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評価

Highlights New structural recommendation: long GBP/USD. The substantial Brexit discount in the pound makes it a long-term buy for investors who can tolerate near-term volatility. The most powerful equity play on a fading Brexit discount would be the U.K. homebuilders. Specifically, Persimmon still has a further 25 percent of upside. Take profits in long Euro Stoxx 50 versus Shanghai Composite. Within Europe, close the overweight to Switzerland and the underweight to the Netherlands. Stay overweight banks versus industrials. Stay overweight the Euro Stoxx 50 versus the Nikkei 225. Fractal trade: long NZD/JPY. Feature Chart of the WeekThe Pound Has Substantial Upside If The Brexit Discount Fades Carnival Says The Pound Is Cheap Carnival, the world’s largest cruise liner company, lists its shares on both the London and New York stock exchanges. But there is an apparent riddle: in London the shares trade on a forward PE of 8.8, while in New York they trade on 9.4. How can Carnival trade at different valuations on the two sides of the Atlantic when the market should instantly arbitrage the difference away? The answer to the riddle is that the London listing is quoted in pounds, the New York listing is quoted in dollars, while Carnival’s sales and profits are denominated in a mix of international currencies. Neither Brexit developments nor a potential Jeremy Corbyn led government will prevent the pound from rallying in the longer term.  Carnival is trading on a higher valuation in New York versus London because the market is expecting its mixed currency earnings to appreciate more in dollar terms than in pound terms. Put another way, the valuation differential is expecting the pound to appreciate versus the dollar to a ‘fair value’ of around $1.40 (Chart I-2). Likewise, BHP Billiton shares are trading on a higher valuation in their Sydney listing compared to their London listing. This valuation differential is expecting the pound to appreciate versus the Australian dollar to around A$2.00 (Chart I-3). Chart I-2Carnival Says The Pound Is Cheap Chart I-3BHP Billiton Says The Pound Is Cheap In other words, the market believes that neither Brexit developments nor a potential Jeremy Corbyn led government will prevent the pound from rallying in the longer term. We tend to agree. The Wrong Way To Pick Stock Markets… And The Right Way Before continuing with the pound’s prospects, let’s wander into the wider investment landscape. One important lesson from dual-listed companies like Carnival and BHP Billiton is that a multinational’s valuation will appear attractive in a market where the currency is structurally cheap.1 This lesson has deep ramifications. Today, multinationals dominate all the major stock markets, meaning that the entire stock market will appear cheap if its currency is cheap. The stock market will also appear cheap if it is skewed towards lower-valued sectors. But sectors trade on a low valuation for a reason – poor long-term growth prospects. Through the past decade, Japanese banks seemed a relative bargain, trading on a forward PE of less than half of that on personal products companies (Chart I-4). Yet Japanese banks were not a relative bargain. Quite the contrary. Through the past decade Japanese personal products have outperformed the banks by 500 percent! (Chart I-5) Chart I-4Japanese Banks Seemed A Relative Bargain... Chart I-5...But Japanese Banks Were Not A Relative Bargain Hence, beware of picking stock markets on the basis of observations such as ‘European stocks are cheaper than U.S. stocks’. Given that a stock market valuation is the result of its currency valuation and its sector composition, assessing relative value across major stock markets is extremely difficult, if not impossible. To repeat, Carnival appears to be trading at a valuation discount in London versus New York, but the cheapness is illusory. Here’s the right way to pick major stock markets. Identify your preferred sectors and currencies, and then pick the regional and country stock markets that are skewed to these preferred sectors and currencies. In this regard, large underweight sector skews also matter. For example, China and EM have a near-zero exposure to healthcare equities, so their performances tend to correlate negatively with that of the global healthcare sector – albeit the causality could run in either direction. Identify your preferred sectors and currencies, and then pick the regional and country stock markets that are skewed to these preferred sectors and currencies. In early May, we noticed that the extreme outperformance of technology versus healthcare was at a critical technical point at which there was a high probability of a trend reversal. This high conviction sector view implied overweight Europe versus China, as well as overweight Switzerland and underweight Netherlands within Europe (Chart I-6 and Chart I-7). Chart I-6When Tech Underperforms Healthcare, China Underperforms Switzerland Chart I-7When Tech Underperforms Healthcare, The Netherlands Underperforms Switzerland   Given that this sector trend reversal has played out exactly as anticipated, it is time to bank the profits:   Close long Euro Stoxx 50 versus Shanghai Composite. And within Europe, close the overweight to Switzerland and the underweight to the Netherlands. Right now, it is appropriate to overweight banks versus industrials. It is the pace of the bond yield’s decline that has weighed on bank performance this year. But if the sharpest decline in bond yields is behind us, as seems likely, then banks should fare better versus other cyclicals (Chart I-8). Chart I-8If The Sharpest Decline In Bond Yields Is Over, Banks Will Outperform Industrials Once again, this sector view carries an equity market implication: stay overweight the Euro Stoxx 50 versus the Nikkei 225 (Chart I-9). Chart I-9Euro Stoxx 50 Vs. Nikkei 225 = Global Banks In Euros Vs. Global Industrials In Yen The Pound Is A Long-Term Buy Back to the pound. The message from the dual listings of Carnival and BHP Billiton is that the pound is cheap, and this is neatly corroborated by the relationship between relative interest rates and the pound versus the euro and dollar. Based on the pre-Brexit relationship between relative real interest rates and the pound’s exchange rate, we can quantify the ‘Brexit discount’. Absent this discount, the pound would now be trading close to €1.30 and well north of $1.40 (Chart of the Week and Chart I-10). Chart I-10The Pound Has Substantial Upside If The Brexit Discount Fades In the Brexit psychodrama, we do not claim to know exactly how the next few days or weeks will play out. In the short term, Brexit is a classic non-linear system, and non-linear systems are inherently unpredictable. However, in the longer term we expect the Brexit discount to fade in any sort of transitioned resolution that allows the U.K. to adapt to a new trading relationship with the world, or alternatively to stay in a relationship broadly similar to the current one. Whatever the eventual endpoint is, the key requirement to remove the Brexit discount is to avoid a cliff-edge. We expect the Brexit discount to fade in any sort of transitioned resolution. The stumbling block to a resolution is that the three key actors – the EU, the U.K. government, and the U.K. parliament – have conflicting red lines, so the Brexit ‘Venn diagram’ has had no overlap. The EU will not countenance a customs border that divides Ireland; the current U.K. government wants a Free Trade Agreement, which implies casting away Northern Ireland into the EU customs union; and the current U.K. parliament – unless its intentions suddenly change – wants the whole of the U.K., including Northern Ireland, to remain in the EU customs union.   Given that the EU will not budge its red line, the only way to a lasting resolution is for the government and parliament red lines to realign, This could happen via parliament being willing to sacrifice Northern Ireland, via a second referendum, or via a general election in which the government’s intentions and/or the composition of parliament changed. Given a long enough investment horizon – 2 years or more – it is likely that the government and parliament will realign their red lines to a Free Trade Agreement or to a customs union, one way or another. On this basis, the substantial Brexit discount in the pound makes it a long-term buy for investors who can tolerate near-term volatility. Accordingly, today we are initiating a new structural recommendation: long GBP/USD.  For equity investors, the most powerful play on a fading Brexit discount would be the U.K. homebuilders (Chart I-11). Specifically, if the pound reached $1.40, Persimmon still has a further 25 percent of upside. Chart I-11U.K. Homebuilders Have Substantial Upside If The Brexit Discount Fades Fractal Trading System*  Based on its collapsed fractal structure, we anticipate a countertrend rally in NZD/JPY within the next 130 days. Accordingly, go long NZD/JPY setting a profit target of 3 percent and a symmetrical stop-loss. Chart I-12 For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment’s fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions.   * For more details please see the European Investment Strategy Special Report “Fractals, Liquidity & A Trading Model,” dated December 11, 2014, available at eis.bcaresearch.com. Dhaval Joshi, Chief European Investment Strategist dhaval@bcaresearch.com Footnotes 1 There are also several companies with dual listings in the U.K. and the euro area. Unfortunately, these valuation differentials have been temporarily distorted by the risk of a no-deal Brexit, in which EU27 investors may have been forbidden from trading in the U.K. listed shares. Fractal Trading System Cyclical Recommendations Structural Recommendations Fractal Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields   Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations  
Analysis on Turkey is available below. Highlights A dovish Fed or robust U.S. growth does not constitute sufficient conditions for a bull market in EM. China’s business and credit cycles are much more important factors for EM than those of the U.S. A recovery in the Chinese economy and global manufacturing is not imminent. The common signal reverberating from various financial markets is that the risks to the global business cycle are still skewed to the downside. Feature Current investor perceptions of emerging markets are mixed. Some expect EM to benefit greatly from low U.S. interest rates. These investors view even a partial trade deal between the U.S. and China as sufficient for EM to embark on a bull market. BCA’s Emerging Markets Strategy team disagrees with this narrative. We deliberated the significance of the U.S.-China confrontation to EM in our September 19 report; therefore, we will not go over this subject here. Rather, in this report we discuss some of the more common misconceptions surrounding EM currently, and infer what these mean for investment strategies. Perception 1: The share of resource sectors (materials and energy) in the EM equity benchmark has declined substantially. This along with the expanded role of consumers and consumer stocks (Alibaba, Tencent and Baidu) in EM economies and equity markets has made their share prices less exposed to the global trade cycle and commodities prices. Reality: It is true that in many EM bourses, the weight of consumer stocks has been growing. Nevertheless, their financial markets in general, and equity markets in particular, remain very sensitive to the global trade cycle and commodities prices. Chart I-1 illustrates that the aggregate EM equity index has historically been and continues to be strongly correlated with the global basic materials stock index. The latter includes mining, steel and chemical companies. Global materials stocks also exhibit a very strong correlation with Chinese banks’ share prices. Moreover, global materials stocks also exhibit a very strong correlation with Chinese banks’ share prices (Chart I-2). The rationale for the high correlation is that both mainland banks’ profits and global demand for basic materials are driven by a common factor: China’s business cycle. Chart I-1EM And Global Materials Stocks Move Together Chart I-2Chinese Bank And Global Materials Share Prices Are Highly Correlated For example, construction in China is contracting (Chart I-3), which entails both higher NPLs for Chinese banks and lower demand for basic materials. China accounts for about 50% of global consumption of industrial metals, cement and many other basic materials. Finally, EM ex-China bank stocks also correlate strongly with global basic materials share prices. The basis is as follows: Many emerging economies export raw materials, and commodities price fluctuations impact their business cycle, exports and exchange rates. Chart I-3China: Construction Activity Is Contracting Chart I-4High-Yielding EM: Currencies And Local Bond Yields Historically, in high-yielding EM markets, currency depreciation has led to higher interest rates and lower bank share prices, and vice versa (Chart I-4). Lately, EM bond yields have not risen in response to EM currency depreciation. However, we believe this correlation will soon be re-established if EM currencies continue drifting lower.  In short, China’s money/credit cycles drive not only the mainland’s business cycle, banking profits and NPLs, but also global trade and commodities prices. The latter two - via their impact on exchange rates and in turn interest rates - have historically explained credit and domestic demand cycles in high-yielding EM. Perception 2:  EM stocks are a high-beta play on the S&P 500, i.e., EM equities outperform when the S&P 500 rallies, and vice versa. Reality: Since 2012, the beta for EM equity versus the S&P 500 has often been below one (Chart I-5). Furthermore, since 2012, EM share prices often failed to outpace their DM peers during global equity rallies. Indeed, EM relative equity performance versus DM, as well as the EM ex-China currency total return index, have been closely tracking the relative performance of global cyclicals versus global defensive stocks (Chart I-6). Chart I-5EM Equities Beta To The S&P 500 Chart I-6Global Cyclicals-To-Defensives Equity Ratio And EM   In short, EM equities and currencies have been, and will remain, sensitive to the global business cycle rather than the S&P 500. Since 2012, the latter has - on several occasions - decoupled from the global manufacturing and trade cycles. Perception 3:  EM stocks, currencies and fixed-income markets are very sensitive to U.S. interest rates. Hence, a dovish Fed will lead to EM currency appreciation.  Reality: Chart I-7 reveals that EM currencies, total returns on EM local currency bonds in U.S. dollar terms and EM sovereign credit spreads do not exhibit a strong relationship with U.S. Treasury yields. U.S. interest rate expectations have a much smaller impact on EM financial markets than commonly perceived by the investment community.  Overall, U.S. interest rate expectations have a much smaller impact on EM financial markets than commonly perceived by the investment community.  Chart I-7EM And U.S. Bond Yields: No Stable Correlation Chart I-8China Cycle And EM Stocks Led U.S. Bond Yields On the contrary, the declines in U.S. bond yields in both 2015/16 and in 2018/19 were due to the growth slowdown that emanated from China/EM. The top panel of Chart I-8 illustrates that Chinese import growth rolled over in December 2017, yet U.S. bond yields rolled over in October 2018. What is more, EM share prices have been leading U.S. bond yields in recent years, not the other way around (Chart I-8, bottom panel). Perception 4:  If the U.S. avoids a recession, EM risk assets will recover. Chart I-9EM Profits Are Driven By Chinese Not U.S. Business Cycle Reality: EM per-share earnings contracted in 2012-2014 and in 2019, despite reasonably robust growth in U.S. final demand (Chart I-9, top panel). This suggests that even if the U.S. economy avoids a recession, that will not be a sufficient condition to be bullish on EM. EM corporate profits are highly driven by China’s business cycle. The bottom panel of Chart I-9 illustrates that mainland domestic industrial orders have been the key driver of EM corporate profit cycles since 2008. Perception 5:  EM equities, fixed-income markets and currencies are cheap. Reality: EM stocks are not cheap. They are fairly valued. Equity sectors with very poor fundamentals have very low multiples. Hence, they are “cheap” for a reason. These include Chinese banks, state-owned enterprises in various countries and resource companies. Equity segments with robust fundamentals are overpriced. Given that Chinese banks, state-owned enterprises in various countries, resource companies, and cyclical businesses have very large market caps, EM market-cap based equity valuation ratios are low – i.e., they appear cheap.  To remove the impact of these large market cap segments, we constructed and have been publishing the following valuation ratios: median, 20% trimmed mean and equal-sub-sector weighted (Chart I-10). Each of these is calculated based on the average of trailing and forward P/E ratios, price-to-book value, price-to-cash earnings and price-to-dividend ratios. EM equities relative to DM are not cheap either. Chart I-11 demonstrates the same ratios – median, 20% trimmed-mean and equal-sub-sector weighted values for EM versus DM. Chart I-10EM Equities Are Not Cheap Chart I-11Relative To DM EM Stocks Are Not Cheap Further, when valuations are not at extremes as in the case of EM equities at the moment, the profit cycle holds the key to share price performance over a 6 to 12-month horizon. EM earnings are presently contracting in absolute terms, and underperforming DM EPS. Two currencies that offer value are the Mexican peso and Russian ruble. Chart I-12EM Local Yields Are Low In Absolute Terms And Relative To U.S. In the fixed-income space, EM local bond yields are very low in absolute terms and relative to U.S. Treasury yields (Chart I-12). EM sovereign and corporate spreads are not wide either. As to exchange rates, the cheapest currencies are those with the worst fundamentals, such as the Argentine peso, Turkish lira and South African rand. The majority of other EM currencies are not very cheap. Two currencies that offer value are the Mexican peso and Russian ruble. Yet foreign investors are very long these currencies, and a combination of lower oil prices and portfolio outflows from broader EM will weigh on these exchange rates as well. Takeaways And Investment Strategy Chart I-13EM Currencies And Industrial Metals Prices EM risk assets and currencies exhibit the strongest correlation with global trade and commodities prices. Chart I-13 indicates that the EM ex-China currency total return index closely tracks commodities prices. This corroborates the messages from Chart I-1 on page 1 and Chart I-6 on page 4.  China’s business and credit cycles are much more important for EM than those of the U.S. A dovish Fed or strong U.S. growth are not sufficient reasons to bet on an EM bull market. A recovery in the Chinese economy and global manufacturing is not imminent. Individual EM countries’ domestic fundamentals such as return on capital, inflation, banking system health, competitiveness and politics drive individual EM performance. On these accounts, the outlook varies among EM. Readers can find analyses on specific EM economies in our Countries In-Depth page. Asset allocators should continue underweighting EM stocks, credit and currencies versus their DM counterparts.  Absolute-return investors should outright avoid EM, or trade them on the short side. Within the EM equity space, our overweights are Mexico, Russia, Central Europe, Korea ex-tech, Thailand and the UAE. Our underweights are South Africa, Indonesia, Philippines, Hong Kong, Turkey and Colombia. The path of least resistance for the U.S. dollar is up. Continue shorting the following basket of EM currencies versus the dollar: ZAR, CLP, COP, IDR, MYR, PHP and KRW. We are also short the CNY versus the greenback. As always, the list of our country allocations for local currency bonds and sovereign credit markets is available at the end of our reports – please refer to page 16. Take Cues From These Markets We suggest investors take cues from the following financial market signals. They are unequivocally sending a downbeat message for global growth and risk assets: The ratio between Sweden and Swiss non-financial stocks in common currency terms is heading south (Chart I-14). Swedish non-financials include many companies leveraged to the global industrial cycle, while Swiss non-financials are dominated by defensive stocks. Hence, the persistent decline in this ratio presages a continued deterioration in the global industrial sector. Where is the next defense line for this ratio? To reach its 2002 and 2008 nadirs, it will need to drop by another 10%. In the interim, investors should maintain a defensive posture. Chart I-14A Message From Swedish And Swiss Equities Chart I-15A Breakdown In The Making? U.S. FAANG stocks appear to be cracking below their 200-day moving average. The relative performance of global cyclical versus global defensive stocks is relapsing below the three-year moving average that served as a support last December (Chart I-15). U.S. FAANG stocks appear to be cracking below their 200-day moving average (Chart I-16). If this support gives, the next one will be about 17% below current levels. Finally, U.S. high-beta share prices are on the verge of a breakdown (Chart I-17). The next technical support is 10% below current levels. Chart I-16FAANG Are On The Support Line Chart I-17U.S. High-Beta Stocks Are On The Edge Bottom Line: The common message reverberating from these financial markets corroborates our fundamental analysis that a global business cycle recovery is not imminent, and that global risk assets in general, and EM financial markets in particular, are at risk of selling off further. Arthur Budaghyan Chief Emerging Markets Strategist arthurb@bcaresearch.com   Turkey: Is The Mean-Reversion Rally Over? Turkish financial markets have rebounded to their respective falling trend lines (Chart II-1). Are they set to break out or is a setback looming? Chart II-1Back To Falling Trend Chart II-2TRY Is Cheap Pros The economy has undergone a considerable real adjustment and many excesses have been purged: The current account balance has turned positive as imports have collapsed. Going forward, lower oil prices are likely to help the nation’s current account dynamics. The lira has become cheap (Chart II-2).  According to the real effective exchange rate based on unit labor costs, the currency is one standard deviation below its fair value. Core and headline inflation have fallen, allowing the central bank to cut interest rates aggressively. However, the exchange rate still holds the key: if the currency depreciates anew, local bonds yields will rise and the ability of the central bank to reduce borrowing costs further will diminish. Finally, private credit and broad money growth have decelerated substantially and are contracting in inflation-adjusted terms (Chart II-3). Chart II-3Money & Credit Have Bottomed Chart II-4Banks Have Been Aggressively Buying Government Bonds The recent gap between broad money and private credit growth has been due to commercial banks buying government bonds (Chart II-4). When a commercial bank purchases a security from non-banks, a new deposit/new unit of money supply is created. Banks’ purchases of government bonds en masse have capped domestic bond yields. However, if pursued aggressively, such monetary expansion could weigh on the currency’s value.   Cons Presently, potential sources of macro vulnerability in Turkey are: Foreign debt obligations (FDOs) – which are calculated as the sum of short-term claims, interest payments and amortization over the next 12 months – are at $168 billion, which is sizable. The annual current account surplus has reached only $4 billion and is sufficient to cover only 2.5% of FDOs, assuming the capital and financial account balance will be zero. Clearly, Turkey needs to both roll over most of its foreign debt coming due and attract foreign capital to finance a potential expansion in its imports if its domestic demand is to recover. Critically, $20 billion of net FX reserves, excluding gold, swap lines with foreign central banks and net of domestic banking and non-banking corporations’ foreign exchange deposits, are not adequate either to cover foreign debt obligations. Even though headline and core inflation measures have fallen, wage inflation remains rampant (Chart II-5). If wage inflation does not drop substantially very soon, rapidly rising unit labor costs will feed into inflation leading to negative ramifications for the exchange rate. This is especially crucial in Turkey given President Erdogan has undermined the central bank’s credibility and is resorting to populist measures to revive his popularity. Finally, Turkish banks remain under-provisioned. Currently, the banking regulator is requiring banks to boost their non-performing loans (NPL) ratio to 6.3% of total loans.This a far cry from the 2001 episode when the NPL ratio shot up to 25% (Chart II-6).   Even though interest rates rose much more in 2001 than last year, the private credit penetration in the economy was very low in the early 2000s. A higher credit penetration usually implies weaker borrowers have borrowed money and heralds a higher NPL ratio. Typically, following a credit boom and bust, it is natural for the NPL ratio to exceed 10%. We do not think Turkish banks stocks, having rallied a lot from their lows, are pricing in such a scenario. Chart II-5Surging Wages Are A Risk Chart II-6NPL Ratio Is Unrealistic Investment Recommendation We recommend both absolute-return investors and asset allocators not to chase Turkish financial markets higher. Renewed market volatility lies ahead. Given we expect foreign capital outflows from EM, Turkish companies and banks will encounter difficulties in rolling over their external debt and attracting foreign capital into domestic markets. This will produce a new downleg in the exchange rate. In turn, currency depreciation will weigh on performance of local bonds as well as sovereign and corporate credit. Stay underweight.   Andrija Vesic, Research Analyst andrijav@bcaresearch.com Footnotes Equities Recommendations Currencies, Credit And Fixed-Income Recommendations
Highlights Q3/2019 Performance Breakdown: Our recommended model bond portfolio underperformed the custom benchmark by -30bps during the third quarter of the year. Winners & Losers: The biggest underperformance came from underweight positions in U.S. Treasuries (-28bps) and Italian government bonds (-18bps) as yields plunged, dwarfing gains from overweights in corporate bonds in the U.S. (+11bps) and euro area (+4bps). Scenario Analysis For The Next Six Months: We are maintaining our current positioning, staying below-benchmark on duration while overweighting U.S. and euro area corporates vs. government debt. In our base case scenario, global growth will begin to stabilize but the Fed will deliver one more “insurance” rate cut by year-end, leading to corporate bond outperformance. Feature Global bond markets have enjoyed a powerful bull run throughout 2019, as yields have plummeted alongside weakening global growth and growing political uncertainty. Those two forces came to a head in the third quarter of the year, with U.S.-China trade tensions ratcheting up another notch after the imposition of higher U.S. tariffs in early August and global manufacturing PMI data moving into contraction territory – especially in the U.S. The result was a significant fall in government bond yields as markets discounted both lower inflation expectations and more aggressive monetary easing from global central banks, led by the Fed and ECB. The benchmark 10-year U.S. Treasury yield and 10-year German Bund yield plunged -40bps and -25bps, respectively, during the July-September period. Yet at the same time, global credit markets remained surprisingly stable, as the option-adjusted spread on the Bloomberg Barclays Global Corporates index was unchanged over the same three months. In this report, we review the performance of the BCA Global Fixed Income Strategy (GFIS) model bond portfolio during the eventful third quarter of 2019. We also present our updated scenario analysis, and total return projections, for the portfolio over the next six months. As a reminder to existing readers (and to new clients), the model portfolio is a part of our service that complements the usual macro analysis of global fixed income markets. The portfolio is how we communicate our opinion on the relative attractiveness between government bond and spread product sectors. This is done by applying actual percentage weightings to each of our recommendations within a fully invested hypothetical bond portfolio. Q3/2019 Model Portfolio Performance Breakdown: Good News On Credit Trumped By Bad News On Duration Chart of the WeekDuration Losses Dwarf Credit Gains In Q3/19 The total return for the GFIS model portfolio (hedged into U.S. dollars) in the third quarter was 2.0%, lagging the custom benchmark index by -30 bps (Chart of the Week).1 This brings the cumulative year-to-date total return of the portfolio to +7.8%, which has underperformed the benchmark by a disappointing –67bps. The Q3 drag on relative returns came entirely from the government bond side of the portfolio; specifically, the underweight allocation to U.S. Treasuries and Italian government bonds (Table 1). Those allocations reflected our views on overall portfolio duration (below benchmark) and a relative value consideration within European spread product (preferring corporates to Italy). Both those recommendations went against us as global bond yields dropped during Q3, with Italian yields collapsing (the benchmark 10-year yield was down –126bps) as investors chased any positive yield denominated in euros after the ECB signaled a new round of policy easing. The total return for the GFIS model portfolio (hedged into U.S. dollars) in the third quarter was 2.0%, lagging the custom benchmark index by -30 bps  Table 1GFIS Model Bond Portfolio Q3/2019 Overall Return Attribution Providing some partial offset to the U.S. and Italy allocations were gains from overweight positions in government bonds in the U.K., Australia and Japan. More importantly, our overweights in corporate debt in the U.S. and euro area made a strong positive contribution to the performance of the portfolio. The bar charts showing the total and relative returns for each individual government bond market and spread product sector are presented in Charts 2 and 3. The most significant movers were: Chart 2GFIS Model Bond Portfolio Q3/2019 Government Bond Performance Attribution Chart 3GFIS Model Bond Portfolio Q3/2019 Spread Product Performance Attribution By Sector Biggest outperformers Overweight U.S. high-yield Ba-rated (+4bps) Overweight U.S. high-yield B-rated (+3bps) Overweight U.S. investment grade industrials (+3bps) Overweight Japanese government bonds with maturity of 5-7 years (+2bps) Overweight euro area corporates, both investment grade (+2bps) and high-yield (+2bps) Biggest underperformers Underweight U.S. government bonds with maturity beyond 10+ years (-15bps) Underweight Italy government bonds with maturity beyond 10+ years (-10bps) Underweight U.S. government bonds with maturity of 7-10 years (-5bps) Underweight Japanese government bonds with maturity beyond 10+ years (-4bps) Underweight U.S. government bonds with maturity of 3-5 years (-4bps) Chart 4 presents the ranked benchmark index returns of the individual countries and spread product sectors in the GFIS model bond portfolio for Q3/2019. The returns are hedged into U.S. dollars (we do not take active currency risk in this portfolio) and are adjusted to reflect duration differences between each country/sector and the overall custom benchmark index for the model portfolio. We have also color-coded the bars in each chart to reflect our recommended investment stance for each market during Q3/2019 (red for underweight, blue for overweight, gray for neutral).2 Ideally, we would look to see more blue bars on the left side of the chart where market returns are highest, and more red bars on the right side of the chart were returns are lowest. Chart 4Ranking The Winners & Losers From The Model Bond Portfolio In Q3/2019 One thing that stands out from Chart 4 is that every fixed income sector generated a positive return, except for EM USD-denominated corporates. This is a fascinating outcome given the sharp falls in risk-free government bond yields which typically would correlate to a selloff in risk assets and widening of credit spreads. The soothing balm of looser global monetary policy seems to have offset the impact of elevated uncertainty on trade and future economic growth, allowing both bond yields and credit spreads to stay low. The soothing balm of looser global monetary policy seems to have offset the impact of elevated uncertainty on trade and future economic growth, allowing both bond yields and credit spreads to stay low.  We maintained an overweight stance on global spread product throughout Q3, as we felt that the monetary policy effect would continue to overwhelm uncertainty. We did, however, make some tactical adjustments to our duration stance after the U.S. raised tariffs on Chinese imports, upgrading to neutral on August 6th.3 We had felt that higher tariffs were a sign that a potential end to the U.S.-China trade conflict was now even less likely, which raised the odds of a potential risk-off financial market event that would temporarily push bond yields lower. We shifted back to a below-benchmark duration stance on September 17th, given signs of de-escalation in the trade dispute and, more importantly, some improvement evident in global leading economic indicators.4 Bottom Line: Our recommended model bond portfolio underperformed the custom benchmark index during the third quarter of the year, with the drag on performance from an underweight stance on U.S. Treasuries and Italian BTPs overwhelming the gains from corporate credit overweights in the U.S. and euro area. Future Drivers Of Portfolio Returns Looking ahead, the performance of the model bond portfolio will continue to be driven by two main factors: our below-benchmark duration bias and our overweight stance on global corporate debt versus government bonds. Chart 5Overall Portfolio Allocation: Overweight Credit In terms of the specific high-level weightings in the model portfolio, we currently have a moderate overweight, equal to eight percentage points, on spread product versus government debt (Chart 5). This reflects a more constructive view on future global growth. Early leading economic indicators are starting to bottom out and global central bankers are maintaining a dovish policy bias despite low unemployment rates – both factors that will continue to benefit growth-sensitive assets like corporate debt. Early leading economic indicators are starting to bottom out and global central bankers are maintaining a dovish policy bias despite low unemployment rates – both factors that will continue to benefit growth-sensitive assets like corporate debt. We are maintaining our below-benchmark duration tilt at 0.6 years short of the custom benchmark (Chart 6). We recognize, however, that the underperformance from duration in the model portfolio will not begin to be clawed back until there are signs of a bottoming in widely-followed cyclical economic indicators like the U.S. ISM index and the German ZEW. We think that will happen given the uptick in our global leading economic indicator (LEI), but that may take a few more months to develop based on the usual lead time from the LEI to the survey data like the ISM. The hook up in the global LEI does still gives us more confidence that the big decline in global bond yields seen this year is over, especially if a potential truce in the U.S.-China trade war is soon reached, as our political strategists believe to be increasingly likely. Chart 6Overall Portfolio Duration: Moderately Below Benchmark Turning to country allocation, we are sticking with overweights in countries where central banks are likely to be more dovish than the Fed over the next 6-12 months (Germany, France, the U.K., Japan, and Australia). We are staying underweight the U.S. where inflation expectations appear too low and Fed rate cut expectations look too extreme. The Italy underweight has become a trickier call. We have long viewed Italian debt as a growth-sensitive credit instrument rather than the yield-driven rates vehicle it became in Q3 as markets priced in fresh monetary easing measures from the ECB (including restarting government purchases). We will revisit our Italy views in an upcoming report but, until then, we will continue to view Italian BTPs within the context of our European spread product allocation. Thus, we are maintaining an overweight on euro area corporate debt (by 1% each in investment grade and high-yield) while having an equal-sized underweight (-2%) in Italian government bonds. Our combined positioning generates a portfolio that has “positive carry”, with a yield of 3.1% (hedged into U.S. dollars) that is +25bps over that of the custom benchmark index (Chart 7). That same portfolio, however, generates an estimated tracking error (excess volatility of the portfolio versus its benchmark) of 55bps - well below our self-imposed 100bps ceiling and still within the 40-60bps range we have targeted since the start of 2019 (Chart 8). Chart 7Portfolio Yield: Positive Carry From Credit Chart 8Portfolio Risk Budget Usage: Cautious Scenario Analysis & Return Forecasts In April 2018, we introduced a framework for estimating total returns for all government bond markets and spread product sectors, based on common risk factors.5 For credit, returns are estimated as a function of changes in the U.S. dollar, the Fed funds rate, oil prices and market volatility as proxied by the VIX index (Table 2A). For government bonds, non-U.S. yield changes are estimated using historical betas to changes in U.S. Treasury yields (Table 2B). Table 2AFactor Regressions Used To Estimate Spread Product Yield Changes Table 2BEstimated Government Bond Yield Betas To U.S. Treasuries This framework allows us to conduct scenario analysis of projected returns for each asset class in the model bond portfolio by making assumptions on those individual risk factors. In Tables 3A & 3B, we present our three main scenarios for the next six months, defined by changes in the risk factors, and the expected performance of the model bond portfolio in each case. The scenarios, described below, all revolve around our expectation that the most important drivers of future market returns will continue to be the momentum of global growth and the path of U.S. monetary policy. The scenario inputs for the four main risk factors (the fed funds rate, the price of oil, the U.S. dollar and the VIX index) are shown visually in Chart 9. Table 3AScenario Analysis For The GFIS Model Bond Portfolio For The Next Six Months Table 3BU.S. Treasury Yield Assumptions For The 6-Month Forward Scenario Analysis Chart 9Risk Factor Assumptions For The Scenario Analysis Base Case (Global Growth Bottoms): The Fed delivers one more -25bp rate cut by the end of 2019, the U.S. dollar weakens by -3%, oil prices rise by +10%, the VIX hovers around 15, and there is a bear-steepening of the UST curve. This is a scenario where the U.S. economy ends up avoiding recession and grows at roughly a trend-like pace. The Fed, however, still delivers one more “insurance” rate cut to mitigate the risk of low inflation expectations becoming more entrenched. Global growth is expected to bottom out as heralded by the global leading indicators. A truce (but not a full deal) is expected on the U.S.-China trade front, helping to moderately soften the U.S. dollar through reduced risk aversion. The model bond portfolio is expected to beat the benchmark index by +91bps in this case. Global Growth Strongly Rebounds: The Fed stays on hold, the U.S. dollar weakens by -5%, oil prices rise by +20%, the VIX declines to 12, there is a modest bear-steepening of the UST curve. In this tail-risk scenario, global growth starts to reaccelerate in lagged response to the global monetary easing seen this year, combined with some fiscal stimulus in major countries (China, the U.S., perhaps even Germany). The U.S. dollar weakens as global capital flows shift to markets which are more sensitive to global growth. The model bond portfolio is expected to beat the benchmark index by +106bps in this case. U.S. Downturn Intensifies: The Fed cuts rates by -75bps, the U.S. dollar is flat, oil prices fall by -15%, the VIX rises to 30; there is a bull-steepening of the UST curve. Under this tail-risk scenario, the current slowing of U.S. growth momentum gains speed, pushing the economy towards recession. The Fed cuts rates aggressively in response, helping weaken the U.S. dollar, but not before global risk assets sell off sharply to discount a worldwide recession. The model portfolio will underperform the benchmark by -38bps in this scenario. In terms of our conviction level among the main drivers of the model portfolio returns – duration allocation (across yield curves and countries) and asset allocation (credit versus government bonds) – we are most confident that credit returns will exceed those of sovereign debt over the next six months. In terms of our conviction level among the main drivers of the model portfolio returns – duration allocation (across yield curves and countries) and asset allocation (credit versus government bonds) – we are most confident that credit returns will exceed those of sovereign debt over the next six months. The underweight duration position, however, will also eventually begin to pay off if the message from the budding improvement in global leading economic indicators turns out to be correct. A collapse of the U.S.-China trade negotiations is the biggest threat to our base case, which would make the “U.S. Downturn Intensifies” scenario a more likely outcome. Bottom Line: We are maintaining our current positioning, staying below-benchmark on duration while overweighting U.S. and euro area corporates governments. In our base case scenario, global growth will begin to stabilize but the Fed will deliver one more “insurance” rate cut by year-end, leading to spread product outperformance.   Robert Robis, CFA, Chief Fixed Income Strategist rrobis@bcaresearch.com Ray Park, CFA, Research Analyst ray@bcaresearch.com Footnotes 1 The GFIS model bond portfolio custom benchmark index is the Bloomberg Barclays Global Aggregate Index, but with allocations to global high-yield corporate debt replacing very high quality spread product (i.e. AA-rated). We believe this to be more indicative of the typical internal benchmark used by global multi-sector fixed income managers. 2 Note that sectors where we made changes to our recommended weightings during Q3/2019 will have multiple colors in the respective bars in Chart 4. 3 Please see BCA Global Fixed Income Strategy Weekly Report, “Trade War Worries: Once More, With Feeling”, dated August 6, 2019, available at gfis.bcaresearch.com. 4 Please see BCA Global Fixed Income Strategy Weekly Report, “The World Is Not Ending: Return To Below-Benchmark Portfolio Duration”, dated September 17, 2019, available at gfis.bcaresearch.com. 5 Please see BCA Global Fixed Income Strategy Weekly Report, “GFIS Model Bond Portfolio Q1/2018 Performance Review: A Rough Start”, dated April 10th 2018, available at gfis.bcareseach.com. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns
Highlights Chart 1Contagion? Until last week, global growth weakness had been wholly confined to the manufacturing sector. But the drop to 52.6 in September’s Non-Manufacturing PMI (from 56.4 in August) raises the specter of contagion from manufacturing into the broader U.S. economy. A further drop would be consistent with an economy headed toward recession, and run contrary to the 2015/16 roadmap that has been our base case (Chart 1). We think it is still premature to abandon the 2015/16 episode as an appropriate comparable for the current period. For one thing, the hard economic data paint a rosier picture than the PMI surveys. Industrial production and core durable goods new orders are up 2.5% and 2.3% (annualized), respectively, during the past 3 months. These data have helped drive the economic surprise index above zero, an event that usually coincides with rising yields (bottom panel). The divergence between soft and hard data makes it clear that trade uncertainties are so far having a greater impact on business sentiment than on actual production, but history tells us that these divergences don’t last long. Some positive news on the trade front will be required during the next few months to raise business sentiment and push bond yields higher. Stay tuned. Feature Investment Grade: Overweight Chart 2Investment Grade Market Overview Investment grade corporate bonds outperformed the duration-equivalent Treasury index by 42 basis points in September, before giving back 37 bps in the first week of October. We consider three main factors in our credit cycle analysis: (i) corporate balance sheet health, (ii) monetary conditions, and (iii) valuation. At present, the chief conundrum for investors is that while corporate balance sheet health is weak, the monetary environment is extraordinarily accommodative.1 On balance sheets, our top-down measure of gross leverage is elevated and rising (Chart 2). In contrast, interest coverage ratios remain solid, propped up by the Fed’s accommodative stance. With inflation expectations still very low, the Fed can maintain its “easy money” policy for some time yet. This will ensure that interest coverage stays solid and that bank lending standards continue to ease (bottom panel). This is an environment where corporate bond spreads should tighten. How low can spreads go? Our assessment of reasonable spread targets for the current environment suggests that Aaa, Aa and A-rated spreads are already fully valued, while Baa-rated spreads are 13 bps cheap (panels 2 & 3).2 We recommend focusing investment grade corporate bond exposure on the Baa credit tier, and subbing some Agency MBS into your portfolio in place of corporate bonds rated A or higher. Table 3ACorporate Sector Relative Valuation And Recommended Allocation* Table 3BCorporate Sector Risk Vs. Reward* High-Yield: Overweight Chart 3High-Yield Market Overview High-Yield outperformed the duration-equivalent Treasury index by 66 basis points in September, before giving back 117 bps in the first week of October. The junk index’s option-adjusted spread (OAS) has been fairly stable for most of the year, but the sector has become increasingly attractive from a risk/reward perspective.3 This is because the index’s negatively convex nature has caused its average duration to fall alongside declining Treasury yields. Chart 3 shows that while the index OAS has been rangebound, the 12-month breakeven spread has widened considerably.4 In other words, while junk expected returns have been stable, those expected returns now come with considerably less risk. As a result, the junk index OAS looks increasingly attractive relative to our spread target.5 Specifically, we now view the junk index OAS as 171 bps cheap (panel 3). Falling index duration also explains the divergence between quality spreads and the index OAS. Many have observed that the spread differential between Caa and Ba-rated junk bonds has widened in recent months, while the overall index OAS has been stable (panel 4). However, the divergence evaporates when we look at 12-month breakeven spreads instead of OAS (bottom panel). MBS: Neutral Chart 4MBS Market Overview Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 24 basis points in September, before giving back 25 bps in the first week of October. MBS have underperformed Treasuries by 31 bps, year-to-date. The conventional 30-year zero volatility spread held flat at 82 bps in September, as a 3 bps increase in expected prepayment losses (option cost) was offset by a 3 bps tightening in the option-adjusted spread (OAS). In last week’s report, we recommended favoring Agency MBS over Aaa, Aa and A-rated corporate bonds.6 We have three main reasons for this recommendation. First, expected compensation is competitive. The conventional 30-year MBS OAS is now 57 bps. This is above the pre-crisis average (Chart 4), and only 4 bps below the spread offered by a Aa-rated corporate bond. Aaa, Aa and A-rated corporate bond spreads also all look expensive relative to our targets. Second, risk-adjusted compensation heavily favors MBS. The 12-month breakeven spread for a conventional 30-year MBS is 21 bps. This compares to 6 bps, 8 bps and 12 bps for Aaa, Aa and A-rated corporates, respectively. Finally, the macro environment for MBS remains supportive. Mortgage lending standards have barely eased since the financial crisis (bottom panel), and most people have already had at least one opportunity to refinance their mortgage. This burnout will keep refi activity low, and MBS spreads tight (panel 2), going forward. Government-Related: Underweight Chart 5Government-Related Market Overview The Government-Related index outperformed the duration-equivalent Treasury index by 10 basis points in September, bringing year-to-date excess returns up to +163 bps. September returns were concentrated in the Foreign Agency sub-sector. These securities outperformed the Treasury benchmark by 55 bps on the month, bringing year-to-date excess returns up to +197 bps. Sovereign bonds underperformed duration-equivalent Treasuries by 6 bps in September, dragging year-to-date excess returns down to +436 bps. Local Authority and Domestic Agency debt underperformed by 1 bp and 2 bps on the month, respectively. Meanwhile, Supranationals bested the Treasury benchmark by a single basis point. Sovereign debt remains very expensive relative to equivalently-rated U.S. corporate credit (Chart 5). While the sector would benefit if the Fed’s dovish pivot eventually results in a weaker dollar, U.S. corporate bonds would also perform well in such an environment. Given the much more attractive starting point for U.S. corporate bond spreads, we find it difficult to recommend sovereign debt as an alternative. While sovereign debt in general looks expensive. USD-denominated Mexican sovereign bonds continue to look attractive relative to U.S. corporates (bottom panel). Investors should favor Mexican sovereigns within an otherwise underweight allocation to the sector as a whole. Municipal Bonds: Overweight Chart 6Municipal Market Overview Municipal bonds underperformed the duration-equivalent Treasury index by 10 basis points in September, dragging year-to-date excess returns down to -57 bps (before adjusting for the tax advantage). We recommended upgrading municipal bonds from neutral to overweight in last week’s report.7  We based the decision on the increasing attractiveness of yield ratios, despite an underlying credit environment that remains supportive for munis. Municipal bond yields failed to keep pace with falling Treasury yields in recent months, and now look quite attractive as a result (Chart 6). The average Aaa-rated Municipal / Treasury (M/T) yield ratio rose 4% in September and is now back above 90%. This is well above the 81% average that prevailed in the late stages of the previous cycle, between mid-2006 and mid-2007. In fact, Aaa M/T yield ratios for every maturity are now above average pre-crisis levels. Though yield ratios still look best at the long-end of the Aaa curve (panel 2), we now recommend owning munis in place of Treasuries across the entire maturity spectrum. Fundamentally, state & local government balance sheets remain solid. We showed in last week’s report that our Municipal Health Monitor is in “improving health” territory, and noted that state & local government interest coverage is positive (bottom panel). Both of those trends are consistent with muni ratings upgrades continuing to outnumber downgrades going forward. Treasury Curve: Maintain A Barbell Curve Positioning Chart 7Treasury Yield Curve Overview The Treasury curve bear-steepened in September, and then bull-steepened sharply last week. All in all, the 2/10 Treasury slope is +12 bps, 12 bps steeper than it was at the end of August. The 5/30 slope is +67 bps, 10 bps steeper than at the end of August. Our fair value models (see Appendix B) continue to show that bullets are expensive relative to barbells across the entire Treasury curve. In particular, 5-year and 7-year maturities look very expensive compared to the short and long ends of the curve. Notice that the 2/5/10 butterfly spread, the spread between the 5-year bullet and a duration-matched 2/10 barbell, remains negative despite the recent 2/10 steepening (Chart 7). We have shown in prior research that the 5-year and 7-year maturities are the most highly correlated with our 12-month Fed Funds Discounter. Our discounter is currently at -74 bps, meaning that the market is priced for nearly three more Fed rate cuts during the next 12 months (top panel). We expect fewer cuts than that, and as such, think the Discounter is more likely to rise. 5-year and 7-year maturities would underperform the rest of the curve in that scenario. We also continue to hold our short position in the February 2020 fed funds futures contract. That contract is currently priced for 2 more rate cuts during the next 3 FOMC meetings. That outcome is possible, but our base case economic outlook is more consistent with 1 further cut, likely occurring this month. TIPS: Overweight Chart 8Inflation Compensation TIPS underperformed the duration-equivalent nominal Treasury index by 38 basis points in September, dragging year-to-date excess returns down to -142 bps. The 10-year TIPS breakeven inflation rate fell 3 bps in September, and then another 2 bps last week. It currently sits at 1.51%, well below levels consistent with the Fed’s target. The divergence between the actual inflation data and inflation expectations is becoming increasingly stark. Trimmed mean PCE inflation has been fluctuating around the Fed’s target for most of the year (Chart 8). However, long-maturity TIPS breakeven inflation rates remain stubbornly low, nowhere near the 2.3% - 2.5% range that is consistent with the Fed’s target. As we have pointed out in prior research, it can take time for expectations to adapt to a changing macro environment.8 That being said, the 10-year TIPS breakeven inflation rate is currently 43 bps too low according to our Adaptive Expectations Model, a model whose primary input is 10-year trailing core inflation (panel 4). It is highly likely that the Fed will have to tolerate some overshoot of its 2% inflation target in order to re-anchor inflation expectations near desired levels. We anticipate that the committee will do so, and we maintain our view that long-dated TIPS breakevens will move above 2.3% before the end of the cycle. ABS: Underweight Chart 9ABS Market Overview Asset-Backed Securities underperformed the duration-equivalent Treasury index by 2 basis points in September, dragging year-to-date excess returns down to +72 bps. The index option-adjusted spread for Aaa-rated ABS widened 2 bps on the month. It currently sits at 36 bps, very close to its minimum pre-crisis level (Chart 9). ABS also appear unattractive on a risk/reward basis, as both Aaa-rated auto loans and credit cards have moved into the “Avoid” quadrant of our Excess Return Bond Map (Appendix C). The Map uses each bond sector’s spread, duration and volatility to calculate the likelihood of earning or losing 100 bps of excess return versus Treasuries on a 12-month horizon. At present, the Map shows that ABS offer poor expected return for their level of risk. In addition to poor valuation, the ABS sector’s credit fundamentals are shifting in a negative direction. Household interest payments continue to trend up, suggesting a higher delinquency rate in the future (panel 3). Meanwhile, senior loan officers continue to tighten lending standards for both credit cards and auto loans. Tighter lending standards usually coincide with rising delinquencies (bottom panel). All in all, the combination of poor value and deteriorating credit quality leads us to recommend an underweight allocation to consumer ABS. Non-Agency CMBS: Neutral Chart 10CMBS Market Overview Non-Agency Commercial Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 9 basis points in September, bringing year-to-date excess returns up to +227 bps. The index option-adjusted spread for non-agency Aaa-rated CMBS held flat on the month, before widening 4 bps last week. It currently sits at 75 bps, below average pre-crisis levels but above levels seen in 2018 (Chart 10). The macro outlook for commercial real estate is somewhat unfavorable, with lenders tightening loan standards (panel 4) amidst falling demand (bottom panel). Commercial real estate prices have accelerated of late, but are still not keeping pace with CMBS spreads (panel 3). Despite the poor fundamental picture, our Excess Return Bond Map shows that CMBS offer a reasonably attractive risk/reward trade-off compared to other bond sectors (see Appendix C). Agency CMBS: Overweight Agency CMBS outperformed the duration-equivalent Treasury index by 2 basis points in September, bringing year-to-date excess returns up to +90 bps. The index option-adjusted spread held flat on the month, before widening by 5 bps last week. It currently sits at 61 bps. The Excess Return Bond Map in Appendix C shows that Agency CMBS offer high potential return compared to other low-risk spread products. Appendix A - The Golden Rule Of Bond Investing We follow a two-step process to formulate recommendations for bond portfolio duration. First, we determine the change in the federal funds rate that is priced into the yield curve for the next 12 months. Second, we decide – based on our assessments of the economy and Fed policy – whether the change in the fed funds rate will exceed or fall short of what is priced into the curve. Most of the time, a correct answer to this question leads to the appropriate duration call. We call this framework the Golden Rule Of Bond Investing, and we demonstrated its effectiveness in the U.S. Bond Strategy Special Report, “The Golden Rule Of Bond Investing”, dated July 24, 2018, available at usbs.bcaresearch.com. Chart 11 illustrates the Golden Rule’s track record by showing that the Bloomberg Barclays Treasury Master Index tends to outperform cash when rate hikes fall short of 12-month expectations, and vice-versa. Chart 11The Golden Rule's Track Record At present, the market is priced for 74 basis points of cuts during the next 12 months. We anticipate fewer rate cuts over that time horizon, and therefore anticipate that below-benchmark portfolio duration positions will profit. We can also use our Golden Rule framework to make 12-month total return and excess return forecasts for the Bloomberg Barclays Treasury index under different scenarios for the fed funds rate. Excess returns are relative to the Bloomberg Barclays Cash index. To forecast total returns we first calculate the 12-month fed funds rate surprise in each scenario by comparing the assumed change in the fed funds rate to the current value of our 12-month discounter. This rate hike surprise is then mapped to an expected change in the Treasury index yield using a regression based on the historical relationship between those two variables. Finally, we apply the expected change in index yield to the current characteristics (yield, duration and convexity) of the Treasury index to estimate total returns on a 12-month horizon. The below tables present those results, along with 95% confidence intervals. Excess returns are calculated by subtracting assumed cash returns in each scenario from our total return projections. Appendix B - Butterfly Strategy Valuation The following tables present the current read-outs from our butterfly spread models. We use these models to identify opportunities to take duration-neutral positions across the Treasury curve. The following two Special Reports explain the models in more detail: U.S. Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com U.S. Bond Strategy Special Report, “More Bullets, Barbells And Butterflies”, dated May 15, 2018, available at usbs.bcaresearch.com Table 4 shows the raw residuals from each model. A positive value indicates that the bullet is cheap relative to the duration-matched barbell. A negative value indicates that the barbell is cheap relative to the bullet. Table 5 scales the raw residuals in Table 4 by their historical means and standard deviations. This facilitates comparison between the different butterfly spreads. Table 6 flips the models on their heads. It shows the change in the slope between the two barbell maturities that must be realized during the next six months to make returns between the bullet and barbell equal. For example, a reading of +48 bps in the 5 over 2/10 cell means that we would only expect the 5-year to outperform the 2/10 if the 2/10 slope steepens by more than 48 bps during the next six months. Otherwise, we would expect the 2/10 barbell to outperform the 5-year bullet. Table 4Butterfly Strategy Valuation: Raw Residuals In Basis Points (As of October 4, 2019) Table 5Butterfly Strategy Valuation: Standardized Residuals (As of October 4, 2019) Table 6 Appendix C - Excess Return Bond Map The Excess Return Bond Map is used to assess the relative risk/reward trade-off between different sectors of the U.S. fixed income market. The Map employs volatility-adjusted breakeven spread analysis to show how likely it is that a given sector will earn/lose money during the subsequent 12 months. The Map does not incorporate any macroeconomic view. The horizontal axis of the Map shows the number of days of average spread widening required for each sector to lose 100 bps versus a position in duration-matched Treasuries. Sectors plotting further to the left require more days of average spread widening and are therefore less likely to see losses. The vertical axis shows the number of days of average spread tightening required for each sector to earn 100 bps in excess of duration-matched Treasuries. Sectors plotting further toward the top require fewer days of spread tightening and are therefore more likely to earn 100 bps of excess return. Chart 12Excess Return Bond Map (As Of October 4, 2019) Ryan Swift, U.S. Bond Strategist rswift@bcaresearch.com Footnotes 1 Please see U.S. Bond Strategy Weekly Report, “Corporate Bond Investors Should Not Fight The Fed”, dated September 17, 2019, available at usbs.bcaresearch.com 2 For more details on how we arrive at our spread targets please see U.S. Bond Strategy Weekly Report, “The Value In Corporate Bonds”, dated February 19, 2019, available at usbs.bcaresearch.com 3 Please see U.S. Bond Strategy Weekly Report, “Corporate Bond Investors Should Not Fight The Fed”, dated September 17, 2019, available at usbs.bcaresearch.com 4 The 12-month breakeven spread is the spread widening required to break even with a duration-matched position in Treasuries on a 12-month horizon. It can be approximated by OAS divided by duration. 5 For more details on how we arrive at our spread targets please see U.S. Bond Strategy Weekly Report, “The Value In Corporate Bonds”, dated February 19, 2019, available at usbs.bcaresearch.com 6 Please see U.S. Bond Strategy Weekly Report, “Two Themes And Two Trades”, dated October 1, 2019, available at usbs.bcaresearch.com 7 Please see U.S. Bond Strategy Weekly Report, “Two Themes And Two Trades”, dated October 1, 2019, available at usbs.bcaresearch.com 8 Please see U.S. Bond Strategy Weekly Report, “Adaptive Expectations In The TIPS Market”, dated November 20, 2018, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation
ハイライト コーポレート債:高い企業債務残高は次の景気後退期にコーポレート債投資家にとって問題となるが、インフレ圧力が高まり金融政策が引き締めに転じるまではスプレッドはそれに反応しない。米国債に対してコーポレート債をオーバーウェイトで保ちつつ、Baaおよびハイイールドのクレジット層を優先する。 MBS: エージェンシーMBSスプレッドは高格付け(Aaa、Aa、A)のコーポレート債と競合し、リスク調整後ではさらに魅力的に見える。ポートフォリオのAaa、Aa、A格付けのコーポレート債をエージェンシーMBSにスワップすることを推奨する。 ミュニシパル債: ミュニシパル/米国債イールド比の最近の戻りを踏まえ、ミュニシパル債の評価をニュートラルからオーバーウェイトに引き上げるべきである。ミュニシパルの中では、利回りが最も魅力的な長期のAaa格付け債を引き続き優先すべきである。 特集 先週、BCAの年次投資カンファレンスに参加した。イベントは常に専門家パネリストの話を聞き、クライアントが最も関心を寄せている課題を知る良い機会を提供する。何よりも、複数のプレゼンテーションや参加者との会話で2つのテーマが繰り返し浮かび上がった: 大きな企業債務残高 過小評価されたインフレリスク 私たちはこの2つの間に強い関連性を見ている。 企業債務について パネリストや参加者のコンセンサスは我々の見解と非常に一致していた:高レバレッジのバランスシートは次のデフォルトサイクルでコーポレート債投資家にとって問題になるが、それがいつ起きるかを決定する助けにはならない。 チャート1は、負債対利益比率が持続的に上昇しているにもかかわらず企業倒産は抑制されていることを示している。私たちは最近のレポートでこの乖離の理由を検討し、金融緩和的な金融政策が金利コストを低く抑え、銀行に満期を迎える債務をロールオーバーする自信を与えることでデフォルト率を抑えていると結論付けた。1 本質的には、FRBがより引き締め的な政策姿勢に転じるまでは銀行は企業のバランスシート悪化の兆候を見過ごすだろう。 チャート 1 企業のバランスシートは悪化しているが、デフォルトは低い Corporate Balance Sheets Are In Bad Shape, But Defaults Are Low Corporate Balance Sheets Are In Bad Shape, But Defaults Are Low インフレについて ここでインフレが重要になる。FRBは長年の低インフレにより投資家がインフレが再来しないと確信しているため、現在も緩和的な金融政策を運営している。その結果、10年物TIPSのブレークイーブン・インフレーション率はわずか1.53%であり、FRBのターゲットと整合する2.3% - 2.5%の範囲を大きく下回っている。 FRBはインフレ期待の再固定化という目標を達成するまで緩和的な政策姿勢を維持しなければならない。そうなって初めて金融政策は引き締めに転じ、企業のデフォルトサイクルのリスクが高まる。我々は以前より、10年物TIPSのブレークイーブン・インフレーション率が2.3%以上になればコーポレートクレジットに対してより慎重になるだろうと考えている。 コアインフレがFRBのターゲット付近で何ヶ月も連続して示されるまで、投資家がそれが永続すると思い始めるには時間がかかるかもしれない。 多くのカンファレンスパネリストはインフレリスクが現在過小評価されていると考えており、我々もフィリップス曲線の死を宣言するには時期尚早だという点では同意するが、インフレ期待が我々の目標レンジ2.3% - 2.5%に到達するまでにはまだ時間を要すると予想している。過去の研究で示したように、インフレ期待は実際のインフレデータの変化に対してゆっくりとしか順応しない。2  現時点で、我々の適応的期待モデルが示す10年物TIPSの公正価値水準はわずか1.94%(チャート 2)である。インフレが現在の水準付近で推移し続ければこの公正価値は上昇するだろうが、そのプロセスには時間がかかる。言い換えれば、コアインフレがFRBのターゲット付近で何ヶ月も出続けるまで、投資家がそれが永続すると信じ始めるには時間がかかるだろう。 チャート 2 適応的期待モデル Adaptive Expectations Model Adaptive Expectations Model チャート 3 インフレは目標からそれほど遠くない Inflation Not Far From Target Inflation Not Far From Target 適応プロセスには時間がかかるかもしれないが、インフレはすでにFRBの目標にかなり近いことに注意することが重要である。トレイリング12か月のトリム平均PCEインフレ率は8月時点で1.96%、年率ベースのコアPCEは1.77%であった(チャート 3)。トリム平均インフレは金融危機以降、他のインフレ指標よりも安定しており、コアPCEは時間をかけてトリム平均に近づく傾向がある。      企業債務とインフレについて 我々の見解では、高い企業債務と過小評価されたインフレリスクという2つのテーマは密接に結び付いている。景気回復に非常に長い時間を要したため、インフレは長期にわたり低位にあり、FRBは緩和的な政策姿勢を維持せざるを得なかった。その緩和的姿勢は銀行の貸し出しを促し、企業の債券発行を促進した。最終的にインフレ圧力が高まり、FRBの政策が引き締めに転じると、脆弱な企業バランスシートが露呈する。そうなって初めてコーポレートスプレッドは大幅に拡大するだろう。 それまでは、企業スプレッドがインフレ圧力が予想より早く出現するリスクに対して十分な補償を提供しているかが重要な問題となる。現時点では、リスク/リワードのトレードオフは下位クレジット層でより魅力的であるという但し書き付きで、十分な補償を提供していると考えている。 12か月のハイイールドのブレークイーブン・スプレッドは非常に魅力的で、歴史的中央値を大きく上回っている(チャート 4)。しかし投資適格内では、Baa格付け層のみが十分な補償を提供していると見ている(チャート 4、下段)。Aaa、Aa、A格付けのコーポレート債を保有するよりも良い代替案がある。次節で議論するように。 チャート 4 コーポレート債のバリュエーション Corporate Bond Valuation Corporate Bond Valuation 高格付けコーポレートクレジットよりエージェンシーMBSを推奨 チャート 5 MBSは高格付けのコーポレート債より魅力的 MBS More Attractive Than High-Rated Corporate Bonds MBS More Attractive Than High-Rated Corporate Bonds 前述の通り、A格以上の投資適格コーポレート債は現行のスプレッド水準ではあまり期待される補償を提供していない。実際、我々の以前の調査はそれらのスプレッドがすでに循環的なターゲットを下回っていることを指摘している。3 しかし好材料として、通常の30年エージェンシーMBSの平均オプション調整スプレッド(OAS)はここ数か月で拡大し、高格付けのコーポレートクレジットに対する魅力的な代替となっている。投資家は3つの理由からポートフォリオのAaa、Aa、A格付けコーポレートクレジットをエージェンシーMBSにシフトすることを推奨する。 1) 期待補償は競争力がある 通常の30年エージェンシーMBSの平均OASは現在52ベーシスポイントに達している。これはAa格付けコーポレート債の平均OASよりわずか6ベーシスポイント低く、A格付けよりは37ベーシスポイント低い(チャート 5 2) リスク調整後の補償は優れている MBSスプレッドはリスクプロファイルを考慮するとさらに魅力的に見える。具体的には、今年MBS指数の平均デュレーションが急低下した一方で、投資適格コーポレート債指数の平均デュレーションは上昇したことを考慮した場合である(チャート 5、パネル2)。実際、MBS指数の平均デュレーションはわずか2.9であるのに対し、A格コーポレート債は7.8である。これは、投資家が損失を被るにはMBSスプレッドが今後12か月で18ベーシスポイント拡大する必要があるのに対し、A格スプレッドはわずか11ベーシスポイント拡大すればよいことを意味する(チャート 5、下段)。 投資家はポートフォリオのAaa、Aa、A格付けコーポレートクレジットをエージェンシーMBSにシフトすることを推奨する。 MBSは負のコンベクシティを示すため、利回りが低下するとデュレーションが下がる。対照的に、ノンコーラブルの投資適格コーポレート債は正のコンベクシティを持ち、デュレーションが上昇している。これは、他の条件が同じであれば、利回りが大幅に低下した後に負のコンベクシティを持つ証券の方がリスク調整後の面で魅力的に見え始めることを意味する。これはまた、負のコンベクシティを持つハイイールドのコーポレート債が現在、投資適格コーポレート債よりもはるかに魅力的に見える主な理由でもある。4 興味深いことに、MBSの指数デュレーションが急低下した直近の2015/16年には、MBSはコーポレート債と比較してそれほど魅力的に見えなかった。それは当時コーポレート債スプレッドも拡大していたからである。今回は、MBS指数デュレーションが急落する間にコーポレート債スプレッドは安定している。米国債利回りにさらなる下値余地があると考えない限り、エージェンシーMBSは良い買いに見える。5 3) マクロリスクは低い 前述のとおり、我々はまだコーポレート債に対するマクロリスクを警鐘を鳴らす段階にはないが、エージェンシーMBSを取り巻くマクロリスクについてはさらに懸念が少ない。モーゲージの借り換え活動はMBSスプレッドの最も重要なマクロドライバーであり、長期にわたり比較的低位にとどまるはずである。現在のような低いモーゲージ金利では、ほとんどの住宅所有者がすでに借り換えの機会を得ているため、借り換えの消耗(refi burnout)は非常に高い。今年はモーゲージ金利が大きく低下したにもかかわらず借り換え活動は小幅のスパイクにとどまったことからも明らかである(チャート 6)。 チャート 6 抑制された借り換え活動は名目スプレッドを低位に保つ Muted Refi Activity Will Keep Nominal Spreads Low Muted Refi Activity Will Keep Nominal Spreads Low チャート 6はまた、名目MBSスプレッドが借り換え活動と高い相関を持ち、現在歴史的なタイト付近にあることを示している。このスプレッドはOAS(MBS投資家の期待リターンの代理)と前払(プレペイメント)活動によって失われると予想されるスプレッド部分の両方を含む。OASが歴史と比べてやや高めである一方で名目スプレッド全体が低位にあるということは、MBSが前払損失に対するバッファをほとんど織り込んでいないことを意味する。マクロの背景を考えると、これは妥当であるように思われる。 借り換えリスクに加えて、未償還モーゲージの信用クオリティが依然として非常に高いことにも注意する。新規モーゲージの中央値FICOスコアは金融危機以降ほとんど低下していない(チャート 7)。さらに、危機後期間の大部分でモーゲージ貸出基準は緩和されてきたが、FRBの7月のシニアローンオフィサー調査では、貸出基準が2005年以降平均より厳しいとする銀行が、基準が緩いとする銀行より多いと報告している。 住宅活動データの改善は一般にモーゲージ金利を押し上げ、それが借り換え活動を制約する。 最後に、住宅活動が大きく弱化する懸念はほとんどない。私たちが追跡する6つの主要な住宅活動データ系列はすべて、今年のモーゲージ金利低下以降で大きく回復している(チャート 8)。住宅活動データの改善は一般にモーゲージ金利を上昇させ、それが借り換え活動を制限する。 チャート 7 モーゲージ貸出基準はタイト Mortgage Lending Standards Are Tight Mortgage Lending Standards Are Tight チャート 8 住宅活動が回復 Housing Activity Hooking Up Housing Activity Hooking Up   結論: エージェンシーMBSスプレッドは高格付け(Aaa、Aa、A)のコーポレート債と競合し、リスク調整後ではさらに魅力的に見える。ポートフォリオのAaa、Aa、A格付けコーポレート債をエージェンシーMBSにスワップすることを推奨する。 ミュニシパル債の格上げ 7月23日、我々はミュニシパル債のエクスポージャーをオーバーウェイトからニュートラルに引き下げるよう投資家に助言した。6 理由は純粋にバリュエーションによるものである。即時のミュニシパル信用の悪化の兆候は見えなかったが、利回りが代替案に対して単純に低すぎると指摘した。 現在、同様に即時の信用悪化の兆候は見られない。実際、ミュニシパル債の格付けのアップグレードはダウングレードを上回り続け、当社のミュニシパルヘルスモニターは「健康改善」領域にあり、州および地方政府の利払い余力は強い(チャート 9)。7 チャート 9 ミュニシパルの信用クオリティは懸念事項ではない Muni Credit Quality Is Not A Concern Muni Credit Quality Is Not A Concern しかし違いは、イールド比が8月初旬以来劇的に回復し、ミュニシパル債が再び魅力的になったことである(チャート 10)。 チャート 10 ミュニシパル債が再び魅力的に Munis Attractive Once Again Munis Attractive Once Again 結論: ミュニシパル/米国債イールド比の最近の戻りを踏まえ、投資家はミュニシパル債をニュートラルからオーバーウェイトに格上げすべきである。ミュニシパルの中では、利回りが最も魅力的な長期のAaa格付け債を引き続き優先するべきである。   Ryan Swift, 米国債ストラテジスト rswift@bcaresearch.com 脚注 1 Please see U.S. Bond Strategy Weekly Report, “Corporate Bond Investors Should Not Fight The Fed”, dated September 17, 2019, available at usbs.bcaresearch.com 2 Please see U.S. Bond Strategy Weekly Report, “Adaptive Expectations In The TIPS Market”, dated November 20, 2018, available at usbs.bcaresearch.com 3 Please see U.S. Bond Strategy Weekly Report, “Corporate Bond Investors Should Not Fight The Fed”, dated September 17, 2019, available at usbs.bcaresearch.com 4 ハイイールド債指数は大半のハイイールドクレジットが組み込まれたコールオプションを有しているため負のコンベクシティを持つ。投資適格コーポレート債はノンコーラブルである傾向がある。 5 Please see U.S. Bond Strategy Weekly Report, “What’s Up In U.S. Money Markets?”, dated September 24, 2019, available at usbs.bcaresearch.com 6 Please see U.S. Bond Strategy Weekly Report, “A Message To The TIPS Market”, dated July 23, 2019, available at usbs.bcaresearch.com 7 For further details on our Municipal Health Monitor please see U.S. Bond Strategy Special Report, “Trading The Municipal Credit Cycle”, dated October 18, 2016, available at usbs.bcaresearch.com フィクスト・インカム部門のパフォーマンス 推奨ポートフォリオ仕様
特別レポート 投資家は、学術面・実務面の双方でバリューとグロースのストラテジーを評価する際に、定義と方法論に特に注意を払うべきです。 バリュー投資家は米国以外の市場、特に新興国のスモールキャップ・ユニバースに注力すべきです。 グロース投資家はラージキャップ、特に米国のラージキャップ・ユニバースに注力すべきです。 スモールキャップ投資家はバリューに注力すべきです。 ラージおよびミッドキャップの投資家は、戦略的にバリューとグロースの間で賭けをしてはなりません。タクティカルなスタイル・ローテーションは、評価差が極端な水準に達した場合にのみ行うべきです。  GAAはバリュー対グロースに関して中立の立場を維持していますが、スタイルの傾きを実装する際にはセクター・ポジショニング(景気敏感株対ディフェンシブ株、金融株対情報技術・ヘルスケア)および国別ポジショニング(ユーロ圏対米国)を用いることを好みます。 スタイルによる投資は投資そのものと同じくらい古い考え方です。バリュー対グロースは、特に最近数週間の急激なスタイル反転を受けて、当社のクライアントからよく問われるテーマの一つです。本レポートでは、バリュー対グロースに関するよくある質問にいくつか答えることを試みます。これらの質問を5つのセクションに分けて整理しました: まず、学術界が主にファマ=フレンチの枠組みを使用してきたため、バリュー、グロース、及びサイズが時間とともにどのように相互作用してきたかを見るために、ファマ=フレンチのバリュー・グロース・ポートフォリオの93年分の歴史を見ます。 次に、実務家が主にパフォーマンス・ベンチマークとして使う商業的指数であるエスアンドピー、ラッセル、およびエムエスシーアイを含む、米国のスタイル指数がどれだけ比較可能かを見ます。 第三に、エムエスシーアイのバリュー・グロース指数群を用いて(MSCIはグローバル・カバレッジ下の各市場についてバリュー・グロース指数を作成する唯一の指数提供者です)、国際市場が米国と同様のバリュー―グロースのパフォーマンス周期を共有しているかどうかを調査します。 第四に、S&Pおよびラッセルのピュア・スタイル指数を標準的な対応物と比較することにより、バリューとグロースへの純粋なエクスポージャーが実際にバリュー―グロースのパフォーマンス差を改善するかどうかを検証します。 最後に、投資結論のセクションでGAAのスタイル傾斜へのアプローチを示します。 1. 長期的にバリューはグロースをアウトパフォームするというのは本当か? バリュー・プレミアムの存在を支持する学術的証拠は圧倒的です。1 学術的には、「バリュー・プレミアム」はHML(high minus low)ファクタープレミアム、またはバリューのアウトパフォーマンスとも呼ばれ、最も割安な銘柄と最も割高な銘柄のリターン差として定義されます。ファマ=フレンチは評価基準としてブック・トゥ・プライスを単独で用いましたが2、多くの研究者はブック・トゥ・プライスを利益対価格、売上対価格、配当利回り3など他の評価指標と組み合わせています。 また、「大型株ではバリューのアウトパフォーマンスはほとんど存在しない」という学術的証拠もあります。4 さらに、2014年にファマとフレンチは「A Five-Factor Asset Pricing Model」というワーキングペーパーを発表し、大きな議論を呼びました。そこでは「HMLは冗長なファクターである」と示されており、1963年から2013年の米国データに基づいて「平均的なHMLリターンは(サイズ、収益性、投資パターンなどの)他のファクターへのHMLのエクスポージャーによって説明される」と述べられています。5 資産所有者およびアロケーターは、バリューとグロースのベンチマーク選定時に特に注意を払うべきです。 定量モデルでない実務家、特にロングオンリーの投資家にとって、バリューとグロースは学術的な“バリューファクター”と原則は共有しているものの別個の投資スタイルです。これらの定義はS&Pダウ・ジョーンズ、FTSEラッセル、エムエスシーアイがバリューとグロースの指数をどのように定義しているかに示されるように様々です(次節の7ページ参照)。一般に、バリュー株は安く、平均以下の収益成長の可能性を持ち、グロース株は平均以上の収益成長の可能性を持つが非常に割高であるとされます。しかし、商業的指数プロバイダーが公表する指数は非常に長い歴史を持つわけではありません。幸いにも、ファマ=フレンチは公表ウェブサイト上でバリュー・グロース・サイズのポートフォリオを提供しています。6 表 II-1 は、1926年7月から2019年6月までの93年間にわたり、よく知られたファマ=フレンチ方式に基づく米国のバリューポートフォリオが、イコールウェイト・および時価総額加重のいずれであっても、そのグロース対応よりも高いリターンを上げてきたことを示しています。特に目立つのは、イコールウェイトのスモールキャップ・バリューが絶対リターンで年率10%超でグロースを上回り、リスク調整後リターンでもグロースを2倍以上上回っている点です。 Table II-1 Fama-French Value-Growth-Size Portfolio Performance* 2019年10月 2019年10月 一部の報道は、バリュー株は平均して「より大きく確立された企業」であるため「ボラティリティが低い」と主張してきました。7 これは特定の期間では当てはまるかもしれません。しかしファマ=フレンチのカバーする93年間では、この一般的な見解は支持されません。実際、ラージおよびスモールの両ユニバースにおいて、どのように構成銘柄をウェイト付けしても、バリュー・ポートフォリオは一貫してグロース・ポートフォリオよりも高いボラティリティを示しています。ただし、超過リターンはその高いボラティリティを相殺しており、4つのペアのうち3つでリターンが勝っている例が見られます。例外は時価総額加重のラージキャップのグロースで、これはバリューよりもはるかに低いボラティリティのために若干高いリスク調整後リターンを示しています。非常に長期的な視点から見ると、バリューのアウトパフォーマンスはより高いリスクを取ることから生じていると言えます。 さらに詳しく見ると、バリューがグロースに対して長期的に優位だった主な期間はファマ=フレンチの93年サンプルの最初の80年に集中していることがわかります。しかし近年、2007年以降では、4つのファマ=フレンチのバリュー―グロースペアのうち3つでバリューがグロースに対して大きく劣後しており、唯一の例外はイコールウェイトのスモールキャップ・バリュー―グロースペアです。これは表 II-2に示されています。イコールウェイトのスモールキャップ・バリューは最新の期間でもグロースを上回っていますが、勝率は最初の80年の76%から54%に低下し、年間平均アウトパフォーマンスの大きさも最初の80年の12.5%からわずか1.3%に落ち込んでいます。 Table II-2 The Fight Between Value And Growth* 2019年10月 2019年10月 統計分析は選択する期間に敏感です。バリューとグロースは時間とともにどのように推移してきたのでしょうか? チャート II-1 は、バリュー、グロース、そしてサイズ間の長期的なダイナミクスを示しています。以下の結論が明確です: Chart II-1 Fama-French Value-Growth-Size Peformance Dynamics* Fama-French バリュー・グロース・サイズ パフォーマンスの動態* Fama-French バリュー・グロース・サイズ パフォーマンスの動態* バリュー投資家はラージキャップよりスモールキャップを好むべきであり、グロース投資家は逆にラージキャップをスモールキャップより好むべきです。ただし、成功の可能性はずっと低くなります(チャート II-1、パネル1)。 スモールキャップ投資家はグロースよりバリューを好むべきです(パネル2)。 ラージキャップ領域でのバリューのアウトパフォーマンス(パネル3)は、スモールキャップ領域(パネル2)ほど強くありません。 ファマ=フレンチは、CRSP(Center for Research In Security Prices)上のNYSE全銘柄の中央値時価総額に基づいてスモールとラージを定義し、そのNYSE中央値サイズを用いてNYSE、AMEX、NASDAQ(1972年以降)をスモール・グループとラージ・グループに分割します。バリューとグロースの分割はブック・トゥ・プライスに基づき、下位30%がグロース、上位30%がバリューに分類されます。興味深いことに、スモールキャップのバリューとスモールキャップのグロースは、全ユニバースの中でごく小さな割合しか占めていないことがチャート II-2AとII-2Bに示されています。 バリュー株の平均時価総額は、ラージ・スモールの両ユニバースでグロース株の約半分です(チャート II-2AとII-2Bのパネル3)。これも一部メディアの「バリュー株はより大きく確立された企業である」という主張を支持するものではありません。むしろ、すべての投資家がスモールキャップ・バリューを好むべきだという主張をさらに裏付けます。残念ながら「スモールキャップ・バリュー」は非常に小さなユニバースです。2019年6月時点でCRSPにおける米国株式市場の時価総額合計は26.2兆米ドルであり、スモールキャップ・バリューはわずか1.5%(約3,830億ドル)にすぎません。ラージキャップ・バリューでさえ相対的に小さいウェイトで、13%(35,000億ドル)に過ぎません。 Chart II-2A Small-Cap Value-Growth Portfolios* スモールキャップ・バリュー・グロース・ポートフォリオ スモールキャップ・バリュー・グロース・ポートフォリオ Chart II-2B Large-Cap Value-Growth Portfolios* ラージキャップ・バリュー・グロース・ポートフォリオ ラージキャップ・バリュー・グロース・ポートフォリオ   米国市場は56%(2019年6月時点で14.7兆米ドル)の大きなウェイトでラージキャップ・グロース銘柄によって支配されています。これは励みになる点です。学術研究はラージキャップにおけるバリュー・プレミアムが弱いことを示しているからです。しかしラージキャップにおけるバリューの弱さは主に2007年から始まり、最初の80年間のラージキャップ・グロースに対する強さの後に生じたものでした(チャート II-1、パネル3)。 ファマ=フレンチ方式は1926年からの長い歴史があるため学術研究で広く用いられています。しかし、実務家、特にロングオンリー投資家にとっては、FTSEラッセル、エスアンドピー・ダウ・ジョーンズ、エムエスシーアイといった商業的指数がパフォーマンス・ベンチマークとしてより頻繁に使用されます。本レポートでは、米国およびグローバルにおける一連の商業的バリュー―グロース指数を研究し、バリュー―グロースのダイナミクスと資産アロケーターがそれらを意思決定プロセスに組み込む方法について光を当てます。 2. すべての米国スタイル指数は同じではない スタイル指数を提供する主要な指数プロバイダーは3社あります。FTSEラッセル(業界で最初のバリュー―グロース指数群を1987年に立ち上げた)、エスアンドピー・ダウ・ジョーンズ、エムエスシーアイです。エムエスシーアイはカバレッジ下の各株式市場ごとにバリュー―グロース指数のフルスイートを提供する唯一のプロバイダーです。3社はいずれも親指数の全構成を含む「標準」スタイル指数を提供しますが、FTSEラッセルとエスアンドピー・ダウ・ジョーンズは「ピュア」スタイル指数も提供しています。「標準」と「ピュア」スタイル指数の間には主に2つの違いがあります:1) 標準指数は時価総額加重であるのに対し、ピュア指数はスタイル・スコアに基づいてウェイト付けされる。2) 標準バリューと標準グロースは構成銘柄が重複するが、ピュア・バリューとピュア・グロースは共通の構成銘柄を持たない。 我々はスタイルの傾きをタクティカルに実装する際にセクターと国別のポジショニングを用いることを好みます。 ファマ=フレンチ方式で用いられるブック・トゥ・プライス以外に、3社はバリューとグロースの判定において異なる変数を追加しています。これらは表 II-3に示されています。これは業界のバリューとグロースに対する理解の進化を反映しています。例えばエムエスシーアイが1997年にスタイル指数を初めて導入した際はブック・トゥ・プライスのみを使用していましたが、2003年5月に現在の「マルチファクター・二次元」フレームワークに変更しました。 Table II-3 Value-Growth Index Criteria 2019年10月 2019年10月 指数構築の方法論の違いのために、米国のバリュー―グロース指数は異なる振る舞いをしてきました。エスアンドピー500、ラッセル1000、そしてエムエスシーアイの標準(ラージおよびミッド)指数は広くフォローされる機関投資家のベンチマークであり、1970年代まで遡るバックテスト履歴があります。チャート II-3 は、3つの指数プロバイダーからの相対的なバリュー/グロース・パフォーマンスのダイナミクスを、ファマ=フレンチ(時価総額加重、指数プロバイダーのアプローチと整合させるため)とともに示しています。以下の点が観察できます: Chart II-3 Which Value/Growth? バリュー/グロース、どちら? バリュー/グロース、どちら? 3つのペアのどれもがファマ=フレンチの時価総額加重バリュー/グロースと完全に同じ形には見えません。これは、ファマ=フレンチの長期にわたるバリュー/グロースポートフォリオに基づく歴史的分析を商業的指数にどのように適用できるかという疑問を投げかけます。 1975年から2000年2月までの最初のサイクルでは、3つの指数ペアはいずれも一巡し、バリューとグロースの間でフラットなパフォーマンスでした。また、エスアンドピー500とラッセル1000は相互により近い相関を示しましたが、3社はいずれもかなり似通っていました。 しかし2000年2月に始まった現在のサイクルでは、ラッセルのバリュー/グロースは他の2つよりもはるかに強く反発しました。ただし、2007年に始まった下落局面では、3つの指数は互いに一致したパフォーマンスを示しました(表 II-4参照)。 Table II-4 U.S. Style Index Performance* 2019年10月 2019年10月 さらに、エスアンドピーとラッセルの差はエスアンドピー500とラッセル1000の間だけにとどまりません。これは各時価総額セグメント全体に存在し、チャート II-4に示されています。残念ながら、エムエスシーアイは詳細なキャップ・セグメントについて1975年からの履歴を提供していません。2000年2月以降の現在のサイクルでは、エスアンドピーのバリューは2000年から2006年の間で最も小さく反発しました。なぜでしょうか? Chart II-4 Know Your Benchmark ベンチマークを把握する ベンチマークを把握する Chart II-5 Value/Growth: Russell Vs. S&P バリュー/グロース:ラッセル対エスアンドピー バリュー/グロース:ラッセル対エスアンドピー さらに調査すると、チャート II-5 に示されるようないくつかの興味深い観察が得られます。 集計レベルでは、エスアンドピー1500、ラッセル3000およびそれらのスタイル指数は、2000年2月に始まる直近のサイクルにおいて大きく一致したパフォーマンスを示しており(チャート II-5、パネル4)、指数収束の業界トレンドを反映しています。 しかし、異なる時価総額セグメントでは相違が依然顕著で、とりわけスモールキャップ領域で顕著です(パネル1)。エスアンドピー600は、バリュー・グロースの両カテゴリで一貫してラッセル2000をアウトパフォームしています。これは異なるスタイル要因に加え、ユニバース、サイズ分布、セクターエクスポージャーの違いも反映しています。これは以前のGAAのスモールキャップに関するスペシャルレポートでも説明されています。8 ラッセル2000をパフォーマンス・ベンチマークとする運用者は、単にラッセル2000とエスアンドピー600とのトータルリターン・パフォーマンスの入れ替えを行うだけでベンチマークを上回ることができるでしょう。 結論:資産所有者およびアロケーターは、バリューとグロースのベンチマークを選定する際に特に注意を払うべきです。  3. グローバルで見た場合、バリューとグロースはどのように振る舞ってきたか? エムエスシーアイはカバレッジ下の各株式市場ごとに同一の方法論でバリュー―グロース指数を作成する唯一のプロバイダーです。残念ながら、長い歴史を持つのは「標準」(すなわちラージ・ミッドキャップ)ユニバースのみで、1974年12月からのデータがあります。チャート II-6AとII-6Bは、主要な先進国(DM)と新興国(EM)市場におけるバリュー/グロースのダイナミクスを示しています。 MSCIのDMにおけるバリュー対グロースの相対的パフォーマンスは、2000年以降の最新サイクルでは米国と類似したパターンを示しますが、2000年以前の期間では大きく異なります(チャート II-6A)。EMのラージ・ミッドキャップにおけるバリュー対グロースの比率は、DMの同業他社のピークから約5年後の2012年2月までピークに達しませんでした(チャート II-6B、パネル1)。一方、EMのスモールキャップ・バリューは、ラージキャップの同等物とほぼ同時期にピークを迎えた後、2016年初めからグロースに対するアウトパフォーマンスを再開しています。 Chart II-6A Is Value Dead In DM? DMでバリューは死んだのか? DMでバリューは死んだのか? Chart II-6B Is Value Dead In EM? EM(新興市場)でバリューは死んでいるのか? EM(新興市場)でバリューは死んでいるのか?   グローバルなバリュー/グロースのダイナミクスはまた、バリュー・プレミアムがスモールキャップ領域でより顕著であることを示しています。ではなぜ多くの先進国市場でスモール・バリューがスモール・グロースに劣後してきたのでしょうか?我々の説明は、新興国ユニバースは先進国ユニバースより非効率であり、特に新興国スモールキャップ領域に専念するクオンツファンドが多くないためだというものです。加えて一般にEMのスモールキャップはDMのそれよりもずっと小さいという事実もあります。これは一般的にファクタープレミアムがEMユニバースでより顕著であるという我々の発見とも一致します。9 結論:バリュー・プレミアムは米国以外の市場、特に新興国のスモールキャップ・ユニバースでより顕著です。 4. ピュア・スタイル指数はパフォーマンスを改善するか? エスアンドピー・ダウ・ジョーンズとFTSEラッセルはピュア・バリューおよびピュア・グロースの指数を提供しています。標準のバリュー―グロース指数が親指数の約50%の時価総額をターゲットにするのに対し、ピュア・スタイル指数は最も強いバリューおよびグロースの特性を持つ銘柄のみを含みます。両者の間に重複はありません。 理論的には、ピュア・スタイル指数はスタイル・ファクターへの集中したエクスポージャーのために標準スタイルよりアウトパフォームするはずです。実際にはどうでしょうか?表 II-5は、1998年から2019年の期間について、S&Pおよびラッセルの18ペア中14ペアでは絶対リターンの面で確かにピュアが上回っていることを示しています。しかし、スタイル・ファクターへのより大きなエクスポージャーから得られた高いリターンは、18ペア中17ペアではるかに高いボラティリティから来ていることが多いです。一般にピュア・スタイルは標準スタイルよりボラティリティが高く、例外はラッセルのミッドキャップ・バリュー領域だけです。このため、リスク調整後の観点ではピュア・スタイルが必ずしも優れているとは言えません。 Table II-5 Purer Is Not Necessarily Better 2019年10月 2019年10月 チャート II-7AとII-7Bは、エスアンドピーおよびラッセル系のスタイル指数の異なるパフォーマンス・ダイナミクスを示しています。 エスアンドピー指数では、ピュア・グロースは3つの時価総額セグメントすべてで標準グロースを通期でアウトパフォームしましたが、ピュア・バリューが標準を上回ったのはエスアンドピー500だけでした。したがって、スタイル特性へのより集中したエクスポージャーはラージキャップ領域でのみバリュー―グロースの差を改善し、ミッドおよびスモールキャップのユニバースではむしろバリュー―グロースの差を悪化させました(チャート II-7A)。 Chart II-7A S&P Pure Styles* S&P ピュア・スタイルズ* S&P ピュア・スタイルズ* Chart II-7B Russell Pure Styles* ラッセル・ピュア・スタイルズ* ラッセル・ピュア・スタイルズ*   ラッセル指数の場合、2000年のテックバブルに向けてピュア・グロース指数に多くのテック株が含まれていたことが明らかです。ピュア・グロースはバブル前に標準グロースよりも大きく上昇し、バブル崩壊後にはより急激に下落しました。全体として、スモールキャップ領域だけがスタイル要因へのより集中したエクスポージャーによってバリュー―グロースの差が改善されました。しかしこの改善は、ピュア・スタイルが標準指数に対してアウトパフォームしたからではありません。実際には、スモールキャップのピュア・バリューとピュア・グロースの両方が標準対応物に劣後しており、ピュア・グロースの劣後がより大きかったのです(チャート II-7Bおよび表 II-5参照)。 5. 投資に関する結論 バリューとグロースは非常に異なる意味を持ち、非常に異なる振る舞いをすることがあります。投資家は、スタイル指数やストラテジーを学術面・実務面の双方で評価する際に、定義と方法論に特に注意を払うべきです。 投資家の運用メンダートによっては、以下を推奨します: バリュー投資家は米国以外の市場、特に新興国のスモールキャップ・ユニバースに注力すべきです。 グロース投資家はラージキャップ、特に米国のラージキャップ領域に注力すべきです。 スモールキャップ投資家はバリューに注力すべきです。 ラージおよびミッドキャップの投資家は戦略的にバリューとグロースの間で賭けをしてはなりません。タクティカルなスタイル・ローテーションは評価差が極端な水準に達した場合にのみ行うべきです。 価格対簿価(Price-to-book)は、学術家と実務家の双方がバリューとグロースを決定する際に用いる唯一の共通変数です。しかし、系統的リターン予測子としての実績は乏しく、チャート II-8AとII-8Bのパネル2に示されているように予測力は低いです。もう一つ長期データがある因子は配当利回りですが、これの予測力は価格対簿価よりさらに悪いです(パネル3)。 Chart II-8A Valuation Is A Poor Timing Tool In The U.S. バリュエーションは米国ではタイミングを測るための有効なツールではない。 バリュエーションは米国ではタイミングを測るための有効なツールではない。 Chart II-8B Valuation Is A Poor Timing Tool Globally バリュエーションはタイミングツールとしては不向きだ バリュエーションはタイミングツールとしては不向きだ   多くの因子が学術家と実務家の双方によって価格対簿価と併用され、バリューとグロースのローテーションのタイミング取りに使われてきました。しかし、その結果はまちまちです。過去に正しく予測した回帰モデルが将来も機能するとは限りません。例えば、1982年1月から1999年10月のデータを用いた評価スプレッドと利益成長スプレッドに基づく回帰モデルは、2000年初めに始まるバリューのリバウンドを正しく予測しました10が、過去数年間にわたるバリュー・ファンドの普遍的な苦戦はこのモデルが多くの誤ったシグナルを出していた可能性を示唆しています。 チャート II-9 は、バリューとグロースのローテーションのタイミング取りに回帰モデルを用いることがいかに難しいかを示しています。バリューとグロースのリターン差(その後の60ヶ月リターン)と相対的な価格対簿価との間で単純回帰を実施しました。1974年12月から2019年7月までのデータについて、エムエスシーアイ・ワールドの決定係数は0.38、米国では0.09でした。振り返ると、どちらのモデルも2000年初めに始まるバリューのアウトパフォーマンスを予測していました。しかし実際値とフィット値の乖離は2000年よりずっと前から開き始めており、1998年末には既に前のサイクルの安値よりも広い乖離になっていたにもかかわらず、バリューがグロースに劣後し続けたため乖離はさらに拡大しました。 Chart II-9 How Good Is The Fit? 適合度はどれほど良いですか? 適合度はどれほど良いですか? 投資家は現在これらのモデルに基づいて何をすべきでしょうか?乖離は大きいですが、2000年初めほど大きくはありません。12年以上の劣後の後、どの時点で投資家はバリューへシフトし始めるべきでしょうか? 我々はしばしば、スタイルの傾きを実装するためにセクターと国別のポジショニングを用いることを好むと書いてきました。11, 12 この好みは変わっていません。 バリューとグロースの指数は時間とともにセクター・ティルトを持ちます。現在、エスアンドピー・ダウ・ジョーンズのラージおよびミッドキャップ・バリュー指数は、グロース指数と比較して明確に金融株のオーバーウェイトであり、情報技術とヘルスケアに対してアンダーウェイトです(表 II-6)。 Table II-6 Sector Bets In Value And Growth Indices* 2019年10月 2019年10月 Chart II-10 Prefer Sector And Country Positioning To Style セクターおよびカントリー・ポジショニングをスタイル・ティルトより重視する セクターおよびカントリー・ポジショニングをスタイル・ティルトより重視する 我々はバリューとグロースの間で中立の立場を取っていますが、米国とユーロ圏の間の国別株式アロケーションや、景気敏感株とディフェンシブ株、さらに金融株と情報技術株間のセクター配分を変更する場合にはこの見解を変える可能性があります(チャート II-10)。 Xiaoli Tang Associate Vice President​​​​​​​ Global Asset Allocation   脚注 1     Antti Ilmanen, Ronen Israel, Tobias J. Moskowitz, Ashwin Thapar, Franklin Wang, “Factor Premia and Factor Timing: A Century of Evidence,” AQR Working Paper, July 2, 2019. 2     Eugene F. Fama and Kenneth R. French, “Common risk factors in the return on stocks and bonds,” Journal of Financial Economics, 33 (1993). 3     Clifford Asness, Andrea Frazzini, Ronen Israel and Tobias Moskowitz, “Fact, Fiction, and Value Investing,” The Journal of Portfolio Management, Vol. 42 No.1, Fall 2015. 4     Ronen Israel and Tobias J. Moskowitz, “The Role of Shorting, Firm Size and Time on Market Anomalies,” Journal of Financial Economics, Vol 108, Issue 2, May 2013 5      Eugene F. Fama and Kenneth R. French, “A Five-Factor Asset Pricing Model,” Working Paper, University of Chicago, September 2014. 6             Fama-French value-growth-size portfolios. 7     Mark P. Cussen, “Value or growth Stocks: Which are Better?” Investopedia, Jun 25, 2019. 8     Please see Global Asset Allocation Special Report titled “Small Cap Outperformance: Fact or Myth?” dated April 7, 2017, available at gaa.bcaresearch.com. 9     Please see Global Asset Allocation Special Report titled, “Is Smart Beta A Useful Tool In Global Asset Allocation?” dated July 8, 2016, available at gaa.bcaresearch.com. 10    Clifford S. Asness, Jacques A Friedman, Robert J. Krail and John M Liew, “Style Timing: Value versus Growth,” The Journal of Portfolio Management, Spring 2000. 11     Please see Global Asset Allocation Quarterly Portfolio Outlook, “Quarterly - March 2016,” dated March 31, 2016, and available at gaa. bcaresearch.com. 12     Please see Global Asset Allocation Quarterly Portfolio Outlook, “Quarterly - April 2019,” dated April 1, 2019 available at gaa.bcaresearch.com.
特別レポート Highlights Investors should pay particular attention to definition and methodology when evaluating value versus growth strategies, both academically and in practice. Value investors should focus on non-U.S. markets, especially the emerging market small-cap universe. Growth investors should focus on large caps, especially the U.S. large-cap universe. Small-cap investors should focus on value. Large- and mid-cap investors should not be making bets between value and growth strategically. Tactical style rotation should be done only when valuation spreads reach extreme levels.  GAA remains neutral on value versus growth, but prefers to use sector positioning (cyclicals versus defensives, financials versus tech and health care) and country positioning (euro area versus U.S.) to implement style tilts. Feature Investing by way of style is as old as investing itself. Value versus growth has been one of the most frequently asked questions among our clients of late, particularly given the sharp style reversal in recent weeks. In this report, we attempt to answer some of the most often-asked questions on value versus growth. We have arranged these questions into five separate sections: First, we look at 93 years of history of the Fama-French value and growth portfolios to see how value, growth, and size have interacted over time, because academics have mostly used the Fama-French framework. Second, we look at how comparable U.S. style indices are, including the S&P, the Russell and the MSCI, since practitioners mostly use these commercial indices as their benchmarks. Third, we investigate if international markets share the same value-growth performance cycles as the U.S., using the MSCI suite of value-growth indices (since MSCI is the only index provider that produces value-growth indices for each market under its global coverage). Fourth, we investigate if pure exposure to value and growth can actually improve the value-growth performance spread by comparing the pure style indices from the S&P and the Russell to their standard counterparts. Finally, we present the GAA approach to style tilts in a section on our investment conclusions. 1. Is It True That Value Outperforms Growth In The Long Run? There has been overwhelming academic evidence supporting the existence of the value premium.1 Academically, the “value premium”, also known as the HML (high minus low) factor premium, or the value outperformance, is defined as the return differential between the cheapest stocks and the most expensive. Even though Fama and French used book-to-price as the sole valuation criterion,2 many researchers have combined book-to-price with other valuation measures such as earnings-to-price, sales-to-price, dividend yield,3 and so on.  There is also academic evidence suggesting that “value outperformance is almost non-existent among large-cap stocks.”4 What is more, in 2014 Fama and French caused a huge stir by publishing “A Five-Factor Asset Pricing Model” working paper demonstrating that “HML is a redundant factor” because “the average HML return is captured by the exposure of the HML to other factors” (such as size, profitability, and investment pattern) based on U.S. data from 1963 to 2013.5 For non-quant practitioners, especially the long-only investors, value and growth are two separate investment styles, even though the style classification shares the same principle as the academic “value factor.” Their definitions vary, as evidenced by how S&P Dow Jones, FTSE Russell, and MSCI define their value and growth indexes (see next section on page 7). In general, value stocks are cheap, with lower-than-average earnings growth potential, while growth stocks have higher-than-average earnings growth potential but are very expensive. The indices published by commercial index providers do not have very long histories, however. Fortunately, Fama and French also provide value-growth-size portfolios on their publicly available website.6  Table 1 shows that for 93 years, from July 1926 to June 2019, U.S. value portfolios in both large-cap and small-cap buckets based on the well-known Fama-French approach have returned more than their growth counterparts, no matter whether the portfolios are equal-weighted or market-cap-weighted. Most strikingly, equal-weighted small-cap value outperformed its growth counterpart by over 10% a year in absolute terms, and has more than doubled the risk-adjusted return compared to its growth counterpart. Table 1Fama-French Value-Growth-Size Portfolio Performance* Some media reports have claimed that value stocks are “less volatile” because they are on average “larger and better-established companies.”7 This may be true for some specific time periods. For the 93 years covered by Fama and French, however, this common belief is not supported. In fact, value portfolios in both the large- and small-cap universes have consistently had higher volatility than growth portfolios, no matter how the components are weighted. The excess returns, however, have more than offset the higher volatilities in three out of four pairs, with the exception being market cap-weighted large-cap growth, which has a slightly higher risk-adjusted return due to much lower volatility than its value counterpart. From a very long-term perspective, the value outperformance does come from taking higher risk. Further investigation shows that the superior long-run outperformance of value relative to growth came mostly in the first 80 years of Fama and French’s 93-year sample. In more recent years since 2007, however, value has underperformed growth significantly in three out of the four Fama-French value-growth pairs, with the equal-weighted small-cap value-growth pair being the sole exception, as shown in Table 2. Even though the equal-weighted small-cap value has still outperformed its growth counterpart in the most recent period, the hit ratio drops to 54% compared to 76% in the first 80 years, while the magnitude of average calendar-year outperformance drops to a meager 1.3%, compared to 12.5% in the first 80 years. Table 2The Fight Between Value And Growth* Statistical analysis is sensitive to the time period chosen. How have value and growth been performing over time? Chart 1 shows the long-term dynamics among value, growth, and size. The following conclusions are clear: Value investors should favor small caps over large caps, while growth investors should do the opposite, favoring large caps over small caps, albeit with much less potential success (Chart 1, panel 1). Small-cap investors should favor value stocks over growth stocks (panel 2). Value outperformance in the large-cap space (panel 3) is much weaker than in the small-cap space (panel 2). Chart 1Fama-French Value-Growth-Size Peformance Dynamics* Asset owners and allocators should pay special attention when selecting benchmarks for value and growth. Fama and French define small and large caps based on the median market cap of all NYSE stocks on CRSP (Center for Research In Security Prices), then use the NYSE median size to split NYSE, AMEX and NASDAQ (after 1972) into a small-cap group and a large-cap group. The value and growth split is based on book-to-price, with stocks in the lowest 30% classified as growth, and the highest 30% as value. Interestingly, small-cap value and small-cap growth account for only a very small portion of the entire universe, as shown in Charts 2A and 2B. Chart 2ASmall-Cap Value-Growth Portfolios* Chart 2BLarge-Cap Value-Growth Portfolios* Value stocks’ average market cap is about half of that of growth stocks, in both the large- and small-cap universes (panel 3 in Charts 2A and 2B). Again, this does not support some media claims that value stocks are larger and better-established companies. However, it does add further support to the claim that all investors should favor small-cap value stocks. Unfortunately, “small-cap value” is a very small universe. As of June 2019, the CRSP total U.S. equity market cap was $26.2 trillion, with small-cap value accounting for only 1.5% (about $383 billion); even large-cap value comprises only a relatively small weight, 13% (US$3.5 trillion). The U.S. market is dominated by large-cap growth stocks with a heavy weight of 56% (US$14.7 trillion, as of June 2019). This is encouraging because academic research does show that the value premium among large caps is weak. But the large-cap value weakness mostly started from 2007, after 80 years of strength relative to large-cap growth (Chart 1, panel 3). The Fama-French approach is widely used in academic research, partly due to its long history from 1926. For non-quant practitioners, especially long-only investors, however, commercial indexes from FTSE Russell, S&P Dow Jones, and MSCI are more often used as performance benchmarks. In this report, we study a series of commercial value-growth indexes in the U.S. and globally to shed light on value-growth dynamics, and how asset allocators can incorporate them into their decision-making processes. 2. Not All U.S. Style Indexes Are Created Equal Three major index providers have style indices. They are FTSE Russell (which launched the industry’s first set of value-growth indexes in 1987), S&P Dow Jones, and MSCI. MSCI is the only provider that has a full suite of value-growth indices for all individual markets under coverage. While all three provide “standard” style indices that include the full component of the parent index, the FTSE Russell and the S&P Dow Jones also provide “pure” style indices. There are two major differences between “standard” and “pure” style indices: 1) the standard indices are market-cap weighted, while the “pure” indices are weighted based on style score. 2) Standard value and standard growth have overlapping components, while pure value and pure growth do not share any common components. Other than book-to-price, the value variable used by the Fama-French approach, the three providers have added different variables in the determination of value and growth, as shown in Table 3. This also reflects the evolution of the industry’s understanding on value and growth. For example, when MSCI first launched its style index in 1997, it used only book-to-price, but changed its approach in May 2003 to the current “multi-factor two-dimension” framework. Table 3Value-Growth Index Criteria Because of the differences in index construction methodology, value-growth indices for the U.S. have behaved differently. The S&P 500, the Russell 1000, and the MSCI standard (large and mid-cap) indices are widely followed institutional benchmarks, with back-tested history dating to the 1970s. Chart 3 shows the relative value/growth performance dynamics from the three index providers, together with that from Fama and French (market value-weighted, to be consistent with the approach from the index providers). One can observe the following: Chart 3Which Value/Growth? None of the three pairs looks exactly like Fama-French’s market-cap value-weighted value/growth. This raises the question of how historical analysis based on the long history of Fama-French value/growth portfolios can be applied to the commercial indices. In the first cycle from 1975 to February 2000, all three index pairs made a round trip, with flat performance between value and growth. Also, even though the S&P 500 and Russell 1000 were more closely correlated with one another than with the MSCI, the three were quite similar. In the current cycle that began in February 2000, however, Russell value/growth has rebounded much more strongly than the other two. But in the down period that started in 2007, the three indices performed in line with each other, as shown in Table 4. Table 4U.S. Style Index Performance* In addition, the difference between S&P and Russell does not just lie between the S&P 500 and the Russell 1000. It actually exists in every market-cap segment, as shown in Chart 4. Unfortunately, MSCI does not provide history from 1975 for the detailed cap segments. In the current cycle since February 2000, S&P value rebounded the least between 2000 and 2006. Why? Chart 4Know Your Benchmark Further investigation reveals some interesting observations, as shown in Chart 5. Chart 5Value/Growth: Russell Vs. S&P At the aggregate level, the S&P 1500, the Russell 3000 and their respective style indices have performed largely in line with one another in the most recent cycle starting from February 2000 (Chart 5, panel 4), reflecting the industry trend of index convergence. In different market cap segments, however, the divergence is still prominent, especially in the small-cap space (panel 1). The S&P 600 has consistently outperformed the Russell 2000 in both the value and growth categories. In addition to different style factors, this consistency also reflects different universes, size distribution, and sector exposure, as explained in an earlier GAA Special Report on small caps.8 Managers with Russell 2000 as their performance benchmark could simply beat it by doing a total-return-performance swap between the Russell 2000 and the S&P 600. Bottom Line:  Asset owners and allocators should pay special attention when selecting benchmarks for value and growth.  3. How Have Value And Growth Performed Globally? MSCI is the only index provider that also produces value-growth indices for each equity market under its global coverage, using the same methodology. Unfortunately, only the “standard” (i.e., large- and mid-cap) universe has a long history, dating from December 1974. Charts 6A and 6B show the value/growth dynamics in major DM and EM markets. The relative performance of MSCI DM value versus growth shares a similar pattern to that of the U.S. in the latest cycle since 2000, but looks very different in the period before 2000 (Chart 6A). The ratio of EM large- and mid-cap value versus growth did not peak until February 2012, about five years after the peak of its DM peer (Chart 6B, panel 1). On the other hand, EM small-cap value has resumed its outperformance versus growth since early 2016 after having peaked around the same time as its large-cap counterpart. Chart 6AIs Value Dead In DM? Chart 6BIs Value Dead In EM? The global value/growth dynamics also show that the “value outperforming growth” effect is more prominent in the small-cap space. But why has small value also underperformed small growth in most DM markets? Our explanation is that the EM universe is much less efficient than the DM universe because there are not many quant funds dedicated to the EM small-cap space –  in addition to the fact that, in general, EM small caps are much smaller than those in DM markets. This is also in line with our finding that, in general, factor premia are more prominent in the EM universe.9 Bottom Line: Value premium is more prominent in non-U.S. markets, especially the EM small-cap universe. 4. Do Pure Style Indices Improve Performance? Both S&P Dow Jones and FTSE Russell provide pure-value and pure-growth indices. Unlike the standard value-growth indices, which target about 50% of the parent market cap, the pure-style indices include only stocks with the strongest value and growth characteristics. There is no overlap between the two. We prefer to use sector and country positioning to implement style tilts tactically. In theory, the pure-style indices should outperform the standard-style indices because of their concentrated exposure to style factors. How do they do in reality? Table 5 shows that in terms of absolute return, this is indeed the case for 14 out of the 18 pairs of indices from S&P and Russell for the period between 1998 and 2019. However, the higher returns from greater exposure to style factors have largely come from much higher volatility in 17 out of the 18 pairs. Pure style has higher volatility than standard style in general, the only exception being the Russell mid-cap value space. As such, on a risk-adjusted basis, pure style is not necessarily better. Table 5Purer Is Not Necessarily Better Charts 7A and 7B show the different performance dynamics for the S&P and Russell families of style indices. For the S&P indices, pure growth has outperformed standard growth for the entire period in all three market-cap segments, but only the S&P 500 pure value outperformed its standard counterpart. Therefore, more concentrated exposure to style characteristics has improved the value-growth spread only in the large-cap space, but it has actually worsened the value-growth spread in the mid- and small-cap universes (Chart 7A). Chart 7AS&P Pure Styles* Chart 7BRussell Pure Styles* For the Russell indices, it’s clear that there were a lot more tech stocks in its pure-growth indices leading up to the 2000 tech bubble, because pure growth shot up significantly more than the standard growth before the bubble burst, and also crashed more severely following it. Overall, only in the small-cap space did the value-growth spread improve by the more concentrated exposure to style factors. However, this improvement was not because of the outperformance of the pure-style relative to the standard indices. In fact, both pure value and pure growth in the small-cap universe underperformed their standard counterparts, but pure growth performed even worse (Chart 7B and Table 5). 5. Investment Conclusions Value and growth can mean very different things and behave very differently. Investors should pay special attention to the definitions and methodologies when evaluating style indices or strategies, both academically and in practice.  Depending on an investor’s mandate, the following is recommended: Value investors should focus on non-U.S. markets, especially the emerging market small-cap universe. Growth investors should focus on large caps, especially the U.S. large-cap space. Small-cap investors should focus on value. Large-and mid-cap investors should not make bets between value and growth strategically. Tactical style rotation should be done only when valuation spreads reach extreme levels. Price-to-book is the only common variable used in the determination of value and growth by academics and practitioners. Its track record as a systematic return predictor has been poor, as shown in panel 2 of Charts 8A and 8B. Another factor we have a long history for is dividend yield. Its predictive power is even worse than that of price-to-book (panel 3). Chart 8AValuation Is A Poor Timing Tool In The U.S. Chart 8BValuation Is A Poor Timing Tool Globally Many factors have been used in conjunction with price-to-book by both academics and practitioners to time the rotation between value and growth. However, the results have been mixed. Regression models that correctly predicted in the past may not work in the future. For example, a regression model based on valuation spread and earnings-growth spread using data from January 1982 to October 1999 successfully predicted the rebound of value outperformance starting in early 2000,10 but the universal suffering of value funds over the past several years implies that this model may have given many false signals. Chart 9 demonstrates how difficult it is to use regression models as a timing tool for value and growth rotation. A simple regression is conducted between value and growth return differentials (subsequent 60-month returns) and relative price-to-book. For data from December 1974 to July 2019, the r-squared for the MSCI world is 0.38 and for the U.S. it is 0.09. In hindsight, both models predicted the value outperformance starting in early 2000. However, the gaps between actual value and fitted value started to open, long before 2000. By late 1998, the gaps were already wider than the previous cycle lows, yet they continued to widen as value continued to underperform growth until February 2000.  Chart 9How Good Is The Fit? What should investors currently do, based on these models? The gaps are large, but not as large as in early 2000. At which point should investors start to shift into value given its more than 12 years of underperformance? We have often written that we prefer to use sector and country positioning to implement style tilts.11, 12 This preference has not changed. Value and growth indices have sector tilts that change over time. Currently, the S&P Dow Jones large- and mid-cap value indices have a clear overweight in financials but an underweight in tech and health care compared to their growth counterparts (Table 6). Table 6Sector Bets In Value And Growth Indices* Chart 10Prefer Sector And Country Positioning To Style Tilts We have been neutral on value and growth, but would likely change this view if we change our country equity allocation between the U.S. and the euro area, and our equity sector allocation between cyclicals and defensives as well as between financials and information technology (Chart 10).     Xiaoli Tang, Associate Vice President xiaoliT@bcaresearch.com Footnotes 1Antti Ilmanen, Ronen Israel, Tobias J. Moskowitz, Ashwin Thapar, Franklin Wang, “Factor Premia and Factor Timing: A Century of Evidence,” AQR Working Paper, July 2, 2019. 2Eugene F. Fama and Kenneth R. French, “Common risk factors in the return on stocks and bonds,” Journal of Financial Economics, 33 (1993). 3Clifford Asness, Andrea Frazzini, Ronen Israel and Tobias Moskowitz, “Fact, Fiction, and Value Investing,” The Journal of Portfolio Management, Vol. 42 No.1, Fall 2015.  4Ronen Israel and Tobias J. Moskowitz, “The Role of Shorting, Firm Size and Time on Market Anomalies,”Journal of Financial Economics, Vol 108, Issue 2, May 2013 5Eugene F. Fama and Kenneth R. French, “A Five-Factor Asset Pricing Model,” Working Paper, University of Chicago, September 2014. 6Fama-French value-growth-size portfolios. 7Mark P. Cussen, “Value or growth Stocks: Which are Better?” Investopedia, Jun 25, 2019. 8Please see Global Asset Allocation Special Report titled “Small Cap Outperformance: Fact or Myth?” dated April 7, 2017, available at gaa.bcaresearch.com. 9Please see Global Asset Allocation Special Report titled, “Is Smart Beta A Useful Tool In Global Asset Allocation?” dated July 8, 2016, available at gaa.bcaresearch.com 10Clifford S. Asness, Jacques A Friedman, Robert J. Krail and John M Liew, “Style Timing: Value versus Growth,” The Journal of Portfolio Management, Spring 2000. 11Please see Global Asset Allocation Quarterly Portfolio Outlook, “Quarterly - March 2016,” dated March 31, 2016, and available at gaa. bcaresearch.com. 12Please see Global Asset Allocation Quarterly Portfolio Outlook, “Quarterly - April 2019,” dated April 1, 2019 available at gaa.bcaresearch.com.  
Highlights Portfolio Strategy The contracting manufacturing sector that rekindled recession fears, the harsh reality of the Sino-American trade war weighing on profits, downbeat business confidence and mushrooming capex slowdown signals all warn that investors should tread carefully in the historically difficult equity market months of September and October. It no longer pays to be overweight gold mining equities as sentiment is stretched, the restarting of global QE will likely reverse or at least halt the drubbing in global yields and the U.S. dollar inverse correlation should reassert itself and weigh on global gold miners. EM and China ills, deflating global producer pricing power, export blues and souring financial statement metrics underscore that materials stocks have ample downside. Recent Changes Trim the Global Gold Mining index to neutral, today. Downgrade the S&P Materials sector to underweight, today. Table 1 Feature Equities broke out of their trading range last week, but in order for this short-covering rally to become durable, and for volatility to subside, either global growth needs to turn the corner and alleviate recession fears or the trade war needs to de-escalate materially. On the recession front Central Banks (CBs) are doing their utmost to reflate their respective economies, but the early stages of looser monetary policy have been insufficient to change the global growth trajectory. With regard to the trade war, markets cheered the news that talks between the U.S. and China will resume in September and October. The dates for talks are conveniently chosen to follow the September FOMC meeting and the October 1 70th anniversary of the People's Republic of China. The latter date implies that Washington is considering delaying the October 1 tariff hike – and it could imply that Washington does not anticipate any violent suppression of Hong Kong protesters by that time. However, the harsh reality is that the two sides are just “kicking the can down the road”. The longer the Sino-American trade war takes to conclude, the more likely it will serve as a catalyst for a repricing of risk significantly lower (top panel, Chart 1). A technical correction may be necessary to force Trump to reduce the trade pressure significantly. Even if the October 1 tariff hike is postponed it will remain a source of uncertainty ahead of the final tariff tranche slated for December 15. The bond market may offer some clues as to the extent that the escalating trade war will eventually get reflected into stocks (bottom panel, Chart 1). The equity transmission mechanism is through the earnings avenue. Simply put, rising trade uncertainty deals a blow to global trade that boosts the U.S. dollar which in turn makes U.S. exports uncompetitive in global markets, deflates the commodity complex and with a lag weighs on SPX earnings. Chart 1Tracking Trade Uncertainty Speaking of the economically hypersensitive manufacturing sector, last week’s ISM release made for grim reading, further fueling recession fears (the New York Fed now pegs the recession probability just shy of 38% by next August). Not only did the overall survey fall below the boom/bust line (middle panel, Chart 2), but also new orders collapsed. In fact, the drubbing in new orders is worrying and it signals that the economy is going to get worse before it gets better (top panel, Chart 2). Tack on the simultaneous rise in inventories, and the sinking new orders-to-inventories ratio (not shown) warns of additional manufacturing ills in the coming months. Importantly, export orders suffered the steepest losses plunging to 43.3. The last three times that this trade-sensitive survey subcomponent was in such a steep freefall were in 1998, 2001 and 2008, when the SPX suffered peak-to-trough losses of 20%, 49% and 57%, respectively. In fact, since the history of the data, ISM manufacturing export orders have never been lower with the exception of the GFC (Chart 3). Such a retrenchment will either mark the bottom for equities or is a harbinger of a steep equity market correction. We side with the latter as the odds of President Trump striking a real trade deal (including tech) with China any time soon are low. Chart 2Like Night Follows Day Similar to the ISM manufacturing/non-manufacturing divergence (bottom panel, Chart 2), business confidence is trailing consumer conference by a wide mark. Historically this flaring chasm has been synonymous with a sizable loss of momentum in the broad equity market (Chart 4). One plausible explanation is that as business animal spirits suffer a setback, CEOs are quick to prune/postpone capex plans and, at the margin, corporations retrench and short-circuit the capex upcycle. Chart 3Export Carnage Chart 4Mind The Gap Circling back to last week’s capex update, national accounts corroborate the financial statement data deceleration, and in some cases contraction, in capital outlays (Chart 5). As a reminder our thesis is that the EPS-to-capex virtuous upcycle is morphing into a vicious down cycle.1 This week, we downgrade a deep cyclical sector by taking profits in a niche subgroup that has served as a reliable portfolio hedge. Crucially, tech investment, that comprises almost 30% of total investment according to national accounts, is decelerating, R&D and other intellectual property investment have also hooked down, non-residential structures are on the verge of contraction, and industrial, transportation and other equipment –that have the largest weight in U.S. capex – are also quickly losing steam (Chart 6). Chart 5Capex Blues Chart 6All Capex Segments… In more detail, Charts 7 & 8 further break down capital outlays in the respective categories and reveal that worrisomely the investment spending slowdown is broad based. Chart 7…Have Rolled Over… Chart 8…Except For One Adding it all up, the contracting manufacturing sector that rekindled recession fears, the harsh reality of the Sino-American trade war weighing on profits, downbeat business confidence and mushrooming capex slowdown signals all warn that investors should tread carefully in the historically difficult equity market months of September and October. As a reminder, this is U.S. Equity Strategy service’s view and it contrasts with BCA’s sanguine equity market house view. This week, we downgrade a deep cyclical sector by taking profits in a niche subgroup that has served as a reliable portfolio hedge. Downgrade Materials To Underweight… Heightened economic and trade policy uncertainty has claimed the S&P materials sector as one of its victims (Chart 9). Given that our Geopolitical Strategy service’s base case remains that there will be no Sino-American trade deal by the U.S. November 2020 election, there is more downside for materials stocks and we are downgrading this niche deep cyclical sector to a below benchmark allocation.2 Beyond the U.S./China trade war inflicted wounds that materials stocks have to nurse, there are four major headwinds that they will also have to contend with in the coming months. Chart 9Trade Uncertainty Sinking Materials First, the emerging markets (EM) in general and China in particular are in a prolonged soft patch that predates the Sino-American trade war. EM stocks and EM currencies are both deflating at an accelerating pace warning that relative share prices will suffer the same fate (Chart 10). Nothing epitomizes the infrastructure spending/capex cycle more than China’s insatiable appetite for commodities and the news on that front remains dire. The Li Keqiang index continues to emit a distress signal and that is negative for materials top line growth (bottom panel, Chart 10). Second, global inflation is in hibernation and select EM producer price inflation growth series are on the verge of contraction or already outright contracting. Chinese raw materials wholesale prices are in the deflation zone and warn that U.S. materials sector profits will underwhelm (Chart 11). Chart 10Bearish EM… Chart 11…And China Backdrops Base metal prices are a real time indicator of the wellness of the S&P materials sector. Currently, base metals are deflating both on the back of a firming U.S. dollar and contracting global manufacturing. Such a commodity price backdrop is dampening prospects for a profit-led materials sector relative share price recovery (top & middle panels, Chart 12). Third, the materials exports outlook is darkening. Apart from the deflating effect the appreciating U.S. dollar has on commodities it also clips basic materials companies’ exports prospects. How? It renders materials related exports uncompetitive in international markets leading to market share losses. Netting it all out, EM and China ills, deflating global producer pricing power, export blues and souring financial statement metrics underscore that materials stocks have ample downside. Chart 12Weak Pricing Power And Declining Exports In addition, the latest ISM export order subcomponent plunged to multi-year lows reflecting trade war pessimism and falling global end-demand. The implication is that the export relief valve is closed for materials equities (bottom panel, Chart 12). Finally, materials sector financial statement metrics are moving in the wrong direction. Net debt-to-EBITDA is rising anew and interest coverage has likely peaked for the cycle at a time when free cash flow generation has ground to a halt (Chart 13). U.S. Equity Strategy’s S&P materials sector profit growth model encapsulates all these moving parts and warns that a severe profit contraction phase looms (Chart 14). Chart 13Financial Statement Red Flags Chart 14Model Says Sell Netting it all out, EM and China ills, deflating global producer pricing power, export blues and souring financial statement metrics underscore that materials stocks have ample downside. Bottom Line: The time is ripe to downgrade the S&P materials sector to underweight. …Via Trimming Gold Miners To Neutral The way we are executing this downgrade in the materials sector to an underweight stance is by trimming the global gold mining index to a benchmark allocation. Our thesis that gold stocks serve as a sound portfolio hedge remains intact and underpinned when: economic and trade policy uncertainty are on the rise (top panel, Chart 15) global CBs start cutting interest rates and in some cases doubling down on negative interest rates currency wars are overheating Nevertheless, what has changed is the price, and we deem that global gold miners that have gone parabolic are in desperate need of a breather. The top panel of Chart 16 shows that gold stocks have rallied 58% since the May 5, 2019 Trump tweet. This outsized four-month relative return is remarkable and likely almost fully reflects a very dovish Fed and melting real U.S. Treasury yields (TIPS yield shown inverted, bottom panel, Chart 15). A much needed pause for breath is required before the next leg of the relative rally resumes, and we opt to move to the sidelines. Chart 15Positive Backdrop… Chart 16…But Reflected In Prices Moreover, on the eve of the ECB’s September meeting, were President Mario Draghi to re-commence QE in the form of sovereign and corporate bond purchases as markets participants expect, counterintuitively a selloff in the bond markets would confirm that QE and its signaling is working (bottom panel, Chart 16). Ergo, this would likely exert upward pressure on global interest rates including the U.S., especially given the one-sided positioning in the respective global risk free assets. The implication is that the shiny metal and global gold miners would suffer a setback as real yields would rise further. As a reminder, gold bullion yields nothing and gold mining equities next to nothing, thus when competing safe haven assets at the margin start yielding higher, investors flee gold and gold miners and flock to risk free assets. Sentiment toward gold and global gold miners is stretched. Gold ETF holdings are at multi-year highs (second panel, Chart 17) and gold net speculative positions are at a level that has marked previous reversals. In addition, bullish consensus on gold is near 72%, a percentage last reached in 2012 (third & bottom panels, Chart 17). Similarly, relative share price momentum is also warning that global gold mining equities are currently extended (bottom panel, Chart 18). Chart 17Extreme… Chart 18…Sentiment Finally, while the bond market’s view of 100bps in Fed cuts in the next 12 months should have undermined the trade-weighted U.S. dollar, it has actually defied gravity and slingshot to fresh cycle highs. This is a net negative both for gold and gold mining equities as the underlying commodity is priced in U.S. dollars and enjoys an inverse correlation with the greenback. The implication is that the multi-decade inverse correlation will hold and will likely pull down gold and gold mining equities at least in the short-run (U.S. dollar shown inverted, Chart 19). In sum, the exponential rise in global gold miners is in need of a breather. Sentiment is stretched, the restating of global QE will likely reverse or at least halt the drubbing in global yields and the U.S. dollar inverse correlation should reassert itself and weigh on relative share prices Chart 19Gold Miners/Dollar Correlation Re-establishment Risk Bottom Line: Downgrade the global gold mining index to neutral, but stay tuned.   Anastasios Avgeriou, U.S. Equity Strategist anastasios@bcaresearch.com Footnotes 1      Please see U.S. Equity Strategy Weekly Report, “Capex Blues” dated September 3, 2019, available at uses.bcaresearch.com 2      Please see The Bank Credit Analyst Special Report, “Big Trouble In Greater China” dated August 29 , 2019, available at bca.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
Highlights The lingering global manufacturing recession and the substantial drop in U.S. bond yields have been behind the decoupling between both EM stocks and the S&P 500, and cyclical and defensive equities. Neither the most recent economic data, nor the relative performance of global cyclicals, China-related plays and high-beta markets herald a broad-based and lasting risk-on phase in global markets. On the contrary, economic and market signposts continue to indicate either further bifurcation in global markets or a risk-off period. We review some of our long-standing themes and associated recommendations. Feature Global financial markets have become bifurcated. On one hand, numerous segments of global financial markets leveraged to global growth, including EM stocks, have already sold off (Chart I-1). On the other hand, share prices of growth companies, defensive stocks and global credit markets have remained resilient. Chart I-2 shows that a similar divergence has taken place within EM asset classes: EM share prices have plummeted while EM corporate credit excess returns have not dropped much. Chart I-1Bifurcated Equity Markets Chart I-2Bifurcated Markets In EM   How to explain this market bifurcation? Financial markets sensitive to global trade and manufacturing cycles have been mirroring worsening conditions in global trade and manufacturing. Some of the affected segments include: Global cyclical equity sectors. Emerging Asia manufacturing-related currencies (KRW, TWD and SGD) versus the U.S. dollar (Chart I-3). EM and DM commodity currencies (Chart I-4). Chart I-3Total Return (Including Carry): KRW, TWD And SGD Vs. USD Chart I-4EM And DM Commodity Currencies   Industrial and energy commodities prices. U.S. high-beta stocks as well as U.S. small caps (Chart I-5). Chart I-5U.S. High-Beta Stocks DM bond yields.  Crucially, the current global trade and manufacturing downturns have taken place despite robust U.S. consumer spending. In fact, our theme for the past several years has been that a global business cycle downturn would occur despite ongoing strength in American household spending. The rationale has been that China and the rest of EM combined are large enough on their own to bring down global trade and manufacturing, irrespective of strength in U.S. consumer spending. At the current juncture, one wonders whether such a market bifurcation is justified. It is not irrational. The basis for decoupling between cyclical and defensive equities has been U.S. bond yields. The substantial downshift in U.S. interest rate expectations has led to a re-rating of non-cyclicals and growth company stocks. Corporate bonds have also done well, given the background of a falling risk-free rate. Will the current market bifurcation continue? Or will these segments in global financial markets recouple and in which direction? What To Watch China rather than the U.S. has been the epicenter of this slowdown, as we have argued repeatedly in the past. Hence, a major rally in global cyclical equities and EM risk assets all hinge on a recovery in the Chinese business cycle. The basis for decoupling between cyclical and defensive equities has been U.S. bond yields. The substantial downshift in U.S. interest rate expectations has led to a re-rating of non-cyclicals and growth company stocks. Even though Caixin’s PMI for China was slightly up in August, many other economic indicators remain downbeat: The latest hard economic data out of Asia suggest that global trade/manufacturing continues to contract. Korea’s total exports in August contracted by 12.5% from a year ago, and its shipments to China plunged by 20% (Chart I-6). The import sub-component of China’s manufacturing PMI is not showing signs of amelioration (Chart I-7). The mainland’s import recovery is very critical to a revival in global trade and manufacturing. Chart I-6Korean Exports: No Recovery Chart I-7Chinese Imports To Remain Weak Chart I-8German Manufacturing Confidence German manufacturing IFO business expectations and current conditions both suggest that it is still early to bet on a global trade recovery (Chart I-8). Newly released August data points reveal that U.S., Taiwanese, and Swedish manufacturing new export orders continue to tumble. To gauge whether bifurcated markets will recouple and whether it will occur to the downside or the upside, investors should watch the relative performance of China-exposed markets, global cyclicals and high-beta plays – the ones that have already sold off substantially. The notion is as follows: These markets’ relative performance will likely bottom before their absolute performance recovers. If so, their relative performance will likely foretell the outlook for their absolute performance. Concerning share prices of growth companies, defensive equity sectors and credit markets, these segments are at risk because of expensive valuations and crowded investor positioning. In other words, they could sell off even if a global recession is avoided. Concerning share prices of growth companies, defensive equity sectors and credit markets, these segments are at risk because of expensive valuations and crowded investor positioning. To assess the outlook for global cyclicals and China-related plays, we are monitoring the following financial market indicators: The Risk-On/Safe-Haven currency ratio is the average of high-beta commodity currencies such as the CAD, AUD, NZD, BRL, CLP and ZAR total return (including carry) indices relative to the average of JPY and CHF total returns (including carry). This ratio is dollar-agnostic. This ratio is making a new cyclical low (Chart I-9). Hence, it presently warrants a negative view on global growth, China’s industrial sector and commodities. Global cyclical equity sectors seem to be on the edge of breaking down versus defensives (Chart I-10). This ratio does not signal ameliorating global growth conditions. Chart I-9The Risk-On/Safe-Haven Currency Ratio Chart I-10Global Cyclicals Versus Defensives Chart I-11U.S. High-Beta Stocks Versus S&P 500 Finally, U.S. high-beta stocks continue to underperform the S&P 500 (Chart I-11). This is consistent with overall U.S. growth deceleration. Bottom Line: Neither the most recent economic data, nor the relative performance of global cyclicals, China-related plays and high-beta markets herald a broad-based and lasting risk-on phase in global markets. On the contrary, economic and market signposts continue to foreshadow either further bifurcation in global markets or a risk-off period. Continue trading EM stocks and currencies on the short side, and underweighting EM risk assets versus DM. Our Investment Themes And Positions Some of our open positions often run for years because they reflect our long-standing themes. Our core theme has for some time been that a global trade/manufacturing recession will be generated by a growth relapse in China. To capitalize on this theme, we have been recommending a short EM stocks / long 30-year U.S. Treasurys strategy since April 2017. This recommendation has produced a 25% gain since its initiation (Chart I-12). Continue betting on lower local interest rates in emerging economies where the central bank can cut rates despite currency depreciation. To implement this theme, we have been recommending receiving swap rates in Korea and Chile for the past several years. Our reluctance to recommend an outright buy on local bonds stems from our bearish view on both currencies – the Korean won and Chilean peso. In fact, we have been shorting both the KRW and the CLP against the U.S. dollar. Chart I-13 shows that swap rates in Korea and Chile have dropped substantially since our recommendations to receive rates in these countries. More rate cuts are forthcoming in these economies, and we are maintaining these positions. Chart I-12EM Stocks Have Massively Underperformed U.S. Bonds Chart I-13Continue Receiving Rates In Korea And Chile   We have been bearish on EM banks in general and Chinese banks in particular. We have expressed these themes in a number of ways: Short EM and Chinese / long U.S. bank stocks. Short EM banks / long EM consumer staples (Chart I-14). Within Chinese banks, we have been short Chinese medium and small banks / long large ones. All these strategies remain valid. In credit markets, we have been favoring U.S. corporate credit versus EM sovereign and corporate credit. Ability to service debt is better among U.S. debtors than EM/Chinese borrowers. We have been playing this theme in the following ways: Underweight EM sovereign and corporate credit / overweight U.S. investment-grade corporates (Chart I-15). Chart I-14Short EM Banks / Long EM Consumer Staples Chart I-15Underweight EM Credit / Overweight U.S. Investment-Grade Corporates   Underweight Asian high-yield corporate credit / overweight emerging Asian investment-grade corporates. As a bet on a deteriorating political and business climate in Hong Kong, in our Special Report on Hong Kong SAR from June 27, we reiterated the following positions: Short Hong Kong property stocks / long Singapore equities. Arthur Budaghyan Chief Emerging Markets Strategist arthurb@bcaresearch.com   Mexico: Crying Out For Policy Easing The Mexican economy is heading into a full-blown recession. Most segments of the economy are in contraction, and leading indicators point to further downside. Both manufacturing and non-manufacturing PMIs are well below 50 (Chart II-1). Monetary policy remains too restrictive: Nominal and real interest rates are both very high and plunging narrow money (M1) growth is signaling  further downside in economic activity (Chart II-2). Chart II-1The Economy Is Deteriorating Chart II-2Narrow Money Points To Negative Growth   An inverted yield curve signifies that the central bank is behind the curve and foreshadows growth contraction (Chart II-3). Fiscal policy has tightened as the government has remained committed to achieving a primary fiscal surplus of 1% of GDP in 2019 (Chart II-4, top panel). Consequently, nominal government expenditures have been curbed (Chart II-4, bottom panel). The government’s fiscal stimulus has not been large and has been implemented too late. Chart II-3A Message From The Inverted Yield Curve Chart II-4Fiscal Policy Has Tightened A Lot   Finally, business confidence is extremely low due to uncertainty over President Andrés Manuel López Obrador’s (AMLO) policies towards the private sector. The president is attempting to revive business confidence, but it will take time. Chart II-5Mexico Versus EM: Domestic Bonds And Sovereign Credit Our major theme for Mexico has been that both monetary and fiscal policies are very tight. Consequently, we have been recommending overweight positions in Mexican domestic bonds and sovereign credit relative to their respective EM benchmarks. (Chart II-5). Recessions are bad for share prices, but in tandem with prudent macro policies, they can be positive for fixed-income markets. Meanwhile, we have been favoring the Mexican peso relative to other EM currencies due to the fact that AMLO is not as negative for the country as was initially perceived by markets. With inflation falling and the Federal Reserve cutting rates, Banxico will ease further. Yet, it will likely cut rates slower than warranted by the economy. The longer the central bank takes to ease, the lower domestic bond yields will drop. Concerning sovereign credit, investors should remain overweight Mexico within an EM credit portfolio. Mexico’s fiscal position is healthier, and macroeconomic policies will be more prudent relative to what the market is currently pricing. We continue to believe concerns about Pemex’s financing and its impact on government debt are overblown, as we discussed in detail in our previous Special Report. In July, the government released an action plan for Pemex financing. We view this plan as marginally positive. To supplement this plan, the government can use the $14.5 billion federal budget stabilization fund to fill in financing shortfalls in the coming years. Importantly, the starting point of Mexican public debt is quite low, which will allow the government to finance Pemex in the years to come by borrowing more from markets. Recessions are bad for share prices, but in tandem with prudent macro policies, they can be positive for fixed-income markets. Lastly, our overweight recommendation in Mexican stocks has not played out. However, we are maintaining it for the following reasons: Chart II-6 illustrates that when Mexican domestic bond yields decline relative to EM ones (shown inverted on Chart II-6), Mexican share prices usually outperform their EM counterparts in common currency terms. Consistent with our view that Mexican local currency bonds will outperform their EM peers, we expect Mexican stocks to outpace the EM equity benchmark. The Mexican bourse’s relative performance against EM often swings with the relative performance of EM consumer staples versus the EM equity benchmark. This is due to the large share of consumer staples stocks in Mexico (34.5%) compared to that in the EM benchmark (7%). Consumer staples stocks are beginning to outpace the EM equity index, raising the odds of Mexican equity outperformance versus its EM peers (Chart II-7). Chart II-6Local Bond Yields And Relative Stocks: Mexico Versus EM Chart II-7Consumer Staples Have A Large Weight In Mexican Bourse   We do not expect a major rally in this nation’s stock market given the negative growth outlook. Our bet is that Mexican share prices - having already deflated considerably - will drop less in dollar terms than the overall EM equity index. Bottom Line: We continue to recommend an overweight stance on Mexican sovereign credit, domestic bonds and equities relative to their respective EM benchmarks. The main risk to the Mexican peso stems from persisting selloff in EM currencies. Traders’ net long positions in the MXN are elevated posing non-trivial risk (Chart II-8). We have been long MXN versus ZAR but are taking profit today. This trade has generated a 9.7% gain since March 29, 2018. A plunging oil-gold ratio warrants a caution on this cross rate in the near term (Chart II-9). Chart II-8Investors Are Long MXN Chart II-9Take Profits On Long MXN / Short ZAR Trade   Juan Egaña, Research Associate juane@bcaresearch.com Arthur Budaghyan Chief Emerging Markets Strategist arthurb@bcaresearch.com Footnotes   Equities Recommendations Currencies, Credit And Fixed-Income Recommendations
特別レポート Dear Client, We will not be publishing a report next week as we take an end-of-summer break. Our next report will be published on Tuesday, September 10th. Best regards, Robert Robis  Highlights Canadian Corporates: The small but growing Canadian corporate bond market has delivered performance comparable to other developed market credit over the past decade, with less duration risk and higher average credit quality compared to the larger U.S. corporate debt market. Returns: Our new regression model for Canadian corporate bond excess returns is calling for modest positive gains for Canadian corporate debt over the next year.  Corporate Health: Canadian companies’ financial health remains a positive for corporate bond returns on a cyclical basis, but high leverage and mediocre profitability are longer-term concerns. Allocation: We recommend overweight allocations into Canadian investment grade corporates, versus both Canadian government bonds and U.S. investment grade corporates. Amid elevated global policy uncertainty, favor the moderate spread volatility and attractive valuation in Canadian corporates. Feature Canadian corporate bonds do not get much attention from global fixed income investors due to the relatively small size of the market. Yet Canadian corporates have delivered returns in line with their global peers over the past decade, delivering an average excess return over Canadian government bonds (hedged into U.S. dollars) of 2.8% (Chart  of the Week). Looking ahead, Canadian corporates may present an opportunity for diversification in what is becoming an increasingly challenging environment for corporate bond investors, offering relatively higher yields and better credit quality with an economy that has held up well relative to the current weakening trend in global growth. In this Special Report, we outline the contours of the Canadian corporate bond market, assess the macroeconomic factors driving Canadian corporate bond returns, and survey the current overall financial health of Canadian companies. We also take a high-level look at the state of Canadian corporate debt at the sector level, while offering our recommendations on which ones to favor over the next 6-12 months. A Brief Overview The bulk of outstanding Canadian corporate debt is rated investment grade (IG), but this represents only 5% of the global IG market (Chart 2), using the Bloomberg Barclays Global Corporates Index as a proxy.1 However, the total market capitalization of Canadian corporate bonds is 30% of Canadian GDP – a ratio as large as seen in other major developed countries like the U.S., U.K. and Switzerland (Chart 3).  Like those other markets, Canadian companies have taken advantage of historically low borrowing rates and increased demand for income-generating assets to add leverage to their balance sheets.   On the demand side, Canadian corporates have traditionally been more of an institutional investment product, although domestic retail investor interest has picked up in recent years (mostly through mutual funds and exchange traded funds). The buy-and-hold nature of those local institutional investors reduces liquidity, particularly in comparison to the more widely-traded debt of Canadian federal and provincial governments. Yet according to a September 2018 Bank of Canada (BoC) report, domestic investor concerns over a perceived deterioration of Canadian corporate bond market liquidity appeared overstated.2 The report concluded that corporate bond market liquidity had generally been improving since 2010, with only short-lived bouts of illiquidity around events such as the 2011 European Debt Crisis and the 2014/15 collapse in oil prices. That medium-term improvement in liquidity was especially concentrated in high-grade corporate debt and bonds issued by banks, although the BoC concluded that liquidity and trading activity in low-grade and non-bank bonds have generally been stable. Issuance is dominated by financials, utilities, and energy companies. Unsurprisingly, the defensive utilities sector, which has high borrowing requirements, has been the top-performing industry group in 2019 (total return of +14% year-to-date) against a backdrop of falling bond yields and increased investor nervousness about future global growth (Chart 4). Yet all Canadian corporate bonds have generally performed well, with the overall Bloomberg Barclays Canadian Corporate Index delivering a total return of +8.2% so far in 2019, compared to 11.4% for Canadian equities and 5.6% for Canadian government bonds. Canadian corporate credit spreads have been remarkably stable since the 2008 Global Financial Crisis.  The overall index option-adjusted spread (OAS) has stayed in a range between 100-200bps, while both total and excess (duration-matched versus government debt) returns exhibiting fairly low volatility since 2008 (Chart 5). Canadian corporate credit spreads have been remarkably stable since the 2008 Global Financial Crisis.  The overall index option-adjusted spread (OAS) has stayed in a range between 100-200bps, while both total and excess (duration-matched versus government debt) returns exhibiting fairly low volatility since 2008 The duration of the benchmark Canadian IG corporate index is now 6.4 years, well below the equivalent level for U.S IG (7.9 years) even though it has steadily increased over the past decade.  Over that same period, the average credit quality has deteriorated, with 40% of the Canadian corporate index now rated BBB (Chart 6). This is below the BBB share seen in the U.S. (50%) and euro area (52%), though, making Canadian IG relatively less exposed to potential downgrades to junk bond status. Chart 5Low Volatility Of Spreads & Returns Since 2008 Chart 6Lower Share Of BBBs Compared To The U.S. & Europe Bottom Line: The small but growing Canadian corporate bond market has delivered performance comparable to other developed market credit over the past decade, with less duration risk and higher average credit quality compared to the large U.S. corporate debt market. A Fundamental Model To Forecast Canadian Corporate Bond Returns In order to help forecast Canadian corporate bond performance, we have developed a factor-based regression model of Canadian IG excess returns (in local currency terms). We first determined the independent variables in the regression by compiling a list of potential drivers of bond returns which map to four factor groups: growth, inflation, financial variables, and other miscellaneous factors. After statistically testing those factors, the insignificant and unrelated ones were dropped. The final result of this analysis is shown in Table 1. Table 1Regression Details Of The Fundamental Canadian Corporate Bond Return Model We concluded that five variables explain the bulk of Canadian corporate bond returns:  the annual percentage change in oil prices (using the Canadian benchmark, Western Canadian Select), non-residential fixed investment growth, the M3 measure of money supply growth, the Canadian dollar trade-weighted index (CAD TWI), and the level of Canadian industrial capacity utilization. We concluded that five variables explain the bulk of Canadian corporate bond returns:  the annual percentage change in oil prices (using the Canadian benchmark, Western Canadian Select), non-residential fixed investment growth, the M3 measure of money supply growth, the Canadian dollar trade-weighted index (CAD TWI), and the level of Canadian industrial capacity utilization. Chart 7A Fundamental Model Of Canadian Corporate Bond Returns Looking at recent excess return history (Chart 7), it is not surprising that oil prices significantly affect returns given the importance of Canada’s energy sector to the overall Canadian economy.  Moreover, growth in non-residential fixed asset investment also positively influences excess returns as faster capital spending can potentially increase the profitability of Canadian firms. In contrast, the inflation factors - money supply and capacity utilization – are detrimental to returns. Increases in both of those factors can result in higher inflation and rising bond yields as the BoC is forced to tighten monetary policy, which often results in rising risk premiums and wider corporate credit spreads (falling excess returns). Finally, the CAD TWI is (weakly) positively correlated to corporate bond excess returns. A stronger currency is a reflection of a strong domestic economy, but it also helps lower imported input costs for Canadian companies – both of which boost corporate profits and corporate bond returns. We now turn to the outlook for these factors over the next 6-12 months, which remain generally supportive for moderate positive excess returns for Canadian corporates: Oil prices: BCA’s commodity strategists expect global oil prices to increase moderately over the next year as global inventory drawdowns outpace expectations (Iran sanctions, Venezuela production collapsing and OPEC 2.0 production discipline are likely sources of supply restraint). In addition, if global growth starts to rebound from the end of this year, as we expect, oil demand will also rise. Non-residential fixed investment: According to the BoC’s most recent Business Outlook Survey of Canadian companies, investment spending plans of firms remain healthy – although that survey was taken at the end of June before the latest increase in uncertainty over global trade and economic growth.3  Moreover, relatively easy credit conditions have made it easier for firms to finance capex. Therefore, our baseline scenario is still to expect moderate growth in non-residential fixed capital investment, although risks are to the downside given the global macro uncertainties. Money supply: The most recent reading of the annual growth of Canadian M3 from June was a solid +7.5%. The BoC is expected to maintain an accommodative monetary policy stance, keeping the current policy rate on hold until the end of 2020. Therefore, money supply growth is likely to remain firm – a negative for Canadian corporate bond returns in our model, although perhaps less so than in the past since rapid money growth will not generate the same type of monetary tightening response from the BoC. Capacity utilization: The Canadian capacity utilization rate is currently at 81%, a meaningful pullback from the 84% level seen in early 2018. According to the latest BoC Monetary Policy Report, the Canadian economy is operating below potential (the output gap in Q1 was estimated to be between -1.25% to -0.25% of potential GDP) and that gap is only expected to close over the next two years.  Thus, capacity utilization is not expected to have a major impact on corporate excess returns over the next 6-12 months. Canadian Dollar: The CAD TWI has shown no change over the past year, and will likely remain near current levels in the short term. Although we do not expect the BoC to cut interest rates as much as currently discounted by markets (-40bps over the next twelve months), Canadian monetary policy will still remain accommodative and will likely keep the CAD relatively soft until global manufacturing growth and trade activity stabilize and begin to revive. The CAD is likely to be a neutral factor for Canadian corporate returns over the next year. Bottom Line: Our new regression model for Canadian corporate bond excess returns is calling for modest positive gains for Canadian corporate debt over the next year.  Canadian Corporate Balance Sheet Health: OK For Now, But At Risk If The Economy Weakens Chart 8The BCA Canadian Corporate Health Monitors Regular readers of our work will be familiar with our Corporate Health Monitor (CHM) framework. In this approach, we combine financial ratios that are most important for corporate creditworthiness of the entire non-financial corporate sector of a given country into a summary indicator that is designed to track corporate credit spreads. We introduced a Canadian CHM in April 2018, both using top-down national accounts data and aggregated bottom-up ratios from actual company financial statements.4  The latest reading from our top-down and bottom-up Canadian CHMs suggest that the overall health of Canadian corporates is decent, with the CHMs both below the zero line (Chart 8).5  Digging into the individual ratios, however, does reveal some potential signs of future weakness.  Leverage is relatively high, while profitability metrics and interest coverage ratios are at the low end of the historical range.  However, in our CHM framework, how the latest data compares to the medium-term trend – rather than the absolute level of the ratios - is most relevant for corporate bond performance. On that front, the latest data points for the CHM ratios do represent modest improvements versus the levels seen in 2014 and 2015, which is why our CHMs remain in the “improving health” zone. The more cyclically-driven ratios (profit margins, return on capital, interest coverage) declined amid the sharp plunge in Canadian economic growth at the end of 2018. However, given the recent reacceleration visible in some Canadian economic data, those cyclically-driven ratios may end up showing signs of stabilization, if not improvement, once the underlying CHM data for Q2/2019 and Q3/2019 are available. Looking ahead, Canadian corporate debt would be vulnerable to spread widening (rising risk premiums) in the event of a sustained slowing of the Canadian economy, given the poor absolute levels of the CHM component ratios. With the BoC maintaining an accommodative monetary policy stance, however, and the Canadian economy likely to continue growing at a trend-like pace supported by consumer spending, we think the backdrop will remain conducive to credit spread stability in Canada over the next 6-12 months. With the BoC maintaining an accommodative monetary policy stance, however, and the Canadian economy likely to continue growing at a trend-like pace supported by consumer spending, we think the backdrop will remain conducive to credit spread stability in Canada over the next 6-12 months. Bottom Line: The financial health of Canadian companies remains a positive for corporate bond returns on a cyclical basis, but there are longer-term concerns given high leverage and mediocre profitability. Canadian Corporate Bond Sector Valuation For IG corporate sectors in the U.S., euro area and the U.K., we utilize a relative value framework to rank credit spreads within the benchmark corporate universe.  We can apply that same approach to assess valuations of Canadian corporate bond sectors. In our sector relative value model, the “fair value” option-adjusted spread (OAS) for each sector within the Bloomberg Barclays Canadian IG Corporate index is estimated based on a panel regression. The explanatory variables in the regression are the modified duration, convexity and credit rating of each industry sub-sector within the index. The regression produces a set of common coefficients for all sectors that can be used to estimate a fair value OAS for each industry group as a function of its own interest rate duration, convexity and credit quality – all important drivers of corporate bond returns. The Risk-Adjusted Valuation is the difference between each sector’s current OAS and the model estimate of the sector’s fair value OAS.  A positive Risk-Adjusted Valuation implies undervaluation for the sector in question, and a negative reading implies overvaluation. Table 2 shows the recommended positioning of the Canadian IG industry sectors based on our relative value model. Sectors with positive Risk-Adjusted Valuations have overweight allocations versus the benchmark, with the opposite holds true for sectors with negative valuations. Sectors with spreads that are very close to fair value (within a range of +5bps to -5bps) have only a neutral recommended weighting versus the benchmark. Table 2Canada Investment Grade Corporate Bond Aggregate: Sector Relative Valuation* Chart 9 depicts the risk/reward tradeoff between the valuation metric and the riskiness of each sector as measured by its duration-times-spread (DTS).  Valuation is measured along the vertical axis of the chart, while DTS is measured along the horizontal axis. Sectors with higher DTS exhibit greater excess return volatility and are thus riskier. In the current environment of heightened uncertainty and slowing global growth, but with the BoC and other global central banks responding with a more dovish monetary policy stance, targeting cheap sectors that are less risky (i.e. DTS scores close to or below the average DTS of all sectors) is a prudent strategy.  Those would be sectors that appear in the upper left quadrant of Chart 9, like Metals & Mining, Finance Companies and Office REITs. Chart 10Positive Support For Canadian Consumer Cyclicals We also see a case for overweighting the cheap Consumer Cyclical Services sector, even with a DTS that is modestly higher than the overall index, given the continued strength in the Canadian labor market which supports consumer confidence through rising earning power (Chart 10). Recommended underweights are in the bottom right quadrant of Chart 9, with expensive valuations and high DTS scores, like Utilities: Natural Gas, Utilities: Electric, Supermarkets and Food & Beverage. Bottom Line: Favor Canadian corporate bond sectors with cheap valuations and spread volatility close to that of the overall benchmark index. Investment Conclusions Chart 11Canadian Corporates Outperformance Vs U.S. Will Continue Canadian IG corporates now offer a potential opportunity to diversify corporate bond exposure away from the larger markets in the U.S. and Europe.  The Canadian economy remains resilient despite slowing global growth, while the fundamental drivers of Canadian corporate bond returns are stabilizing or even improving. At the same time, the economic weakness abroad and heightened trade/political uncertainty will ensure that the BoC maintains an accommodative monetary stance over the next 6-12 months. That is not to say that Canadian corporates are not without risk. Canada is not a low-beta market - spreads do widen during “risk-off” periods in global financial markets. Also, underlying Canadian corporate credit fundamentals look poor on a long-term basis; Canadian private sector debt levels are high (especially for households); and the export-intensive Canadian economy is vulnerable to any incremental deceleration of global growth in particular, and the US more specifically.  Yet as a relative value trade versus the much larger corporate bond market to the south, Canadian corporates are well positioned to continue their recent bout of outperformance versus U.S. equivalents over the next 6-12 months, for the following reasons (Chart 11): While markets are priced for rate cuts from both the Fed and the BoC, the starting point for monetary conditions is easier in Canada than in the U.S. given the much weaker level of the Canadian dollar compared to the U.S. dollar. There is a wide gap between the corporate credit fundamentals in Canada and the U.S. according to our top-down Corporate Health Monitors for both countries, such that Canadian balance sheets are more robust. There is a wide gap between the corporate credit fundamentals in Canada and the U.S. according to our top-down Corporate Health Monitors for both countries, such that Canadian balance sheets are more robust. Bottom Line: We recommend that domestic Canadian investors continue to stay overweight Canadian corporates versus Canadian government bonds, while keeping an overall level of spread risk close to benchmark. Global credit investors that have access to the Canadian corporate bond market should consider allocations out of U.S. investment grade corporates into Canadian equivalents. Ray Park, CFA, Research Analyst ray@bcaresearch.com Robert Robis, CFA,  Chief Fixed Income Strategist rrobis@bcaresearch.com  Footnotes 1 Throughout this report, we solely use data on Canadian corporate debt from the Bloomberg Barclays bond indices, which is the main index data we use in all our global bond research. Comprehensive data is also available from other providers such as FTSE Russell and S&P Global. 2 Bank of Canada September 2018 Staff Analytical Note 2018-31, “Have Liquidity and Trading Activity in the Canadian Corporate Bond Market Deteriorated?” 3 https://www.bankofcanada.ca/2019/06/business-outlook-survey-summer-2019/ 4 Please see BCA Global Fixed Income Strategy Weekly Report, “BCA Corporate Health Monitor Chartbook Update: Growth Is Papering Over The Cracks”, dated April 24, 2018, available at gfis.bcaresearch.com 5 A CHM below zero implies improving financial health, while a CHM above zero indicates deteriorating financial health. Thus, the direction of the CHM is designed to be positively correlated with corporate credit spreads.