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Special Report Highlights A recovery in Chinese auto sales is not imminent. Car sales will likely stage only a rate-of-change improvement, moving from deep to mild contraction or stagnation over the next three-to-six months. Low-speed electric vehicles are a cheap substitute for regular low-end cars. Their production requires fewer inputs and parts compared to cars. Hence, their rising penetration will be negative for economic activity at the margin. Auto ownership will continue to rise in China in the years to come. However, this does not necessitate rising car sales. In fact, auto ownership can increase with car sales contracting in each consecutive year. This scenario represents a major risk to auto stock prices. Feature Chart 1Chinese Auto Sales: An Extended Downturn Chinese automobile sales have been deep under water for 15 consecutive months. The magnitude of the contraction has been even worse than the one that occurred in 2008-‘09. Annualized sales1 have declined from a peak of nearly 30 million units in June 2018 to 26 million this September (Chart 1). To put this 4-million-unit decline into perspective, only about 5 million units of automobiles were produced in Germany last year. Given the already long and deep contraction, does this mean Chinese auto sales and production are about to stage an imminent recovery? Although a revival sometime next year is plausible, we are not positive in the near term. Car sales will stage a rate-of-change improvement only, moving from deep to mild contraction or stagnation (i.e. zero growth) the next three to six months (Chart 1, bottom panel). Gauging The Demand Outlook Chart 2Marginal Propensity To Spend Is Falling Reluctance to purchase a car and curtailed financing are the causes of the deep auto sales contraction in China. The factors that have weighed on consumers’ willingness to purchase cars remain intact. First, our indicator for household marginal propensity to spend continues to fall, indicating no immediate signs of a turnaround (Chart 2). Cyclically, decelerating economic activity is weighing on income expectations, prompting consumers to delay their discretionary spending. Besides, the growth rate of disposable income per capita is at the lower end of its historical range and is falling in real (inflation-adjusted) terms (Chart 3). In addition, Chinese households are more leveraged now than their U.S. counterparts (Chart 4). Their debt levels have reached over 120% of annual disposable income. Chart 3Real Disposable Income Growth Is Weakening Chart 4Chinese Households Are Increasingly Indebted   Meanwhile, the U.S.-China confrontation continues to foster uncertainty among consumers and businesses in the Middle Kingdom. Although some sort of agreement was reached last week, the future of longer-term U.S.-China relations remains highly uncertain. Hence, the potential “phase-one” trade agreement is unlikely to shift Chinese consumers’ and businesses’ overall cautious sentiment. These factors will continue to weigh on consumers’ purchasing behavior, especially on big-ticket items like automobiles. Reluctance to purchase a car and curtailed financing are the causes of the deep auto sales contraction in China. Second, Chinese auto financing penetration rate – measured as the proportion of autos bought using borrowed funds – has risen from 20% in 2014 to about 48%2 last year. This remains well below the 70%-plus penetration rate in major western countries (the U.S., Germany and France), but is not far from the 50% rate in Japan. The rapid increase in the use of auto financing has facilitated auto sales in China over the past several years. Financing for auto purchases has been provided by banks via loans and credit cards, dealer/manufacturer loans and peer-to-peer lending (P2P). While banks contribute about 40% of auto financing and auto dealers/manufacturers account for about 30%, the peer-to-peer platform has become the third major source of auto loans in recent years. Chart 5Limited Auto Financing From Peer-To-Peer Platforms However, since early last year, bankruptcies and closures of P2P platforms have significantly reduced available auto financing. P2P financing continues to shrink, further depressing loans for auto purchases (Chart 5). Third, there is an ongoing structural decline in consumers’ willingness to purchase cars due to greater traffic congestion, limited parking and improved public transportation. In addition, greater use of ride-sharing and car-sharing services, which the government is aiming to promote, will also continue to reduce the need to buy a car. Concerning government incentives for auto buyers, auto sales have failed to recover, so far this year, despite policy support and significant auto price cuts (Box 1). Although the government recently loosened some restrictive auto sales policies in certain cities,3 the scale was much smaller than what was done earlier this year. As in any market, production decisions are driven by sales, not inventories. Box 1 Policy Support And Auto Price Cut During January-September 2019 Since late January, Chinese authorities have released a set of pro-auto-consumption measures aimed at spurring auto sales. These measures include the approval of 100,000 new license plates in Guangzhou province and an additional 80,000 in Shenzhen. Since May, auto dealers in China have slashed prices of their Emission Standard 5 cars in order to liquidate inventories, as 15 provinces/provincial level cities have been implementing the new emissions standards since July 1, 2019 – one year earlier than the national implementation deadline. According to the law, vehicles that do not meet the new standard will not be allowed to be sold or registered once the new standard is implemented. Another pertinent question to address is whether inventories can be used to identify a bottom in this industry. This is difficult to gauge in China, as inventories at different stages of the supply chain are currently sending conflicting signals. Manufacturers’ inventories have dropped to low levels (Chart 6). Yet, dealers’ inventories remain elevated according to the newly released inventory data for September (Chart 7). Chart 6Auto Manufacturers Inventories Are Low... Chart 7...But Dealers Inventories Remain Elevated   Chart 8Auto Demand Drives Production As in any market, production decisions are driven by sales, not inventories. The chain reaction always starts from demand: rising sales lead to rising production. Producers do not typically ramp up output when sales are falling, even if inventories are low (Chart 8). Without a strong and durable rise in demand, manufacturers will not significantly increase their inventories. In short, low car inventories among manufacturers could lead to a short-term rise in output. A sustainable and lasting recovery in production, however, is contingent on a cyclical revival in auto sales. Bottom Line: A cyclical recovery in auto sales is not imminent in the next three-to-six months. A Threat From A Cheap Substitute In many small cities (from Tier 3 to Tier 6 cities), towns and villages where auto buyers are more sensitive to prices, consumers are opting to purchase low-speed electric vehicles (LSEVs) – a cheap substitute for regular autos. Last year, LSEV makers sold about 1.5 million units in China, accounting for about 6% of passenger vehicle sales for the year. In comparison, even with massive government subsidies, total new energy vehicle (NEV, mainly including pure electric vehicles and plug-in hybrids) sales only reached 1.2 million units in 2018, 20% lower than LSEV sales. In many small cities, towns and villages consumers are opting to purchase low-speed electric vehicles (LSEVs) – a cheap substitute for regular autos. LSEVs are small, short-range electric vehicles (three- or four-wheeled cars) with top driving speeds below 80km per hour and with a similar look to regular cars.4 They have much lower technical and safety standards: LSEVs are not considered automobiles by the country’s motor vehicle management system. Consequently, official auto production and sales data released by authorities do not include LSEV figures. Chart 9Significant Output Expansion In Low-Speed Electric Vehicles Technically, these vehicles are within some sort of grey area of Chinese regulations, but that has not stopped the industry's remarkable growth. Shandong province accounts for about 40% of the country’s LSEV output. The dramatic LSEV production expansion in the province gives a glimpse into the booming LSEV industry in China (Chart 9). Last year’s LSEV production drop was due to the government’s tightening of LSEV output policies and greater competition from small-size pure electric vehicles, which benefited from government subsidies. Both factors have diminished this year due to policy changes and the termination of subsidies for the small-size pure electric vehicle. Looking forward, consumers will continue purchasing LSEVs as a substitute for lower-end cars. They will have negative effect on low-end car sales, especially when household budgets tighten. Table 1 lays out the main differences between an LSEV and a lower-end passenger car. Clearly, the most attractive feature of an LSEV is its price, which can be as cheap as 10,000 RMB (less than US$2,000) with a big proportion of LSEVs ranging from 20,000 RMB to 30,000 RMB. In comparison, prices of lower-end passenger vehicles in general range from 50,000RMB to 80,000 RMB, more expensive than LSEVs. As nearly half of Chinese households already own an automobile, the potential of future auto sales clearly lies in lower-income households. However, the 2018 NBS household survey showed the annual household disposable income for the lowest 60% percentile rural households was lower than the low-end price of regular auto – 50,000 RMB (US$ 7,050) (Chart 10). In comparison, a much cheaper LSEV will be affordable for them. Given that they are inferior goods, LSEVs could become even more attractive at times of weak disposable income growth. In addition to cheap prices, Box 2 reveals other attractive features that will make LSEVs the most convenient and affordable form of transportation for many potential auto buyers. This will also help promote the popularity of the LSEVs in small cities and rural areas. Table 1The Comparison Between LSEVs And Lower-End Passenger Cars Chart 10Low-Speed Electric Vehicles: Affordable For Lower-Income Households   Further, this year’s regulatory changes are also favorable for the LSEV industry (Box 3). This marked a clear policy reversal from last year when the government executed a crackdown on LSEV production and issued a policy prohibiting new capacity of LSEVs. Box 2 The Non-Price Reasons For The Increasing Popularity Of The LSEVs The LSEV is more convenient as it is easy to drive and to park because of its small size. The drive range of 100 km per charge of the battery is sufficient for a person who only uses it to go to work or pick up the kids from school. It is particularly useful in small cities and rural areas where the public transportation network is poor. The speed of 40-60 km per hour is also fast enough to drive in small cities and rural area where there are not much road traffic and the roads are often designed for low driving speed. LSEVs also have the benefit of being able to charge from home electrical outlets, eliminating the need to use public charging/fueling infrastructure. Box 3 Policy On LSEV Industry: More Favorable In 2019 Than In 2018 In March, the Ministry of Industry and Information Technology announced that by 2021 the national standards of the “Technical Conditions of Four-Wheel Low-Speed Electric Vehicles” would be established. This will eventually bring the LSEV market under the government’s supervision while giving LSEV makers two years to improve their technology. This will help improve the quality and safety measures of LSEVs. In May and June, over 20 cities started to issue car plates for LSEVs and approved of the LSEVs right to be on the road. This signals that the government is aiming to regulate the LSEV sector in a positive way, rather than simply banning production. Bottom Line: Cheap LSEVs will be a low-cost substitute for regular low-end cars. Their production requires fewer inputs and parts compared to cars. Hence, their rising penetration will be negative for economic activity at the margin. What About NEV Demand? New Electric Vehicle (NEV) sales were a bright spot among all categories of auto sales in China last year, with year-on-year growth of 62%. However, NEV sales growth has decelerated considerably this year as the government began cutting subsidies (Chart 11). NEV sales will remain under pressure. Table 2 shows the timeline of China’s NEV subsidy exit plan, which was released in late March. The subsidy is set to be phased out by 2021. Chart 11New Electric Vehicle Sales Growth Will Slow But Remain Positive Table 2The China’s New Electric Vehicle Subsidy Exit Plan   In comparison to last year, there will be no subsidy at all for pure electric vehicles (PEVs) with recharge mileage of 250 kilometers and lower. This will make it more difficult for mini-PEVs to compete with LSEVs with respect to price. For PEVs with recharge mileage of 250 kilometers and above, the subsidy has also been cut significantly. However, we still expect NEV demand growth to remain positive. The government will continue to maintain zero sales tax on NEVs until the end of 2020. This gives it a major advantage over non-NEV vehicles, which carry the 10% sales tax. In addition, NEVs are exempt from license restrictions on car sales and time or area restrictions on on-road autos, in cities where such policies apply. This is an attractive privilege for car buyers to consider. Current NEVs that can achieve recharge mileage of 300-450 kilometers, sell at a price of RMB 100,000 to RMB 150,000 per unit. They are both affordable and appealing for upper-middle-income and high-income urban households who prefer either green options or energy cost savings. The recharge mileage is sufficient for most daily use, and prices are in line with prices of traditional gasoline or diesel cars. If and as auto sales fail to stage a notable recovery in the next several months, Chinese auto stock  prices will likely break down. Bottom Line: With the gradual phasing out of subsidies, the period of exponential NEV sales growth is over. Nevertheless, NEV demand growth will likely remain positive. Investment Implications Chart 12Chinese Auto Stock Prices Could Break Down There are three pertinent investment implications to consider. First, Chinese auto stock prices in the domestic A-share market have dropped by 60% from their 2017 highs, and have lately been moving sideways (Chart 12). Notably, these listed automakers’ per-share earnings have plunged, and the companies have cut dividends by more than the drop in their share prices (Chart 13). As a result, their trailing P/E ratio has risen and the dividend yield has dropped (Chart 14). This implies that investors are looking through the current sales contraction and expecting an imminent recovery. Chart 13A Major Contraction In Corporate Earnings And Dividends Chart 14Rising Trailing P/E And Falling Dividend Yield   If and as auto sales fail to stage a notable recovery in the next several months, these share prices will likely break down. Second, petroleum demand growth from the transportation sector will be decelerating in China over the coming years. Rising NEV sales as a share of total auto sales, substituting autos for LSEVs and a slower pace of growth in the number of vehicles on roads imply diminishing demand for gasoline in the coming years (Chart 15). Today BCA’s Emerging Markets Strategy service is also publishing a Special Report discussing India’s demand for oil. The report argues for slowing growth in Indian oil demand. Combined, China and India make up 19% of the world’s oil consumption (slightly lower than the 21% accounted for by the U.S.), and weaker demand growth in these economies is negative for oil prices. Third, investors should differentiate between a long-term economic view and investment strategy. We do not disagree with the economic viewpoint that auto ownership will rise in China in the years to come. But this will happen even if auto sales decline on an annual basis over the next 10 years. Chart 16 illustrates this point: if annual auto sales drop by 2% during each consecutive year over the next decade, and the scrap rate is around 3%, car ownership, defined as the share of households owning one car, will continue to rise from the current 50% level, reaching 80% by 2030. Chart 15Falling Growth In Existing Vehicles Entails Slower Growth In Gasoline Demand Chart 16Stimulation: Car Ownership Can Rise With Shrinking Auto Sales   Nevertheless, such a scenario – a 2% annual drop in car sales in each consecutive year over the next decade - is bearish for automakers’ share prices. Any stock price is very sensitive to long-term growth expectations for corporate earnings.5 A 2% recurring annual drop in car sales will be disastrous for auto stock valuations. This is a case when the long-term economic view on rising prosperity and car ownership in China stands in contrast with a negative investment outcome for the auto sector and its shareholders. Ellen JingYuan He, Associate Vice President ellenj@bcaresearch.com   Footnotes 1      Sales of total automobiles, including passenger vehicles and commercial vehicles. 2      From Chinese Banking Association Report on June 18, 2019. https://www.china-cba.net/Index/show/catid/14/id/26688.html 3      Guangzhou further added 10,000 car plates open to the public while Guiyang eliminated cap on new-vehicle sales. 4      https://www.wsj.com/video/big-in-china-tiny-electric-cars/CF7E986A-7C70-4EE3-8F7B-441621F10C94.html 5      The reason is that both interest rates and earnings long-term growth rate are present in the denominator of any cash flow discount model (Stock Price = Expected Dividends / (Interest rate – Earnings long-term growth rate)). Hence, they have the potential to affect share prices exponentially while dividends/profits are present in the numerator so their impact on equity prices is linear.
Pervasive global policy uncertainty continues to fuel USD safe-haven demand. This keeps the Fed’s broad trade-weighted dollar index for goods close to record highs, which continues to stifle oil demand. At present, we do not expect this pervasive uncertainty to dissipate. For this reason, we are lowering our oil-demand growth expectation slightly for this year and next. Our estimate of global supply growth is slightly lower for this year and next, as well; we continue to expect OPEC 2.0 to maintain production discipline and for capital markets to restrain U.S. shale-oil growth.1 Our price forecast for 4Q19 is $66/bbl on average, an estimate that includes a risk premium reflecting continued tension in the Persian Gulf. Our updated supply-demand balances for 2020 reduce our Brent price forecast to $70/bbl versus our earlier expectation of $74/bbl. We continue to expect WTI to trade $4.00/bbl below Brent next year. Highlights Energy: Overweight. The Trump administration likely will not renew Chevron’s waiver to operate in Venezuela when it expires October 25. This raises the likelihood the country’s oil output will fall below 300k b/d, down from the 650k b/d we currently estimate.2 Production could revive next year, if Russian or Chinese firms step in to fill the void. This is not certain, however, as the U.S. is pressing both to end their support for the Maduro regime. Separately, the Aramco IPO could occur as early as November, according to press reports. Base Metals: Neutral. Copper treatment and refining charges in Asia are staging a recovery, clocking in at $56.70/MT at the end of last week, according to Metal Bulletin’s Fastmarkets. The MB index fell to a record low of $49.20/MT in late August. Precious Metals: Neutral. Gold volatility remains elevated – standing at 15.1% p.a. on the COMEX – as markets continue to process news re a partial easing of tensions in the Sino-US trade war. Geopolitical tensions, which now encompass Turkey-US relations, remain elevated. Ags/Softs: Underweight. Uncertainty around a partial deal involving ag exports from the U.S. to China remains high, as negotiators deliberately minimize expectations of a successful outcome. The big sticking point appears to be whether U.S. tariffs on Chinese imports due to kick in in December will be removed. Feature Uncertainty arising from global economic policy risk continues to dominate commodity markets. This has been the case going on three years. While it is ubiquitous, it is difficult to isolate. In earlier research, we noted the tightening of global financial conditions – largely the result of the Fed’s rates normalization policy, which resulted in four rate hikes last year, and China’s deleveraging policy – were responsible for the sharp slowing of oil demand seen in 2H18-1H19.3 Recently concluded research allows us to extend our earlier thesis to account for the effect of pervasive global policy uncertainty over the past three years, which has dominated our analysis of commodity markets generally, oil in particular. To wit: We find a strong, positive correlation between uncertainty, as measured by the Baker-Bloom-Davis Global Economic Policy Uncertainty (GEPU) index, and the Fed's USD broad trade-weighted index for goods (TWIBG) from January 2017 to now (Chart of the Week).4 Chart of the WeekUSD Absorbs Global Policy Uncertainty USD Absorbs Global Uncertainty Sudden policy shifts have, over the past three years, resulted in a steady increase in the level of the GEPU index. Prior to 2017, the correlations between the GEPU index and the USD TWIBG were running at 33% and 63% for the periods 2000 to 2016 and 2010 to 2016, the post-GFC period for y/y returns. However, as right- and left-wing populism gained ground globally and monetary policy generally became more “data dependent” and ad hoc at the Fed, ECB and BoJ, the GEPU and USD TWIBG indices became highly correlated, surpassing 90% (Chart 2).5 This period saw the U.S. become more and more assertive vis-à-vis trade and foreign policy, particularly in re China, Iran and Venezuela, which caused those states to implement their own policy responses. In addition, as monetary policy generally became increasingly accommodative, central banks – and policy analysts – became less certain about the effects of their policies on the broader economy (e.g., the Fed shifting away from rates normalization, the ECB’s re-launching of QE, and the BoJ’s interest-rate targeting regime). Chart 2Co-Movement In GEPU, USD TWIBG Often, commodity markets were forced to adjust to sudden policy changes – e.g., the imposition of trade tariffs against China, or the granting of waivers to Iran’s eight largest importers in November 2018 just before oil-export sanctions were re-imposed. Sudden policy shifts have, over the past three years, resulted in a steady increase in the level of the GEPU index. Increasing uncertainty translated into a steadily increasing USD TWIBG, with safe-haven demand for dollars rising, as the Chart of the Week indicates. To date, we have not decomposed the drivers of monetary conditions, particularly in re central-bank accommodation versus global economic policy uncertainty on the evolution of the USD. The GEPU index hit a record high in August 2019, while the USD TWIBG hit a record in September 2019. It is possible the effects of general policy uncertainty could be cumulative – as earlier uncertainties remain unresolved and new ones are added to the global mix (e.g., US-Turkey foreign-policy tensions now have been added to other geopolitical risks). It is entirely possible global monetary policy easing – particularly from the Fed – is accommodating safe-haven demand accompanying higher uncertainty. If the Fed were to tighten while uncertainty remains elevated the USD could rally sharply and impact commodity demand even more. Persistent USD Strength Lowers Oil Price Forecast Based on our analysis, the effects of the uncertainty we observe in the USD above are transmitted to GDP globally, which feeds through to commodity demand. As the USD strengthens, it raises the local-currency cost of commodities and the cost of servicing USD-denominated debt ex-US. In addition, on the supply side, a stronger dollar lowers local production costs at the margin, which stokes deflation globally.  All else equal, these effects push oil prices lower by reducing demand and increasing supply at the margin. On the back of a stronger USD and persistent uncertainty, we are once again lowering our estimate of global demand growth. This is most pronounced in EM economies (Chart 3), but there are feedback effects into DM in the form of reduced trade volumes, which hits manufacturing economies like Germany harder than service-dominated economies like the US. On the back of a stronger USD and persistent uncertainty, we are once again lowering our estimate of global demand growth to 1.13mm b/d this year and 1.40mm b/d in 2020 (Chart 4). This is down slightly from 1.2mm b/d this year and 1.5mm b/d next year. In line with the U.S. EIA, we also lowered our estimate of 2018 demand, which has the effect reducing the level of demand we expect in 2019 and 2020. Chart 3Local-Currency Oil Costs Are High Chart 4BCA Research Supply-Demand Balances We maintain our expectation fiscal and monetary stimulus globally will revive demand, but, given the deleterious effects of global uncertainty and its effects on demand via the USD, we are moderating our position some, as the downward adjustment to consumption indicates. On the supply side, we expect KSA’s output to be fully restored by November, and for production in the Kingdom to average 9.9mm b/d in October and November. We are expecting overall OPEC 2.0 output growth of 250k b/d on average in the 2Q20 to 4Q20 interval, down from our previous growth estimate of 500k b/d. In the US, we expect shale-oil output to grow 900k b/d in 2020, versus 1.3mm b/d in 2019, which will leave overall U.S. crude output at 13.3mm b/d next year on average, as capital-market constraints continue to act as a governor on total output (Chart 5). Chart 5U.S. Shale-Oil Output Will Remain Capital-Constrained Overall, we expect global supply to finish 2019 at 100.8mm b/d and at 102.3mm b/d next year, which is down slightly from our earlier estimates (Table 1). Even with demand moderating, we expect inventories to continue to draw this year and into 3Q20 before they resume building, as the combination of OPEC 2.0 production discipline and capital markets constrain output (Chart 6). Chart 6OECD Oil Inventories On Track To Draw Table 1 Investment Implications Continued voluntary and involuntary production restraint will allow global inventories to draw despite slightly lower demand. Given our supply-demand expectations, we forecast Brent will trade lower next year, at $70/bbl on average versus our earlier expectation of $74/bbl. This is ~ $10/bbl above the median consensus. We continue to expect WTI to trade $4.00/bbl below Brent next year. Continued voluntary and involuntary production restraint will allow global inventories to draw despite slightly lower demand, which will keep Brent and WTI forward curves backwardated next year (WTI was in a slight carry earlier this week, while Brent was backwardated). We would caution that any resolution of the profound uncertainty currently dogging global markets could unleash pent-up demand that would sharply rally commodities generally, and oil in particular. This could take the form of a broad trade agreement that ends the Sino-US trade war – an unlikely, but not impossible,  turn of events – or an unexpected reduction in tensions in the Persian Gulf, again, unlikely but not impossible. Bottom Line: Resolution of global policy uncertainty would revive commodity demand, as safe-haven USD demand gives way to higher consumer spending, renewed growth in global trade and investment. Until then, uncertainty will continue to hamper commodity demand growth, particularly for oil.   Robert P. Ryan, Chief Commodity & Energy Strategist rryan@bcaresearch.com Hugo Bélanger, Senior Analyst Commodity & Energy Strategy HugoB@bcaresearch.com   Footnotes 1      OPEC 2.0 is the moniker we coined for the producer coalition formed at the end of 2016 to regain control of production following the disastrous market-share war launched by OPEC in 2014, which took Brent prices from above $100/bbl to $26/bbl by early 2016.  The coalition is led by the Kingdom of Saudi Arabia (KSA) and Russia. 2      Please see Venezuelan oil output could be halved without Chevron waiver extension: analysts, posted by S&P Global Platts October 14, 2019.  3      Please see our report entitle Central Bank Easing Key To Oil Prices, published September 5, 2019.  It is available at ces.bcaresearch.com. 4      This GEPU is a monthly GDP-weighted index of newspaper headlines containing a list of words related to three categories – “economy,” “policy” and “uncertainty.”  Newspapers from 20 countries representing almost 80% of global GDP (on an exchange-weighted basis) are scoured monthly to create the index.  Please see GEPU and Baker-Bloom-Davis for additional information. 5      Both series are plotted as percent changes y/y in Chart 2. For the 2017 - 2019 period, the coefficient of determination for this model is 0.81 using a regression of the USD on the GEPU.  There was no statistically significant relationship between them either from 2000 to 2016, or from 2010 to 2016.  Insert SOFTS text here Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades TRADE RECOMMENDATION PERFORMANCE IN 2019 Q3 Commodity Prices and Plays Reference Table Trades Closed in 2019 Summary of Closed Trades
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  
Dear Client, In lieu of our regular Weekly Report this week, tomorrow we will be publishing a joint Special Report on the Chinese automobile industry outlook with our Emerging Markets Strategy service, authored by my colleague Ellen JingYuan He. Best regards, Jing Sima China Strategist Feature Chart 1Chinese Economy Likely To Bottom In Q1 President Trump announced last Friday the first phase of a potential trade agreement with China. For now, the most concrete aspect of the announcement has been the deferral of an increase in tariffs that had been scheduled to occur this week, in exchange for agriculture purchase commitments from China. Market participants initially reacted with caution to the news, given the U.S. administration’s about-face in early-May and given signs from Beijing that China “needs time” to finalize a deal. However, Chinese policymakers have subsequently played up the progress made during the negotiations, and characterized both sides as being on “the same page”. We noted in last week’s report that China’s economy was likely to stabilize in Q1 of next year (Chart 1), but that a further shock to China’s external sector and/or internal policy missteps could easily tip the Chinese economy into a deeper growth slowdown.1 This, to us, justified a tactically bearish stance towards Chinese stocks, despite our positive cyclical bias. Indeed, following our tactical underweight call initiated on July 24,2 relative to global stocks, Chinese investable stocks dropped nearly 3% in the months of August and September in reaction to intensified trade tension. Chart 2Chinese Stocks Have Been Underperforming Since Late April While it is not yet clear how substantive the final deal between the U.S. and China will be, it is our judgment that the odds of a further escalation in the trade war have legitimately fallen over the past week. Both sides of the negotiating table have strong incentives to reach a deal (particularly the U.S.), and both U.S. and Chinese policymakers may finally be acting in a way that is consistent with each side’s respective constraints. As such, we no longer feel that a tactical underweight stance is warranted, and we recommend that clients maintain a neutral stance towards Chinese stocks over the near term. The potential for the talks to collapse once again is keeping us from recommending an outright overweight tactical stance, as well as the small but still non-trivial chance that the final deal is not meaningful enough to help revive economic activity. Cyclically, a substantive trade deal would be bullish for Chinese stocks, as the relative performance of both the investable and domestic markets are meaningfully below their late-April highs (Chart 2). The stimulus that policymakers have already provided should be enough to stabilize Chinese domestic demand, and a trade deal should help reinforce a stabilization in sentiment and activity over the coming year. However, one risk to our cyclical positioning is that the removal of uncertainty for China’s exporters strengthens the will of Chinese policymakers to curb “excess” credit growth. For now, this remains “a story for another day”, as investors will almost certainly bid up Chinese stocks (particularly the investable market) in reaction to a deal. But the behavior of China’s credit impulse following the surge in Q1 of this year underscores that policymakers are very serious about preventing another significant rise in the macro leverage ratio. This could lead to a less optimistic outlook over the coming 6-12 months than we originally expected when we recommended upgrading Chinese stocks earlier this year, and is a risk that we will be continually monitoring over the coming months. Stay tuned!   Jing Sima China Strategist JingS@bcaresearch.com   Footnotes 1      Please see China Investment Strategy Weekly Report, “Mild Deflation Means Timid Easing”, dated October 9, 2019, available at cis.bcaresearch.com 2      Please see China Investment Strategy Weekly Report, “Threading A Stimulus Needle (Part 2): Will Proactive Fiscal Policy Lose Steam?”, dated July 24, 2019, available at cis.bcaresearch.com   Cyclical Investment Stance Equity Sector Recommendations
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
Special Report Feature Financial market stability depends on the availability of liquidity – which means the ability to switch between the market and cash in unlimited size and in either direction without destabilising the market price. Therefore, a fundamental question for investors is: why does liquidity sometimes evaporate and the market lose its stability? (Chart I-1). Feature Chart1929 Wall Street Crash: A Collapsed Fractal Structure Was The Straw The Broke The Camel's Back To answer this question, let’s turn it around: what is the source of market liquidity in the first place? The simple answer is disagreement. If an investor A wants to buy a large quantity of an investment without moving the price, then he must find an investor B who is willing to take the other side and sell the large quantity. Necessarily, this means that the large buyer and the large seller must disagree about the merits of the investment at the current price. It follows that liquidity evaporates and the market loses its stability if there is too much groupthink. After all, if everybody agrees, who will take the other side of the trade without destabilising the price? Market Liquidity Requires A Rich Fractal Structure Why do investors A and B disagree about the merits of the investment when they have the exact same information? The answer is that a healthy market comprises investors with a wide spectrum of investment horizons. This means that two investors can interpret the same information in polar opposite ways. Let’s say a ‘profit surprise’ causes the market price to gap up in euphoria. Investor A, a momentum trader, would interpret that as positive momentum, so he would put on a large buy order. Conversely, investor B, a long-term value investor, would interpret the exaggerated price move as an erosion of value, so he would put on a large sell order at the same price. The two investors have the same ambition: to make money. The difference is that the momentum trader sees the world in time units of days, whereas the long-term value investors sees the world in time units of years. A healthy market comprises investors with a wide spectrum of investment horizons. The presence of these various time horizons means that a healthy market’s price patterns are scale invariant to the time units of measurement – say weeks or months (Chart I-2). This is directly analogous to the scale invariance to length shown by the twigs and branches of a tree (Figure I-1). Just like a healthy tree, the scale invariance of a healthy market defines it as a fractal structure. And we can quantify this by calculating its fractal dimension. For a financial market, a fractal dimension above 1.5 signifies healthy liquidity, efficiency, and stability. Chart I-2AA Healthy Stock Market's Price Patterns Are Scale Invariant Chart I-2BA Healthy Stock Market's Price Patterns Are Scale Invariant Figure I-1A Healthy Tree’s Structure Is Scale Invariant Conversely, a withering fractal structure – and declining fractal dimension – signifies a coalescing of investment horizons, and thereby an erosion of liquidity, efficiency, and stability. Too many value investors are joining the momentum herd rather than dispassionately investing on the basis of a valuation framework. At first, their additional buy orders add fuel to the rally. But a denouement occurs when the fractal dimension has collapsed towards its lower bound close to, but just above, 1. At this point, all the value investors have joined the momentum herd. If a value investor then suddenly reverts to type and puts in a large sell order, there are two possible outcomes: The trend reverses substantially to attract a large buy order from an ultra-long-term deep value investor who refuses to join the groupthink. The trend continues substantially, because the ultra-long-term deep value investor jumps on the momentum bandwagon too. It turns out that out of these two possibilities, the probability of a trend reversal is much higher than that of a trend continuation (Chart I-3). Chart I-3Dollar/Yen: Collapsed Fractal Structures Cause Long-Term Tops And Bottoms When The Fractal Structure Collapses, The Probability Of A Trend Reversal Is 60-70 Percent Almost exactly five years ago in our Special Report “The Universal Constant of Finance” we developed the mathematics to calculate the fractal dimension for any financial asset for any pair of investment horizons (Box I-1). Meaning that the 65 day dimension would measure the fractal structure for the 1 day and 65 day (1 quarter) horizons; the 60 month dimension would measure it for the 1 month and 60 month (5 year) horizons; and so on.1 Box I-1Calculating A Fractal Dimension When the fractal dimension collapsed to its lower bound, we found that the previous trend during the period defined in the dimension – 65 days for a 65 day dimension, 60 months for a 60 month dimension, and so on – had a much higher probability of reversing by a third in the following period (a win) than continuing by a third (a symmetrical loss). In this sense, the collapsed fractal structure signalled the opportunity to toss a coin with the odds significantly tilted in your favour. In the subsequent five years, we have used collapsed fractal structures to recommend 150 countertrend trades in all asset-classes: equities, commodities, bonds, both directional and long/short, and FX. To emphasise, the trades are not back tests, they are live trades with initiations and closes recommended in real time. A denouement occurs when the fractal dimension has collapsed towards its lower bound close to, but just above, 1.  Today, we are delighted to report that out of 146 closed trades, 91 turned out as wins while 55 tuned out as losses, equating to a significantly tilted win ratio of 62.3 percent (Table I-1). Analysing the results by asset-class, this approach was particularly lucrative for FX and commodity long/short trades with win ratios of 67 percent (Table I-2). The equity directional and long/short win ratios were also comfortably above 60 percent. The bond win ratios were favourably tilted at just under 60 percent, albeit based on a much smaller sample of trades. Table I-1Fractal Trading System: Results By Year Table I-2Fractal Trading System: Results By Asset-Class How To Bet On A Rigged Coin: The Kelly Criterion Imagine you had the gift of calling a coin toss correctly 60 percent of the time. Would you have a licence to print money? Yes – but with a crucial caveat. If you foolishly bet everything on the first one or two tosses, the chances of going bust would be a not insignificant 40 and 16 percent respectively. Begging the question, what would be the optimal amount to wager on each toss? The answer comes from the so-called ‘Kelly criterion’ named after its creator J L Kelly, a researcher at Bell Labs, in 1956. In this case, the Kelly criterion says the optimal strategy is to bet 20 percent of your pot on each toss (Box I-2). Follow this strategy, and slowly but surely your wealth will mushroom. Box I-2How To Bet On A Rigged Coin: The Kelly Criterion What should a fund manager do faced with the same decision? For the fund manager the loss limit is not 100 percent, instead it is the maximum drawdown he can suffer before being fired. Let’s assume this limit is a 10 percent drawdown. This means the correct strategy for the fund manager is to bet one tenth of the Kelly criterion – 2 percent of the fund – on the rigged coin toss. All of which brings us back to the opportunities that collapsed fractal structures offer. If your maximum tolerable drawdown is 10 percent and the probability of a countertrend ‘win’ is around 60 percent, you should target a 2 percent profit from each collapsed fractal structure opportunity, accepting that in 40 percent of cases the outcome will be a 2 percent loss. Then repeat the strategy over and over again and watch your wealth mushroom.     How have our recommendations fared on the 2 percent profit target per trade basis? 91 wins and 55 losses means 36 net wins equalling an arithmetic 72 percent gain. However, a few wins and losses were partial in the sense that the trade did not reach its profit target or stop-loss before being closed. Allowing for this and the effects of compounding, the actual gain was 65 percent, equalling an annualised return of 11 percent since 2015. In terms of risk, the worst drawdown was 9.6 percent, just within the self-imposed 10 percent limit. Fractal analysis is particularly lucrative in the FX markets. To be clear, these results do not include any transaction costs. Against this, the outcome is handicapped by the ‘publishing delay’ between spotting the opportunities and writing a weekly report. Taking these two factors in combination, the outcome seems an accurate assessment of what the recommendations have achieved. The results are very satisfying, but this is still work in progress. Rather than an arbitrary one third reversal of the previous trend, a more calibrated amount – such as a Fibonacci retracement – might boost the win ratio. And by being more selective about which collapsed fractal structure opportunities to exploit the win ratio could be enhanced towards 70 percent. Henceforth, each week we will publish cumulative win ratios as these are the statistics that are most crucial for success. To conclude, the evidence is irrefutable: those investors that harness the lucrative opportunities that come from collapsed fractal structures can gain a major competitive advantage over those investors that do not. Fractal Trading System* Based on its collapsed fractal structure, the substantial underperformance of Poland is susceptible to a countertrend reversal. Accordingly, go long Poland versus the world, setting a profit target at 4 percent, with a symmetrical stop-loss. In other positions, short Athex composite versus Eurostoxx 600 closed in profit, while short New Zealand electricity versus market closed at its stop-loss. 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. Chart I-4MSCI Poland Vs. MSCI World 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 Please see the European Investment Strategy Special Report ‘The Universal Constant of Finance’ September 25, 2014 available at eis.bcaresearch.com. Fractal Trading System Fractal Trades 2018 Fractal Trades 2017 Fractal Trades 2016 Fractal Trades 2015 Fractal Trades
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
Highlights We still don’t see a recession occurring in the next twelve months, … : Recessions only occur when monetary policy is restrictive. It’s easy now, and it will be a while before conditions push the Fed to execute the requisite series of rate hikes to make it tight. … but that doesn’t mean that we don’t worry anyway, … : Although the inverted yield curve looks more like a reflection of the Fed’s asset purchases than a telltale sign of trouble, leading indicators have been moving in the wrong direction all year. … as survey data clearly indicate that household and business confidence is fragile: Consumer confidence indexes and the latest ISM surveys testify to a worsening mood. Hard data are faring better than soft data, but there is a danger that anxiety could become self-fulfilling. We remain constructive, but alert for risks to the growth outlook: The labor market remains vibrant enough to exert downward pressure on the unemployment rate, and services continue to expand despite the contraction in manufacturing, both here and abroad. The expansion has slowed, but it’s not finished yet. Feature Although the oil market quickly shrugged off last month’s attack on Saudi energy infrastructure (Chart 1), investors don’t lack for other concerns. It’s not easy for a business to commit to longer-term investment spending when U.S.-China negotiations yo-yo between thawing and frigid depending on the day, Brexit remains a pratfall wrapped in a farce inside an absurdity, and trenches are being dug for a bitter impeachment battle in Washington. Global export volumes have contracted on a year-over-year basis in six of eight months through July (Chart 2), casting a chill over multinationals’ profit outlooks. Workers know that companies cut headcount when profits fall, so consumer confidence is also subject to the ebb and flow of the trade negotiations. Chart 1Middle East Tensions Are So Last Month The worries are well known, but they could spark a recession themselves if they persist long enough. Chart 2If You Want Less Of Something, Tax It It would be hard to see the glass as half-full if markets hadn’t long since priced in the China and Brexit pressures. The impeachment spectacle is new, but we’re not sure what investors and businesses would have to fear from a Pence administration. It would be hard to see the glass as half-empty if survey data weren’t flagging a steady deterioration in sentiment that could sow the seeds of a recession. The bottom line is that it’s late in the cycle, and the combination of softening data and geopolitical tensions is chipping away at what’s left of investor optimism. Our Recession/Bear Market Indicator Tight monetary policy is a necessary, if not sufficient, condition for a recession. Over the 60-year period that we maintain estimates of an equilibrium fed funds rate, expansions have not stopped in their tracks when the fed funds rate crossed above our equilibrium estimate, but no recession has occurred unless it did (Chart 3). We currently estimate that the equilibrium rate is well above the 2% target rate, which appears to be headed for 1.75% at the FOMC meeting at the end of the month. Given the benign pace of current inflation, monetary policy should remain accommodative for all of 2020, provided our equilibrium estimate is in the ballpark. Chart 3Monetary Policy Is Easy And Getting Easier: Green Though we are confident that the Fed isn’t about to kill the expansion, the other components of our simple recession indicator are sending worrisome signals. The yield curve has been inverted for five straight months. An inverted curve has historically been a reliable indicator that monetary policy is too tight, and has therefore compiled an enviable track record for calling recessions (Chart 4). Today’s unprecedentedly negative term premium may well be scrambling the yield curve’s message, however, distorting comparisons with past periods.1 Chart 4The Curve Has Inverted, But ... : Yellow The year-over-year change in the Conference Board’s Leading Economic Index (LEI) is the other component of our recession indicator. The LEI has been just as reliable as the yield curve, and it is rapidly decelerating (Chart 5). We note, however, that the LEI has previously pulled out of two similar dives in this expansion, and it has not yet contracted. Given its heavy manufacturing focus, the LEI won’t likely begin to accelerate without a material easing of trade tensions, but a limited deal between the U.S. and China is not out of the realm of possibility. Chart 5LEI Growth Is Rapidly Decelerating: Yellow Bottom Line: One green light and two yellow lights are less than a resounding endorsement of the business cycle’s prospects, but the mix nonetheless argues for staying the risk-friendly course that has amply rewarded investors throughout the expansion. A Dismal Manufacturing ISM … The U.S. is impacted by global conditions with a lag, but September’s manufacturing ISM report confirmed that it is eventually impacted by them. Last Tuesday’s dreary manufacturing ISM report sparked a two-day sell-off in the S&P 500 that financial TV networks were quick to highlight as the worst start to a fourth quarter since the crisis. The composite index came in far below the 50 consensus, falling to its lowest level since June 2009, and spent a second consecutive month below the 50 boom/bust line for the first time since the 2015-16 global manufacturing recession (Chart 6, top panel). Crumbling exports (Chart 6, second panel) and stalled new orders (Chart 6, third panel) weighed on the composite reading. The only slight glimmer of hope was that a good-sized inventory contraction (Chart 6, fourth panel) allowed the New-Orders-to-Inventories ratio to rise (Chart 6, bottom panel). Chart 6The Global Manufacturing Slowdown Reaches The U.S. Chart 7Consumers Didn't Sweat The ISM ... The surprisingly bad report stoked another round of recession hand-wringing in the media, though not, apparently, among the broader public (Chart 7). The potential economic threat stems from the possibility that the release will discourage hiring and investment. The NFIB monthly jobs report released Thursday afternoon suggests that smaller businesses are still actively seeking to fill positions, though the pool of qualified applicants continues to shrink. The Atlanta Fed’s GDPNow model trimmed its projection of nonresidential fixed investment’s contribution to 3Q GDP from +10 to -10 basis points following the manufacturing ISM release, but it sees overall growth of 1.8%. … And Eroding Consumer Confidence … The leading consumer sentiment surveys have also been slipping, though they remain at high levels relative to their history (Chart 8). That dichotomy sustains the bull-versus-bear debate, as bulls point to the lofty level while bears cite the flagging direction. We will not resolve the level-versus-direction question here, but note that real consumption growth has exhibited a robust correlation with the expectations components of the surveys. Declining expectations point to a decline in consumption, but as long as the expectations index remains at or above the mid-90s, it appears that consumption will keep economic growth around its trend level (Chart 9). Chart 8... And They Remain Fairly Optimistic Chart 9Consumption Still Looks Fine … Square Off With Still-Solid Hard Data While the survey data have been steadily disappointing expectations (including, last week, the formerly redoubtable non-manufacturing ISM), hard data have been a source of positive surprises. Since the beginning of July, when the economic surprise index finally bottomed and went about the business of mean-reverting, measures of real activity have been encouraging (Chart 10). Though the September employment situation report showed that the pace of hiring is also slowing, and wage growth puzzlingly hit a wall, the broader definition of the unemployment rate broke below 7% for the first time since the peak of the dot-com boom and is only one tick above its all-time low (Chart 11). Robust year-to-date equity gains have pushed the multiple of household net worth to disposable personal income right back to its all-time highs, suggesting that there is little need for households in the aggregate to increase their savings rate (Chart 12). Chart 10Hard Data Have Cleared A Low Bar Chart 11The Labor Market Is Still Absorbing Slack Chart 12There's Room For The Savings Rate To Come Down Putting It All Together The U.S. is a comparatively closed economy that customarily reacts to global developments with a longer lag than its major-economy peers. It was due to slow this year from a declining domestic fiscal impulse, but global weakness has now begun to wash up on its shores. The question for investors is how far will the deceleration go? Is it simply a mid-cycle slowdown that will dent growth for a quarter or two, or is it the end of the expansion? The Fed has promised to act appropriately to sustain the expansion so many times this year that it’s become a mantra. Markets are taking it to heart, just as they did last Thursday, when the S&P 500 turned a 1% decline immediately after the release of the non-manufacturing ISM into a 1% gain, and Friday, when a mixed employment situation report gave rise to another 1% bump. Bad news is still good news for equities as long as investors believe the Fed is willing and able to ease monetary policy to mitigate risks to the growth outlook. In a world where monetary accommodation is currently the rule among central banks large and small, and the Fed has dry powder to ease, we think stocks are getting it right. There’s no lack of things for investors to worry about, but they shouldn’t forget that worry fuels bull markets. Our sanguine take is also supported by a useful trading maxim. When a stock doesn’t go down on bad news (or up on good news), it’s telling you something. In this case, we think the S&P 500’s repeated failure to capsize in the face of wave after wave of bad news reveals that it has already discounted a considerable amount of pessimism. If some significantly good news were to come out of U.S.-China trade negotiations, for example, stocks could resume their march higher in line with the historical bull market pattern of sprinting to the finish line. Investment Implications Fears that weak surveys could morph into weak activity are well-founded. There is clear potential for poor corporate and consumer sentiment to become a self-fulfilling prophecy. If corporate managers sit on their hands amidst uncertainty over trade rules, corporate investment and hiring could dry up. One person’s spending is another person’s income, and vice versa, and if households divert spending to saving, income will fall. If households turn tail at a time when skittish businesses have little appetite for investment, their savings will lie fallow, doing nothing but lowering interest rates, which could stoke additional anxiety about the growth outlook. We may not have much more to fear than fear itself, but that’s enough, given fear’s viral, self-reinforcing nature. The good news from our perspective is that we do not believe that businesses or households have reached the point of no return. Real final domestic demand (GDP ex-inventory adjustments and net exports) is holding up well despite the sharp market sell-offs in last year’s fourth quarter, the month-long federal government shutdown and the ongoing tariff follies. The labor market remains tight, which should help wage gains accelerate at a time when there’s little chance that the Fed will intervene to counter budding inflation pressures, opening the door to a virtuous circle. No cycle lasts forever, and this one is surely in its latter stages, though we remain positive over the three-to-twelve-month cyclical timeframe. We are more cautious in the near term, and it may well be appropriate to position portfolios more conservatively than normal over the zero-to-three-month tactical timeframe while keeping positions on a shorter leash. Though investors will have to live with an elevated sense of worry over the coming months, they shouldn’t lose sight of the fact that bull markets climb a wall of it. Doug Peta, CFA Chief U.S. Investment Strategist dougp@bcaresearch.com Footnotes 1 Please see BCA’s U.S. Investment Research Weekly Report titled “Everybody Into The Pool!,” published June 24, 2019. Available at usis.bcaresearch.com.
Special Report Highlights The Cold War is a limited analogy for the U.S.-China conflict; In a multipolar world, complete bifurcation of trade is difficult if not impossible; History suggests that trade between rivals will continue, with minimal impediments; On a secular horizon, buy defense stocks, Europe, capex, and non-aligned countries. Feature There is a growing consensus that China and the U.S. are hurtling towards a Cold War. BCA Research played some part in this consensus – at least as far as the investment community is concerned – by publishing “Power and Politics in East Asia: Cold War 2.0?” in September 2012.1 For much of this decade, Geopolitical Strategy focused on the thesis that geopolitical risk was rotating out of the Middle East, where it was increasingly irrelevant, to East Asia, where it would become increasingly relevant. This thesis remains cogent, but it does not mean that a “Silicon Curtain” will necessarily divide the world into two bifurcated zones of capitalism. Trade, capital flows, and human exchanges between China and the U.S. will continue and may even grow. But the risk of conflict, including a military one, will not decline. In this report, we first review the geopolitical logic that underpins Sino-American tensions. We then survey the academic literature for clues on how that relationship will develop vis-à-vis trade and economic relations. The evidence from political theory is surprising and highly investment relevant. We then look back at history for clues as to what this means for investors. Our conclusion is that it is highly likely that the U.S. and China will continue to be geopolitical rivals. However, due to the geopolitical context of multipolarity, it is unlikely that the result will be “Bifurcated Capitalism.” Rather, we expect an exciting and volatile environment for investors where geopolitics takes its historical place alongside valuation, momentum, fundamentals, and macroeconomics in the pantheon of factors that determine investment opportunities and risks. The Thucydides Trap Is Real … Speaking in the Reichstag in 1897, German Foreign Secretary Bernhard von Bülow proclaimed that it was time for Germany to demand “its own place in the sun.”2 The occasion was a debate on Germany’s policy towards East Asia. Bülow soon ascended to the Chancellorship under Kaiser Wilhelm II and oversaw the evolution of German foreign policy from Realpolitik to Weltpolitik. While Realpolitik was characterized by Germany’s cautious balancing of global powers under Chancellor Otto von Bismarck, Weltpolitik saw Bülow and Wilhelm II seek to redraw the status quo through aggressive foreign and trade policy. Imperial Germany joined a long list of antagonists, from Athens to today’s People’s Republic of China, in the tragic play of human history dubbed the “Thucydides Trap.”3 Chart 1Imperial Overstretch The underlying concept is well known to all students of world history. It takes its name from the Greek historian Thucydides and his seminal History of the Peloponnesian War. Thucydides explains why Sparta and Athens went to war but, unlike his contemporaries, he does not moralize or blame the gods. Instead, he dispassionately describes how the conflict between a revisionist Athens and established Sparta became inevitable due to a cycle of mistrust. Graham Allison, one of America’s preeminent scholars of international relations, has argued that the interplay between a status quo power and a challenger has almost always led to conflict. In 12 out of the 16 cases he surveyed, actual military conflict broke out. Of the four cases where war did not develop, three involved transitions between countries that shared a deep cultural affinity and a respect for the prevailing institutions.4 In those cases, the transition was a case of new management running largely the same organizational structure. And one of the four non-war outcomes was nothing less than the Cold War between the Soviet Union and the U.S. The fundamental problem for a status quo power is that its empire or “sphere of influence” remains the same size as when it stood at the zenith of power. However, its decline in a relative sense leads to a classic problem of “imperial overstretch.” The hegemonic or imperial power erroneously doubles down on maintaining a status quo that it can no longer afford (Chart 1). The challenger power is not blameless. It senses weakness in the hegemon and begins to develop a regional sphere of influence. The problem is that regional hegemony is a perfect jumping off point towards global hegemony. And while the challenger’s intentions may be limited and restrained (though they often are ambitious and overweening), the status quo power must react to capabilities, not intentions. The former are material and real, whereas the latter are perceived and ephemeral. The challenging power always has an internal logic justifying its ambitions. In China’s case today, there is a sense among the elite that the country is merely mean-reverting to the way things were for many centuries in China’s and Asia’s long history (Chart 2). In other words, China is a “challenger” power only if one describes the status quo as the past three hundred years. It is the “established” power if one goes back to an earlier state of affairs. As such, the consensus in China is that it should not have to pay deference to the prevailing status quo given that the contemporary context is merely the result of western imperialist “challenges” to the established Chinese and regional order. Chart 2China’s Mean Reverting Narrative In addition, China has a legitimate claim that it is at least as relevant to the global economy as the U.S. and therefore deserves a greater say in global governance. While the U.S. still takes a larger share of the global economy, China has contributed 23% to incremental global GDP over the past two decades, compared to 13% for the U.S. (Chart 3). Chart 3The Beijing Consensus Bottom Line: The emerging tensions between China and the U.S. fit neatly into the theoretical and empirical outlines of the Thucydides Trap. We do not see any way for the two countries to avoid struggle and conflict on a secular or forecastable horizon. What does this mean for investors? For one, the secular tailwinds behind defense stocks will persist. But what beyond that? Is the global economy destined to witness complete bifurcation into two armed camps separated by a Silicon Curtain? Will the Alibaba and Amazon Pacts suspiciously glare at each other the way that NATO and Warsaw Pacts did amidst the Cold War? The answer, tentatively, is no. … But It Will Not Lead to Economic Bifurcation President Trump’s aggressive trade policy also fits neatly into political theory, to a point. Realism in political science focuses on relative gains over absolute gains in all relationships, including trade. This is because trade leads to economic prosperity, prosperity to the accumulation of economic surplus, and economic surplus to military spending, research, and development. Two states that care only about relative gains due to rivalry produce a zero-sum game with no room for cooperation. It is a “Prisoner’s Dilemma” that can lead to sub-optimal economic outcomes in which both actors chose not to cooperate. The U.S.-China conflict will not lead to complete bifurcation of the global economy. Diagram 1 illustrates the effects of relative gain calculations on the trade behavior of states. In the absence of geopolitics, demand (Q3) is satisfied via trade (Q3-Q0) due to the inability of domestic production (Q0) to meet it. Diagram 1Trade War In A Bipolar World However, geopolitical externality – a rivalry with another state – raises the marginal social cost of imports – i.e. trade allows the rival to gain more out of trade and “catch up” in terms of geopolitical capabilities. The trading state therefore eliminates such externalities with a tariff (t), raising domestic output to Q1, while shrinking demand to Q2, thus reducing imports to merely Q2-Q1, a fraction of where they would be in a world where geopolitics do not matter. The dynamic of relative gains can also have a powerful pull on the hegemon as it begins to weaken and rethink its originally magnanimous trade relations. As political scientist Duncan Snidal argued in a 1991 paper, When the global system is first set up, the hegemon makes deals with smaller states. The hegemon is concerned more with absolute gains, smaller states are more concerned with relative, so they are tougher negotiators. Cooperative arrangements favoring smaller states contribute to relative hegemonic decline. As the unequal distribution of benefits in favor of smaller states helps them catch up to the hegemonic actor, it also lowers the relative gains weight they place on the hegemonic actor. At the same time, declining relative preponderance increases the hegemonic state’s concern for relative gains with other states, especially any rising challengers. The net result is increasing pressure from the largest actor to change the prevailing system to gain a greater share of cooperative benefits.5 The reason small states are initially more concerned with relative gains is because they are far more concerned with national security than the hegemon. The hegemon has a preponderance of power and is therefore more relaxed about its security needs. This explains why Presidents George Bush Sr., Bill Clinton, and George Bush Jr. all made “bad deals” with China. Writing nearly thirty years ago, Snidal cogently described the current U.S.-China trade war. Snidal thought he was describing a coming decade of anarchy. But he and fellow political scientists writing in the early 1990s underestimated American power. The “unipolar moment” of American supremacy was not over, it was just beginning! As such, the dynamic Snidal described took thirty years to come to fruition. When thinking about the transition away from U.S. hegemony, most investors anchor themselves to the Cold War as it is the only world they have known that was not unipolar. Moreover the Cold War provides a simple, bipolar distribution of power that is easy to model through game theory. If this is the world we are about to inhabit, with the U.S. and China dividing the whole planet into spheres like the U.S. and Soviet Union, then the paragraph we lifted from Snidal’s paper would be the end of it. America would abandon globalization in totality, impose a draconian Silicon Curtain around China, and coerce its allies to follow suit. But most of recent human history has been defined by a multipolar distribution of power between states, not a bipolar one. The term “cold war” is applicable to the U.S. and China in the sense that comparable military power may prevent them from fighting a full-blown “hot war.” But ultimately the U.S.-Soviet Cold War is a poor analogy for today’s world. In a multipolar world, Snidal concludes, “states that do not cooperate fall behind other relative gains maximizers that cooperate among themselves. This makes cooperation the best defense (as well as the best offense) when your rivals are cooperating in a multilateral relative gains world.” Snidal shows via formal modeling that as the number of players increases from two, relative-gains sensitivity drops sharply.6 The U.S.-China relationship does not occur in a vacuum — it is moderated by the global context. Today’s global context is one of multipolarity. Multipolarity refers to the distribution of geopolitical power, which is no longer dominated by one or two great powers (Chart 4). Europe and Japan, for instance, have formidable economies and military capabilities. Russia remains a potent military power, even as India surpasses it in terms of overall geopolitical power. Chart 4The World Is No Longer Bipolar A multipolar world is the least “ordered” and the most unstable of world systems (Chart 5). This is for three reasons: Chart 5Multipolarity Is Messy Math: Multipolarity engenders more potential “conflict dyads” that can lead to conflict. In a unipolar world, there is only one country that determines norms and rules of behavior. Conflict is possible, but only if the hegemon wishes it. In a bipolar world, conflict is possible, but it must align along the axis of the two dominant powers. In a multipolar world, alliances are constantly shifting and producing novel conflict dyads. Lack of coordination: Global coordination suffers in periods of multipolarity as there are more “veto players.” This is particularly problematic during times of stress, such as when an aggressive revisionist power uses force or when the world is faced with an economic crisis. Charles Kindleberger has argued that it was exactly such hegemonic instability that caused the Great Depression to descend into the Second World War in his seminal The World In Depression.7 Mistakes: In a unipolar and bipolar world, there are a very limited number of dice being rolled at once. As such, the odds of tragic mistakes are low and can be mitigated with complex formal relationships (such as U.S.-Soviet Mutually Assured Destruction, grounded in formal modeling of game theory). But in a multipolar world, something as random as an assassination of a dignitary can set in motion a global war. The multipolar system is far more dynamic and thus unpredictable. In a multipolar world, the U.S. will not be able to exclude China from the global system. Diagram 2 is modified for a multipolar world. Everything is the same, except that we highlight the trade lost to other great powers. The state considering using tariffs to lower the marginal social cost of trading with a rival must account for this “lost trade.” In the context of today’s trade war with China, this would be the sum of all European Airbuses and Brazilian soybeans sold to China in the place of American exports. For China, it would be the sum of all the machinery, electronics, and capital goods produced in the rest of Asia and shipped to the United States. Diagram 2Trade War In A Multipolar World Could Washington ask its allies – Europe, Japan, South Korea, Taiwan, etc. – not to take advantage of the lucrative trade (Q3-Q0)-(Q2-Q1) lost due to its trade tiff with China? Sure, but empirical research shows that they would likely ignore such pleas for unity. Alliances produced by a bipolar system produce a statistically significant and large impact on bilateral trade flows, a relationship that weakens in a multipolar context. This is the conclusion of a 1993 paper by Joanne Gowa and Edward D. Mansfield.8 The authors draw their conclusion from an 80-year period beginning in 1905, which captures several decades of global multipolarity. Unless the U.S. produces a wholehearted diplomatic effort to tighten up its alliances and enforce trade sanctions – something hardly foreseeable under the current administration – the self-interest of U.S. allies will drive them to continue trading with China. The U.S. will not be able to exclude China from the global system; nor will China be able to achieve Xi Jinping’s vaunted “self-sufficiency.” A risk to our view is that we have misjudged the global system, just as political scientists writing in the early 1990s did. To that effect, we accept that Charts 1 and 4 do not really support a view that the world is in a balanced multipolar state. The U.S. clearly remains the most powerful country in the world. The problem is that it is also clearly in a relative decline and that its sphere of influence is global – and thus very expensive – whereas its rivals have merely regional ambitions (for the time being). As such, we concede that American hegemony could be reasserted relatively quickly, but it would require a significant calamity in one of the other poles of power. For instance, a breakdown in China’s internal stability alongside the recovery of U.S. political stability. Bottom Line: The trade war between the U.S. and China is geopolitically unsustainable. The only way it could continue is if the two states existed in a bipolar world where the rest of the states closely aligned themselves behind the two superpowers. We have a high conviction view that today’s world is – for the time being – multipolar. American allies will cheat and skirt around Washington’s demands that China be isolated. This is because the U.S. no longer has the preponderance of power that it enjoyed in the last decade of the twentieth and the first decade of the twenty-first century. Insights presented thus far come from formal theory in political science. What does history teach us? Trading With The Enemy In 1896, a bestselling pamphlet in the U.K., “Made in Germany,” painted an ominous picture: “A gigantic commercial State is arising to menace our prosperity, and contend with us for the trade of the world.”9 Look around your own houses, author E.E. Williams urged his readers. “The toys, and the dolls, and the fairy books which your children maltreat in the nursery are made in Germany: nay, the material of your favorite (patriotic) newspaper had the same birthplace as like as not.” Williams later wrote that tariffs were the answer and that they “would bring Germany to her knees, pleading for our clemency.”10 By the late 1890s, it was clear to the U.K. that Germany was its greatest national security threat. The Germany Navy Laws of 1898 and 1900 launched a massive naval buildup with the singular objective of liberating the German Empire from the geographic constraints of the Jutland Peninsula. By 1902, the First Lord of the Royal Navy pointed out that “the great new German navy is being carefully built up from the point of view of a war with us.”11 There is absolutely no doubt that Germany was the U.K.’s gravest national security threat. As a result, London signed in April 1904 a set of agreements with France that came to be known as Entente Cordiale. The entente was immediately tested by Germany in the 1905 First Moroccan Crisis, which only served to strengthen the alliance. Russia was brought into the pact in 1907, creating the Triple Entente. In hindsight, the alliance structure was obvious given Germany’s meteoric rise from unification in 1871. However, one should not underestimate the magnitude of these geopolitical events. For the U.K. and France to resolve centuries of differences and formalize an alliance in 1904 was a tectonic shift — one that they undertook against the grain of history, entrenched enmity, and ideology.12 History teaches us that trade occurs even amongst rivals and during wartime. Political scientists and historians have noted that geopolitical enmity rarely produces bifurcated economic relations exhibited during the Cold War. Both empirical research and formal modeling shows that trade occurs even amongst rivals and during wartime.13 This was certainly the case between the U.K. and Germany, whose trade steadily increased right up until the outbreak of World War One (Chart 6). Could this be written off due to the U.K.’s ideological commitment to laissez-faire economics? Or perhaps London feared a move against its lightly defended colonies in case it became protectionist? These are fair arguments. However, they do not explain why Russia and France both saw ever-rising total trade with the German Empire during the same period (Chart 7). Either all three states were led by incompetent policymakers who somehow did not see the war coming – unlikely given the empirical record – or they simply could not afford to lose out on the gains of trade with Germany to each other. Chart 6The Allies Traded With Germany… Chart 7… Right Up To WWI Chart 8Japan And U.S. Never Downshifted Trade A similar dynamic was afoot ahead of World War Two. Relations between the U.S. and Japan soured in the 1930s, with the Japanese invasion of Manchuria in 1931. In 1935, Japan withdrew from the 1922 Washington Naval Treaty – the bedrock of the Pacific balance of power – and began a massive naval buildup. In 1937, Japan invaded China. Despite a clear and present danger, the U.S. continued to trade with Japan right up until July 26, 1941, few days after Japan invaded southern Indochina (Chart 8). On December 7, Japan attacked the U.S. A skeptic may argue that precisely because policymakers sleepwalked into war in the First and Second World Wars, they will not (or should not) make the same mistake this time around. First, we do not make policy prescriptions and therefore care not what should happen. Second, we are highly skeptical of the view that policymakers in the early and mid-twentieth century were somehow defective (as opposed to today’s enlightened leaders). Our constraints-based framework urges us to seek systemic reasons for the behavior of leaders. Political science provides a clear theoretical explanation for why London and Washington continued to trade with the enemy despite the clarity of the threat. The answer lies in the systemic nature of the constraint: a multipolar world reduces the sensitivity of policymakers to relative gains by introducing a collective action problem thanks to changing alliances and the difficulty of disciplining allies’ behavior. In the case of U.S. and China, this is further accentuated by President Trump’s strategy of skirting multilateral diplomacy and intense focus on mercantilist measures of power (i.e. obsession with the trade deficit). An anti-China trade policy that was accompanied by a magnanimous approach to trade relations with allies could have produced a “coalition of the willing” against Beijing. But after two years of tariffs and threats against the EU, Japan, and Canada, the Trump administration has already signaled to the rest of the world that old alliances and coordination avenues are up for revision. There are two outcomes that we can see emerging over the course of the next decade. First, U.S. leadership will become aware of the systemic constraints under which they operate, and trade with China will continue – albeit with limitations and variations. However, such trade will not reduce the geopolitical tensions, nor will it prevent a military conflict. In facts, the probability of military conflict may increase even as trade between China and the U.S. remains steady. Second, U.S. leadership will fail to correctly assess that they operate in a multipolar world and will give up the highlighted trade gains from Diagram 2 to economic rivals such as Europe and Japan. Given our methodological adherence to constraint-based forecasting, we highly doubt that the latter scenario is likely. Bottom Line: The China-U.S. conflict is not a replay of the Cold War. Systemic pressures from global multipolarity will force the U.S. to continue to trade with China, with limitations on exchanges in emergent, dual-use technologies that China will nonetheless source from other technologically advanced countries. This will create a complicated but exciting world where geopolitics will cease to be seen as exogenous to investing. A risk to the sanguine conclusion is that the historical record is applicable to today, but that the hour is late, not early. It is already July 26, 1941 – when U.S. abrogated all trade with Japan – not 1930. As such, we do not have another decade of trade between U.S. and China remaining, we are at the end of the cycle. While this is a risk, it is unlikely. American policymakers would essentially have to be willing to risk a military conflict with China in order to take the trade war to the same level they did with Japan. It is an objective fact that China has meaningfully stepped up aggressive foreign policy in the region. But unlike Japan in 1941, China has not outright invaded any countries over the past decade. As such, the willingness of the public to support such a conflict is unclear, with only 21% of Americans considering China a top threat to the U.S. Investment Implications This analysis is not meant to be optimistic. First, the U.S. and China will continue to be rivals even if the economic relationship between them does not lead to global bifurcation. For one, China continues to be – much like Germany in the early twentieth century – concerned with access to external markets on which 19.5% of its economy still depend. China is therefore developing a modern navy and military not because it wants to dominate the rest of the world but because it wants to dominate its near abroad, much as the U.S. wanted to, beginning with the Monroe Doctrine. This will continue to lead to Chinese aggression in the South and East China Seas, raising the odds of a conflict with the U.S. Navy. Given that the Thucydides Trap narrative remains cogent, investors should look to overweight S&P 500 aerospace and defense stocks relative to global equity markets. An alternative way that one could play this thesis is by developing a basket of global defense stocks. Multipolarity may create constraints to trade protectionism, but it engenders geopolitical volatility and thus buoys defense spending. Second, we would not expect another uptick in globalization. Multipolarity may make it difficult for countries to completely close off trade with a rival, but globalization is built on more than just trade between rivals. Globalization requires a high level of coordination among great powers that is only possible under hegemonic conditions. Chart 9 shows that the hegemony of the British and later American empires created a powerful tailwind for trade over the past two hundred years. Chart 9The Apex Of Globalization Is Behind Us The Apex of Globalization has come and gone – it is all downhill from here. But this is not a binary view. Foreign trade will not go to zero. The U.S. and China will not completely seal each other’s sphere of influence behind a Silicon Curtain. Instead, we focus on five investment themes that flow from a world that is characterized by the three trends of multipolarity, Sino-U.S. geopolitical rivalry, and apex of globalization: Europe will profit: As the U.S. and China deepen their enmity, we expect some European companies to profit. There is some evidence that the investment community has already caught wind of this trend, with European equities modestly outperforming their U.S. counterparts whenever trade tensions flared up in 2019 (Chart 10). Given our thesis, however, it is unlikely that the U.S. would completely lose market share in China to Europe. As such, we specifically focus on tech, where we expect the U.S. and China to ramp up non-tariff barriers to trade regardless of systemic pressures to continue to trade. A strategic long in the secularly beleaguered European tech companies relative to their U.S. counterparts may therefore make sense (Chart 11). Chart 10Europe: A Trade War Safe Haven Chart 11Is Europe Really This Incompetent? USD bull market will end: A trade war is a very disruptive way to adjust one’s trade relationship. It opens one to retaliation and thus the kind of relative losses described in this analysis. As such, we expect that U.S. to eventually depreciate the USD, either by aggressively reversing 2018 tightening or by coercing its trade rivals to strengthen their currencies. Such a move will be yet another tailwind behind the diversification away from the USD as a reserve currency, a move that should benefit the euro. Bull market in capex: The re-wiring of global manufacturing chains will still take place. The bad news is that multinational corporations will have to dip into their profit margins to move their supply chains to adjust to the new geopolitical reality. The good news is that they will have to invest in manufacturing capex to accomplish the task. One way to articulate this theme is to buy an index of semiconductor capital companies (AMAT, LRCX, KLAC, MKSI, AEIS, BRIKS, and TER). Given the highly cyclical nature of capital companies, we would recommend an entry point once trade tensions subside and green shoots of global growth appear. “Non-aligned” markets will benefit: The last time the world was multipolar, great powers competed through imperialism. This time around, a same dynamic will develop as countries seek to replicate China’s “Belt and Road Initiative.” This is positive for frontier markets. A rush to provide them with exports and services will increase supply and thus lower costs, providing otherwise forgotten markets with a boon of investments. India, and Asia-ex-China more broadly, stand as intriguing alternatives to China, especially with the current administration aggressively reforming to take advantage of the rewiring of global manufacturing chains. Capital markets will remain globalized: With interest rates near zero in much of the developed world and the demographic burden putting an ever-greater pressure on pension plans to generate returns, the search for yield will continue to be a powerful drive that keeps capital markets globalized. Limitations are likely to grow, especially when it comes to cross-border private investments in dual-use technologies. But a completely bifurcation of capital markets is unlikely. The world we are describing is one where geopolitics will play an increasingly prominent role for global investors. It would be convenient if the world simply divided into two warring camps, leaving investors with neatly separated compartments that enabled them to go back to ignoring geopolitics. This is unlikely. Rather, the world will resemble the dynamic years at the end of the nineteenth century, a rough-and-tumble era that required a multi-disciplinary approach to investing.   Marko Papic, Consulting Editor, BCA Research Chief Strategist, Clocktower Group Marko@clocktowergroup.com Footnotes 1 Please see BCA Research Geopolitical Strategy, “Power And Politics In East Asia: Cold War 2.0?,” September 25, 2012, “Sino-American Conflict: More Likely Than You Think,” October 4, 2013, “The Great Risk Rotation,” December 11, 2013, and “Strategic Outlook 2014 – Stay The Course: EM Risk – DM Reward,” January 23, 2014, “Underestimating Sino-American Tensions,” November 6, 2015, “The Geopolitics Of Trump,” December 2, 2016, “How To Play The Proxy Battles In Asia,” March 1, 2017, and others available at gps.bcaresearch.com or upon request. 2 Please see German Historical Institute, “Bernhard von Bulow on Germany’s ‘Place in the Sun’” (1897), available at http://germanhistorydocs.ghi-dc.org/ 3 See Graham Allison, Destined For War: Can America and China Escape Thucydides’s Trap? (New York: Houghton Miffin Harcourt, 2017). 4 The three cases are Spain taking over from Portugal in the sixteenth century, the U.S. taking over from the U.K. in the twentieth century, and Germany rising to regional hegemony in Europe in the twenty-first century. 5 Duncan Snidal, “Relative Gains and the Pattern of International Cooperation,” The American Political Science Review, 85:3 (September 1991), pp. 701-726. 6 We do not review Snidal’s excellent game theory formal modeling in this paper as it is complex and detailed. However, we highly encourage the intrigued reader to pursue the study on their own. 7 See Charles P. Kindleberger, The World In Depression, 1929-1939 (Berkeley: University of California Press, 2013). 8 Joanne Gowa and Edward D. Mansfield, “Power Politics and International Trade,” The American Political Science Review, 87:2 (June 1993), pp. 408-420. 9 See Ernest Edwin Williams, Made in Germany (reprint, Ithaca: Cornell University Press), available at https://archive.org/details/cu31924031247830. 10 Quoted in Margaret MacMillan, The War That Ended Peace (Toronto: Allen Lane, 2014). 11 Peter Liberman, “Trading with the Enemy: Security and Relative Economic Gains,” international Security, 21:1 (Summer 1996), pp. 147-175. 12 Although France and Russia overcame even greater bitterness due to the ideological differences between a republic founded on a violent uprising against its aristocracy – France – and an aristocratic authoritarian regime – Russia. 13 See James Morrow, “When Do ‘Relative Gains’ Impede Trade?” The Journal of Conflict Resolution, 41:1 (February 1997), pp. 12-37; and Jack S. Levy and Katherine Barbieri, “Trading With the Enemy During Wartime,” Security Studies, 13:3 (December 2004), pp. 1-47.