increases are largely driven by rising food prices. The model also highlights that periods of strong undervaluation have historically been significant in predicting future energy sector outperformance, with a lag of roughly 8 months. The probability of energy sector outperformance has fallen sharply according to our model, but for now we continue to recommend a long absolute energy sector position on a 6-12 month time horizon. BCA’s Commodity & Energy Strategy service expects oil prices to trade at $70/barrel on average next year,5 Chinese headline inflation continues to rise, and we noted in our October 2 Weekly Report that energy stocks are heavily discounted.6 Barring a durable decline in oil prices below $55/barrel, investors should continue to favor China’s energy sector. Materials Chart II-2 Materials Materials Table II-2 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model highlights that the materials sector is one of the clearest plays on accelerating industrial activity within the investable universe. Among the macro variables that we tested, periods of investable materials outperformance are strongly positively linked with periods when our BCA Activity Index and our leading indicator for the index have been rising. Periods of materials sector outperformance have also been positively correlated with prior periods of oversold technical conditions and rising broad market stock prices, underscoring that materials are a strongly pro-cyclical sector. We currently maintain no active relative sector trades, but our model suggests that investors should be underweight the investable materials sector relative to the broad investable index. Industrials Chart II-3 Industrials Industrials Table II-3 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Periods of industrial sector outperformance have historically been positively correlated with relative industrial sector earnings, broad market stock prices, and prior oversold technical conditions. They have been negatively correlated with periods of tight monetary policy, rising core inflation, and prior overbought technical conditions. Since 2010, periods of industrial sector performance have led periods of tight monetary policy by 8 months, the longest lead of relative equity performance to any macro variable that we tested in our model (and the longest lead that we allowed). Industrial sector performance has also been strongly negatively linked with periods of rising core inflation. These findings, and the fact that our Activity Index and its leading indicator have not been highly successful at predicting periods of industrial sector outperformance, strongly suggest that industrials, while pro-cyclical, are primarily driven by expectations of easy monetary policy. We noted in an August 2018 Special Report that state-owned enterprises have become substantially leveraged over the past decade,7 and in a more recent report we highlighted that industries such as machinery have experienced a significant deterioration in corporate health over the past decade.8 This helps explain why industrial sector performance is so negatively impacted by tight policy. Our model suggests that the best time to be overweight industrial stocks is the early phase of an economic rebound, when Chinese stock prices are rising but market participants are not yet expecting tighter policy. These conditions may present themselves sometime in Q1, but probably not over the coming 0-3 months. Consumer Discretionary Ex-Internet & Direct Marketing Retail Chart II-4 Consumer Discretionary Ex-Internet & Direct Marketing Retail Consumer Discretionary Ex-Internet & Direct Marketing Retail Table II-4 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Besides materials, China’s investable consumer discretionary sector has historically been the most positively associated with coincident and leading measures of industrial activity. Rising core inflation is also highly positively related to consumer discretionary outperformance, which may reflect improved pricing power for the sector. The strong link with industrial activity is in contrast to depictions of China’s consumer sector as being less correlated to money & credit trends than the overall economy, and is supportive of our view that industrial activity forms one of the three pillars of China’s business cycle.9 We ended the estimation period of our model as of December 2018, in order to avoid including the distortive effects of last year’s changes to the global industry classification standard (which resulted in Alibaba’s inclusion and overwhelming representation in the investable consumer discretionary sector). As such, the results of our model apply today to consumer discretionary stocks ex-internet & direct marketing retail. For now, the absence of an uptrend in our Activity Index and in core inflation is signaling underperformance of discretionary stocks outside of internet & direct marketing retail. Outperformance this year largely reflects a significant advance in consumer durable and apparel: by contrast, automobiles & components have underperformed the broad market by roughly 14% year-to-date. Consumer Staples Chart II-5 Consumer Staples Consumer Staples Table II-5 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Historically, periods of consumer staples outperformance have been predicted by a falling Activity Index, periods of tight monetary policy, and over/undervalued conditions. The impact of monetary policy is particularly heavy in the model, suggesting that consumer staples are somewhat the mirror image of industrials in terms of the impact of leverage on relative equity performance. This too is supported by our August 28 Special Report,10 which noted that corporate health for the food & beverage sector was the strongest among the sectors we examined. However, the model failed to capture what has been very significant staples outperformance this year, highlighting the occasional limits of a rule-of-thumb approach to sector allocation. Investable consumer staples are reliably low-beta compared with the broad market, and we are not surprised that investors have strongly favored the sector this year amid enormous economic and policy uncertainty. An eventual improvement in economic activity, coupled with fairly rich valuation, should work against consumer staples stocks sometime in the first quarter of 2020. Investors who are positioned in favor of China-related assets should also be watching closely for any signs of a technical breakdown in the relative performance trend of investable staples. Health Care Chart II-6 Health Care Health Care Table II-6 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Among the macro variables tested in our model, periods of health care outperformance are negatively related to coincident and leading measures of industrial activity and strongly negatively related to rising core inflation.  Health care outperformance is also strongly negatively related to periods of rising broad market stock prices, and positively related to prior oversold technical conditions. These results clearly signify that investable health care is a defensive sector, to be owned when the economy is slowing and when investable stocks in general are trending lower. Our model suggests that health care stocks are likely to continue to outperform, as they have been since the beginning of the year. A substantive US/China trade deal that meaningfully reduces economic uncertainty remains the key risk to health care outperformance over a 6- to 12-month time horizon. Financials Chart II-7 Financials Financials Table II-7 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model highlights that periods of financial sector outperformance over the past decade have been negatively associated with periods of rising core inflation (a strong relationship), and with periods of rising index earnings. Oversold technical conditions have also helped explain future episodes of financial sector outperformance. The link between core inflation and the outperformance of financials appears to represent a behavioral rather than a fundamental relationship. When modeling periods of rising financial sector relative earnings, the trend in broad market EPS is more predictive than that of core inflation, highlighting that the latter’s explanatory power is due to investor behavior. The results of our model, and the fact that core inflation leads Chinese index earnings, suggests that financials are fundamentally counter-cyclical and that investors see rising Chinese core inflation as confirmation that an economic expansion is underway (and that broad market earnings are likely to rise). Our model is currently predicting financial sector outperformance, but investable financials have modestly underperformed since the beginning of the year. This appears to have been caused by the underperformance of financial sector earnings this year as overall index earnings growth has decelerated, contrary to what history would suggest. We suspect that the ongoing shadow banking crackdown is related to financial sector earnings underperformance, and we would advise against an overweight stance towards investable financials until signs of improving relative earnings emerge. Banks Chart II-8 Banks Banks Table II-8 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model shows that periods of banking sector outperformance are more linked to macro variables than has been the case for the overall financial sector. Specifically, bank performance is negatively correlated with leading indicators of economic activity and rising core inflation, and especially negatively correlated with periods of tight monetary policy. Banks have also typically outperformed following periods of oversold technical conditions. Similar to financials, bank earnings are typically counter-cyclical, but relative bank earnings have not been good predictors of relative bank performance over the past decade. Still, the negative association of relative stock prices with leading economic indicators, rising core inflation and rising interest rates underscores that investors should normally be underweight banks if they expect overall Chinese stock prices to rise. Also similar to the overall financial sector, our model is currently predicting outperformance for bank stocks, but investable banks have underperformed year-to-date. The shadow banking crackdown is also likely impacting investable bank earnings, leading to a similar recommendation to avoid bank stocks until relative earnings look to be trending higher. “Tech+”   Chart II-9 Tech+' Tech+' Table II-9 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our technology model has worked well at predicting periods of tech sector outperformance over the past several years, particularly from 2015 – 2017. The model suggests that, in addition to being negatively related to prior overbought conditions, periods of technology sector outperformance are associated with improving growth conditions, easy monetary policy, and rising prices. In other words, tech stocks are a growth & liquidity play. Owing to last year’s changes to the GICS, the results of our model apply today to Chinese investable internet & direct marketing retail, the media & entertainment industry group (within the new communication services sector), and the now considerably smaller information technology sector (the sum of which could be considered the “tech+” sector). The model has been predicting tech sector outperformance since May (in response to easier monetary policy), which has occurred for the official information technology sector. However, the BAT (Baidu, Alibaba, and Tencent) stocks are only up fractionally in relative terms from their late-May low. Our expectation that China’s economy is likely to bottom in Q1 means that we may recommend upgrading “tech+” stocks relative to the investable benchmark in the coming months. Telecom Services Chart II-10 Telecom Services Telecom Services Table II-10 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model for telecommunication services (now a level 2 industry group within the communication services sector) illustrates that telecom stocks have historically been counter-cyclical. Periods of telecom outperformance have been negatively associated with periods of rising core inflation, rising broad market stock prices, and rising broad market EPS. It is notable that telecom services stocks are driven more by cycles in overall stock prices than by cycles in economic activity. This suggests that investors tend to focus on the fact that telecom stocks are reliably low-beta compared with the overall investable market, causing out(under)performance of telecoms when the broad market is falling(rising). Similar to financials & banks, telecom stocks have not outperformed this year, in contrast to what our model would suggest. Earnings also appear to be the culprit, with the level of 12-month trailing earnings having fallen nearly 10% since the summer. China Mobile accounts for a sizeable portion of the telecom services index, and the company’s recent earnings weakness seems to be due to depreciation charges stemming from forced investment on 5G spending (mandated by the Chinese government). Our sense is that this will have only a temporary effect on telecom services EPS, meaning that investors should continue to expect the sector to behave in a counter-cyclical fashion over the coming year. Utilities Chart II-11 Utilities Utilities Table II-11 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance The early performance of our utilities model was mixed, as it generated several false sell signals during the 2011 – 2013 period despite recommending, on average, an overweight stance. However, over the past five years, the model has performed extremely well in terms of explaining periods of relative utilities performance. The model highlights that utilities are straightforwardly counter-cyclical. The relative performance of utilities stocks is positively related to its relative earnings trend, and negatively related to economic activity, rising core inflation, and broad market stock prices.  Consistent with a decline in the overall MSCI China index, the model has correctly predicted utilities outperformance this year. We expect utilities to underperform over a 6-12 month time horizon, but would advise against an aggressive underweight position until hard evidence of a bottom in Chinese economic activity emerges. Real Estate Chart II-12 Real Estate Real Estate Table II-12 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model for the relative performance of investable real estate has been among the most successful of those detailed in this report, which is somewhat surprising given the macro factors that the model shows drive real estate performance. While periods of relative real estate performance are modestly (negatively) associated with periods of tight monetary policy, rising headline inflation is the most important macro predictor of real estate underperformance. Among market factors driving performance, real estate stocks reliably underperform when broad market EPS are trending higher, and they historically outperform for a time after becoming relatively undervalued. Real estate relative performance is also strongly linked to periods of rising house prices, but the former tends to significantly lead the latter. Given that core inflation has better predicted episodes of tight monetary policy than headline inflation, investor expectations of eroding real disposable income is likely the best explanation for the negative link between real estate relative performance and rising headline inflation. Whereas rising core inflation likely reflects a durable improvement in economic momentum (and thus would be positively correlated with income growth), episodes of rising Chinese headline inflation often reflect supply shocks that investors may perceive to be detrimental to household spending power (and thus expected housing demand). Beyond the negative link between higher inflation and interest rates on investable real estate performance, the strong negative association with broad market earnings underscores that investors treat real estate as a defensive sector. We thus expect real estate stocks to continue to outperform in the near term, but underperform over a 6-12 month time horizon.   Jonathan LaBerge, CFA Vice President jonathanl@bcaresearch.com   Footnotes 1. Please see China Investment Strategy, "Six Questions About Chinese Stocks," dated January 16, 2019. 2. Please see Federal Reserve Bank of New York, The Yield Curve as a Leading Indicator at https://www.newyorkfed.org/research/capital_markets/ycfaq.html 3. This is despite frequent concerns among investors that the PBOC is inclined to tighten in response to detrimental supply shocks. 4. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. 5. Please see Commodity & Energy Strategy, "Policy Uncertainty Lifts USD, Stifles Global Oil Demand Growth," dated October 17, 2019. 6. Please see China Investment Strategy, "China Macro & Market Review," dated October 2, 2019. 7. Please see China Investment Strategy, "Chinese Policymakers: Facing A Trade-Off Between Growth And Leveraging," dated August 29, 2018. 8. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. 9. Please see China Investment Strategy, "The Three Pillars Of China’s Economy," dated May 16, 2018. 10. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. Cyclical Investment Stance Equity Sector Recommendations
At present, economic policy uncertainty overwhelms the other variables that typically explain gold prices. Those other factors include: Demand for inflation hedges (which includes U.S. core inflation, commodity prices and U.S. unit labor costs), monetary and…
Highlights Rising recession risk, shaky economic fundamentals, and absence of positive yielding assets motivate us to reexamine which assets can be counted on to protect a portfolio in the future. We analyze 10 safe havens on four different dimensions: consistency, versatility, efficiency, and costs. Using this framework, we examine the historical performance of each safe haven and provide an outlook on their likely effectiveness over the next decade. We conclude that U.S. TIPS and farmland should provide the best portfolio protection. Cash, U.S. Treasuries and gold are other good alternatives. Meanwhile, U.S. investment-grade bonds, global ex-U.S. bonds, silver, and currency futures are likely to be poor protection choices. Feature For most investors, capital preservation is the most important goal when managing money. However, how to go about it remains a difficult question.  Investing in safe havens can be painful during bull markets, as their returns are usually lower than those of equities. Moreover, economic, political, and financial regimes change over time, which means that an asset that protected your portfolio in the past might not do so in the future. Therefore, it becomes good practice to review one’s safety measures periodically, even if one does not think that a crash is imminent. The current environment in particular, is a propitious time to review safe havens given that: Chart I-1A Great Time To Review Safety Measures A Great Time To Review Safety Measures A Great Time To Review Safety Measures A key recession signal is flashing red: The yield curve inverted in the United States in August (Chart I-1 – top panel). An inversion of the yield curve does not necessarily imply a recession, but historically it has been a very reliable signal of one, given that it indicates that monetary policy is too tight for the economy. Structural risks are rising: Rich equity valuations in the U.S. and high leverage levels elsewhere are signs that the pillars supporting this bull market might be fragile (Chart I-1 – middle panel). In addition, protectionism and populism, forces that BCA has long argued are here to stay, threaten to upend the regime of free trade that has benefited equities since the 1950s.1 Yields are near all-time lows: Historically, investors have been able to endure bear markets by hiding in safe assets with positive yield, as these assets will normally provide a reliable cash flow regardless of the economic situation. However, these type of assets are increasingly hard to find, particularly in the government bond space, where 50% of developed country bonds have negative yields (Chart I-1 – bottom panel). Considering these factors, how should investors protect their portfolios in the next decade? To answer this question, we analyze 10 safe havens divided into five broad asset classes: Nominal government bonds: U.S. Treasuries and global ex-U.S. government bonds. Other fixed income: U.S. investment-grade credit and U.S. TIPS.2 Currencies: yen futures and Swiss franc futures. Precious metals: gold futures and silver futures. Other assets: farmland and U.S. cash. We look at historical performance since 1973 for all safe havens except for global ex-U.S. bonds and farmland. For these assets, we look at performance since 1991 due to limited data availability. We mainly look at quarterly returns in order to compare illiquid assets to publicly traded ones. We do not consider each safe haven in isolation, but rather as an addition to equities within a portfolio. Specifically, we explore our safe haven universe relative to the MSCI All Country World equity index from the perspective of a U.S. investor. For our non-U.S. clients, we will release a report from the perspective of other countries if there is sufficient interest. Importantly, we do not look only at historical performance. We also examine whether there is a reason to believe that future returns will be different from past ones, by analyzing how the properties of each safe haven might have changed. When evaluating each safe haven, we focus on four properties: Consistency: a safe haven should generate consistent positive returns during periods of negative equity performance, with returns increasing with the severity of the equity drawdown. Versatility: safe havens should perform well across different types of crises. Efficiency: a safe haven should produce enough upside during crises, so only a small allocation to the safe haven is necessary to reduce losses. Costs: drag to portfolio overall performance (opportunity costs) should be as small as possible. Readers who wish to see just our overall conclusions should read our Summary Of Results section below. For our analysis of how safe havens have performed in the past, please see the Historical Performance section. Finally, for our analysis of how we expect the performance of safe havens to change, please see our Outlook section. Summary Of Results The Best Safe Havens U.S. TIPS should be an excellent safe haven to protect a portfolio in the next decade. While TIPS might not be as cheap to hold as they have been in the past, upside potential remains strong, which means that a moderate allocation can provide substantial protection to an equity portfolio. Moreover, U.S. TIPS are one of the best hedges against crises triggered by rising rates and inflation, which in our view are the biggest structural risks that asset allocators face. Farmland could also be a great safe haven for investors who have the ability to allocate to illiquid assets given that it is the cheapest safe haven in terms of portfolio drag. However, investors should be aware that the current low yield could potentially affect its performance during crises. Good Alternatives Cash can be a good alternative to protect an equity portfolio, given its outstanding performance during equity drawdowns caused by inflation. Moreover, its opportunity costs should decrease relative to the past. However, investors should take into account that the efficiency of cash at the current juncture is poor, which means that a relatively large allocation is needed in order to achieve meaningful portfolio protection. A portfolio with a 30% allocation to Treasuries historically provided the same downside protection as a portfolio with a 44% allocation to gold. We also like gold futures as a safe haven since they offer some of the most attractive opportunity costs. In addition, their upside is greater than that of most safe havens due to their negative correlations with real rates. However, gold’s volatility makes it an unreliable asset, which prevents us from placing it higher in the safe haven hierarchy. Historically, U.S. Treasuries have been one of the best safe havens to hedge an equity portfolio. Will this performance continue in the future? We do not think so. While yields are still high enough to provide plenty of upside potential, they have fallen to the point where they have increased the opportunity costs of U.S. Treasuries and reduced their consistency. The Rest Global ex-U.S. bonds have very limited upside due to their low yields. Meanwhile U.S. investment-grade credit remains at risk from poor corporate balance sheets, compounded by the fact that credit no longer has an attractive yield cushion. Currencies like the yen and the Swiss franc will continue to be unreliable and very expensive safe havens. Finally, while silver’s costs and reliability could improve, its high cyclicality relative to other safe havens will make silver a poor protection choice. Historical performance Consistency How did safe havens perform when equities lost money? To assess consistency, we plot the performance of each safe haven during all quarters when global equities had losses (Chart I-2). Cash and farmland were the only assets to have positive returns during every equity drawdown. U.S. Treasuries and U.S. TIPS were also very consistent, and had the additional advantage that their returns tended to increase as equity losses worsened. Global ex-U.S. bonds, while not as consistent, generated positive returns most of the time. Chart I-2Safe Haven Returns During Drawdowns In Global Equities Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s On the other hand, investment-grade bonds, the yen, the Swiss franc, gold, and silver were much more inconsistent. In general, even though these assets had larger positive returns than other assets, they were prone to deep selloffs concurrent with equity drawdowns. Silver was the worst of all safe havens, being mostly a negative return asset during quarters of negative equity performance. Versatility How did the type of crisis affect the performance of safe havens? We classify crises according to their catalyst into the following four categories: bursts of U.S. asset bubbles (tech bubble, 2008 housing crisis), ex-U.S. crises (1998 EM crisis, European debt crisis), flash crashes/political events (1987 Black Monday, 9/11 terrorist attack),  rate/inflation shocks (1974 oil crisis, 1980 Fed shock) and others (every other equity drawdown we could not classify).3  We look at the performance of seven safe havens since 1973 (Chart I-3A) and of all 10 since 19914 (Chart I-3B): Chart I-3ASafe Haven Return During Different Type Of Crisis (1973 - Present) Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s Chart I-3BSafe Haven Return During Different Type Of Crisis (1991 - Present) Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s   During bursts of U.S. asset bubbles, U.S. Treasuries were the most effective hedge in both sample periods, followed by U.S. TIPS and farmland. Corporate bonds, cash, gold, and the Swiss franc also had positive returns, though they were small. Finally, the yen and silver had negative returns. During crises happening outside of the U.S., U.S. Treasuries were once again the best option. U.S. TIPS, yen futures, farmland, gold, and U.S. investment-grade bonds also provided strong returns.  Meanwhile, global ex-U.S. bonds and cash provided relatively weak returns, while both the Swiss franc and silver accrued losses. During flash crashes/political events, the Swiss franc had the best performance followed by global ex-U.S. bonds, though in general all safe havens but silver provided positive returns. Rate/inflation shocks were the most difficult type of crisis to hedge. Cash and U.S. TIPS were by far the best performers. Moreover, while U.S. Treasuries were able to eke out a small positive return, all other safe havens lost money during these crises. Efficiency How much allocation to each safe haven was needed to protect an equity portfolio? Chart I-4 show how adding incremental amounts of each safe haven5 to an equity portfolio reduced the overall portfolio’s 10% conditional VaR (the average of the bottom decile of returns).6 Since 1973, U.S. TIPS and U.S. nominal government bonds were the most efficient safe havens, providing the most protection per unit of allocation (Chart I-4 – top panel). Conditional VaR was reduced by almost half when allocating 40% to either Treasuries or TIPS. Cash, U.S. investment-grade, the yen, the Swiss franc, gold, and silver followed in that order. The difference between the safe havens was significant. As an example, a portfolio with a 30% allocation to U.S. Treasuries historically provided the same downside protection as a portfolio with a 36% allocation to U.S. IG credit, a 39% allocation to the yen or a 44% allocation to gold. Meanwhile, there was no allocation to silver which would have provided the same level of protection. When using a sample from 1991, the main difference was the reduced efficiency of cash – the result of lower average interest rates when using a more recent sample. Other than cash, the efficiency of most safe havens remained unchanged: U.S. Treasuries were the best option, followed by U.S. TIPS, farmland, U.S. investment-grade bonds, global ex-U.S. government bonds, cash, the yen, gold, the Swiss franc, and silver in that order (Chart I-4 – bottom panel). Chart I-4Historically, Fixed-Income Assets Were The Most Efficient Safe Havens Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s Costs How do safe haven returns compare to equities? To evaluate opportunity costs, we compare the difference of the historical return of each safe haven versus global equities. Overall, hedging with currencies was extremely costly, as their return was well below that of equities in both samples (Chart I-5). Cash was also an expensive safe haven to hedge with, particularly in the most recent sample. On the other hand, fixed-income assets like U.S Treasuries, investment-grade credit, and U.S. TIPS had very low costs (global ex-U.S. bonds also had cost of around 2% in a limited sample).  Farmland had negative opportunity costs because it outperformed equities during the sample period.7 Chart I-5Historically Fixed Income Assets And Farmland Had The Lowest Opportunity Cost Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s Outlook Chart I-6No More Yield Cushion Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s Chart I-7Silver Has Become Less Cyclical Silver Has Become Less Cyclical Silver Has Become Less Cyclical For our outlook, we assess how the four traits under study have changed for all safe havens: Consistency: Will safe havens continue to be reliable in the absence of high coupons? Many of the safe havens in our sample were effective at hedging equities due to their high yield. Even if they had negative capital appreciation, total returns stayed positive thanks to the offsetting effect of the yield return. However, as rates have declined, yield return has also decreased substantially (Chart I-6). Therefore, safe havens, like cash, government bonds, and even farmland will not be as consistent as they were in the past. Credit could be even more vulnerable: the combination of a low yield, and unhealthy fundamentals will turn U.S. corporate bonds into a negative-return asset in the next crisis. Silver might be the lone safe haven to improve its consistency. Industrial use for silver has fallen substantially in the past 10 years, decreasing its cyclical nature (Chart I-7). Thus, while silver might still be an erratic safe haven, it should be more consistent in the future than its historical performance would suggest.   Versatility: What will the next crisis look like? Chart I-8Inflation and Political Crisis Will Plague The 2020s Inflation and Political Crisis Will Plague The 2020s Inflation and Political Crisis Will Plague The 2020s Determining what the next crisis will look like is crucial for safe haven selection. Below we rank the types of crises in order of how likely and severe we think they will be in the future: Inflation/rate shock: We expect inflation to be significantly higher over the next decade. This will be the highest risk for asset allocators in the future. As we explained in our May 2019 report, a change in monetary policy framework, procyclical fiscal policy, waning Fed independence, declining globalization, and demographic forces are all conspiring to lift inflation in the next decade.8 Importantly, we believe that the Fed will be dovish initially, as it cannot let inflation continue to underperform its target after missing the mark for the last 10 years (Chart I-8 – top panel). However, this will cause an inflationary cycle, which will eventually lead the Fed to raise rates significantly and trigger a recession. Political events/flash crashes: Political events will also pose a risk to the markets on a structural basis. The rise of China as a superpower has shifted the world into a paradigm of multipolarity, which historically has resulted in military conflict. Moreover, animus for conflict is not dependent on President Trump. The American public in general feels that the economic relationship with China is detrimental to the United States (Chart I-8 – bottom panel). This means that any president, Democrat or Republican will have a political incentive to jostle with China for economic and political supremacy for years to come. Ex-U.S. crises: We expect Emerging Markets in general, and China in particular, to be among the most vulnerable parts of the global economy as we enter the next decade. Over the last 10 years, China’s money supply has increased four-fold, becoming larger than the money supply of the U.S. and the euro area combined. In addition, corporate debt as a % of GDP stands at 155%, higher than Japan at the peak of its bubble and higher than any country in recorded history (Chart I-9). We rank this type of crisis slightly below the first two because Emerging Market assets are depressed already. Thus, while we believe that there is further downside to come for these economies, some weakness has already been priced in. U.S. asset bubble burst: We believe that there are no systemic excesses in the U.S. economy, making a U.S. asset bubble burst a lesser risk than other types of crises. Although it is true that U.S. corporate debt stands at all-time highs, it is still at a much lower level than in other countries. Moreover, weakness of corporate credit is not likely to have systemic consequences on the economy, given that leveraged institutions like banks and households hold only a small amount of outstanding corporate debt (Chart I-10). Chart I-9EM crises Are Also A Risk EM crises Are Also A Risk EM crises Are Also A Risk Chart I-10A U.S. Corporate Debt Deblacle Will Not Have Systemic Consequences A U.S. Corporate Debt Deblacle Will Not Have Systemic Consequences A U.S. Corporate Debt Deblacle Will Not Have Systemic Consequences What does this ranking mean in terms of safe haven performance? U.S. TIPS and cash should be held in high regard as they will be some of the only assets that will perform well during an inflation/rate shock. The Swiss franc and global ex-U.S. bonds should be best performers during political crises, although U.S. TIPS could also provide adequate protection. Efficiency: Is there any upside left for safe havens when interest rates are near zero? As yields go below the zero bound it becomes harder for bonds to generate large positive returns. European or Japanese government bonds in particular would need their yields to go deep into negative territory to counteract a large selloff in equities (Table I-1). But can interest rates go that low? We do not think so. The recent auction of German bunds, where a 0%-yielding 30-year bond attracted the weakest demand since 2011, suggests that interest rates in these countries might be close to their lower bound.  On the other hand, though U.S. yields are low, they are still high enough for U.S. Treasuries to provide high returns in case of a crisis. Table I-1No Room For Positive Returns In The Government Bond Space Outside Of The U.S. Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s Low rates also have an effect on the efficiency of U.S. investment-grade bonds, cash, and farmland because their upside during crises does not come from capital appreciation but rather from their yield, (the price of IG credit actually declines during most crisis). As mentioned earlier, their yield has declined substantially compared to the past, which means that a larger allocation will be necessary to counteract a selloff. Chart I-11Switzerland Has A High Incentive To Prevent The Franc From Appreciating Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s The upside of the yen could also be compromised. The Bank of Japan is likely to intervene aggressively in the currency market to prevent the Japanese economy from falling into a deflationary spiral, since it is very difficult for it to lower Japanese rates further. The Swiss franc is even more vulnerable. In contrast to Japan, Switzerland is a small open economy that has to import most of its products (Chart I-11). This means that the Swiss National Bank has a very high incentive to intervene in currency markets during a crisis, given that a rally in the franc could depress inflation severely. What about U.S. TIPS? In contrast to nominal government bond yields or even yields on corporate debt, U.S. real rates are not limited by the zero bound (Chart I-12).  This makes TIPS a more attractive option than other fixed-income assets, since real rates can have much more room for further downside than nominal ones. To be clear, this will only be the case if our forecast of an inflationary crisis materializes. Likewise, since gold is heavily influenced by real rates, it should also offer significant upside during the next crisis.9 Chart I-12Real Rates Have More Downside Potential Than Nominal Ones Real Rates Have More Downside Potential Than Nominal Ones Real Rates Have More Downside Potential Than Nominal Ones Costs: Can I afford to hold safe havens in a world of low returns? To provide an outlook for the expected cost of each safe haven, we use the return assumptions from our June Special Report.10 We subtract the expected return on global equities from the expected return for each safe haven to reach an expected cost value. However, three of the safe havens (global ex-U.S. government bonds, the Swiss franc and silver) did not have a return estimate. We compute their expected returns as follows: For the Swiss franc we use the methodology we used for all other currencies in our report. We base the expected return on the current divergence from the IMF PPP value, as well as the IMF inflation estimates. In addition, we add the relative cash rate assumed return for both our yen and Swiss franc estimates, as futures take into account carry return. For global ex-U.S. bonds we take the weighted average of the expected return of the euro area, Japan, U.K., Canada, and Australia government bonds. We weight the returns according to their market capitalization in the Bloomberg/Barclays government bond index. Due to silver’s dual role as an inflation hedge and industrial metal, silver prices are a function of both gold prices and global growth. To obtain a return estimate we run a regression on silver against these two variables and use our growth and gold return estimate to arrive at an assumed return for silver. Chart I-13 shows our results: while their cost will improve, currency futures remain the most expensive hedge. The opportunity cost of precious metals and cash will decrease, making them more attractive options than in the past. Meanwhile, low yields will increase the opportunity costs of most fixed-income assets. Finally, farmland will remain the cheapest safe haven, even with decreased performance. Chart I-13Oportunity Cost For Fixed Income Safe Havens Will Be Higher Than In The Past Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s Juan Manuel Correa Ossa Senior Analyst juanc@bcaresearch.com Appendix A Safe Haven Review: A Guide To Portfolio Protection In The 2020s Safe Haven Review: A Guide To Portfolio Protection In The 2020s Footnotes 1 Please see Geopolitical Strategy Special Report, "The Apex Of Globalization – All Downhill From Here, " dated November 12, 2014, available at gps.bcaresearch.com. 2 We use a synthetic TIPS series for data prior to 1997. For details on the methodology, please see: Kothari, S.P. and Shanken, Jay A., “Asset Allocation with Inflation-Protected Bonds,” Financial Analysts Journal, Vol. 60, No. 1, pp. 54-70, January/February 2004. 3 For a detailed list of how we classified each equity drawdown, please see Appendix A. 4 The only crises caused by a rate/inflation shock occurred in 1974 and 1980. Thus we have this type of drawdown only in Chart 3A and not in Chart 3B. 5 For yen, Swiss franc, silver and gold futures we assume an allocation to an ETF which follows their performance. Since futures have zero initial costs they cannot be directly compared to traditional assets in terms of percentage allocation. 6 We prefer this measure over VaR given that it captures the properties of the left tail of returns more accurately. 7  While the farmland index subtracts management fees, we recognize that there are costs involved in holding these illiquid assets which are not necessarily captured by the return indices. Thus, the real historical cost of holding farmland was not negative but likely close to zero. 8 Please see Global Asset Allocation Strategy Special Report "Investors’ Guide To Inflation Hedging: How To Invest When Inflation Rises," dated May 22, 2019, available at gaa.bcaresearch.com. 9 Please see Commodity & Energy Strategy Special Report "All that Glitters…And Then Some" dated July 25, 2019, available at ces.bcaresearch.com. 10 Please see Global Asset Allocation Strategy Special Report "Return Assumptions - Refreshed and Refined" dated June 25, 2019,  
The once-reliable negative correlation between gold and the USD was indefinitely suspended beginning in 4Q18 by the pervasive economic uncertainty we identified last week as the culprit holding back global oil demand growth via a super-charged dollar.1 This uncertainty is most pronounced in the U.S. and Europe vis-à-vis gold, and partly explains the performance of safe havens, particularly the USD, which has soared to new heights on a trade-weighted goods basis, and gold (Chart of the Week). So far, gold has held its ground after breaking above $1,500/oz from the low $1,200s in mid-2018, indicating investors are much more concerned about economic risks arising from economic policy uncertainty than inflation and other diversifiable risks gold typically hedges (Charts 2A, 2B). Cyclically we remain positive on gold prices on the back of a lower dollar and rising inflation pressure in the U.S. Chart of the WeekDemand For Safe Havens Soars As Economic Policy Uncertainty Rises Demand For Safe Havens Soars As Economic Policy Uncertainty Rises Demand For Safe Havens Soars As Economic Policy Uncertainty Rises Economic policy uncertainty in Europe and the U.S. supports gold prices. Even so, we are putting a $1,450/oz stop-loss on our long gold portfolio hedge to cover tactical risks showing up in our technical indicators. In addition, as is the case with oil demand, if the ceasefire we are expecting in the Sino-U.S. trade war materializes in 1H20 and limited trade – mostly in ags and energy – is forthcoming, demand for safe-haven assets could weaken gold prices at the margin. Fiscal and monetary stimulus globally also could revive economic growth and commodity demand, pushing global yields higher, which would put negative pressure on gold at the margin, as well, given the high correlation between real rates and gold prices. Chart 2AU.S., Euro Economic Uncertainty Correlated With Gold Prices U.S., Euro Economic Uncertainty Correlated With Gold Prices U.S., Euro Economic Uncertainty Correlated With Gold Prices Chart 2BU.S., Euro Economic Uncertainty Correlated With Gold Prices U.S., Euro Economic Uncertainty Correlated With Gold Prices U.S., Euro Economic Uncertainty Correlated With Gold Prices Highlights · Energy: Overweight. Saudi Arabia and Kuwait are on the verge of signing an historic pact to restart production from the Neutral Zone. Kuwait expects to sign the pact within 30 to 45 days. Potential production from the jointly operated fields – Khafji and Wafra – is estimated at ~ 500k b/d. Ramping up production at the Wafra field could take up to 6 months. Importantly, both countries are expected to respect their production quota mandated under the OPEC 2.0 agreement expiring in 1Q20.2 Separately, Chevron’s waiver to operate in Venezuela was extended for three months from the Trump administration this week. · Base Metals: Neutral. Chile copper production was up 1% and 11% y/y in July and August, according to the World Bureau of Metal Statistics. Earlier this week, the Union of workers at Chile’s Escondida copper mine – the world’s largest – held a strike in support of broader protests sparked by the increase of metro fare last Friday. Chile’s President suspended the fare hike on Saturday, but the protests are still ongoing and have now caused 15 deaths.3 · Precious Metals: Neutral. The gold/silver ratio fell 9% since July 2019. Our tactical long spot silver recommendation is up 3% since inception in August 2019, and our strategic long gold position is up 21%. Cyclically, we remain positive on both silver and gold prices, more on this below. A tactical pullback is possible; money managers have started liquidating some of their long gold positions, dropping by 67k contracts from September levels, according to CFTC data. · Ags/Softs: Underweight. According to USDA data, corn and soybean harvest are 30% and 46% complete, lagging behind their respective 47% and 64% five-year average pace. For corn, the USDA rates 54% of the U.S. crop good or excellent, vs. 66% a year earlier. For beans, 56% of the crop is rated good or excellent, vs. 68% last year. Separately, China announced waivers allowing up to 10mm MT of U.S. soybeans to be imported by domestic and international crushing concerns. The waivers are in place until March 2020. Feature The once-reliable negative correlation between gold and the USD will remain muted over the short-term tactical horizon – 3 to 6 months – as economic policy uncertainty continues to stoke global demand for safe havens.4 The once-reliable negative correlation between gold and the USD will remain muted over the short-term. This can be seen in the elevated correlations between the USD’s broad trade-weighted goods index with the Baker-Bloom-Davis (BBD) Economic Policy Uncertainty (EPU) indexes for the U.S. and Europe (Chart 3).5 Rising economic uncertainty – particularly since 4Q18 – has created a rare environment in which both the USD and gold trended up simultaneously and continue to move in the same direction. The implication of this is that gold’s correlation with both the USD and EPU is weaker than before because economic policy uncertainty now is positively correlated with the dollar. Chart 3Strong USD, EPU Correlation Strong USD, EPU Correlation Strong USD, EPU Correlation Chart 4Correlation of Daily Gold, USD Returns Also Moving Sharply Higher Correlation of Daily Gold, USD Returns Also Moving Sharply Higher Correlation of Daily Gold, USD Returns Also Moving Sharply Higher There is a possibility global policy uncertainty could be reduced later this year if the U.S. and China can agree on a trade ceasefire... The typically negative correlation between daily returns of gold and the USD also is weakening, moving toward positive territory (Chart 4), as both the USD and gold trend higher simultaneously (Chart 5).   Chart 5Gold and USD Levels Trending Higher Gold and USD Levels Trending Higher Gold and USD Levels Trending Higher ...If this occurs, the risk premium supporting gold will ease, and markets will once again turn their attention to possible inflationary consequences of the global stimulus. Our short-term technical indicator is signaling an overbought gold market (Chart 6), and our fair-value model indicates gold should be trading ~ $1,450/oz (Chart 7). The latter signal off our fair-value model is less concerning, given the demand for safe-haven assets like the USD and gold now dominates gold’s typical drivers. Chart 6Gold Technical Indicators Signal Overbought Market Gold Technical Indicators Signal Overbought Market Gold Technical Indicators Signal Overbought Market Chart 7High USD Correlation Throws Off Fair-Value Model High USD Correlation Throws Off Fair-Value Model High USD Correlation Throws Off Fair-Value Model However, to be on the safe side, we are placing a $1,450/oz stop-loss on our long-term gold position, which as of Tuesday’s close was up 21% since inception on May 14, 2017. This is a precautionary measure, which recognizes the possibility global policy uncertainty could be reduced later this year if the U.S. and China can agree on a trade ceasefire, and global fiscal and monetary policy are successful in reviving EM income growth, which would revive commodity demand generally, pushing up global bond yields. If this occurs, the risk premium supporting gold will ease, and markets will once again turn their attention to possible inflationary consequences of the global stimulus. During that period, the monetary and fiscal aggregates we track as explanatory variables for gold prices will reassert themselves as the dominant drivers of gold prices (see below). This could produce tension between a falling USD and rising real rates as growth picks up, which would send us to a risk-neutral setting re gold, given the current high correlation between gold and real rates, which should remain strong until the Fed starts hiking rates again, most likely in 2020 (Chart 8). This is part of the reason we are including the stop-loss at $1,450/oz for our existing gold position: During this risky period going into 1H20 economic uncertainty could dissipate, and real rates could rise. Although the USD depreciation would mute these effects, rising real rates would be a risk to gold prices Chart 8Rising Real Rates Could Weaken Gold Prices Rising Real Rates Could Weaken Gold Prices Rising Real Rates Could Weaken Gold Prices Economic Uncertainty Dominates Gold’s Fundamentals At present, economic policy uncertainty overwhelms the other factors we typically use as explanatory variables when modeling gold prices. In Table 1, we collect the variables we consider when assessing gold’s fair value. At present, economic policy uncertainty overwhelms the other factors we typically use as explanatory variables when modeling gold prices. This variable broadly falls in the geopolitical risk we regularly account for in our analysis of gold markets. Table 1Fundamental And Technical Gold-Price Drivers Global Economic Policy Uncertainty Lifts Gold And USD Together Global Economic Policy Uncertainty Lifts Gold And USD Together If the uncertainty captured by the EPU indexes is resolved, we would expect the dollar to fall and the negative gold-USD correlation to reassert itself and strengthen. Checking off each of these groups, we see: · Demand for inflation hedges remaining muted over the short-term, as inflationary pressures remain weak. In line with our House view, however, we do expect inflation could move higher toward the end of next year and overshoot the Fed’s 2% target for the U.S. This would support gold prices. · Monetary and financial aggregates are working less well as explanatory variables for gold prices in a market dominated by economic policy uncertainty. The USD-gold correlation continues to be disrupted by strong demand for safe-haven assets. As inflation picks up next year, we expect nominal bond yields to rise. Real rates, however, could remain subdued, as long as the Fed is not aggressively raising rates to get out ahead of a possible revival of inflation (Chart 9). Later in 2020, the correlation between rates and gold should be supportive for gold prices – the correlation fades when the Fed tightens, which creates a demand for safe-haven assets like gold. All the same, an increase in real rates would be a risk to gold prices in 1H20. · At present, demand for portfolio-diversification assets via safe-haven assets is a powerful force in gold’s price evolution. It is worthwhile pointing out, however, that if global economic uncertainty is resolved and global growth does rebound, recession fears will diminish, thus reducing the marginal impact of geopolitical shocks. On the other hand, if the uncertainty captured by the EPU indexes is resolved, we would expect the dollar to fall and the negative gold-USD correlation to reassert itself and strengthen. Should that happen, short-term volatility in gold will rise (Chart 10). Chart 9Bond Yields Should Rise As Inflation Revives In 2H20 Bond Yields Should Rise As Inflation Revives In 2H20 Bond Yields Should Rise As Inflation Revives In 2H20 Chart 10Investors Expect Large Positive Moves In Gold And Silver Prices Investors Expect Large Positive Moves In Gold And Silver Prices Investors Expect Large Positive Moves In Gold And Silver Prices Investment Implications As India’s and China’s economic growth picks up, we expect income to grow, which would support physical gold demand in EM countries. Over a tactical horizon – i.e., 3 to 6 months – we expect global economic policy uncertainty to remain elevated. Going into 2020 – and particularly in 2H20 – we expect the USD to weaken on the back of global monetary accommodation policies and increased fiscal stimulus. We also are expecting a ceasefire in the Sino-U.S. trade war, which will revive trade somewhat and support EM income growth and commodity demand. These assumptions, which we’ve laid out in previous research, will be bullish cyclical factors supporting commodities generally. Bottom Line: A ceasefire in the Sino-U.S. trade war, coupled with global fiscal and monetary stimulus, will reduce some of the economic uncertainty dogging aggregate demand. This should be apparent in the data in 1H20. As a result, we continue to expect rising EM income growth to be cyclically bullish for commodities generally. This will allow inflation to revive – again, assuming the Fed does not become aggressive in raising rates. Chart 11EM Income Growth Will Support Demand For Gold EM Income Growth Will Support Demand For Gold EM Income Growth Will Support Demand For Gold Net, this will be bullish for gold: As India’s and China’s economic growth picks up, we expect income to grow, which would support physical gold demand in EM countries (Chart 11).   Robert P. Ryan Chief Commodity & Energy Strategist rryan@bcaresearch.com Hugo Bélanger Senior Analyst Commodity & Energy Strategy HugoB@bcaresearch.com   Footnotes 1               Please see our report entitled “Policy Uncertainty Lifts USD, Stifles Global Oil Demand Growth,” published October 17, 2019. It is available at ces.bcaresearch.com. 2              Please see “Kuwait Sees Neutral Zone Oil Pact With Saudis Within 45 Days,” published by Bloomberg.com on October 19, 2019. 3              Please see “Chile lawmakers call for social reforms as protests mount,”  published by reuters.com on October 22, 2019. 4              We expect a ceasefire in the Sino-US trade war to be announced in 1H20, which will defuse – but not eliminate – an important risk for global growth in our analytical framework.  We expect this will allow the relationship between the USD and gold to move back to its previous equilibrium in 1Q20 or 2Q20. 5              For more info on the Baker-Bloom-Davis index, please see policyuncertainty.com   Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades TRADE RECOMMENDATION PERFORMANCE IN 2019 Q3 Global Economic Policy Uncertainty Lifts Gold And USD Together Global Economic Policy Uncertainty Lifts Gold And USD Together Commodity Prices and Plays Reference Table Trades Closed in 2019 Summary Of Trades Closed In 2018 Global Economic Policy Uncertainty Lifts Gold And USD Together Global Economic Policy Uncertainty Lifts Gold And USD Together Summary Of Trades Closed In 2017 Global Economic Policy Uncertainty Lifts Gold And USD Together Global Economic Policy Uncertainty Lifts Gold And USD Together Summary Of Trades Closed In 2016 Global Economic Policy Uncertainty Lifts Gold And USD Together Global Economic Policy Uncertainty Lifts Gold And USD Together
While our bullish take on refiners got to a slippery start, it has recovered all the losses and this position is now in the black. Factors are falling into place for additional gains in the coming months and we recommend investors stick with this overweight recommendation in pure-play downstream stocks. Domestic refined product consumption remains upbeat and should serve as a catalyst for further relative share prices gains (top panel). Refining product supply dynamics are also moving in the right direction. Gasoline inventories are getting whittled down and should boost beaten down refining relative profit expectations (inventories shown inverted, bottom panel). This firming demand/supply backdrop has already been a boon to refining margins and should continue to underpin relative share price momentum (middle panel). Bottom Line:  Stay overweight the S&P oil & gas refining & marking index. The ticker symbols for the stocks in this index are: BLBG – S5OILR – MPC, VLO, PSX, HFC. Please refer to the most recent Weekly Report1 for more details. bca.uses_in_2019_10_23_001_c1 bca.uses_in_2019_10_23_001_c1 Footnotes 1 Please See U.S. Equity Strategy, "Is This It?," dated October 21, 2019.
Highlights Given that rising crop yields have been the main vehicle through which global supply of agricultural commodities grew to meet expanding demand, the risks posed to yields due to climate change are non-trivial. The impact of climate change will manifest itself in the form of two simultaneous trends: the gradual rise in temperatures alongside more frequent and severe weather events. While the latter will threaten immediate supply, the former is a slower moving process, and its net negative impact is unlikely to manifest before 2030. The implications of climate change on agriculture producers are non-uniform. Low-latitude countries with economies that are highly dependent on the agriculture sector will suffer most. Expect greater volatility in agriculture prices as the frequency of weather events will raise uncertainty. Feature The steady expansion of global population and rising per-capita calorie consumption has directly translated to growing demand for agricultural products of all types. However, these demand-side pressures increasingly will be met with disruptions to global supply of agricultural commodities, as the impact of climate change raises uncertainty. In any given year, the aggregate decisions of farmers all over the world – i.e., the choice of which crops to plant and how much acreage to dedicate to each crop – determine the supply and market prices of ags. In this competitive market, each farmer attempts to maximize his or her welfare by planting the crops that are expected to yield the greatest profit. Chart 12010/11 Shock Highlights Ag Vulnerability To Weather 2010/11 Shock Highlights Ag Vulnerability To Weather 2010/11 Shock Highlights Ag Vulnerability To Weather The collective action of these producers in reaction to perceived demand generally leads to stable prices, especially for staple commodities such as grains and oilseeds, which differ from industrial commodities in that they are not highly correlated with global business cycles. Demand trends are long-term and slow moving, and typically do not result in abrupt price pressures, as farmers have time to adjust and adapt to changing consumer preferences. Unforeseen, weather-induced supply-side shocks, therefore, are the main source of sudden price changes in ag markets. Such a shock was dramatically on display during the drought-induced crop failures in major grain and cereal producing regions in the most recent global food crisis of 2010/11. While this massive supply shock was not the first of its kind (Chart 1, on page 1), it highlighted the vulnerability of ag markets to weather risks and specifically the evolving environment under climate change. A 2019 study quantifies the impact of shifting weather patterns on the agricultural market, finding that year-to-year changes in climate factors during the growing season explain 20%-49% of change in corn, rice, soybean, and wheat yields, with climate extremes accounting for 18%-43% of this variation.1 In theory, the impact can manifest in several ways, sometimes contradictory: Extreme weather events: An increase in the frequency and intensity of droughts or floods which threaten to wipe out crops or reduce yields, creating unpredictable supply shocks. The gradual rise in temperature: Each crop has cardinal temperatures – defined by the minimum, maximum and optimum – that determine its boundaries for growth. Increases in temperatures induced by global warming may push the boundary, reducing yields in some regions. Changes in precipitation patterns: In many areas precipitation is projected to increase – both in short bursts and over longer periods. This will lead to greater soil erosion resulting in deterioration in the quality of soil. In other regions, precipitation will decrease, and drought is expected to become more frequent.2 Moreover, the interaction of these factors – along with other region-specific variables – will amplify the impact on crops: Rising temperatures and greater precipitation will result in greater amounts of water in the atmosphere, producing increased water vapor and greater cloud cover. This will reduce solar radiation, and will harm crop productivity. Elevated atmospheric carbon dioxide and CO2 fertilization: Greater CO2 concentrations brought on by continued growth in air pollution are positive for crops as they stimulate photosynthesis and plant growth. However, the impact differs across crops with plants such as soybeans, rice and wheat set to benefit relatively more than plants such as corn.3 Moreover, elevated atmospheric CO2 levels can help crops respond to environmental stresses and reduce yield losses due to ozone and crop water loss through partial stomatal closure and a reduction in ozone penetration into leaves. Temperature changes and the magnitude and intensity of precipitation impact soil moisture and surface runoff. Indirect effects of climate change – weeds, pests and pathogens – also present challenges as they require changes to management practices and may raise farming costs required. The impact of climate change on agriculture markets is already evident in increasing intensity and frequency of extreme weather events. The confluence of these factors, and the region- and crop-specific nature of these variables, makes it impossible to estimate the impact of evolving climate conditions on ag products with great accuracy. Nevertheless, our research suggests that the impact of climate change on ag markets will create opportunities in this evolving and highly uncertain market. Abrupt Shocks Amid Gradual Warming: The Long And Short View The impact of climate change on agriculture markets is already evident in the increasing intensity and frequency of extreme-weather events such as heatwaves, floods, and droughts. Charts 2A, 2B, and 2C, illustrate the impact of major weather events in crop-producing regions of the U.S. on yields, production and acreage for the crop year in which the events took place. Chart 2AExtreme Weather Events Reduce U.S. Corn Supplies … Extreme Weather Events Reduce U.S. Corn Supplies Extreme Weather Events Reduce U.S. Corn Supplies Chart 2B… Soybean Supplies … Extreme Weather Events Reduce U.S. Soybean Supplies Extreme Weather Events Reduce U.S. Soybean Supplies Chart 2C… And Wheat Supplies In A Big Way Extreme Weather Events Reduce U.S. Wheat Supplies In A Big Way Extreme Weather Events Reduce U.S. Wheat Supplies In A Big Way Chart 3Climate-Induced U.S. Supply Shocks Associated With Price Spikes Climate-Induced U.S. Supply Shocks Associated With Price Spikes Climate-Induced U.S. Supply Shocks Associated With Price Spikes   While the individual losses are a function of the magnitude of the event, the events highlighted translate to a 16%, 10%, and 7% decline in corn, soybean, and wheat yields, respectively. These supply disruptions generally do not extend beyond the event year, as the new crop year offers farmers a clean slate to raise output and maximize profits. Given that the U.S. is a major global supplier of these crops, extreme weather events and the subsequent supply reductions lead to non-negligible price pressures (Chart 3). While crop conditions thus far have failed to deteriorate in trend (Chart 4), greater frequency and intensity of weather events raise the probability of a decline in overall crop and could lower supply.   Chart 4Crop Conditions Have Generally Held Up Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction Expanding the analysis to other major crop-producing regions of the world, we find that once again, extreme-weather events are associated with a decline in yields and production in the corresponding crop year (Chart 5). This exercise also indicates that the impact of droughts is significantly more pronounced than the impact of floods.4 While the weather-induced supply shocks described above are unpredictable, abrupt, and have an immediate impact on output and prices, the gradual warming of temperatures is a slow-moving process. Consequently, the impact will manifest in the form of gradual changes that are difficult to capture and quantify, especially given the mitigating effect of CO2 fertilization – i.e., higher yields resulting from higher CO2 in the atmosphere. Nonetheless, rising temperatures will become a serious risk in crop-planting regions both in the U.S. and globally (Chart 6). While rising temperatures are expected to bring about increasingly more wide-ranging supply disruptions (Chart 7), the net impact over the coming decade is not a clear negative. Chart 5Weather Events, Especially Droughts, Hurt Global Supplies Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction Chart 6Rising Global Temperatures Will Pose A Serious Risk … Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction Chart 7… Especially Above The 2°C Mark Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction One study expects the positive impact of CO2 fertilization on yields to overwhelm the negative effect of rising temperatures over the coming decade (Table 1). Elsewhere, studies forecast different responses, with some predicting incremental yield gains over the coming decade before temperatures rise to levels that overwhelm the benefits of greater CO2. Similarly, according to the FAO’s assessment, the net negative impact of climate change on global crop yields will only become apparent with a high degree of certainty post-2030.5 Table 1Estimates For The Response Of Global Average Crop Yields To Warming And CO2 Changes Over The Next Decades Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction Bottom Line: Given that rising crop yields have been the main vehicle through which global ag supply grew to meet expanding demand, the risks posed to yields due to climate change are non-trivial. Supply disruptions generally do not extend beyond the event year, as the new crop year offers farmers a clean slate to raise output and maximize profits. The impact will manifest itself in the form of two simultaneous trends: the gradual rise in temperatures alongside more frequent and severe weather events. While the latter will threaten immediate supply, the former is a slower moving process, and its net negative impact is unlikely to manifest before 2030. The Winners … And Losers Rising temperatures are expected to result in a negligible impact on ag markets over the coming decade; yet this finding is not uniform across all regions. The FAO study cited above finds that by 2030, the projected impact on crop yields will be slightly net negative in developing countries. However, in developed countries, the effect will be net positive. In terms of global supply, the impact of climate change over the coming decade is expected to remain relatively contained, affecting certain regions at various times without causing major global disruptions. That said, as global warming and extreme weather persist, the ramifications will begin to extend beyond individual regions, and will cause supply shocks on a global scale. In part, this can be explained by a greater potential for net reductions in crop yields in warmer, low-latitude areas and semi-arid regions of the world.6 This non-uniform impact will create relative winners and losers. Producers located in temperate regions – where climate change does not yet pose as serious a threat – are set to profit from their increased role in global supply. Conversely, tropical regions are much more vulnerable to climate change. This is especially true for those whose economies are highly dependent on agriculture (Chart 8). Chart 8Agricultural Economies In Tropical Regions Are Most Vulnerable Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction On net, the overall economies of DM countries – which generally are not economically dependent on agriculture and are located in northern regions – will be relatively more insulated from the impact of climate change on the agriculture sector. Aside from the impact on producers, the implications on consumers are also region-dependent. Clearly the direct impact of climate change on global agriculture will be higher food prices, which directly impacts the food component of inflation generally. As a result, consumers who spend a large share of their income to food – generally consumers in lower income countries – will be hardest hit (Chart 9). Chart 9Higher Food Prices Disproportionately Hurt Consumers In Lower Income Countries Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction In theory, a food supply shock is transitory, and given that food is usually excluded from core inflation gauges targeted by central banks, monetary policy should not react to these price spikes. All the same, aside from this direct impact on inflation, food inflation can also pass-through into other components of the CPI basket, for example through wage pressures or inflation expectations. This would lead to a more persistent impact on core inflation, forcing policy makers to react to these transitory forces, complicating the monetary policy response function for these countries. Given that inflation expectations are less well-anchored in lower income economies and that food makes up a larger share of consumption expenditures in these economies, they are most vulnerable to weather-induced food shocks. Chart 10Subsidies Partially Insulate Against International Shocks Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction In countries where food prices are highly subsidized, the impact of higher global food prices will not immediately translate to higher domestic prices. This explains why there is no one-to-one relationship between global food prices and domestic food prices (Chart 10). Instead, the higher prices are absorbed by the governments, resulting in an expansion in government expenditures. This distorts the local food market, as it prevents demand from adjusting to the higher prices, and could potentially result in an undershoot in inventories that makes global markets even more vulnerable to further supply shocks. Bottom Line: The implications of climate change on ag producers are non-uniform. While higher-latitude regions are set to benefit, at least in the short-run, low-latitude countries with economies that are highly dependent on the agriculture sector will suffer most. On the consumer side, individuals who spend a large share of their income on food are set to suffer most. While consumers in countries that subsidize the crops will be protected from the immediate inflation risk, they may feel a delayed impact due to an increase in budget expenditures needed to cover the larger import bill. Mitigation Efforts While the potential impact of climate change on the agriculture sector can be large, it will be at least partially managed through adoption of mitigation policies (Diagram 1). Diagram 1Adaptation Reduces Vulnerability Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction A key question in determining the extent of this behavior is whether warming temperatures and the increased occurrence and intensity of extreme events will be sufficient to justify a major acceleration of investment in agriculture. These efforts would range from simple management changes on the part of farmers to technological advances that raise the productivity of farming or reduce the vulnerability of farmers to climate change. For example, farmers across the U.S. have been planting corn and soybeans earlier in the spring, resulting in an advancement in planting dates (Chart 11). The earlier planting has also been accompanied by a longer growing season with the average number of days in the season increasing. Farmers are also adapting by altering their decisions on which crops to plant. For example, since soybean and corn are planted in many of the same regions of the U.S., farmers often plant more soybeans than corn when experiencing weather shocks. Chart 11Weather Events, Especially Droughts, Hurt Global Supplies Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction The agriculture sector is also using more efficient machinery that can plant and harvest crops much faster as well as developing heartier seeds and more potent fertilizers. In turn, farmers will alter their decision making by selecting crop varieties or species that are more resistant to heat and drought. Or they will change fertilizer rates, amounts and timing of irrigation, along with other water-management techniques. Farmers also are making wider use of integrated pest and pathogen management techniques, in order to raise the effectiveness of pest, disease, and weed control. Given that the number of firms in the agriculture sector are fewer in developed markets than in the rest of the world, management decisions can be more easily implemented in the former. Farmers across the U.S. have been planting corn and soybeans earlier in the spring, resulting in an advancement in planting dates. On the other hand, emerging market countries where ag output is driven by numerous individual farmers will have a more difficult time implementing policies. Individual farms may not have the means to support themselves, which raises the potential impact of climate change. What is more, climate-change mitigation efforts may require projects, programs, or funds set aside by the government to support these efforts. This is more likely to occur in wealthier developed countries. Bottom Line: Adaptation and mitigation measures on the part of farmers have the potential to reduce the impact of climate change. That said, farmers in richer countries with the funds and institutions in place to support the ag sector likely will fare better. Investment Implications Over the coming decade, the ramifications of climate change are likely to be contained to a regional level. Although global supply will be vulnerable to regional disruptions, the impact will, in part, be mitigated by inventories, which have been rising for years. These stocks will create a buffer against unpredictable supply shocks (Chart 12). Chart 12Higher Inventories Needed To Buffer Against Unpredictable Shocks Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction However, given that the global soybean market resembles an oligopoly with Brazil, the U.S., and Argentina accounting for 81% of global supply, global soybean prices will be more vulnerable to supply events in these regions than other crops (Chart 13). Chart 13Soybeans Most Vulnerable To Shocks Affecting Major Producers Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction At the other end of the spectrum, global wheat markets will be relatively more insulated from isolated weather events impacting any one major producer as each of these regions contributes a relatively small share to global wheat output. This analysis also finds that yields and supply generally recover in the crop year following an extreme climate event. This implies that while the extent of damage from these events can be severe, they are not persistent unless the increasing frequency of extreme events leads to a secular change. Aside from the price impact, the weather and temperature changes will manifest in the form of greater volatility in supply, translating to greater price volatility. Options-implied volatilities for corn, wheat and soybeans have been on a general downtrend since the two major global food scares in 2007/08 and 2010/11 (Chart 14). We expect the trend to reverse going forward as the frequency of weather events will create greater price uncertainty. We summarize the findings of this report in Table 3 (Appendix, on page 16). Chart 14Volatility Will Go Up Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction Roukaya Ibrahim Editor/Strategist RoukayaI@bcaresearch.com Jeremie Peloso Research Analyst JeremieP@bcaresearch.com Amr Hanafy Research Associate AmrH@bcaresearch.com Hugo Bélanger Senior Analyst HugoB@bcaresearch.com Isabelle Dimyadi Research Associate Isabelled@bcaresearch.com Appendix Table 2Extreme Weather Events In The U.S. Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction Table 3Summary Table Climate Change Special Series: An Introduction Climate Change Special Series: An Introduction Footnotes 1 Please see Vogel et al, The effects of climate extremes on global agricultural yields, Environ. Res. Lett 14 054010, 2019. 2 As a consequence of greenhouse gas emissions precipitation is expected to increase in high altitude regions such as much of the U.S. and decrease in subtropical regions such as the southwest U.S., Central America, southern Africa, and the Mediterranean basin. 3 Plants can be broken down into either C3 or C4 based on the way they assimilate atmospheric CO2 into different physiological components. While rising CO2 causes C3 plants to raise the rate of photosynthesis and reduce the respiration rate, C4 plants do not experience a rise in photosynthesis since  photosynthesis is already saturated. For example, studies show that soybean yields increased 12%-15% under 550 ppm vs. 370 ppm CO2 concentrations while corn experienced negligible yield increases. 4 Please see Lesk C., P. Rowhani, and N. Ramankutty, Influence of extreme weather disasters on global crop production, Nature, 529(7584), 84-87, 2016. 5 Please see The State Of Food And Agriculture: Climate Change, Agriculture, And Food Security, Food and Agriculture Organization of the United Nations, 2016. 6 Please see Stevanovic et al., The impact of high-end climate change on agricultural welfare, Sci-Adv 2(8), 2016.
Highlights Portfolio Strategy Soft housing demand, the trough in interest rates, new home price deflation and weak industry employment prospects suggest that an underweight stance is now warranted in the S&P homebuilding index.      Firming demand/supply dynamics, IMO Sulfur 2020 regulations, and bombed out relative profit expectations all signal that further gains are in store for pure-play refining equities. Recent Changes Downgrade the S&P homebuilding index to underweight, today. Table 1 Is This It? Is This It? Feature Equities made a run for fresh all-time highs last week, continuing to cheer the trade war “phase one” deal and breathing a big sigh of relief on better-than-expected bank earnings. We doubt a real deal will materialize which would include Intellectual Property and the tech sector. Instead all we got was a trade truce, at best. Larry Kudlow’s recent football analogy is worth repeating: “It's like being on the seven-yard line at a football game…And as a long suffering New York Giants fan, they could be on the seven and they never get the ball to the end zone…When you get down to the last 10 percent, seven-yard line, it's tough". As a reminder, steep tariffs remain in place and there are high odds that the damage already done to global trade is severe enough that it will be months before the emergence of any green shoots. Meanwhile, following up on our “chart of the year candidate” we published two weeks ago, we drilled deeper and discovered two additional economically sensitive indexes that have consistently peaked prior to the SPX in the past three cycles (Chart 1). They now comprise the U.S. Equity Strategy’s Equity Leading Indicator – an equally weighted composite of the S&P Banks index, the Russell 2000 index and the Value Line Geometric index – which signals that the easy money has already been made this cycle in the SPX (Chart 2). Chart 1Three Bulletproof Signals... Three Bulletproof Signals... Three Bulletproof Signals... Chart 2...Combined Into One Leading Equity Indicator ...Combined Into One Leading Equity Indicator ...Combined Into One Leading Equity Indicator Importantly, absent profit growth, it remains extremely difficult for equities to embark on a sustainable fresh leg up by solely relying on multiple expansion. Chart 3 shows our updated Corporate Pricing Power Indicator (CPPI) and it continues to deflate. In fact the steep fall in our CPPI more than offsets the fall in wage growth warning that the margin contraction in the S&P 500 has staying power1 (bottom panel, Chart 3). Drilling beneath the surface, our CPPI is waving a red flag. As a reminder, we calculate industry group pricing power from the relevant CPI, PPI, PCE and commodity growth rates for each of the 60 industry groups we track. Table 2 also highlights shorter term pricing power trends and each industry's spread to overall inflation. Only 42% of the industries we cover are lifting selling prices by more than 1%, and 33% are outright deflating. Worrisomely, only 26% of sectors are raising prices at a faster clip than overall inflation. With regard to pricing power trends, two thirds of the industries we cover are either flat or in a downtrend (Table 2). Chart 3Nil Corporate Pricing Power Nil Corporate Pricing Power Nil Corporate Pricing Power Table 2Industry Group Pricing Power Is This It? Is This It? Gold has jumped to the top of our table galloping at a 26%/annum rate (keep in mind it was deflating in our early July update), and only three additional commodity-related industries made it to the top twenty (Table 2). The disappearance of the commodity complex from the top ranks is consistent with global PPI ills and U.S. dollar strength. This week we update two groups, one early and one deep cyclical. Interestingly, defensive sectors have a healthy showing in the top ten spots with five entries. On the flip side, commodities in general and energy-related industries in particular occupy the bottom of the ranks as WTI crude oil is steeply deflating from the October 2018 peak. Adding it up, corporate sector selling price inflation is sinking in line with depressed inflation expectations. As we posited in our recent profit margin Special Report, profit margins have already peaked for the cycle. We reiterate our cautious overall equity market view on a cyclical 9-to-12 month time horizon. This week we update two groups, one early and one deep cyclical. Cracking Homebuilding Foundations We recommend downgrading the niche S&P homebuilding index to underweight, as most, if not all, positive profit drivers are already reflected in relative share prices. Specifically, the drop in interest rates has been more than accounted for by the year-to-date outperformance in homebuilders. Since the Great Recession, homebuilders have been in clearly defined mini up-and-down cycles, and there are high odds we will soon enter a down oscillation (bottom panel, Chart 4). Interest rates bottomed in early September and there is little additional push they can exert to relative share prices (10-year Treasury yield shown inverted, top panel, Chart 4). Chart 4Relative Gains Are Exhausted Relative Gains Are Exhausted Relative Gains Are Exhausted Worrisomely, consumers’ expectations to purchase a new home nosedived last month according to The Conference Board’s survey, and that demand softness will weigh on housing starts and ultimately homebuilding revenues (Chart 5). Chart 5Cracks Forming Cracks Forming Cracks Forming Adding insult to injury, new house selling prices are losing ground to existing home prices, but such discounting is no longer boosting volumes as new home sales market share gains have stalled recently. Already, S&P homebuilding sales are contracting and the risk is that deflation gets entrenched in this construction industry (Chart 6). While the mortgage application purchase index (MAPI) has been rising on the back of the plunge in interest rates, the 30bps rise in the 10-year Treasury yield since September 1 signals that the MAPI has tentatively crested (second panel, Chart 7). Chart 6Contracting Sales Contracting Sales Contracting Sales Chart 7Margin Trouble Margin Trouble Margin Trouble Simultaneously, lumber prices are gaining steam and coupled with contracting new home prices signal that homebuilding profits will suffer a setback (middle & fourth panels, Chart 7). This stands in marked contrast to the sell-side community that has been ratcheting up profit estimates for the S&P homebuilding index (bottom panel, Chart 7). Netting it all out, soft housing demand, the trough in interest rates, deflating new home prices and weakening industry employment prospects suggest that an underweight stance is now warranted in the S&P homebuilding index. On the operating front, the labor market is also emitting a distress signal. Job openings in the construction industry are sinking like a stone and residential construction employment growth is flirting with the contraction zone. Historically, the ebbs and flows in construction jobs have moved in lockstep with relative share price performance and the current message is to expect a drawdown in the latter (Chart 8). Most of the indicators we track underscore a challenging homebuilding backdrop in the coming months. However, there is a key risk to our view: interest rates. Were the 30-year fixed mortgage rate to fall further from current levels, it would entice first time home buyers and cushion the blow to homebuilding demand (mortgage rates shown inverted, top panel, Chart 9). Similarly, bankers are willing extenders of mortgage credit and are reporting rising demand for residential real estate loans as a lagged consequence of falling rates. But, our sense is that the easy gains are exhausted and a reversal is in the offing in most of these measures (Chart 9). Chart 8Heed The Labor Market's Message Heed The Labor Market's Message Heed The Labor Market's Message Chart 9Potentially Lower Rates Are A Key Risk Potentially Lower Rates Are A Key Risk Potentially Lower Rates Are A Key Risk Netting it all out, soft housing demand, the trough in interest rates, deflating new home prices and weakening industry employment prospects suggest that an underweight stance is now warranted in the S&P homebuilding index. Bottom Line: Downgrade the S&P homebuilding index to underweight, today. The ticker symbols for the stocks in this index are: BLBG – S5HOME – DHI, LEN, PHM, NVR. Stick With Refiners While our bullish take on refiners got to a slippery start, it has recovered all the losses and this position is now in the black. Factors are falling into place for additional gains in the coming months and we recommend investors stick with this overweight recommendation in pure-play downstream stocks. Encouragingly, refining stocks have been trouncing the overall energy index of late and have resumed their multi-year relative uptrend (top panel, Chart 10). With regard to the export relief valve, U.S. net exports of refined products are on a secular uptrend and surprisingly unaffected by the greenback’s moves (bottom panel, Chart 10). Tack on the soon to be adopted International Maritime Organization (IMO) Sulfur 2020 regulations in maritime transportation fuel, and U.S. refiners that produce lower-sulfur fuel oil are well positioned to outearn the SPX. Chart 10Resumed Uptrend Resumed Uptrend Resumed Uptrend Domestic refined product consumption remains upbeat and should serve as a catalyst to unlock excellent value in this niche energy subgroup (middle panel, Chart 11). In fact, gasoline consumption is expanding anew on the back of rising vehicle miles travelled (bottom panel, Chart 11). Chart 11Solid Demand... Solid Demand... Solid Demand... Refining product supply dynamics are also moving in the right direction. Gasoline inventories are getting whittled down and should boost beaten down refining relative profit expectations (inventories shown inverted, bottom panel, Chart 12). Importantly, this firming demand/supply backdrop has been a boon to refining margins and should continue to underpin relative share price momentum (middle panel, Chart 12). In terms of what is baked in the cake for this industry, the expected profit growth bar is extremely low and falling and relative value has been fully restored. First in terms of relative valuations, the relative trailing price-to-sales ratio has corrected 35% from the mid-2018 peak (middle panel, Chart 11). On a forward PE ratio basis refiners are extremely appealing compared with the SPX following a near halving in the relative forward PE in the past fifteen months (second panel, Chart 13). Chart 12...Supply Backdrop Is Boosting Crack Spreads  ...Supply Backdrop Is Boosting Crack Spreads  ...Supply Backdrop Is Boosting Crack Spreads  Chart 13Profit Hurdle Is Uncharacteristically Low Profit Hurdle Is Uncharacteristically Low Profit Hurdle Is Uncharacteristically Low Second, relative EPS growth has sunk below the zero line both twelve months and five years forward. Such pessimism is overdone and we would lean against sell-side bearishness (bottom panel, Chart 13). Even the refining industry’s net earnings revisions ratio has collapsed, which is contrarily positive (third panel, Chart 13). Adding it all up, firming demand/supply dynamics, IMO Sulfur 2020 regulations, and bombed out relative profit expectations all signal that further gains are in store for pure-play refining equities. Bottom Line: Stay overweight the S&P oil & gas refining & marking index. The ticker symbols for the stocks in this index are: BLBG – S5OILR – MPC, VLO, PSX, HFC.   Anastasios Avgeriou, U.S. Equity Strategist anastasios@bcaresearch.com   Footnotes 1      Please see BCA U.S. Equity Strategy Special Report, “Peak Margins” dated October 7, 2019, available at uses.bcaresearch.com. Current Recommendations Current Trades Size And Style Views Stay neutral cyclicals over defensives   (downgrade alert) Favor value over growth Favor large over small caps (Stop 10%)
The gold/silver ratio (GSR) was in a race towards a major overhead resistance at 100 this summer, but after hitting a three-decade high of 93.3, it is now showing tentative signs of a reversal. Historically, these reversals tend to be powerful, quick, and…