High-Yield

Highlights The Chinese economy slowed in May following two months of improvement, but the June PMI data suggests that the pace of decline is moderating. Still, the economy remains highly vulnerable in a full-tariff scenario. This weekend’s agreement to continue trade talks was a weaker result compared with what emerged from the G20 meeting in Argentina, and did not represent any real progress toward a final trade agreement that includes a substantial tariff rollback. Our 6-12 month investment outlook remains unchanged: Chinese stocks face potentially acute near-term risks, but are likely to outperform global stocks over the coming year as mounting economic weakness forces policymakers to overcome their reluctance to act and to ultimately stimulate as needed. Feature The Caixin PMI decline in June appears to have been preceded by the official PMI in May. No change in the latter in June is thus somewhat encouraging. Tables 1 and 2 on pages 2 and 3 highlight key developments in China’s economy and its financial markets over the past month. On the growth front, May’s activity data shows that the economy slowed following two months of improvement, which underscores that the budding, credit-driven recovery in China’s investment relevant economic activity remains in its infancy and is vulnerable to a further deterioration in external demand. The Caixin manufacturing PMI fell back below the 50 mark in June, but this appears to have simply confirmed the prior decline in the official PMI. June’s official PMI was flat on the month, which in combination with only a modest further decline in new export orders, implies that the May slowdown in activity noted above did not repeat itself in June (at least not in terms of magnitude) Table 1China Macro Data Summary Table 2China Financial Market Performance Summary Within financial markets, Chinese stocks actively outperformed the global benchmark over the past month as the latter rallied. The rally was in response to assurances from the PBoC about the capacity to ease further if needed, and the steadily rising odds over the course of the month that a new tariff ceasefire would be reached at the G20 meeting in Osaka. While this expectation was indeed validated, our view is that the agreement to continue talks was a weaker result compared with what emerged from the G20 meeting in Argentina, and did not represent any real progress toward a final trade agreement that includes a substantial tariff rollback. As such, our 6-12 month investment outlook remains unchanged: Chinese stocks face potentially acute near-term risks, but are likely to outperform global stocks over the coming year as mounting economic weakness forces policymakers to overcome their reluctance to act and to ultimately stimulate as needed. In reference to Tables 1 and 2, we provide below several detailed observations concerning developments in China’s macro and financial market data: Chart 1A Sharp Decline In Electricity Production China’s economy slowed in May according to the Bloomberg Li Keqiang index, after having picked up for two months in a row. While both electricity production and rail cargo volume fell in May, the former fell sharply, almost into negative territory (Chart 1). This underscores that the budding, credit-driven recovery in China’s investment relevant economic activity remains in its infancy, and that economic activity is set to deteriorate meaningfully in a full-tariff scenario. Our LKI leading indicator rose modestly in May, with all six components showing an improvement. Still, the uptrend in the indicator is slight, and is being held back by the money supply components, particularly the growth in M2. Much stronger money & credit growth will be required if Chinese economic activity relapses and no deal to end U.S. import tariffs has occurred, but policymakers are likely to be reactive rather than proactive in this regard. The picture painted by China’s housing data continues to be a story of weak housing demand arrayed against seemingly strong housing construction and stable growth in house prices. However, we noted in a May 9 joint Special Report with our Emerging Market Strategy service that the strength observed in floor space started over the past year reflected a funding strategy by cash-strapped real estate developers.1 Launching new projects aggressively last year – i.e., more property starts – allowed real estate developers to pre-sell property units in order to raise cash in a tight credit environment. On the demand side, the annual change in the PBOC’s pledged supplementary lending injection has strongly predicted floor space sold over the past four years; it remains deeply in negative territory and our measure declined in May for the 8th month in a row. Given that housing construction cannot sustainably decouple from housing demand, we expect floor space started to slow meaningfully over the coming several months absent a major pickup in housing sales. Chart 2The Flat Official PMI In June Is Somewhat Encouraging The Caixin manufacturing PMI fell back below the 50 mark in June, but this appears to have simply confirmed the prior decline in the official PMI (Chart 2). The official PMI was flat in June with only a modest further decline in new export orders, which implies that the May slowdown in activity noted above did not repeat itself in June, at least not in terms of magnitude. Chinese stocks have rallied 8-9% over the past month in U.S. dollar terms, outpacing the EM and global equity benchmarks. The rally initially followed comments from Governor Yi Gang that the PBoC had “tremendous” room to ease monetary policy if needed, and was sustained by expectations later in the month of a second tariff truce emerging from the G20 meeting in Osaka. For China-exposed investors, the issue is not whether Chinese policymakers have the capacity to support China’s economy, but rather the willingness to ease materially. From our perspective, the renewal of trade talks with the U.S. does not represent material progress towards the ultimate removal of tariffs. But the existence of talks is likely to give Chinese authorities a reason (for now) to avoid aggressively stimulating the economy, meaning that our 6-12 month investment outlook remains unchanged. Chart 3The BAT Stocks Will Outperform China If Chinese Stocks Outperform Global The significant outperformance of the investable consumer discretionary has been the most meaningful equity sector development over the past month. We have noted in past reports that changes last December to the global industry classification standard (GICS) mean that trends in investable consumer discretionary are now largely driven by Alibaba’s stock price, and Chart 3 highlights that the BAT stocks (Baidu, Alibaba, and Tencent) have indeed risen relative to the overall investable index. We noted in last month’s macro & market review that investors appeared to be wrongly conflating the risks facing Huawei (U.S. supply chain reliance) with those facing the BATs (the outlook for Chinese consumer spending), and the outperformance of the latter over the past month, as expectations mounted of another tariff truce emerging from the G20, would appear to validate this view. This implies that the outlook for the relative performance of the BATs versus the Chinese equity benchmark is likely to be the same as that of Chinese stocks versus the global benchmark: near-term risk, but likely to outperform over a 6-12 month time horizon. Chinese interbank rates fell over the past month, in response to an injection of liquidity by the PBoC following the collapse and takeover of Baoshang bank. The event marked the first takeover of a commercial bank in China since 1998, and has been described by authorities as an isolated event that was caused, in part, by the illegal use of bank funds. Market participants have clearly been concerned that Baoshang is not an isolated event; China’s 3-month interbank repo rate rose nearly 60bps from early-April to mid-June, and the PBoC’s response was intended to help prevent a significant tightening in credit conditions for China’s smaller lenders. While bad debt concerns have clearly impacted the interbank market over the past several weeks, there has been little impact on China’s onshore corporate bond market (Chart 4). Spreads on bonds rated AA+ did rise meaningfully in June, but have since nearly returned to late-May levels. We continue to recommend an overweight stance towards Chinese onshore corporate bonds, on the basis that market participants are pricing in a much higher default rate than we expect over the coming 6-12 months. The risk to Hong Kong is not the stability of the peg, but the impact of higher interest rates on an extremely leveraged economy. Chart 4The Onshore Corporate Bond Market Is Not Concerned By The Baoshang Takeover Chart 5HKD Strength Reflects More Than Just Falling U.S. Rate Expectations The Hong Kong dollar has strengthened significantly over the past month, with USD-HKD having retreated to the midpoint of its band. This has occurred in part because of declining U.S. interest rate expectations, but also because of a sharp rise in 3-month HIBOR versus the base rate (Chart 5). The strengthening in HIBOR seems linked to the anti-extradition bill protests, implying that HKD has strengthened due to anti-capital flight measures by the HKMA. We see no major risk to the currency peg at the moment, but discussed the negative implications of higher interest rates in Hong Kong on the region’s property market and share prices in last week’s joint report with our Emerging Market Strategy service.2   Jonathan LaBerge, CFA, Vice President Special Reports jonathanl@bcaresearch.com   Footnotes   1      Please see Emerging Markets Strategy and China Investment Strategy Special Report, “China’s Property Market: Making Sense Of Divergences”, dated May 9, 2019, available at cis.bcaresearch.com. 2      Please see Emerging Markets Strategy and China Investment Strategy Special Report, “Hong Kong’s Currency Peg: Truths And Misconceptions”, dated June 27, 2019, available at cis.bcaresearch.com. Cyclical Investment Stance Equity Sector Recommendations

Highlights We update our long-range forecasts of returns from a range of asset classes – equities, bonds, alternatives, and currencies – and make some refinements to the methodologies we used in our last report in November 2017. We add coverage of U.K., Australian, and Canadian assets, and include Emerging Markets debt, gold, and global Real Estate in our analysis for the first time. Generally, our forecasts are slightly higher than 18 months ago: we expect an annual return in nominal terms over the next 10-year years of 1.7% from global bonds, and 5.9% from global equities – up from 1.5% and 4.6% respectively in the last edition. Cheaper valuations in a number of equity markets, especially Japan, the euro zone, and Emerging Markets explain the higher return assumptions. Nonetheless, a balanced global portfolio is likely to return only 4.7% a year in the long run, compared to 6.3% over the past 20 years. That is lower than many investors are banking on. Feature Since we published our first attempt at projecting long-term returns for a range of asset classes in November 2017, clients have shown enormous interest in this work. They have also made numerous suggestions on how we could improve our methodologies and asked us to include additional asset classes. This Special Report updates the data, refines some of our assumptions, and adds coverage of U.K., Australian, and Canadian assets, as well as gold, global Real Estate, and global REITs. Our basic philosophy has not changed. Many of the methodologies are carried over from the November 2017 edition, and clients interested in more detailed explanations should also refer to that report.1 Our forecast time horizon is 10-15 years. We deliberately keep this vague, and avoid trying to forecast over a 3-7 year time horizon, as is common in many capital market assumptions reports. The reason is that we want to avoid predicting the timing and gravity of the next recession, but rather aim to forecast long-term trend growth irrespective of cycles. This type of analysis is, by nature, as much art as science. We start from the basis that historical returns, at least those from the past 10 or 20 years, are not very useful. Asset allocators should not use historical returns data in mean variance optimizers and other portfolio-construction models. For example, over the past 20 years global bonds have returned 5.3% a year. With many long-term government bonds currently yielding zero or less, it is mathematically almost impossible that returns will be this high over the coming decade or so. Our analysis points to a likely annual return from global bonds of only 1.7%. Our approach is based on building-blocks. There are some factors we know with a high degree of certainly: such as the return on U.S. 10-year Treasury yields over the next 10 years (to all intents and purposes, it is the current yield). Many fundamental drivers of return (credit spreads, the small-cap premium, the shape of the yield curve, profit margins, stock price multiples etc.) are either steady on average over the cycle, or mean revert. For less certain factors, such as economic growth, inflation, or equilibrium short-term interest rates, we can make sensible assumptions. Most of the analysis in this report is based on the 20-year history of these factors. We used 20 years because data is available for almost all the asset classes we cover for this length of time (there are some exceptions, for example corporate bond data for Australia and Emerging Markets go back only to 2004-5, and global REITs start only in 2008). The period from May 1999 to April 2019 is also reasonable since it covers two recessions and two expansions, and started at a point in the cycle that is arguably similar to where we are today. Some will argue that it includes the Technology bubble of 1999-2000, when stock valuations were high, and that we should use a longer period. But the lack of data for many assets classes before the 1990s (though admittedly not for equities) makes this problematic. Also, note that the historical returns data for the 20 years starting in May 1999 are quite low – 5.8% for U.S. equities, for example. This is because the starting-point was quite late in the cycle, as we probably also are now.   We make the following additions and refinements to our analysis: Add coverage of the U.K., Australia, and Canada for both fixed income and equities. Add coverage of Emerging Markets debt: U.S. dollar and local-currency sovereign bonds, and dollar-denominated corporate credit. Among alternative assets, add coverage of gold, global Direct Real Estate, and global REITs. Improve the methodology for many alt asset classes, shifting from reliance on historical returns to an approach based on building blocks – for example, current yield plus an estimation of future capital appreciation – similar to our analysis of other asset classes. In our discussion of currencies, add for easy reference of readers a table of assumed returns for all the main asset classes expressed in USD, EUR, JPY, GBP, AUD, and CAD (using our forecasts of long-run movements in these currencies). Added Sharpe ratios to our main table of assumptions. The summary of our results is shown in Table 1. The results are all average annual nominal total returns, in local currency terms (except for global indexes, which are in U.S. dollars). Table 1BCA Assumed Returns Unsurprisingly, given the long-term nature of this exercise, our return projections have in general not moved much compared to those in November 2017. Indeed, markets look rather similar today to 18 months ago: the U.S. 10-year Treasury yield was 2.4% at end-April (our data cut-off point), compared to 2.3%, and the trailing PE for U.S. stocks 21.0, compared to 21.6. If anything, the overall assumption for a balanced portfolio (of 50% equities, 30% bonds, and 20% equal-weighted alts) has risen slightly compared to the 2017 edition: to 4.7% from 4.1% for a global portfolio, and to 4.9% from 4.6% for a purely U.S. one. That is partly because we include specific forecasts for the U.K., Australia, and Canada, where returns are expected to be slightly higher than for the markets we limited our forecasts to previously, the U.S, euro zone, Japan, and Emerging Markets (EM). Equity returns are also forecast to be higher than 18 months ago, mainly because several markets now are cheaper: trailing PE for Japan has fallen to 13.1x from 17.6x, for the euro zone to 15.5x from 18.0x, and for Emerging Markets to 13.6x from 15.4x (and more sophisticated valuation measures show the same trend). The long-term picture for global growth remains poor, based on our analysis, but valuation at the starting-point, as we have often argued, is a powerful indicator of future returns. We include Sharpe ratios in Table 1 for the first time. We calculate them as expected return/expected volatility to allow for comparison between different asset classes, rather than as excess return over cash/volatility as is strictly correct, and as should be used in mean variance optimizers. Chart 1Volatility Is Easier To Forecast Than Returns For volatility assumptions, we mostly use the 20-year average volatility of each asset class. As discussed above, historical returns should not be used to forecast future returns. But volatility does not trend much over the long-term (Chart 1). We looked carefully at volatility trends for all the asset classes we cover, but did not find a strong example of a trend decline or rise in any. We do, however, adjust the historic volatility of the illiquid, appraisal-based alternative assets, such as Private Equity, Real Estate, and Farmland. The reported volatility is too low, for example 2.6% in the case of U.S. Direct Real Estate. Even using statistical techniques to desmooth the return produces a volatility of only around 7%. We choose, therefore, to be conservative, and use the historic volatility on REITs (21%) and apply this to Direct Real Estate too. For Private Equity (historic volatility 5.9%), we use the volatility on U.S. listed small-cap stocks (18.6%). Looking at the forecast Sharpe ratios, the risk-adjusted return on global bonds (0.55) is somewhat higher than that of global equities (0.33). Credit continues to look better than equities: Sharpe ratio of 0.70 for U.S. investment grade debt and 0.62 for high-yield bonds. Nonetheless, our overall conclusion is that future returns are still likely to be below those of the past decade or two, and below many investors’ expectations. Over the past 20 years a global balanced portfolio (defined as above) returned 6.3% and a similar U.S. portfolio 7.0%. We expect 4.7% and 4.9% respectively in future. Investors working on the assumption of a 7-8% nominal return – as is typical among U.S. pension funds, for example – need to become realistic. Below follow detailed descriptions of how we came up with our assumptions for each asset class (fixed income, equities, and alternatives), followed by our forecasts of long-term currency movements, and a brief discussion of correlations. 1. Fixed Income We carry over from the previous edition our building-block approach to estimating returns from fixed income. One element we know with a relatively high degree of certainty is the return over the next 10 years from 10-year government bonds in developed economies: one can safely assume that it will be the same as the current 10-year yield. It is not mathematical identical, of course, since this calculation does not take into account reinvestment of coupons, or default risk, but it is a fair assumption. We can make some reasonable assumptions for returns from cash, based on likely inflation and the real equilibrium cash rate in different countries. After this, our methodology is to assume that other historic relationships (corporate bond spreads, default and recovery rates, the shape of the yield curve etc.) hold over the long run and that, therefore, the current level reverts to its historic mean. The results of our analysis, and the assumptions we use, are shown in Table 2. Full details of the methodology follow below. Table 2Fixed Income Return Calculations Projected returns have not changed significantly from the 2017 edition of this report. In the U.S., for the current 10-year Treasury bond yield we used 2.4% (the three-month average to end-April), very similar to the 2.3% on which we based our analysis in 2017. In the euro zone and Japan, yields have fallen a little since then, with the 10-year German Bund now yielding roughly 0%, compared to 0.5% in 2017, and the Japanese Government Bond -0.1% compared to zero. Overall, we expect the Bloomberg Barclays Global Index to give an annual nominal return of 1.7% over the coming 10-15 years, slightly up from the assumption of 1.5% in the previous edition. This small rise is due to the slight increase in the U.S. long-term risk-free rate, and to the inclusion for the first time of specific estimates for returns in the U.K., Australia, and Canada. Fixed Income Methodologies Cash. We forecast the long-run rate on 3-month government bills by generating assumptions for inflation and the real equilibrium cash rate. For inflation, in most countries we use the 20-year average of CPI inflation, for example 2.2% in the U.S. and 1.7% in the euro zone. This suggests that both the Fed and the ECB will slightly miss their inflation targets on the downside over the coming decade (the Fed targets 2% PCE inflation, but the PCE measure is on average about 0.5% below CPI inflation). Of course, this assumes that the current inflation environment will continue. BCA’s view is that inflation risks are significantly higher than this, driven by structural factors such as demographics, populism, and the advent of ultra-unorthodox monetary policy.2 But we see this as an alternative scenario rather than one that we should use in our return assumptions for now. Japan’s inflation has averaged 0.1% over the past 20 years, but we used 1% on the grounds that the Bank of Japan (BoJ) should eventually see some success from its quantitative easing. For the equilibrium real rate we use the New York Fed’s calculation based on the Laubach-Williams model for the U.S., euro zone, U.K., and Canada. For Japan, we use the BoJ’s estimate, and for Australia (in the absence of an official forecast of the equilibrium rate) we take the average real cash rate over the past 20 years. Finally, we assume that the cash yield will move from its current level to the equilibrium over 10 years. Government Bonds. Using the 10-year bond yield as an anchor, we calculate the return for the government bond index by assuming that the spread between 7- and 10-year bonds, and between 3-month bills and 10-year bonds will average the same over the next 10 years as over the past 20. While the shape of the yield curve swings around significantly over the cycle, there is no sign that is has trended in either direction (Chart 2). The average maturity of government bonds included in the index varies between countries: we use the five-year historic average for each, for example, 5.8 years for the U.S., and 10.2 years for Japan. Spread Product. Like government bonds, spreads and default rates are highly cyclical, but fairly stable in the long run (Chart 3). We use the 20-year average of these to derive the returns for investment-grade bonds, high-yield (HY) bonds, government-related securities (e.g. bonds issued by state-owned entities, or provincial governments), and securitized bonds (e.g. asset-backed or mortgage-backed securities). For example, for U.S. high-yield we use the average spread of 550 basis points over Treasuries, default rate of 3.8%, and recovery rate of 45%. For many countries, default and recovery rates are not available and so we, for example, use the data from the U.S. (but local spreads) to calculate the return for high-yield bonds in the euro zone and the U.K. Inflation-Linked Bonds. We use the average yield over the past 10 years (not 20, since for many countries data does not go back that far and, moreover, TIPs and their equivalents have been widely used for only a relatively short period.) We calculate the return as the average real yield plus forecast inflation. Chart 2Yield Curves Chart 3Credit Spreads & Default Rates     Bloomberg Barclays Aggregate Bond Indexes. We use the weights of each category and country (from among those we forecast) to derive the likely return from the index. The composition of each country’s index varies widely: for example, in the euro zone (27% of the global bond index), government bonds comprise 66% of the index, but in the U.S. only 37%. Only the U.S. and Canada have significant weightings in corporate bonds: 29% and 50% respectively. This can influence the overall return for each country’s index. Table 3Emerging Market Debt Emerging Market Debt. We add coverage of EMD: sovereign bonds in both local currency and U.S. dollars, and USD-denominated EM corporate debt. Again, we take the 20-year average spread over 10-year U.S. Treasuries for each category. A detailed history of default and recovery is not available, so for EM corporate debt we assume similar rates to those for U.S. HY bonds. For sovereign bonds, we make a simple assumption of 0.5% of losses per year – although in practice this is likely to be very lumpy, with few defaults for years, followed by a rush during an EM crisis. For EM local currency debt, we assume that EM currencies will depreciate on average each year in line with the difference between U.S. inflation and EM inflation (using the IMF forecast for both – please see the Currency section below for further discussion on this). After these calculations, we conclude that EM USD sovereign bonds will produce an annual return of 4.7%, and EM USD corporate bonds 4.5% – in both cases a little below the 5.6% return assumption we have for U.S. high-yield debt (Table 3).   2. Equities Our equity methodologies are largely unchanged from the previous edition. We continue to use the return forecast from six different methodologies to produce an average assumed return. Table 4 shows the results and a summary of the calculation for each methodology. The explanation for the six methodologies follows below. Table 4Equity Return Calculations The results suggest slightly higher returns than our projections in 2017. We forecast global equities to produce a nominal annual total return in USD of 5.9%, compared to 4.6% previously. The difference is partly due to the inclusion for the first time of specific forecasts for the U.K., Australia and Canada, which are projected to see 8.0%, 7.4% and 6.0% returns respectively. The projection for the U.S. is fairly similar to 2017, rising slightly to 5.6% from 5.0% (mainly due to a slightly higher assumption for productivity growth in future, which boosts the nominal GDP growth assumption). Japan, however, does come out looking significantly more attractive than previously, with an assumed return of 6.2%, compared to 3.5% previously. This is mostly due to cheaper valuations, since the growth outlook has not improved meaningfully. Japan now trades on a trailing PE of 13.1x, compared to 17.6x in 2017. This helps improve the return indicated by a number of the methodologies, including earnings yield and Shiller PE. The forecast for euro zone equities remains stable at 4.7%. EM assumptions range more widely, depending on the methodology used, than do those for DM. On valuation-based measures (Shiller PE, earnings yield etc.), EM generally shows strong return assumptions. However, on a growth-based model it looks less attractive. We continue to use two different assumptions for GDP growth in EM. Growth Model (1) is based on structural reform taking place in Emerging Markets, which would allow productivity growth to rebound from its current level of 3.2% to the 20-year average of 4.1%; Growth Model (2) assumes no reform and that productivity growth will continue to decline, converging with the DM average, 1.1%, over the next 10 years. In both cases, the return assumption is dragged down by net issuance, which we assume will continue at the 10-year average of 4.9% a year. Our composite projection for EM equity returns (in local currencies) comes out at 6.6%, a touch higher than 6.0% in 2017. Equity Methodologies Equity Risk Premium (ERP). This is the simplest methodology, based on the concept that equities in the long run outperform the long-term risk-free rate (we use the 10-year U.S. Treasury yield) by a margin that is fairly stable over time. We continue to use 3.5% as the ERP for the U.S., based on analysis by Dimson, Marsh and Staunton of the average ERP for developed markets since 1900. We have, however, tweaked the methodology this time to take into account the differing volatility of equity markets, which should translate into higher returns over time. Thus we use a beta of 1.2 for the euro zone, 0.8 for Japan, 0.9 for the U.K., 1.1 for both Australia and Canada, and 1.3 for Emerging Markets. The long-term picture for global growth remains poor, but valuation at the starting-point, as we have often argued, is a powerful indicator of future returns. Growth Model. This is based on a Gordon growth model framework that postulates that equity returns are a function of dividend yield at the starting point, plus the growth of earnings in future (we assume that the dividend payout ratio stays constant). We base earnings growth off assumptions of nominal GDP growth (see Box 1 for how we calculate these). But historically there is strong evidence that large listed company earnings underperform nominal GDP growth by around 1 percentage point a year (largely because small, unlisted companies tend to show stronger growth than the mature companies that dominate the index) and so we deduct this 1% to reach the earnings growth forecast. We also need to adjust dividend yield for share buybacks which in the U.S., for tax reasons, have added 0.5% to shareholder returns over the past 10 years (net of new share issuance). In other countries, however, equity issuance is significantly larger than buybacks; this directly impacts shareholders’ returns via dilution. For developed markets, the impact of net equity issuance deducts 0.7%-2.7% from shareholder returns annually. But the impact is much bigger in Emerging Markets, where dilution has reduced returns by an average of 4.9% over the past 10 years. Table 5 shows that China is by far the biggest culprit, especially Chinese banks. Table 5Dilution In Emerging Markets BOX 1 Estimating GDP Growth We estimate nominal GDP growth for the countries and regions in our analysis as the sum of: annual growth in the working-age population, productivity growth, and inflation (we assume that capital deepening remains stable over the period). Results are shown in Table 6. Table 6Calculations Of Trend GDP Growth For population growth, we use the United Nations’ median scenario for annual growth in the population aged 25-64 between 2015 and 2030. This shows that the euro zone and Japan will see significant declines in the working population. The U.S. and U.K. look slightly better, with the working population projected to grow by 0.3% and 0.1% respectively. There are some uncertainties in these estimates. Stricter immigration policies would reduce the growth. Conversely, greater female participation, a later retirement age, longer working hours, or a rise in the participation rate would increase it. For emerging markets we used the UN estimate for “less developed regions, excluding least developed countries”. These countries have, on average, better demographics. However, the average number hides the decline in the working-age population in a number of important EM countries, for example China (where the working-age population is set to shrink by 0.2% a year), Korea (-0.4%), and Russia (-1.1%). By contrast, working population will grow by 1.7% a year in Mexico and 1.6% in India. For productivity growth, we assume – perhaps somewhat optimistically – that the decline in productivity since the Global Financial Crisis will reverse and that each country will return to the average annual productivity growth of the past 20 years (Chart 4). Our argument is that the cyclical factors that depressed productivity since the GFC (for example, companies’ reluctance to spend on capex, and shareholders’ preference for companies to pay out profits rather than to invest) should eventually fade, and that structural and technical factors (tight labor markets, increasing automation, technological breakthroughs in fields such as artificial intelligence, big data, and robotics) should boost productivity. Based on this assumption, U.S. productivity growth would average 2.0% over the next 10-15 years, compared to 0.5% since 1999. Note that this is a little higher than the Congressional Budgetary Office’s assumption for labor productivity growth of 1.8% a year. Chart 4AProductivity Growth (I) Chart 4BProductivity Growth (II) Our assumptions for inflation are as described above in the section on Fixed Income. The overall results suggest that Japan will see the lowest nominal GDP growth, at 0.9% a year, with the U.S. growing at 4.4%. The U.K. and Australia come out only a little lower than the U.S. For emerging markets, as described in the main text, we use two scenarios: one where productivity grow continues to slow in the absence of reforms, especially in China, from the current 3.2% to converge with the average in DM (1.1%) over the next 10-15 years; and an alternative scenario where reforms boost productivity back to the 20-year average of 4.1%.   Growth Plus Reversion To Mean For Margins And Profits. There is logic in arguing that profit margins and multiples tend to revert to the mean over the long term. If margins are particularly high currently, profit growth will be significantly lower than the above methodology would suggest; multiple contraction would also lower returns. Here we add to the Growth Model above an assumption that net profit margin and trailing PE will steadily revert to the 20-year average for each country over the 10-15 years. For most countries, margins are quite high currently compared to history: 9.2% in the U.S., for example, compared to a 20-year average of 7.7%. Multiples, however, are not especially high. Even in the U.S. the trailing PE of 21.0x, compares to a 20-year average of 20.8x (although that admittedly is skewed by the ultra-high valuations in 1999-2000, and coming out of the 2007-9 recession – we would get a rather lower number if we used the 40-year average). Indeed, in all the other countries and regions, the PE is currently lower than the 20-year average. Note that for Japan, we assumed that the PE would revert to the 20-year average of the U.S. and the euro zone (19.2), rather than that of Japan itself (distorted by long periods of negative earnings, and periods of PE above 50x in the 1990s and 2000s).  Earnings Yield. This is intuitively a neat way of thinking about future returns. Investors are rewarded for owning equity, either by the company paying a dividend, or by reinvesting its earnings and paying a dividend in future. If one assumes that future return on capital will be similar to ROC today (admittedly a rash assumption in the case of fast-growing companies which might be tempted to invest too aggressively in the belief that they can continue to generate rapid growth) it should be immaterial to the investor which the company chooses. Historically, there has been a strong correlation between the earnings yield (the inverse of the trailing PE) and subsequent equity returns, although in the past two decades the return has been somewhat higher that the EY suggested, and so in future might be somewhat lower. This methodology produces an assumed return for U.S. equities of 4.8% a year. Shiller PE. BCA’s longstanding view is that valuation is not a good timing tool for equity investment, but that it is crucial to forecasting long-term returns. Chart 5 shows that there is a good correlation in most markets between the Shiller PE (current share price divided by 10-year average inflation-adjusted earnings) and subsequent 10-year equity returns. We use a regression of these two series to derive the assumptions. This points to returns ranging from 5.4% in the case of the U.S. to 12.5% for the U.K. Composite Valuation Indicator. There are some issues that make the Shiller PE problematical. It uses a fixed 10-year period, whereas cycles vary in length. It tends to make countries look cheap when they have experienced a trend decline in earnings (which may continue, and not mean revert) and vice versa. So we also use a proprietary valuation indicator comprising a range of standard parameters (including price/book, price/cash, market cap/GDP, Tobin’s Q etc.), and regress this against 10-year returns. The results are generally similar to those using the Shiller PE, except that Japan shows significantly higher assumed returns, and the U.K. and EM significantly lower ones (Chart 6). Chart 5Shiller PE Vs. 10-Year Return Chart 6Composite Valuation Vs. 10-Year Return     3. Alternative Investments We continue to forecast each illiquid alternative investment separately, but we have made a number of changes to our methodologies. Mostly these involve moving away from using historical returns as a basis for our forecasts, and shifting to an approach based on current yield plus projected future capital appreciation. In direct real estate, for example, in 2017 we relied on a regression of historical returns against U.S. nominal GDP growth. We move in this edition to an approach based on the current cap rate, plus capital appreciation (based on forecasts of nominal GDP growth), and taking into account maintenance costs (details below). We also add coverage of some additional asset classes: global ex-U.S. direct real estate, global ex-U.S. REITs, and gold. Table 7 summarizes our assumptions, and provides details of historic returns and volatility. Table 7Alternatives Return Calculations It is worth emphasizing here that manager selection is far more important for many alternative investment classes than it is for public securities (Chart 7). There is likely to be, therefore, much greater dispersion of returns around our assumptions than would be the case for, say, large-cap U.S. equities. Chart 7For Alts, Manager Selection Is Key Hedge Funds Chart 8Hedge Fund Return Over Cash Hedge fund returns have trended down over time (Chart 8). Long gone is the period when hedge funds returned over 20% per year (as they did in the early 1990s). Over the past 10 years, the Composite Hedge Fund Index has returned annually 3.3% more than 3-month U.S. Treasury bills. But that was entirely during an economic expansion and so we think it is prudent to cut last edition’s assumption of future returns of cash-plus-3.5%, to cash-plus-3% going forward. Direct Real Estate Our new methodology for real estate breaks down the return, in a similar way to equities, into the current cash yield (cap rate) plus an assumption of future capital growth. For the cap rate, we use the average, weighted by transaction volumes, of the cap rates for apartments, office buildings, retail, industrial real estate, and hotels in major cities (for example, Chicago, Los Angeles, Manhattan, and San Francisco for the U.S., or Osaka and Tokyo for Japan). We assume that capital values grow in line with each’s country’s nominal GDP growth (using the IMF’s five-year forecasts for this). We deduct a 0.5% annual charge for maintenance, in line with industry practice. Results are shown in Table 8. Our assumptions point to better returns from real estate in the U.S. than in the rest of the world. Not only is the cap rate in the U.S. higher, but nominal GDP growth is projected to be higher too. Table 8Direct Real Estate Return Calculations REITs We switch to a similar approach for REITs. Previously we used a regression of REITs against U.S. equity returns (since REITs tend to be more closely correlated with equities than with direct real estate). This produced a rather high assumption for U.S. REITs of 10.1%. We now use the current dividend yield on REITs plus an assumption that capital values will grow in line with nominal GDP growth forecasts. REITs’ dividend yields range fairly narrowly from 2.9% in Japan to 4.7% in Canada. We do not exclude maintenance costs since these should already be subtracted from dividends. The result of using this methodology is that the assumed return for U.S. REITs falls to a more plausible 8.5%, and for global REITs is 6.2%. Private Equity & Venture Capital Chart 9Private Equity Premium Has Shrunk Around It makes sense that Private Equity returns are correlated with returns from listed equities. Most academic studies have shown a premium over time for PE of 5-6 percentage points (due to leverage, a tilt towards small-cap stocks, management intervention, and other factors). However, this premium has swung around dramatically over time (Chart 9). Over the past 10 years, for example, annual returns from Private Equity and listed U.S. equities have been identical: 12%. However, there appears to be no constant downtrend and so we think it advisable to use the 30-year average premium: 3.4%. This produces a return assumption for U.S. Private Equity of 8.9% per year. Over the same period, Venture Capital has returned around 0.5% more than PE (albeit with much higher volatility) and we assume the same will happen going forward.   Structured Products In the context of alternative asset classes, Structured Products refers to mortgage-backed and other asset-backed securities. We use the projected return on U.S. Treasuries plus the average 20-year spread of 60 basis points. Assumed return is 2.7%. Farmland & Timberland Chart 10Farm Prices Grow More Slowly Than GDP As with Real Estate and REITs, we move to a methodology using current cash yield (after costs) plus an assumption for capital appreciation linked to nominal GDP forecasts. The yield on U.S. Farmland is currently 4.4% and on Timberland 3.2%. Both have seen long-run prices grow significantly more slowly than nominal GDP growth. Since 1980, for example, farm prices have risen at a compound rate of 3.9% per acre, compared to U.S. nominal GDP growth of 5.2% and global GDP growth of 5.5% (Chart 10). We assume that this trend will continue, and so project farm prices to grow 1.5 percentage points a year more slowly than global GDP (using global, not U.S., economic growth makes sense since demand for food is driven by global factors). This produces a total return assumption of 6%. For timberland, we did not find a consistent relationship with nominal GDP growth and so assumed that prices would continue to grow at their historic rate over the past 20 years (the longest period for which data is available). We project timberland to produce an annual return of 4.8%. Commodities & Gold For commodities we use a very different methodology (which we also used in the previous edition): the concept that commodities prices consistently over time have gone through supercycles, lasting around 10 years, followed by bear markets that have lasted an average of 17 years (Chart 11). The most recent super-cycle was 2002-2012. In the period since the supercycle ended, the CRB Index has fallen by 42%. Comparing that to the average drop in the past three bear markets, we conclude that there is about 8% left to fall over the next nine years, implying an annual decline of about 1%. Our overall conclusion is that future returns are still likely to be below those of the past decade or two, and below many investors’ expectations. We add gold to our assumptions, since it is an asset often held by investors. However, it is not easy to project long-term returns for the metal. Since the U.S. dollar was depegged from gold in 1968, gold too has gone through supercycles, in the 1970s and 2002-11 (Chart 12). We find that change in real long-term interest rates negatively affects gold (logically since higher rates increase the opportunity cost of owning a non-income-generating asset). We use, therefore, a regression incorporating global nominal GDP growth and a projection of the annual change in real 10-year U.S. Treasury yields (based on the equilibrium cash rate plus the average spread between 10-year yields and cash). This produces an assumption of an annual return from gold of 4.7% a year. We continue to see this asset class more as a hedge in a portfolio (it has historically had a correlation of only 0.1 with global equities and 0.24 with global bonds) rather than a source of return per se.  Chart 11Commodities Still In A Bear Market Chart 12Gold Also Has Supercycles   4. Currencies Chart 13Currencies Tend To Revert To PPP All the return projections in this report are in local currency terms. That is a problem for investors who need an assumption for returns in their home currency. It is also close to impossible to hedge FX exposure over as long a period as 10-15 years. Even for investors capable of putting in place rolling currency hedges, GAA has shown previously that the optimal hedge ratio varies enormously depending on the home currency, and that dynamic hedges (i.e. using a simple currency forecasting model) produce better risk-adjust returns than a static hedge.3  Fortunately, there is an answer: it turns out that long-term currency forecasting is relatively easy due to the consistent tendency of currencies, in developed economies at least, to revert to Purchasing Power Parity (PPP) over the long-run, even though they can diverge from it for periods as long as five years or more (Chart 13). We calculate likely currency movements relative to the U.S. dollar based on: 1) the current divergence of the currency from PPP, using IMF estimates of the latter; 2) the likely change in PPP over the next 10 years, based on inflation differentials between the country and the U.S. going forward (using IMF estimates of average CPI inflation for 2019-2024 and assuming the same for the rest of the period). The results are shown in Table 9. All DM currencies, except the Australian dollar, look cheap relative to the U.S. dollar, and all of them, again excluding Australia, are forecast to run lower inflation that the U.S. implying that their PPPs will rise further. This means that both the euro and Japanese yen would be expected to appreciate by a little more than 1% a year against the U.S. dollar over the next 10 years or so. Table 9Currency Return Calculations PPP does not work, however, for EM currencies. They are all very cheap relative to PPP, but show no clear trend of moving towards it. The example of Japan in the 1970s and 1980s suggests that reversion to PPP happens only when an economy becomes fully developed (and is pressured by trading partners to allow its currency to appreciate). One could imagine that happening to China over the next 10-20 years, but the RMB is currently 48% undervalued relative to PPP, not so different from its undervaluation 15 years ago. For EM currencies, therefore, we use a different methodology: a regression of inflation relative to the U.S. against historic currency movements. This implies that EM currencies are driven by the relative inflation, but that they do not trend towards PPP. Based on IMF inflation forecasts, many Emerging Markets are expected to experience higher inflation than the U.S. (Table 10). On this basis, the Turkish lira would be expected to decline by 7% a year against the U.S. dollar and the Brazilian real by 2% a year. However, the average for EM, which we calculated based on weights in the MSCI EM equity index, is pulled down by China (29% of that index), Korea (15%) and Taiwan (12%). China’s inflation is forecast to be barely above that in the U.S, and Korean and Taiwanese inflation significantly below it. MSCI-weighted EM currencies, consequently, are forecast to move roughly in line with the USD over the forecast horizon. One warning, though: the IMF’s inflation forecasts in some Emerging Markets look rather optimistic compared to history: will Mexico, for example, see only 3.2% inflation in future, compared to an average of 5.7% over the past 20 years? Higher inflation than the IMF forecasts would translate into weaker currency performance. Table 10EM Currencies In Table 11, we have restated the main return assumptions from this report in USD, EUR, JPY, GBP, AUD, and CAD terms for the convenience of clients with different home currencies. As one would expect from covered interest-rate parity theory, the returns cluster more closely together when expressed in the individual currencies. For example, U.S. government bonds are expected to return only 0.8% a year in EUR terms (versus 2.1% in USD terms) bringing their return closer to that expected from euro zone government bonds, -0.4%. Convergence to PPP does not, however, explain all the difference between the yields in different countries. Table 11Returns In Different Base Currencies 5. Correlations Chart 14Correlations Are Hard To Forecast We have not tried to forecast correlations in this Special Report. As discussed, historical returns from different asset classes are not a reliable guide to future returns, but it is possible to come up with sensible assumptions about the likely long-run returns going forward. Volatility does not trend much over the long term, so we think it is not unreasonable to use historic volatility data in an optimizer. But correlation is a different matter. As is well known, the correlation of equities and bonds has moved from positive to negative over the past 40 years (mainly driven by a shift in the inflation environment). But the correlation between major equity markets has also swung around (Chart 14). Asset allocators should preferably use rough, conservative assumptions for correlations – for example, 0.1 or 0.2 for the equity/bond correlation, rather than the average -0.1 of the past 20 years. We plan to do further work to forecast correlations in a future edition of this report.  But for readers who would like to see – and perhaps use – historic correlation data, we publish below a simplified correlation matrix of the main asset classes that we cover in this report (Table 12). We would be happy to provide any client with the full spreadsheet of all asset classes . Table 12Correlation Matrix Garry Evans Chief Global Asset Allocation Strategist garry@bcaresearch.com Footnotes 1      Please see Global Asset Allocation Special Report, “What Returns Can You Expect?”, dated 15 November 2017, available at gaa.bcaresearch.com 2      Please see Global Asset Allocation Special Report, “Investors’ Guide To Inflation Hedging: How To Invest When Inflation Rises,” dated 22 May 2019, available at gaa.bcaresearch.com 3      Please see GAA Special Report, “Currency Hedging: Dynamic Or Static? A Practical Guide For Global Equity Investors,” dated 29 September 2017, available at gaa.bcaresearch.com  

Highlights The May official PMI shows that manufacturing in China will slow over the coming year unless the recent doubling of U.S. import tariffs can be reversed and the imposition of the remaining tariffs can be avoided. The divergence between H-shares and both A-shares and the domestic fixed-income market suggests that China’s domestic financial market participants are pricing in some probability of a major reflationary response by Chinese authorities. We agree that such a response will occur over the coming 6-12 months, and would recommend that investors stay overweight Chinese equities within a global equity portfolio over that time horizon. Feature Tables 1 and 2 on pages 2 and 3 highlight key developments in China’s economy and its financial markets over the past month. On the growth front, April’s activity data provided early evidence that the trajectory of the economy was beginning to turn prior to the breakdown in U.S./China trade talks, in response to a meaningful credit improvement in Q1. The May Caixin manufacturing PMI was stable, but the official PMI fell and the experience of last year clearly shows that manufacturing in China will slow over the coming year unless the recent doubling of U.S. import tariffs can be reversed and the imposition of the remaining tariffs can be avoided. Assuming that the Trump administration follows through with its threat, investors are likely to see a repeat of last year’s perversely positive effects of tariff frontrunning on the Chinese trade data over the next few months; this should be viewed as confirmation of an impending collapse in trade activity, rather than a sign that the underlying trade situation is improving. Table 1China Macro Data Summary Table 2China Financial Market Performance Summary Within financial markets, the most notable development is the contrast between the relative performance of investable Chinese stocks on the one hand, and domestic equities and the Chinese fixed-income market on the other. The recent performance of investable stocks confirms that they have been driven nearly exclusively by trade war developments for the better part of the past year, whereas the somewhat better relative performance of A-shares and the calm in the government bond, corporate bond, and sovereign CDS markets suggests that China’s domestic financial market participants are pricing in some probability of a major reflationary response by Chinese authorities. We agree that such a response will occur over the coming 6-12 months, and would recommend that investors stay overweight Chinese equities within a global equity portfolio over that time horizon. In reference to Tables 1 and 2, we provide below several detailed observations concerning developments in China’s macro and financial market data: Chart 1A Strong Response From Policymakers Will Likely Offset The Coming Tariff Shock Both Bloomberg’s and our alternative calculation of the Li Keqiang index (LKI) rose in April, albeit only fractionally in the case of the latter. Still, as we noted in last week’s report,1 the Q1 rebound in credit appears to have halted the decline in investment-relevant Chinese economic activity (Chart 1). This suggests that the trajectory of the economy was beginning to change in April prior to the breakdown in U.S./China trade talks, implying that an aggressively stimulative response from Chinese authorities to counter a full 25% tariff scenario has good odds of succeeding. This supports our cyclically overweight stance towards Chinese stocks. Our leading indicator for the LKI declined slightly in April, but remains in a very modest uptrend. The gap between accelerating credit growth and the sluggishness of our leading indicator is explained by the fact that growth in Chinese M2 and M3 has been slow to rise. A weaker-than-expected recovery in Chinese economic activity is much more likely if money growth remains weak, but we cannot reasonably envision an outcome where credit growth continues to trend higher and growth in the money supply does not meaningfully accelerate. The incoming Chinese housing data continues to provide conflicting signals. The annual change of the PBOC’s pledged supplementary lending injections declined further in April, which since 2015 has done an excellent job explaining weak housing demand. However, both floor space started and sold picked up in April (Chart 2), and house price growth remained steady despite a significant decline in the breadth of house price appreciation across 70 cities. Policymakers are likely to allow aggregate credit growth to accelerate significantly over the coming 6-12 months in order to counter the deflationary impact of a trade war with the U.S., but our sense is that policymakers will then refocus their financial stability efforts on the household sector (i.e. they will work to prevent another significant reacceleration in household debt growth). Given this, we continue to expect that housing demand will remain weak, although we will be closely watching floor space sold over the coming few months. The new export orders component of the official manufacturing PMI is signaling an external outlook that is as negative as the 2015/2016 episode. The May official manufacturing PMI fell back into contractionary territory, led by a very significant decline in the new export orders component (Chart 3). The Caixin manufacturing PMI was stable, but the outlook for manufacturing in China is clearly negative unless the recent doubling of U.S. import tariffs can be reversed and the imposition of the remaining tariffs can be avoided. Investors are likely to see a repeat of last year’s perversely positive effects of tariff frontrunning on the Chinese trade data over the next few months; this should be viewed as confirmation of an impending collapse in trade activity, rather than a sign that the underlying trade situation is improving. Chart 2Surprising Resilience In China's Housing Market (For Now) Chart 3A Clearly Negative Outlook For Manufacturing There has been a sharp contrast in the behavior of the Chinese investable and domestic equity markets over the past month, which in our view confirms that the former has been driven nearly exclusively by trade war developments for the better part of the past year. Chart 4 shows that the relative performance of investable stocks (versus global) has nearly fallen back to its late-October low, whereas A-shares technically remain in an uptrend despite having sold off. Some investors have attributed the relative support of A-shares to aggressive buying by the “national team”, state-related financial market participants that the government has relied on since 2015 to manage volatility in the domestic equity market. Chart 4Are A-Shares Acting More Rationally Than The Investable Market? However, it is also possible that the A-share market is acting more rationally than the investable market, by focusing on the possibility of a major reflationary response to the Trump tariffs. This contrast in behavior between the investable and domestic markets was also observed pre- and post-February 15th, when the January credit data was released. Prior to this point, the A-share market was (rightly) not confirming the relative uptrend in investable stocks; following February 15th, A-shares exploded higher in response to tangible evidence that a upcycle in credit had arrived. If it is true that the A-share market is better reflecting the prospect of a reflationary response from Chinese policymakers, the relative performance trend for domestic stocks supports our decision to remain cyclically overweight Chinese stocks versus the global benchmark.   Chinese utilities and consumer staples have outperformed in both the investable and domestic equity markets over the past month, which is not surprising given that these sectors typically outperform during risk-off phases. Within the investable market, the sharp underperformance of the BAT (Baidu, Alibaba, and Tencent) stocks has been the most interesting (Chart 5). To the extent that the selloff in BAT stocks reflects trade war retaliation risk (through, for example, delisting from U.S. exchanges), then the selloff is rational. But the fact that Tencent (which also trades in Hong Kong) has also declined so sharply suggests that investors are blanket selling Chinese technology-related stocks out of concern that the sector will be heavily implicated by punitive action from the Trump administration. The BAT stocks are domestically oriented, meaning that “Huawei risk” appears to be minimal. Chart 5A Potential (Future) Opportunity In The BAT Stocks Beyond the near-term risk from deteriorating sentiment, the selloff in BAT stocks may present a cyclical opportunity for investors. Unlike Huawei, whose export-oriented business model relied on the U.S. as part of its supply chain, Alibaba and Tencent are largely domestically-driven businesses whose earnings will depend mostly on the outlook for Chinese consumer spending. We agree that reflationary efforts by Chinese policymakers will attempt to avoid stoking a significant acceleration in residential mortgage credit, but it is difficult to envision a scenario in which China stimulates aggressively and consumer spending growth does not accelerate. As such, investors should closely watch the performance of BAT stocks in response to reflationary announcements and developments on the credit front; we would strongly consider an outright long stance favoring BAT stocks if a technical breakout occurs alongside the release of data that is consistent with a significant improvement in the macro outlook. There has been little movement in the Chinese government bond market over the past month, with the Chinese 10-year government bond yield having fallen merely 10 basis points since late-April. This is in contrast to what has occurred in the U.S., with yields on 10-year Treasurys having come in roughly three times as much over the past month (Chart 6). The relative calm in the Chinese government bond market is echoed by the relative 5-year CDS spread between China and Germany, a component of our BCA Market-Based China Growth Indicator. While the spread has certainly moved higher in response to the breakdown in trade talks and President Trump’s full imposition of tariffs on the second tranche of imports from China, it remains below its 2018 average and well below levels that prevailed in 2015 and 2016 (Chart 7). Similarly, Chinese onshore corporate bond spreads have not reacted negatively to the resumption in the trade war, with the spread on the aggregate ChinaBond Onshore Corporate Bond Index up one basis point over the past month. Taken together with the relative performance of A-shares as well as Charts 6 and 7 we see this as evidence that China’s financial market participants are pricing in some probability of a major reflationary response by Chinese authorities. Chart 6Relative Calm In China's Fixed-Income Market Chart 7China's Sovereign CDS Spread Is Rising, But The Level Remains Low A decline in the RMB is necessary to stabilize China’s economy (and is thus reflationary), but global investors will not act like it is until the economy visibly improves. Global financial market commentary on the RMB has been focused almost exclusively over the past month on the USD-CNY exchange rate, but Chart 8 shows that the decline in the currency has been broad-based. The RMB has fallen roughly 1.4% versus the euro over the past month, and over 2% versus an equally-weighted basket of Asian currencies. We highlighted in our May 15 Weekly Report that a 25% increase in tariffs affecting all U.S.-China trade would cause economic conditions in China to deteriorate to 2015/2016-like levels, and that currency depreciation was essential in order to generate a 2015/2016-magnitude policy response.2 However, to the extent that the decline in the RMB will contribute to a period of greater volatility in the global foreign exchange market, China-related assets are not likely to respond positively to this form of stimulus until “hard” activity data clearly shows a meaningful rise. Chart 8The RMB Has Declined Against Everything, Not Just The Dollar   Jonathan LaBerge, CFA, Vice President Special Reports jonathanl@bcaresearch.com   Footnotes   1 Please see China Investment Strategy Weekly Report, “Waiting For The Pain”, dated May 29, 2019, available at cis.bcaresearch.com. 2 Please see China Investment Strategy Weekly Report, “Simple Arithmetic”, dated May 15, 2019, available at cis.bcaresearch.com. Cyclical Investment Stance Equity Sector Recommendations

Highlights Chart 1Bond Rally Supports Stocks Financial markets are pricing-in an intensifying global growth slowdown, but not all assets are responding equally. U.S. Treasuries have rallied strongly, while equities and credit spreads remain resilient. Case in point, the S&P 500 is only 5.9% off its Q3 highs in absolute terms, but is down 11.3% versus bonds (Chart 1). The markets are pricing-in that the Fed will react to slower growth by cutting rates and that easier Fed policy will keep risk assets supported. But consider what will happen if, at the June FOMC meeting, the Fed doesn’t seem as eager to cut rates as the market would like. The perception of less monetary support could prompt a sharp sell-off in equities and credit spreads. That tightening of financial conditions could then be enough to force the Fed’s hand, ultimately leading to the rate cut that the market has already come to expect. The odds of the above scenario are rising by the day, especially since the President’s decision to expand the trade war to Mexico. We recommend a cautious near-term (0-3 month) stance on credit spreads as a hedge against this mounting risk.  Feature Investment Grade: Overweight Chart 2Investment Grade Market Overview Investment grade corporate bonds underperformed the duration-equivalent Treasury index by 139 basis points in May, dragging year-to-date excess returns down to +221 bps. As we noted in last week’s report, corporate bond spreads have not responded as aggressively as some other assets – commodities and Treasuries – to the escalating trade war and the deteriorating global growth data.1 This leaves the sector vulnerable to a near-term sell-off, especially if the Fed doesn’t validate the market’s dovish expectations at this month’s FOMC meeting. We advise investors to hedge their exposure to credit spreads on a 0-3 month horizon. Beyond that, assuming that the U.S. government’s tariff announcements eventually reach a plateau, the outlook for corporate bond excess returns is positive on a 6-12 month investment horizon. Spreads are comfortably above levels typically seen at this stage of the economic cycle (Chart 2) and, tariffs aside, the U.S. economy is growing at a reasonable clip. As for balance sheets, corporate profit growth contracted in the first quarter, dragging the year-over-year growth rate down to 7%. That is roughly equivalent to the trend rate in corporate debt growth, meaning that if profit growth stabilizes near that level our measure of gross leverage will stay flat (panel 4). We are also keeping a close eye on C&I lending standards. While the most recent data showed an easing in Q1, the continued contraction in loan demand poses a risk (bottom panel). High-Yield: Overweight Chart 3High-Yield Market Overview High-Yield underperformed the duration-equivalent Treasury index by 250 basis points in May, dragging year-to-date excess returns down to +443 bps. As with investment grade corporates, the risk of near-term spread widening is high. We noted in last week’s report that excess junk returns versus Treasuries outpaced the CRB Raw Industrials index by 9% during the past 12 months, a historically wide divergence that is bound to fade.2 Looking further out, high-yield bonds still look like a good bet on a 6-12 month investment horizon. Spreads are comfortably above typical levels from past cycles and the excess spread available in the junk index after accounting for expected default losses has risen to 325 bps, well above its historical average (Chart 3). Assuming historically average excess compensation and a 50% recovery rate, current junk spreads discount an expected 12-month default rate of 3.1%. This is well above the Moody’s baseline projection of 1.5% and even above the 2.7% default rate seen during the past 12 months. The spread-implied default rate should be easy to beat, though a persistent increase in job cut announcements could pose a risk (bottom panel). MBS: Neutral Chart 4MBS Market Overview Mortgage-Backed Securities underperformed the duration-equivalent Treasury index by 40 basis points in May, dragging year-to-date excess returns down to -13 bps. The conventional 30-year zero-volatility spread widened 6 bps on the month, the combination of a 4 bps widening in the option-adjusted spread (OAS) and a 2 bps increase in the compensation for prepayment risk (option cost). At 49 bps, the conventional 30-year OAS now looks elevated compared to recent years, though it remains slightly below its pre-crisis mean (Chart 4). Nonetheless, we see high odds that the MBS/Treasury basis will contract going forward. Falling mortgage rates and an uptick in refinancing activity led to the recent widening in MBS spreads. But with the housing activity data showing signs of improvement, we anticipate that mortgage rates are close to a trough and that refis will soon peak (panel 2). If the “risk off” sentiment in financial markets prevails in the near-term, then MBS will outperform corporate credit. But expected 6-12 month excess returns remain higher for corporate bonds than for MBS. We therefore maintain only a neutral allocation to MBS, despite increasingly attractive valuations. Government-Related: Underweight Chart 5Government-Related Market Overview The Government-Related index underperformed the duration-equivalent Treasury index by 45 basis points in May, dragging year-to-date excess returns down to +107 bps. Sovereign debt underperformed duration-equivalent Treasuries by 205 bps on the month, dragging year-to-date excess returns down to +206 bps. Local Authorities outperformed the Treasury benchmark by 11 bps, bringing year-to-date excess returns up to +219 bps. Meanwhile, Foreign Agencies underperformed by 61 bps, dragging year-to-date excess returns down to +130 bps. Domestic Agencies underperformed by 1 bp in May, bringing year-to-date excess returns up to +28 bps. Supranationals outperformed by 4 bps on the month, bringing year-to-date excess returns up to +27 bps. Sovereign debt remains expensive relative to equivalently rated U.S. corporate credit (Chart 5), and the dollar’s relentless march higher presents a further headwind for the sector. We continue to recommend an underweight allocation. Previously, we made an exception for Mexican sovereign bonds, which trade cheap relative to U.S. corporates (bottom panel). However, with the U.S. government now threatening tariffs on imported Mexican goods, the peso will likely see heightened volatility in the coming months. We recommend standing aside on Mexican sovereigns for the time being. Municipal Bonds: Overweight Chart 6Municipal Market Overview Municipal bonds underperformed the duration-equivalent Treasury index by 75 basis points in May, dragging year-to-date excess returns down to +29 bps (before adjusting for the tax advantage). The average Aaa-rated Municipal / Treasury yield ratio rose 1% in May, and currently sits at 80% (Chart 6). The ratio is more than one standard deviation below its post-crisis mean, but close to the average of 81% that prevailed in the late stages of the previous cycle, between mid-2006 and mid-2007. Long-dated municipal bonds (10-year, 20-year and 30-year) have outperformed short-dated munis (2-year and 5-year) by a wide margin since the beginning of the year, but long-end yield ratios remain relatively attractive. 20-year and 30-year Aaa-rated municipal bonds are particularly alluring. Yield ratios for those bonds remain above their pre-crisis averages, whereas 10-year, 5-year and 2-year Aaa yield ratios are close to one standard deviation below their respective pre-crisis means. State & local government balance sheets are in decent shape and a material increase in ratings downgrades is unlikely (bottom panel). We therefore recommend an overweight allocation to municipal bonds, but with a preference for 20-year and 30-year Aaa-rated securities. We showed in a recent report that value declines sharply if you move into shorter maturities or lower credit tiers.3 Treasury Curve: Maintain A Barbell Curve Positioning Chart 7Treasury Yield Curve Overview The Treasury curve bull-flattened dramatically in May, with yields falling by more than 30 basis points for all maturities beyond 1 year. The 2/10 Treasury slope flattened 5 bps on the month and currently sits at 19 bps. The 5/30 slope was unchanged on the month and currently sits at 65 bps (Chart 7). The belly (5-year/7-year) of the curve looks particularly expensive relative to the wings (see Appendix B) and we continue to recommend a barbell curve positioning: Investors should overweight the long and short ends of the curve and avoid the belly.4 Further, this week we recommend an additional fed funds futures calendar spread trade to take advantage of possible near-term Fed actions. Investors should buy the August 2019 contract and sell the February 2020 contract. The long position in the August contract will turn a profit if the Fed responds to market turmoil and cuts rates at the June or July meetings. Meanwhile, the short position in the February 2020 contract will only lose money if 3 or more rate cuts occur between now and then. We would expect our spread trade to return +48 bps in a scenario where the Fed keeps rates flat until next March and +23 bps in a scenario where there is one rate cut in June or July and another rate cut between September and January. The only scenarios where the trade loses money involve two or more rate cuts between September and January. TIPS: Overweight Chart 8Inflation Compensation TIPS underperformed the duration-equivalent nominal Treasury index by 116 basis points in May, dragging year-to-date excess returns down to +39 bps. The 10-year TIPS breakeven inflation rate fell 21 bps on the month and currently sits at 1.74%. The 5-year/5-year forward TIPS breakeven inflation rate fell 15 bps on the month and currently sits at 1.90%. As we have noted in recent research, FOMC members are monitoring long-dated inflation expectations and are committed to keeping policy easy enough to “re-anchor” them at levels consistent with the Fed’s 2% target.5 In the long-run, this will support a return of long-dated TIPS breakeven inflation rates (both 10-year and 5-year/5-year forward) to our 2.3% - 2.5% target range. However, for breakevens to move higher investors will also need to see evidence that realized inflation can be sustained near 2%. On that note, the core PCE deflator grew at a healthy 3% (annualized) clip in April, but has only risen 1.6% during the past year. 12-month trimmed mean PCE inflation has been higher, and actually just moved above the Fed’s target following last week’s April data release (Chart 8). In last week’s report we noted that core PCE inflation has a track record of converging toward the trimmed mean.6 As such, we recommend that investors remain overweight TIPS versus nominal Treasuries in U.S. bond portfolios. ABS: Underweight Chart 9ABS Market Overview Asset-Backed Securities outperformed the duration-equivalent Treasury index by 15 basis points in May, bringing year-to-date excess returns up to +64 bps. The index option-adjusted spread for Aaa-rated ABS narrowed 5 bps on the month and actually hit a new all-time low of 26 bps in mid-May, before settling at 28 bps (Chart 9). In addition to poor valuation, the sector’s credit fundamentals are also shifting in a negative direction. Household interest payments continue to trend up, suggesting a higher delinquency rate going forward (panel 3). Meanwhile, the Fed’s Senior Loan Officer Survey revealed that average consumer lending standards tightened in Q1 for the second consecutive quarter. Tighter lending standards usually coincide with rising consumer delinquencies (bottom panel). Loan officers also reported slowing demand for credit cards for the fifth consecutive quarter, and slowing auto loan demand for the third consecutive quarter. The combination of poor value and deteriorating credit quality leads us to recommend an underweight allocation to consumer ABS. Non-Agency CMBS: Neutral Chart 10CMBS Market Overview Non-Agency Commercial Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 8 basis points in May, bringing year-to-date excess returns up to +195 bps. The index option-adjusted spread for non-agency Aaa-rated CMBS widened 2 bps on the month. It currently sits at 69 bps, below its average pre-crisis level but somewhat above levels seen in 2018 (Chart 10). The macro outlook for commercial real estate looks somewhat unfavorable, with lenders tightening standards (panel 4) amidst waning demand (bottom panel) and decelerating prices (panel 3). However, CMBS still offer reasonable compensation for this risk. Especially compared to other similarly-rated fixed income sectors.7 Agency CMBS: Overweight Agency CMBS underperformed the duration-equivalent Treasury index by 6 basis points in May, bringing year-to-date excess returns up to +90 bps. The index option-adjusted spread widened 3 bps on the month and currently sits at 51 bps. The Excess Return Bond Map in Appendix C shows that Agency CMBS offer high potential return compared to other low-risk spread product. An overweight allocation to this defensive sector remains appropriate. Appendix A - The Golden Rule Of Bond Investing We follow a two-step process to formulate recommendations for bond portfolio duration. First, we determine the change in the federal funds rate that is priced into the yield curve for the next 12 months. Second, we decide – based on our assessments of the economy and Fed policy – whether the change in the fed funds rate will exceed or fall short of what is priced into the curve. Most of the time, a correct answer to this question leads to the appropriate duration call. We call this framework the Golden Rule Of Bond Investing, and we demonstrated its effectiveness in the U.S. Bond Strategy Special Report, “The Golden Rule Of Bond Investing”, dated July 24, 2018, available at usbs.bcaresearch.com. Chart 11 illustrates the Golden Rule’s track record by showing that the Bloomberg Barclays Treasury Master Index tends to outperform cash when rate hikes fall short of 12-month expectations, and vice-versa. Chart 11The Golden Rule's Track Record At present, the market is priced for 75 basis points of cuts during the next 12 months. We do not anticipate any rate cuts during this timeframe, and therefore recommend that investors maintain below-benchmark portfolio duration. We can also use our Golden Rule framework to make 12-month total return and excess return forecasts for the Bloomberg Barclays Treasury index under different scenarios for the fed funds rate. Excess returns are relative to the Bloomberg Barclays Cash index. To forecast total returns we first calculate the 12-month fed funds rate surprise in each scenario by comparing the assumed change in the fed funds rate to the current value of our 12-month discounter. This rate hike surprise is then mapped to an expected change in the Treasury index yield using a regression based on the historical relationship between those two variables. Finally, we apply the expected change in index yield to the current characteristics (yield, duration and convexity) of the Treasury index to estimate total returns on a 12-month horizon. The below tables present those results, along with 95% confidence intervals. Excess returns are calculated by subtracting assumed cash returns in each scenario from our total return projections. Appendix B - Butterfly Strategy Valuation The following tables present the current read-outs from our butterfly spread models. We use these models to identify opportunities to take duration-neutral positions across the Treasury curve. The following two Special Reports explain the models in more detail: U.S. Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com U.S. Bond Strategy Special Report, “More Bullets, Barbells And Butterflies”, dated May 15, 2018, available at usbs.bcaresearch.com Table 4 shows the raw residuals from each model. A positive value indicates that the bullet is cheap relative to the duration-matched barbell. A negative value indicates that the barbell is cheap relative to the bullet. Table 4Butterfly Strategy Valuation: Raw Residuals In Basis Points (As of May 31, 2019) Table 5 scales the raw residuals in Table 4 by their historical means and standard deviations. This facilitates comparison between the different butterfly spreads. Table 5Butterfly Strategy Valuation: Standardized Residuals (As of May 31, 2019) Table 6 flips the models on their heads. It shows the change in the slope between the two barbell maturities that must be realized during the next six months to make returns between the bullet and barbell equal. For example, a reading of +56 bps in the 5 over 2/10 cell means that we would only expect the 5-year to outperform the 2/10 if the 2/10 slope steepens by more than 56 bps during the next six months. Otherwise, we would expect the 2/10 barbell to outperform the 5-year bullet. Table 6Discounted Slope Change During Next 6 Months (BPs) Appendix C - Excess Return Bond Map The Excess Return Bond Map is used to assess the relative risk/reward trade-off between different sectors of the U.S. fixed income market. The Map employs volatility-adjusted breakeven spread analysis to show how likely it is that a given sector will earn/lose money during the subsequent 12 months. The Map does not incorporate any macroeconomic view. The horizontal axis of the Map shows the number of days of average spread widening required for each sector to lose 100 bps versus a position in duration-matched Treasuries. Sectors plotting further to the left require more days of average spread widening and are therefore less likely to see losses. The vertical axis shows the number of days of average spread tightening required for each sector to earn 100 bps in excess of duration-matched Treasuries. Sectors plotting further toward the top require fewer days of spread tightening and are therefore more likely to earn 100 bps of excess return. Ryan Swift, U.S. Bond Strategist rswift@bcaresearch.com Jeremie Peloso, Research Analyst jeremiep@bcaresearch.com Footnotes 1 Please see U.S. Bond Strategy Weekly Report, “Hedge Near-Term Credit Exposure”, dated May 28, 2019, available at usbs.bcaresearch.com 2 Please see U.S. Bond Strategy Weekly Report, “Hedge Near-Term Credit Exposure”, dated May 28, 2019, available at usbs.bcaresearch.com 3 Please see U.S. Bond Strategy Weekly Report, “Full Speed Ahead”, dated April 16, 2019, available at usbs.bcaresearch.com 4 We have specifically been recommending a position short the 7-year bullet and long a duration-matched 2/30 barbell. 5 Please see U.S. Bond Strategy Weekly Report, “The New Battleground For Monetary Policy”, dated March 26, 2019, available at usbs.bcaresearch.com 6 Please see U.S. Bond Strategy Weekly Report, “Hedge Near-Term Credit Exposure”, dated May 28, 2019, available at usbs.bcaresearch.com 7 Please see U.S. Bond Strategy Weekly Report, “The Search For Aaa Spread”, dated March 12, 2019, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation

Please note that analysis on India is published below. Highlights This report reviews several financial market-based indicators and price signals from various corners of global markets that are pertinent to the global business cycle, and hence to EM risk assets. The overwhelming message from these indicators and price actions is that the global industrial cycle remains in the doldrums, and a recovery is not imminent. As such, global cyclical segments, commodities, and EM assets are all at risk of plunging. Beware of reigning complacency in EM sovereign and corporate credit markets. Various indicators point to wider EM credit spreads. Feature EM risk assets appear to be on the brink of a breakdown. This week we review various market-based indicators that are telegraphing a relapse in both EM risk assets and commodities. The relative performance of EM versus global stocks leads turning points in the global manufacturing cycle by about six months. As always, we monitor economic data extremely closely. However, one cannot rely solely on economic data to predict directional changes in financial markets. Turning points of economic indicators and data often lag those of financial markets. In fact, one can make reliable economic forecasts based on the performance of financial markets. For example, the relative performance of EM versus global stocks leads turning points in the global manufacturing cycle by about six months (Chart I-1). Chart I-1EM Stocks Signal No Improvement In Global Industrial Cycle Over the years, we have devised and tracked several market-based indicators that have a good track record of identifying trends in EM risk assets. In addition, we constantly monitor price signals from various corners of financial markets that are pertinent to the global business cycle, and hence to EM risk assets. The overwhelming message from these market-based indicators is that the global industrial cycle remains in the doldrums, and a recovery is not imminent. As such, global cyclical segments, commodities and EM are all at risk of plunging. Our Reflation Indicator Our Reflation Indicator is calculated as an equal-weighted average of the London Industrial Metals Price Index (LMEX), platinum prices and U.S. lumber prices. The LMEX index is used as a proxy for Chinese growth, while U.S. lumber prices reflect cyclical growth conditions in the American economy. We use platinum prices as a global reflation proxy; this semi-precious metal is sensitive to the global industrial cycle in addition to benefitting from easy U.S. dollar liquidity. The Reflation Indicator has failed to advance above its long-term moving average and has broken down. Chart I-2Our Reflation Indicator Presages No Reflation Chart I-2 illustrates that the Reflation Indicator has failed to advance above its long-term moving average and has broken down. Typically, such a technical profile is worrisome and is often followed by a significant drop. In addition, the Reflation Indicator rolled over at its previous highs last year, another bearish technical signal. Investors should heed signals from this indicator as it correlates well with EM share prices in U.S. dollar terms as well as EM sovereign and corporate credit spreads (Chart I-3). EM credit spreads are shown inverted in the middle and bottom panels. An examination of the individual components of the Reflation Indicator reveals the following: Industrial metals prices in general and copper prices in particular have formed a classic head-and-shoulders pattern (Chart I-4, top panel). As and when the neckline of this pattern is broken, a major downward gap is likely to ensue. Platinum prices have reverted from their key technical resistance levels (Chart I-4, middle panel). This constitutes a bearish technical configuration, and odds are that platinum prices will be in freefall. Finally, lumber prices have failed to punch above their 200-day moving average and have broken below their 3-year moving average (Chart I-4, bottom panel). Chart I-3Reflation Indicator And EM Chart I-4Beware Of Breakdowns In Commodities Prices These technical signals are in accordance with our qualitative assessment of global growth conditions. The global industrial cycle remains very weak, and a recovery is not yet imminent. Meanwhile, the U.S. is the least exposed to the ongoing global trade recession because manufacturing and exports each represent only about 12% of the U.S. economy. Remarkably, economic weakness in Asian export-dependent economies has so far been driven by retrenching demand in China – not the U.S. As Chart I-5 reveals, aggregate exports to China from Korea, Japan, Taiwan and Singapore were still contracting at a 9% pace in April from a year ago, while their shipments to the U.S. grew at a respectable 7% rate. Chart I-5Asian Exports To China And To U.S Chart I-6Global Steel And Energy Stocks Are Breaking Down Commodities: Hanging By A Thread? Some commodity-related markets are also exhibiting configurations that are consistent with a breakdown. Specifically: Global steel stocks as well as oil and gas share prices have formed a head-and-shoulders pattern, and are breaking below their necklines (Chart I-6). Such a technical configuration foreshadows major downside. Shares of Glencore – a major player in the commodities space – have dropped below their three-year moving average which has served as a support a couple of times in recent years (Chart I-7). Crucially, this stock has also exhibited a head-and-shoulders formation, and has nose-dived below its neckline. Kennametal (KMT) – a high-beta U.S. industrial stock – leads U.S. manufacturing cycles, and has formed a similar configuration to Glencore’s (Chart I-8). This raises the odds that the U.S. manufacturing PMI will drop below the 50 line. Chart I-7A Head-And-Shoulders Pattern In Glencore Stock... Chart I-8...And In Kennametal (High-Beta U.S. Industrial Stock) Finally, three-year forward oil prices are breaking below their three-year moving averages (Chart I-9). A drop below this technical support will probably mark a major downleg in crude prices. Bottom Line: Commodities and related equity sectors appear vulnerable to the downside. Meanwhile, the U.S. dollar is exhibiting a bullish technical pattern and will likely grind higher, as we discussed in last week’s report titled, The RMB: Depreciation Time? (Chart I-10). Chart I-9Forward Oil Prices Are Much Weaker Than Spot Chart I-10The U.S. Dollar Is Heading Higher EM Equities: A Make-It-Or-Break-It Moment Chart I-11EM Stock Indexes: Sitting On Edge Of A Cliff The MSCI EM Overall Equity Index is at an important technical support level (Chart I-11, top panel). If this support is violated, a major downleg will likely ensue. In addition to the above indicators, the following observations also suggest that this support level will be broken and that a gap-down phase will transpire. Both the EM small-cap and equal-weighted equity indexes have been unable to advance above their respective three-year moving averages and are now breaking down (Chart I-11, middle and bottom panels). This could be a precursor for the overall EM stock index to tumble through defense lines, and drop well below its December lows. Our Risk-On/Safe-Haven Currency ratio also points to lower EM share prices (Chart I-12). This indicator is constructed using relative total returns of commodity related (cyclical) currencies such as the AUD, NZD, CAD, BRL, CLP and ZAR against safe-haven currencies such as the JPY and CHF. Importantly, as with EM stocks, this market-based indicator has failed to break above highs reached over the past 10 years. This is in spite of negative interest rates in both Japan and Switzerland that have eroded the latter’s total returns in local currency terms. This ratio has also formed a head-and-shoulders pattern, and may be on the edge of breaking below its neckline. A move lower will spell trouble for EM financial markets. EM corporate profits are shrinking in U.S. dollar terms, and the pace of contraction will continue to deepen through the end of the year. The U.S.-China confrontation is not the only reason behind the EM selloff. In fact, the EM equity rebound early this year was not supported by improving profits. Not surprisingly, the EM equity rebound has quickly faded as investor sentiment deteriorated in response to rising trade tensions. Global semiconductor share prices have made a double top and are falling sharply. Importantly, prices for semiconductors (DRAM and NAND) have not recovered since early this year. The ongoing downdraft in the global semiconductor industry will continue to weigh on the emerging Asian Equity Index. Finally, the relative performance of emerging Asian equities versus DM ones has retreated from its major resistance level (Chart I-13). Odds are that it will break below its recent lows. Chart I-12Risk-On/Safe-Haven Currency Ratio And EM Equities Chart I-13Emerging Asian Stocks Versus Developed Markets Bottom Line: EM share prices are sitting on the edge of a cliff. Further weakness will likely lead to investor capitulation and a major selloff. EM Credit Markets: Reigning Complacency? One asset class in the EM space that has so far held up relatively well is sovereign and especially corporate credit. EM sovereign bonds’ excess returns correlate with EM currencies and industrial metals prices, as shown in Chart I-14. So far, material EM currency depreciation and a drop in industrial metals prices have generated only a mild selloff in EM sovereign credit. Lower commodities prices, EM currency depreciation and weaker global growth are all negatives for cash flows of both sovereign and corporate issuers. Excess returns on EM corporate bonds track the global business cycle closely (Chart I-15). The current divergence between EM corporates’ excess returns and the global manufacturing PMI is unprecedented. Chart I-14EM Sovereign Credit Market Is Complacent... Chart I-15...As Is EM Corporate Credit Market Our expectation that EM credit spreads will widen is not contingent on a massive default cycle unravelling across the EM credit space. However, lower commodities prices, EM currency depreciation and weaker global growth are all negatives for cash flows of both sovereign and corporate issuers. Chart I-16 illustrates that swings in cash flow from operations (CFO) among EM ex-financials and technology companies correlate with other global business cycle indicators such as Germany’s IFO manufacturing index. Chart I-16EM Corporate Cash Flow Fluctuates With Global Manufacturing Cycle Chart I-17EM Corporate Spreads Are Too Narrow Given Their Financial Health The lingering weakness in the global business cycle will likely lead to shrinking CFOs among EM companies, and hence warrants wider corporate credit spreads. Concerning valuations, EM corporate bonds are not cheap at all when their fundamentals are taken into account. Chart I-17 demonstrates two vital debt-servicing ratios for EM ex-financials and technology companies: interest expense-to-CFO and net debt-to-CFO. Both measures have improved only marginally in recent years, yet corporate spreads are not far from their all-time lows (Chart I-17, bottom panel). We are aware that with DM bond yields at very low levels - and in many cases even negative - the appeal of EM credit markets has risen. We are also cognizant that some investors are expecting to hold these bonds to maturity and earn a reasonable yield. Such a strategy has largely paid off in recent years. Nevertheless, if the selloff in EM financial markets escalates – as we expect – EM credit markets will be hit hard as well. To this end, it makes sense to step aside and wait for a better entry point. For dedicated fixed-income portfolios, we continue to recommend underweighting EM sovereign and corporate credit versus U.S. investment-grade credit. Finally, to identify relative value within EM sovereign credit spreads, we plot, each country’s foreign debt obligations as a share of annual exports on the X axis against sovereign spreads on the Y axis (Chart I-18). This scatter plot reveals that Russia and Mexico offer the best relative value in the EM sovereign space. As such, we are reiterating our high-conviction overweight position in these sovereign credit markets as well as in Hungary, Poland, Chile and Colombia. South Africa and Brazil appear attractive as well, but we are underweight these two sovereign credits. The basis for our pessimistic outlook is due to the unsustainable public debt dynamics in these two countries, as we discussed in our Special Report from April 23. Other underweights within the EM sovereign credit space include Indonesia, the Philippines, Malaysia, Turkey and Argentina.   Arthur Budaghyan Chief Emerging Markets Strategist arthurb@bcaresearch.com     India: How Sustainable Is A 2.0 Modi Rally? Prime Minister Narendra Modi, and his party – the Bharatiya Janata Party – have won a strong majority in the Indian general election this month. Indian stocks surged in the past month as evidence was emerging that Modi was in the lead. Chart II-1Facing Resistance? Yet this Modi 2.0 rally is unlikely to last for too long. First, as EM stocks continue selling off, Indian share prices will not defy gravity and will fall in absolute terms. Interestingly, the Indian stock market has hit its previous highs – levels at which it failed to break above in the past 12 years (Chart II-1, top panel). We expect this resistance line to hold this time around too. Likewise, we are still reluctant to upgrade this bourse on a relative basis as it has reached its previous highs. This level will likely prove to be a hindrance, at least for the time being (Chart II-1, bottom panel). The basis for betting against a break out in Indian equity prices in both absolute terms and relative to the EM benchmark over the next couple of months is because of the following: Domestic Growth Weakness: India’s domestic growth has been decelerating sharply. The top two panels of Chart II-2 illustrate that manufacturing and intermediate goods production as well as capital goods production growth are all either contracting or on the verge of shrinking. Similarly, domestic orders-to-inventories ratio for businesses is pointing to a further growth slump according to a survey conducted by Dun & Bradstreet (Chart II-2, bottom panel). Furthermore, sales growth of all types of vehicles are either contracting or have stalled (Chart II-3). Chart II-2Business Cycle Is Weak Chart II-3Domestic Demand Is Fragile Regarding the financial sector, Indian banks – encouraged by a more permissive and forbearing central bank on the recognition of non-performing loans – have recently lowered provisions to boost their earnings (Chart II-4). Share prices should not normally react to such accounting changes. Banks either do carry these NPLs or do not. Therefore, the stock price of a bank should not fluctuate much if a central bank is forcing it to recognize those NPLs or if the latter is relaxing recognition and provisioning standards. Chart II-4Less Provisions = More Paper Profit Chart II-5Very Weak Equity Breadth In brief, we are skeptical about the sustainability of the current rally in bank share prices based on the relaxation of some accounting rules. Unfavorable Technicals & Valuations: Technicals for India’s stock market are precarious. Participation in this rally has been very slim. Indian small cap stocks have not rallied much, lagging dramatically behind large-cap stocks (Chart II-5, top panel). Our proxy for market breadth – the ratio of equal-weighted stocks to market-cap weighted stocks – has also been deteriorating and is sending a very bearish signal for the overall stock market (Chart II-5, bottom panel). Finally, the Indian stock market is overbought and vulnerable to a general selloff in EM stocks. Namely, foreign investors have rushed into Indian equities as of late. This raises the risk of a pullout as foreign investors become disappointed by India’s dismal corporate earnings and outflows from EM funds leads them to pare their holdings. As for valuations, the Indian stock market is still quite expensive both in absolute and relative terms. Oil Prices: Although oil prices will likely drop,1 Indian stocks could still underperform the EM equity benchmark in the near term. Chart II-6India Versus EM & Oil Prices The rationale for this is that Indian equities have brushed off the rise in oil prices since the beginning of the year and outperformed the majority of other EM bourses (Chart II-6). By extension, Indian equities could ignore lower oil prices for a while and underperform the EM benchmark in the near term. Beyond near term underperformance, however, India will likely resume its outperformance. First, sustainably lower oil prices will begin to help the Indian stock market later this year. Second, the growth impact of ongoing fiscal and monetary easing will become visible toward the end of this year. Meanwhile, food prices are starting to pickup and this will support rural income and spending. Finally, the Indian economy is much less vulnerable to a slowdown in global trade because Indian exports make only 13% of the country's GDP. Bottom Line: We are maintaining our underweight stance in Indian equities for tactical considerations, but are putting this bourse on an upgrade watch-list. Ayman Kawtharani, Editor/Strategist ayman@bcaresearch.com     Footnotes   1 The view on commodities of BCA’s Emerging Markets Strategy service is different from BCA’s house view due to the difference on the view on the global business cycle and Chinese demand. Equity Recommendations Fixed-Income, Credit And Currency Recommendations

Highlights Chart 1Is Low Inflation Transitory? Persistent /pə’sıst(ə)nt/ adj. If inflation runs persistently above or below 2 percent, then the Fed would be forced to adjust its policy stance to nudge it back towards target. Transitory /’trænsıtərı/ adj. If inflation’s deviation from target is only transitory, it means that it will return to target even if the Fed maintains its current policy stance. Symmetrical /sı‘metrık(ə)l/ adj. The Fed’s inflation target is symmetrical because the FOMC is as concerned with undershoots as it is with overshoots. More recently, some members are urging the Fed to demonstrate the target’s symmetry by explicitly pursuing an overshoot.  Last week, Chair Powell described recent low inflation readings as transitory (Chart 1). In other words, the Fed believes that interest rates are already low enough to send inflation higher over time. Equally, with downbeat inflation expectations signaling doubts about the symmetry of the Fed’s target (bottom panel), the committee is in no rush to hike. The result is status quo monetary policy for the time being. With the market priced for 25 basis points of rate cuts over the next 12 months, investors should keep portfolio duration low. Feature Investment Grade: Overweight Chart 2Investment Grade Market Overview Investment grade corporate bonds outperformed the duration-equivalent Treasury index by 95 basis points in April, bringing year-to-date excess returns up to +365 bps. The corporate bond sector’s strong outperformance has resulted in spread tightening across the credit spectrum. In fact, average index spreads for the Aaa, Aa and A credit tiers are now at or below our fair value targets.1 Only the Baa credit tier, which accounts for about 50% of index market cap, remains attractively valued, with an average spread 11 bps above target (Chart 2). We recommend that investors focus their investment grade credit exposure on Baa-rated bonds. The combination of above-trend economic growth and accommodative Fed policy creates a favorable environment for credit risk. Spreads should continue to tighten in the near-term. However, we will turn more cautious once Baa spreads reach our target. Gross corporate leverage ticked higher in Q4, breaking a year-long downtrend (panel 4). Meantime, while C&I lending standards eased slightly in Q1 after having tightened in Q4 (bottom panel), C&I loan demand contracted for the third consecutive quarter. Weaker loan demand in the Fed’s Senior Loan Officer Survey often precedes tighter lending standards, and tighter lending standards usually coincide with wider corporate bond spreads.    High-Yield: Overweight Chart 3High-Yield Market Overview High-Yield outperformed the duration-equivalent Treasury index by 137 basis points in April, bringing year-to-date excess returns up to +710 bps. Junk spreads for all credit tiers remain above our spread targets (Chart 3).2 At present: The Ba-rated option-adjusted spread is 214 bps, 35 bps above target. The B-rated spread is 356 bps, 79 bps above target. The Caa-rated spread is 709 bps, 145 bps above target. An alternative valuation measure, the excess spread available in the junk index after accounting for expected default losses, is currently 267 bps, slightly above average historical levels (panel 4). However, this measure uses the Moody’s baseline default rate forecast of 1.7% for the next 12 months. For that forecast to be realized, it would require a substantial decline from the current default rate of 2.4%. In a previous Special Report, we flagged some reasons why the Moody’s forecast might be too optimistic.3 Among them is the increase in job cut announcements, which remains a concern despite last month’s drop (bottom panel). If we assume that the default rate holds at 2.4% for the next 12 months, the default-adjusted junk spread would fall to 237 bps. Still reasonably attractive by historical standards, and consistent with positive excess returns. MBS: Neutral Chart 4MBS Market Overview Mortgage-Backed Securities underperformed the duration-equivalent Treasury index by 1 basis point in April, dragging year-to-date excess returns down to +27 bps. The conventional 30-year zero-volatility spread widened 1 bp on the month, as a 5 bps widening in the option-adjusted spread (OAS) was partially offset by a 4 bps drop in the compensation for prepayment risk (option cost). At 42 bps, the conventional 30-year OAS now looks elevated compared to recent years, though it remains below the pre-crisis mean (Chart 4). In fact, we would assign high odds to MBS outperformance during the next few months. Not only is the OAS attractive, but mortgage refinancings – which have recently caused the nominal MBS spread to widen – have probably peaked (panel 2). Following its sharp decline earlier in the year, the 30-year mortgage rate has now leveled-off. Another downleg is unlikely, given the recent improvements in housing data. New home sales and mortgage purchase applications have both surged in recent months, while homebuilder optimism remains close to one standard deviation above its long-run mean.4 Moreover, even at current mortgage rates we calculate that only about 17% of the conventional 30-year MBS index is refinanceable.  All in all, given that corporate credit offers higher expected returns, we continue to recommend only a neutral allocation to MBS. However, MBS spreads are very likely to tighten during the next few months.   Government-Related: Underweight Chart 5Government-Related Market Overview The Government-Related index outperformed the duration-equivalent Treasury index by 37 basis points in April, bringing year-to-date excess returns up to +152 bps. Sovereign debt outperformed duration-equivalent Treasuries by 83 bps on the month, bringing year-to-date excess returns up to +420 bps. Local Authorities outperformed the Treasury benchmark by 67 bps and Foreign Agencies outperformed by 40 bps, bringing year-to-date excess returns up to +208 bps and +192 bps, respectively. Domestic Agencies outperformed by 10 bps in April, bringing year-to-date excess returns up to +29 bps. Supranationals outperformed by 7 bps on the month, bringing year-to-date excess returns up to +23 bps. The Fed’s on-hold policy stance and signs of improvement in leading global growth indicators could set the U.S. dollar up for a period of weakness. All else equal, a softer dollar makes USD-denominated sovereign debt easier to service, benefiting spreads. However, a period of dollar weakness driven by improving global growth would also benefit U.S. corporate bonds, and valuation is heavily tilted in favor of U.S. corporate debt relative to sovereigns (Chart 5). Given that the last period of significant sovereign outperformance versus corporates was preceded by much more attractive valuation (panels 2 & 3), we maintain an underweight allocation to sovereign debt for the time being. We make an exception for Mexican sovereign debt, where spreads are attractive compared to similarly rated U.S. corporates (bottom panel). Our Emerging Markets Strategy service also thinks that the market is taking too dim a view of Mexican government finances.5 Municipal Bonds: Overweight Chart 6Municipal Market Overview Municipal bonds outperformed the duration-equivalent Treasury index by 52 basis points in April, bringing year-to-date excess returns up to +105 bps (before adjusting for the tax advantage). The average Aaa-rated Municipal / Treasury yield ratio fell 3% in April, and currently sits at 78% (Chart 6). This is more than one standard deviation below its post-crisis mean and slightly below the average of 81% that prevailed in the late stages of the previous cycle, between mid-2006 and mid-2007. Long-dated municipal bonds (10-year, 20-year and 30-year) outperformed short-dated munis (2-year and 5-year) dramatically last month, but yield ratios at the long end remain well above those at the short end of the curve (panel 2). In other words, the best value in the municipal bond space continues to be found at the long-end of the Aaa muni curve. We showed in a recent report that lower-rated and shorter-maturity munis are much less attractive.6 First quarter GDP data revealed that state & local government tax revenues snapped back sharply in Q1, following a contraction in 2018 Q4. Meanwhile, current expenditures actually ticked down. Incorporating an assumption for Q1 corporate tax revenues, we forecast that state & local government interest coverage jumped to 16% in Q1 from 4% in 2018 Q4.7  This is consistent with municipal ratings upgrades continuing to outpace downgrades for the time being (bottom panel). Treasury Curve: Adopt A Barbell Curve Positioning Chart 7Treasury Yield Curve Overview The Treasury curve bear-steepened in April. The 2/10 Treasury slope steepened 10 bps on the month and currently sits at 21 bps (Chart 7). The 5/30 slope steepened 7 bps on the month and currently sits at 60 bps. In recent reports we have urged investors to adopt barbell positions along the yield curve. In particular, investors should avoid the 5-year and 7-year maturities and instead focus their allocations at the very short and long ends of the curve.8 There are three main reasons to prefer a barbell positioning. First, the 5-year and 7-year yields are most sensitive to changes in our 12-month discounter. In other words, those yields fall the most when the market prices in rate cuts and rise the most when it prices in rate hikes. With recession likely to be avoided this year, the market will eventually price rate hikes back into the curve. Second, barbells currently offer a yield pick-up relative to bullets. The duration-matched 2/10 barbell offers 8 bps more yield than the 5-year bullet (panel 4), and the duration-matched 2/30 barbell offers 5 bps more yield than the 7-year bullet. This means that investors will earn positive carry in barbell positions while they wait for rate hikes to get priced back in. Finally, almost all barbell combinations look cheap according to our yield curve fair value models (see Appendix B). TIPS: Overweight Chart 8TIPS Market Overview TIPS outperformed the duration-equivalent nominal Treasury index by 81 basis points in April, bringing year-to-date excess returns up to +157 bps. The 10-year TIPS breakeven inflation rate rose 13 bps on the month and currently sits at 1.91% (Chart 8). The 5-year/5-year forward TIPS breakeven inflation rate rose 12 bps on the month and currently sits at 2.02%. Both rates remain below the 2.3% - 2.5% range that has historically been consistent with inflation expectations that are well-anchored around the Fed’s target. As we noted in a recent report, the Fed has clearly pivoted to a more dovish stance in an effort to re-anchor inflation expectations at levels more consistent with its 2% target.9 This change should support wider TIPS breakevens, though investors will also need to see evidence of firming realized inflation before meaningful upside materializes. So far, such evidence is in short supply. Year-over-year core PCE inflation dipped to 1.55% in March. However, as Fed Chair Powell went out of his way to mention in last week’s press conference, core PCE was dragged down by one-off adjustments in the ‘Clothing & Footwear’ and ‘Financial Services’ components. In fact, 12-month trimmed mean PCE inflation actually moved up in March. It now sits at 1.96%, just below the Fed’s target (bottom panel). The combination of a dovish Fed and above-trend economic growth should push TIPS breakevens higher over time. Maintain an overweight allocation to TIPS versus nominal Treasuries. ABS: Underweight Chart 9ABS Market Overview Asset-Backed Securities outperformed the duration-equivalent Treasury index by 9 basis points in April, bringing year-to-date excess returns up to +49 bps. The index option-adjusted spread for Aaa-rated ABS narrowed one basis point on the month and, at 32 bps, it remains close to its all-time low (Chart 9). In addition to poor valuation, the sector’s credit fundamentals are also shifting in a negative direction. Household interest payments continue to trend up, suggesting a higher delinquency rate going forward (panel 3). Meanwhile, the Fed’s Senior Loan Officer Survey revealed that average consumer lending standards tightened in Q1 for the second consecutive quarter. Tighter lending standards usually coincide with rising consumer delinquencies (bottom panel). Loan officers also reported slowing demand for credit cards for the fifth consecutive quarter, and slowing auto loan demand for the third consecutive quarter. The combination of poor value and deteriorating credit quality leads us to recommend an underweight allocation to consumer ABS.     Non-Agency CMBS: Neutral Chart 10CMBS Market Overview Non-Agency Commercial Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 40 basis points in April, bringing year-to-date excess returns up to +187 bps. The index option-adjusted spread for non-agency Aaa-rated CMBS tightened 6 bps on the month. It currently sits at 67 bps, below its average pre-crisis level but somewhat higher than levels seen last year (Chart 10). In a recent report, we noted that non-agency CMBS offer the best risk/reward trade-off of any Aaa-rated U.S. spread product.10 While we remain cautious on the macro outlook for commercial real estate, noting that prices are decelerating (panel 3) and banks are tightening lending standards (panel 4) amidst falling demand (bottom panel), we view elevated CMBS spreads as providing reasonable compensation for this risk for the time being. Agency CMBS: Overweight Agency CMBS outperformed the duration-equivalent Treasury index by 21 basis points in April, bringing year-to-date excess returns up to +95 bps. The index option-adjusted spread tightened 2 bps on the month and currently sits at 47 bps. The Excess Return Bond Map in Appendix C shows that Agency CMBS offer high potential return compared to other low-risk spread products. An overweight allocation to this defensive sector remains appropriate. Appendix A - The Golden Rule Of Bond Investing We follow a two-step process to formulate recommendations for bond portfolio duration. First, we determine the change in the federal funds rate that is priced into the yield curve for the next 12 months. Second, we decide – based on our assessments of the economy and Fed policy – whether the change in the fed funds rate will exceed or fall short of what is priced into the curve. Most of the time, a correct answer to this question leads to the appropriate duration call. We call this framework the Golden Rule Of Bond Investing, and we demonstrated its effectiveness in the U.S. Bond Strategy Special Report, “The Golden Rule Of Bond Investing”, dated July 24, 2018, available at usbs.bcaresearch.com. Chart 11 illustrates the Golden Rule’s track record by showing that the Bloomberg Barclays Treasury Master Index tends to outperform cash when rate hikes fall short of 12-month expectations, and vice-versa. At present, the market is priced for 25 basis points of cuts during the next 12 months. We do not anticipate any rate cuts during this timeframe, and therefore recommend that investors maintain below-benchmark portfolio duration. Chart 11The Golden Rule's Track Record We can also use our Golden Rule framework to make 12-month total return and excess return forecasts for the Bloomberg Barclays Treasury index under different scenarios for the fed funds rate. Excess returns are relative to the Bloomberg Barclays Cash index. To forecast total returns we first calculate the 12-month fed funds rate surprise in each scenario by comparing the assumed change in the fed funds rate to the current value of our 12-month discounter. This rate hike surprise is then mapped to an expected change in the Treasury index yield using a regression based on the historical relationship between those two variables. Finally, we apply the expected change in index yield to the current characteristics (yield, duration and convexity) of the Treasury index to estimate total returns on a 12-month horizon. The below tables present those results, along with 95% confidence intervals. Excess returns are calculated by subtracting assumed cash returns in each scenario from our total return projections. Appendix B - Butterfly Strategy Valuation The following tables present the current read-outs from our butterfly spread models. We use these models to identify opportunities to take duration-neutral positions across the Treasury curve. The following two Special Reports explain the models in more detail: U.S. Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com U.S. Bond Strategy Special Report, “More Bullets, Barbells And Butterflies”, dated May 15, 2018, available at usbs.bcaresearch.com Table 4 shows the raw residuals from each model. A positive value indicates that the bullet is cheap relative to the duration-matched barbell. A negative value indicates that the barbell is cheap relative to the bullet. Table 4Butterfly Strategy Valuation: Raw Residuals In Basis Points (As of April 30, 2019) Table 5 scales the raw residuals in Table 4 by their historical means and standard deviations. This facilitates comparison between the different butterfly spreads. Table 5Butterfly Strategy Valuation: Standardized Residuals (As of April 30, 2019) Table 6 flips the models on their heads. It shows the change in the slope between the two barbell maturities that must be realized during the next six months to make returns between the bullet and barbell equal. For example, a reading of +56 bps in the 5 over 2/10 cell means that we would only expect the 5-year to outperform the 2/10 if the 2/10 slope steepens by more than 56 bps during the next six months. Otherwise, we would expect the 2/10 barbell to outperform the 5-year bullet. Table 6Discounted Slope Change During Next 6 Months (BPs) Appendix C - Excess Return Bond Map The Excess Return Bond Map is used to assess the relative risk/reward trade-off between different sectors of the U.S. fixed income market. The Map employs volatility-adjusted breakeven spread analysis to show how likely it is that a given sector will earn/lose money during the subsequent 12 months. The Map does not incorporate any macroeconomic view. The horizontal axis of the Map shows the number of days of average spread widening required for each sector to lose 100 bps versus a position in duration-matched Treasuries. Sectors plotting further to the left require more days of average spread widening and are therefore less likely to see losses. The vertical axis shows the number of days of average spread tightening required for each sector to earn 100 bps in excess of duration-matched Treasuries. Sectors plotting further toward the top require fewer days of spread tightening and are therefore more likely to earn 100 bps of excess return.   Ryan Swift, U.S. Bond Strategist rswift@bcaresearch.com Jeremie Peloso, Research Analyst jeremiep@bcaresearch.com Footnotes 1 For further details on how we arrive at our spread targets please see U.S. Bond Strategy Weekly Report, “Paid To Wait”, dated February 26, 2019, available at usbs.bcaresearch.com 2 For further details on how we arrive at our spread targets please see U.S. Bond Strategy Weekly Report, “Paid To Wait”, dated February 26, 2019, available at usbs.bcaresearch.com 3 Please see U.S. Bond Strategy Special Report, “Assessing Corporate Default Risk”, dated March 19, 2019, available at usbs.bcaresearch.com 4 Please see U.S. Bond Strategy Weekly Report, “A High Bar For Rate Cuts”, dated April 30, 2019, available at usbs.bcaresearch.com 5 Please see Emerging Markets Strategy Special Report, “Mexico: The Best Value In EM Fixed Income”, dated April 23, 2019, available at ems.bcaresearch.com 6 Please see U.S. Bond Strategy Weekly Report, “Full Speed Ahead”, dated April 16, 2019, available at usbs.bcaresearch.com 7 Corporate tax revenue is not released until the second GDP estimate. We assume that the 2019 Q1 value equals the 2018 Q4 value. 8 Please see U.S. Bond Strategy Weekly Report, “Paid To Wait”, dated February 26, 2019, available at usbs.bcaresearch.com 9 Please see U.S. Bond Strategy Weekly Report, “The New Battleground For Monetary Policy”, dated March 26, 2019, available at usbs.bcaresearch.com 10 Please see U.S. Bond Strategy Weekly Report, “The Search For Aaa Spread”, dated March 12, 2019, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation

Highlights In Indonesia, investors are ignoring the weakness in global growth, which is an important driver of the country’s financial markets. The Indonesian currency, equities and local currency bonds all remain vulnerable. We continue to recommend underweighting Indonesian assets for now. In Turkey, additional adjustments in the exchange rate and interest rates are unavoidable. Stay put/underweight Turkish financial markets. In the UAE, the economy is set to improve marginally this year. We recommend overweighting UAE equities and corporate spreads within their respective EM portfolios. Feature Indonesia: The Currency And Bank Stocks Are At Risk  Indonesian financial assets have benefited from the Federal Reserve’s dovish turn and corresponding fall in U.S. bond yields (Chart I-1, top panel). Moreover, the market is cheering President Joko Widodo’s lead in the presidential vote tally. Yet investors are ignoring the budding weakness in industrial metals prices, which has historically been an important driver of Indonesia’s exchange rate (Chart I-1, middle panel). Going forward, the Indonesian currency, equities and local currency bonds all remain vulnerable: Falling global growth in general and Chinese imports in particular will intensify Indonesia’s exports contraction and worsen the country’s already wide current account deficit. In turn, the latter will induce currency depreciation, which will then lead to higher interbank rates (Chart I-2). Chart I-1Global Growth Matters For Indonesian Markets Chart I-2Falling Current Account Deficit = Higher Local Rates Upward pressure on local interbank rates will cause a slowdown in domestic private loan growth.   The Indonesian central bank – Bank Indonesia (BI) – has been attempting to lower interbank rates, which have been hovering above the central bank's policy rate (Chart I-3). To achieve this, the central bank has substantially increased excess reserves in the banking system (Chart I-4). It has done so by purchasing central bank certificates from commercial banks, conducting foreign exchange swaps and providing repo lending. Chart I-3A Sign Of Liquidity Strains Chart I-4Bank Indonesia Is Injecting Liquidity   Yet by expanding banking system liquidity so aggressively, BI risks renewed currency depreciation. Like any central bank in a country with an open capital account, BI cannot expect to have full control over the exchange rate while simultaneously targeting local interest rates. The Impossibly Trinity dilemma dictates that a central bank needs to choose between controlling the two. Yet investors are ignoring the budding weakness in industrial metals prices, which has historically been an important driver of Indonesia’s exchange rate. Therefore, if BI continues to inject local currency liquidity to cap or bring down interest rates (interbank rates), the resulting excess liquidity could encourage and facilitate speculation against the rupiah. Scratching below the surface, the recent strong outperformance of Indonesian equities has been entirely due to the surge in the country’s bank share prices (Chart I-5, top panel). Remarkably, the performance of Indonesian non-financial as well as small-cap stocks has been especially dismal (Chart I-5, middle and bottom panels). This is an upshot of poor profitability among Indonesia’s non-financial listed companies (Chart I-6). Chart I-5Indonesian Bank Stocks Are The Only Outperformers Chart I-6Falling Non-Financial Corporate Profitability Furthermore, deteriorating financial health of non-financial corporates, especially small companies, will lead to higher NPLs on banks’ books. Notably, Indonesian banks are more heavily exposed to businesses than to households. As NPLs rise anew, Indonesian commercial banks will need to lift their bad-loan provisioning levels, generating a major profit relapse (Chart I-7). Importantly, Indonesian commercial banks have been boosting their profits by reducing NPL provisions since early 2018. Reversing this will materially affect their earnings. Chart I-7Indonesian Bank Share Prices Are Vulnerable Additionally, bank stocks are vulnerable due to falling net interest income margins. Moreover, their share prices are overbought and not cheap. To be clear, we are not negative on Indonesia’s structural outlook. The above-mentioned alarms are more near-to-medium terms issues. Still, foreign ownership of local currency bonds and stocks – at 38% each – are high, and could be a major source of potential outflows if the rupiah depreciates. This would cause Indonesian stocks and local currency bonds to sell off severely. Bottom Line: The global growth slowdown/commodities downturn and the U.S. dollar upturn are not yet over. Consequently, foreign flows into EM will diminish, which will be particularly negative for Indonesian financial markets. We recommend investors continue underweighting Indonesian equities and avoid Indonesian local currency bonds for now. We continue to recommend a short position in the IDR versus USD. Ayman Kawtharani, Associate Editor ayman@bcaresearch.com Turkey’s Foreign Debt Bubble: The Worst Is Not Yet Behind Us Turkish financial assets, and the currency especially, will remain under selling pressure in the coming months. Additional adjustments in the exchange rate and interest rates - as well as in the real economy and current account balance - appear unavoidable. The key imbalance remains the gap between foreign debt obligations (FDOs) and the availability of foreign currency to meet these debt obligations. Turkey’s FDOs in 2019 are equivalent to $180 billion (Chart II-1). FDOs measure the sum of short-term claims, interest payments and amortization over the next 12 months. This consists of $15 billion in interest payments, $65 billion in debt amortization and $100 billion in maturing short-term (under one year) claims. In theory, these debt obligations can either be rolled over, or the nation should generate current account and capital account surpluses and use these surpluses to pay down FDOs. Even though the current account deficit is shrinking, it is still in a deficit of $18 billion. Net FDI inflows remain weak at US$10 billion. Hence, it appears that Turkey’s only options are either to roll over maturing foreign currency debt or to lure foreign investors into local currency assets and use the surplus in net portfolio inflows to meet these FDOs. The central bank’s foreign currency reserves excluding both commercial banks’ deposits at the Central Bank of Turkey and FX swaps now stand at $13 billion. However, due to a lack of credibility in the Turkish government’s macro policies - in addition to the ongoing deep economic recession and heightened financial market volatility - external creditors will be unwilling to roll over the debt. In fact, net portfolio flows into government debt and equities have tumbled for the same reason. Typically, when foreign funding dries up temporarily, a country can use its foreign exchange reserves to meet its FDOs. However, Turkey’s foreign exchange reserves have already plummeted to extremely low levels (Chart II-2). The central bank’s foreign currency reserves excluding both commercial banks’ deposits at the Central Bank of Turkey and FX swaps now stand at $13 billion. This is negligible compared with the $180 billion FDO figure due in 2019. Chart II-1Turkey: A Large Foreign Debt Servicing Burden Chart II-2Foreign Exchange Reserves Are Too Small   The recent plunge in the central bank’s net foreign exchange reserves excluding swaps (i.e. net international reserves) has put many pertinent metrics at record lows. In particular, net international reserves are at a precarious level relative to both total imports and external debt (Chart II-3). Finally, the net international reserves-to-broad money supply ratio has fallen to 7% (from 15% in 2014) despite the fact that the massive lira depreciation reduced the U.S. dollar measure of broad money supply (Chart II-4). Chart II-3FX Reserves Do Not Cover Imports Or External Debt Chart II-4Low Coverage Of Broad Money By International Reserves The currency will have to depreciate further and interest rates will have to move higher to shrink domestic demand/imports more. This is needed to generate a current account surplus that could be used to service FDOs, or that otherwise entices foreign creditors to be willing to roll over foreign debt or invest in Turkey. Finally, while the adjustment in the real economy is advanced, it is unlikely to be over, due to the large foreign debt bubble. Importantly, with large foreign and local currency debt obligations coming due for both companies and households - in addition to the deterioration in economic activity and higher interest rates - NPLs are bound to rise (Chart II-5). This is especially likely to occur because a lot of borrowing has been used in the property market both for construction and purchases. Notably, real estate volumes are shrinking, and prices are deflating in real terms (Chart II-6). Chart II-5NPLs Will Rise A Lot Chart II-6Turkey: Real Estate Is In Free Fall     Bottom Line: The macro adjustment in Turkey is not yet complete. The country still lacks foreign currency supply to service its enormous 2019 FDOs. Further currency depreciation and higher interest rates are required to depress domestic demand/imports and push the current account into surplus. Stay put / underweight Turkish financial markets. The authorities are becoming desperate, and the odds of capital control enforcement are not negligible. While such an outcome is not possible to forecast with any certainty or time frame, investors should consider this very real risk. Andrija Vesic, Research Analyst andrijav@bcaresearch.com Overweight UAE Equities And Corporate Bonds Over the next six to nine months, we believe both UAE equities and corporate spreads will outperform their respective emerging market (EM) benchmarks. The UAE economy is set to improve marginally this year (Chart III-1). It will benefit from expansionary fiscal policy, rising oil output, a buoyant tourism sector, a resilient banking sector and less of a drag from the real estate sector. First, sizable fiscal spending will lead to rising non-oil economic growth. The UAE’s federal budget spending for 2019 will increase by 17.3% from a year ago, much higher than the 5.5% year-on-year growth in 2018. Second, UAE oil output could increase by 15% later this year from current levels (Chart III-2). The U.S. announced on April 22 that all Iran sanction waivers will not be extended beyond the early-May expiration date. The U.S. administration also stated that it has secured pledges from Saudi Arabia and the UAE to increase their oil production in order to offset disrupted supply from Iran. Rising oil output will mitigate the negative impact of potentially lower oil prices on the UAE’s economy. Chart III-1Improving UAE Economy Chart III-2Rising Oil Output   Third, the outlook for the tourism sector is also positive. The number of tourists is set to rise as Expo 2020 approaches. The government is targeting 20 million visitors in 2020, 26% higher than last year’s levels. The UAE is building theme parks, museums, hotels and infrastructure to attract more tourists. The UAE economy is set to improve marginally this year. Fourth, the UAE’s banking sector will enjoy rising credit growth, robust profitability and improved asset quality this year. The banking system has been in consolidation mode since January 2016, with a 15% reduction in branches and a 14% drop in the number of employees. This has improved the banking sector’s profitability by cutting operating costs and increasing efficiency. The improving growth outlook will lift credit growth. The central bank’s most recent Credit Sentiment Survey suggests banks’ lending standards for both business and personal loans are loosening (Chart III-3). In addition, UAE banks enjoy large capital buffers. Despite rising non-performing loans (Chart III-4), UAE banks still reported a Tier-1 capital adequacy ratio of 17% as of December 2018. Chart III-3Credit Growth Is Likely To Increase Chart III-4Rising NPLs, But Still Large Capital Buffers   Lastly, the real estate markets in both Dubai and Abu Dhabi have suffered from oversupply (from both mushrooming supply and weaker demand) over the past several years. Property prices have already fallen over 20% in both Dubai and Abu Dhabi from their 2014 peaks (Chart III-5). Odds are high that the most dangerous phase of the property market downturn is behind us. Chart III-5Real Estate Adjustment Is Advanced In addition, the government’s efforts to attract people to stay in the country longer will somewhat offset the ongoing exodus of expatriates. Last May, the UAE introduced a new visa system that will allow investors, innovators and talented specialists in the medical, scientific, research and technical fields to stay in the country for up to 10 years. Overall, a potential bottom in property demand and restrained supply will likely make the real estate sector less of a drag on this bourse this year. Finally, the authorities are also more open to increasing the foreign ownership cap in the banking sector, albeit not up to 100%. For example, in early April, the largest UAE lender – First Abu Dhabi Bank – obtained regulatory approval to increase its foreign ownership limit to 40% from 25%. This has boosted foreign equity purchases and has supported the equity index. Bottom Line: We recommend an overweight position in UAE equities within an EM portfolio this year (Chart III-6). For fixed income investors, we recommend overweighting UAE corporate credit in an EM corporate credit portfolio. UAE corporate credit is a lower beta market and will outperform as EM corporate spreads widen (Chart III-7). Most UAE-dollar corporate bonds have been issued by banks. Banks in the UAE do not suffer from structural overhangs, and the cyclical downturn in the property market is well advanced. This is why they have been, and will remain, a lower beta sector within an EM corporate credit portfolio. Chart III-6Overweight UAE Equities Within An EM Portfolio Chart III-7UAE Corporate Credit Will Likely Outperform EM Benchmark   Ellen JingYuan He, Associate Vice President ellenj@bcaresearch.com Footnotes Equity Recommendations Fixed-Income, Credit And Currency Recommendations

Highlights Oil & Bond Yields: Global growth indicators are starting to rebound, risk assets have returned to previous cyclical highs, and oil prices remain buoyant. This is a combination that will eventually result in rising global bond yields, but more through higher inflation expectations that will bear-steepen yield curves. Stay below-benchmark on overall portfolio duration, but enter new reflationary trades in core Europe (long inflation breakevens) and Australia (yield curve steepeners). EM vs DM Credit: Signs of a pickup in Chinese growth will be more supportive for growth in EM economies. Hedging against an extended downturn in China is no longer needed. Upgrade EM U.S. dollar denominated sovereign and corporate debt to neutral (3 of 5), at the expense of a smaller overweight position in U.S. investment grade corporates. Feature Chart of the WeekA Consistent Message On Rebounding Growth Evidence is starting to point to a bottoming in global economic momentum. Credit growth has notably picked up in China, global leading economic indicators are stabilizing and sentiment measures like our Duration Indicator have started to climb (Chart of the Week). While it is still early in this reflation process, the leading data is now moving in a direction that bodes well for continued gains in global equities and growth-sensitive spread product. The sharp rallies across risk assets seen so far this year have merely retraced the stinging losses incurred in the final months of 2018. Those moves were fueled by a combination of slowing global growth and overly hawkish central bankers. Now that policymakers have “course corrected” towards dovishness, led by the Fed’s 180-degree turn on the outlook for rate hikes in 2019 that drove U.S. Treasury yields lower, the next leg of the risk rally can begin, led by improving global growth. At some point, looser financial conditions – higher equity prices, tighter credit spreads and lower market volatility – will require global central bankers to retreat from dovish forward guidance (Chart 2). Policymakers who have been focused on sluggish global growth, “persistent uncertainty” (as ECB President Mario Draghi has described it), and falling inflation expectations will eventually have to adjust their policy bias once those factors reverse. On that front, the combination of improving global growth, rising oil prices and an increasingly likely U.S.-China trade deal will help boost global bond yields through rising inflation expectations first and higher interest rate expectations later (Chart 3). Chart 2A Full Unwind Of Late-2018 Moves...Except For Inflation Chart 3Get Ready For A Bond-Bearish Turn In Growth We continue to recommend a high-level fixed income portfolio construction that will benefit from these trends: below-benchmark on overall duration exposure with overweights on global corporate debt versus government bonds. We also see a case to selectively position for steeper yield curves and higher inflation expectations in countries more sensitive to higher oil prices and where central banks will be less hawkish/more dovish. Most importantly, we no longer see a need to maintain a defensive underweight in emerging market (EM) hard currency spread product, as we discuss later in this report. Yes, Oil Prices Still Matter For Bond Yields Global oil prices hit a new 2019 high last week on news that the Trump administration was letting waivers expire on U.S. sanctions of Iranian oil exports. Coming on top of the lost output from Venezuela, increased tensions in Libya and persistent production discipline from the major oil players (OPEC, the so-called “OPEC 2.0” of Russia and Saudi Arabia, and even U.S. shale producers), a boost to global oil demand from faster global growth is likely to result in even higher oil prices in the next 6-9 months. The combination of improving global growth, rising oil prices and an increasingly likely U.S.-China trade deal will help boost global bond yields. Our colleagues at BCA Commodity & Energy Strategy remain steadfast bulls on oil prices, with a year-end price target of $80/bbl on the Brent crude benchmark. They view the supply constraints as large and persistent enough to cause oil prices to continue rising alongside firmer global demand. Our most optimistic forward-looking growth indicator, the diffusion index of global leading economic indicators, is now calling for a sharp rebound in cyclical data like the global manufacturing PMI in the latter half of 2019. A move back to the 55-60 range for the global PMI, which the diffusion indicator is pointing towards (Chart 4, bottom panel), would be consistent with the +50% year-over-year growth rates in oil prices implied by BCA’s bullish oil forecasts (middle panel). Chart 4The 2019 Oil Rally Is Not Over Yet Over the past several years, there has been a strong correlation between oil prices and government bond yields in most developed economies (Chart 5). Since the most recent bottom in global yields back on March 27, that behavior has persisted. Longer-term bond yields have risen more than shorter-dated yields, alongside higher inflation expectations further out the yield curve (Table 1). Chart 5Inflation Expectations Still Driving Bond Yields Such “bear-steepenings” do not usually last for long periods of time. Inflation targeting central banks typically look at the reflationary implications of higher oil prices – faster economic growth with more future inflation as energy costs seep into core inflation measures – as a sign to maintain a more hawkish bias for monetary policy. That is not the case today, though, as data dependent central bankers have been more focused on past soft readings on both growth and inflation momentum. This should support a growth-driven rise in global oil prices in the coming months, as policymakers will be reluctant to alter the current dovish guidance without signs of both faster growth and higher realized inflation. Within the major developed markets, the recent correlations between oil prices (in local currency terms) and inflation expectations have been weakest in regions where central banks are most likely to keep policy interest rates stable. In the euro area, Japan and Australia – where core inflation rates are well below central bank targets and money markets are discounting flat-to-lower interest rate expectations over the next 1-2 years – market-based measures of inflation expectations like CPI swap rates have diverged from the rising path of local-currency denominated oil prices (Chart 6). In the U.S. and Canada, which have only recently paused their rate hike cycles, the correlation between oil prices and inflation expectations has been a bit more in line with the experience of the past several years. The same goes for the U.K., although inflation expectations there seem more driven by currency weakness stemming from the Brexit uncertainty rather than a central bank that is perceived to be too hawkish (even though the Bank of England only recently shifted away from its past language signaling a desire to start normalizing very low interest rates). Table 1A Reflationary Bear-Steepening Of Yield Curves Since Yields Troughed In March Correlations between longer-term inflation expectations and the slopes of government bond yield curves have also become less consistent across countries (Chart 7). In particular, 2-year/10-year yield curves been more positively correlated to inflation expectations in the euro zone, Australia and even Japan (where the BoJ is actively targeting the yield curve) than in the U.S., U.K. and Canada. Chart 6Higher Oil, Higher Inflation Expectations Chart 7Position For Reflationary Yield Curve Steepening Given BCA’s bullish oil forecast, we recommend positioning for higher inflation expectations and steeper yield curves in selected countries based on the above correlations. We are already doing this in the U.S., where we are running a long position in U.S. 10-year TIPS breakevens. This week, we are entering the following new positions in our Tactical Trade portfolio (see page 15): Long 10-year CPI swaps (or inflation-linked bonds versus nominal debt) in Germany A 2-year/10-year government bond curve steepener in Australia We are not confident enough about the growth outlook in Canada and Japan, and the political outlook in the U.K., to recommend inflation-focused trades in those markets at the present time. We recommend positioning for higher inflation expectations and steeper yield curves in selected countries. Bottom Line: Global growth indicators are starting to rebound, risk assets have returned to previous cyclical highs, and oil prices remain buoyant. This is a combination that will eventually result in rising developed market global bond yields, but more through higher inflation expectations that will bear-steepen yield curves. Stay below-benchmark on overall portfolio duration, but enter new reflationary trades in core Europe (long inflation breakevens) and Australia (yield curve steepeners). Upgrade EM U.S. Dollar Denominated Debt To Neutral Chart 8A Cyclical Rebound In China Is Underway Back in January, we upgraded our recommended allocation for global corporate debt to overweight, while downgrading developed market government bonds to underweight.1 That decision was in response to the Fed’s dovish turn, which lowered the risk of a monetary policy-induced U.S. recession that spooked investors in late 2018. Yet while a more accommodative Fed meant an extension of the U.S. business cycle expansion, it did not solve the problems of slowing growth elsewhere in the world – most notably in China and Europe. For that reason, we have maintained a preference for U.S. investment grade and high-yield corporate debt relative to European and EM spread product, even within an overall overweight recommended allocation to global corporates. In particular, we maintained an outright underweight stance on EM U.S. dollar denominated sovereigns and corporates within our model bond portfolio. That tilt served as a hedge to the risk of persistent softening growth in China – the nation to which EM economies remain most highly levered. It is the pickup in the China credit impulse that is most relevant for EM growth and asset markets. Now, amid signs that Chinese policy stimulus is starting to show up in faster credit growth – a reliable precursor to greater Chinese domestic demand (Chart 8) – that EM hedge to our overweight stance on global corporates is no longer needed. Thus, this week, we are upgrading our recommended exposure on EM USD-denominated sovereign and corporate debt to neutral, while reducing the size of our recommended overweight in U.S. investment grade corporates in our model bond portfolio (see the changes on page 14). The broadening rebound in Chinese economic data makes us more confident that growth there has turned the corner (Chart 9): Aggregate government spending is up 15.5% on a year-over-year basis. Infrastructure spending is now starting to grow again after the sharp slowdown seen in 2018. The China manufacturing PMI rose sharply in March, with the surge in the import sub-component of the overall PMI suggesting that domestic demand may be improving. In addition, with all signals pointing to a U.S./China trade deal being signed by the end of May, a major source of uncertainty weighing on the Chinese (and global) economy will soon be lifted. It is the pickup in the China credit impulse that is most relevant for EM growth and asset markets. Over the past decade, the credit impulse has led both the EM (ex-China) manufacturing PMI and annual growth in overall EM corporate earnings by around 9-12 months (Chart 10). The credit impulse bottomed back in October 2018, which means EM growth should begin to improve in the third quarter of 2019. Financial markets will discount that improvement in advance, however, which is why it makes sense to increase EM credit allocations today. Chart 9The Arrows Are Pointing 'Up' For Chinese Growth Chart 10EM Growth Is Highly Dependent On China   As can be seen in the bottom panels of Chart 11 and Chart 12, there is a strong correlation between Chinese credit (as a % of GDP) and the relative performance of EM U.S. dollar denominated spread product versus U.S. investment grade corporates. Our colleagues at BCA China Investment Strategy recently noted that if the pace of China’s credit expansion seen in Q1 were to be maintained over the rest of 2019, this would imply a credit overshoot beyond the stated medium-term goal of Chinese policymakers to avoid significant further increases in leverage.2 Such additional stimulus would very beneficial for EM growth (via strong Chinese import demand), supporting continued EM credit market outperformance. Chart 11Upgrade EM USD Sovereigns Vs U.S. IG Corporates Chart 12Upgrade EM USD Corporates Vs U.S. IG Corporates By moving our EM credit allocation only to neutral, we are merely responding to the pickup in Chinese credit growth seen over the past several months. The increasingly positive cyclical story is not yet bullish enough to justify a full-blown overweight stance on EM credit, however, for several reasons: Past periods of EM credit market outperformance have typically occurred during periods of U.S. dollar weakness. Chart 13A Weaker USD Is Good For EM Markets The amount of policy stimulus likely to be delivered in China in 2019 will be more limited than in past cycles, given policymakers’ concerns over high Chinese debt levels and excess industrial capacity. A U.S.-China trade deal may not involve the swift reduction in U.S. tariffs on Chinese imports, if the White House chooses to use tariffs as the mechanism to ensure Chinese compliance with the terms of an agreement. “Hard data” in China that measures private sector spending (retail sales, autos sales, etc.) has yet to bottom, which may indicate that the improvement seen in the credit aggregates and survey data like the manufacturing PMI is overstating the growth rebound. The U.S. dollar remains firm, and past periods of EM credit market outperformance have typically occurred during periods of dollar weakness (Chart 13). We do anticipate moving to an overweight position sometime in the next several weeks, after getting more Chinese economic data to confirm the improvement seen in March. This also lines up with the timetable for a potential trade deal, the details of which will be critical for boosting investor sentiment towards assets sensitive to Chinese demand, like EM credit. We will also look for signs of the U.S. dollar breaking to the downside to confirm any decision to upgrade EM credit. One final point – we are only reducing our recommended overweight on U.S. investment grade credit in our model bond portfolio as part of this EM upgrade. We are leaving our U.S. high-yield credit overweights untouched, as U.S. investment grade is much closer to the spread targets laid out by our colleagues at BCA U.S. Bond Strategy than U.S. high-yield. Bottom Line: Signs of a pickup in Chinese growth will be more supportive for growth in EM economies. Hedging against an extended downturn in China is no longer needed. Upgrade EM U.S. dollar denominated sovereign and corporate debt to neutral (3 of 5), at the expense of a smaller overweight position in U.S. investment grade corporates.   Robert Robis, CFA, Chief Fixed Income Strategist rrobis@bcaresearch.com   Footnotes 1 Please see BCA Global Fixed Income Strategy Weekly Report, “Enough With The Gloom: Upgrade Global Corporates On A Tactical Basis”, dated January 15th, 2019, available at gfis.bcaresearch.com. 2 Please see BCA China Investment Strategy Weekly Report, “In The Wake Of An Upgrade: An Investment Strategy Post-Mortem”, dated April 17th, 2019, available at cis.bcaresearch.com. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns

Highlights We continue to recommend overweighting Mexican local fixed-income markets, the peso and sovereign credit relative to their respective EM benchmarks. A new trade: Sell Mexican CDS / buy Brazilian and South African CDS. Continue holding the long MXN / short ZAR position. We have a lower conviction view that Mexican equities will outperform the EM benchmark. Feature Since the election of Andrés Manuel López Obrador – or AMLO, as he is commonly known – as President, investors have been worrying about Mexico’s fiscal policy and public debt sustainability. Specifically, investors have expressed concern over the debt dynamics of state-owned petroleum company Pemex and its impact on the country’s public debt. While these concerns are not groundless, on balance we find the risk-reward profile of Mexico’s sovereign credit and local currency bonds superior relative to their respective EM peers. Fiscal Sustainability: A Comparative Analysis We discussed debt sustainability in Brazil and South Africa in two of our recent reports, and concluded that their public debt dynamics are unsustainable without drastic fiscal reforms. However, a closer look at debt sustainability in Mexico reveals a different picture. Chart 1Public Debt Burden Including SOE Debt Mexico’s public debt level including the debt of state-owned enterprises is lower than those in Brazil and South Africa (Chart 1). Notably, Mexico’s public debt-to-GDP ratio has been flat over the past three years. Importantly, as detailed below, the two primary conditions for public debt sustainability – the level of government borrowing costs and the primary fiscal balance - are far superior in Mexico relative to Brazil and South Africa. Government borrowing costs in local currency terms are only slightly above nominal GDP in Mexico. Brazil and South Africa score much worse on this measure (Chart 2). The primary fiscal balance in Mexico is much better than in Brazil and South Africa (Chart 3). In fact, Mexico is targeting a primary surplus of 1% for 2019. Chart 2Local Borrowing Costs Versus Nominal GDP Chart 3Primary Fiscal Balances Even with potential pension reforms, Brazil will continue to run primary deficits for the next few years. As we discussed in our recent report on Brazil, the government’s submitted draft on social security reforms will save only BRL190 billion over the next four years, or 0.7% of GDP per year. The current primary deficit is 1.5% of GDP. Unless nominal GDP growth and government revenue growth shoot up, the primary deficit will not be eliminated in the next four years. Unlike Brazil and South Africa, the growth of public sector debt in Mexico is not outpacing nominal GDP growth (Chart 4). Critically, the latter point is also true in Mexico if one includes state-owned enterprises’ debt. Brazil and South Africa sovereign spreads are currently only 40 and 85 basis points above those in Mexico, respectively. The spread will widen further in favor of Mexico, given the latter’s superior fundamentals (Chart 5). In terms of local currency bonds, real yields in Mexico are also on par with Brazil but are well above those in South Africa (Chart 6). Hence, Mexican local bonds offer relative value versus many of their EM peers. Chart 4Public Debt and GDP Growth Chart 5Sell Mexican CDS / Long South African and Brazilian CDS             Nominal local currency bond yields in Mexico are about 200 basis points above the EM GBI benchmark domestic bond yield index (Chart 7). This is great value. Clearly, Mexico’s fiscal worries are overblown relative to those in Brazil and South Africa. Besides, relative valuations of sovereign credit and local bonds adjusted for relative fundamentals warrant outperformance in Mexico versus the other two markets as well as against the respective EM benchmarks in the months ahead. Chart 6Real Bond Yields: Decent Value In Mexico Chart 7Nominal Bond Yields: Great Value In Mexico In addition, AMLO’s administration has proven to be committed to fiscal austerity. Last month, the Ministry of Finance reinforced this notion by announcing a reduction in public spending on social programs in order to balance the loss of fiscal revenue from decreasing oil revenues and lower GDP estimates. Mexico’s fiscal worries are overblown relative to those in Brazil and South Africa. Besides, relative valuations of sovereign credit and local bonds adjusted for relative fundamentals warrant outperformance in Mexico versus the other two markets as well as against the respective EM benchmarks in the months ahead. We view the primary fiscal target of 1% for 2019 as aggressive and potentially unattainable due to a shortfall in revenues. However, these actions prove that AMLO’s administration is not intending to run a large fiscal deficit to finance populist spending programs, as investors had feared. Adding Pemex To Public Finances Pemex’s financial position and the government budget’s reliance on oil revenues are an Achilles’ heel for Mexico’s public finances. Therefore, we have incorporated Pemex into the budget. The resulting fiscal deterioration is not calamitous. Specifically, international credit agencies estimate that Pemex needs an additional $13 billion to $20 billion in capital expenditures per year in order to maintain current operations and replenish reserves. This is in addition to its debt service obligations in the coming years, as shown in Table 1. Table 1Pemex Debt Servicing We have the following considerations on this issue: First, this year the government announced $5.7 billion of financing for Pemex in the form of direct investment, tax breaks, deductions for drilling and exploration costs and revenue recovered from oil theft. In addition, the government will also do a one-time transfer of $6.8 billion from its $15.4 billion budget stabilization fund in order to finance Pemex’s debt payments due by the end of this year. While Congress must first approve the use of these funds, odds are that the bill will pass as AMLO’s party holds a majority. That would bring total capital injection into Pemex to $12.5 billion for the year, almost enough to finance the company’s capital spending this year. Second, in order to revive operations at Pemex in the medium to long term, the government must maintain this level of investment on an annual basis. Essentially, AMLO’s administration will inevitably have to sacrifice part of the $29 billion in net oil transfers it receives every year to finance the oil company and prevent further downgrades to its credit rating. How large is this required Pemex financing as a share of the public budget? We performed a simulation including into the public budget all of Pemex’s payments and all its receipts from the government. While the overall fiscal position deteriorates, it is not unsustainable. The primary and overall deficits would widen to 1.9% and 4.4% of GDP, respectively, if the government eliminates all transfers to Pemex and if the company stops all payments to the government budget, including direct transfers and indirect oil taxes1 (Table 2, Scenario 1). Table 2Mexico: Pemex And Government Budget In such a scenario, Pemex would gain $ 29 billion each year to invest in exploration and production. Pemex is the largest fiscal challenge for Mexico. Yet, even including Pemex debt and required financing, the nation’s fiscal accounts are not worrisome. Chart 8Mexico's Budget Balance Adjusted For Financing To Pemex Third, provided Pemex’s capital spending needs could be met by half of this $29 billion, the government could provide the company just half of this amount (Table 2, Scenario 3). In this scenario, the oil company will have sufficient funds to invest. Meanwhile, the government’s primary and overall fiscal deficit will deteriorate only moderately to 0.7% and 3.2% of GDP, respectively (Chart 8 and Table 2). Finally, the importance of oil revenues – both directly from Pemex and via indirect taxation on the oil industry – have already declined as a share of total fiscal revenues – from 40% in 2012 to 18.3% currently (Chart 9). In short, Mexico’s budget is less reliant on oil revenues. If economic growth picks up, non-oil revenues will improve. Consequently, the government’s fiscal position will improve, giving it more maneuvering room to deal with Pemex. Bottom Line: Pemex is the largest fiscal challenge for Mexico. Yet, even including Pemex debt and required financing, the nation’s fiscal accounts are not worrisome. Cyclical Economic Conditions The Mexican economy is slowing and inflationary pressures are subsiding. Narrow money (M1) and retail sales growth are decelerating (Chart 10, top panel) Capital spending is contracting and non-oil exports will be in a soft spot over the next six months, according the U.S. manufacturing ISM new orders-to-inventory ratio (Chart 10, bottom panel). Core inflation is at 3.55% and is heading south. Chart 9Dependence On Oil Revenues Has Declined A Lot Chart 10Mexico: Cyclical Conditions   Barring major turmoil in EM currency markets that weighs on the peso, weakening growth and disinflation will lead the domestic fixed-income market to discount rate cuts. Mexico’s central bank is very hawkish and will be slow to ease policy. Yet, such a policy stance warrants a bullish view on domestic bonds. The basis is that the longer they delay rate cuts, the more they will need to cut in the future. Investment Strategy We have been recommending an overweight position in Mexico in EM local currency and sovereign credit portfolios, and are reiterating these strategies. Relative value investors should consider this trade: Sell Mexico CDS / buy Brazilian and South African CDS. The Mexican sovereign credit market has made a major bottom versus the EM benchmark and the path of least resistance is now up (Chart 11). EM local currency bond portfolios should continue overweighting Mexico while underweighting Brazil and South Africa (Chart 12). Chart 11Sovereign Excess Returns: A Relative Bull Market In Mexico Chart 12Total Return on Local Currency Bonds in Dollar Terms Similarly, among EM currencies, we favor the Mexican peso because it is cheap (Chart 13). Specifically, we continue to hold the long MXN / short ZAR position; investors who are not yet in this trade should consider entering it now. Chart 13The Mexican Peso Is Cheap Finally, in the EM equity universe, we are overweight Mexican stocks, but our conviction level is lower than in the case of fixed-income markets. The basis is that AMLO’s policies intend to weaken oligopolies and monopolies and undermine their pricing power. These policies are very positive for fixed-income markets and the exchange rate in the long run, as they entail lower inflation resulting from a more competitive environment. Yet, they could hurt profits of incumbent monopolies and oligopolies. This is why we recommend equity investors focus on Mexican small-caps. That said, from a macro perspective, resulting disinflation and lower local rates are also positive for equity multiples. Hence, the Mexican stock market will also likely outperform the EM benchmark in common currency terms.   Arthur Budaghyan Chief Emerging Markets Strategist arthurb@bcaresearch.com Juan Egaña, Research Associate juane@bcaresearch.com     Footnotes 1 Indirect oil taxation includes different taxes for the oil fund for stabilization and development, such as rights on drilling and exploration, import and export duties on oil and gas and financing for oil and gas research.