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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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 Volatility Is Easier To Forecast Than Returns Volatility 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 Yield Curves Yield Curves Chart 3Credit Spreads & Default Rates Credit Spreads & Defaykt Rates Credit Spreads & Defaykt 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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) Productivity Growth (I) Productivity Growth (I) Chart 4BProductivity Growth (II) Productivity Growth (II) Productivity 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 Shiller PE Vs. 10-Year Return Shiller PE Vs. 10-Year Return Chart 6Composite Valuation Vs. 10-Year Return Composite Valuation Vs. 10-Year Return Composite 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 For Alts, Manager Selection Is Key For Alts, Manager Selection Is Key Hedge Funds Chart 8Hedge Fund Return Over Cash Hedge Fund Return Over Cash Hedge 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 Private Equity Premium Has Shrunk Around Private 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 Farm Prices Grow More Slowly Than GDP Farm 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 Commodities Still In A Bear Market Commodities Still In A Bear Market Chart 12Gold Also Has Supercycles Gold Also Has Supercycles Gold Also Has Supercycles   4. Currencies Chart 13Currencies Tend To Revert To PPP Currencies Tend To Revert To PPP Currencies 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 5. Correlations Chart 14Correlations Are Hard To Forecast Correlations Are Hard To Forecast Correlations 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 Return Assumptions – Refreshed And Refined Return Assumptions – Refreshed And Refined 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 unifying chorus among global central banks is currently for more monetary stimulus. In the race towards lower interest rates, the ultimate winners will be pro-cyclical currencies. Italian 10-year real government bond yields are rapidly joining those in Spain and Portugal in being below the neutral rate of interest for the entire euro zone. This is hugely reflationary. That said, growth barometers remain in freefall, suggesting some patience is still warranted.  We are watching like hawks a few key crosses that are sitting at critical technical levels. A break below will signal we are entering a deflationary bust. A bounce could be a prologue to a reflationary rally. Watch the bond-to-gold ratio to gauge where the balance of forces are shifting for the U.S. dollar. Tepid action by the BoJ this week reinforces our view that the path towards additional stimulus will be lined by a stronger yen. Stay short USD/JPY. We were a few pips away from our stop loss on long GBP/USD this week. Stand aside if triggered. The Norges Bank has emerged as the most hawkish G10 central bank. Hold long NOK/SEK and short CAD/NOK positions. Feature As early as 1625, Hugo De Groot, then a Dutch philosopher, saw the act of pre-emptively striking an enemy as a move of self-defense. With a mandate of self-preservation, it made sense for a country to wage war for injury not yet done, if sufficient evidence pointed to colossal damage from no action. So faced with some important central bank meetings this week, and European manufacturing data well into freefall, the European Central Bank pulled a trick out of an old playbook. At an ECB forum in Sintra, Portugal, President Mario Draghi highlighted that if the inflation outlook failed to improve, the central bank had considerable headroom to launch a fresh expansion of its balance sheet. With its next policy meeting not until July 25th, it sure did feel like the ECB was cornered. What followed was as expected, a more dovish Federal Reserve, Bank Of Japan and Bank of England. Paradoxically, those two words might have opened a reflationary window and triggered one of the necessary catalysts for a sharp selloff in the U.S. dollar (Chart I-1). Time Lags The key question today is whether central banks have sufficiently eased policy to stem the decline in manufacturing data. Obviously, the trade war remains a key risk to whatever direction indicators might be pointing to today, but a few key observations are in order. Chart I-1A Countertrend Rally Underway A Countertrend Rally Underway A Countertrend Rally Underway Chart I-2Dovish Central Banks Should Help Growth Dovish Central Banks Should Help Growth Dovish Central Banks Should Help Growth Our global monetary policy barometer tends to lead the PMI by about six months. It tracks 29 central banks, gauging which have tightened policy over the last three months and which have not. Since the global financial crisis, whenever the measure has hit the critical threshold of 15-20%, it has correctly signaled that the pace of manufacturing activity is likely to slow. It is entirely another debate whether or not the world we live in today can tolerate higher interest rates, but our barometer has clearly plunged into reflationary territory – below the 20% threshold. This has usually been followed by a pick-up in manufacturing activity (Chart I-2). Data out of Singapore has been a timely tracker of global trade and warrants monitoring. Most real-time measures of economic activity remain weak, especially in the export sector, but it appears shipping activity may have been picking up pace over the past few months. Both the Harpex Shipping Index and the Baltic Dry Index have been perking up. Similarly, vessel arrivals into Singapore that tend to lead exports have stopped their pace of deceleration. It is still too early to read much into this data, since it could be a reflection of re-stocking ahead of possible tariffs. That said, data out of Singapore has been a timely tracker of global trade and warrants monitoring (Chart I-3). Chart I-3ASigns Of Life Along Shipping Lanes Signs Of Life Along Shipping Lanes Signs Of Life Along Shipping Lanes Chart I-3BWatch Activity At Singaporean Ports Watch Activity At Singaporean Ports Watch Activity At Singaporean Ports Chinese money growth, especially forward-looking liquidity indicators such as M2 relative to GDP, has bottomed. Historically, this has lit a fire under cyclical stocks, and by extension pro-cyclical currencies. This is also consistent with the fall in Chinese bond yields that has historically tended to be supportive for money growth in the ensuing months (Chart I-4). Overall industrial production remains weak, but the production of electricity and steel, inputs into the overall manufacturing value chain, are inflecting higher. Intuitively, these tend to lead overall industrial production. In recent weeks, both steel and iron ore prices have been soaring. Many commentators have attributed these increases to supply bottlenecks and/or seasonal demand. However, it is evident from both the manufacturing data and the trend in prices that demand is also playing a role. Overall residential property sales remain soft, but the evidence from tier-1 and even tier-2 cities is that this may be behind us. A revival in the property market will support construction activity, investment and imports (Chart I-5). Chart I-4A Bullish Signal For Chinese Liquidity A Bullish Signal For Chinese Liquidity A Bullish Signal For Chinese Liquidity Chart I-5 Finally, high-beta currencies such as the RUB/USD, ZAR/USD and BRL/USD have stopped falling and are off their lows of the year. These currencies are usually good at sniffing out a change in the investment landscape, specifically one becoming more favorable to carry trades. The message so far is that the drop in U.S. bond yields may have been sufficient to make these currencies attractive again (Chart I-6). On a similar note, if currencies in emerging Asia that sit closer to the epicenter of Chinese stimulus can rally from here, it would indicate that policy stimulus is sufficient, and that the transmission mechanism is working. Chart I-6High-Beta Currencies Have Stopped Falling High-Beta Currencies Have Stopped Falling High-Beta Currencies Have Stopped Falling Chart I-7AUD/JPY Near A Critical Level AUD/JPY Near A Critical Level AUD/JPY Near A Critical Level Importantly, the AUD/JPY cross is sitting at an important technical level. Ever since the financial crisis, 72.5 has proven to be formidable intra-day resistance, with the cross failing to break below both during the euro area debt crisis in 2011-2012 and the China slowdown of 2015-2016. Speculators are neutral on the cross, suggesting any move in either direction could be powerful and significant. A break below will signal we are entering a deflationary bust. A bounce could be a prologue to a reflationary rally (Chart I-7). Bottom Line: We are watching a few key reflationary indicators to gauge whether it pays to be contrarian. The message is tipping in favor of pro-cyclical currencies, and further improvement will give us the green light to adopt a more pro-cyclical stance.  The Message From The U.S. Dollar The market interpreted the Fed’s latest monetary policy announcement as dovish, even though the central bank kept rates on hold. What transpired during the conference was the market increasing its bets for more aggressive rate cuts. The swaps market is currently pricing in 94 basis points of rate cuts over the next 12 months, versus 76 basis points a fortnight ago. This shift has pushed down the dollar, lifting other currencies and gold in the process. U.S. bond yields have also punched below 2%. Interest rate differentials are moving against the dollar, but our important takeaway – that gold continues to outperform Treasurys – is an ominous sign. Even before the financial crisis, a long-standing benchmark for gauging ultimate downside in the dollar was the bond-to-gold ratio. This is because gold has stood as a viable threat to dollar liabilities, capturing the ebbs and flows of investor confidence in the greenback tick for tick. Any sign that the balance of forces are moving away from the U.S. dollar will favor a breakout in the bond-to-gold ratio. Chart I-8Major Peak In The Bond-To-Gold Ratio? Major Peak In The Bond-To-Gold Ratio? Major Peak In The Bond-To-Gold Ratio? The rationale is pretty simple. Investors who are worried about U.S. twin deficits and the crowded trade of being long Treasurys will shift into gold, since pretty much every other major bond market (Germany, Switzerland, Japan) have negative yields. That favors gold at the expense of the dollar. The reverse is true if investors consider Treasurys more of a safe haven. The bond-to-gold ratio and dollar tend to move tick for tick, so a breakout in one can be a signal for what will happen to the other. This is why we are watching this ratio like hawks, and the breakdown this week is a bad omen for the U.S. dollar (Chart I-8). The euro might be the biggest beneficiary from the fall in the dollar. The standard dilemma for the euro zone is that interest rates have always been too low for the most productive nation, Germany, but too expensive for others such as Spain and Italy.1 As such, the euro has typically been caught in a tug-of-war between a rising equilibrium rate of interest for Germany, but a very low neutral rate for the peripheral countries. The silver lining is that the ECB may now have finally lowered domestic interest rates and eased policy to the point where they are accommodative for almost all euro zone countries: 10-year government bond yields in France, Spain, Portugal and even Italy now sit close to or below the neutral rate (Chart I-9). The ECB may now have finally lowered domestic interest rates and eased policy to the point where they are accommodative for almost all euro zone countries. Chart I-9The ECB May Have Won The Euro Battle The ECB May Have Won The Euro Battle The ECB May Have Won The Euro Battle The drop in the euro since 2018 has also eased financial conditions and made euro zone companies more competitive. This is a tailwind for European stocks. Fortunately for investors, European equities, especially those in the periphery, remain unloved, given they are trading at some of the cheapest cyclically adjusted price-to-earnings multiples in the developed world. Analysts began aggressively revising up their earnings estimates for euro zone equities earlier this year, relative to the U.S. If they are right, this could lead into powerful inflows into the euro over the next nine to 12 months (Chart I-10).  Chart I-10The Euro May Be On The Verge Of A Major Pop The Euro May Be On The Verge Of A Major Pop The Euro May Be On The Verge Of A Major Pop Bottom Line: Falling rate expectations relative to policy action have historically been bearish for the dollar with a lag of about nine to 12 months. The dollar has been relatively resilient, despite interest rate differentials are moving against it, but has started to converge towards lower rates. One winner will be EUR/USD. Stay Short USD/JPY The BoJ kept monetary policy on hold this week, but the message was cautious, even encouraging fiscal support. It looks like the end of the Heisei era2 has brought forward a well-known quandary for the central bank, which is that additional monetary policy options are hard to come by, since there have been diminishing economic returns to additional stimulus. This puts short USD/JPY bets in an enviable “heads I win, tails I do not lose too much” position. Chart I-11Stealth Tapering By The BoJ Stealth Tapering By The BoJ Stealth Tapering By The BoJ The BoJ maintained Yield Curve Control (YCC), stating it will continue to “conduct purchases of JGBs in a flexible manner so that their amount outstanding will increase at an annual pace of about 80 trillion yen.”3 But with the BoJ owning 46% of outstanding JGBs, about 75% of ETFs and almost 5% of JREITs, this will be a tall order (Chart I-11). The supply side obviously puts a serious limitation on how much more stimulus the central bank can provide. Total annual asset purchases by the BoJ are currently running at about ¥27 trillion, while JGBs purchases are running at ¥20 trillion. This is a far cry from the central bank’s soft target of ¥80 trillion, and unlikely to change anytime soon, given bond yields closing in on the -20 basis-point floor. This means interest rate differentials are likely to move in favor of a stronger yen short term (Chart I-12). The BoJ targets an inflation rate of 2%, but it is an open question as to whether it can actually achieve this. The overarching theme for prices in Japan is a rapidly falling (and ageing) population leading to deficient demand. More importantly, almost 40% of the Japanese consumption basket is in tradeable goods, meaning domestic inflation is as much driven by the influence of the BoJ as it is by globalization. Even for prices within the BoJ’s control, an ageing demographic that has a strong preference for falling prices is a powerful conflicting force. For example, transportation and telecommunications make up 17% of the core consumption basket in Japan, a non-negligible weight. This is and will remain a powerful drag on CPI, making it very difficult for the BoJ to re-anchor inflation expectations upward. The risk to short USD/JPY positions is that the BoJ will eventually act, but it may first require a riot point. On the other side of the coin, YCC and negative interest rates have been an anathema for Japanese net interest margins and share prices. This, together with QE, has pushed banks to search for yield down the credit spectrum. Any policy shift that is increasingly negative for banks could easily tip them over.  Chart I-12Can Japan Drop Rates Further? Can Japan Drop Rates Further? Can Japan Drop Rates Further? Chart I-13MMT Might Be What The Doctor Ordered MMT Might Be What The Doctor Ordered MMT Might Be What The Doctor Ordered Bottom Line: Inflation expectations remain at rock-bottom levels in Japan, at a time when the BoJ may be running out of policy bullets. Meanwhile, the margin of error for the BoJ is non-trivial, since a small external shock could tip the economy back into deflation. The risk to short USD/JPY positions is that the BoJ will eventually act, but it may first require a riot point (Chart I-13). A Final Note On The Pound A new conservative leadership is at the margin more negative for the pound (the assessment of our geopolitical strategists is that the odds of a hard Brexit have risen from 14% to 21%). However, our simple observation is that the pound is below where it was after the 2016 referendum results, yet more people are now in favor of staying in the union (Chart I-14). Chart I-14Support For Brexit Is Low, But Has Risen Support For Brexit Is Low, But Has Risen Support For Brexit Is Low, But Has Risen Chart I-15Low Rates Could Help British Capex Low Rates Could Help British Capex Low Rates Could Help British Capex   The BoE kept rates on hold following its latest policy meeting and will continue to err on the side of caution until the Brexit imbroglio is resolved. The reality is that the pound and U.K. gilt yields should be much higher solely on the basis of hard incoming data. Yes, the data has softened, but employment growth has been holding up very well, wages are inflecting higher and the average U.K. consumer appears in decent shape. Investment and construction have been the weak spot in the U.K. economy but may marginally improve on low rates (Chart I-15). We remain long the pound, given lower overall odds of a no-deal Brexit. That said, our long GBP/USD position was a few pips from being stopped out this week. Stand aside if triggered. Housekeeping Our stop-loss on long EUR/CHF was triggered at 1.11 yesterday. Stand aside for now, but we will be looking for opportunities to put this trade back on. Chester Ntonifor, Foreign Exchange Strategist chestern@bcaresearch.com Footnotes 1  Please see Foreign Exchange Strategy Weekly Report, titled “EUR/USD And The Neutral Rate Of Interest,” dated June 14, 2019, available at fes.bcaresearch.com. 2 The Heisei era refers to the period of Japanese history corresponding to the reign of Emperor Akihito from 8 January 1989 until his abdication on 30 April 2019. 3  Please refer to the Bank of Japan “Minutes of The Monetary Policy Meeting,” dated June 20, 2019, page 1. Currencies U.S. Dollar Chart II-1USD Technicals 1 USD Technicals 1 USD Technicals 1 Chart II-2USD Technicals 2 USD Technicals 2 USD Technicals 2 Recent data in the U.S. have been mostly negative: Retail sales grew by 0.5% month-on-month in May. University of Michigan consumer sentiment and expectation indices both fell to 97.9 and 88.6 in June. However, current conditions index increased to 112.5. NY empire state manufacturing index came in at -8.6 in June, falling below 0 for the first time since October 2016. NAHB housing market index fell to 64 in June. Housing starts contracted by 0.9% month-on-month in May, while building permits increased by 0.3% month-on-month. Current account deficit decreased to $130.4 billion in Q1. Philadelphia Fed Business Outlook survey index fell to 0.3 in June. DXY index fell by 1% this week. This Wednesday, the Fed has kept interest rates steady at 2.5%, but left the door open for rate cuts in the future as Powell stated that “Many participants now see the case for somewhat more accommodative policy has strengthened.” The dollar has weakened in response to the dovish pivot. Report Links: EUR/USD And The Neutral Rate Of Interest - June 14, 2019 Where To Next For The U.S. Dollar? - June 7, 2019 President Trump And The Dollar - May 9, 2019 The Euro Chart II-3EUR Technicals 1 EUR Technicals 1 EUR Technicals 1 Chart II-4EUR Technicals 2 EUR Technicals 2 EUR Technicals 2 Recent data in the euro area have been negative with muted inflation: Trade surplus narrowed to €15.3 billion in April. Headline and core inflation fell to 1.2% and 0.8% year-on-year respectively in May. ZEW survey expectations index fell to -20.2 in June. Current account surplus decreased to €20.9 billion in April. Construction output growth fell to 3.9% year-on-year in April. Consumer confidence fell further to -7.2 in June.  EUR/USD increased by 0.7% this week. The cross fell initially on Draghi’s dovish message that ECB would ease policy again should inflation fail to accelerate, then rebounded on broad dollar weakness this Wednesday following the Fed’s dovish pivot. However, the euro has weakened further against other currency pairs. Our EUR/CHF trade was stopped out at 1.11 on Thursday morning. Report Links: EUR/USD And The Neutral Rate Of Interest - June 14, 2019 Take Out Some Insurance - May 3, 2019 Reading The Tea Leaves From China - April 12, 2019 The Yen Chart II-5JPY Technicals 1 JPY Technicals 1 JPY Technicals 1 Chart II-6JPY Technicals 2 JPY Technicals 2 JPY Technicals 2 Recent data in Japan have been mostly negative: Industrial production was unchanged at -1.1% year-on-year in April. Total adjusted trade balance decreased to -¥609.1 billion in May. Imports fell by 1.5% year-on-year, while exports contracted by 7.8% year-on-year. All industry activity index increased by 0.9% month-on-month in April. Machine tool orders continued to contract by 27.3% year-on-year in May. USD/JPY fell by 1.1% this week. BoJ kept the interest rate unchanged at -0.1% this week. In the monetary statement, the BoJ stated that the Japanese economy would likely continue expanding at a moderate rate, despite exogenous shocks. The current policy rates will be maintained at least through the spring of 2020. Report Links: Short USD/JPY: Heads I Win, Tails I Don’t Lose Too Much - May 31, 2019 Beware Of Diminishing Marginal Returns - April 19, 2019 Tug OF War, With Gold As Umpire - March 29, 2019 British Pound Chart II-7GBP Technicals 1 GBP Technicals 1 GBP Technicals 1 Chart II-8GBP Technicals 2 GBP Technicals 2 GBP Technicals 2 Recent data in the U.K. have been mixed: Retail price index increased by 3% year-on-year in May. Headline and core inflation fell to 2% and 1.7% year-on-year respectively in May. Total retail sales growth fell to 2.3% year-on-year in May. GBP/USD increased by 0.9% this week. The MPC voted unanimously to keep the interest rate unchanged at 0.75% this week. However, some policymakers have suggested that borrowing costs should be higher. The BoE however cut its growth forecast in the second quarter of 2019 amid rising global trade tensions and a fear of “no-deal” Brexit. Report Links: A Contrarian View On The Australian Dollar - May 24, 2019 Take Out Some Insurance - May 3, 2019 Not Out Of The Woods Yet - April 5, 2019 Australian Dollar Chart II-9AUD Technicals 1 AUD Technicals 1 AUD Technicals 1 Chart II-10AUD Technicals 2 AUD Technicals 2 AUD Technicals 2 There is little data from Australia this week: House price index contracted by 7.4% year-on-year in Q1. Westpac leading index fell by 0.08% month-on-month in May. AUD/USD rose by 0.7% this week. Our long AUD/USD came close to the stop-loss at 0.68 this Tuesday, then rebounded on dollar weakness and is now trading around 0.69. RBA governor Philip Lowe said that it was unrealistic to think that the single quarter-point cut to 1.25% would work to achieve its growth target, signaling more rate cuts and fiscal stimulus in the future. We are holding on to the long AUD/USD position from a contrarian perspective, and believe that the Aussie dollar will benefit as a pro-cyclical currency if the global growth outlook turns positive. Report Links: A Contrarian View On The Australian Dollar - May 24, 2019 Beware Of Diminishing Marginal Returns - April 19, 2019 Not Out Of The Woods Yet - April 5, 2019 New Zealand Dollar Chart II-11NZD Technicals 1 NZD Technicals 1 NZD Technicals 1 Chart II-12NZD Technicals 2 NZD Technicals 2 NZD Technicals 2 Recent data in New Zealand have been mixed: REINZ house sales keep contracting by 7.8% year-on-year in May. Business Manufacturing PMI fell to 50.2 in May.  Westpac consumer confidence fell to 103.5 in Q2. Current account surplus widened to N$0.675 billion in Q1. GDP growth was unchanged at 0.6% in Q1 on a quarter-on-quarter basis. However, it increased to 2.5% on a year-on-year basis.  NZD/USD increased by 1.1% this week. Our bias remains that the New Zealand dollar has less room to rise compared to other pro-cyclical currencies if global growth picks up. Our SEK/NZD position is 1.3% in the money since initiated. Report Links: Where To Next For The U.S. Dollar? - June 7, 2019 Not Out Of The Woods Yet - April 5, 2019 Balance Of Payments Across The G10 - February 15, 2019 Canadian Dollar Chart II-13CAD Technicals 1 CAD Technicals 1 CAD Technicals 1 Chart II-14CAD Technicals 2 CAD Technicals 2 CAD Technicals 2 Recent data in Canada have been mixed: Foreign portfolio investment in Canadian securities fell by C$12.8 billion in April. Bloomberg Nanos confidence increased to 56.9 in June. Manufacturing sales fell by 0.6% month-on-month in April. Headline and core inflation both increased to 2.4% and 2.1% year-on-year respectively in May, surprising to the upside. USD/CAD fell by 1.6% this week. The surprising Canadian inflation print, and oil price recovery are all underpinning the Canadian dollar in the short term. This Thursday, Iran shot down a the U.S. drone in Gulf, and fears have been rising of a military confrontation between the U.S. and Iran, which is bullish for oil prices and the Canadian dollar. Report Links: Currency Complacency Amid A Global Dovish Shift - April 26, 2019 A Shifting Landscape For Petrocurrencies - March 22, 2019 Into A Transition Phase - March 8, 2019 Swiss Franc Chart II-15CHF Technicals 1 CHF Technicals 1 CHF Technicals 1 Chart II-16CHF Technicals 2 CHF Technicals 2 CHF Technicals 2 Recent data in Switzerland have been positive: Exports and imports increased to CHF 21.5 billion and CHF 18.1 billion respectively in May, resulting in a higher trade surplus of CHF 3.4 billion. USD/CHF fell by 1.7% this week. The Swiss franc has strengthened significantly against the U.S. dollar and the euro following the more-than-expected dovish shifts by the ECB and the Fed this week. Our bias remains that the SNB will use the currency as a weapon to defend the economy. Report Links: What To Do About The Swiss Franc? - May 17, 2019 Beware Of Diminishing Marginal Returns - April 19, 2019 Balance Of Payments Across The G10 - February 15, 2019 Norwegian Krone Chart II-17NOK Technicals 1 NOK Technicals 1 NOK Technicals 1 Chart II-18NOK Technicals 2 NOK Technicals 2 NOK Technicals 2 Recent data in Norway have been negative: The trade surplus narrowed to 11.3 billion NOK in May. USD/NOK fell by 1.6% this week. The Norges bank raised interest rates from 1% to 1.25%, the third rate hike during the past 12 months, and the Bank is also signaling more to come in the future. The Norges Bank remains the only hawkish central bank among all the G10 countries at this moment. The widening interest rate differentials and bullish oil outlook have been pushing the Norwegian krone higher. Our long NOK/SEK position is now 4.5% in the money. Report Links: Currency Complacency Amid A Global Dovish Shift - April 26, 2019 A Shifting Landscape For Petrocurrencies - March 22, 2019 Balance Of Payments Across The G10 - February 15, 2019 Swedish Krona Chart II-19SEK Technicals 1 SEK Technicals 1 SEK Technicals 1 Chart II-20SEK Technicals 2 SEK Technicals 2 SEK Technicals 2 Recent data in Sweden have been neutral: Headline and core inflation increased to 2.2% and 2.1 year-on-year respectively in May. Consumer confidence increased to 93.8 in June, while manufacturing confidence fell to 100.2. Unemployment rate increased to 6.8% in May. USD/SEK fell by 0.7% this week. Easing financial conditions worldwide remain a tailwind for global growth. Risk assets are rebounding with higher hopes of a trade deal as Trump will meet Xi at the G20 summit. We believe that the Swedish krona will benefit if global growth picks up in the second half of this year. Report Links: Where To Next For The U.S. Dollar? - June 7, 2019 Balance Of Payments Across The G10 - February 15, 2019 A Simple Attractiveness Ranking For Currencies - February 8, 2019 Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Closed Trades

Highlights So What? Geopolitical risks are not about to ease. Why? Fiscal policy becomes less accommodative next year unless politicians act. Financial conditions give President Trump room to expand his tariff onslaught. Our Iran view is confirmed by rapid escalation of tensions – war risk is high. The odds of a no-deal Brexit have risen. Feature The AUD-JPY cross and copper-to-gold ratio – two market indicators that flag global growth and risk-on sentiment – are hovering over critical points at which a further breakdown would catalyze a renewed flight to quality (Chart 1). Chart 1Risk-On Indicators Breaking Down? Risk-On Indicators Breaking Down? Risk-On Indicators Breaking Down? Global sentiment remains depressed amid a rash of negative economic surprises and bonds continue to rally despite a more dovish outlook from the Fed (Chart 2). Chart 2Global Sentiment Remains Depressed Global Sentiment Remains Depressed Global Sentiment Remains Depressed The cavalry is on the way: European Central Bank President Mario Draghi oversaw a dramatic easing of monetary policy on June 18, driving the Italian-German sovereign bond spread down to levels not seen since before the populist election outcome of March 2018 (Chart 2, bottom panel). The Federal Reserve adjusted its policy rate projections to countenance an interest rate cut in the not-too-distant future. More needs to be done, however, to sustain the optimism that has propelled the S&P 500 and global equities upward since the volatility catalyzed by President Donald Trump’s announcement of a tariff rate hike on May 6. Political and geopolitical risks are higher, not lower, since that time as market-negative scenarios are playing out with U.S. policy, Iran, and Brexit, while we take a dim view of the end-game of the U.S.-China negotiations despite recent improvements. Fiscal And Trade Uncertainties This year’s growth wobbles have occurred in the context of expansive fiscal policy in the developed markets. Next year, however, the fiscal thrust (the change in the cyclically adjusted budget balance) is projected to decline in the U.S. and Japan and nearly to do so in Europe (Chart 3). We expect President Trump and the House Democrats to raise spending caps (or at least keep spending at current levels) and thus prevent the budget deficit from contracting in FY2020 – this is their only substantial point of agreement. But this at best neutralizes what would otherwise be a negative fiscal backdrop. Meanwhile it is not at all clear that Brussels will relax its scrutiny of member states seeking to cut taxes and boost spending, such as Italy. Japanese Prime Minister Abe Shinzo would need to arrange for the Diet to pass a new law to avoid the consumption tax hike from 8% to 10% on October 1. He can pull this off, especially if the U.S. trade war escalates – or if he decides to turn next month’s upper house election into a general election and needs to boost his popularity. But as things currently stand in law, the world’s third biggest economy will face a deep fiscal pullback next year (Chart 3, bottom panel). In short, DM fiscal policy will not really become contractionary in 2020, but this is a view and not yet a reality (Chart 4). Chart 3Fiscal Pullback Likely Next Year Fiscal Pullback Likely Next Year Fiscal Pullback Likely Next Year Chart 4Only The U.S. Is Profligate Only The U.S. Is Profligate Only The U.S. Is Profligate Meanwhile China’s stimulus is still in question – in fact it remains the major macro question this year. The efficacy of China’s stimulus is declining ... An escalating trade war will bring greater stimulus but also greater transmission problems.  Since February we have argued that the Xi administration has shifted to sweeping fiscal-and-credit stimulus in the face of the unprecedented external threat posed by the Trump administration (Charts 5A and 5B). We expect China’s credit growth to continue its upturn in June and in H2. Ultimately, we think the whole package will be comparable to 2015-16 – and anything even close to that will prolong the global economic expansion. We do not see a massive 2008-style stimulus occurring unless relations with the U.S. completely collapse and a global recession occurs. Chart 5AStimulus Amid The Trade War Stimulus Amid The Trade War Stimulus Amid The Trade War Chart 5 The catch – as we have shown – is that the efficacy of China’s stimulus is declining over time because of over-indebtedness and bearish sentiment in China’s private sector. These tepid animal spirits stem from epochal changes: Xi’s reassertion of communism and America’s withdrawal of strategic support for China’s rise. An escalating trade war will bring greater stimulus but also greater transmission problems. The magnitude of the tariffs that President Trump is threatening to impose on China, Mexico, the EU, and Japan is mind-boggling. We illustrate this with a simple simulation of duties collected as a share of total imports under different scenarios (Chart 6). Chart 6 China and Mexico are fundamentally different from the EU and Japan and hence the threat of tariffs will continue to weigh on markets for Trump’s time in office – China because of a national security consensus and Mexico because of the Trump administration’s existential emphasis on curbing illegal immigration. But we still put the risk of auto tariffs (or other punitive measures) on Europe at 45% if Trump seals a China deal. The odds are lower for Japan but it is still at risk. Global supply chains are shifting – a new source of costs and uncertainty for companies – as a slew of recent news has highlighted. Already 40% of companies surveyed by the American Chamber of Commerce in China say they are relocating to Southeast Asia, Mexico, and elsewhere (Chart 7). If the G20 is a flop – or results in nothing more than a pause in tariffs for another three-month dialogue – relocations will gain steam, forcing companies’ bottom lines to take a hit. Chart 7 Even in the best case, in which the Trump-Xi summit produces a joint statement outlining a “deal in principle” accompanied by a rollback of the May 10 tariff hike, uncertainty will persist due to President Trump’s unpredictability, China’s incentive to wait until after the U.S. election, and Trump’s incentive to corner the “China hawk” platform prior to the election. We maintain that, by November 2020, there is a roughly 70% chance of further escalation. At least the U.S.-China conflict is nominally improving. The same cannot be said for other geopolitical risks discussed below: the U.S. and Iran are flirting with war; the U.S. presidential election is injecting a steady trickle of market-negative news; the chances of a no-deal Brexit are rising; and Trump may turn on Europe at a moment when it lacks leadership. This list assumes that Russia takes advantage of American distraction by improving domestic policy rather than launching into a new foreign adventure – say in Ukraine or Kaliningrad. If there is any doubt as to whether political risk can outweigh more accommodative monetary policy, remember that President Trump actually can remove Chairman Jerome Powell. Legally he is only allowed to do so “for cause” as opposed to “at will.” But the meaning of this term is a debate that would go to the Supreme Court in the event of a controversial decision. Meanwhile the stock market would dive. Now, this is precisely why Trump will not try. But the implication, as with Congress and the border wall, is that Trump is constrained on domestic policy and hence tariffs are his most effective tool to try to achieve policy victories. With an ebullient stock market and a Fed that is adjusting its position, Trump can try to kill two birds with one stone: wring concessions from trade partners while forcing the FOMC to keep responding to rising external risks. Bottom Line: Central banks are riding to the rescue, but there is only so much they can do if global leaders are tightening budgets and imposing barriers on immigration and trade. We remain tactically cautious. Oh Man, Oh Man, Oman Iran has swiftly responded to the Trump administration’s imposition of “maximum pressure” on oil exports. The shooting down of an American drone that Tehran claims violated its airspace on June 20 is the latest in a spate of incidents, including a Houthi first-ever cruise missile attack on Abha airport in Saudi Arabia. Two separate attacks on tankers near the Strait of Hormuz (Map 1) demonstrate that Iran is threatening to play its most devastating card in the renewed conflict with the U.S. Chart Chart 8 Hormuz ushers through a substantial share of global oil demand and liquefied natural gas demand (Chart 8). The amount of spare pipeline capacity that the Gulf Arab states could activate in the event of a disruption is merely 3.9 million barrels per day, or 6 million if questionable pipelines like the outdated Iraqi pipeline in Saudi Arabia prove functional (Table 1). Table 1No Sufficient Alternatives To Hormuz Escalation ... Everywhere Escalation ... Everywhere A conflict with Iran could cause the biggest oil shock of all time. Even if this spare capacity were immediately utilized, a conflict could cause the biggest oil shock of all time – considerably bigger than that of the Iranian Revolution (Chart 9). Chart 9 We have shown in the past that Iran has the military capability of interrupting the flow of traffic in Hormuz for anywhere from 10 days to four months. A preemptive strike by Iran would be most effective, whereas a preemptive American attack would include targets to reduce Iran’s ability to retaliate via Hormuz. The impact on oil prices ranges from significant to devastating. Needless to say, blocking the Strait of Hormuz would initiate a war so Iran is attempting to achieve diplomatic goals with the threats themselves – it will only block the strait as a last resort, say if it is convinced that the U.S. is about to attack anyway. As the experience of President Jimmy Carter shows, Americans may rally around the flag during a crisis but they will also kick a president out of office for higher prices and an economic slowdown. President Trump cannot be unaware of this precedent. The intention of his Iran policy is to negotiate a “better deal” than the 2015 one – a deal that includes Iran’s regional power projection and ballistic missile capabilities as well as its nuclear program. The problem is that Trump has already been forced to deploy a range of forces to the region, including additional troops (albeit so far symbolic at 2,500) (Chart 10). He is also sending Special Representative for Iran, Brian Hook, to the region to rally support among Gulf Cooperation Council. The week after Hook will court Britain, Germany, and France, three of the signatories of the 2015 deal. Trump ran on a campaign of eschewing gratuitous wars in the Middle East – a popular stance among war-weary Americans (Chart 11) – but there is a substantial risk that he could get entangled in the region. First, he is adopting a more aggressive foreign policy to attempt to compensate for the lack of payoff in public opinion from the strong economy. Second, Iran is not shrinking from the fight, which could draw him deeper into conflict. Third, there is always a high risk of miscalculation when nations engage in such brinkmanship. Chart 10Is The 'Pivot To Asia' About To Reverse? Is The 'Pivot To Asia' About To Reverse? Is The 'Pivot To Asia' About To Reverse? Chart 11 The Iranian response has been, first, to reject negotiations. When Trump sent a letter to Rouhani via Japanese Prime Minister Abe Shinzo, Abe was rebuffed – and one of the tankers attacked near Oman was a Japanese flagged vessel, the Kokuka Courageous. This is a posture, not a permanent position, as the Iranian release of an American prisoner demonstrates. But the posture can and will be maintained in the near term – with escalation as the result. Second, Iran is increasing its own leverage in any future negotiation by demonstrating that it can sow instability across the region and bring the global economy grinding to a halt. Iran cannot assume that Trump means what he says about avoiding war but must focus on the United States’ actions and capabilities. Cutting off all oil exports is a recipe for extreme stress within the Iranian regime – it is an existential threat. Therefore, the Iranians have signaled that the cost of a total cutoff will be a war that will cause a global oil price shock. The Iranian leaders are also announcing that they are edging closer to walking away from the 2015 nuclear pact (Table 2). If so, they could quickly approach “breakout” capacity in the uranium enrichment – meaning that they could enrich to 20% and then in short order enrich to 90% and amass enough of this fuel to make a nuclear device one year thereafter. The Trump administration has reportedly reiterated that this one-year limit is the U.S. government’s “red line,” just as the Obama administration had done. Table 2Iran Threatens To Walk Away From 2015 Nuclear Deal Escalation ... Everywhere Escalation ... Everywhere This Iranian threat is a direct reaction to Trump’s decision in May not to renew the oil sanction waivers. Previously the Iranians had sought to preserve the 2015 deal, along with the Europeans, in order to wait out Trump’s first term. These developments push us to the brink of war. Iran is retaliating with both military force and a nuclear restart. This comes very close to meeting our conditions for an American (and Israeli) retaliation that is military in nature. Diagram 1 is an update of our decision tree that we have published since last year when Trump reneged on the 2015 deal. The window to de-escalate is closing rapidly. The Appendix provides a checklist for air strikes and/or the closure of Hormuz. Diagram 1Iran-U.S. Tensions Decision Tree Escalation ... Everywhere Escalation ... Everywhere At very least we expect to see the U.S. attempt to create a large international fleet to assert freedom of navigation in the Persian Gulf and Strait of Hormuz. While Iran may lay low during a large show of force, it will later want to demonstrate that it has not been cowed. And it has the capacity to retaliate elsewhere, including in Iraq, an area we have highlighted as a major geopolitical risk to oil supply. The U.S. government has already reacted to recent threats there from Iranian proxies by pulling non-essential personnel. Iran has several incentives to test the limits of conflict if the U.S. insists on the oil embargo. First, tactically, it seeks to deter President Trump, take advantage of American war-weariness, drive a wedge between the U.S. and Europe, and force a relaxation of the sanctions. This would also demonstrate to the region that Iran has greater resolve than the United States of America. This goal has not been achieved by the recent spate of actions, so there is likely more conflict to come. Second, President Hassan Rouhani’s government is also likely to maintain a belligerent posture – at least in the near term – to compensate for its loss of face upon the American betrayal of the 2015 nuclear deal. Rouhani negotiated the deal against the warnings of hardline revolutionaries. The 2020 majlis elections make this an important political goal for his more reform-oriented faction. Negotiations with Trump can only occur if Rouhani has resoundingly demonstrated his superiority in the clash of wills. Structurally, Iran faces tremendous regime pressures in the coming years and decades because of its large youth population, struggling economy, and impending power transition from the 80 year-old Supreme Leader Ali Khamanei. A patriotic war against America and its allies – while not desirable – is a risk that Khamenei can take, as an air war is less likely to trigger regime change than it is to galvanize a new generation in support of the Islamic revolution. For oil markets the outcome is volatility in the near term – reflecting the contrary winds of trade war and global growth fears with rising supply risks. Because we expect more Chinese stimulus, both as the trade talks extend and especially if they collapse, we ultimately share BCA’s Commodity & Energy Strategy view that the path of least resistance for oil prices is higher on a cyclical horizon, as demand exceeds supply (Chart 12). We remain long EM energy producers relative to EM ex-China. Chart 12Crude Oil Supply-Demand Balance Should Send Prices Higher Crude Oil Supply-Demand Balance Should Send Prices Higher Crude Oil Supply-Demand Balance Should Send Prices Higher Bottom Line: The risk of military conflict has risen materially. This also drastically elevates the risk of a supply shock in oil prices that would kill global demand. The U.S. Election Adds To Geopolitical Risk The 2020 U.S. election poses another political risk for the rising equity market. The Democratic Party’s first debate will be held on June 26-27. The leftward shift in the party will be on full display, portending a possible 180-degree reversal in U.S. policy if the Democrats should win the election, with the prospect of a rollback of Trump’s tax cuts and deregulation of health, finance, and energy. The uncertainty and negative impact on animal spirits will be modest if current trends persist through the debates. Former Vice President Joe Biden remains the frontrunner despite having naturally lost the bump to his polling support after announcing his official candidacy (Chart 13). Biden is a known quantity and a centrist, especially compared to the farther left candidates ranked second and third in popular support– Vermont Senator Bernie Sanders and Massachusetts Senator Elizabeth Warren. Chart 13 Chart 14 Biden is not only beating Sanders in South Carolina, which underscores the fact that he is competitive in the South and hence has a broader path to the White House, but also in New Hampshire, where the Vermont native should be ahead (Chart 14). These states hold the early primaries and caucuses and if Biden maintains his large lead then he will start to appear inevitable very early in the primary campaign next year. Hence a poor showing in the debate on June 27 is a major risk to Biden – he should be expected to be eschew the limelight and play the long game. Elizabeth Warren, by contrast, has the most to gain as she appears on the first night and does not share a stage with the other heavy hitters. If she or other progressive candidates outperform then the market will be spooked. The market could begin to trade off the polls. All of these candidates are beating Trump in current head-to-head polling – Biden is even ahead in Texas (Chart 15). This means that any weakness from Biden does not necessarily offer the promise of a Trump victory and policy continuity. Chart 15 The Democrats also have a powerful demographic tailwind. The just-released projections from the U.S. Census Bureau reveal how Trump’s narrow margins of victory in the swing states in 2016 are in serious jeopardy in 2020 as a result of demographics if he does not improve his polling among the general public (Chart 16). Chart 16 We still give Trump the benefit of the doubt as the incumbent president amid an expanding economy, but it is essential to recognize that his popular approval rating is reminiscent of a president during recession – i.e. one who is about to lose the White House for his party (Chart 17). Chart 17 Even if there is not a recession, an increase in unemployment is likely to cost him the election – and even a further decrease in unemployment cannot guarantee victory (Chart 18). This is why we see Trump making a bid to become a foreign policy president and seek reelection on the basis that it is unwise to change leaders amid an international crisis. Chart 18 We still give Trump the benefit of the doubt ... but his popular approval rating is reminiscent of a president during recession. The race for the U.S. senate is extremely important for the policy setting from 2021. If Republicans maintain control, they will be able to block sweeping Democratic legislation – which is particularly relevant if a progressive candidate should win the White House. However, if Democrats can muster enough votes to remove a sitting president with a strong economy – including a strong economy in the key senate swing races (Chart 19) – then they will likely win over the senate as well. Chart 19Hard To Win The Senate In 2020 While Key States Prosper Hard To Win The Senate In 2020 While Key States Prosper Hard To Win The Senate In 2020 While Key States Prosper Bottom Line: The 2020 election poses a double risk to the bull market. First, the Democratic primary campaign threatens sharp policy discontinuity, especially if and when developments cause Biden to drop in the polls (dealing a blow to centrism or the political establishment). Second, Trump’s vulnerability makes him more likely to act aggressive on the international stage, whether on trade, immigration, or national security, reinforcing the risks outlined above with regard to China, Iran, Mexico, and even Europe. Rising Odds Of A No-Deal Brexit Former Mayor of London and former foreign secretary Boris Johnson looks increasingly likely to seal the Conservative Party leadership contest in the United Kingdom. It is not yet a done deal, but the shift within the party in favor of accepting a “no deal” exit is clear. None of the remaining candidates is willing to forgo that option. The newest development advances us along our decision tree in Diagram 2, altering the conditional probabilities for this year’s events. We expect the next prime minister to try to push a deal substantially similar to outgoing Prime Minister Theresa May before attempting any kamikaze run as the October 31 deadline approaches. The attempt to leverage the EU’s economic weakness will not produce a fundamental renegotiation of the exit deal, but some element of diplomatic accommodation is possible as the EU seeks to maintain overall stability and a smooth exit if that is what the U.K. is determined to accomplish. Diagram 2Brexit Decision Tree Escalation ... Everywhere Escalation ... Everywhere Hence the prospect of passing a deal substantially similar to outgoing Prime Minister Theresa May’s deal is about 30%, roughly equal to the chance of a delay (28%). These options are believable as the new leader will have precious little time between taking the reins and Brexit day. The EU can accept a delay because it ultimately has an interest in keeping the U.K. bound into the union. Public opinion polling is not conducive to the new prime minister seeking a new election unless the change of face creates a massive shift in support for the Conservatives, both by swallowing the Brexit Party and outpacing Labour. If the purpose is to deliver Brexit, then the risk of a repeat of the June 2017 snap election would seem excessive. Nevertheless, the Tories’ working majority in parliament is vanishingly small, at five MPs, so a shift in polling could change the thinking on this front. The pursuit of a no-deal exit would create a backlash in parliament that we reckon has a 21% chance of ending in a no-confidence motion and new election. Bottom Line: The odds of a crash Brexit have moved up from 14% to 21% as a result of the leadership contest. The threat that the U.K. will crash out of the EU is not merely a negotiating ploy, although it will be a last resort even for the new hard-Brexit prime minister. Public opinion is against a no-deal Brexit, as is the majority of parliament, but the risk to the U.K. and EU economies will loom large over global risk assets in the coming months. Investment Conclusions Political and geopolitical risks to the late-cycle expansion are rising, not falling. U.S. foreign policy remains the dominant risk but U.S. domestic policy pre-2020 is an aggravating factor. Easing financial conditions give President Trump more ammunition to use tariffs and sanctions. Meanwhile our view that this summer will feature “fire and fury” between the U.S. and Iran has been confirmed by the tanker attacks in Oman. Tensions will likely escalate from here. Ultimately, we believe Trump is more likely to back off from the Iran conflict than the China conflict. This is part of our long-term theme that the U.S. really is pivoting to China and geopolitical risk will rotate from the Middle East to East Asia. But as highlighted above, the risk of entanglement is very high due to Trump’s approach and Iran’s incentives to raise the stakes. Oil prices will not resume their upward drift until Chinese stimulus is reconfirmed – and even then they will continue to be volatile. We remain cautious and are maintaining our safe-haven tactical trades of long gold and long JPY/USD.   Matt Gertken, Vice President Geopolitical Strategist mattg@bcaresearch.com Appendix Image

Highlights So What? U.S.-China relations are still in free fall as we go to press. Why? The trade war will elicit Chinese stimulus but downside risks to markets are front-loaded. The oil risk premium will remain elevated as Iran tensions will not abate any time soon. The odds of a no-deal Brexit are rising. Our GeoRisk Indicators show that Turkish and Brazilian risks have subsided, albeit only temporarily. Maintain safe-haven trades. Short the CNY-USD and go long non-Chinese rare earth providers. Feature The single-greatest reason for the increase in geopolitical risk remains the United States. The Democratic Primary race will heat up in June and President Trump, while favored in 2020 barring a recession, is currently lagging both Joe Biden and Bernie Sanders in the head-to-head polling. Trump’s legislative initiatives are bogged down in gridlock and scandal. The remaining avenue for him to achieve policy victories is foreign policy – hence his increasing aggressiveness on both China and Iran. The result is negative for global risk assets on a tactical horizon and possibly also on a cyclical horizon. A positive catalyst is badly needed in the form of greater Chinese stimulus, which we expect, and progress toward a trade agreement. Brexit, Italy, and European risks pale by comparison to what we have called “Cold War 2.0” since 2012. Nevertheless, the odds of Brexit actually happening are increasing. The uncertainty will weigh on sentiment in Europe through October even if it does not ultimately conclude in a no-deal shock that prevents the European economy from bouncing back. Yet the risk of a no-deal shock is higher than it was just weeks ago. We discuss these three headline geopolitical risks below: China, Iran, and the U.K. No End In Sight For U.S.-China Trade Tensions U.S.-China negotiations are in free fall, with no date set for another round of talks. On March 6 we argued that a deal had a 50% chance of getting settled by the June 28-29 G20 summit in Japan, with a 30% chance talks would totally collapse. Since then, we have reduced the odds of a deal to 40%, with a collapse at 50%, and a further downgrade on the horizon if a positive intervention is not forthcoming producing trade talks in early or mid-June (Table 1). Table 1U.S.-China Trade War: Probabilities Of A Deal By End Of June 2019 GeoRisk Indicators Update: May 31, 2019 GeoRisk Indicators Update: May 31, 2019 We illustrate the difficulties of agreeing to a deal through the concept of a “two-level game.” In a theoretical two-level game, each country strives to find overlap between its international interests and its rival’s interests and must also seek overlap in such a way that the agreement can be sold to a domestic audience at home. The reason why the “win-win scenario” is so remote in the U.S.-China trade conflict is because although China has a relatively large win set – it can easily sell a deal at home due to its authoritarian control – the U.S. win set is small (Diagram 1). Diagram 1Tiny Win-Win Scenario In U.S.-China Trade Conflict GeoRisk Indicators Update: May 31, 2019 GeoRisk Indicators Update: May 31, 2019 The Democrats will attack any deal that Trump negotiates, making him look weak on his own pet issue of trade with China. This is especially the case if a stock market selloff forces Trump to accept small concessions. His international interest might overlap with China’s interest in minimizing concessions on foreign trade and investment access while maximizing technological acquisition from foreign companies. He would not be able to sell such a deal – focused on large-scale commodity purchases as a sop to farm states – on the campaign trail. Democrats will attack any deal that Trump negotiates. While it is still possible for both sides to reach an agreement, this Diagram highlights the limitations faced by both players. Meanwhile China is threatening to restrict exports of rare earths – minerals which are critical to the economy and national defense. China dominates global production and export markets (Chart 1), so this would be a serious disruption in the near term. Global sentiment would worsen, weighing on all risk assets, and tech companies and manufacturers that rely on rare earth inputs from China would face a hit to their bottom lines. Chart 1China Dominates Rare Earths Supply France: GeoRisk Indicator France: GeoRisk Indicator Over the long haul, this form of retaliation is self-defeating. First, China would presumably have to embargo all exports of rare earths to the world to prevent countries and companies from re-exporting to the United States. Second, rare earths are not actually rare in terms of quantity: they simply occur in low concentrations. As the world learned when China cut off rare earths to Japan for two months in 2010 over their conflict in the East China Sea, a rare earths ban will push up prices and incentivize production and processing in other regions. It will also create rapid substitution effects, recycling, and the use of stockpiles. Ultimately demand for Chinese rare earths exports would fall. Over the nine years since the Japan conflict, China’s share of global production has fallen by 19%, mostly at the expense of rising output from Australia. A survey of American companies suggests that they have diversified their sources more than import statistics suggest (Chart 2). Chart 2Import Stats May Be Overstating China’s Dominance U.K.: GeoRisk Indicator U.K.: GeoRisk Indicator The risk of a rare earths embargo is high – it fits with our 30% scenario of a major escalation in the conflict. It would clearly be a negative catalyst for companies and share prices. But as with China’s implicit threat of selling U.S. Treasuries, it is not a threat that will cause Trump to halt the trade war. The costs of conflict are not prohibitive and there are some political gains. Bottome Line: The S&P 500 is down 3.4% since our Global Investment Strategists initiated their tactical short on May 10. This is nearly equal to the weighted average impact on the S&P 500 that they have estimated using our probabilities. Obviously the selloff can overshoot this target. As it does, the chances of the two sides attempting to contain the tensions will rise. If we do not witness a positive intervention in the coming weeks, it will be too late to salvage the G20 and the risk of a major escalation will go way up. We recommend going short CNY-USD as a strategic play despite China’s recent assurances that the currency can be adequately defended. Our negative structural view of China’s economy now coincides with our tactical view that escalation is more likely than de-escalation. We also recommend going long a basket of companies in the MVIS global rare earth and strategic metals index – specifically those companies not based in China that have seen share prices appreciate this year but have a P/E ratio under 35. U.S.-Iran: An Unintentional War With Unintentional Consequences? “I really believe that Iran would like to make a deal, and I think that’s very smart of them, and I think that’s a possibility to happen.” -President Donald Trump, May 27, 2019 … We currently see no prospect of negotiations with America ... Iran pays no attention to words; what matters to us is a change of approach and behavior.” -Iranian Foreign Ministry spokesman Abbas Mousavi, May 28, 2019 The U.S. decision not to extend sanction waivers on Iran multiplied geopolitical risks at a time of already heightened uncertainty. Elevated tensions surrounding major producers in the Middle East could impact oil production and flows. In energy markets, this is reflected in the elevated risk premium – represented by the residuals in the price decompositions that include both supply and demand factors (Chart 3). Chart 3The Risk Premium Is Rising In Brent Crude Oil Prices Germany: GeoRisk Indicator Germany: GeoRisk Indicator Tensions surrounding major oil producers ... are reflected in the elevated risk premium – represented by the residuals in the Brent price decomposition. Already Iranian exports are down 500k b/d in April relative to March – the U.S. is acting on its threat to bring Iran’s exports to zero and corporations are complying (Chart 4). Chart 4Iran Oil Exports Collapsing Italy: GeoRisk Indicator Italy: GeoRisk Indicator What is more, the U.S. is taking a more hawkish military stance towards Iran – recently deploying a carrier strike group and bombers, partially evacuating American personnel from Iraq, and announcing plans to send 1,500 troops to the Middle East. The result of all these actions is not only to reduce Iranian oil exports, but also to imperil supplies of neighboring oil producers such as Iraq and Saudi Arabia which may become the victims of retaliation by an incandescent Iran. Our expectation of Iranian retaliation is already taking shape. The missile strike on Saudi facilities and the drone attack on four tankers near the UAE are just a preview of what is to come. Although Iran has not claimed responsibility for the acts, its location and extensive network of militant proxies affords it the ability to threaten oil supplies coming out of the region. Iran has also revived its doomsday threat of closing down the Strait of Hormuz through which 20% of global oil supplies transit – which becomes a much fatter tail-risk if Iran comes to believe that the U.S. is genuinely pursuing immediate regime change, since the first-mover advantage in the strait is critical. This will keep markets jittery. Current OPEC spare capacity would allow the coalition to raise production to offset losses from Venezuela and Iran. Yet any additional losses – potentially from already unstable regions such as Libya, Algeria, or Nigeria – will raise the probability that global supplies are unable to cover demand. Going into the OPEC meeting in Vienna in late June, our Commodity & Energy Strategy expects OPEC 2.0 to relax supply cuts implemented since the beginning of the year. They expect production to be raised by 0.9mm b/d in 2H2019 vs. 1H2019.1 Nevertheless, oil producers will likely adopt a cautious approach when bringing supplies back online, wary of letting prices fall too far. This was expressed at the May Joint Ministerial Monitoring Committee meeting in Jeddah, which also highlighted the growing divergence of interests within the group. Russia is in support of raising production at a faster pace than Saudi Arabia, which favors a gradual increase (conditional on U.S. sanctions enforcement). Both the Iranians and Americans claim that they do not want the current standoff to escalate to war. On the American side, Trump is encouraging Prime Minister Shinzo Abe to try his hand as a mediator in a possible visit to Tehran in June. We would not dismiss this possibility since it could produce a badly needed “off ramp” for tensions to de-escalate when all other trends point toward a summer and fall of “fire and fury” between the U.S. and Iran. If forced to make a call, we think President Trump’s foreign policy priority will center on China, not Iran. But this does not mean that downside risks to oil prices will prevail. China will stimulate more aggressively in June and subsequent months. And regardless of Washington’s and Tehran’s intentions, a wrong move in an already heated part of the world can turn ugly very quickly. Bottom Line: President Trump’s foreign policy priority is China, not Iran. Nevertheless, a wrong move can trigger a nasty escalation in the current standoff, jeopardizing oil supplies coming out of the Gulf region. In response to this risk, OPEC 2.0 will likely move to cautiously raise production at the next meeting in late June. Meanwhile China’s stimulus overshoot in the midst of trade war will most likely shore up demand over the course of the year. Can A New Prime Minister Break The Deadlock In Westminster? “There is a limited appetite for change in the EU, and negotiating it won’t be easy.” - Outgoing U.K. Prime Minister Theresa May Prime Minister Theresa May’s resignation has hurled the Conservative Party into a scramble to select her successor. While the timeline for this process is straightforward,2 the impact on the Brexit process is not. The odds of a “no-deal Brexit” have increased but so has the prospect of parliament passing a soft Brexit prior to any new election or second referendum. The odds of a “no-deal Brexit” have increased. Eleven candidates have declared their entry to the race and the vast majority are “hard Brexiters” willing to sacrifice market access on the continent (Table 2). Prominent contenders such as Boris Johnson and Dominic Raab have stated that they are willing to exit the EU without a deal. Table 2“Hard Brexiters” Dominate The Tory Race GeoRisk Indicators Update: May 31, 2019 GeoRisk Indicators Update: May 31, 2019 Given that the average Tory MP is more Euroskeptic than the average non-conservative voter or Brit, the final two contenders left standing at the end of June are likely to shift to a more aggressive Brexit stance. They will say they are willing to deliver Brexit at all costs and will avoid repeating Theresa May’s mistakes. This means at the very least the rhetoric will be negative for the pound in the coming months. A clear constraint on the U.K. in trying to negotiate a new withdrawal agreement is that the EU has the upper hand. It is the larger economy and less exposed to the ramifications of a no-deal exit (though still exposed). This puts it in a position of relative strength – exemplified by the European Commission’s insistence on keeping the current Withdrawal Agreement. Whoever the new prime minister is, it is unlikely that he or she will be able to negotiate a more palatable deal with the EU. Rather, the new leader will lead a fractured Conservative Party that still lacks a strong majority in parliament. The no-deal option is the default scenario if an agreement is not finalized by the Halloween deadline and no further extension is granted. However, Speaker of the House of Commons John Bercow recently stated that the prime minister will be unable to deliver a no-deal Brexit without parliamentary support. This will likely manifest in the form of a bill to block a no-deal Brexit. Alternatively, an attempt to force a no-deal exit could prompt a vote of no confidence in the government, most likely resulting in a general election.3 Chart 5British Euroskeptics Made Gains In EP Election Spain: GeoRisk Indicator Spain: GeoRisk Indicator While the Brexit Party amassed the largest number of seats in the European Parliament elections at the expense of the Labour, Conservative, and UKIP parties (Chart 5), the results do not suggest that British voters have generally shifted back toward Brexit. In fact, if we group parties according to their stance, the Bremain camp has a slight lead over the Brexit camp (Chart 6). Thus, it is not remotely apparent that a hard Brexiter can succeed in parliament; that a new election can be forestalled if a no-deal exit is attempted; or that a second referendum will repeat the earlier referendum’s outcome. Chart 6Bremain Camp Still Dominates Russia: GeoRisk Indicator Russia: GeoRisk Indicator Bottom Line: While the new Tory leader is likely to be more on the hard Brexit end of the spectrum than Theresa May, this does not change the position of either the European Commission or the British MPs and voters on Brexit. The median voter both within parliament and the British electorate remains tilted towards a softer exit or remaining in the EU. This imposes constraints on the likes of Boris Johnson and Dominic Raab if they take the helm of the Tory Party. These leaders may ultimately be forced to try to push through something a lot like Theresa May’s plan, or risk a total collapse of their party and control of government. Still, the odds of a no-deal exit – the default option if no agreement is reached by the October 31 deadline – have gone up. In the meantime, the GBP will stay weak, gilts will remain well-bid, and risk-off tendencies will be reinforced. GeoRisk Indicators Update – May 31, 2019 Last month BCA’s Geopolitical Strategy introduced ten indicators to measure geopolitical risk implied by the market. These indicators attempt to capture risk premiums priced into various currencies – except for Euro Area countries, where the risk is embedded in equity prices. A currency or bourse that falls faster than it should fall, as implied by key explanatory variables, indicates increasing geopolitical risk. All ten indicators can be found in the Appendix, with full annotation. We will continue to highlight key developments on a monthly basis. This month, our GeoRisk indicators are picking up the following developments: Trade war: Our Korean and Taiwanese risk indicators are currently the best proxies to measure geopolitical risk implications of the U.S.-China trade war, as they are both based on trade data. Both measures, as expected, have increased more than our other indicators over the past month on the back of a sharp spike in tensions between the U.S. and China. Currently, the moves are largely due to depreciation in currencies, as trade is only beginning to feel the impact. We believe that we will see trade decline in the upcoming months. Brexit: While it is still too early to see the full effect of Prime Minister May’s resignation captured in our U.K. indicator, it has increased in recent days. We expect risk to continue to increase as a leadership race is beginning among the Conservatives that will raise the odds of a “no-deal exit” relative to “no exit.” EU elections: The EU elections did not register as a risk on our indicators. In fact, risk decreased slightly in France and Germany during the past few weeks, while it has steadily fallen in Spain and Italy. Moreover, the results of the election were largely in line with expectations – there was not a surprising wave of Euroskepticism. The real risks will emerge as the election results feed back into political risks in certain European countries, namely the U.K., where the hardline Conservatives will be emboldened, and Italy, where the anti-establishment League will also be emboldened. In both countries a new election could drastically increase uncertainty, but even without new elections the respective clashes with Brussels over Brexit and Italian fiscal policy will increase geopolitical risk. Emerging Markets: The largest positive moves in geopolitical risk were in Brazil and Turkey, where our indicators plunged to their lowest levels since late 2017 and early 2018. Brazilian risk has been steadily declining since pension reform – the most important element of Bolsonaro’s reform agenda – cleared an initial hurdle in Congress. While we would expect Bolsonaro to face many more ups and downs in the process of getting his reform bill passed, we have a high conviction view that the decrease in our Turkish risk indicator is unwarranted. This decrease can be attributed to the fact that the lira’s depreciation in recent weeks is slowing, which our model picks up as a decrease in risk. Nonetheless, uncertainty will prevail as a result of deepening political divisions (e.g. the ruling party’s attempt to overturn the Istanbul election), poor governance, ongoing clashes with the West, and an inability to defend the lira while also pursuing populist monetary policy. Roukaya Ibrahim, Editor/Strategist Geopolitical Strategy roukayai@bcaresearch.com Matt Gertken, Vice President Geopolitical Strategist mattg@bcaresearch.com Ekaterina Shtrevensky, Research Analyst ekaterinas@bcaresearch.com   France: GeoRisk Indicator Image U.K.: GeoRisk Indicator Image Germany: GeoRisk Indicator Image Italy: GeoRisk Indicator Image Spain: GeoRisk Indicator Image Russia: GeoRisk Indicator Image Korea: GeoRisk Indicator Image Taiwan: GeoRisk Indicator Image Turkey: GeoRisk Indicator Image Brazil: GeoRisk Indicator Image What's On The Geopolitical Radar? Image Footnotes 1 Please see BCA Research Commodity & Energy Strategy Weekly Report titled “Policy Risk Sustains Oil’s Unstable Equilibrium,” dated May 23, 2019, available at ces.bcaresearch.com. 2 The long list of candidates will be whittled down to two by the end of June through a series of votes by Tory MPs. Conservative Party members will then cast their votes via a postal ballot with the final result announced by the end of July, before the Parliament’s summer recess. 3 A vote of no confidence would trigger a 14-day period for someone else to form a government, otherwise it will result in a general election. Geopolitical Calendar

Highlights Global financial markets are currently dealing with a fresh round of uncertainty related to U.S.-China trade tensions. Yet while equities and government bond yields have fallen in response to the U.S. imposition of tariffs and escalation of the trade war with China, corporate bond markets in the developed economies have been relatively well-behaved (so far). Credit spreads have only widened modestly, which perhaps should not be surprising given central bankers’ increasingly dovish bias combined with early signs of a cyclical global growth rebound (Chart 1). Feature Chart 1Global Corporates: Shifting To A Friendlier Growth Backdrop? Global Corporates: Shifting To A Friendlier Growth Backdrop? Global Corporates: Shifting To A Friendlier Growth Backdrop? With that in mind, this week we are presenting the latest update of our Corporate Health Monitor (CHM) Chartbook. The CHMs are composite indicators of balance sheet and income statement ratios (using both top-down and bottom-up data) that are designed to assess the financial well-being of the overall non-financial corporate sectors in the major developed economies. A brief overview of the methodology is presented in Appendix 1 on page 15. The main conclusion from the latest readings on our CHMs is that slower economic growth over the past year has resulted in some erosion of overall global credit quality. The deterioration was most pronounced in the more economically fragile regions that have suffered the deepest pullbacks in growth: Europe and Japan. The CHMs are currently giving an overall “neutral” signal in the U.S., although there are some worrying trends developing within the sub-components like interest coverage and short-term liquidity. Meanwhile, the CHMs in the U.K. and Canada are showing modest cyclical deterioration from very strong levels. Broadly speaking, the CHMs support our main global corporate bond market investment recommendations: a tactical aggregate overweight versus global government bonds, with a regional bias favoring the U.S. over Europe, and a quality bias tilted towards U.S. high-yield (HY) over investment grade (IG). Renewed U.S.-China trade hostilities represent a threat to that pro-cyclical fixed income asset allocation, although we expect more aggressive responses from policymakers on both sides (more fiscal and monetary stimulus in China, a more dovish bias from the Fed) to offset any tariff-induced weakness in growth. U.S. Corporate Health Monitors: Cyclically OK, But Longer-Term Problems Are Brewing Our top-down U.S. CHM is sending a neutral message on credit quality, sitting right on the threshold separating “deteriorating health” from “improving health” (Chart 2). The indicator, however, has been trending in a direction showing improving credit metrics over the past year. From a fundamental perspective, the top-down U.S. CHM suggests that the U.S. credit cycle is being extended by the stubborn endurance of the U.S. business cycle.  The resilience of the U.S. economy, combined with the positive impact on U.S. profitability from the Trump corporate tax cuts, has put U.S. companies in a cyclically healthier position, even with relatively high leverage. The ratios directly related to corporate profits that go into the top-down CHM – return on capital, profit margins and interest coverage – have all gone up over the past year, generating the bulk of the directional improvement in the top-down CHM. From a fundamental perspective, the top-down U.S. CHM suggests that the U.S. credit cycle is being extended by the stubborn endurance of the U.S. business cycle. In other words, there are no immediate domestic pressures on U.S. corporate finances that should require significantly wider credit spreads to compensate for rising downgrade/default risk. That does not mean that all the news is good, however. The short-term liquidity ratio has fallen sharply and is now at levels last seen in the years leading up to the 2008 Financial Crisis. Similar deteriorations can be seen in the short-term liquidity ratios within the bottom-up versions of our U.S. CHMs for IG corporates (Chart 3) and HY companies (Chart 4). Coming at a time when interest coverage ratios have been steadily declining for IG, and are already at low levels for HY, declining short-term liquidity would leave U.S. corporates highly vulnerable during the next economic downturn. Chart 2Top-Down U.S. CHM: A Neutral Reading Top-Down U.S. CHM: A Neutral Reading Top-Down U.S. CHM: A Neutral Reading Chart 3Bottom-Up U.S. IG CHM: Modest Deterioration With Worrying Trends Bottom-Up U.S. IG CHM: Modest Deterioration With Worrying Trends Bottom-Up U.S. IG CHM: Modest Deterioration With Worrying Trends We see no reason yet to exit our tactical overweight stance on U.S. IG and HY corporates versus both U.S. Treasuries and non-U.S. corporates. For now, however, the message from our bottom-up U.S. CHMs is the same as that from our top-down U.S. CHM, with all hovering near the zero line suggesting no major deterioration in overall credit quality. We see no reason yet to exit our tactical overweight stance on U.S. IG and HY corporates versus both U.S. Treasuries and non-U.S. corporates (Chart 5). Our favored indicators continue to point to a rebound in global growth in the latter half of 2019, and the Fed currently has no desire to push the funds rate into restrictive territory, so the risk/reward over the next six months still favors staying overweight U.S. corporates. The medium-term outlook, however, is far more challenging given the growing body of evidence pointing to the advanced age of the U.S. credit cycle, such as falling interest coverage and liquidity. Chart 4Bottom-Up U.S. HY CHM: A Cyclical Improvement, Nothing More Bottom-Up U.S. HY CHM: A Cyclical Improvement, Nothing More Bottom-Up U.S. HY CHM: A Cyclical Improvement, Nothing More Chart 5U.S. Corporates: Stay Tactically Overweight IG & HY U.S. Corporates: Stay Tactically Overweight IG & HY U.S. Corporates: Stay Tactically Overweight IG & HY One final point – in Appendix 2 starting on page 17, we present bottom-up CHMs for the main industry sector groupings of companies that go into our overall U.S. IG CHM. Most of the sector CHMs are hovering near the zero line, but two industry groupings stand out as having a rising CHM that is now well within “deteriorating health” territory – Consumer Staples and Utilities. Euro Corporate Health Monitors: Worsened By Weaker Growth The message from our bottom-up CHMs for the euro area shows that there was some damage done to credit quality from last year’s growth slump, evidenced by lower profit margins and interest coverage ratios. Although overall credit quality remains fairly neutral (i.e. the CHMs remain near the zero line). For euro area IG, the gap between domestic and foreign issuers in the euro area corporate bond market continues to widen, with the former now slightly in the “deteriorating health” zone (Chart 6). Profit margins have fallen far more sharply for domestic issuers, reflecting the very rapid slowing of euro area growth over the latter half of 2019. Interest coverage for domestic issuers is also lower than for foreign issuers, while short-term liquidity ratios have weakened for both over the past year. For euro area HY, the signal from the bottom-up CHM is more consistently positive between domestic and foreign issuers (Chart 7). Leverage has declined, but profit-based metrics have worsened for both sets of issuers. Interest/debt coverage and liquidity, however, are far worse for domestic issuers. Chart 6Bottom-Up Euro Area IG CHMs: Weaker Growth Hitting Domestic Issuers Bottom-Up Euro Area IG CHMs: Weaker Growth Hitting Domestic Issuers Bottom-Up Euro Area IG CHMs: Weaker Growth Hitting Domestic Issuers Chart 7Bottom-Up Euro Area HY CHMs: Healthier Through Lower Leverage Bottom-Up Euro Area HY CHMs: Healthier Through Lower Leverage Bottom-Up Euro Area HY CHMs: Healthier Through Lower Leverage Within the euro area, our bottom-up IG CHMs for Core and Periphery countries have worsened over the past year, from healthy levels, and are now hovering just above the zero line (Chart 8). Interest coverage is considerably stronger for Core issuers, although profitability metrics are remarkably similar. Short-term liquidity ratios have also fallen for both regional groups over the past year. The spread tightening already seen in euro area credit is too extreme relative to the still sluggish pace of economic growth in the region. Despite the lack of a major overall negative signal from the euro area CHMs, we are only maintaining a neutral allocation to euro area corporates, even within our current overweight stance on overall global corporates (Chart 9). The spread tightening already seen in euro area credit is too extreme relative to the still sluggish pace of economic growth in the region. This will inhibit the ability for spreads to tighten further in the event of a pickup in growth, while also leaving spreads vulnerable to widening pressures if euro area growth continues to languish. Chart 8Bottom-Up Euro Area Regional IG CHMs: Trending In The Wrong Direction Bottom-Up Euro Area Regional IG CHMs: Trending In The Wrong Direction Bottom-Up Euro Area Regional IG CHMs: Trending In The Wrong Direction Chart 9Euro Area Corporates: Stay Tactically Neutral IG & HY Euro Area Corporates: Stay Tactically Neutral IG & HY Euro Area Corporates: Stay Tactically Neutral IG & HY Chart 10Relative Bottom-Up CHMs: Continue To Favor U.S. Over Europe Relative Bottom-Up CHMs: Continue To Favor U.S. Over Europe Relative Bottom-Up CHMs: Continue To Favor U.S. Over Europe In addition, we are sticking with our preference to favor U.S. corporates – both IG and HY – over euro area equivalents for two important reasons: stronger U.S. growth and better U.S. corporate health. The gap between the combined IG/HY bottom-up CHMs for the U.S. and euro area has been strongly correlated to the difference in credit spreads between euro area and U.S. issuers (Chart 10).1 The latest trends show a narrowing of the gap between the U.S. and euro area CHMs, suggesting relative corporate health favors U.S. names (middle panel). At the same time, the relatively stronger performance of the U.S. economy continues to support U.S. corporate performance versus euro area equivalents (bottom panel). U.K. Corporate Health Monitor: Brexit Uncertainty Is Not Helping Our top-down U.K. CHM remains in the “improving health” zone, although the indicator has been drifting towards “deteriorating health” over the past two years. Almost all of the components of the U.K. CHM have contributed to this worsening trend (Chart 11), with only short-term liquidity remaining in a powerful multi-year uptrend. Most worryingly, the interest and debt coverage ratios remain historically depressed, even as the Bank of England has keep interest rates at extraordinarily low levels for the past several years. The cyclical deterioration in the U.K. CHM components can be traced to the sluggish performance of the U.K. economy and corporate profits.   The cyclical deterioration in the U.K. CHM components can be traced to the sluggish performance of the U.K. economy and corporate profits. The persistent uncertainty from Brexit has weighed on business confidence and investment spending by U.K. firms, keeping growth at a below-trend pace. While the immediate deadline of “Brexit Day” came and went back in March, there is still a high degree of uncertainty over the U.K.’s future economic relationship with the European Union. With Prime Minister Theresa May now set to step down, an election will extend the period of politically-driven uncertainty in the U.K. We have maintained a moderate underweight recommendation on U.K. corporates in our model bond portfolio over the past year, despite the lack of an obvious negative signal from our U.K. CHM. Spread widening in 2018 has been followed by spread tightening in 2019 (Chart 12), but the latter has been driven by the global rally in risk assets rather than diminished perceptions of U.K. political risk. Chart 11U.K. Top-Down CHM: Modest Pullback From Healthy Levels U.K. Top-Down CHM: Modest Pullback From Healthy Levels U.K. Top-Down CHM: Modest Pullback From Healthy Levels Chart 12U.K. Corporates: Stay Modestly Underweight U.K. Corporates: Stay Modestly Underweight U.K. Corporates: Stay Modestly Underweight Although there has been some improvement in U.K. economic data of late, leading economic indicators continue to trend lower. In addition, the Bank of England continues to hint that any positive resolution to the Brexit uncertainty could result in a tightening of monetary policy (although that is less of a threat given the synchronized dovish turn by global central bankers over the past few months). Given all the uncertainties, the risk/reward balance continues to favor a modest underweight in U.K. corporates, particularly at current tight spread levels to Gilts. Japan Corporate Health Monitor: A Modest Cyclical Deterioration Our bottom-up Japan CHM has shown a worsening trend over the past year and now sits in the “deteriorating health” zone (Chart 13).2 Interestingly, all of the individual components have contributed to that move in the CHM, and not just the cyclical components (profit margins, return on capital, interest coverage) that reflect the recent slowing of economic growth in Japan. Leverage has increased (albeit from very low levels), while short-term liquidity has also weakened (albeit from very high levels). Strictly looking at the overall level of all the Japan CHM components, the message does not signal a major deterioration in Japanese corporate credit quality. Leverage, defined here as the ratio of total debt to the book value of equity, is still below 100%, well below the 100-140% range seen between 2006 and 2015. The same story applies to the return on capital, which at 5% is still high versus Japan’s history (although very low by global standards). Interest coverage and short-term liquidity both remain high relative to the past decade. The absolute level of Japanese corporate health remains solid, but there has been marginal deterioration from weaker economic growth. On that front, the cyclical momentum in Japan’s economy is not improving. According to the latest Tankan survey, Japanese firms reported that their business outlook was worse than previously expected. Declining confidence has damaged capital spending, as shown by the falling growth of domestic machinery and machine tool orders. Japan’s economy remains highly levered to global growth and export demand and their economy has taken a hit from the slower pace of global trade over the past year. Wage growth has also weakened after finally seeing some positive momentum in 2018, which is weighing on consumer confidence and spending. Japan’s corporate spread has widened slightly (+5bps) since the beginning of this year (Chart 14), in contrast to the spread tightening seen in other major developed economy corporate bond markets (the Bloomberg Barclays Global Corporates index spread has tightened by -33bps year-to-date). This is a sign that the markets have responded to the slowing growth momentum in Japan with a bit of a wider risk premium. Yet despite that widening, Japanese corporates with small positive yields continue to generate positive excess returns versus Japanese Government Bonds (JGBs) with yields held near zero by the Bank of Japan’s Yield Curve Control policy. Thus, we continue to recommend an overweight stance on Japanese corporates vs JGBs as a buy-and-hold carry trade, even with the softening in our Japan CHM. Chart 13Japan Bottom-Up CHM: Cyclical Deterioration Japan Bottom-Up CHM: Cyclical Deterioration Japan Bottom-Up CHM: Cyclical Deterioration Chart 14Japan Corporates: Stay Overweight Vs JGBs For Carry Japan Corporates: Stay Overweight Vs JGBs For Carry Japan Corporates: Stay Overweight Vs JGBs For Carry Canada Corporate Health Monitor: Still In Decent Shape Our top-down and bottom-up Canadian CHMs indicate an improving trend in Canadian corporate health, with both remaining in the “improving health” area over the past few years (Chart 15). The marginal moves have shown some modest deterioration in the cyclically-sensitive components (most notably, return on capital and profit margins for the top-down Canadian CHM). This should not be surprising given how rapidly Canadian economic growth slowed in the final quarter of 2018. There has also been some deterioration in the non-cyclical components. Leverage is high and rising, while the absolute levels of return on capital and debt/interest coverage are historically low. This may be building up risks for the next major Canadian economic downturn, but for now, Canadian companies look in decent shape. With so much of Canada’s economy (and its financial markets) geared to the performance of the energy sector, the recent recovery in global oil prices is a significant boost for the overall Canadian corporate market. Our commodity strategists see additional upside in oil prices over the next six months, which will further underpin the health of Canadian oil companies – and should also help support Canadian corporate bond performance. The Bank of Canada is now taking an extended pause from its rate-hiking cycle, with policy rates well below the central bank’s own estimate of neutral (2.25-3.25%). Accommodative monetary conditions and relatively low Canadian interest rates will continue to make Canadian corporates attractive, in an environment of decent growth and firm corporate health. Chart 15Canada CHMs: Still Healthy, Despite Slower Growth Canada CHMs: Still Healthy, Despite Slower Growth Canada CHMs: Still Healthy, Despite Slower Growth Chart 16Canadian Corporates: Stay Overweight Vs Canadian Govt. Debt Canadian Corporates: Stay Overweight Vs Canadian Govt. Debt Canadian Corporates: Stay Overweight Vs Canadian Govt. Debt We continue recommending an overweight position in Canadian corporate debt relative to Canadian government bonds as a carry trade. Spreads have been in a very stable range since the 2009 recession (Chart 16), ranging between 100-200bps even during periods when our CHMs were indicating worsening corporate health. To break out of that range to the upside, we would need to see a prolonged deterioration of Canadian economic growth or sharp monetary tightening from the Bank of Canada – neither outcome is likely over the next 6-12 months.   Robert Robis, CFA, Chief Fixed Income Strategist rrobis@bcaresearch.com Ray Park, CFA, Research Analyst ray@bcaresearch.com   Appendix 1: An Overview Of The BCA Corporate Health Monitors The BCA Corporate Health Monitor (CHM) is a composite indicator designed to assess the underlying financial strength of the corporate sector for a country. The Monitor is an average of six financial ratios inspired by those used by credit rating agencies to evaluate individual companies. However, we calculate our ratios using top-down (national accounts) data for profits, interest expense, debt levels, etc. The idea is to treat the entire corporate sector as if it were one big company, and then look at the credit metrics that would be used to assign a credit rating to it. Importantly, only data for the non-financial corporate sector is used in the CHM, as the measures that would be used to measure the underlying health of banks and other financial firms are different than those for the typical company. The six ratios used in the CHM are shown in Table 1 below. To construct the CHM, the individual ratios are standardized, added together, and then shown as a deviation from the medium-term trend. That last part is important, as it introduces more cyclicality into the CHM and allows it to better capture major turning points in corporate well-being. Largely because of this construction, the CHM has a very good track record at heralding trend changes in corporate credit spreads (both for Investment Grade and High-Yield) over many cycles. Table 1Definitions Of Ratios That Go Into The CHMs BCA Corporate Health Monitor Chartbook: Growth Powdering Over Some Warts BCA Corporate Health Monitor Chartbook: Growth Powdering Over Some Warts Top-down CHMs are now available for the U.S., euro area, the U.K. and Canada. The CHM methodology was extended in 2016 to look at corporate health by industry and by credit quality.3 The financial data of a broad set of individual U.S. and euro area companies was used to construct individual “bottom-up” CHMs using the same procedure as the more familiar top-down CHM. Some of the ratios differ from those used in the top-down CHM (see Table 1), largely due to definitional differences in data presented in national income accounts versus those from actual individual company financial statements. The bottom-up CHMs analyze the health of individual sectors, and can be aggregated up into broad CHMs for Investment Grade and High-Yield groupings to compare with credit spreads. In 2018, we introduced bottom-up CHMs for Japan and Canada. With the country expansion of our CHM universe, we now have coverage for 92% of the Bloomberg Barclays Global Aggregate Corporate Bond Index (Appendix Chart 1). Image Appendix 2: U.S. Bottom-Up CHMs For Selected Sectors APPENDIX 2: ENERGY SECTOR APPENDIX 2: ENERGY SECTOR APPENDIX 2: MATERIALS SECTOR APPENDIX 2: MATERIALS SECTOR   APPENDIX 2: COMMUNICATIONS SECTOR APPENDIX 2: COMMUNICATIONS SECTOR APPENDIX 2: CONSUMER DISCRETIONARY SECTOR APPENDIX 2: CONSUMER DISCRETIONARY SECTOR APPENDIX 2: CONSUMER STAPLES SECTOR APPENDIX 2: CONSUMER STAPLES SECTOR APPENDIX 2: HEALTH CARE SECTOR APPENDIX 2: HEALTH CARE SECTOR APPENDIX 2: INDUSTRIALS SECTOR APPENDIX 2: INDUSTRIALS SECTOR APPENDIX 2: TECHNOLOGY SECTOR APPENDIX 2: TECHNOLOGY SECTOR APPENDIX 2: UTILITIES SECTOR APPENDIX 2: UTILITIES SECTOR     Footnotes 1 We only use the CHMs for euro area domestic issuers in this aggregate bottom-up CHM, as this is most reflective of uniquely European corporate credits. This also eliminates double-counting from U.S. companies that issue in the euro area market that are part of our U.S. CHMs. 2 We do not currently have a top-down CHM for Japan given the lack of consistent government data sources for all the necessary components. 3 Please see Section II of The Bank Credit Analyst, “U.S. Corporate Health Gets A Failing Grade”, dated February 2016, available at bca.bcaresearch.com. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index BCA Corporate Health Monitor Chartbook: Growth Powdering Over Some Warts BCA Corporate Health Monitor Chartbook: Growth Powdering Over Some Warts Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns

Highlights Recent data suggest central bankers remain behind the curve in boosting inflation expectations. Ergo, expect a dovish bias to persist over the next few months. Our thesis remains that global growth is in a volatile bottoming process. However, market focus could temporarily flip towards short term data weakness, which warrants taking out some insurance. Meanwhile, in an environment where volatility is low and falling, it also pays to have insurance in place. Rising net short positioning in the yen and Swiss franc is making them attractive from a contrarian standpoint. Maintain a limit-buy on CHF/NZD at 1.45. The path of least resistance for the dollar remains down. This is confirmed by incoming data that suggests the euro area economies have bottomed, which should boost the EUR/USD. The rising dollar shortage remains a key risk to our sanguine view. But the forces driving dollar liquidity lower are largely behind us. Feature Investors looking for more clarity on the global growth picture from the April data print have been left in a quandary. In the U.S., the headline first-quarter real GDP growth number of 3.2% was well above consensus but was boosted by volatile components such as inventories and net exports. Real final sales to domestic purchasers, a cleaner print for final demand, came in at 1.5%, the lowest increase since 2015. Assuming trend growth in the U.S. is around 2%, a view shared by the Federal Open Market Committee (FOMC), then the increase in first-quarter final sales was a big miss. Most importantly, the U.S. ISM manufacturing index fell to 52.8 in April, a drop that was broad-based across seven of the 10 components. Chart I-1At The Cusp Of A V-Shaped Recovery? At The Cusp Of A V-Shaped Recovery? At The Cusp Of A V-Shaped Recovery? Across the ocean, European growth was a tad stronger. Italy managed to nudge itself out of a technical recession, while Spanish year-on-year growth of 2.4% helped drive euro area GDP growth to the tune of 1.2%. The most volatile components of euro area growth tend to be investment and net exports. Should both pick up on the back of stronger external demand, then GDP could easily gravitate towards 1.5%-2%, pinning it well above potential. The German PMI is currently one of the weakest in the euro zone. But forward-looking indicators suggest we are at the cusp of a V-shaped bottom over the next month or so (Chart I-1). China remains the epicenter of any growth pickup and the headline PMI numbers were soft, with the official NBS manufacturing PMI falling to 50.1 from 50.5, and the private sector Caixin manufacturing PMI falling to 50.2 from 50.8. Still, the numbers remain above the critical 50 threshold level, and well beyond the 45-48 danger zone. Export growth numbers across southeast Asia remain weak, and after a brisk rise since the start of the year, many China plays including commodity prices, the yuan, emerging market stocks, and Asian currencies are all rolling over. The bearish view is that there are diminishing marginal returns to Chinese stimulus, and the authorities need to be more aggressive to turn the domestic economy around. The reality is that policy stimulus works with a lag, and we need about three to six months before we see the effects of the current policy shift. Southeast Asian exports track the Chinese credit impulse with a lag of six months, and there is little reason to believe this time should be different (Chart I-2). Chart I-2Global Trade Should Soon Bottom Global Trade Should Soon Bottom Global Trade Should Soon Bottom The broad message is that global growth likely bottomed in the first quarter. However, before evidence of this fully unfolds, markets are likely to be swayed by the ebbs and flows of higher-frequency data, making for a volatile bottoming process. We recommend maintaining a pro-cyclical bias, but taking out some insurance against a potential spike in volatility.  The Fed On Hold This week’s FOMC meeting focused on the lack of inflationary pressures in the U.S. but was largely a non-event for financial markets, aside from a spike in volatility. Nonetheless, there were three key takeaways. First, the dip in inflation appears to be “transitory,” driven by lower clothing prices and financial services fees. Second, Chair Powell made it clear that the Fed will only feel the need to ease policy if inflation runs “persistently” below target. Finally, the Fed’s interpretation of its “symmetric” inflation target is slowly shifting. Many FOMC members increasingly believe that the Fed should explicitly pursue an overshoot of its 2% inflation target to make up for past misses. Taken together, we expect the Fed to remain on hold for the time being, but to eventually start raising rates again as inflationary pressures pick up. Chart I-3Inflation Should Be Higher In The U.S. Versus The Euro Area Inflation Should Be Higher In The U.S. Versus The Euro Area Inflation Should Be Higher In The U.S. Versus The Euro Area The bigger picture is that in a very globalized world with fully flexible exchange rates, it is becoming more and more difficult for any one central bank to independently achieve its inflation objective. This is because, should inflation be on the rise and moving higher in one country, expectations of higher interest rates should lift its currency, which eventually tempers inflationary pressures, and vice versa. This is obviously a very simplistic view of the world economy, since other factors such as demographics, productivity, labor mobility, openness of the economy, and policy divergences among others, play important roles. However, it is remarkable that almost every developed market central bank has continued to attempt to boost inflation to the 2% level since the Global Financial Crisis, but very few have been able to achieve this independently. In a very globalized world with fully flexible exchange rates, it is becoming more and more difficult for any one central bank to independently achieve its inflation objective.  Take the case of Europe versus the U.S., two economies that could not be more different. Euro area imports constitute about 41% of GDP, while the number in the U.S. is only 15%, so tradeable prices matter a lot more for the former. Meanwhile, the demographic profile is worse in Europe, with the old-age dependency ratio at 32% in Europe versus 23% in the U.S. Finally, other measures of supply-side constraints such as labor market slack or capacity utilization suggest the euro area is well behind the U.S. on the path toward a closed output gap (Chart I-3). Despite this, since 2015, headline inflation in both the U.S. and euro area have moved tick-for-tick. Yes, policy divergences between the two countries have been very wide, either via the lens of quantitative easing or simply the differential in policy rates (Chart I-4). But the fact that the magnitude and direction of overall inflation has moved homogenously, begs the question of the ability of either central bank to influence overall prices. One explanation could be that variations in headline CPI are largely driven by volatile items that tend to be exogenous, while variations in core CPI tend to be mostly driven by endogenous factors. This is confirmed by most research that suggest there is a weak link between rising commodity prices and longer-term inflation.1 That said, over the shorter run, commodity price gyrations can dominate and be the main driver of inflation expectations (Chart I-5). Chart I-4U.S. And Euro Area Overall CPI Are Broadly Similar U.S. And Euro Area Overall CPI Are Broadly Similar U.S. And Euro Area Overall CPI Are Broadly Similar Chart I-5In The Short Term, Commodity Prices Matter For Inflation Expectations In The Short Term, Commodity Prices Matter For Inflation Expectations In The Short Term, Commodity Prices Matter For Inflation Expectations The bottom line is that muted inflationary pressures are a global phenomenon, and not centric to the U.S. This means that as a whole, global central banks are set to stay accommodative for the time being, which will be bullish for global growth (Chart I-6). This warrants maintaining a pro-cyclical stance but being extremely selective in what might be a volatile bottoming process. Chart I-6Global Monetary Policy Needs To Ease Further bca.fes_wr_2019_05_03_s1_c6 bca.fes_wr_2019_05_03_s1_c6 Maintain A Pro-Cyclical Stance With the S&P 500 breaking to all-time highs, crude oil prices up around 40% from their lows, and U.S. 10-year Treasury yields rolling over relative to the rest of the world, this has historically been fertile ground for high-beta currency trades. That said, the lack of more pronounced strength in pro-cyclical currencies like the Australian, New Zealand, and Canadian dollars suggest that caution prevails. Our bias is that currency markets continue to fight a tug-of-war between strong dollar fundamentals and fading tailwinds. Our portfolio consists mostly of trades along the crosses, but we have been cautiously adding to U.S. dollar short positions over the past few weeks: Long AUD/USD: Our limit-buy on the Aussie was triggered at 0.70. Data out of Australia are showing tentative signs of a bottom. Last week’s important jobs report showed that the economy continues to offer more employment than the consensus expects. Meanwhile, the credit growth data out of Australia this week suggests that macro-prudential policies continue to drive a wedge between owner-occupied and investor housing (Chart I-7). House prices in Australia are already deflating to the tune of around 6%. Once the cleansing process is through, we expect house price growth to eventually converge toward levels of credit and/or natural income growth. Moreover, the Australian dollar remains a commodity currency, and will benefit from rising terms-of-trade. Iron ore prices remain firm on the back of supply-related issues. Meanwhile, a rising mix of liquefied natural gas in the export basket will provide tailwinds as China continues to steer its economy away from coal. Finally, Chinese credit growth has been a key determinant of the re-rating of Australian equities. Ergo, a rising Chinese credit impulse will ignite Australian share prices, and by extension the Australian dollar (Chart I-8). Chart I-7Australian Credit Growth Converging To Steady State Australian Credit Growth Converging To Steady State Australian Credit Growth Converging To Steady State Chart I-8More Chinese Credit Will Help Australian Equities More Chinese Credit Will Help Australian Equities More Chinese Credit Will Help Australian Equities Long GBP/USD: Our buy-limit order on the British pound was triggered at 1.30 on March 29th. As we argued back then, the pound is sitting exactly where it was after the 2016 referendum results, but the odds of a hard Brexit have significantly fallen since then. On the domestic front, economic surprises in the U.K. relative to both the U.S. and euro area continue to soar. The reality is that the pound and U.K. gilt yields should be much higher – solely on the basis of hard incoming data. Employment growth has been holding up very well, wages are inflecting higher, and the average U.K. consumer appears in decent shape. Full-time employees continue to creep higher as a percentage of overall employment (Chart I-9). This view was echoed in yesterday’s Bank Of England (BoE) policy meeting, where the central bank raised its growth forecast while striking a more hawkish tone. Chart I-9U.K.: What Brexit? U.K.: What Brexit? U.K.: What Brexit? Chart I-10Sweden: Volatile Bottom Sweden: Volatile Bottom Sweden: Volatile Bottom   Long SEK/USD: The Swedish krona should be one of the first currencies to benefit from any bottoming in European growth (Chart I-10). The Swedish economy appears to have bottomed relative to that of the U.S., making the USD/SEK an attractive way to play USD downside. From a technical perspective, the cross is trading at its lowest level since the global financial crisis (Chart I-11). Economic surprises in the U.K. relative to both the U.S. and euro area continue to soar. The main appeal of the Swedish krona is that it is extremely cheap. Meanwhile, despite negative interest rates, Swedish household loan growth has been slowing as consumers are increasingly financing purchases through rising wages. This will alleviate the need for the Riksbank to maintain ultra-accommodative policy, despite its recent dovish shift. Buy Some Insurance Given current low levels of volatility and elevated equity market valuations, the dollar would have been a great insurance policy for any stock market correction. But with U.S. interest rates having risen significantly versus almost all G10 countries in recent years, the dollar has itself become the object of carry trades. This has also come with a good number of unhedged trades, as the rising exchange rate has lifted hedging costs.  Chart I-11How Much Lower Could The Swedish Krona Go? How Much Lower Could The Swedish Krona Go? How Much Lower Could The Swedish Krona Go? Chart I-12Buy Some##br## Insurance Buy Some Insurance Buy Some Insurance It will be difficult for the dollar to act as both a safe-haven and carry currency, because the forces that drive both move in opposite directions. As markets become volatile and some carry trades are unwound, unhedged trades will become victim to short-covering flows. Currencies such as the Japanese yen and the Swiss franc that could have been used to fund carry trades are ripe for reversals. This suggests at a minimum building some portfolio hedges. One such hedge is going long the CHF/NZD. This trade has a high negative carry, so we do not intend to hold it for longer than three months. But it should pay off handsomely on any rise in volatility (Chart I-12). Maintain a limit-buy at 1.45.   Chester Ntonifor, Foreign Exchange Strategist chestern@bcaresearch.com Footnotes 1 Stephen G Cecchetti and Richhild Moessner, “Commodity Prices And Inflation Dynamics,” Bank Of International Settlements, Quarterly Review, (December 2008). Currencies U.S. Dollar Chart II-1USD Technicals 1 USD Technicals 1 USD Technicals 1 Chart II-2USD Technicals 2 USD Technicals 2 USD Technicals 2 Recent data in the U.S. continue to moderate: Annualized Q1 GDP came in at 3.2% quarter-on-quarter, well above estimates. Personal income increased by 0.1% month-on-month in March, below the estimated 0.4%. On the other hand, personal spending increased by 0.9% month-on-month in March. PCE deflator and core PCE deflator fell to 1.5% and 1.6% year-on-year, respectively in March. Michigan consumer sentiment index slightly increased to 97.2 in April. Markit manufacturing PMI increased from 52.4 to 52.6 in April, while ISM manufacturing PMI fell to 52.8. Q1 nonfarm productivity increased by 3.6%, surprising to the upside. DXY index fell by 0.3% this week. On Wednesday, the Fed announced their decision to keep interest rates on hold at current levels, further suggesting that there is no strong case to move rates in either direction based on recent economic developments. Moreover, Fed chair Powell reiterated their strong commitment to the 2% inflation target. Report Links: Currency Complacency Amid A Global Dovish Shift - April 26, 2019 Beware Of Diminishing Marginal Returns- April 19, 2019 Not Out Of The Woods Yet - April 5, 2019 The Euro Chart II-3EUR Technicals 1 EUR Technicals 1 EUR Technicals 1 Chart II-4EUR Technicals 2 EUR Technicals 2 EUR Technicals 2 Recent data in the euro area are improving: Money supply (M3) in the euro area increased by 4.5% year-on-year in March. The sentiment in the euro area remains soft in April: economic sentiment indicator fell to 104; business climate fell to 0.42; industrial confidence fell to -4.1; consumer confidence was unchanged at -7.9. Q1 GDP came in at 1.2% year-on-year, surprising to the upside. Unemployment rate fell to 7.7% in March. Markit PMI increased to 47.9 in April. EUR/USD appreciated by 0.3% this week. European data keep grinding higher. Italian GDP moved back into positive territory in Q1. Spanish GDP also rebounded in Q1. Positive Chinese credit data suggests the euro will soon benefit from rising Chinese imports.  Report Links: Reading The Tea Leaves From China - April 12, 2019 Into A Transition Phase - March 8, 2019 A Contrarian Bet On The Euro - March 1, 2019 Japanese Yen Chart II-5JPY Technicals 1 JPY Technicals 1 JPY Technicals 1 Chart II-6JPY Technicals 2 JPY Technicals 2 JPY Technicals 2 Recent data in Japan have been positive: The unemployment rate in March increased slightly to 2.5%; job-to-applicant ratio was unchanged at 1.63. Tokyo consumer price inflation increased to 1.4% year-on-year in March, the highest level since October 2018. Industrial production fell by 4.6% year-on-year in March. However, projections for April suggest a 2.7% month-on-month jump. Retail sales grew by 1% year-on-year in March, higher than expected. Housing starts grew by 10% year-on-year in March. This is the highest growth level since February 2017. USD/JPY fell by 0.2% this week. The Japanese government’s intention to raise sales tax this October could be a highly deflationary outcome. However, there is still an outside chance that the tax hike will be postponed. We continue to recommend yen as a safety hedge. Report Links: Beware Of Diminishing Marginal Returns - April 19, 2019 Tug OF War, With Gold As Umpire - March 29, 2019 A Trader’s Guide To The Yen - March 15, 2019 British Pound Chart II-7GBP Technicals 1 GBP Technicals 1 GBP Technicals 1 Chart II-8GBP Technicals 2 GBP Technicals 2 GBP Technicals 2 Recent data in the U.K. have been positive: U.K. mortgage loans in March increased to 40K.  Nationwide housing prices increased by 0.9% on a year-on-year basis in April. Markit manufacturing PMI came in above expectations at 53.1 in April, even though it fell; Markit construction PMI however increased to 50.5. Money supply (M4) increased by 2.2% year-on-year in March. GBP/USD increased by 1% this week. The Bank of England kept rates on hold at 0.75% this week. In the May inflation report, the BoE mentioned that U.K.’s economic outlook will depend significantly on the nature and timing of EU withdrawal, and the new trading agreement with EU in particular. But governor Carney struck a slightly hawkish tone, revising up GDP estimates and guiding the next policy move as a rate hike. Report Links: Not Out Of The Woods Yet - April 5, 2019 A Trader’s Guide To The Yen - March 15, 2019 Balance Of Payments Across The G10 - February 15, 2019 Australian Dollar Chart II-9AUD Technicals 1 AUD Technicals 1 AUD Technicals 1 Chart II-10AUD Technicals 2 AUD Technicals 2 AUD Technicals 2 Recent data in Australia have shown tentative signs of recovery: Private sector credit growth fell to 3.9% year-on-year in March. However, this is heavily biased downwards by lending to home investors that has slowed to a crawl. The Australian Industry Group (AiG) manufacturing index increased to 54.8 in April. RBA commodity index increased by 14.4% year-on-year in April. AUD/USD fell by 0.4% this week. The data are starting to look brighter in Q2, suggesting that the economy might have bottomed in Q1. The Australian dollar is likely to grind higher, especially driven by rising terms of trade. Report Links: Beware Of Diminishing Marginal Returns- April 19, 2019 Not Out Of The Woods Yet - April 5, 2019 Into A Transition Phase - March 8, 2019 New Zealand Dollar Chart II-11NZD Technicals 1 NZD Technicals 1 NZD Technicals 1 Chart II-12NZD Technicals 2 NZD Technicals 2 NZD Technicals 2 Recent data in New Zealand are mixed: ANZ activity outlook increased by 7.1% in April. ANZ business confidence in April improved to -37.5. On the labor market front in Q1, the employment change fell to 1.5% year-on-year; unemployment rate was unchanged at 4.2%, but participation rate fell to 70.4%; labor cost index fell to 2% year-on-year. Building permits contracted by 6.9% month-on-month in March. NZD/USD depreciated by 0.4% this week. The data from New Zealand continue to underperform its antipodean neighbor. We anticipate this trend will persist. Stay long AUD/NZD, currently 0.5% in the money. Report Links: Not Out Of The Woods Yet - April 5, 2019 Balance Of Payments Across The G10 - February 15, 2019 A Simple Attractiveness Ranking For Currencies - February 8, 2019 Canadian Dollar Chart II-13CAD Technicals 1 CAD Technicals 1 CAD Technicals 1 Chart II-14CAD Technicals 2 CAD Technicals 2 CAD Technicals 2 Recent data in Canada continue to underperform: GDP in February contracted by 0.1% on a month-on-month basis. Markit manufacturing PMI fell below 50 to 49.7 in April.  USD/CAD fell by 0.1% this week. During Tuesday’s speech, Governor Poloz acknowledged recent negative developments in the Canadian economy, and blamed it on the U.S.-led trade war, as well as the sharp decline in oil prices late last year. While a bottoming in the global growth could be a tailwind for the Canadian economy near-term, a Ricardian equivalence framework will suggest fiscal austerity over the next few years, will be a headwind for long-term CAD investors. Report Links: Currency Complacency Amid A Global Dovish Shift - April 26, 2019 A Shifting Landscape For Petrocurrencies - March 22, 2019 Into A Transition Phase - March 8, 2019 Swiss Franc Chart II-15CHF Technicals 1 CHF Technicals 1 CHF Technicals 1 Chart II-16CHF Technicals 2 CHF Technicals 2 CHF Technicals 2 Recent data in Switzerland have been negative: KOF leading indicator fell to 96.2 in April. Real retail sales contracted by 0.7% year-on-year in March. SVME PMI fell below 50 to 48.5 in April. USD/CHF fell by 0.1% this week. The reduced volatility worldwide could make the Swiss franc less attractive. Moreover, the relative outperformance of the euro area is a headwind for the franc. Our long EUR/CHF position is now 1% in the money. We intend to trade the franc purely as an insurance policy near-term. Report Links: Beware Of Diminishing Marginal Returns - April 19, 2019 Balance Of Payments Across The G10 - February 15, 2019 A Simple Attractiveness Ranking For Currencies - February 8, 2019 Norwegian Krone Chart II-17NOK Technicals 1 NOK Technicals 1 NOK Technicals 1 Chart II-18NOK Technicals 2 NOK Technicals 2 NOK Technicals 2 Recent data in Norway has been positive: Retail sales increased by 0.6% in March, in line with expectations. This was a marked improvement from the 1.2% drop in February. The unemployment rate held low at 3.8% USD/NOK increased by 1% this week. We expect the Norwegian krone to pick up based on the strong fundamentals and positive oil price outlook. Report Links: Currency Complacency Amid A Global Dovish Shift - April 26, 2019 A Shifting Landscape For Petrocurrencies - March 22, 2019 Balance Of Payments Across The G10 - February 15, 2019 Swedish Krona Chart II-19SEK Technicals 1 SEK Technicals 1 SEK Technicals 1 Chart II-20SEK Technicals 2 SEK Technicals 2 SEK Technicals 2 Recent data in Sweden have been mostly positive: Retail sales increased on a month-on-month basis by 0.5% in March, but fell to 1.9% on a yearly basis. Producer price index was unchanged at 6.3% year-on-year in March. Trade balance came in at a large surplus of 7 billion SEK in March. Manufacturing PMI fell to 50.9 in April, but notably, import orders and backlog orders rose.  USD/SEK increased by 0.4% this week. Despite the RiksBank’s dovish shift last week, we continue to favor our long SEK position. Our conviction is rooted in the fact that the Swedish krona is undervalued, and relative PMI trends favor Sweden vis-à-vis the U.S. Report Links: Balance Of Payments Across The G10 - February 15, 2019 A Simple Attractiveness Ranking For Currencies - February 8, 2019 Global Liquidity Trends Support The Dollar, But... - January 25, 2019 Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Closed Trades