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Highlights Chart of the WeekTrade Fears Weighing On Ag Complex Bearish sentiment in ag markets is overdone. We believe prices have bottomed. But we are not yet ready to get bullish, given the elevated trade-policy uncertainty dominating markets at present. The evolution of grains and bean prices from here will depend on whether ongoing trade disputes between the U.S. and some of its largest ag markets are transitory or permanent (Chart of the Week). Highlights Energy: Overweight. We closed our Dec18 Brent $65 vs. $70/bbl call spread last week with a net gain of 80%. We remain long call spreads along the Brent forward curve in 2019, which are down an average 2.7%, and the SP GSCI, which is up 12.1%. Base Metals: Neutral. Aluminum prices are down ~ 1.6% in the past week, following indications from U.S. Treasury Secretary Steven Mnuchin sanctions against Russian aluminum supplier Rusal could be removed. Precious Metals: Neutral. Gold prices recovered slightly over the past week, but remain under pressure, given continued strength in the broad trade-weighted USD and real U.S. interest rates. We remain long gold as a portfolio hedge, nonetheless. Ags/Softs: Underweight. Fundamentals support higher grain and bean prices. However, trade-policy uncertainty - particularly re Sino - U.S. relations - will keep them under pressure (see below). Feature Weather-related uncertainty typically is center stage when it comes to forecasting ag prices during the growing season. This year, trade-policy uncertainty emanating from Washington will contend with weather risk as the dominant influence on prices. We do not expect ag-related trade policies to become more hostile. This means the path of ag prices will be contingent on whether the current trade disputes - primarily between the U.S. and China - are transient or permanent features of international trade. Given what we've seen already, we can expect American farmers will fare poorly in the ongoing trade spats. U.S. agricultural exports have been disproportionately hard hit by tariffs from their most important foreign consumer markets, levied in retaliation against U.S. tariffs (Chart 2). BCA Research's Geopolitical Strategy analysts assign a high probability to the escalation of current tensions into a full-blown trade war.1 Nevertheless, we believe the negative sentiment in ag markets is overdone, and that there is not much further downside from here. It is unsurprising that agriculture is a natural first target in this trade dispute. More than a quarter of U.S. crops are exported, with the share rising above 50% in many cases (Chart 3). This provides foreign consumers with ammunition in the dispute. Furthermore, these exports account for a large chunk of global ag trade, in some cases making American exports price makers in the global market. Importantly, many farmers and farm-belt voters cast ballots for Donald Trump. Chart 2American Ags Hit Hard##BR##By Trade Barriers... Chart 3...Because They Are Exposed##BR##To Foreign Markets The USDA's plans announced earlier this week to spend as much as $12 billion between September and end of harvest to help soften the impact of tariff retaliations against U.S. farm states loyal to Trump are not unexpected. The measures will entail (1) direct payments to soybean, sorghum, cotton, corn, wheat, dairy and pork farmers, (2) the procurement and subsequent re-distribution of ag products to nutrition programs, and (3) working with the private sector to promote trade and develop new export markets.2 Trade Spats Hit Grain Markets Hard Grain markets have been especially hard hit in the cross-fire between the U.S. and some of its key trade partners (Table 1). China's retaliatory tariffs are especially consequential, due to its outsized role as a main ag demand market. Table 1Ags Caught In The Crossfire All in all, the Thomson Reuters Equal Weight Grains & Oilseeds Index is down ~ 10% since end-May on the back of these tariffs. Soybeans lead the decline with a 17% loss. We have been foreshadowing this since the beginning of the year.3 Now that it's played out consistent with our previous expectations, it leaves us wondering "now what?" We see three potential scenarios unfolding in the ongoing trade skirmish: Scenario 1: The current tariffs remain in place with no significant increase in ag-relevant trade barriers.4 Scenario 2: The disputes peak soon, and de-escalate. In this scenario, tariffs imposed since the beginning of the year are reversed, ultimately leading to a free and now-fairer global trade order. Scenario 3: A complete breakdown in global trade. This scenario can take on a soft outcome whereby tariffs are increased, or to a more aggressive scenario, resulting in a seismic collapse in world trade agreements. The first two scenarios are clearly more optimistic. In Scenario 1, near-term downside to prices would be restrained, contingent on the responses of major ag consumers. We discuss their four main options and potential courses of action below. Scenario 2 is the most bullish, with price formation once again a function of supply-demand-inventory fundamentals. In this scenario, exogenous risks primarily stem from weather and U.S. financial variables. However, Scenario 3, in which a prolonged trade war pushes the global economy into a recession, would intensify the pain. This would lead to a contraction in the global flow of goods and services, reducing access to foreign markets. Additionally, it would hurt ag demand through the income channel. Consumption growth of ags is correlated with income growth. If the trade war bears down on incomes, it will reduce per-capita demand for ag commodities, which ultimately depresses prices. This is especially true in the case of lower income and emerging economies, where demand is more elastic. Impact Of Tariffs In face of higher costs brought on by U.S. tariffs, foreign buyers are essentially faced with four options: Reduce imports from the U.S., and opt to purchase more from other major producers; Reduce consumption of particular crops by substituting with others; Consume out of inventory, or Continue purchasing U.S. crops, but at a higher price. Chart 4Soybean Farmers Are Most Vulnerable Given the heightened risks surrounding the Sino-American trade dispute, we analyze these possibilities with reference to China. In addition, since soybeans are the most vulnerable of the crops hit by the trade dispute, we focus on beans, arguing that in most cases similar courses of action can be taken for other crops (Chart 4). Chinese authorities have already communicated that they plan to use options 1 - 3, and, as such, have assessed the impact of these restrictions on Chinese buyers to be minimal. Furthermore, according to a comment earlier this month by Lu Xiaodong, deputy general manager of state stockpile Sinograin, China is capable of fully meeting its needs without importing soybeans from the U.S.5 The extent to which buyers are successful in doing so will ultimately determine the overall impact of the trade dispute on U.S. ag markets. We expect China's solution will be a mélange of these four options. Below we assess these possibilities. Option 1: Chinese Buyers Are Turning To Other Major Producers An oft-noted change in Chinese purchasing behavior in reference to U.S. soybeans has been cited as the rationale for the negative sentiment towards U.S. ags. While it is true that Chinese buyers have been shunning American beans, the conclusion fails to recognize a few key points (Chart 5). Chart 5U.S. Soybean Exports Down On Weak Sales To China First, due to the difference in crop calendars - South American beans are harvested in spring while the U.S. crop is harvested in the fall - there is a clear seasonal pattern in China's purchasing behavior (Chart 6). Thus, greater Chinese imports of Brazilian soybeans are typical for this time of year. In addition, agricultural commodities are fungible, which means a reduction of China's imports of U.S. crops does not mean the U.S. crops will go to waste. While American crops are clearly trading at a disadvantage from the perspective of a Chinese buyer, there are still other foreign markets open to American ag exports. Now that these crops are selling at a discount, they have become much more competitive, incentivizing a shift in trade flows. This has already started - the U.S. has increased exports to consumers such as Egypt and Mexico, and even found soybeans buyers in Argentina and Brazil, both major producers of soybeans (Chart 7)! Chart 6Seasonality Is Partly To Blame Chart 7New Markets Opening Up For American Beans Option 2: China Will Adjust Its Feed Recipe China's decision to remove import tariffs on animal feed ingredients from Asian suppliers also highlights another policy route. To the extent possible, Chinese consumers will attempt to find substitutes for the now-more-costly U.S. imports. This includes supplies from alternative producers, and imports of substitute products. The potential from this option depends on the availability of close substitutes to replace ags exports affected by the Sino - U.S. trade dispute. In the case of soybeans, Chinese bean imports are crushed to produce meal and oil. The former is then used as a primary protein in livestock feed, while the latter is refined to be used in foods. Similarly, the majority of corn is also used as a critical ingredient in animal feed. As such, in face of higher costs, bean crushers will likely turn to meal from other protein substitutes such as rapeseed, peanuts and sunflower seeds. Nevertheless, soybean meal remains the optimal source of protein for livestock. Thus, while China will attempt to reduce its consumption of the tariff-laden U.S. ags, alternatives are not perfect substitutes. Consequently, this option does not completely eliminate the need for soybean imports. Option 3: Eat Into Ag Inventories Chart 8Chinese Stocks Will - Partially -##BR##Cushion The Blow Chinese ag inventories are relatively high and can cushion the blow to supply, at least temporarily (Chart 8). This means we may see a decline in Chinese stocks, on the back of drawdowns to fill in the gap left by lower imports from the U.S. While Beijing's stocks are notoriously large, there are reports that, in some cases, they are of low quality, and are unfit for human and animal consumption. Thus, this policy may appear more feasible on paper than in reality. Without accurate information regarding the size and quality of China's ag inventories, it is impossible to determine the potential of this option. Option 4: Absorb the Price Hike: Continue Importing - Now Pricier - U.S. Ags Chinese buyers likely will attempt to exhaust options 1 - 3 above, before resorting to purchasing now-pricier U.S. grains and beans. Nevertheless, it is inevitable - some U.S. ags will continue to flow to China. The relevant question - admittedly extremely difficult to quantify - is with regards to the magnitude of the impact. This essentially will depend on China's ability to use options 1 - 3, to avoid the now-higher import costs. While in the case of soybeans, U.S. exports have been shunned for now, the true test will come in the fall after the Brazilian harvest is over, and the market is flooded with the American crops. Furthermore, the 25% increase in costs due to the tariffs will, to some extent, be offset by the discount in the price of the American crops. Fundamentals Imply Higher Ag Prices While ag markets have taken several direct hits recently, we believe global fundamentals are not as bearish as current pricing conditions suggest. In the event there is a de-escalation of trade disputes - Scenario 2 above - prices will rebound to levels implied by fundamentals. While soybeans are expected to record a small surplus in the 2018 - 19 crop year, wheat and corn will be in a global deficit (Chart 9). Furthermore, global inventories - measured in stocks-to-use terms - are expected to come down. In the case of corn and soybeans, this will be the second consecutive annual decline (Chart 10). Chart 9Bullish Fundamentals On Back##BR##Of Corn And Wheat Deficits... Chart 10...And Falling##BR##Inventories In the corn market, the inventory drawdown is , to a large extent, driven by Chinese policy which is incentivizing the consumption of stocks by offering lower subsidies to corn farmers vs. soybeans, and through measures to encourage corn use for ethanol. This is expected to bring stocks down to levels last witnessed in the 1960s! On the other hand, U.S. soybean stocks are expected to continue increasing in line with lower demand for American beans by the world's largest soybean consumer (China). As always, weather is the biggest source of near term supply-side uncertainty. Wheat prices are supported by weather concerns in Europe - particularly the Black Sea region - which is damaging crops there. This is especially important given the expectation of a smaller crop there this year. Some Final Notes A couple of distinctions within the ags space reveals some ags are more vulnerable to the ongoing dispute than others. These are the number of sellers and the number of buyers in these markets. For instance, U.S. soybean exports have fewer foreign markets than corn, making them relatively more susceptible to downward price movements as supplies back up and are forced to find alternative markets. This is especially true since China is the single largest consumer of soybeans (Chart 11). Chart 11Global Wheat Market Relatively Insulated From Trade Frictions On the other hand, the global wheat market resembles a perfectly competitive market. This means that there are many buyers and sellers, each with limited ability to influence prices. Given that both the U.S. and China are price takers in this market, wheat prices will be relatively more insulated from trade headwinds. As such, we favor wheat in the current environment. Bottom Line: American farmers will be the losers in the still-evolving Sino - American trade disputes, as barriers are imposed on their exports, rendering them uncompetitive for their most significant foreign consumer. However, this will open markets for other global producers - most notably Brazil, Argentina, and the Black Sea region - making farmers there the winners in this dispute. Roukaya Ibrahim, Editor/Strategist Commodity & Energy Strategy RoukayaI@bcaresearch.com 1 Please see BCA Research's Geopolitical Strategy Special Report titled "The U.S. And China: Sizing Up The Crisis," dated July 11, 2018, available at gps.bcaresearch.com. 2 Please see "Factbox: USDA's $12 billion farmer relief package," dated July 24, 2018, available at reuters.com. 3 Please see BCA Research's Commodity & Energy Strategy Weekly Reports titled "Ags Could Get Caught In U.S. Tariff Imbroglio," dated March 15, 2018, page 9 from "Oil Price Forecast Steady, But Risks Expand," dated March 22, 2018, and "Ag Price Volatility Will Pick Up," dated May 3, 2018. 4 Our colleagues at BCA's Geopolitical Strategy team expect the trade dispute to intensify, especially before the mid-terms. However, tariffs already have been placed on most ag commodities we follow. This leaves little room for further risk from this direct channel, unless tariff rates are increased. 5 Please see "China does not need U.S. soybeans for state reserves: Sinograin official," dated June 12, 2018, available at reuters.com. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Trades Closed in 2018 Summary of Trades Closed in 2017
Overweight The S&P investment bank and brokers index has been an excellent performer through the early days of the Q2 reporting season as results have generally been besting estimates and the outlook remains solid. Our interpretation of the macro data certainly concurs. The M&A cycle has continued to grow apace, which is a typical late cycle dynamic, and should continue to underpin top line growth (second panel). At the same time, a recovery in volatility has taken hold, which should keep trading desks busy and continue to push trading revenues higher (third panel). Further, investors are taking on increasing amounts of margin debt, which is now more than 50% higher than the previous cyclical peak (bottom panel). All of this should translate into continued earnings outperformance; stay overweight. The ticker symbols for the stocks in this index are: BLBG: S5INBK - ETFC, SCHW, GS, RJF, MS.
Bank Credit Analyst In this Special Report, we shed light on the implications of the U.S./Sino trade war for U.S. equity sectors. The threat that trade action poses to the U.S. equity market is greater than in past confrontations. Perhaps most importantly, supply chains are much more extensive, globally and between China and the U.S. Automobile Components, Electrical Equipment, Materials, Capital Goods and Consumer Durables have the most extensive supply chain networks. The USTR claims that it is being strategic in the Chinese goods it is targeting, focusing on companies that will benefit from the "Made In China 2025" initiative. The list of Chinese goods targeted in both the first and second rounds covers virtually all of the broad import categories. The only major items left for the U.S. to hit are apparel, footwear, toys and cellphones. Beijing is clearly targeting U.S. products based on politics in order to exert as much pressure on the President's party as possible. Based on a list of products that comprise the top-10 most exported goods of Red and Swing States, China will likely lift tariffs in the next rounds on civilian aircraft, computer electronics, healthcare equipment, car engines, chemicals, wood pulp, telecommunication and integrated circuits. Supply chains within and between industries and firms mean that the impact of tariffs is much broader than the direct impact on exporters and importers. We measure the relative exposure of 24 GICs equity sectors to the trade war based on their proportion of foreign-sourced revenues and the proportion of each industry's total inputs that are affected by U.S. tariffs. The Semiconductors & Semiconductor Equipment sector stands out, but the Technology & Hardware Equipment, Capital Goods, Materials, Consumer Durables & Apparel and Motor Vehicle sectors are also highly exposed to anti-trade policy action. Energy, Software, Banks and all other service sectors are much less exposed. China may also attempt to disrupt supply chains via non-tariff barriers, placing even more pressure on U.S. firms that have invested heavily in China. Wholesale Trade, Chemicals, Transportation Equipment, Computers & Electronic Parts and Finance & Insurance are most exposed. U.S. technology companies are particularly vulnerable to an escalating trade war. Virtually all U.S. manufacturing industries will be negatively affected by an ongoing trade war, even defensive sectors such as Consumer Staples. The one exception is defense manufacturers, where we recommend overweight positions. Our analysis highlights that the best shelter from a trade war can be found in services, particularly services that are insulated from trade. Financial Services appears a logical choice, and the S&P Financial Exchanges & Data subsector is one of our favorites. The trade skirmish is transitioning to a full-on trade war. The U.S. has imposed a 25% tariff on $50 billion worth of Chinese goods, and has proposed a 10% levy on an additional $200 billion of imports by August 31. China retaliated with tariffs on $50 billion of imports from the U.S., but Trump has threatened tariffs on another $300 billion if China refuses to back down. That would add up to over $500 billion in Chinese goods and services that could be subject to tariffs, only slightly less than the total amount that China exported to the U.S. last year. BCA's Geopolitical Strategy has emphasized that President Trump is unconstrained on trade policy, giving him leeway to be tougher than the market expects.1 This is especially the case with respect to China. There will be strong pushback from Congress and the U.S. business lobby if the Administration tries to cancel NAFTA. In contrast, Congress is also demanding that the Administration be tough on China because it plays well with voters. Trump is a prisoner of his own tough pre-election campaign rhetoric against China. The U.S. primary economic goal is not to equalize tariffs but to open market access.2 The strategic goal is much larger. The U.S. wants to see China's rate of technological development slow down. Washington will expect robust guarantees to protect intellectual property and proprietary technology before it dials down the pressure on Beijing. The threat that the trade war poses to the U.S. equity market is greater than in past confrontations, such as that between Japan and the U.S. in the late 1980s. First, stocks are more expensive today. Second, interest rates are much lower, limiting how much central banks can react to adverse shocks. Third, and perhaps most importantly, supply chains are much more extensive, globally and between China and the U.S. Nearly every major S&P 500 multinational corporation is in some way exposed to these supply chains. Chart II-1 shows that Automobile Components, Electrical Equipment, Materials, Capital Goods and Consumer Durables have the most extensive supply chain networks. The Global Value Chain Participation rate, constructed by the OECD, is a measure of cross-border value-added linkages.3 In this Special Report, we shed light on the implications of the trade war for U.S. equity sectors. Complex industrial interactions make it difficult to be precise in identifying the winners and losers of a trade war. Nonetheless, we can identify the industries most and least exposed to a further rise in tariff walls or non-tariff barriers to trade. We focus on the U.S./Sino trade dispute in this Special Report, leaving the implications of a potential trade war with Europe and the possible failure of NAFTA negotiations for future research. Chart II-1Measuring Global Supply Chains Trade Channels There are at least five channels through which rising tariffs can affect U.S. industry: The Direct Effect: This can be positive or negative. The impact is positive for those industries that do not export much but are provided relief from stiff import competition via higher import tariffs. The impact is negative for those firms facing higher tariffs on their exports, as well as for those firms facing higher costs for imported inputs to their production process. These firms would be forced to absorb some of the tariff via lower profit margins. Some industries will fall into both positive and negative camps. U.S. washing machines are a good example. Whirlpool's stock price jumped after President Trump announced an import tariff on washing machines, but it subsequently fell back when the Administration imposed an import tariff on steel and aluminum (that are used in the production of washing machines); Indirect Effect: The higher costs for imported goods are passed along the supply chain within an industry and to other industries that are not directly affected by rising tariffs. This will undermine profit margins in these indirectly-affected industries to the extent that they cannot fully pass along the higher input costs; Foreign Direct Investment: Some Chinese exports emanate from U.S. multinationals' subsidiaries in China, or by Chinese or foreign OEM suppliers for U.S. firms. Even though it would undermine China's economy to some extent, the Chinese authorities could make life more difficult for these firms in retaliation for U.S. tariffs on Chinese goods. Macro Effect: A trade war would take a toll on global trade and reduce GDP growth globally. Besides the negative effect of uncertainty on business confidence and, thus, capital spending, rising prices for both consumer and capital goods will reduce the volume of spending in both cases. Moreover, corporate profits have a high beta with respect to economic activity. We would not rule out a U.S. recession in a worst-case scenario. Obviously, a recession or economic slowdown would inflict the most pain on the cyclical parts of the S&P 500 relative to the non-cyclicals, in typical fashion. Currency Effect: To the extent that a trade war pushes up the dollar relative to the other currencies, it would undermine export-oriented industries and benefit those that import. However, while we are bullish the dollar due to diverging monetary policy, the dollar may not benefit much from trade friction given retaliatory tariff increases by other countries. Some of the direct and indirect impact can be mitigated to the extent that importers facing higher prices for Chinese goods shift to similarly-priced foreign producers outside of China. Nonetheless, this adjustment will not be costless as there may be insufficient supply capacity outside of China, leading to upward pressure on prices globally. Targeted Sectors: (I) U.S. Tariffs On Chinese Goods As noted above, the U.S. has already imposed tariffs on $50 billion of Chinese imports and has published a list of another $200 billion of goods that are being considered for a 10% tariff in the second round of the trade war. The first round focused on intermediate and capital goods, while the second round includes consumer final demand categories such as furniture, air conditioners and refrigerators. The latter will show up as higher prices at retailers such as Wal Mart, having a direct and visible impact on U.S. households. Appendix Table II-A1 lists the goods that are on the first and second round lists, grouped according to the U.S. equity sectors in the S&P 500. The U.S. Trade Representative (USTR) claims that the Chinese items are being targeted strategically. It is focusing on companies that will benefit from China's structural policies, such as the "Made In China 2025" initiative that is designed to make the country a world leader in high-tech areas (see below). Table II-1 reveals the relative size of the broad categories of U.S. imports from China, based on trade categories. The top of the table is dominated by Motor Vehicles, Machinery, Telecommunication Equipment, Computers, Apparel & Footwear and other manufactured goods. The list of Chinese goods targeted in both the first and second rounds covers virtually all of the broad categories in Table II-1. The only major items left for the U.S. to hit are Apparel and Footwear, as well as two subcategories; Toys and Cellphones. These are all consumer demand categories. Table II-1U.S. Imports From China (January-May 2018) (II) Chinese Tariffs On U.S. Goods Total U.S. exports to China were less than $53 billion in the first five months of 2018, limiting the amount of direct retaliation that China can undertake (Table II-2). The list of individual U.S. products that China has targeted so far is long, but we have condensed it into the broad categories shown in Table II-3. The U.S. equity sectors that the new tariffs affect so far include Food, Beverage & Tobacco, Automobiles & Components, Materials and Energy. China has concentrated mainly on final goods in a politically strategic manner, such as Trump-supported rural areas and Harley Davidson bikes whose operations are based in Paul Ryan's home district in Wisconsin. Table II-2U.S. Exports To China (January-May 2018) Table II-3China Tariffs On U.S. Goods What will China target next? Chart II-2 shows exports to China as percent of total state exports, and Chart II-3 presents the value of products already tariffed by China as a percent of state exports. Other than Washington, the four states most targeted by Beijing are conservative: Alaska, Alabama, Louisiana and South Carolina. Chart II-2U.S. Exports To China By State Chart II-3Value Of U.S. Products Tariffed By China (By State) Beijing is clearly targeting products based on politics in order to exert as much pressure on the President's party as possible. To identify the next items to be targeted, we constructed a list of products that comprise the top-10 most exported goods of Red States (solidly conservative) and Swing States (competitive states that can go either to Republican or Democratic politicians). Appendix Tables II-A2 and II-A3 show this list of products, with those that have already been flagged by China for tariffs crossed out. Table II-4 shows the top-10 list of products that are not yet tariffed by China, but are distributed in a large proportion of Red and Swing states. What strikes us immediately is how important aircraft exports are to a large number of Swing and Red States. In total, 27 U.S. states export civilian aircraft, engines and parts to China. This is an obvious target of Beijing's retaliation. In addition, we believe that computer electronics, healthcare equipment, car engines, chemicals, wood pulp, telecommunication and integrated circuits are next. Table II-4Number Of U.S. States Exporting To China By Category Market Reaction Chart II-4 highlights how U.S. equity sectors performed during seven separate days when the S&P 500 suffered notable losses due to heightened fears of protectionism. Cyclical sectors such as Industrials and Materials fared worse during days of rising protectionist angst. Financials also generally underperformed, largely because such days saw a flattening of the yield curve. Tech, Health Care, Energy and Telecom performed broadly in line with the S&P 500. Consumer Staples outperformed the market, but still declined in absolute terms. Utilities and Real Estate were the only two sectors that saw absolute price gains. The market reaction seems sensible based on the industries caught in the cross-hairs of the trade action so far. At least some of the potential damage is already discounted in equity prices. Nonetheless, it is useful to take a closer look at the underlying factors that should determine the ultimate winners and losers from additional salvos in the trade war. Chart II-4S&P 500: Impact Of Trade-Related Events Determining The Winners And Losers The U.S. sectors that garner the largest proportion of total revenues from outside the U.S. are obviously the most exposed to a trade war. For the 24 level 2 GICS sectors in the S&P 500, Table II-5 presents the proportion of total revenues that is generated from operations outside the U.S. for the top five companies in the sector by market cap. Company reporting makes it difficult in some cases to identify the exact revenue amount coming from outside the U.S., as some companies regard "domestic" earnings as anything generated in North America. Nonetheless, we believe the data in Table II-5 provide a reasonably accurate picture. Table II-5Foreign Revenue Exposure (2017) Semiconductors, Tech Equipment, Materials, Food & Beverage, Software and Capital Goods are at the top of the list in terms of foreign-sourced revenues. Not surprisingly, service industries like Real Estate, Banking, Utilities and Telecommunications Services are at the bottom of the exposure list. U.S. companies are also exposed to U.S. tariffs that lift the price of imported inputs to the production process. This can occur directly when firm A imports a good from abroad, and indirectly, when firm A sells its intermediate good to firm B at a higher price, and then on to firm C. In order to capture the entire process, we used the information contained in the Bureau of Economic Analysis' Input/Output tables. We estimated the proportion of each industry's total inputs that are affected by already-implemented U.S. tariffs and those that are on the list for the next round of tariffs. These estimates, shown in Appendix Table II-A4 at a detailed industrial level, include both the direct and indirect effects of higher import costs. At the top of the list is Motor Vehicles and Parts, where Trump tariffs could affect more than 70% of the cost of all material inputs to the production process. Electrical Equipment, Machinery and other materials industries are also high on the list, together with Furniture, Computers & Electronic Parts and Construction. Unsurprisingly, service industries and Utilities are in the bottom half of the table.4 We then allocated all the industries in Appendix Table II-A4 to the 24 GICs level 2 sectors in the S&P 500, in order to obtain an import exposure ranking in S&P sector space (Table II-6). Table II-6U.S. Import Tariff Exposure Chart II-5 presents a scatter diagram that compares import tariff exposure (horizontal axis) with foreign revenue exposure (vertical axis). The industries clustered in the top-right of the diagram are the most exposed to a trade war. Chart II-5U.S. Industrial Exposure To A Trade War With China The Semiconductors & Semiconductor Equipment sector stands out by this metric, but the Technology & Hardware Equipment, Capital Goods, Materials, Consumer Durables & Apparel and Motor Vehicle sectors are also highly exposed to anti-trade policy action. Energy, Software, Banks and all other service sectors are much less exposed. Food, Beverage & Tobacco lies between the two extremes. Joint Ventures And FDI Table II-7Stock Of U.S. Direct ##br##Investment In China (2017) As mentioned above, most U.S. production taking place in China involves a joint venture. The Chinese authorities could attempt to disrupt the supply chain of a U.S. company by hindering production at companies that have ties to U.S. firms. Data on U.S. foreign direct investment (FDI) in China will be indicative of the industries that are most exposed to this form of retaliation. The stock of U.S. FDI in China totaled more than $107 billion last year (Table II-7). At the top of the table are Wholesale Trade, Chemicals, Transportation Equipment, Computers & Electronic Parts and Finance & Insurance. Apple is a good example of a U.S. company that is exposed to non-tariff retaliation, as the iPhone is assembled in China by Foxconn for shipment globally with mostly foreign sourced parts. Our Technology sector strategists argue that U.S. technology companies are particularly vulnerable to an escalating trade war (See Box II-1).5 BOX II-1 The Tech Sector The U.S. has applied tariffs on the raw materials of technology products rather than finished goods so far. At a minimum, this will penalize smaller U.S. tech firms which manufacture in the U.S. and provide an incentive to move production elsewhere. Worst case, the U.S. tariffs might lead to component shortages which could have a disproportionately negative impact, especially on smaller firms. Although it has not been proposed, U.S. tariffs on finished goods would be devastating to large tech companies such as Apple, which outsources its manufacturing to China. China appears determined to have a vibrant high technology sector. The "Made In China 2025" program, for example, combines ambitious goals in supercomputers, robotics, medical devices and smart cars, while setting domestic localization targets that would favor Chinese companies over foreigners. The ZTE sanctions and the potential for enhanced export controls have had a traumatic impact on China's understanding of its relatively weak position with respect to technology. As a result, because most high-tech products are available from non-U.S. sources, Chinese engineers will likely be encouraged to design with non-U.S. components; for example, selecting a Samsung instead of a Qualcomm processor for a smartphone. Similarly, China is a major buyer of semiconductor capital equipment as it follows through with plans to scale up its semiconductor industry. Most such equipment is also available from non-U.S. vendors, and it would be understandable if these suppliers are selected given the risk which would now be associated with selecting a U.S. supplier. The U.S. is targeting Chinese made resistors, capacitors, crystals, batteries, Light Emitting Diodes (LEDs) and semiconductors with a 25% tariff. For the most part these are simple, low cost devices, which are used by the billions in high-tech devices. Nonetheless, China could limit the export of these products to deliver maximum pain, leading to a potential shortage of qualified parts. A component shortage can have a devastating impact on production since the manufacturer may not have the ability to substitute a new part or qualify a new vendor. Since the product typically won't work unless all the right parts are installed, want of a dollar's worth of capacitors may delay shipping a $1,000 product. Thus, the economic and profit impact of a parts shortage in the U.S. could be quite severe. Conclusions: When it comes to absolute winners in case of a trade war, we believe there are three conditions that need to be met: Relatively high domestic input costs. Relatively high domestic consumption/sales; the true beneficiaries of a tariff are those industries who are allowed to either raise prices or displace foreign competitors, with the consumer typically bearing the cost. Relatively low direct exposure to global trade - international trade flows will certainly slow in a trade war. There are very few manufacturing industries that meet all of these criteria. Within manufacturing, one would typically expect the Consumer Staples and Discretionary sectors to be the best performers. However, roughly a third of the weight of Staples is in three stocks (PG, KO and PEP) that are massively dependent on foreign sales. Moreover, a similar weight of Discretionary is in two retailers (AMZN and HD) that are dependent on imports. As such, consumer indexes do not appear a safe harbor in a trade war. Nevertheless, if the trade war morphs into a recession then consumer staples (and other defensive safe-havens) will outperform, although they will still decrease in absolute terms. Transports are an industry that has relatively high domestic labor costs and an output that is consumed virtually entirely within domestic borders. However, their reliance on global trade flows - intermodal shipping is now more than half of all rail traffic - means they almost certainly lose from a prolonged trade dispute. There is one manufacturing industry that could be at least a relative winner and perhaps an absolute winner: defense. Defense manufacturers certainly satisfy the first two criteria above, though they do have reasonably heavy foreign exposure. However, we believe high switching costs and the lack of true global competitors mean that U.S. defense company foreign sales will be resilient. After all, a NATO nation does not simply switch out of F-35 jets for the Russian or Chinese equivalent. Further, if trade friction leads to rising military tension, defense stocks should outperform. Finally, the ongoing global arms race, space race and growing cybersecurity requirements all signal that these stocks are a secular growth story, as BCA has argued in the recent past.6 Still, as highlighted by the data presented above, the best shelter from a trade war can be found in services, particularly services that are insulated from trade. Financial Services appears a logical choice, especially the S&P Financial Exchanges & Data subsector (BLBG: S5FEXD - CME, SPGI, ICE, MCO, MSCI, CBOE, NDAQ). Another appealing - and defensive - sector is Health Care Services. With effectively no foreign exposure and a low beta, these stocks would outperform in the worst-case trade war-induced recession. Mark McClellan Senior Vice President The Bank Credit Analyst Marko Papic Senior Vice President Geopolitical Strategy Chris Bowes Associate Editor U.S. Equity Strategy 1 Please see BCA Geopolitical Strategy Special Report, "Constraints & Preferences Of The Trump Presidency," dated November 30, 2016, available at gps.bcaresearch.com. 2 Please see BCA Geopolitical Strategy Weekly Report, "Trump's Demands On China," dated April 4, 2018, available at gps.bcaresearch.com. 3 For more information, please see: "Global Value Chains (GVSs): United States." May 2013. OECD website. 4 Please see BCA U.S. Equity Strategy Special Report, "Brothers In Arms," dated October 31, 2016, available at uses.bcaresearch.com. 5 Please see BCA Technology Sector Strategy Special Report "Trade Wars And Technology," dated July 10, 2018, available at tech.bcaresearch.com 6 Please see BCA U.S. Equity Strategy Special Report, "Brothers In Arms," dated October 31, 2016, available at uses.bcaresearch.com. Appendix Table II-1 Allocating U.S. Import Tariffs To U.S. GICS Sectors Appendix Table II-2 Exports By U.S. Red States Appendix Table II-3 Exports By U.S. Swing States Appendix Table II-4 Exposure Of U.S. Industries To U.S. Import Tariffs
Bank Credit Analyst Highlights President Trump has taken the next step in the trade war by charging some of America's major trading partners with outright currency manipulation. However, we are not headed for Plaza Accord 2.0, because neither the ECB nor the PBOC will re-orient policy until their own economic and inflation dynamics warrant it. Moreover, we doubt the FOMC will be bullied into keeping rates lower than policymakers deem appropriate. With the labor market showing signs of overheating, the Fed will stick with its current game plan and ignore President Trump's tweets. The worsening trade dispute is the key risk that investors face and there are growing signs that uncertainty regarding the future of the world trade order is dampening animal spirits and global capital spending. Risk tolerance should be no more than benchmark. Based on previous late cycle periods, the fact that S&P 500 profit margins are still rising suggests that most risk assets will outperform bonds and other defensive sectors in the near term. Nonetheless, timing is always difficult and we have decided to focus on capital preservation given extended valuations and a raft of risks that could cause a premature end to the bull market. The flattening U.S. yield curve is also worrying. We would not ignore the signal if the curve inverts, although there are reasons to believe that it is not as good a recession signal as it has been in the past. We wish to see corroborating evidence from our other favorite indicators before trimming risk asset exposure to underweight. A peak in the S&P 500 operating margin would be a strong sign that the end of the cycle is drawing close. Even if trade tensions soon die down and global growth holds up, the extended nature of the U.S. economic and profit cycle make asset allocation particularly tricky. Attractive late-cycle assets to hold include structured product, Timberland and Farmland. High-quality bonds will of course outperform in the next recession, but yields are likely to rise in the meantime. We believe that U.S. Agency MBS are unattractively valued, but should remain insulated from negative shocks such as a trade war or higher Treasury yields. We also like Agency CMBS. Oil and related plays are not a reliable late-cycle play, but we are bullish because of the favorable supply-demand outlook. However, this does not carry over to base metals, where we are more cautious. Feature We warned in last month's Overview that investors had not yet seen "peak pessimism" on the global trade front. Right on cue, President Trump raised the stakes again in July by threatening to impose tariffs on virtually all imports of Chinese goods. Congress is pushing the President to be tough on China because American voters have soured on trade. China will not easily back down with the authorities responding in kind to the U.S. President's trade threats. They have also allowed the RMB to depreciate to cushion the trade blow (Chart I-1). It is not clear whether the authorities purposely depressed the RMB or whether they simply failed to lean against market pressures. Either way, it is a dangerous approach because it has clearly raised the U.S. President's ire. Chart I-1RMB Is Much Weaker Across The Board President Trump has taken the next step in the broader trade war by charging some major trading partners with outright currency manipulation. The script appears to be following previous times that the U.S. sought trade adjustment via tariffs and currency re-alignment: the early 1970s and the 1985 Plaza Accord. Adjusting currencies on a sustained basis requires much more than simply "talking down" the dollar. There must be major changes in relative monetary and/or fiscal policies vis-à-vis U.S. trading partners. On the fiscal front, expansionary U.S. policy is working at cross purposes with the desire to have a weaker dollar and a smaller trade gap. We do not foresee the U.S. President having any success in changing the broad thrust of monetary policy either. Europe and Japan enjoyed booming economies in the early 1970s and mid-1980s, and thus had the luxury of placating the U.S. by adjusting monetary policy and thereby appreciating their currencies. Today, it is difficult to see how either Europe or China can afford significant monetary policy tightening that generates major bull markets in their currencies. Neither the ECB nor the People's Bank of China (PBOC) will re-orient policy until their own economic and inflation dynamics warrant it.1 It is also unlikely that the Bank of Japan will raise the 10-year yield target to either strengthen the yen or to help bank profits. This is not Plaza Accord 2.0. Powell Isn't Arthur Burns As for the Fed, we doubt the FOMC will be bullied into keeping rates lower than policymakers deem appropriate. The Fed is more open and independent today than in the 1970s and 1980s. Even if Fed Chair Powell were amenable, any hint that he is being politically manipulated to change course would result in a bond market riot that would rattle investors to their core. More likely, the Fed will stick with its current game plan and ignore President Trump's tweets. Powell could not be any clearer in his July Congressional Testimony: "With a strong job market, inflation close to our objective, and the risks to the outlook roughly balanced, the FOMC believes that-for now-the best way forward is to keep gradually raising the federal funds rate." Investors should not be fooled by the uptick in the U.S. unemployment rate in June. The rise reflected a pop in the labor force participation rate. However, the labor force figures are volatile and there is no upward trend evident in the participation rate. The real story is that the labor market continues to tighten. The number of people outside the labor force who want a job, as a percentage of the total working-age population, is back to pre-recession lows. The Employment Cost Index for private-sector workers shows that wage growth is accelerating. Moreover, the New York Fed's Underlying Inflation Gauge, which leads core CPI inflation by 18 months, has already jumped to almost 3 ½% (Chart I-2). Small businesses are increasingly able to pass on cost increases to consumers (Chart I-3). Chart I-2U.S. Inflation Is Percolating Chart I-3U.S. Pricing Power On The Rise The Minutes from the mid-June FOMC meeting included a lengthy discussion of the growing signs of inflation pressure and labor shortage. Firms are responding to the lack of qualified labor by offering training, automating, and boosting wages. Anecdotal evidence suggests that bottlenecks and other cost pressures are boiling over in the transportation sector. Despite an acute shortage of truck drivers, the average hourly earnings data do not show any acceleration in their wages (Chart I-4, second panel). However, these data do not include bonuses, which have been on the rise. The PPI for truck transportation services was up 7.7% year-over-year in June, while the Cass Freight Index that tracks full-truckload prices rose 15.9% year-over-year. The latter does not even include fuel costs. These pipeline cost pressures have implications not only for the Fed, but for corporate profit margins as well (see below). Chart I-4U.S. Transportation Is Boiling Over The U.S. Yield Curve: A Red Flag? The FOMC expects that the fed funds rate will continue to rise and will temporarily exceed its 2.9% estimate of the neutral rate. If the true neutral rate is higher than the Fed's estimate, then the FOMC could find itself hiking too slowly and the economy could severely overheat. And vice versa if the true neutral rate is below 2.9%. We are keeping a close eye on the yield curve as an indication of policy tightness. If the curve inverts with a few more Fed rate hikes, it would signal that the market believes that policy is turning restrictive. It is possible that the yield curve is not as good a recession signal as it has been in the past. First, there is a lot of uncertainty regarding the neutral fed funds rate in the post-GFC world. The collective market wisdom on this could be wrong. Indeed, BCA's Chief Global Strategist, Peter Berezin, makes the case that the neutral rate is rising faster than most investors believe.2 Structural factors have depressed the neutral rate, including population aging and low productivity growth. However, these structural tailwinds for bond prices are now slowly turning into headwinds. Moreover, as Peter argues, cyclical pressures are acting to lift the neutral rate. Private credit growth is rising faster than nominal GDP growth again. The same is true for housing and equity wealth, at a time when the personal saving rate is falling. All this implies strong desired spending which, in turn, suggests a higher neutral rate of interest. It will be important to watch the housing market; if it remains healthy in the face of rate hikes, it means that the neutral rate is still north of the actual fed funds rate. Chart I-5 presents today's market expectation for the real fed funds rate, based on the forward OIS curve and the forward CPI swaps curve. Technical issues may be distorting forward rates in 2019, but we are more interested in expectations further into the future. The real fed funds rate is expected to hover in the 55-75 basis point range until 2024. It then rises to about 1%, but not until almost the end of the next decade. This appears overly complacent to us, suggesting that the risks are to the upside for market expectations of the terminal, or neutral, short-term interest rate. If the neutral rate is indeed higher than the market is currently discounting, then an inverted curve may be premature in signaling that policy is too tight and that an economic slowdown is on the horizon. Moreover, the term premium on long-term bonds may still be depressed by asset purchases by the Fed and the other major central banks, again suggesting that the curve will more easily invert than in the past. There is much disagreement on this issue, even among FOMC members and among BCA strategists. This publication is sympathetic to the work done by the Fed Staff which suggests that the term premium has been substantially depressed by quantitative easing. Chart I-6 shows the annual change in the size of G4 central bank balance sheets (inverted), along with an estimate of the term premium in the 10-year government bonds of the major countries. The chart is far from conclusive, but it is consistent with the view that QE has depressed term premia worldwide. Moreover, forward guidance and the low level of inflation since the GFC have undoubtedly dampened interest-rate volatility, which theory suggests is a key driver of the term premium. Chart I-5Policy Rate Expectations Chart I-6Depressed Term Premiums ##br##Distort Yield Curves The factors that have depressed the term premium are beginning to reverse, including G4 central bank balance sheets. Still, the premium will trend higher from a low starting point, suggesting that an inverted curve today may not necessarily signal a recession. That said, it would be wrong to completely dismiss a U.S. curve inversion, given its excellent track record. Historically, the 3-month/10-year Treasury slope has worked better than the 2/10 yield slope in terms of calling recessions. An inversion of the 3-month/10-year curve has successfully heralded all seven recessions in the past 50 years with one false positive signal. Nonetheless, the curve tends to be very early, inverting an average of almost 12 months before the recession. And, given the possible distortion to the term premium, we would want to see corroborating evidence before jumping to the conclusion that an inverted curve is sending a correct recession signal. For example, the U.S. and/or global Leading Economic Indicator would need to turn negative. The bottom line is that a curve inversion would not be enough on its own to further trim risk asset exposure to underweight. Nonetheless, we are not dismissing the message from the yield curve either, especially in the context of a trade war that could prematurely end the expansion. Trade War Hitting Economy? Estimates based on macro models suggest that the damage to global GDP growth from higher tariffs would be quite small. Nonetheless, these models do not incorporate the indirect, or second-round, effects of rising tariff walls. Business leaders abhor uncertainty, and will no doubt hold off on major capital expenditure plans until the trade dust settles. The uncertainty can then ripple through the economy to industries that are not directly affected by the trade action. The extensive use of global supply chains reinforces this ripple effect. Labor is not free to move between countries or between industries to facilitate shifts in production that are required by changing tariffs. Capital is more mobile, but it is still expensive to shift machinery. Some of the world's capital stock could become "stranded", raising the cost of the tariffs to the world economy. Finally, important economies-of-scale are lost when firms no longer have access to a single large global market. This month's Special Report, beginning on page 18, sorts out the U.S. equity sector winners and the losers from a trade war with China. Spoiler alert: there are not many winners! The bottom line is that the trade threat for the global economy and risk assets is far from trivial. The negative trade headlines have not had a meaningful economic impact so far, but there are some worrying signs. A number of indicators suggest that global growth continues to slow, including the BCA Global Leading Economic Indicator diffusion index, the Global ZEW sentiment index and the BCA Global Credit Impulse index (Chart I-7). The softness in these indicators predates the latest flaring of trade tensions. Nonetheless, business confidence outside the U.S. has dipped (fourth panel). Growth in capital goods imports for an aggregate of 20 countries continues to decelerate, along with industrial production for capital goods and machinery & electrical equipment in the major advanced economies (production related to energy, consumer products and IT remain strong; Chart I-8). Chart I-7Global Growth Is Still Moderating... Chart I-8...In Part Due To Capital Spending None of these data are flagging a disaster, but they all support the view that uncertainty regarding the future of the world trade order is dampening animal spirits and global capital spending. Even if trade tensions soon die down, the extended nature of the U.S. economic and profit cycle make asset allocation particularly tricky. Late Cycle Investing Some of our economic and policy analysis over the past year has focused on previous late-cycle periods. Specifically, we analyzed the growth, inflation and policy dynamics after the point when the economy reached full employment (i.e. when the unemployment rate fell below the CBO estimate of full employment). This month we look at asset class returns during late cycle periods. We wanted to use as broad a range of asset classes as possible, although data limitations mean that we can only analyze the late-cycle periods at the end of the 1990s and the mid-2000s (Chart I-9). To refine the analysis, we split the late-cycle periods into two parts: before and after S&P 500 profit margins peak. One could use other signposts to split the period, such as a peak in the ISM manufacturing index. However, using the S&P operating profit margin proved to be a more useful break point across the cycles in terms of timing trend changes in risk assets. Table I-1 presents total returns for the following periods: (1) the full late-cycle period - i.e. from the point at which full employment is reached until the following recession; (2) from the point of full employment to the peak in the S&P margin; (3) from the peak in the margin to the recession; and (4) during the subsequent recession. All returns are annualized for comparison purposes, and the data shown are the average of the late 1990s and mid-2000 late-cycle periods. Chart I-9Margin Peak Signals Very Late Cycle Table I-1Late-Cycle Asset Returns We must be careful in interpreting the results because no two cycles are exactly the same, and we only have two cycles in our sample of data. Nonetheless, we make the following observations: Treasury bond returns are positive across the board, which seems odd at first glance. However, in both cases the selloff occurred before the late-cycle period began. Yields then fluctuated in a range, and then began to fall after margins peaked. Global factors also contributed to Greenspan's "conundrum" of stable bond yields in the years before the Great Recession. We do not expect a replay this time around given the low starting point for real yields and the fact that the Fed is encouraging an overshoot of the inflation target. Bonds are unlikely to provide positive returns on a six month horizon. Similar to Treasurys, investment-grade (IG) corporate bond returns were positive across the board for the same reason. However, IG underperformed Treasurys after margins peaked and into the recession. High-yield bonds followed a similar pattern, but suffered negative absolute returns after margins peaked. U.S. stocks began to sniff out the next recession after margins peaked. Small caps outperformed large caps in the recessions, but relative performance was mixed after margins peaked. We are avoiding small caps at the moment based on poor fundamentals and valuations. Growth stocks had a mixed performance versus value stocks before and after margins peaked, but tended to outperform in the recessions. Dividend Aristocrats performed well relative to the overall equity market after margins peaked and into the recessions on average, but the performance was not consistent across the two late cycles. EM stocks performed well before margins peak, and poorly during the recessions. However, the performance is mixed in the period between the margin peak and the recession. We recommend an underweight allocation because of poor macro fundamentals and tightening financial conditions. In theory, Hedge Funds are supposed to be able to perform well in any environment, but returns were a mixed bag after margins peaked. The return performance of Private Equity, Venture Capital and Distressed Debt were similar to the S&P 500, albeit with more volatility. Avoid them after margins peak. Structured Product is one of the few categories that performed well across all periods and cycles. The index we used includes MBS, CMBS and ABS. Farmland and Timberland returns were attractive across all periods and cycles, except for Timberland during one of the recessions. Oil and non-oil commodities tended to perform poorly during recession, but returns were inconsistent in the other phases shown in the table. Gold was also a mixed bag. The historical return analysis underscores that it is dangerous to remain aggressively positioned late in an economic cycle because risk assets can begin to underperform well before evidence accumulates that the economy has fallen into recession. Using the peak in the S&P 500 operating profit margin as a signal to lighten up appears prudent. Based on this approach, investors should generally remain overweight risk assets generally, including stocks, corporate bonds, hedge funds, private equity and real estate, as long as margins are still rising. Investors should scale back in most of these areas as soon as margins peak. For fixed income, investors should be looking to raise exposure but move up in quality after margins peak. Oil and related plays are not a reliable late-cycle play, but we are bullish because of the favorable supply-demand outlook. However, this does not carry over to base metals, where we are more cautious. There are some assets other than government bonds that generated a positive average return late in the cycle and during the recession periods, suggesting that they are good late-cycle assets to hold. However, this is misleading because in some cases they experienced a significant correction either during or slightly before the recession (see the maximum drawdown columns in Table I-1; blank cells indicate that the asset did not experience a correction). These include IG credit, CMBS, ABS, Gold and Dividend Aristocrats. The only assets in our list that provided both a positive return across all the phases in Table I-1 and avoided a correction during the recessions, were mortgage-backed securities, Timberland and Farmland. A Special Report from BCA's Global Asset Allocation service found that Timberland is a superior inflation hedge to Farmland, but the latter is a superior hedge against recessions and equity bear markets.3 We believe that Agency MBS are unattractively valued, but should remain insulated from negative shocks such as a trade war or higher Treasury yields (as long as the Treasury selloff is not extreme). Our fixed income team also likes Agency CMBS.4 When Will U.S. Margins Peak? It is impressive that S&P 500 after-tax operating margins are extremely elevated and still rising. The trend has been aided by tax cuts, but corporate pricing power has improved and wage growth has not yet accelerated enough to damage margins. Chart I-10 presents some indicators to monitor as we await the cyclical peak in profit margins. These are generally not leading indicators, but they do provide some warning when they roll over late in the cycle. The first is the BCA Margin Proxy, which is the ratio of selling prices for the non-financial corporate sector to unit labor costs. Margins have tended to fall historically when the growth rate of this ratio is below zero. The same is true for nominal GDP growth minus aggregate wages. The aggregate wage bill incorporates both changes in wages/hour and in total hours worked. We are also watching a diffusion index of the changes in margins for the industrial components of the S&P 500, as well as BCA's Corporate Pricing Power indicator. The latter takes into consideration price changes at the detailed industry level. Chart I-10U.S. Profit Margin Indicators To Watch None of these indicators are signaling an imminent top in margins, but all appear to have peaked except the Corporate Pricing Power indicator. An equally-weighted average of these four indicators, labelled the U.S. Composite Margin Indicator in Chart I-10, is falling but is still above the zero line. We would not be surprised to see S&P 500 margins peak for the cycle late early in 2019. Conclusions: The S&P 500 has so far been largely immune to shocking trade headlines with the help of a solid start to the U.S. Q2 earning season. Based on previous late cycle periods, the fact that S&P 500 profit margins are still rising suggests that investors should remain fully-exposed to most risk assets. Nonetheless, timing is always difficult and we have decided to focus on capital preservation given extended valuations and a raft of risks that could cause a premature end to the bull market. These risks include a possible hard economic landing in China, crises in one or more EM countries, and an escalation in the trade war among others. Some investors appear to believe that the U.S. can "win" the trade war, but there are no winners when tariff walls are rising. We are not yet ready to go underweight on risk assets, but risk tolerance should be no more than benchmark. This includes equities, corporate bonds, EM assets and other risky sectors. An inversion of the yield curve could trigger a shift to underweight, although this signal would have to be corroborated by our other favorite U.S. and global indicators. Attractive late-cycle assets to hold include structured product, Timberland and Farmland. The first statements by Jay Powell as FOMC Chair underscored that it is too early to hide in Treasurys. Market expectations for real short-term interest rates are overly benign out to the middle of the next decade. Moreover, the Fed is not in a position to be proactive in leaning against the negative impact of rising tariffs because inflation is near target and the labor market is showing signs of overheating. This means that bond yields are headed higher until economic pain is clearly evident. Keep duration short of benchmark. Long-term rate expectations for the Eurozone appear even more complacent than they do for the U.S. The real ECB policy rate is expected to remain in negative territory until 2028 (Chart I-5)! At some point there will be a convergence of real rate expectations with the U.S., which will boost the value of the euro. Nonetheless, we believe that it is too early to position for rate convergence. Core inflation is still well below target and Eurozone economic growth has softened recently, suggesting that the ECB will be in no hurry to lift rates once asset purchases have ended. ECB policymakers will be disinclined to cater to President's Trump's desire for tighter monetary policy in Europe, which means that the U.S. dollar has more upside versus the euro and in broad trade-weighted terms. An escalation in the trade war would augment upward pressure on the greenback. As the dollar's behavior during the Global Financial Crisis illustrates, even major shocks that originate from the U.S. tend to attract capital inflows into the safe-haven Treasury market. Emerging market assets are particularly vulnerable to another upleg in the dollar because of the high level of U.S. dollar-denominated debt. Favor DM to EM equity markets and currencies. Mark McClellan Senior Vice President The Bank Credit Analyst July 26, 2018 Next Report: August 30, 2018 1 For more information on why a replay of the 1985 Plaza Accord is unlikely, please see BCA Geopolitical Strategy Weekly Report "The Dollar May Be Our Currency, But It Is Your Problem," dated July 25, 2018, available on gps.bcaresearch.com 2 Please see BCA Global Investment Strategy Weekly Report "U.S. Housing Will Drive the Global Business Cycle...Again," dated July 6, 2018, available on gis.bcaresearch.com 3 Please see BCA Global Asset Allocation Service Special Report "U.S. Farmland & Timberland: An Investment Primer," dated October 24, 2017, available on gaa.bcaresearch.com 4 Please see BCA's U.S. Bond Strategy Weekly Report, "The Fed's Balance Sheet Problem," dated July 17, 2018, available on usbs.bcaresearch.com II. U.S. Equity Sectors: Trade War Winners And Losers In this Special Report, we shed light on the implications of the U.S./Sino trade war for U.S. equity sectors. The threat that trade action poses to the U.S. equity market is greater than in past confrontations. Perhaps most importantly, supply chains are much more extensive, globally and between China and the U.S. Automobile Components, Electrical Equipment, Materials, Capital Goods and Consumer Durables have the most extensive supply chain networks. The USTR claims that it is being strategic in the Chinese goods it is targeting, focusing on companies that will benefit from the "Made In China 2025" initiative. The list of Chinese goods targeted in both the first and second rounds covers virtually all of the broad import categories. The only major items left for the U.S. to hit are apparel, footwear, toys and cellphones. Beijing is clearly targeting U.S. products based on politics in order to exert as much pressure on the President's party as possible. Based on a list of products that comprise the top-10 most exported goods of Red and Swing States, China will likely lift tariffs in the next rounds on civilian aircraft, computer electronics, healthcare equipment, car engines, chemicals, wood pulp, telecommunication and integrated circuits. Supply chains within and between industries and firms mean that the impact of tariffs is much broader than the direct impact on exporters and importers. We measure the relative exposure of 24 GICs equity sectors to the trade war based on their proportion of foreign-sourced revenues and the proportion of each industry's total inputs that are affected by U.S. tariffs. The Semiconductors & Semiconductor Equipment sector stands out, but the Technology & Hardware Equipment, Capital Goods, Materials, Consumer Durables & Apparel and Motor Vehicle sectors are also highly exposed to anti-trade policy action. Energy, Software, Banks and all other service sectors are much less exposed. China may also attempt to disrupt supply chains via non-tariff barriers, placing even more pressure on U.S. firms that have invested heavily in China. Wholesale Trade, Chemicals, Transportation Equipment, Computers & Electronic Parts and Finance & Insurance are most exposed. U.S. technology companies are particularly vulnerable to an escalating trade war. Virtually all U.S. manufacturing industries will be negatively affected by an ongoing trade war, even defensive sectors such as Consumer Staples. The one exception is defense manufacturers, where we recommend overweight positions. Our analysis highlights that the best shelter from a trade war can be found in services, particularly services that are insulated from trade. Financial Services appears a logical choice, and the S&P Financial Exchanges & Data subsector is one of our favorites. The trade skirmish is transitioning to a full-on trade war. The U.S. has imposed a 25% tariff on $50 billion worth of Chinese goods, and has proposed a 10% levy on an additional $200 billion of imports by August 31. China retaliated with tariffs on $50 billion of imports from the U.S., but Trump has threatened tariffs on another $300 billion if China refuses to back down. That would add up to over $500 billion in Chinese goods and services that could be subject to tariffs, only slightly less than the total amount that China exported to the U.S. last year. BCA's Geopolitical Strategy has emphasized that President Trump is unconstrained on trade policy, giving him leeway to be tougher than the market expects.1 This is especially the case with respect to China. There will be strong pushback from Congress and the U.S. business lobby if the Administration tries to cancel NAFTA. In contrast, Congress is also demanding that the Administration be tough on China because it plays well with voters. Trump is a prisoner of his own tough pre-election campaign rhetoric against China. The U.S. primary economic goal is not to equalize tariffs but to open market access.2 The strategic goal is much larger. The U.S. wants to see China's rate of technological development slow down. Washington will expect robust guarantees to protect intellectual property and proprietary technology before it dials down the pressure on Beijing. The threat that the trade war poses to the U.S. equity market is greater than in past confrontations, such as that between Japan and the U.S. in the late 1980s. First, stocks are more expensive today. Second, interest rates are much lower, limiting how much central banks can react to adverse shocks. Third, and perhaps most importantly, supply chains are much more extensive, globally and between China and the U.S. Nearly every major S&P 500 multinational corporation is in some way exposed to these supply chains. Chart II-1 shows that Automobile Components, Electrical Equipment, Materials, Capital Goods and Consumer Durables have the most extensive supply chain networks. The Global Value Chain Participation rate, constructed by the OECD, is a measure of cross-border value-added linkages.3 In this Special Report, we shed light on the implications of the trade war for U.S. equity sectors. Complex industrial interactions make it difficult to be precise in identifying the winners and losers of a trade war. Nonetheless, we can identify the industries most and least exposed to a further rise in tariff walls or non-tariff barriers to trade. We focus on the U.S./Sino trade dispute in this Special Report, leaving the implications of a potential trade war with Europe and the possible failure of NAFTA negotiations for future research. Chart II-1Measuring Global Supply Chains Trade Channels There are at least five channels through which rising tariffs can affect U.S. industry: The Direct Effect: This can be positive or negative. The impact is positive for those industries that do not export much but are provided relief from stiff import competition via higher import tariffs. The impact is negative for those firms facing higher tariffs on their exports, as well as for those firms facing higher costs for imported inputs to their production process. These firms would be forced to absorb some of the tariff via lower profit margins. Some industries will fall into both positive and negative camps. U.S. washing machines are a good example. Whirlpool's stock price jumped after President Trump announced an import tariff on washing machines, but it subsequently fell back when the Administration imposed an import tariff on steel and aluminum (that are used in the production of washing machines); Indirect Effect: The higher costs for imported goods are passed along the supply chain within an industry and to other industries that are not directly affected by rising tariffs. This will undermine profit margins in these indirectly-affected industries to the extent that they cannot fully pass along the higher input costs; Foreign Direct Investment: Some Chinese exports emanate from U.S. multinationals' subsidiaries in China, or by Chinese or foreign OEM suppliers for U.S. firms. Even though it would undermine China's economy to some extent, the Chinese authorities could make life more difficult for these firms in retaliation for U.S. tariffs on Chinese goods. Macro Effect: A trade war would take a toll on global trade and reduce GDP growth globally. Besides the negative effect of uncertainty on business confidence and, thus, capital spending, rising prices for both consumer and capital goods will reduce the volume of spending in both cases. Moreover, corporate profits have a high beta with respect to economic activity. We would not rule out a U.S. recession in a worst-case scenario. Obviously, a recession or economic slowdown would inflict the most pain on the cyclical parts of the S&P 500 relative to the non-cyclicals, in typical fashion. Currency Effect: To the extent that a trade war pushes up the dollar relative to the other currencies, it would undermine export-oriented industries and benefit those that import. However, while we are bullish the dollar due to diverging monetary policy, the dollar may not benefit much from trade friction given retaliatory tariff increases by other countries. Some of the direct and indirect impact can be mitigated to the extent that importers facing higher prices for Chinese goods shift to similarly-priced foreign producers outside of China. Nonetheless, this adjustment will not be costless as there may be insufficient supply capacity outside of China, leading to upward pressure on prices globally. Targeted Sectors: (I) U.S. Tariffs On Chinese Goods As noted above, the U.S. has already imposed tariffs on $50 billion of Chinese imports and has published a list of another $200 billion of goods that are being considered for a 10% tariff in the second round of the trade war. The first round focused on intermediate and capital goods, while the second round includes consumer final demand categories such as furniture, air conditioners and refrigerators. The latter will show up as higher prices at retailers such as Wal Mart, having a direct and visible impact on U.S. households. Appendix Table II-A1 lists the goods that are on the first and second round lists, grouped according to the U.S. equity sectors in the S&P 500. The U.S. Trade Representative (USTR) claims that the Chinese items are being targeted strategically. It is focusing on companies that will benefit from China's structural policies, such as the "Made In China 2025" initiative that is designed to make the country a world leader in high-tech areas (see below). Table II-1 reveals the relative size of the broad categories of U.S. imports from China, based on trade categories. The top of the table is dominated by Motor Vehicles, Machinery, Telecommunication Equipment, Computers, Apparel & Footwear and other manufactured goods. The list of Chinese goods targeted in both the first and second rounds covers virtually all of the broad categories in Table II-1. The only major items left for the U.S. to hit are Apparel and Footwear, as well as two subcategories; Toys and Cellphones. These are all consumer demand categories. Table II-1U.S. Imports From China (January-May 2018) (II) Chinese Tariffs On U.S. Goods Total U.S. exports to China were less than $53 billion in the first five months of 2018, limiting the amount of direct retaliation that China can undertake (Table II-2). The list of individual U.S. products that China has targeted so far is long, but we have condensed it into the broad categories shown in Table II-3. The U.S. equity sectors that the new tariffs affect so far include Food, Beverage & Tobacco, Automobiles & Components, Materials and Energy. China has concentrated mainly on final goods in a politically strategic manner, such as Trump-supported rural areas and Harley Davidson bikes whose operations are based in Paul Ryan's home district in Wisconsin. Table II-2U.S. Exports To China (January-May 2018) Table II-3China Tariffs On U.S. Goods What will China target next? Chart II-2 shows exports to China as percent of total state exports, and Chart II-3 presents the value of products already tariffed by China as a percent of state exports. Other than Washington, the four states most targeted by Beijing are conservative: Alaska, Alabama, Louisiana and South Carolina. Chart II-2U.S. Exports To China By State Chart II-3Value Of U.S. Products Tariffed By China (By State) Beijing is clearly targeting products based on politics in order to exert as much pressure on the President's party as possible. To identify the next items to be targeted, we constructed a list of products that comprise the top-10 most exported goods of Red States (solidly conservative) and Swing States (competitive states that can go either to Republican or Democratic politicians). Appendix Tables II-A2 and II-A3 show this list of products, with those that have already been flagged by China for tariffs crossed out. Table II-4 shows the top-10 list of products that are not yet tariffed by China, but are distributed in a large proportion of Red and Swing states. What strikes us immediately is how important aircraft exports are to a large number of Swing and Red States. In total, 27 U.S. states export civilian aircraft, engines and parts to China. This is an obvious target of Beijing's retaliation. In addition, we believe that computer electronics, healthcare equipment, car engines, chemicals, wood pulp, telecommunication and integrated circuits are next. Table II-4Number Of U.S. States Exporting To China By Category Market Reaction Chart II-4 highlights how U.S. equity sectors performed during seven separate days when the S&P 500 suffered notable losses due to heightened fears of protectionism. Cyclical sectors such as Industrials and Materials fared worse during days of rising protectionist angst. Financials also generally underperformed, largely because such days saw a flattening of the yield curve. Tech, Health Care, Energy and Telecom performed broadly in line with the S&P 500. Consumer Staples outperformed the market, but still declined in absolute terms. Utilities and Real Estate were the only two sectors that saw absolute price gains. The market reaction seems sensible based on the industries caught in the cross-hairs of the trade action so far. At least some of the potential damage is already discounted in equity prices. Nonetheless, it is useful to take a closer look at the underlying factors that should determine the ultimate winners and losers from additional salvos in the trade war. Chart II-4S&P 500: Impact Of Trade-Related Events Determining The Winners And Losers The U.S. sectors that garner the largest proportion of total revenues from outside the U.S. are obviously the most exposed to a trade war. For the 24 level 2 GICS sectors in the S&P 500, Table II-5 presents the proportion of total revenues that is generated from operations outside the U.S. for the top five companies in the sector by market cap. Company reporting makes it difficult in some cases to identify the exact revenue amount coming from outside the U.S., as some companies regard "domestic" earnings as anything generated in North America. Nonetheless, we believe the data in Table II-5 provide a reasonably accurate picture. Table II-5Foreign Revenue Exposure (2017) Semiconductors, Tech Equipment, Materials, Food & Beverage, Software and Capital Goods are at the top of the list in terms of foreign-sourced revenues. Not surprisingly, service industries like Real Estate, Banking, Utilities and Telecommunications Services are at the bottom of the exposure list. U.S. companies are also exposed to U.S. tariffs that lift the price of imported inputs to the production process. This can occur directly when firm A imports a good from abroad, and indirectly, when firm A sells its intermediate good to firm B at a higher price, and then on to firm C. In order to capture the entire process, we used the information contained in the Bureau of Economic Analysis' Input/Output tables. We estimated the proportion of each industry's total inputs that are affected by already-implemented U.S. tariffs and those that are on the list for the next round of tariffs. These estimates, shown in Appendix Table II-A4 at a detailed industrial level, include both the direct and indirect effects of higher import costs. At the top of the list is Motor Vehicles and Parts, where Trump tariffs could affect more than 70% of the cost of all material inputs to the production process. Electrical Equipment, Machinery and other materials industries are also high on the list, together with Furniture, Computers & Electronic Parts and Construction. Unsurprisingly, service industries and Utilities are in the bottom half of the table.4 We then allocated all the industries in Appendix Table II-A4 to the 24 GICs level 2 sectors in the S&P 500, in order to obtain an import exposure ranking in S&P sector space (Table II-6). Table II-6U.S. Import Tariff Exposure Chart II-5 presents a scatter diagram that compares import tariff exposure (horizontal axis) with foreign revenue exposure (vertical axis). The industries clustered in the top-right of the diagram are the most exposed to a trade war. Chart II-5U.S. Industrial Exposure To A Trade War With China The Semiconductors & Semiconductor Equipment sector stands out by this metric, but the Technology & Hardware Equipment, Capital Goods, Materials, Consumer Durables & Apparel and Motor Vehicle sectors are also highly exposed to anti-trade policy action. Energy, Software, Banks and all other service sectors are much less exposed. Food, Beverage & Tobacco lies between the two extremes. Joint Ventures And FDI Table II-7Stock Of U.S. Direct ##br##Investment In China (2017) As mentioned above, most U.S. production taking place in China involves a joint venture. The Chinese authorities could attempt to disrupt the supply chain of a U.S. company by hindering production at companies that have ties to U.S. firms. Data on U.S. foreign direct investment (FDI) in China will be indicative of the industries that are most exposed to this form of retaliation. The stock of U.S. FDI in China totaled more than $107 billion last year (Table II-7). At the top of the table are Wholesale Trade, Chemicals, Transportation Equipment, Computers & Electronic Parts and Finance & Insurance. Apple is a good example of a U.S. company that is exposed to non-tariff retaliation, as the iPhone is assembled in China by Foxconn for shipment globally with mostly foreign sourced parts. Our Technology sector strategists argue that U.S. technology companies are particularly vulnerable to an escalating trade war (See Box II-1).5 BOX II-1 The Tech Sector The U.S. has applied tariffs on the raw materials of technology products rather than finished goods so far. At a minimum, this will penalize smaller U.S. tech firms which manufacture in the U.S. and provide an incentive to move production elsewhere. Worst case, the U.S. tariffs might lead to component shortages which could have a disproportionately negative impact, especially on smaller firms. Although it has not been proposed, U.S. tariffs on finished goods would be devastating to large tech companies such as Apple, which outsources its manufacturing to China. China appears determined to have a vibrant high technology sector. The "Made In China 2025" program, for example, combines ambitious goals in supercomputers, robotics, medical devices and smart cars, while setting domestic localization targets that would favor Chinese companies over foreigners. The ZTE sanctions and the potential for enhanced export controls have had a traumatic impact on China's understanding of its relatively weak position with respect to technology. As a result, because most high-tech products are available from non-U.S. sources, Chinese engineers will likely be encouraged to design with non-U.S. components; for example, selecting a Samsung instead of a Qualcomm processor for a smartphone. Similarly, China is a major buyer of semiconductor capital equipment as it follows through with plans to scale up its semiconductor industry. Most such equipment is also available from non-U.S. vendors, and it would be understandable if these suppliers are selected given the risk which would now be associated with selecting a U.S. supplier. The U.S. is targeting Chinese made resistors, capacitors, crystals, batteries, Light Emitting Diodes (LEDs) and semiconductors with a 25% tariff. For the most part these are simple, low cost devices, which are used by the billions in high-tech devices. Nonetheless, China could limit the export of these products to deliver maximum pain, leading to a potential shortage of qualified parts. A component shortage can have a devastating impact on production since the manufacturer may not have the ability to substitute a new part or qualify a new vendor. Since the product typically won't work unless all the right parts are installed, want of a dollar's worth of capacitors may delay shipping a $1,000 product. Thus, the economic and profit impact of a parts shortage in the U.S. could be quite severe. Conclusions: When it comes to absolute winners in case of a trade war, we believe there are three conditions that need to be met: Relatively high domestic input costs. Relatively high domestic consumption/sales; the true beneficiaries of a tariff are those industries who are allowed to either raise prices or displace foreign competitors, with the consumer typically bearing the cost. Relatively low direct exposure to global trade - international trade flows will certainly slow in a trade war. There are very few manufacturing industries that meet all of these criteria. Within manufacturing, one would typically expect the Consumer Staples and Discretionary sectors to be the best performers. However, roughly a third of the weight of Staples is in three stocks (PG, KO and PEP) that are massively dependent on foreign sales. Moreover, a similar weight of Discretionary is in two retailers (AMZN and HD) that are dependent on imports. As such, consumer indexes do not appear a safe harbor in a trade war. Nevertheless, if the trade war morphs into a recession then consumer staples (and other defensive safe-havens) will outperform, although they will still decrease in absolute terms. Transports are an industry that has relatively high domestic labor costs and an output that is consumed virtually entirely within domestic borders. However, their reliance on global trade flows - intermodal shipping is now more than half of all rail traffic - means they almost certainly lose from a prolonged trade dispute. There is one manufacturing industry that could be at least a relative winner and perhaps an absolute winner: defense. Defense manufacturers certainly satisfy the first two criteria above, though they do have reasonably heavy foreign exposure. However, we believe high switching costs and the lack of true global competitors mean that U.S. defense company foreign sales will be resilient. After all, a NATO nation does not simply switch out of F-35 jets for the Russian or Chinese equivalent. Further, if trade friction leads to rising military tension, defense stocks should outperform. Finally, the ongoing global arms race, space race and growing cybersecurity requirements all signal that these stocks are a secular growth story, as BCA has argued in the recent past.6 Still, as highlighted by the data presented above, the best shelter from a trade war can be found in services, particularly services that are insulated from trade. Financial Services appears a logical choice, especially the S&P Financial Exchanges & Data subsector (BLBG: S5FEXD - CME, SPGI, ICE, MCO, MSCI, CBOE, NDAQ). Another appealing - and defensive - sector is Health Care Services. With effectively no foreign exposure and a low beta, these stocks would outperform in the worst-case trade war-induced recession. Mark McClellan Senior Vice President The Bank Credit Analyst Marko Papic Senior Vice President Geopolitical Strategy Chris Bowes Associate Editor U.S. Equity Strategy 1 Please see BCA Geopolitical Strategy Special Report, "Constraints & Preferences Of The Trump Presidency," dated November 30, 2016, available at gps.bcaresearch.com. 2 Please see BCA Geopolitical Strategy Weekly Report, "Trump's Demands On China," dated April 4, 2018, available at gps.bcaresearch.com. 3 For more information, please see: "Global Value Chains (GVSs): United States." May 2013. OECD website. 4 Please see BCA U.S. Equity Strategy Special Report, "Brothers In Arms," dated October 31, 2016, available at uses.bcaresearch.com. 5 Please see BCA Technology Sector Strategy Special Report "Trade Wars And Technology," dated July 10, 2018, available at tech.bcaresearch.com 6 Please see BCA U.S. Equity Strategy Special Report, "Brothers In Arms," dated October 31, 2016, available at uses.bcaresearch.com. Appendix Table II-1 Allocating U.S. Import Tariffs To U.S. GICS Sectors Appendix Table II-2 Exports By U.S. Red States Appendix Table II-3 Exports By U.S. Swing States Appendix Table II-4 Exposure Of U.S. Industries To U.S. Import Tariffs III. Indicators And Reference Charts Our equity-related indicators flashed caution again in July, despite robust U.S. corporate earnings indicators. Forward earnings estimates continued to surge in July. The net revisions ratio and the earnings surprises index remained well above average, suggesting that forward earnings still have upside potential in the coming months. However, several of our indicators suggest that it is getting late in the bull market. Our Monetary Indicator is approaching very low levels by historical standards. Equities are still close to our threshold of overvaluation, at a time when our Composite Technical Indicator appears poised to break down. An overvalued reading is not bearish on its own, but valuation does provide information on the downside risks when the correction finally occurs. Equity sentiment is close to neutral according to our composite indicator, but the low level of implied volatility suggests that investors are somewhat complacent. Our U.S. Willingness-to-Pay (WTP) indicator has fallen significantly this year, and the Japanese WTP appears to be rolling over. The WTP indicators track flows, and thus provide information on what investors are actually doing, as opposed to sentiment indexes that track how investors are feeling. Flows into the U.S. stock market are waning, and those into the Japanese market are wavering. Flows into European stocks have flattened off. Finally, our Revealed Preference Indicator (RPI) for stocks remained on a ‘sell’ signal in July. The RPI combines the idea of market momentum with valuation and policy measures. It provides a powerful bullish signal if positive market momentum lines up with constructive signals from the policy and valuation measures. Conversely, if constructive market momentum is not supported by valuation and policy, investors should lean against the market trend. These indicators are not aligned at the moment, further supporting the view that caution is warranted. The U.S. 10-year Treasury is slightly on the inexpensive side and our Composite Technical Indicator suggests that the bond has still not worked off oversold conditions. This suggests that the consolidation period has further to run, although we still expect yields to move higher over the remainder of the year. This month’s Overview section discusses the upside potential for the term premium in the yield curve and for market expectations of the terminal fed funds rate. This year’s dollar rally has taken it to very expensive levels according to our purchasing power parity estimate. The long-term trend in the dollar is down, but we still believe it has some upside while market expectations for the terminal fed funds rate adjust upward. EQUITIES: Chart III-1U.S. Equity Indicators Chart III-2Willingness To Pay For Risk Chart III-3U.S. Equity Sentiment Indicators Chart III-4Revealed Preference Indicator Chart III-5U.S. Stock Market Valuation Chart III-6U.S. Earnings Chart III-7Global Stock Market And Earnings: ##br##Relative Performance Chart III-8Global Stock Market And Earnings: ##br##Relative Performance FIXED INCOME: Chart III-9U.S. Treasurys And Valuations Chart III-10U.S. Treasury Indicators Chart III-11Selected U.S. Bond Yields Chart III-1210-Year Treasury Yield ComponentsChart III-13U.S. Corporate Bonds And Health Monitor Chart III-14Global Bonds: Developed Markets Chart III-15Global Bonds: Emerging Markets CURRENCIES: Chart III-16U.S. Dollar And PPP Chart III-17U.S. Dollar And Indicator Chart III-18U.S. Dollar Fundamentals Chart III-19Japanese Yen Technicals Chart III-20Euro Technicals Chart III-21Euro/Yen Technicals Chart III-22Euro/Pound Technicals COMMODITIES: Chart III-23Broad Commodity Indicators Chart III-24Commodity Prices Chart III-25Commodity Prices Chart III-26Commodity Sentiment Chart III-27Speculative Positioning ECONOMY: Chart III-28U.S. And Global Macro Backdrop Chart III-29U.S. Macro Snapshot Chart III-30U.S. Growth Outlook Chart III-31U.S. Cyclical Spending Chart III-32U.S. Labor Market Chart III-33U.S. Consumption Chart III-34U.S. Housing Chart III-35U.S. Debt And Deleveraging Chart III-36U.S. Financial Conditions Chart III-37Global Economic Snapshot: Europe Chart III-38Global Economic Snapshot: China Mark McClellan Senior Vice President The Bank Credit Analyst
Highlights FTSE100 = Overweight global Oil and Gas in pounds. Eurostoxx50 = Overweight global Banks in euros. Nikkei225 = Overweight global Industrials in yen. S&P500 = Overweight global Technology in dollars. Of these four sector and four currency components, we have more conviction right now on the four sectors than on the four currencies. Through the summer, our preferred ranking of the four sectors is: Technology, Banks and Industrials (tied), Oil and Gas. Which necessarily means that our preferred ranking of the major equity markets is: S&P500, Eurostoxx50 and Nikkei225 (tied), FTSE100. Chart I-1FTSE100 Vs. S&P500 = Global Oil And Gas In Pounds Vs. Global Tech In Dollars Feature Many investors cling to the notion that the relative performance of equity markets hinges on the relative economic performance of their regions of domicile. This might have been true thirty or forty years ago when the companies that dominated the mainstream indexes had an outsize exposure to the local economy. But those days are long gone. Today, the leading companies in the mainstream equity indexes are multinationals, whose sales and profits depend on the fortunes of the global economy rather than on the local economy. Equity Market Allocation Is All About Sectors And Currencies Let's face it, BP is not really a U.K. company, it is a global company which happens to be headquartered and listed in the U.K. Likewise, Apple is not really a U.S. company, it is a global company headquartered and listed in the U.S. And so on for the vast majority of mainstream index constituents. However, BP is most certainly an oil and gas company which moves in lockstep with the global energy sector; and Apple is most certainly a technology company which moves with the global tech sector. Hence, by far the most important performance differentiator for any mainstream equity index is the sector fingerprint that distinguishes the equity index from its peers. The sector fingerprints for the four major equity markets are: overweight oil and gas for the FTSE100, overweight banks for the Eurostoxx50, overweight industrials for the Nikkei225, and overweight technology for the S&P500 (Table I-1). Table I-1The Sector Fingerprints Of The Four Major Equity Markets To complete the story, there is another matter to consider: the currency. A multinational oil company like BP receives its revenues and incurs its costs in multiple major currencies, such as euros and dollars. In this sense, there is a mismatch between BP's global business, denominated in multiple currencies, and the BP stock price, denominated in just one currency: the pound. The upshot is that if the pound strengthens, and all else is equal, the company's multi-currency profits will translate into fewer pounds and drag down the stock price. Conversely, if the pound weakens, the multi-currency profits will translate into more pounds and boost the BP stock price. Therefore, the channel through which the domestic economy can impact its stock market is the currency channel, but in a counterintuitive way: a strong economy tends to lift the currency and hinder the local stock market; a weak economy tends to depress the currency and help the local stock market. Combining the sector and currency drivers of equity market selection, we can summarize: FTSE100 = Overweight global Oil and Gas in pounds. Eurostoxx50 = Overweight global Banks in euros. Nikkei225 = Overweight global Industrials in yen. S&P500 = Overweight global Technology in dollars. The Proof Charts I-1 - I-6 show all six permutations of relative performances taken from the S&P500, Eurostoxx50, Nikkei225 and FTSE100 over the last decade. These charts should leave you in no doubt that the sector plus currency effect is all that you need to get right to allocate between these four major indexes. Chart I-2FTSE100 Vs. Nikkei225 = Global Oil And Gas In Pounds ##br##Vs. Global Industrials In Yen Chart I-3FTSE100 Vs. Eurostoxx50 = Global Oil And Gas In Pounds ##br##Vs. Global Banks In Euros Chart I-4Eurostoxx50 Vs. S&P500 = Global Banks In Euros ##br##Vs. Global Tech In Dollars Chart I-5Eurostoxx50 Vs. Nikkei225 = Global Banks In Euros ##br##Vs. Global Industrials In Yen Chart I-6S&P500 Vs. Nikkei225 = Global Tech In Dollars ##br##Vs. Global Industrials In Yen More recently also, the ranking of the four equity markets has tracked the ranking of the four 'fingerprint' sectors denominated in the respective currency. For example, at the end of May when oil and gas was briefly the top performing global sector this year, the FTSE100 was briefly the top performing major index. But both oil and gas and the FTSE100 have subsequently lost their leadership (Chart I-7 and Chart I-8). Chart I-7The Ranking Of The Four Major Sectors... Chart I-8... Explains The Ranking Of The Four Major Equity Markets One important implication of sectors and currencies driving stock market allocation is that the head-to-head comparison of stock market valuations is a meaningless exercise. Two sectors with vastly different structural growth prospects - say, oil and gas and technology - must necessarily trade on vastly different valuations. So the sector with the lower valuation is not necessarily the better-valued sector. By extension, the stock market with the lower valuation because of its sector fingerprint is not necessarily the better-valued stock market. Likewise, if investors anticipate the pound to ultimately strengthen - because they see that the pound is structurally cheap today - they might downgrade BP's multi-currency profit growth expectations in pound terms and trade the stock at an apparent discount. But allowing for the anticipated decline in other currencies versus the pound there is no discount. It follows that any multinational listed in Europe will give a false impression of cheapness if investors see European currencies as structurally undervalued. Another implication is that simple 'value' indexes may not actually offer value! In reality, they comprise a collection of sectors on the lowest head-to-head valuations which, to repeat, does not necessarily make them better-valued. Some people suggest comparing a valuation with its own history, and assessing how many 'standard deviations' it is above or below its norm. The problem is that the whole concept of standard deviation assumes 'stationarity' - meaning, no step changes in a sector's valuation through time. Unfortunately, sector valuations are 'non-stationary': they undergo major step changes when they enter a vastly different economic climate. For example, the structural outlook for bank profits undergoes a step change when a credit boom ends. Therefore, comparing a bank valuation after a credit boom with the valuation during the credit boom is like comparing an apple with an orange. The Eight Components Of Equity Market Allocation So how to allocate right now? First, break down the allocation decision into its eight components comprising the four sectors: oil and gas, banks, industrials and technology, plus the four currencies: pound, euro, yen and dollar. Then focus on where you have the highest conviction views among these eight components. Through the summer, we have more conviction on the four sectors than on the four currencies. Classically growth-sensitive sectors are closely tracking the downswing in the global 6-month credit impulse which started early this year. Such mini-downswings consistently last around eight months which suggests that our successful underweight stance to the classical cyclicals remains appropriate through the summer (Chart I-9). Of the four sectors, this implies a relative preference for technology, which is the least sensitive to a global mini-downswing. But how to rank the remaining three cyclical sectors - banks, industrials and oil and gas? Since April there has been a very unusual directional divergence between the oil and gas sector which has rallied while banks and industrials have sold off (Chart I-10). Chart I-9The Underperformance Of Cyclicals ##br##Is Closely Tracking The Global 6-Month Credit Impulse Chart I-10Oil And Gas Has Diverged From Banks And Industrials The proximate cause is that oil's supply dynamics, rather than demand dynamics, are dominating its price action. Ultimately though, a higher price based on supply constraints without stronger demand is precarious - because the higher price threatens demand destruction. On the other hand, if global economic demand does reaccelerate, it is the beaten-down industrials and bank equity prices that have the catch-up potential. On this basis, our preferred ranking of the four sectors through the summer is: Technology Banks and Industrials (tied) Oil and Gas Which necessarily means that our ranking of the major equity markets is: S&P500 Eurostoxx50 and Nikkei225 (tied) FTSE100 A final point: you might have slightly (or very) different views on the four sectors and the four currencies. That's fine. But whatever those views are, plug them into the sector and currency based approach described in this report, as this is the right - and most successful - way to allocate among the major equity markets. Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com Fractal Trading Model* There are no new trades this week, but we have six open positions. 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-11 Fractal Trading Model Recommendations Equities Bond & Interest Rates Currency & Other Positions Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Interest Rate
Underweight The S&P airlines index got a rare respite last week when United Airlines reported strong results and, perhaps more importantly, scaled back capacity growth plans. Regarding the latter, recall that earlier this year the company had announced a significant expansion, triggering fears of a return to the bad old days of industry overindulgence and a fare war. With respect to the earnings themselves, ticket prices appear to be more resilient than we had feared and are mostly offsetting fuel price increases; airfare's declining share of the consumer's wallet looks to have bottomed (second panel). Further, higher prices are not impacting the operating efficiency gains of the past five years as load factors are still near peak levels (third panel). The upshot is that margins may soon arrest their descent (bottom panel); we reiterate our underweight recommendation with an upgrade alert. The ticker symbols for the stocks in this index are: BLBG: S5AIRL - DAL, LUV, AAL, UAL, ALK.
Highlights Our forecast of higher geopolitical risk in 2018 is coming to fruition; President Trump's two key policies, economic populism (fiscal stimulus) and mercantilism (trade tariffs), will counteract each other; Stimulus is leading to trade deficits and a stronger dollar, while a stronger dollar encourages trade deficits. This is a problem for Trump in 2020; The administration will seek coordinated international currency moves, but the U.S. has less influence today than it did at the time of key 1971 and 1985 precedents; Favor DM over EM assets; favor U.S. over DM stocks; and expect Trump to threaten tariffs against currency manipulation. Feature "China, the European Union and others have been manipulating their currencies and interest rates lower, while the U.S. is raising rates while the dollars [sic] gets stronger and stronger with each passing day - taking away our big competitive edge. As usual, not a level playing field... The United States should not be penalized because we are doing so well. Tightening now hurts all that we have done. The U.S. should be allowed to recapture what was lost due to illegal currency manipulation and BAD Trade Deals. Debt coming due & we are raising rates - Really?" - President Donald Trump, tweet, July 20, 2018 "The dollar may be our currency, but it is your problem." - Treasury Secretary John Connally, 1971, speaking to a group of European officials Chart 1A Fiscal Boost Will Accelerate Inflation In April 2017, BCA's Geopolitical Strategy concluded that "Political Risks Are Overstated In 2017," but also "Understated In 2018."1 At the heart of our forecast was the interplay between three factors: "Domestic Policy Is Bullish USD:" We argued in early 2017 that the political "path of least resistance" would lead to "tax cuts in 2017" and that President Trump's economic policies "will involve greater budget deficits than the current budget law augurs." The conclusion was that "even a modest boost to government spending will motivate the Fed to accelerate its tightening cycle at a time when the output gap is nearly closed and unemployment is plumbing decade lows" (Chart 1). "Chinese Growth Scare Is Bullish USD:" We also correctly predicted that "Chinese data is likely to decelerate and induce a growth scare." Even though Chinese data was peachy in early 2017, we pointed out that "Chinese policymakers have gone forward with property market curbs and begun to tighten liquidity marginally in the interbank system." We would go on to produce several in-depth research reports throughout the year that outlined these reform efforts and linked them to President Xi Jinping's reduced political constraints following the nineteenth National Party Congress in October.2 "European Political Risks Are Bullish USD:" Finally, we argued that a combination of political risks - e.g., the 2018 Italian election - and the slowdown in China would reverberate in Europe, forcing "the ECB to be a lot more dovish than the market expects." Our conclusion in April 2017 - quoted verbatim below - was that these three factors would combine to force President Trump to try to talk down the greenback: The combination of Trump's domestic policy agenda and these global macro-economic factors will drive the dollar up. At some point in 2018, we assume that USD strength will begin to irk Donald Trump and his cabinet, particularly as it prevents them from delivering on their promise of shrinking trade deficits. We suspect that President Trump will eventually reach for the "currency manipulation" playbook of the 1970s-80s. On July 20, President Trump put a big red bow on our forecast by doing precisely what we expected: talking down the USD by charging the rest of the world with currency manipulation. Speaking with CNBC, Trump pointed out that "in China, their currency is dropping like a rock and our currency is going up, and I have to tell you it puts us at a disadvantage." President Trump is correct: Beijing is definitely manipulating the currency, as we pointed out last week (Chart 2).3 Chart 2The CNY Is Much Weaker Than The DXY Implies Chart 3U.S. Outperformance Should Be Bullish USD But President Trump wants to have his cake and eat it too. His economic stimulus is inevitably leading to a widening trade deficit. With tax cuts and increased capital spending, U.S. demand is growing faster than demand in the rest of the world. This economic outperformance in the context of stalling global growth is leading to the greenback rally that we forecast (Chart 3). When the U.S. economy outperforms the rest of the world, the Fed tends to be in the lead of tightening policy among G10 economies, spurring a rally in the trade-weighted dollar index (Chart 4).4 A rising currency then reinforces the trade deficit. Chart 42018 Rally Is Not Over There is much uncertainty regarding President Trump's true preferences, but we know two things: he is an economic populist and a mercantilist. He has been clear on both fronts throughout his campaign. The problem for President Trump is that the two policies are working against one another. His stimulus has spurred a USD rally that will likely offset the impact of his tariffs, particularly the more modest 10% variety he has said he will impose on all Chinese imports (Chart 5). Chart 5Trump Threatens Tariffs On All ##br##Chinese Imports (And Then Some) The Trump administration is therefore facing a choice: triple-down on tariffs, potentially causing a market and economic calamity in the process; or, use protectionism as a bargaining chip in a bout of orchestrated and negotiated, global, currency manipulation. As we pointed out last April, President Trump would not be the first to face this choice: 1971 Smithsonian Agreement President Richard Nixon famously closed the gold window on August 15, 1971 in what came to be known as the "Nixon shock."5 Less understood, but also part of the "shock," was a 10% surcharge on all imported goods, the purpose of which was to force U.S. trade partners to appreciate their currencies against the USD. Much like Trump, Nixon had campaigned on a mercantilist platform in 1968, promising southern voters that he would limit imports of Japanese textiles. As president, he staffed his cabinet with trade hawks, including Treasury Secretary John Connally who was in favor of threatening reduced U.S. military presence in Europe and Japan to force Berlin and Tokyo to the negotiating table. Connally also gave us the colorful quote for the title of this report and also famously quipped that "foreigners are out to screw us, our job is to screw them first." The economists in the Nixon cabinet - including Paul Volcker, then the Undersecretary of the Treasury under Connally - opposed the surcharge, fearing retaliation from trade partners, but policymakers like Connally favored brinkmanship. The U.S. ultimately got other currencies to appreciate, mostly the deutschmark and yen, but not by as much as it wanted. Critics in the administration - particularly the powerful National Security Advisor Henry Kissinger - feared that brinkmanship would hurt Trans-Atlantic relations and thus impede Cold War coordination. As such, the U.S. removed the surcharge merely four months later without meeting most of its objectives, including increasing allied defense-spending and reducing trade barriers to U.S. exports. Even the currency effects dissipated within two years. 1985 Plaza Accord The U.S. reached for the mercantilist playbook once again in the early 1980s as the USD rallied on the back of Volcker's dramatic interest rate hikes. The subsequent dollar bull market hurt U.S. exports and widened the current account deficit (Chart 6). U.S. negotiators benefited from the 1971 Nixon surcharge because European and Japanese policymakers knew that the U.S. was serious about tariffs and had no problem with protectionism. The result was coordinated currency manipulation to drive down the dollar and self-imposed export limits by Japan, both of which had an almost instantaneous effect on the Japanese share of American imports (Chart 7). Chart 6Dollar Bull Market And Current Account Balance In 1980s-90s Chart 7The U.S. Got What It Wanted From Plaza Accord The Smithsonian and Plaza examples are important for two reasons. First, they show that Trump's mercantilism is neither novel nor somehow "un-American." It especially is not anti-Republican, with both Nixon and Reagan having used overt protectionism and currency manipulation in recent history. Second, the experience of both negotiations in bringing about a shift in the U.S. trade imbalance will motivate the Trump administration to reach for the same "coordinated currency manipulation" playbook. In fact, Trump's Trade Representative, Robert Lighthizer, is a veteran of the 1985 agreement, having negotiated it for President Ronald Reagan. Should investors get ahead of the Plaza Accord 2.0 by shorting the greenback? The knee-jerk reactions of the market suggest that this is the thinking of the median investor. For instance, the DXY fell by 0.7% on the day of Trump's tweet. We disagree, however, and are sticking with our long DXY position, initiated on January 31, 2018, and up 6.17% since then.6 Why? Because 2018 is neither 1985 nor 1971. President Trump, and America more broadly, is facing several constraints today. As such, we do not expect that he will find eager partners in negotiating a coordinated currency manipulation. Chart 8Globalization Has Reached Its Apex Chart 9Global Protectionism Has Bottomed Economy: Europe and Japan were booming economies in the early 1970s and mid-1980s, and had the luxury of appreciating their currencies at the U.S.'s behest. Today, it is difficult to see how either Europe or China (now in Japan's place) can afford significant monetary policy tightening that would engineer structural bull markets in their currencies. For Europe, the risk is that the peripheral economies may not survive a back-up in yields. For China, if the PBOC engineered a persistently strong CNY/USD, it would tighten financial conditions and hurt the export sector. Apex of Globalization: U.S. policymakers were able to negotiate the 1971 and 1985 currency agreements in part because of the underlying promise of growing trade. Europe and Japan agreed to a tactical retreat to get a strategic victory: ongoing trade liberalization. In 2017-18, however, this promise has been muted. Global trade has peaked as a percent of GDP (Chart 8), average tariffs have bottomed (Chart 9), and the number of preferential trade agreements signed each year has collapsed (Chart 10). Temporary trade barriers have ticked up since 2008 (Chart 11). To be clear, these signs are not necessarily proof that globalization is reversing, but merely that it has reached its apex. Nonetheless, America's trade partners will be far less willing to agree to coordinated currency manipulation in an era where the global trade pie is no longer growing. Chart 10Low-Hanging Fruit Of Globalization Already Picked Chart 11Temporary Trade Barriers Ticking Up Multipolarity: The U.S. is simply not as powerful - relatively speaking - as it was at the height of the Cold War (Chart 12). As such, it is difficult to see how President Trump can successfully bully major economies into self-defeating currency manipulation. The Cold War gave the U.S. far greater leverage, particularly vis-à-vis Europe and Japan. Today, Trump's threats of pulling out of NATO are merely spurring Europeans to integrate further as Russia is no longer the threat it once was. There are no Soviet tank divisions arrayed across the Fulda Gap in Eastern Germany. In fact, Russia is cutting defense spending and further integrating into the European economy with new pipeline infrastructure (which Trump has pointedly criticized). And China is overtly hostile to the U.S. and thus completely unlike Japan, which huddled under the American nuclear umbrella during the U.S.-Japan trade war. Chart 12The U.S. Has Less Weight To Throw Around Is the Trump administration ignoring these major differences? No. There may be a much simpler explanation for President Trump's dollar bearishness: domestic politics. We only see a probability of around 20% that the U.S. trade deficit will shrink during the course of Trump's first term in office. Most likely, the trade deficit will widen as domestic stimulus supercharges the U.S. economy relative to the rest of the world and the greenback rallies. Economic slowdown in China and EM will likely further expand the U.S. trade deficit as these economies cut interest rates and allow their exchange rates to drop. President Trump therefore has a problem. The only way the trade deficit will shrink by 2020 is if the U.S. enters a recession and domestic demand shrinks - but presidents do not survive re-election during recessions. If a recession does not develop, he will have to explain to voters in early 2020 why the trade deficit actually surged, despite all his tough rhetoric, tariffs, and trade negotiations. The charge of currency manipulation could therefore do the trick, blaming the rest of the world for the USD rally that was largely caused by U.S. stimulus. Bottom Line: We do not expect the Fed to respond to President Trump's rhetoric. The current Powell Fed is not the 1970s Burns Fed. As such, we would fade any upcoming weakness in the USD. We expect the dollar bull market to carry on in 2018 and to continue weighing on global risk assets, namely EM equities and currencies. Investors should remain overweight DM assets relative to EM in terms of broad global asset allocation, and overweight U.S. equities in particular relative to other DM equities. The major risk to our bullish USD view is not a compliant Fed but rather a China that "blinks." Beijing has begun some modest stimulus in the face of the economic slowdown produced by the Xi administration's aforementioned efforts to contain systemic financial risk. Over the next month, we will dive deep into Chinese politics to see if the trade conflict will prompt Xi to reverse his attempt to tighten policy and once again embrace a resurgence in credit growth. In the long term, however, we expect that the Trump administration will grow frustrated with the fact that its two main policies - economic populism at home and mercantilism abroad - will offset each other and that the U.S. trade imbalance will continue to grow apace. At that point, President Trump may decide to reach for two levers: staffing the Fed with über doves and/or ratcheting up tariffs to much higher levels. We expect the latter to be the more likely outcome than the former, and either would result in a serious blowback from the rest of the world that would unsettle markets. More importantly, it would be the death knell of globalization, stranding trillions of dollars of capex behind suddenly very relevant national borders. Marko Papic, Senior Vice President Chief Geopolitical Strategist marko@bcaresearch.com 1 Please see BCA Geopolitical Strategy Weekly Report, "Political Risks Are Overstated In 2017," dated April 5, 2017, and "Political Risks Are Understated In 2018," dated April 12, 2017, available at gps.bcaresearch.com. 2 Please see BCA Geopolitical Strategy, "China Down, India Up," dated March 15, 2017, "China: Looking Beyond The Party Congress," dated July 19, 2017, "China's Nineteenth Party Congress: A Primer," dated September 13, 2017, "China: Party Congress Ends... So What?" dated November 1, 2017, "A Long View Of China," dated December 28, 2017, available at gps.bcaresearch.com. 3 Please see BCA Geopolitical Strategy Weekly Report, "Whoever Said Anything About Bluffing?" dated July 18, 2018, available at gps.bcaresearch.com. 4 Please see BCA Foreign Exchange Strategy Weekly Report, "The S&P Doesn't Abhor A Strong Dollar," dated July 20, 2018, available at fes.bcaresearch.com. 5 Please see Douglas A. Irwin, "The Nixon shock after forty years: the import surcharge revisited," World Trade Review 12:01 (January 2013), pp. 29-56, available at www.nber.org; and Barry Eichengreen, "Before the Plaza: The Exchange Rate Stabilization Attempts of 1925, 1933, 1936, and 1971," Behl Working Paper Series 11 (2015). 6 Please see BCA Geopolitical Strategy Weekly Report, "America Is Roaring Back! (But Why Is King Dollar Whispering?)," dated January 31, 2018, available at gps.bcaresearch.com.
Special Report The Golden Rule: During the next 12 months, will the Federal Reserve move interest rates by more or less than what is currently priced into the market? In this report we demonstrate that an investor who can correctly answer that question will very likely make the right bond market call. We call this framework for market analysis the golden rule of bond investing. Exceptions: We identify a few periods when applying the golden rule correctly would not have led to the right market call. Such periods are rare, but they tend to occur when the market "fights the Fed". One such episode occurred as recently as 2017. Total Return Forecasts: We use the golden rule framework to generate total return forecasts for Treasury indexes of all different maturities and many different spread product indexes. It's easy to get lost in the sea of financial market news. Last week alone saw the suggestion of additional tariffs, weak housing data, strong consumer data, falling commodity prices and steep Chinese currency depreciation. It's not always obvious what's important for bond markets and what isn't. While there is no miracle solution to this problem, we propose one helpful question that investors should always ask themselves to help discern the signal from the noise. During the next 12 months, will the Federal Reserve move interest rates by more or less than what is currently priced into the market? If you are able to answer that question correctly you will make the correct bond market call most of the time, and any new piece of information should be judged on how it impacts your answer. In fact, the framework of viewing everything through the lens of answering the above question works so well that we call it the golden rule of bond investing. In this Special Report we illustrate the empirical success of the golden rule. We also draw on historical evidence to consider periods when the rule failed. Finally, we translate the golden rule into a method for forecasting total returns, and we generate total return forecasts for many different bond indexes, encompassing both Treasuries and spread product. Testing The Golden Rule's Performance Chart 1 on page 1 shows how well the golden rule has worked during the past 28 years. The top panel shows the 12-month fed funds rate surprise - the difference between the expected change in the fed funds rate that was priced into the market at the beginning of the 12-month investment horizon and the change in the fed funds rate that was ultimately delivered. A reading above zero indicates that the market expected a larger increase (or smaller decrease) than actually occurred, a reading below zero indicates that the market expected a smaller increase (or larger decrease) than actually occurred. The bottom panel shows 12-month excess returns from the Bloomberg Barclays Treasury Master Index relative to a position in cash. Chart 1The Golden Rule's Track Record If the golden rule works, then dovish fed funds rate surprises (positive values in Chart 1, shown shaded) will coincide with positive Treasury excess returns, and vice-versa. Chart 1 shows that this has indeed generally been the case. Digging a little deeper, we find a strong positive relationship between 12-month Treasury excess returns and the 12-month fed funds rate surprise (Chart 2) and a similarly strong relationship using Treasury index price return instead of the excess return versus cash (Chart 3). Dovish fed funds rate surprises coincide with positive 12-month Treasury excess returns 87% of the time for an average excess return of +3.9%. They also coincide with positive Treasury price returns 76% of the time for an average price return of +2.1%. Hawkish surprises coincide with negative 12-month Treasury excess returns 61% of the time for an average excess return of -0.3%. They also coincide with negative Treasury price returns 72% of the time for an average price return of -1.9% (Table 1). Chart 2Treasury Index Excess Return & ##br##Fed Funds Rate Surprises (1990 - Present) Chart 3Treasury Index Price Return & ##br##Fed Funds Rate Surprises (1990 - Present) Table 112-Month Treasury Index Returns And Fed Funds Rate Surprises (1990 - Present) Total Treasury returns also factor in coupon income, and are therefore often positive even when the price return is negative. Still, Table 1 shows that Treasury index total returns average +7.1% in periods with a dovish fed funds rate surprise and only +3.4% in periods with a hawkish surprise. Further, 65% of negative total return periods occurred when there was a hawkish fed funds rate surprise. Of course, the golden rule is no panacea. The results presented above are impressive, but they assume that investors are able to correctly predict whether the market is over- or under-pricing the Fed. Making that determination remains a tall order. The key insight to be gleaned from the golden rule is that if a piece of information does not alter your opinion about the future path of the fed funds rate relative to expectations, then it should probably be ignored. The golden rule is certainly not the "be all and end all", but it is a very useful first step. Learning From Failures While Table 1 shows that correctly determining the 12-month fed funds rate surprise allows us to make the correct bond market call most of the time, it also shows that it doesn't always work. To understand why the golden rule might fail, it is useful to think about why it works in the first place. To do this, let's first consider that any Treasury yield can be thought of as consisting of three components: Treasury Yield = Fed Funds Rate + Expectations For Future Change In The Fed Funds Rate + Term Premium Based on this formula, it is obvious that if rate expectations and the term premium are held constant, a higher fed funds rate translates directly into a higher Treasury yield, and vice-versa. This is one reason why the fed funds rate surprise correlates with Treasury returns. The second reason that the fed funds rate surprise correlates with Treasury returns is that the expectations component of the above formula also tracks the fed funds rate surprise. In other words, investors are more likely to revise their rate expectations higher when the Fed is already in the process of delivering hawkish surprises. They are also more likely to revise their rate expectations lower when the Fed is delivering dovish surprises. This dynamic is illustrated in Chart 4. The top panel shows the correlation between the 12-month fed funds rate surprise and changes in rate expectations as measured by our 12-month fed funds discounter. The two lines are mostly positively correlated, though they do occasionally diverge. The largest divergences appear near inflection points in monetary policy - e.g. when the Fed switches from hiking rates to cutting. Such inflection points are often prompted by economic recession. Chart 4When The Golden Rule Doesn't Work The bottom panel of Chart 4 shows the much tighter correlation between the 12-month fed funds rate surprise and the change in the average yield on the Treasury Master index. These two lines also occasionally diverge, but only during periods when rate expectations move strongly in the opposite direction of what is suggested by the rate hike surprise. Crucially, the abnormal change in rate expectations has to be so large that it more than offsets the impact from the change in the fed funds rate itself. Such periods are rare, though we did experience one as recently as last year. Chart 5The 2017 Example The 2017 Episode Treasury returns in 2017 provide a textbook example of one of the rare periods when the golden rule failed. The Treasury Master Index returned +1.5% in excess of cash, even though the Fed lifted rates 25 bps more than the market expected at the beginning of the year. The reason for the divergence is that even though the Fed was in the process of lifting rates by more than what the market anticipated, the market continued to doubt the Fed's resolve and revised its expectations lower. At the beginning of 2017 the market was priced for 51 bps of rate hikes for the year. Then, just as the Fed started to lift rates more quickly than that expectation would suggest, core inflation plunged (Chart 5). The market started to price-in that the Fed would react to falling inflation by turning more dovish, but as it revised its expectations lower the Fed continued to hike. The end result is that the impact of the downward revision to rate hike expectations more than offset the upward pressure on yields from Fed rate hikes, and the Treasury index outperformed cash for the year. Forecasting Total Returns One final application of the golden rule is that it can be used as a framework for generating total return forecasts for different bond indexes. To illustrate how this is achieved we will walk through how we calculate such a forecast for the Treasury Master Index. First, we note that the current reading from our 12-month fed funds discounter is 79 bps. This means that the market expects 79 bps of Fed rate hikes during the next 12 months. If we assume that the Fed will lift rates by 100 bps during the next 12 months, then we have a hawkish fed funds rate surprise of 21 bps. As an aside, Chart 6 shows that we have consistently witnessed hawkish fed funds rate surprises since mid-2017, and our 12-month discounter has increased, as is typically the case. But this also means that the bar for further hawkish rate surprises is now much higher. Chart 6Market Has Underestimated ##br##The Fed In Recent Years We already demonstrated the strong correlation between the 12-month fed funds rate surprise and the 12-month change in the average yield from the Treasury index (see Chart 4). This allows us to translate our assumed fed funds rate surprise into an expected change in the index yield. In this case, that expected change in yield is +19 bps. With an expected yield change in hand, it is relatively simple to calculate an expected total return using the index's yield, duration and convexity: Expected Total Return = Yield - (Duration*Expected Change In Yield) + 0.5*Convexity*E(ΔY2) E(ΔY2) = 1-year trailing estimate of yield volatility In our scenario where we assume the Fed lifts rates by 100 bps during the next 12 months, the above formula spits out an expected total return of +1.60% for the Treasury Master Index. Table 2 shows total return forecasts using this same method but with many different rate hike assumptions. For example, if we assume only 50 bps of Fed rate hikes during the next 12 months we get an expected Treasury Index total return of +3.37%. Table 2 also displays total return forecasts for different maturity buckets within the Treasury Master index. These forecasts are all generated using the same method, but we correlate the 12-month fed funds rate surprise with different Treasury yields in each case. One caveat here is that the correlation between the fed funds rate surprise and the change in Treasury yield declines as we move into longer maturities (Appendix A). This is because long-dated yields are less directly connected to near-term changes in the fed funds rate. As such, there is more uncertainty surrounding the total return forecasts for long maturity sectors. Table 2Treasury Index Total Return Forecasts Spread Product Total Return Forecasts With one additional assumption we can also apply our return forecasting method to different spread product indexes. That additional assumption is for the expected change in the average index spread. Using Table 3, you can simply pick a column based on the number of Fed rate hikes you expect during the next 12 months and pick a row based on whether you think spreads will remain flat, widen or tighten. Table 3Spread Product Total Return Forecasts For example, if the Fed lifts rates by 100 bps during the next 12 months and investment grade corporate bond spreads stay flat, we would expect investment grade corporate bond index total returns of +2.9%. For each sector, the spread widening scenario assumes that the average index spread widens to its highest level since the beginning of 2016 and the spread tightening scenario assumes the average index spread tightens to its lowest level since the beginning of 2016. All the spread scenarios are depicted graphically in Appendix B. For the High-Yield sector we make the additional adjustment of subtracting expected 12-month default losses from the average index yield. Ryan Swift, Vice President U.S. Bond Strategy rswift@bcaresearch.com Appendix A Chart 7Change In 1-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 8Change In 2-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 9Change In 3-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 10Change In 5-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 11Change In 7-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 12Change In 10-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 13Change In 30-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Appendix B Chart 14Corporate Bond Spread Scenarios Chart 15Government-Related Spread Scenarios Chart 16Structured Product Spread Scenarios
With a number of our sentiment indicators breaking out (all panels), we took the opportunity to refresh our cyclical indicators in this week's Cyclical Indicator Update. Some highlights are our S&P industrials and our S&P financials cyclical indicators which are pushing to new highs despite headwinds from a rising U.S. dollar and a flattening yield curve, respectively, underscoring our overweight recommendations for both sectors. On the negative front, our S&P real estate indicator has maintained its three-year slide and remains very near all-time lows; we reiterate our underweight recommendation in that sector. Please see this week's Cyclical Indicator Update for more details.