Precious Metals

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 U.S. inflation is on a structural uptrend. Monetary and fiscal policy, populism, and demographics will tend to push inflation higher over the coming decade. How can investors protect portfolios against inflation risk? We look at periods of rising inflation to determine which assets were the best inflation hedge. We find that the level of inflation is very important in determining which assets work best. When inflation is rising and high, or very high, the best inflation hedges at the asset class level are commodities and U.S. TIPS. When inflation is very high, gold is the best commodity to hold and defensive sectors will minimize losses in an equity portfolio. However, hedges have a cost. Allocating a large percentage of a portfolio to inflation hedges will be a drag on returns. Investors should opt for a low allocation to hedges now, and increase to a medium level when inflation rises further. Feature Some 38 years have passed since the last time the U.S. suffered from double-digit inflation. The Federal Reserve reform of 1979, championed by Paul Volcker, changed the way the Fed approached monetary policy by putting a focus on controlling money growth.1 The reform gave way to almost four decades of relatively controlled inflation, which persists today. But times are changing. While most of today’s investors have never experienced anything other than periods of tame inflation, BCA expects that rising inflation will be a major driving force of asset returns over the coming decade.2 The main reasons behind this view are the following: 1. A rethink in the monetary policy framework: At its most recent meeting, the FOMC openly discussed the idea of a price-level target, implying that it would be open to the economy running hot to compensate for the past 10 years of below-target inflation (Chart II-1.1A, top panel). Chart II-1.1AStructural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I) Chart II-1.1BStructural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I)   2. Procyclical fiscal policy: The U.S. is conducting expansionary fiscal policy while the economy is at near-full employment (Chart II-1.1A, middle panel). The last time this happened in the U.S., during the 1960s, high inflation followed, as the fiscal boost made the economy run substantially above capacity. 3. Waning Fed independence: President Trump has openly questioned the hiking campaign undertaken by the Fed. Moreover, he has tried to nominate Fed governors with dovish tendencies. Historically around the world, a lack of central bank independence has often led to higher inflation rates (Chart II-1.1A, bottom panel). 4. Peak in globalization: Globalization accelerated significantly in the 1990s and 2000s, flooding the global economy with cheap labor (Chart II-1.1B, top panel). However, we believe that globalization has peaked. Instead, populism and protectionism will be the dominant paradigms for years to come, reducing the cheap pool of workers and goods previously available. 5. Demographics: The population in the U.S. is set to age in coming years (Chart II-1.1B, middle panel). As the percentage of U.S. retirees increases, the number of spenders relative to savers will begin to rise (Chart II-1.1B, bottom panel). Higher spending and lower savings in the economy should create upward pressure on inflation. If our view is correct, how should investors allocate their money? We attempt to answer this question by evaluating the performance of five major asset classes during periods when inflation was rising. Furthermore, we look into sub-asset class performance to determine how investors should position themselves within each asset class to take advantage of an inflationary environment. In our asset-class analysis, we use a data sample starting in 1973 and we limit ourselves to five publicly traded assets that have adequate history: global equities, U.S. Treasuries, U.S. real estate (REITs), U.S. inflation-linked bonds,3 and commodities. We compare asset classes according to their Sharpe ratios: average annualized excess returns divided by annualized volatilities.4  BCA expects that rising inflation will be a major driving force of asset returns over the coming decade. In our sub-asset class analysis, we analyze global equity sectors, international vs U.S. equities, and individual commodities. In some of the sections in our sub-asset class analysis, our sample is slightly reduced due to lack of historical data. Moreover, since in some instances all sectors have negative returns, we compare sub-asset classes according to their excess returns only. We base our analysis on the U.S. Consumer Price Index, given that most of the assets in our sample are U.S. based. We opt for this measure because it tends to track the living expenses for most U.S. citizens and it is the preferred measure to index defined-benefit payments. Finally, we decompose the periods of rising inflation into four quartiles in order to examine whether the level of inflation has any impact on the performance of each asset. Chart II-1.2 and Table II-1.1 show the different ranges we use for our analysis as well as a description of the typical economic and monetary policy environments in each of them. Chart II-1 Chart II- Summary Of Results Table II-1.2 shows the summary of our results. For a detailed explanation on how each asset class and sub-asset class behaves as inflation rises, please see the Asset Class section and the Sub-Asset Class section below. Chart II- Which assets perform best when inflation is rising? Rising inflation affects assets very differently, and is especially dependent on how high inflation is. Global equities performed positively when inflation was rising and low or mild, but they were one of the worst-performing assets when inflation was rising and high or very high. Importantly, equities underperformed U.S. Treasuries in periods of both high and very high inflation. Commodities and U.S. TIPS were the best performers when inflation was high or very high. U.S. REITs were not a good inflation hedge. Which global equity sectors perform best when inflation is rising? Energy and materials outperformed when inflation was high. Every single sector had negative excess returns when inflation was very high, but defensive sectors such as utilities, healthcare, and telecommunications5 minimized losses. Which commodities perform best when inflation is rising? With the exception of energy, most commodities had subpar excess returns when inflation was in the first two quartiles. Industrial metals outperformed when inflation was high. Gold and silver outperformed when inflation was very high. Additionally, gold had consistent returns and low volatility. What is the cost of inflation hedging? Chart II-1 To answer this question, we construct four portfolios with different levels of inflation hedging: 1. Benchmark (no inflation hedging): 60% equities/40% bonds. 2. Low Inflation Hedging: 50% equities/40% bonds/5% TIPS/5% commodities 3. Medium Inflation Hedging: 40% equities/30% bonds/15% TIPS/15 % commodities 4. Pure Inflation Hedging: 50% TIPS/50% commodities. While increased inflation hedging provides better performance when inflation is high and rising, these hedges are costly to hold when inflation is at lower ranges or when it is falling (Chart II-1.3, panels 1 & 2). However, adding moderate inflation hedging (low or medium) to a portfolio achieved the right balance between cost and protection, and ultimately improved risk-adjusted returns over the whole sample (Chart II-1.3, panel 3). What about absolute returns? The benchmark outperformed over the whole sample. However, the low and medium inflation hedging did not lag far behind, while avoiding the big drawdowns of high inflation periods (Chart II-1.3, panel 4). Investment Implications High inflation may return to the U.S. over the next decade. Therefore, inflation hedging should be a key consideration when constructing a portfolio. Based on our results, our recommendations are the following: 1. At the asset-class level, investors should allocate to commodities and U.S. TIPS to hedge inflation. 2.  However, these hedges are costly to hold as they will create a drag on returns in periods when inflation is not high or very high. Therefore, a low allocation to inflation hedges is warranted now. 3.   Inflation will probably start to pick up in the 2020s. A medium allocation to inflation hedges will then be appropriate. 4.   When inflation is high (3.3%-4.9%), investors should overweight energy and materials in their equity portfolios. Likewise, they should overweight industrial metals and energy within a commodity portfolio. 5.   When inflation is very high (4.9% or more), investors should overweight defensive sectors in their equity portfolio to minimize losses. Moreover, investors should overweight gold within a commodity portfolio. At the asset-class level, investors should allocate to commodities and U.S. TIPS to hedge inflation. Asset Classes Global Equities Chart II-2 The relationship between equity returns and rising inflation depends on how high inflation is, with outstanding performance when inflation is rising but low or mild, and poor performance as it gets higher (Chart II-2.1, top panel). This relationship can be explained by the interaction between interest rates, inflation, earnings, and valuations: Earnings growth was usually slightly negative when inflation was recovering from low levels. However, given that interest rates were very low in this environment and growth expectations were high, multiple expansion boosted equity returns (Chart II-2.1, bottom panel). When inflation was mild, the Fed typically started to raise rates, resulting in a declining multiple. However, equities had the best performance in this range thanks to very high earnings growth – a result of the economy growing strongly due to a healthy level of inflation. When inflation climbed into the high or very high range, earnings growth was usually positive but beginning to slow, as high inflation weighed on growth. Meanwhile the multiple started to decline rapidly due to rising interest rates and declining growth expectations. With the exception of the mild inflation range, the return profile of equities during inflationary periods was similar to its normal profile: negative skew and excess kurtosis (Table II-2.1). However, the consistency of returns decreased at higher levels of inflation, with only 45% of months with positive returns when inflation was rising and in its highest quartile. Chart II- U.S. Treasuries Chart II-2 U.S. Treasuries reacted in a similar fashion to equities when inflation was rising (Chart II-2.2). However, while Treasuries underperformed equities when inflation was low or mild, they actually outperformed equities when inflation was high or very high. This was in part due to the fact that at higher inflation ranges, U.S. Treasuries offer a higher coupon return when rates are high, at least partially counteracting losses from falling prices. The steady stream of cash flows from the coupons helped Treasuries achieve positive returns roughly two-thirds of the time at the highest levels of inflation (Table II-2.2). However, this consistency in returns came at a cost: very high inflation resulted in negative skew and high excess kurtosis. Therefore, while Treasuries provided frequent positive returns when inflation was very high, they were prone to violent selloffs. Chart II- U.S. REITs Chart II-2 While REITs had high risk-adjusted returns when inflation was rising but mild, much like equities they had subpar performance in every other quartile and particularly poor performance when inflation was high or very high (Chart II-2.3). These results confirm our previous research showing that REITs performance is very similar to that of equities.6 The return consistency for REITs was generally poor in inflationary periods, with the second-lowest percentage of positive return of any asset class (Table II-2.3). Moreover, REIT returns had excess kurtosis and negative skew throughout all inflation quartiles. Chart II- Commodity Futures Chart II-2 Commodities performed positively in every quartile, and did particularly well when inflation was mild (Chart II-2.4, top panel). However, total return and price return were very different due to the behavior of the roll and collateral return: Total risk-adjusted returns were lower than spot risk-adjusted returns when inflation was low and rising. This happened because during these periods, commodity supply was high relative to demand, as the economy was recovering from a deflationary shock. Thus, there was an incentive for producers to conserve inventories, making the futures curve upward-sloping (contango). Thus, roll return was negative (Chart II-2.4, bottom panel). When inflation was in the upper two quartiles, total risk-adjusted returns were much higher than risk-adjusted spot returns. This was because high inflation was the product of supply shocks. These supply shocks resulted in a downward-sloping futures curve (backwardation), which, in turn, resulted in a positive roll return. Additionally, high rates during these regimes contributed to a high collateral return. Commodities provided good return consistency during inflationary periods, with roughly 60% of positive return months in the upper two inflation quartiles (Table II-2.4). The skew of returns was neutral or positive in the top two quartiles. This means that although volatility was high for commodities, extreme return movements were normally positive. Chart II- U.S. Inflation-Protected Bonds Chart II-2 While inflation-protected bonds provided meager returns when inflation was rising but in the mild range, they provided excellent performance at the highest levels of inflation (Chart II-2.5). Moreover, this high Sharpe ratio was not just simply the result of low volatility, since U.S. TIPS had excess returns of 4.6% when inflation was high and 5.7% when inflation was very high.7 The return profile of inflation-protected bonds during inflationary periods was also attractive in our testing period. Average skew was positive, while kurtosis was relatively low (Table II-2.5). The percentage of positive months across all quartiles was also the highest of all asset classes, with a particularly high share of positive returns in the periods of highest inflation. Chart II- Sub-Asset Classes Global Equity Sectors Chart II-3 For the sector analysis, we looked at information technology, financials, energy, materials, utilities, healthcare, and telecommunications. We excluded industrials, consumer discretionary, and consumer staples given that they do not have adequate back data. Once again, we separate rising inflation periods into four quartiles, arriving at the following results: When inflation was low, information technology had the best excess returns while utilities had the worst (Chart II-3.1, panel 1). This matches our observations at the asset class level, as IT is highly responsive to changes in the valuation multiple. When inflation was mild, energy had the best performance, followed by information technology (Chart II-3.1, panel 2). Meanwhile, financials had the worst performance, as rates were normally rising in these periods. When inflation was high, sectors highly correlated with commodity prices such as energy and materials outperformed. Meanwhile, IT was the worst performer (Chart II-3.1, panel 3). When inflation was very high, every sector had negative excess returns. Overall, investing in energy minimized losses (Chart II-3.1, panel 4). However, this performance was in part attributable to the oil spikes of the 1970s. Alternatively, defensive sectors such as utilities, telecommunications, and healthcare also minimized losses. International vs U.S. Equities Chart II-3 How do equities outside of the U.S. behave when inflation is rising? While the high share of U.S. equities in the global index causes U.S. equities to be the main driver of global stock prices, is it possible to improve returns in inflationary environments by overweighting international equities? The answer once again depends on the level of inflation. When inflation was rising but low, U.S. stocks outperformed global ex-U.S. equities in both common currency and local currency terms (Chart II-3.2, panel 1). This was in part due to the inherent tech bias in U.S. stocks. Additionally, the low level of inflation was often accompanied by slowing global growth in our sample, helping the U.S. dollar. When inflation was mild, U.S. stocks once again outperformed international stocks in both local and common currency terms, though to a lesser degree (Chart II-3.2, panel 2). The dollar was roughly flat in this environment. U.S. stocks started to have negative excess returns when inflation was high (Chart II-3.2, panel 3). On the other hand international equities had positive excess returns in dollar terms, partly because of their energy and material bias and partly because the dollar was generally weak in this period. U.S. equities outperformed global ex-U.S. equities by a small margin when inflation was very high, given that defensive sectors such as telecommunication were over-represented in the U.S. index (Chart II-3.2, panel 4). The dollar was roughly flat in this period. Individual Commodities Chart II-3 Our analysis above confirmed that commodities were one of the best assets to hold when inflation was rising. However, which commodity performed best?8 Total return for every commodity was lower than spot return when inflation was low (Chart II-3.3, panel 1). This was due to the upward-sloping term structure of the futures curve (contango), resulting in a negative roll yield. In this range, energy had the best performance, followed by industrial metals. Precious metals had negative excess returns. When inflation was mild, energy had the best performance of any commodity by far (Chart II-3.3, panel 2). Precious and industrial metals had low but positive excess returns in this period. When inflation was high, industrial metals had the highest excess returns, followed by energy (Chart II-3.3, panel 3). We omit energy for the last quartile since there is not enough data available. Overall, when inflation was very high, both gold and silver had the highest excess returns (Chart II-3.3, panel 4). However, gold’s return volatility was much lower, while it also had positive returns 64% of the time compared to 52% for silver. Other Assets U.S. Direct Real Estate Our asset-class analysis confirmed that public real estate (REITs) as an asset class offered poor risk-adjusted returns during inflationary periods. But how did direct real estate perform? We analyzed direct real estate separately from all other assets because of a couple of issues: Our return dataset is available only on a quarterly basis, versus a monthly basis for the rest of the assets in our sample. Even when annualized, volatility is not directly comparable when using data with different frequencies. The NCREIF Real Estate Index that we used is a broad aggregate, which is not investable. Individual property prices might differ from this aggregate. Finally, real estate returns are measured on an appraisal basis. Appraisal-based indices are not reflective of real transactions. Moreover, prices tend to be sticky. To attenuate this issue we unsmoothed the capital returns by removing return autocorrelation. Overall, the Sharpe ratio of direct real estate was solid throughout the first three quartiles of rising inflation (Chart II-4.1, top panel). There is not enough data available for the fourth quartile. However, judging by the performance of U.S. housing in the 1970s from OECD, risk-adjusted returns when inflation was very high was likely positive (Chart II-4.1, bottom panel). Chart II-4 Chart II-4   Cash Cash (investing in a 3-month U.S. Treasury bill) outperformed inflation over our sample (Chart II-4.2, top panel). Moreover, cash provided positive real returns when inflation was mild, or high, or when it was decreasing (Chart II-4.2, bottom panel). However, cash was not a good inflation hedge at the highest inflation quartile, with an average annualized real loss of almost 2%. Juan Manuel Correa Ossa Senior Analyst Global Asset Allocation Footnotes 1       Please see Carl E. Walsh, “October 6, 1979,” FRSBF Economic Letter, 2004:35, (December 3, 2004). 2       Please see Global Investment Strategy Special Report, “1970s-Style Inflation: Could it Happen Again? (Part 1), ” dated August 10, 2018, and “1970s-Style Inflation: Could it Happen Again? (Part 2),” dated August 24, 2018, available at gis.bcaresearch.com. 3       We use a synthetic TIPS series for data prior to 1997. For details on the methodology, please see: Kothari, S.P. and Shanken, Jay A., “Asset Allocation with Inflation-Protected Bonds,” Financial Analysts Journal, Vol. 60, No. 1, pp. 54-70, January/February 2004. 4       Excess returns are defined as asset return relative to a 3-month Treasury bill. 5       Sector classification does not take into account GICS changes prior to December 2018.  6       Please see Global Asset Allocation Strategy Special Report "REITS Vs Direct: How To Get Exposure To Real Estate," dated September 15, 2016, available at gaa.bcaresearch.com. 7       It is important to note that the synthetic TIPS series does not completely match actual TIPS series for the periods where they overlap. Specifically, volatility is significantly higher in the synthetic series. Thus, results should be taken as approximations. 8       We decompose the returns into the same 4 quartiles to answer this question. However, due to lower data availability, we start our sample in 1978 instead of 1973. Moreover, our sample for energy is smaller beginning in 1983. This mainly reduces the amount of data available at the upper quartile.

Highlights The Federal Reserve’s monetary policy stance is slightly accommodative for the U.S., but it is too tight for the rest of the world. Inflation is likely to slow further before making a durable bottom toward year-end. The Fed will remain on an extended pause, maybe all the way through to December 2020. The trade war is not going away, and investors should not be complacent. However, it also guarantees that Chinese policymakers will redouble on their reflationary efforts. As a result, global growth is still set to improve in the second half of 2019. The dollar rally is in its last innings; the greenback will depreciate in the second half of this year. Treasury yields have limited downside and their recent breakdown is likely to be a fake-out. Use any strength in bond prices to further curtail portfolio duration. The correction in stocks is not over. However, the cycle’s highs still lie ahead. Feature Ongoing Sino-U.S. tensions and weakness in global growth are taking their toll. The S&P 500 has broken below its crucial 2,800 level, EM equities are quickly approaching their fourth-quarter 2018 lows, U.S. bond yields have fallen to their lowest readings since 2017, copper has erased all of its 2019 gains and the dollar is attempting to break out. In response, futures markets are now pricing in interest rate cuts by the Fed of 54 bps and 64 bps, over the next 12 and 24 months, respectively. Will the Fed ratify these expectations? Last week’s release of the most recent Fed’s Federal Open Market Committee meeting minutes, as well as comments from FOMC members ranging from Jerome Powell to Richard Clarida, are all adamantly clear: U.S. monetary policy is appropriate, and a rate cut is not on the table for now. However, the avowed data-dependency of the Fed implies that if economic conditions warrant, the FOMC will capitulate and cut rates. Even as U.S. inflation slows, a recession is unlikely. Moreover, the Sino-U.S. trade war will catalyze additional reflationary policy from China, putting a floor under global growth. In this context, the Fed is likely to stay put for an extended period, but will not cut rates. While the S&P 500 is likely to fall toward 2,600, the high for the cycle is still ahead. We therefore maintain our positive cyclical equity view, especially relative to government bonds, but we are hedging tactical risk. Fed Policy Is Neutral For The U.S…. If the fed funds rate was above the neutral rate – the so-called R-star – we would be more inclined to agree with interest rate markets and bet on a lower fed funds rate this year. However, it is not clear that this is the case. Chart I-1Mixed Message From The R-Star Indicator Mixed Message From The R-Star Indicator Mixed Message From The R-Star Indicator Admittedly, the inversion of the 10-year/3-month yield curve is worrisome, but other key variables are not validating this message. Currently, our R-star indicator, based on M1, bank liquidity, consumer credit, and the BCA Fed monitor, is only in neutral territory (Chart I-1). Moreover, we built a model based on the behavior of the dollar, yield curve, S&P homebuilding relative to the broad market and initial UI claims that gauges the probability that the fed funds rate is above R-star. Currently, the model gives a roughly 40% chance that U.S. monetary policy is tight (Chart I-2). Historically, such a reading was consistent with a neutral policy stance.   Chart I-2Today, Fed Policy Is At Neutral Today, Fed Policy Is At Neutral Today, Fed Policy Is At Neutral Models can be deceiving, so it is important to ensure that facts on the ground match their insights. Historically, housing is the sector most sensitive to monetary policy.1 Key forward-looking activity measures are not showing signs of stress: mortgage applications for purchases have jumped to new cyclical highs, and the NAHB homebuilders confidence index has smartly rebounded after weakening last year (Chart I-3). Also, homebuilder stocks have been in a steady uptrend relative to the S&P 500 since last October (Chart I-3, bottom panel). These three developments are not consistent with tight monetary policy. Chart I-3This Would Not Happen If Policy Were Tight This Would Not Happen If Policy Were Tight This Would Not Happen If Policy Were Tight The corporate sector confirms the message from the housing sector. While capex intentions have weakened, they remain at elevated levels, despite slowing profit growth and elevated global uncertainty. Moreover, the latest Fed Senior Loan Officer Survey shows that banks have again eased credit standards for commercial and industrial loans. Netting out all these factors, we are inclined to agree with the Fed that monetary policy in the U.S. is broadly neutral. If anything, the rebound in leading indicators of residential activity would argue that policy is even slightly accommodative. … But Not For The Rest Of The World Congress gave the Fed a U.S.-only mandate, but the U.S. dollar is the global reserve currency. Because the dollar is the keystone of the global financial architecture, between US$12 trillion and US$14 trillion of foreign-currency debt is issued in USDs, and the greenback is used as a medium of exchange in roughly US$800 trillion worth of transaction per year.2 Therefore, the Fed may target U.S. monetary conditions, but it sets the cost of money for the entire world. While U.S. monetary conditions may be appropriate for the U.S., they are not entirely appropriate for the world as a whole. Indeed, the green shoots of growth we highlighted two months ago are rapidly turning brown: Korean and Taiwanese exports, which are highly sensitive to the global and Asian business cycles, are still contracting at a brisk pace (Chart I-4, top panel). Japan, an economy whose variance in GDP mostly reflects global gyrations, is weakening. Exports are contracting at a 4.3% yearly pace, machine tool orders are plunging at a 33% annual rate and the coincident indicator is below 100 – a sign of shrinking activity. The semiconductor space is plunging (Chart I-4, second panel). Our EM Asia diffusion index, which tallies 23 variables, is near record lows (Chart I-4, third panel). Europe too is feeling the pain, led by Germany, another economy deeply dependent on global activity. The flash estimate for the euro area manufacturing PMI fell to 47.7 and plunged to 44.3 in Germany, its lowest level since July 2012 (Chart I-4, bottom panel). These developments show that the world economy remains weak, in part because the Chinese economy has yet to meaningfully regain any traction. The rebound in Chinese PMI in March proved short lived; in April, both the NBS and Caixin measures fell back to near the 50 boom/bust line. Since inflation lags real activity and global growth has yet to bottom, it could take some time before inflation finds a floor. A strong dollar is a natural consequence of an outperforming U.S. economy, especially when global growth weakens. Thus, the rally in the Fed’s nominal trade-weighted dollar to its highest level since March 2002 is unsurprising (Chart I-5). A strong Greenback will have implications for inflation, and thus the Fed. Chart I-4Global Growth: No Green Shoots Here Global Growth: No Green Shoots Here Global Growth: No Green Shoots Here Chart I-5A Strong Dollar Is A Natural Consequence Of Weak Growth A Strong Dollar Is A Natural Consequence Of Weak Growth A Strong Dollar Is A Natural Consequence Of Weak Growth   Transitory Inflation Weakness Is Not Over The Fed believes the current inflation slowdown is transitory. We agree. With a tight labor market and rising wages, the question is not if inflation will rise, but when. In the current context, it could take some time. As Chart I-6 shows, inflation has been stable for more than 20 years. From 1996 to today, core PCE has oscillated between 0.9% and 2.6%, while core CPI has hovered between 0.6% and 2.9%, with the peaks and troughs determined by the ebbs and flows of global growth. Since inflation lags real activity and global growth has yet to bottom, it could take some time before inflation finds a floor, likely around 1.3% and 1.5% for core PCE and core CPI, respectively. Chart I-6Stable U.S. Inflation Since 1996 Stable U.S. Inflation Since 1996 Stable U.S. Inflation Since 1996 A few dynamics strengthen this judgment: The strength in the dollar is deflationary (Chart I-7, top panel). Not only does an appreciating greenback depress import prices, it tightens U.S. and global financial conditions. It also undermines dollar-based liquidity, especially if EM central banks try to fight weakness in their own currencies. All these forces harm growth, commodity prices and ultimately, inflation. Chart I-7More Downside Ahead In Inflation For Now More Downside Ahead In Inflation For Now More Downside Ahead In Inflation For Now After adjusting for their disparate variance, the performance of EM stocks relative to EM bonds is an excellent leading indicator of global core inflation (Chart I-7, second panel). This ratio is impacted by EM financial conditions, explaining its forecasting power for prices. Since goods inflation – which disproportionally contributes to overall variations in core CPI – is globally determined, U.S. inflation will suffer as well. U.S. capacity utilization is declining (Chart I-7, third panel). The U.S. just underwent a mini inventory cycle. The 12-month moving averages of the Philadelphia Fed and Empire State surveys’ inventory indexes still stand above their long-term averages. U.S. firms will likely use discounts to entice customers, especially as a strong dollar and weak global growth point to limited foreign outlets for this excess capacity. Finally, the growth in U.S. unit labor costs is slowing sharply, which normally leads inflation lower (Chart I-7, bottom panel). Average hourly earnings may now be growing at a 3.2% annual pace, but productivity rebounded to a 2.4% year-on-year rate in the first quarter, damping the impact of higher salaries on costs. If global growth is weak and U.S. inflation decelerates further, the Fed is unlikely to raise interest rates anytime soon. As the Fed policy remains modestly accommodative and the labor market is at full employment, the balance of probability favors an extended pause over a cut. But keep in mind, next year’s elections may mean this pause could last all the way to December 2020. How Does The Trade War Fit In? An additional irritant has been added to the mix: the growing trade tensions between the U.S. and China. The trade war has resurrected fears of a repeat of the 1930 Smoot-Hawley tariffs, which prompted a wave of retaliatory actions, worsening the massive economic contraction of the Great Depression. There is indeed plenty to worry about. Today, global trade represents 25% of global GDP, compared to 12% in the late 1920s. Global growth would be highly vulnerable to a freeze in world trade. Besides, global supply chains are extremely integrated, with intra-company exports having grown from 7% of global GDP to 16% between 1993 and 2013. If a full-blown trade war were to flare up, much of the capital invested abroad by large multinationals might become uneconomic. As markets price in this probability, stock prices would be dragged down. Chart I-8Trade Uncertainty Alone Will Delay The Recovery Trade Uncertainty Alone Will Delay The Recovery Trade Uncertainty Alone Will Delay The Recovery The fear of a full-fledged trade war is already affecting the global economy. The fall in asset prices to reflect the risk of stranded capital is tightening financial conditions and hurting growth. Moreover, the rise in U.S. and global economic uncertainty is depressing capex intentions (Chart I-8). Since capex intentions are a leading variable for actual capex, global exports and manufacturing activity, the trade war is deepening and lengthening the current soft patch. Markets need to be wary of pricing in a quick end to the Sino-U.S. trade conflict. Table I-1 presents BCA’s Geopolitical Strategist Matt Gertken’s odds of various outcomes to the trade negotiations and their implications for stocks. Matt assigns only a 5% probability to a grand compromise between the U.S. and China on trade and tech. He also foresees a 35% chance that a deal on trade excluding an agreement on tech will be reached this year. This leaves 10% odds that the two sides agree to extend the negotiation deadline beyond June, 20% odds of no deal at all and a minor escalation, and 30% odds of a major escalation. In other words, BCA is currently assigning 60% odds of a market-unfriendly outcome, and only a 40% chance of a genuinely market-friendly one.3 Chart I- Chart I-9 Why the gloom? The U.S. and China are geopolitical rivals in a deadlock. Moreover, both parties are feeling increasingly emboldened to play hardball. On the U.S. side, President Donald Trump has threatened to expand his tariffs to all of China’s exports to the U.S., which would represent a major escalation in both the conflict and its cost (Chart I-9). However, despite the scale of the threat, even if it were fully borne by U.S. households, its impact should be kept in perspective. Imports of consumer goods from China only represent 2% of total household spending (Chart I-10, top panel). Moreover, households are not currently overly concerned with inflation, as goods prices are already muted (Chart I-10, middle panel) and family income is still growing (Chart I-10, bottom panel). Finally, a weak deal could easily be decried as a failure in the 2020 election. On the Chinese side, the 9.5% fall in the yuan is already absorbing some of the costs of the tariffs, and the RMB will depreciate further if the trade war escalates. Additionally, Chinese exports to the U.S. represent 3.4% of GDP, while household and capital spending equals 81% of output. China can support its domestic economy via fiscal and credit policy, greatly mitigating the blow from the trade war. The outlook for Chinese reflationary efforts is therefore paramount. In sharp contrast to its limited upside, the dollar’s downside will be much more significant once global growth improves. Not only do Chinese policymakers have the room to stimulate, they also have the will. In the first four months of 2019, Chinese total social financing flows have amounted to CNY 9.6 trillion, which compares favorably to the same period during the 2016 reflation campaign. Yet, the economy has not fully responded to the injection of credit and previously implemented tax cuts amounting to CNY 1.3 trillion or 1.4% of GDP. Consequently, GDP per capita is now lagging well behind the required path to hit the government’s 2020 development targets (Chart I-11). Moreover, Chinese policymakers’ recent comments have increasingly emphasized protecting employment. This combination raises the likelihood of additional stimulus in the months ahead. Chart I-10...But Do Not Overstate Trump's Constraints ...But Do Not Overstate Trump's Constraints ...But Do Not Overstate Trump's Constraints Chart I-11Chinese Stimulus: Scope And Willingness Chinese Stimulus: Scope And Willingness Chinese Stimulus: Scope And Willingness   Therein lies the paradox of the trade war. While its immediate effect on world growth is negative, it also increases the chance that Chinese authorities pull all the levers to support domestic growth. A greater reflationary push would thus address the strongest headwind shaking the global economy. It could take two to six more months before the Chinese economy fully responds and lifts global growth. Ultimately, it will. Hence, even as the trade war continues, we remain skeptical that the Fed will cut interest rates as the market is discounting. We are therefore sticking to our call that the Fed will not cut rates over the next 12 months and will instead stay on an extended pause. Investment Conclusions The Dollar So long as global growth remains soft, the dollar is likely to rally further. That being said, the pace of the decline in global growth is decelerating. As a corollary, the fastest pace of appreciation for the greenback is behind us (see Chart I-5 on page 6). The risk to this view is that the previous strength in the dollar has already unleashed a vicious cycle whereby global financial conditions have tightened enough to cause another precipitous fall in world growth. The dollar’s strong sensitivity to momentum would then kick in, fomenting additional dollar strength in response to the greater growth slowdown. In this environment, the Fed would have no choice but to cut interest rates. However, growing reflationary efforts around the world currently confine this scenario to being a risk, not a central case. Additional factors also limit how far the dollar can rally. Speculators have already aggressively bought the greenback (Chart I-12). The implication is that buyers have moved in to take advantage of the dollar-friendly fundamentals. When looking at the euro, which can be thought of as the anti-dollar, investors are imputing a large discount in euro area stocks relative to U.S. ones, pointing to elevated pessimism on non-U.S. growth (Chart I-13). It would therefore require a much graver outcome in global growth to cause investors to further downgrade the outlook for the rest of the world relative to the U.S. and bring in new buyers of greenbacks. Chart I-12USD: Supportive Fundamentals Are Already Reflected USD: Supportive Fundamentals Are Already Reflected USD: Supportive Fundamentals Are Already Reflected Chart I-13Plenty Of Pessimism In European Assets... Plenty Of Pessimism In European Assets... Plenty Of Pessimism In European Assets...   In sharp contrast to its limited upside, the dollar’s downside will be much more significant once global growth improves. The same factors that are currently putting the brakes on the dollar’s rise will fuel its eventual downturn. As global growth bounces, a liquidation of stale long-dollar bets will ensue. European growth will also rebound (Chart I-14), and euro pessimism will turn into positive surprises. European assets will be bought, and the euro will rise, deepening the dollar’s demise. We are closely following the Chinese and global manufacturing PMIs to gauge when global growth exits its funk. At this point, it will be time to sell the USD. Government Bonds Bonds are caught between strong crosscurrents. On the one hand, rising economic uncertainty caused by the trade war, slowing global economic activity and decelerating inflation are all bond-bullish. On the other hand, bond prices already reflect these tailwinds. The OIS curve is baking in 54 basis points of Fed cuts over the next 12 months, as well as a further 10 basis points over the following 12 months (Chart I-15, top panel). Meanwhile, term premia across many major bond markets are very negative (Chart I-15, middle panel). Finally, fixed-income investors have pushed their portfolio duration to extremely high levels relative to their benchmark (Chart I-15, bottom panel). Chart I-14...Creates Scope For Positive Surprises ...Creates Scope For Positive Surprises ...Creates Scope For Positive Surprises Chart I-15Fade The Treasury Rally Fade The Treasury Rally Fade The Treasury Rally   Last week, Treasury yields broke down below 2.34%. For this technical break to trigger a new down-leg in yields, investors must curtail their already-depressed expectations of the fed funds rate in 12-months’ time. However, the fed funds rate is not yet restrictive, and global growth should soon find a floor in response to expanding Chinese stimulus. Under these circumstances, the Fed is unlikely to cut rates, and will continue to telegraph its intentions not to do so. Hence, unless the S&P 500 or the ISM manufacturing fall below 2,500 and 50, respectively, any move lower in yields is likely to be transitory and shallow. Cyclically, yields should instead move higher. Our Global Fixed Income Strategy service’s duration indicator has already turned the corner (Chart I-16). Moreover, in the post-war period, Treasury yields have, on average, bottomed a year before inflation. Expecting an inflation trough in late 2019 or even early 2020 is therefore consistent with higher yields by year-end. Finally, when the Fed does not cut interest rates as much as the markets had been anticipating 12-months’ prior, Treasurys underperform cash. This is exactly BCA’s current Fed forecast. Chart I-16Global Yields Now Have More Upside Than Downside Global Yields Now Have More Upside Than Downside Global Yields Now Have More Upside Than Downside While we expect the bond-bearish forces to emerge victorious, yields may only rise slowly. The list of aforementioned supports for Treasury prices is long, the equity market will remain volatile and has yet to trough, and the trade war is likely to linger. We continue to closely monitor the AUD, the SEK versus the EUR, and copper to gauge if our view is wrong. These three markets are tightly linked to Chinese growth. If China’s stimulus is working, these three variables will rebound, and our bond view will be validated. If these three variables fall much further, U.S. yields could experience significantly more downside. Equities Equities are at a difficult juncture. The trade war is a bigger problem for Wall Street than for Main Street, as 43.6% sales of the S&P 500’s are sourced abroad. Moreover, the main mechanism through which trade tensions impact the stock market is through the threat that capital will be stranded – and thus worthless. This is a direct hit to the S&P 500, especially as global growth has yet to clearly stabilize and the Chinese are only beginning to make clearer retaliatory threats. Oil could also hurt stocks. Energy prices have proven resilient, despite weaker global economic activity. OPEC and Russia have been laser-focused on curtailing global crude inventories; even after the U.S. declined to extend waivers on Iranian exports, the swing oil producers have not meaningfully increased supply. Problems in Venezuela, Libya, and potential Iranian adventurism in Iraq could easily send oil prices sharply higher, especially as the U.S. does not have the export capacity to fulfill foreign demand. Thus, the oil market could suddenly tighten and create a large drag on global growth. This backdrop also warrants remaining overweight the energy sector. Stocks remain technically vulnerable. Global and U.S. stock market breadth has deteriorated significantly, as shown by the number of countries and stocks above their 200-day moving averages (Chart I-17). Moreover, since March, the strength in the S&P 500 has been very narrow, as shown by the very poor performance of the Value Line Geometric Average Index (Chart I-18). Meanwhile, the poor relative performance of small-cap stocks in an environment where the dollar is strong, where U.S. growth is holding steady compared to the rest of the world and where multinationals have the most to lose from a trade war, is perplexing. Chart I-17Stocks Remain Technically Fragile Stocks Remain Technically Fragile Stocks Remain Technically Fragile Chart I-18Dangerous Internal Dynamics Dangerous Internal Dynamics Dangerous Internal Dynamics   The U.S. stock market has the most downside potential in the weeks ahead. Like last summer, U.S. equity prices remain near record highs while EM and European stocks, many commodities and bond yields have been very weak. Moreover, the broad tech sector, the U.S.’s largest overweight, has defied gravity, despite weakness in the semiconductor sector, the entire industry’s large exposure to foreign markets, and the consequential slowdown in our U.S. Equity Strategy service's EPS model (Chart I-19).4 Thus, any bad news on the trade front or any additional strength in the dollar could prove especially painful for tech. This would handicap U.S. equities more than their already beaten-up foreign counterparts. Chart I-19The Tech Sector Profit Outlook Remains Poor The Tech Sector Profit Outlook Remains Poor The Tech Sector Profit Outlook Remains Poor These forces mean that the global equity correction will last longer, and that U.S. equities could suffer more than other DM markets. However, we do not see the S&P falling much beyond the 2,700 to 2,600 zone. Again, the fed funds rate is slightly accommodative and a U.S. recession – a prerequisite for a bear market (Chart I-20) – is unlikely over the coming 12 months. Moreover, global growth should soon recover, especially if China’s reflationary push gathers force. Additionally, an end to the dollar’s rally would create another welcomed relief valve for stocks. Chart I-20The Absence Of A Recession Means This Is A Correction, Not A Bear Market The Absence Of A Recession Means This Is A Correction, Not A Bear Market The Absence Of A Recession Means This Is A Correction, Not A Bear Market In this context, we recommend investors keep a cyclical overweight stance on stocks. Balanced portfolios should also overweight stocks relative to government bonds. However, the near-term risks highlighted above remain significant. Consequently, we also recommend investors hedge tactical equity risks, a position implemented by BCA’s Global Investment Strategy service three weeks ago.5 As a corollary, if stocks correct sharply, the associated rise in implied volatility will also cause a violent but short-lived pick up in credit spreads. In Section II, we look beyond the short-term gyrations. One of BCA’s long-term views is that inflation is slowly embarking on a structural uptrend. An environment of rising long-term inflation is unfamiliar to the vast majority of investors. In this piece, Juan-Manuel Correa, of our Global Asset Allocation team, shows which assets offer the best inflation protection under various states of rising consumer and producer prices. Mathieu Savary Vice President The Bank Credit Analyst May 30, 2019 Next Report: June 27, 2019 II. Investors’ Guide To Inflation Hedging: How To Invest When Inflation Rises U.S. inflation is on a structural uptrend. Monetary and fiscal policy, populism, and demographics will tend to push inflation higher over the coming decade. How can investors protect portfolios against inflation risk? We look at periods of rising inflation to determine which assets were the best inflation hedge. We find that the level of inflation is very important in determining which assets work best. When inflation is rising and high, or very high, the best inflation hedges at the asset class level are commodities and U.S. TIPS. When inflation is very high, gold is the best commodity to hold and defensive sectors will minimize losses in an equity portfolio. However, hedges have a cost. Allocating a large percentage of a portfolio to inflation hedges will be a drag on returns. Investors should opt for a low allocation to hedges now, and increase to a medium level when inflation rises further. Some 38 years have passed since the last time the U.S. suffered from double-digit inflation. The Federal Reserve reform of 1979, championed by Paul Volcker, changed the way the Fed approached monetary policy by putting a focus on controlling money growth.1 The reform gave way to almost four decades of relatively controlled inflation, which persists today. But times are changing. While most of today’s investors have never experienced anything other than periods of tame inflation, BCA expects that rising inflation will be a major driving force of asset returns over the coming decade.2 The main reasons behind this view are the following: 1. A rethink in the monetary policy framework: At its most recent meeting, the FOMC openly discussed the idea of a price-level target, implying that it would be open to the economy running hot to compensate for the past 10 years of below-target inflation (Chart II-1.1A, top panel). Chart II-1.1AStructural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I) Chart II-1.1BStructural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I)   2. Procyclical fiscal policy: The U.S. is conducting expansionary fiscal policy while the economy is at near-full employment (Chart II-1.1A, middle panel). The last time this happened in the U.S., during the 1960s, high inflation followed, as the fiscal boost made the economy run substantially above capacity. 3. Waning Fed independence: President Trump has openly questioned the hiking campaign undertaken by the Fed. Moreover, he has tried to nominate Fed governors with dovish tendencies. Historically around the world, a lack of central bank independence has often led to higher inflation rates (Chart II-1.1A, bottom panel). 4. Peak in globalization: Globalization accelerated significantly in the 1990s and 2000s, flooding the global economy with cheap labor (Chart II-1.1B, top panel). However, we believe that globalization has peaked. Instead, populism and protectionism will be the dominant paradigms for years to come, reducing the cheap pool of workers and goods previously available. 5. Demographics: The population in the U.S. is set to age in coming years (Chart II-1.1B, middle panel). As the percentage of U.S. retirees increases, the number of spenders relative to savers will begin to rise (Chart II-1.1B, bottom panel). Higher spending and lower savings in the economy should create upward pressure on inflation. If our view is correct, how should investors allocate their money? We attempt to answer this question by evaluating the performance of five major asset classes during periods when inflation was rising. Furthermore, we look into sub-asset class performance to determine how investors should position themselves within each asset class to take advantage of an inflationary environment. In our asset-class analysis, we use a data sample starting in 1973 and we limit ourselves to five publicly traded assets that have adequate history: global equities, U.S. Treasuries, U.S. real estate (REITs), U.S. inflation-linked bonds,3 and commodities. We compare asset classes according to their Sharpe ratios: average annualized excess returns divided by annualized volatilities.4  BCA expects that rising inflation will be a major driving force of asset returns over the coming decade. In our sub-asset class analysis, we analyze global equity sectors, international vs U.S. equities, and individual commodities. In some of the sections in our sub-asset class analysis, our sample is slightly reduced due to lack of historical data. Moreover, since in some instances all sectors have negative returns, we compare sub-asset classes according to their excess returns only. We base our analysis on the U.S. Consumer Price Index, given that most of the assets in our sample are U.S. based. We opt for this measure because it tends to track the living expenses for most U.S. citizens and it is the preferred measure to index defined-benefit payments. Finally, we decompose the periods of rising inflation into four quartiles in order to examine whether the level of inflation has any impact on the performance of each asset. Chart II-1.2 and Table II-1.1 show the different ranges we use for our analysis as well as a description of the typical economic and monetary policy environments in each of them. Chart II-1 Chart II- Summary Of Results Table II-1.2 shows the summary of our results. For a detailed explanation on how each asset class and sub-asset class behaves as inflation rises, please see the Asset Class section and the Sub-Asset Class section below. Chart II- Which assets perform best when inflation is rising? Rising inflation affects assets very differently, and is especially dependent on how high inflation is. Global equities performed positively when inflation was rising and low or mild, but they were one of the worst-performing assets when inflation was rising and high or very high. Importantly, equities underperformed U.S. Treasuries in periods of both high and very high inflation. Commodities and U.S. TIPS were the best performers when inflation was high or very high. U.S. REITs were not a good inflation hedge. Which global equity sectors perform best when inflation is rising? Energy and materials outperformed when inflation was high. Every single sector had negative excess returns when inflation was very high, but defensive sectors such as utilities, healthcare, and telecommunications5 minimized losses. Which commodities perform best when inflation is rising? With the exception of energy, most commodities had subpar excess returns when inflation was in the first two quartiles. Industrial metals outperformed when inflation was high. Gold and silver outperformed when inflation was very high. Additionally, gold had consistent returns and low volatility. Chart II-1 What is the cost of inflation hedging? To answer this question, we construct four portfolios with different levels of inflation hedging: 1. Benchmark (no inflation hedging): 60% equities/40% bonds. 2. Low Inflation Hedging: 50% equities/40% bonds/5% TIPS/5% commodities 3. Medium Inflation Hedging: 40% equities/30% bonds/15% TIPS/15 % commodities 4. Pure Inflation Hedging: 50% TIPS/50% commodities. While increased inflation hedging provides better performance when inflation is high and rising, these hedges are costly to hold when inflation is at lower ranges or when it is falling (Chart II-1.3, panels 1 & 2). However, adding moderate inflation hedging (low or medium) to a portfolio achieved the right balance between cost and protection, and ultimately improved risk-adjusted returns over the whole sample (Chart II-1.3, panel 3). What about absolute returns? The benchmark outperformed over the whole sample. However, the low and medium inflation hedging did not lag far behind, while avoiding the big drawdowns of high inflation periods (Chart II-1.3, panel 4). Investment Implications High inflation may return to the U.S. over the next decade. Therefore, inflation hedging should be a key consideration when constructing a portfolio. Based on our results, our recommendations are the following: 1. At the asset-class level, investors should allocate to commodities and U.S. TIPS to hedge inflation. 2.  However, these hedges are costly to hold as they will create a drag on returns in periods when inflation is not high or very high. Therefore, a low allocation to inflation hedges is warranted now. 3.   Inflation will probably start to pick up in the 2020s. A medium allocation to inflation hedges will then be appropriate. 4.   When inflation is high (3.3%-4.9%), investors should overweight energy and materials in their equity portfolios. Likewise, they should overweight industrial metals and energy within a commodity portfolio. 5.   When inflation is very high (4.9% or more), investors should overweight defensive sectors in their equity portfolio to minimize losses. Moreover, investors should overweight gold within a commodity portfolio. At the asset-class level, investors should allocate to commodities and U.S. TIPS to hedge inflation. Asset Classes Global Equities Chart II-2 The relationship between equity returns and rising inflation depends on how high inflation is, with outstanding performance when inflation is rising but low or mild, and poor performance as it gets higher (Chart II-2.1, top panel). This relationship can be explained by the interaction between interest rates, inflation, earnings, and valuations: Earnings growth was usually slightly negative when inflation was recovering from low levels. However, given that interest rates were very low in this environment and growth expectations were high, multiple expansion boosted equity returns (Chart II-2.1, bottom panel). When inflation was mild, the Fed typically started to raise rates, resulting in a declining multiple. However, equities had the best performance in this range thanks to very high earnings growth – a result of the economy growing strongly due to a healthy level of inflation. When inflation climbed into the high or very high range, earnings growth was usually positive but beginning to slow, as high inflation weighed on growth. Meanwhile the multiple started to decline rapidly due to rising interest rates and declining growth expectations. With the exception of the mild inflation range, the return profile of equities during inflationary periods was similar to its normal profile: negative skew and excess kurtosis (Table II-2.1). However, the consistency of returns decreased at higher levels of inflation, with only 45% of months with positive returns when inflation was rising and in its highest quartile. Chart II- U.S. Treasuries Chart II-2 U.S. Treasuries reacted in a similar fashion to equities when inflation was rising (Chart II-2.2). However, while Treasuries underperformed equities when inflation was low or mild, they actually outperformed equities when inflation was high or very high. This was in part due to the fact that at higher inflation ranges, U.S. Treasuries offer a higher coupon return when rates are high, at least partially counteracting losses from falling prices. The steady stream of cash flows from the coupons helped Treasuries achieve positive returns roughly two-thirds of the time at the highest levels of inflation (Table II-2.2). However, this consistency in returns came at a cost: very high inflation resulted in negative skew and high excess kurtosis. Therefore, while Treasuries provided frequent positive returns when inflation was very high, they were prone to violent selloffs. Chart II- U.S. REITs Chart II-2 While REITs had high risk-adjusted returns when inflation was rising but mild, much like equities they had subpar performance in every other quartile and particularly poor performance when inflation was high or very high (Chart II-2.3). These results confirm our previous research showing that REITs performance is very similar to that of equities.6 The return consistency for REITs was generally poor in inflationary periods, with the second-lowest percentage of positive return of any asset class (Table II-2.3). Moreover, REIT returns had excess kurtosis and negative skew throughout all inflation quartiles. Chart II- Commodity Futures Chart II-2 Commodities performed positively in every quartile, and did particularly well when inflation was mild (Chart II-2.4, top panel). However, total return and price return were very different due to the behavior of the roll and collateral return: Total risk-adjusted returns were lower than spot risk-adjusted returns when inflation was low and rising. This happened because during these periods, commodity supply was high relative to demand, as the economy was recovering from a deflationary shock. Thus, there was an incentive for producers to conserve inventories, making the futures curve upward-sloping (contango). Thus, roll return was negative (Chart II-2.4, bottom panel). When inflation was in the upper two quartiles, total risk-adjusted returns were much higher than risk-adjusted spot returns. This was because high inflation was the product of supply shocks. These supply shocks resulted in a downward-sloping futures curve (backwardation), which, in turn, resulted in a positive roll return. Additionally, high rates during these regimes contributed to a high collateral return. Commodities provided good return consistency during inflationary periods, with roughly 60% of positive return months in the upper two inflation quartiles (Table II-2.4). The skew of returns was neutral or positive in the top two quartiles. This means that although volatility was high for commodities, extreme return movements were normally positive. Chart II- U.S. Inflation-Protected Bonds Chart II-2 While inflation-protected bonds provided meager returns when inflation was rising but in the mild range, they provided excellent performance at the highest levels of inflation (Chart II-2.5). Moreover, this high Sharpe ratio was not just simply the result of low volatility, since U.S. TIPS had excess returns of 4.6% when inflation was high and 5.7% when inflation was very high.7 The return profile of inflation-protected bonds during inflationary periods was also attractive in our testing period. Average skew was positive, while kurtosis was relatively low (Table II-2.5). The percentage of positive months across all quartiles was also the highest of all asset classes, with a particularly high share of positive returns in the periods of highest inflation. Chart II- Sub-Asset Classes Global Equity Sectors Chart II-3 For the sector analysis, we looked at information technology, financials, energy, materials, utilities, healthcare, and telecommunications. We excluded industrials, consumer discretionary, and consumer staples given that they do not have adequate back data. Once again, we separate rising inflation periods into four quartiles, arriving at the following results: When inflation was low, information technology had the best excess returns while utilities had the worst (Chart II-3.1, panel 1). This matches our observations at the asset class level, as IT is highly responsive to changes in the valuation multiple. When inflation was mild, energy had the best performance, followed by information technology (Chart II-3.1, panel 2). Meanwhile, financials had the worst performance, as rates were normally rising in these periods. When inflation was high, sectors highly correlated with commodity prices such as energy and materials outperformed. Meanwhile, IT was the worst performer (Chart II-3.1, panel 3). When inflation was very high, every sector had negative excess returns. Overall, investing in energy minimized losses (Chart II-3.1, panel 4). However, this performance was in part attributable to the oil spikes of the 1970s. Alternatively, defensive sectors such as utilities, telecommunications, and healthcare also minimized losses. International vs U.S. Equities Chart II-3 How do equities outside of the U.S. behave when inflation is rising? While the high share of U.S. equities in the global index causes U.S. equities to be the main driver of global stock prices, is it possible to improve returns in inflationary environments by overweighting international equities? The answer once again depends on the level of inflation. When inflation was rising but low, U.S. stocks outperformed global ex-U.S. equities in both common currency and local currency terms (Chart II-3.2, panel 1). This was in part due to the inherent tech bias in U.S. stocks. Additionally, the low level of inflation was often accompanied by slowing global growth in our sample, helping the U.S. dollar. When inflation was mild, U.S. stocks once again outperformed international stocks in both local and common currency terms, though to a lesser degree (Chart II-3.2, panel 2). The dollar was roughly flat in this environment. U.S. stocks started to have negative excess returns when inflation was high (Chart II-3.2, panel 3). On the other hand international equities had positive excess returns in dollar terms, partly because of their energy and material bias and partly because the dollar was generally weak in this period. U.S. equities outperformed global ex-U.S. equities by a small margin when inflation was very high, given that defensive sectors such as telecommunication were over-represented in the U.S. index (Chart II-3.2, panel 4). The dollar was roughly flat in this period. Individual Commodities Chart II-3 Our analysis above confirmed that commodities were one of the best assets to hold when inflation was rising. However, which commodity performed best?8 Total return for every commodity was lower than spot return when inflation was low (Chart II-3.3, panel 1). This was due to the upward-sloping term structure of the futures curve (contango), resulting in a negative roll yield. In this range, energy had the best performance, followed by industrial metals. Precious metals had negative excess returns. When inflation was mild, energy had the best performance of any commodity by far (Chart II-3.3, panel 2). Precious and industrial metals had low but positive excess returns in this period. When inflation was high, industrial metals had the highest excess returns, followed by energy (Chart II-3.3, panel 3). We omit energy for the last quartile since there is not enough data available. Overall, when inflation was very high, both gold and silver had the highest excess returns (Chart II-3.3, panel 4). However, gold’s return volatility was much lower, while it also had positive returns 64% of the time compared to 52% for silver. Other Assets U.S. Direct Real Estate Our asset-class analysis confirmed that public real estate (REITs) as an asset class offered poor risk-adjusted returns during inflationary periods. But how did direct real estate perform? We analyzed direct real estate separately from all other assets because of a couple of issues: Our return dataset is available only on a quarterly basis, versus a monthly basis for the rest of the assets in our sample. Even when annualized, volatility is not directly comparable when using data with different frequencies. The NCREIF Real Estate Index that we used is a broad aggregate, which is not investable. Individual property prices might differ from this aggregate. Finally, real estate returns are measured on an appraisal basis. Appraisal-based indices are not reflective of real transactions. Moreover, prices tend to be sticky. To attenuate this issue we unsmoothed the capital returns by removing return autocorrelation. Overall, the Sharpe ratio of direct real estate was solid throughout the first three quartiles of rising inflation (Chart II-4.1, top panel). There is not enough data available for the fourth quartile. However, judging by the performance of U.S. housing in the 1970s from OECD, risk-adjusted returns when inflation was very high was likely positive (Chart II-4.1, bottom panel). Chart II-4 Chart II-4   Cash Cash (investing in a 3-month U.S. Treasury bill) outperformed inflation over our sample (Chart II-4.2, top panel). Moreover, cash provided positive real returns when inflation was mild, or high, or when it was decreasing (Chart II-4.2, bottom panel). However, cash was not a good inflation hedge at the highest inflation quartile, with an average annualized real loss of almost 2%. Juan Manuel Correa Ossa Senior Analyst Global Asset Allocation   III. Indicators And Reference Charts Last month, we argued that the S&P 500 would most likely enter a period of digestion after its furious gains from December to April. This corrective episode is now upon us as the S&P 500 is breaking below the crucial 2,800 level. Moreover, our short-term technical indicators are deteriorating, as the number of stocks above their 30-week and 10-week moving averages have rolled over after hitting elevated levels, but have yet to hit levels consistent with a durable trough. This vulnerability is especially worrisome in a context where pressure will continue to build, as Beijing is only beginning to retaliate to the U.S.’s trade belligerence. Our Revealed Preference Indicator (RPI) is not flashing a buy signal either. The RPI combines the idea of market momentum with valuation and policy measures. It provides a powerful bullish signal if positive market momentum lines up with constructive signals from the policy and valuation measures. Conversely, if constructive market momentum is not supported by valuation and policy, investors should lean against the market trend. It will require either cheaper valuations, a pick-up in global growth or further policy easing before stocks can resume their ascent. On the plus side, our Willingness-to-Pay (WTP) indicator for the U.S. and Japan continues to improve. However, it remains flat in Europe. The WTP indicator tracks flows, and thus provides information on what investors are actually doing, as opposed to sentiment indexes that track how investors are feeling. The current readings in major advanced economies thus suggest that investors are still inclined to add to their stock holdings. Hence, stock weaknesses are likely to prompt buy-the-dip behaviors by investors. Therefore, the expected downdraft will remain a correction and stocks have more cyclical upside. Our Monetary Indicator remains in stimulative territory, supporting our cyclical constructive equity view. The Fed is firmly on hold and global central banks have been opening the monetary spigots, thus monetary conditions should stay supportive. The BCA Composite Valuation Indicator, an amalgamation of 11 measures, is in overvalued territory, but it is not high enough to negate the positive message of our Monetary Indicator, especially as our Composite Technical Indicator has moved back above its 9-month moving average. These dynamics confirm that despite the near-term downside, equities have more cyclical upside. According to our model, 10-year Treasurys are slightly expensive. Moreover, our technical indicator flags a similar picture. However, duration surveys show that investors have very elevated portfolio duration, and both the term premium and Fed expectations are very depressed. Taking this positioning into account, BCA’s economic view is consistent with limited yield downside in the short-run, and higher yields on a 6 to 12 month basis. On a PPP basis, the U.S. dollar is only getting ever more expensive. Additionally, our Composite Technical Indicator is not only in overbought territory, it is also starting to diverge from prices. Normally, this technical action points to a possible trend reversal, especially when valuations are so demanding. However, this downside will only materialize once global growth shows greater signs of strength. EQUITIES: Chart III-1U.S. Equity Indicators U.S. Equity Indicators U.S. Equity Indicators Chart III-2Willingness To Pay For Risk Willingness To Pay For Risk Willingness To Pay For Risk Chart III-3U.S. Equity Sentiment Indicators U.S. Equity Sentiment Indicators U.S. Equity Sentiment Indicators   Chart III-4Revealed Preference Indicator Revealed Preference Indicator Revealed Preference Indicator Chart III-5U.S. Stock Market Valuation U.S. Stock Market Valuation U.S. Stock Market Valuation Chart III-6U.S. Earnings U.S. Earnings U.S. Earnings Chart III-7Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Chart III-8Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance   FIXED INCOME: Chart III-9U.S. Treasurys And Valuations U.S. Treasurys And Valuations U.S. Treasurys And Valuations Chart III-10Yield Curve Slopes Yield Curve Slopes Yield Curve Slopes   Chart III-11Selected U.S. Bond Yields Selected U.S. Bond Yields Selected U.S. Bond Yields Chart III-1210-Year Treasury Yield Components 10-Year Treasury Yield Components 10-Year Treasury Yield Components Chart III-13U.S. Corporate Bonds And Health Monitor U.S. Corporate Bonds And Health Monitor U.S. Corporate Bonds And Health Monitor Chart III-14Global Bonds: Developed Markets Global Bonds: Developed Markets Global Bonds: Developed Markets Chart III-15Global Bonds: Emerging Markets Global Bonds: Emerging Markets Global Bonds: Emerging Markets   CURRENCIES: Chart III-16U.S. Dollar And PPP U.S. Dollar And PPP U.S. Dollar And PPP Chart III-17U.S. Dollar And Indicator U.S. Dollar And Indicator U.S. Dollar And Indicator Chart III-18U.S. Dollar Fundamentals U.S. Dollar Fundamentals U.S. Dollar Fundamentals Chart III-19Japanese Yen Technicals Japanese Yen Technicals Japanese Yen Technicals Chart III-20Euro Technicals Euro Technicals Euro Technicals Chart III-21Euro/Yen Technicals Euro/Yen Technicals Euro/Yen Technicals Chart III-22Euro/Pound Technicals Euro/Pound Technicals Euro/Pound Technicals   COMMODITIES: Chart III-23Broad Commodity Indicators Broad Commodity Indicators Broad Commodity Indicators Chart III-24Commodity Prices Commodity Prices Commodity Prices Chart III-25Commodity Prices Commodity Prices Commodity Prices Chart III-26Commodity Sentiment Commodity Sentiment Commodity Sentiment Chart III-27Speculative Positioning Speculative Positioning Speculative Positioning   ECONOMY: Chart III-28U.S. And Global Macro Backdrop U.S. And Global Macro Backdrop U.S. And Global Macro Backdrop Chart III-29U.S. Macro Snapshot U.S. Macro Snapshot U.S. Macro Snapshot Chart III-30U.S. Growth Outlook U.S. Growth Outlook U.S. Growth Outlook Chart III-31U.S. Cyclical Spending U.S. Cyclical Spending U.S. Cyclical Spending Chart III-32U.S. Labor Market U.S. Labor Market U.S. Labor Market Chart III-33U.S. Consumption U.S. Consumption U.S. Consumption Chart III-34U.S. Housing U.S. Housing U.S. Housing Chart III-35U.S. Debt And Deleveraging U.S. Debt And Deleveraging U.S. Debt And Deleveraging   Chart III-36U.S. Financial Conditions U.S. Financial Conditions U.S. Financial Conditions Chart III-37Global Economic Snapshot: Europe Global Economic Snapshot: Europe Global Economic Snapshot: Europe Chart III-38Global Economic Snapshot: China Global Economic Snapshot: China Global Economic Snapshot: China   Mathieu Savary Vice President The Bank Credit Analyst   Footnotes 1       Edward E. Leamer, "Housing is the business cycle," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 149-233, 2007. 2       This includes both real and financial transactions. 3       Please see Geopolitical Strategy Weekly Report, “How Trump Became A War President,” dated May 17, 2019, available at gps.bcaresearch.com 4       Please see Global Investment Strategy Special Report, “Stay Cyclically Overweight Global Equities, But Hedge Near-Term Downside Risks From An Escalation Of A Trade War,” dated May 10, 2019, available at gis.bcaresearch.com 5       Please see U.S. Equity Strategy Weekly Report, “Trader's Paradise,” dated January 28, 2019, available at uses.bcaresearch.com 6       Please see Carl E. Walsh, “October 6, 1979,” FRSBF Economic Letter, 2004:35, (December 3, 2004). 7       Please see Global Investment Strategy Special Report, “1970s-Style Inflation: Could it Happen Again? (Part 1), ” dated August 10, 2018, and “1970s-Style Inflation: Could it Happen Again? (Part 2),” dated August 24, 2018, available at gis.bcaresearch.com. 8       We use a synthetic TIPS series for data prior to 1997. For details on the methodology, please see: Kothari, S.P. and Shanken, Jay A., “Asset Allocation with Inflation-Protected Bonds,” Financial Analysts Journal, Vol. 60, No. 1, pp. 54-70, January/February 2004. 9       Excess returns are defined as asset return relative to a 3-month Treasury bill. 10       Sector classification does not take into account GICS changes prior to December 2018.  11       Please see Global Asset Allocation Strategy Special Report "REITS Vs Direct: How To Get Exposure To Real Estate," dated September 15, 2016, available at gaa.bcaresearch.com. 12       It is important to note that the synthetic TIPS series does not completely match actual TIPS series for the periods where they overlap. Specifically, volatility is significantly higher in the synthetic series. Thus, results should be taken as approximations. 13       We decompose the returns into the same 4 quartiles to answer this question. However, due to lower data availability, we start our sample in 1978 instead of 1973. Moreover, our sample for energy is smaller beginning in 1983. This mainly reduces the amount of data available at the upper quartile. EQUITIES:FIXED INCOME:CURRENCIES:COMMODITIES:ECONOMY:

HighlightsU.S. inflation is on a structural uptrend. Monetary and fiscal policy, populism, and demographics will tend to push inflation higher over the coming decade.How can investors protect portfolios against inflation risk? We look at periods of rising inflation to determine which assets were the best inflation hedge.We find that the level of inflation is very important in determining which assets work best.When inflation is rising and high, or very high, the best inflation hedges at the asset class level are commodities and U.S. TIPS.When inflation is very high, gold is the best commodity to hold and defensive sectors will minimize losses in an equity portfolio.However, hedges have a cost. Allocating a large percentage of a portfolio to inflation hedges will be a drag on returns. Investors should opt for a low allocation to hedges now, and increase to a medium level when inflation rises further.FeatureSome 38 years have passed since the last time the U.S. suffered from double-digit inflation. The Federal Reserve reform of 1979, championed by Paul Volcker, changed the way the Fed approached monetary policy by putting a focus on controlling money growth.1 The reform gave way to almost four decades of relatively controlled inflation, which persists today.But times are changing. While most of today’s investors have never experienced anything other than periods of tame inflation, BCA expects that rising inflation will be a major driving force of asset returns over the coming decade.2 The main reasons behind this view are the following:A rethink in the monetary policy framework: At its most recent meeting, the FOMC openly discussed the idea of a price-level target, implying that it would be open to the economy running hot to compensate for the past 10 years of below-target inflation (Chart I-1A, top panel).Procyclical fiscal policy: The U.S. is conducting expansionary fiscal policy while the economy is at near-full employment (Chart I-1A, middle panel). The last time this happened in the U.S., during the 1960s, high inflation followed, as the fiscal boost made the economy run substantially above capacity.Waning Fed independence: President Trump has openly questioned the hiking campaign undertaken by the Fed. Moreover, he has tried to nominate Fed governors with dovish tendencies. Historically around the world, a lack of central bank independence has often led to higher inflation rates (Chart I-1A, bottom panel).Peak in globalization: Globalization accelerated significantly in the 1990s and 2000s, flooding the global economy with cheap labor (Chart I-1B, top panel). However, we believe that globalization has peaked. Instead, populism and protectionism will be the dominant paradigms for years to come, reducing the cheap pool of workers and goods previously available.Demographics: The population in the U.S. is set to age in coming years (Chart I-1B, middle panel). As the percentage of U.S. retirees increases, the number of spenders relative to savers will begin to rise (Chart I-1B, bottom panel). Higher spending and lower savings in the economy should create upward pressure on inflation. Chart I-1AStructural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I) Structural Forces Point To Higher Inflation In The Coming Decade (I)   Chart I-1BStructural Forces Point To Higher Inflation In The Coming Decade (II) Structural Forces Point To Higher Inflation In The Coming Decade (II) Structural Forces Point To Higher Inflation In The Coming Decade (II)  If our view is correct, how should investors allocate their money?We attempt to answer this question by evaluating the performance of five major asset classes during periods when inflation was rising. Furthermore, we look into sub-asset class performance to determine how investors should position themselves within each asset class to take advantage of an inflationary environment.In our asset-class analysis, we use a data sample starting in 1973 and we limit ourselves to five publicly traded assets that have adequate history: global equities, U.S. Treasuries, U.S. real estate (REITs), U.S. inflation-linked bonds,3 and commodities. We compare asset classes according to their Sharpe ratios: average annualized excess returns divided by annualized volatilities.4 BCA expects that rising inflation will be a major driving force of asset returns over the coming decade.In our sub-asset class analysis, we analyze global equity sectors, international vs U.S. equities, and individual commodities. In some of the sections in our sub-asset class analysis, our sample is slightly reduced due to lack of historical data. Moreover, since in some instances all sectors have negative returns, we compare sub-asset classes according to their excess returns only.We base our analysis on the U.S. Consumer Price Index, given that most of the assets in our sample are U.S. based. We opt for this measure because it tends to track the living expenses for most U.S. citizens and it is the preferred measure to index defined-benefit payments.Finally, we decompose the periods of rising inflation into four quartiles in order to examine whether the level of inflation has any impact on the performance of each asset. Chart I-2 and Table I-1 show the different ranges we use for our analysis as well as a description of the typical economic and monetary policy environments in each of them. Chart I-2 Chart I- Summary Of ResultsTable I-2 shows the summary of our results. For a detailed explanation on how each asset class and sub-asset class behaves as inflation rises, please see the Asset Class section and the Sub-Asset Class section below. Chart I- Which assets perform best when inflation is rising?Rising inflation affects assets very differently, and is especially dependent on how high inflation is.Global equities performed positively when inflation was rising and low or mild, but they were one of the worst-performing assets when inflation was rising and high or very high. Importantly, equities underperformed U.S. Treasuries in periods of both high and very high inflation.Commodities and U.S. TIPS were the best performers when inflation was high or very high.U.S. REITs were not a good inflation hedge.Which global equity sectors perform best when inflation is rising?Energy and materials outperformed when inflation was high.Every single sector had negative excess returns when inflation was very high, but defensive sectors such as utilities, healthcare, and telecommunications5 minimized losses.Which commodities perform best when inflation is rising?With the exception of energy, most commodities had subpar excess returns when inflation was in the first two quartiles.Industrial metals outperformed when inflation was high.Gold and silver outperformed when inflation was very high. Additionally, gold had consistent returns and low volatility.What is the cost of inflation hedging?To answer this question, we construct four portfolios with different levels of inflation hedging:Benchmark (no inflation hedging): 60% equities / 40% bonds.Low Inflation Hedging: 50% equities / 40% bonds / 5% TIPS / 5% commoditiesMedium Inflation Hedging: 40% equities / 30% bonds / 15% TIPS / 15 % commoditiesPure Inflation Hedging: 50% TIPS / 50% commodities. At the asset-class level, investors should allocate to commodities and U.S. TIPS to hedge inflation. Chart I-3Inflation Hedging Comes At A Cost Inflation Hedging Comes At A Cost Inflation Hedging Comes At A Cost  While increased inflation hedging provides better performance when inflation is high and rising, these hedges are costly to hold when inflation is at lower ranges or when it is falling (Chart I-3, panels 1 & 2). However, adding moderate inflation hedging (low or medium) to a portfolio achieved the right balance between cost and protection, and ultimately improved risk-adjusted returns over the whole sample (Chart I-3, panel 3).What about absolute returns? The benchmark outperformed over the whole sample. However, the low and medium inflation hedging did not lag far behind, while avoiding the big drawdowns of high inflation periods (Chart I-3, panel 4).Investment ImplicationsHigh inflation may return to the U.S. over the next decade. Therefore, inflation hedging should be a key consideration when constructing a portfolio. Based on our results, our recommendations are the following:1.  At the asset-class level, investors should allocate to commodities and U.S. TIPS to hedge inflation.2.  However, these hedges are costly to hold as they will create a drag on returns in periods when inflation is not high or very high. Therefore, a low allocation to inflation hedges is warranted now.3.  Inflation will probably start to pick up in the 2020s. A medium allocation to inflation hedges will then be appropriate.4.  When inflation is high (3.3%-4.9%), investors should overweight energy and materials in their equity portfolios. Likewise, they should overweight industrial metals and energy within a commodity portfolio.5.  When inflation is very high (4.9% or more), investors should overweight defensive sectors in their equity portfolio to minimize losses. Moreover, investors should overweight gold within a commodity portfolio.Asset ClassesGlobal EquitiesThe relationship between equity returns and rising inflation depends on how high inflation is, with outstanding performance when inflation is rising but low or mild, and poor performance as it gets higher (Chart II-1, top panel). Chart II-1 This relationship can be explained by the interaction between interest rates, inflation, earnings, and valuations:Earnings growth was usually slightly negative when inflation was recovering from low levels. However, given that interest rates were very low in this environment and growth expectations were high, multiple expansion boosted equity returns (Chart II-1, bottom panel).When inflation was mild, the Fed typically started to raise rates, resulting in a declining multiple. However, equities had the best performance in this range thanks to very high earnings growth – a result of the economy growing strongly due to a healthy level of inflation.When inflation climbed into the high or very high range, earnings growth was usually positive but beginning to slow, as high inflation weighed on growth. Meanwhile the multiple started to decline rapidly due to rising interest rates and declining growth expectations.With the exception of the mild inflation range, the return profile of equities during inflationary periods was similar to its normal profile: negative skew and excess kurtosis (Table II-1). However, the consistency of returns decreased at higher levels of inflation, with only 45% of months with positive returns when inflation was rising and in its highest quartile. Chart II- U.S. Treasuries Chart II-2 U.S. Treasuries reacted in a similar fashion to equities when inflation was rising (Chart II-2). However, while Treasuries underperformed equities when inflation was low or mild, they actually outperformed equities when inflation was high or very high. This was in part due to the fact that at higher inflation ranges, U.S. Treasuries offer a higher coupon return when rates are high, at least partially counteracting losses from falling prices.The steady stream of cash flows from the coupons helped Treasuries achieve positive returns roughly two-thirds of the time at the highest levels of inflation (Table II-2). However, this consistency in returns came at a cost: very high inflation resulted in negative skew and high excess kurtosis. Therefore, while Treasuries provided frequent positive returns when inflation was very high, they were prone to violent selloffs. Chart II- U.S. REITs Chart II-3 While REITs had high risk-adjusted returns when inflation was rising but mild, much like equities they had subpar performance in every other quartile and particularly poor performance when inflation was high or very high (Chart II-3). These results confirm our previous research showing that REITs performance is very similar to that of equities.6The return consistency for REITs was generally poor in inflationary periods, with the second-lowest percentage of positive return of any asset class (Table II-3). Moreover, REIT returns had excess kurtosis and negative skew throughout all inflation quartiles. Chart II- Commodity Futures Chart II-4 Commodities performed positively in every quartile, and did particularly well when inflation was mild (Chart II-4, top panel). However, total return and price return were very different due to the behavior of the roll and collateral return:Total risk-adjusted returns were lower than spot risk-adjusted returns when inflation was low and rising. This happened because during these periods, commodity supply was high relative to demand, as the economy was recovering from a deflationary shock. Thus, there was an incentive for producers to conserve inventories, making the futures curve upward-sloping (contango). Thus, roll return was negative (Chart II-4, bottom panel).When inflation was in the upper two quartiles, total risk-adjusted returns were much higher than risk-adjusted spot returns. This was because high inflation was the product of supply shocks. These supply shocks resulted in a downward-sloping futures curve (backwardation), which, in turn, resulted in a positive roll return. Additionally, high rates during these regimes contributed to a high collateral return.Commodities provided good return consistency during inflationary periods, with roughly 60% of positive return months in the upper two inflation quartiles (Table II-4). The skew of returns was neutral or positive in the top two quartiles. This means that although volatility was high for commodities, extreme return movements were normally positive. Chart II- U.S. Inflation-Protected Bonds Chart II-5 While inflation-protected bonds provided meager returns when inflation was rising but in the mild range, they provided excellent performance at the highest levels of inflation (Chart II-5). Moreover, this high Sharpe ratio was not just simply the result of low volatility, since U.S. TIPS had excess returns of 4.6% when inflation was high and 5.7% when inflation was very high.7The return profile of inflation-protected bonds during inflationary periods was also attractive in our testing period. Average skew was positive, while kurtosis was relatively low (Table II-5). The percentage of positive months across all quartiles was also the highest of all asset classes, with a particularly high share of positive returns in the periods of highest inflation. Chart II- Sub-Asset ClassesGlobal Equity Sectors Chart III-1 For the sector analysis, we looked at information technology, financials, energy, materials, utilities, healthcare, and telecommunications. We excluded industrials, consumer discretionary, and consumer staples given that they do not have adequate back data.Once again, we separate rising inflation periods into four quartiles, arriving at the following results:When inflation was low, information technology had the best excess returns while utilities had the worst (Chart III-1, panel 1). This matches our observations at the asset class level, as IT is highly responsive to changes in the valuation multiple.When inflation was mild, energy had the best performance, followed by information technology (Chart III-1, panel 2). Meanwhile, financials had the worst performance, as rates were normally rising in these periods.When inflation was high, sectors highly correlated with commodity prices such as energy and materials outperformed. Meanwhile, IT was the worst performer (Chart III-1, panel 3).When inflation was very high, every sector had negative excess returns. Overall, investing in energy minimized losses (Chart III-1, panel 4). However, this performance was in part attributable to the oil spikes of the 1970s. Alternatively, defensive sectors such as utilities, telecommunications, and healthcare also minimized losses. International vs U.S. Equities Chart III-2 How do equities outside of the U.S. behave when inflation is rising? While the high share of U.S. equities in the global index causes U.S. equities to be the main driver of global stock prices, is it possible to improve returns in inflationary environments by overweighting international equities?The answer once again depends on the level of inflation. When inflation was rising but low, U.S. stocks outperformed global ex-U.S. equities in both common currency and local currency terms (Chart III-2, panel 1). This was in part due to the inherent tech bias in U.S. stocks. Additionally, the low level of inflation was often accompanied by slowing global growth in our sample, helping the U.S. dollar.When inflation was mild, U.S. stocks once again outperformed international stocks in both local and common currency terms, though to a lesser degree (Chart III-2, panel 2). The dollar was roughly flat in this environmentU.S. stocks started to have negative excess returns when inflation was high (Chart III-2, panel 3). On the other hand international equities had positive excess returns in dollar terms, partly because of their energy and material bias and partly because the dollar was generally weak in this period.U.S. equities outperformed global ex-U.S. equities by a small margin when inflation was very high, given that defensive sectors such as telecommunication were over-represented in the U.S. index (Chart III-2, panel 4). The dollar was roughly flat in this period. Individual Commodities Chart III-3 Our analysis above confirmed that commodities were one of the best assets to hold when inflation was rising. However, which commodity performed best?8Total return for every commodity was lower than spot return when inflation was low (Chart III-3, panel 1). This was due to the upward-sloping term structure of the futures curve (contango), resulting in a negative roll yield. In this range, energy had the best performance, followed by industrial metals. Precious metals had negative excess returns.When inflation was mild, energy had the best performance of any commodity by far (Chart III-3, panel 2). Precious and industrial metals had low but positive excess returns in this period.When inflation was high, industrial metals had the highest excess returns, followed by energy (Chart III-3, panel 3).We omit energy for the last quartile since there is not enough data available. Overall, when inflation was very high, both gold and silver had the highest excess returns (Chart III-3, panel 4). However, gold’s return volatility was much lower, while it also had positive returns  64% of the time compared to 52% for silver.Other AssetsU.S. Direct Real Estate Chart IV-1Direct Real Estate Is A Good Inflation Hedge Direct Real Estate Is A Good Inflation Hedge Direct Real Estate Is A Good Inflation Hedge  Our asset-class analysis confirmed that public real estate (REITs) as an asset class offered poor risk-adjusted returns during inflationary periods. But how did direct real estate perform?We analyzed direct real estate separately from all other assets because of a couple of issues:Our return dataset is available only on a quarterly basis, versus a monthly basis for the rest of the assets in our sample. Even when annualized, volatility is not directly comparable when using data with different frequencies.The NCREIF Real Estate Index that we used is a broad aggregate, which is not investable. Individual property prices might differ from this aggregate.Finally, real estate returns are measured on an appraisal basis. Appraisal-based indices are not reflective of real transactions. Moreover, prices tend to be sticky. To attenuate this issue we unsmoothed the capital returns by removing return autocorrelation.Overall, the Sharpe ratio of direct real estate was solid throughout the first three quartiles of rising inflation (Chart IV-1, top panel). There is not enough data available for the fourth quartile. However, judging by the performance of U.S. housing in the 1970s from OECD, risk-adjusted returns when inflation was very high was likely positive (Chart IV-1, bottom panel). Cash Chart IV-2Very High Inflation Erodes The Value Of Cash Very High Inflation Erodes The Value Of Cash Very High Inflation Erodes The Value Of Cash  Cash (investing in a 3-month U.S. Treasury bill) outperformed inflation over our sample. (Chart IV-2, top panel). Moreover, cash provided positive real returns when inflation was mild, or high, or when it was decreasing (Chart IV-2, bottom panel). However, cash was not a good inflation hedge at the highest inflation quartile, with an average annualized real loss of almost 2%. Juan Manuel Correa OssaSenior Analystjuanc@bcaresearch.com Footnotes1      Please see Carl E. Walsh, “October 6, 1979,” FRSBF Economic Letter, 2004:35, (December 3, 2004).2      Please see Global Investment Strategy Special Report, “1970s-Style Inflation: Could it Happen Again? (Part 1), ” dated August 10, 2018, available at gis.bcaresearch.com and Global Investment Strategy Special Report, “1970s-Style Inflation: Could it Happen Again? (Part 2),” dated August 24, 2018, available at gis.bcaresearch.com.3      We use a synthetic TIPS series for data prior to 1997. For details on the methodology, please see: Kothari, S.P. and Shanken, Jay A., “Asset Allocation with Inflation-Protected Bonds,” Financial Analysts Journal, Vol. 60, No. 1, pp. 54-70, January/February 2004. Jay A., “Asset Allocation with Inflation-Protected Bonds,” Financial Analysts Journal, Vol. 60, No. 1, pp. 54-70, January/February 2004.4      Excess returns are defined as asset return relative to a 3-month Treasury bill.5      Sector classification does not take into account GICS changes prior to December 2018. 6      Please see Global Asset Allocation Strategy Special Report "REITS Vs Direct: How To Get Exposure To Real Estate," dated September 15, 2016, available at gaa.bcaresearch.com.7      It is important to note that the synthetic TIPS series does not completely match actual TIPS series for the periods where they overlap. Specifically, volatility is significantly higher in the synthetic series. Thus, results should be taken as approximations.8      We decompose the returns into the same 4 quartiles to answer this question. However, due to lower data availability, we start our sample in 1978 instead of 1973. Moreover, our sample for energy is smaller beginning in 1983. This mainly reduces the amount of data available at the upper quartile.       

While we remain bullish on global equities and other risk assets over 12 months, we went tactically short the S&P 500 last Friday following the market’s complacent reaction to the Trump Administration’s further tariffs increases on Chinese imports. While a moderate trade war would still produce more economic damage than standard economic models imply, this would be greatly mitigated by significant Chinese economic stimulus and a Fed that is in no hurry to raise rates and could even cut rates. Barring any further major developments, we recommend investors start increasing risk exposure if the S&P 500 falls to 2711. A dip in global bourses would also create an opportunity to go overweight EM/European equities. Favor gold over government bonds as a low-cost hedge against trade war risks for now.

Highlights U.S. growth remains robust, despite some temporary softness in recent months. Ex U.S., growth continues to fall but, with China probably now ramping up monetary stimulus, should bottom in the second half. Central banks everywhere have turned more dovish, partly in an attempt to push up inflation expectations. The combination of resilient growth and easier monetary policy should be good for global equities. We remain overweight equities versus bonds. Bond yields have fallen sharply everywhere. However, with U.S. inflation still trending up, and central banks unlikely to turn any more dovish this year, yields are unlikely to fall much further in 2019. We recommend a slight underweight on duration. We remain overweight U.S. equities, but are on watch to upgrade the euro zone and Emerging Markets when we have stronger conviction about China’s stimulus. Given structural headwinds in both Europe and EM, this would probably be only a tactical upgrade. We have been tilting our equity sector recommendations in a more cyclical direction, last month raising Industrials and Energy to overweight. We also prefer credit over government bonds within the fixed-income category, though we warn that spreads will not fall much further given weak corporate fundamentals. Feature Recommended Allocation Quarterly - April 2019 Quarterly - April 2019 Overview Don’t Fight The Doves The performance of risk assets essentially comes down to a battle between growth and monetary policy/interest rates. Last September, despite the fact that global economic growth was clearly slowing, the Fed sounded hawkish; this triggered an 18% drop in global equities in Q4. But, since late last year, all major developed central banks have turned more dovish, culminating in March’s decision of the ECB to push back its guidance for its first rate hike, and the FOMC’s wiping out its two planned hikes for 2019. But, at the same time, U.S. economic growth is showing resilience, and we see the first “green shoots” of a cyclical pickup in growth outside the U.S. This is an environment in which risk assets should continue to perform well. Why did the Fed back off? The most likely explanation is that it wants to give itself more room to act come the next recession. Inflation expectations have become unanchored, with 10-year breakevens over the past decade steadily below a level that would be consistent with the Fed achieving its 2% core PCE inflation target in the long run. In the period since the Fed formally introduced this (supposedly “symmetrical”) target in 2012, it has exceeded it in only four months (Chart 1). Around recessions over the past 50 years, the Fed has on average cut rates by 655 basis points (Table 1). It sees little risk, therefore, in letting the economy “run a little hot” and allowing inflation to rise somewhat above 2%. This would reanchor expectations, and eventually get nominal short- and long-term rates higher before the next recession. Chart 1Market Doesn’t Believe The Fed’s Target Market Doesn't Believe The Fed's Target Market Doesn't Believe The Fed's Target Table 1Fed Won’t Be Able To Cut This Much Next Time Quarterly - April 2019 Quarterly - April 2019   Chart 2Financial Conditions Now Much Easier Financial Conditions Now Much Easier Financial Conditions Now Much Easier Chart 3Housing Market Bottoming Out Housing Market Bottoming Out Housing Market Bottoming Out Meanwhile, U.S. growth seems to be stabilizing at a decent level after signs of weakness late last year caused by tighter financial conditions, a slowdown elsewhere in the world, and the six-week government shutdown. An easing of financial conditions since the beginning of the year should help to keep U.S. GDP growth above trend at around 2.0-2.5% this year (Chart 2). Most notably, interest-rate sensitive areas of the economy that were under pressure last year, especially housing, are showing signs of bottoming (Chart 3). Consumption also should be robust, given strong wage growth, consumer confidence close to historic record high levels, and amid no signs of a deterioration in the labor market (Chart 4). Chart 4No Signs Of Weaker Labor Market No Signs Of Weaker Labor Market No Signs Of Weaker Labor Market Chart 5Some 'Green Shoots' For Global Growth Some "Green Shoots" For Global Growth Some "Green Shoots" For Global Growth   A key question for us over the next few months will be when to shift allocations to more cyclical, higher-beta equity markets such as the euro area and Emerging Markets. These have underperformed year-to-date despite the strong risk-on market. China’s nascent reflationary stimulus will decide the timing and level of conviction of this shift. As we explain in detail on page 6, we think the jury is still out on whether China is injecting liquidity on anything like the same scale as it did in 2016. Even if it is, historically it has taken six to 12 months before the effect showed through via a rebound in global trade, commodity prices, and other China-related indicators. The first early signs of a bottoming are emerging: Chinese fixed-asset investment and the Caixin Manufacturing PMI beat expectations last month, the German ZEW Expectations indicator has started to recover, and the diffusion index of the Global Leading Economic Indicator (which often leads the LEI itself by a few months) has picked up (Chart 5). We are on watch to shift our allocation1 but, given the long-term structural headwinds against both Europe and EM, we need to be more convinced about the strength of Chinese stimulus before doing so. The seeds of recession are sown in expansions. Eventually, we see the newly dovish Fed falling behind the curve. The Fed Funds Rate is still below the range of estimates of the neutral rate – hard though this is to estimate in real time (Chart 6). If the economy remains as strong as we expect, sometime next year inflation could begin rising to uncomfortable levels (and asset bubbles start to be of concern), which would push the Fed back into hiking mode. Given that the market is pricing in Fed rate cuts, not hikes, and that the Fed can hardly sound any more dovish than it does now without moving to an outright easing path, it seems to us that long-term rates are very unlikely to fall from here (Chart 7). Chart 6Fed Still Below Neutral Fed Still Below Neutral Fed Still Below Neutral Chart 7Can The Fed Get Any More Dovish Than This? Can The Fed Get Any More Dovish Than This? Can The Fed Get Any More Dovish Than This? In this environment, therefore, we continue to expect global equities to outperform bonds over the next 12 months. However, a recession is possible in 2021 triggered by the Fed late next year needing to put its foot abruptly on the brake.   What Our Clients Are Asking Chart 8Ex-U.S. Equities Driven By China Stimulus Ex US Equities Driven By China Stimilus Ex US Equities Driven By China Stimilus When Is The Time To Switch Allocations To Europe And EM? It is slightly surprising that the 12% rally in global equities this year has been led by the low-beta U.S., up 13%, rather than Europe (up 9%) or emerging markets (up 9% - and much less if the strong Chinese market is excluded). Is it time to switch to these underperforming, more cyclical markets? Our answer is, not yet. Global growth ex-U.S. continues to weaken. It is likely to bottom sometime in the second half, as a result of Chinese growth stabilizing. However, the jury is still out on whether the increase in Chinese credit creation in January was a one-off, or major policy reversal. Even if it is the latter, a revival in global growth (and cyclical markets) has typically lagged Chinese stimulus by 6-12 months (Chart 8, panel 1). There are also significant structural headwinds for both the euro zone and Emerging Markets which make us reluctant to overweight them unless there are clear cyclical reasons to do so. Both have lagged global equities fairly consistently since the Global Financial Crisis, with only brief outperformance during periods of economic acceleration, such as in 2016 and 2012 (panel 2). The euro zone remains challenged by its banking system. Loan growth has been stagnant for years, and banks remain undercapitalized relative to their U.S. peers, and highly fragmented (panels 3 and 4). Emerging markets are hampered by their high level of foreign-currency debt (which makes them highly sensitive to U.S. financial conditions), dependence on China, and lack of structural reform. We could see ourselves shifting our recommendation from the U.S. to the euro area and EM, and becoming outright bearish on the U.S. dollar (a counter-cyclical currency), over the coming months if we find confirmation of a bottoming of global cyclical growth and become more confident in the size of China’s stimulus. But given the structural headwinds, and the steady underperformance of these markets, we need stronger evidence first.   Chart 9Oil, Positioning, And Housing Oil, Positioning, And Housing Oil, Positioning, And Housing Why Is The 10-Year Bond Yield So Depressed? Despite U.S. equities rallying back to within 4% of a record high, the U.S. Treasury bond yield has fallen further this year (Chart 9, panel 1). Moreover, the 3-month/10-year yield curve has briefly inverted. Besides the Fed’s recent more dovish turn, what has depressed bond yields? We would pin the cause on the following factors: Dampened inflation expectations: Over the past few years the 10-year yield has been closely correlated with the oil price via inflation expectations. A temporary supply shock in Q4 caused oil prices to decline sharply. But tighter supply this year should allow the oil price to recover further. This should cause a rise in inflation expectation (panel 2). Trade positioning: Late last year,  speculative short positions in government bonds were at their highest levels since 2015. However, the Q4 equity selloff pushed investors to cover their positions; these are now close to neutral (panel 3). Home Sales: Housing data has been weak over the past few quarters, with both existing and new home sales declining. But there are now signs of recovery: mortgage applications have started to pick up, which should in turn push home sales higher (panel 4). This should also allow for a rise in bond yields. Our key take-away from March’s FOMC meeting, when the tone turned decidedly dovish, is that the Fed is focusing on re-anchoring inflation expectations, which should push nominal yields higher. We think the market is very pessimistic by pricing in 42 and 56 bps of rate cuts over the next 12 and 24 months respectively. It would take a significant further weakening of economic data to make the Fed’s stance turn even more dovish and for nominal yields to fall even further.   How Will U.S. Corporate Bonds Perform In The Next Recession? Historically high levels of U.S. corporate debt, as well as declining credit quality in the investment-grade space, have started to worry investors (Chart 10). Specifically, investors are worried that, when the next default cycle comes, a large portion of investment-grade debt will be downgraded to junk, forcing fund managers who are constrained to hold certain credit qualities to sell. These worries seem to be justified. Investment-grade bonds of lower credit quality tend to experience large increases in migration to junk status during credit recessions (Chart 11). Given the current composition of the U.S. investment-grade corporate bond universe, a credit recession would imply a downgrade to junk status of 4.6% of the index if we assume similar behavior to previous recessions. Depending on the speed of the selloff, such a downgrade could also have grave consequence for liquidity. According to the Securities Industry and Financial Markets Association (SIFMA), average daily turnover in the U.S. corporate bond market was 0.34% in 2018. Thus, it is not hard to envision a situation where forced selling could surpass normal levels of liquidity. However, it is hard to tell what would be the effect of such a fire-sale on credit spreads, given that they tend to widen in recessions regardless. While this asset class could perform poorly in the next recession, we don’t expect that its weakness will translate to the real economy. Leveraged institutions such as banks hold just 18% of corporate credit. Furthermore, despite being at all-time highs, U.S. nonfinancial corporate debt to GDP is still at a much healthier level than in other countries (Chart 12). Chart 10Declining Quality In Investment Grade Declining Quality In Investment Grade Declining Quality In Investment Grade Chart 11 Chart 12U.S. Corporate Debt Levels Are Healthy Relative To The Rest Of The World U.S. Corporate Debt Levels Are Healthy Relative To The Rest Of The World U.S. Corporate Debt Levels Are Healthy Relative To The Rest Of The World   Chart 13A Value Rebound? A Value Rebound A Value Rebound Chart 14   Is It Time To Favor Value Over Growth Again? Since it peaked in May 2007, the ratio of global value to growth has attempted to rebound several times amid a sustained downtrend (Chart 13). Due to the cyclical nature and the neutral relative valuation of the value/growth indexes, we have preferred to use sector positioning (cyclicals vs. defensives) to implement a value/growth style tilt in our global portfolio since March 20162 (Chart 13, panel 1). Lately, we have received many requests on the topic of the value-versus-growth-ratio. After reaching a historical low in August 2018, the  value/growth ratio slightly rebounded in Q4 2018 before reversing some of its gains so far this year. Additionally, the value/growth valuation gap as measured by both price-to-book and forward P/E has reached a historically low level (Chart 13, panel 4). As we have often noted, the sector composition of both the value and growth indexes changes over time.2 Chart 14 shows the current sector weights of S&P Pure Value and Pure Growth Indexes.3 It’s clear that now a bet on Pure Value versus Pure Growth is essentially a bet on Financials (which account for 35% of the Pure Value index) versus Tech and Healthcare (which together account for 38% of the Pure Growth index) - see also Chart 13, panel 2. Given the cyclical nature of the value/growth ratio and also the sector concentration, it’s not surprising that the value/growth play is also a play on euro area versus U.S. equities (Chart 13, panel 3). Currently, we are neutral on Financials and Tech, while overweight Healthcare in our global sector portfolio, and we are putting the euro area on an upgrade watch (see page 14). Therefore, maintaining a neutral stance between value and growth is in line with our sector and country views. However, a close watch for a possible upgrade of value is also warranted given the extreme valuation measures.   Global Economy Overview: U.S. growth has slowed recently, though it remains more robust than in the more cyclical economies in Europe and emerging markets. Central banks almost everywhere have recently turned dovish. However, China’s increased monetary stimulus should help global growth bottom out in H2. This could lead the Fed and central banks in other healthy economies to return to a rate-hiking path. U.S.: The U.S. economy has been weak in recent months. The Citigroup Economic Surprise Index (Chart 15, panel 1) has collapsed, and the Fed NowCasts point to only 1.3-1.7% QoQ annualized GDP growth in Q1 (compared to 2.2% in Q4). But the slowdown is mostly due to the six-week government shutdown (which probably took 1% off growth), some seasonal adjustment oddities (which leave Q1 as the weakest quarter almost every year), and tighter financial conditions in H2 2018 which have now largely reversed. The manufacturing and non-manufacturing ISMs in February were  still healthy at 54.2 and 59.7 respectively. Consumption (propelled by strong employment growth and accelerating wages) and capex remain strong (panel 3). BCA expects GDP growth in 2019 to be around 2.0-2.5%, still above trend. Euro Area: The European economy continues to slow, driven by weak exports to emerging markets, troubles in the banking sector, and political uncertainty. Q4 GDP growth was only 0.8% QoQ annualized, and the manufacturing PMI has fallen to 47.6 (with Germany as low as 44.7). But there are some early signs of an improvement. The ZEW Expectations index for Germany has bottomed (Chart 16, panel 1), fiscal policy should boost euro area growth this year by around 0.5 percentage points, and wage growth has begun to accelerate. The key remains Chinese stimulus, whose positive effects should help European exports recover sometime in H2. Chart 15U.S. Growth Slowing But Still Robust U.S. Growth Slowing But Still Robust U.S. Growth Slowing But Still Robust Chart 16Signs Of Bottoming In Global Ex-U.S.? Signs Of Bottoming In Global Ex-U.S.? Signs Of Bottoming In Global Ex-U.S.? Japan: Japan also remains highly dependent on a Chinese stimulus. Machine tool orders (the best indicator of capex demand from China) fell by 29% YoY in February. Despite stronger wage growth, now 1.2% YoY, inflation shows no signs of moving up towards the Bank of Japan’s target of 2%: ex energy and food CPI inflation is still only 0.4%. The biggest risk in 2019 is October’s planned consumption tax hike from 8% to 10%. Prime Minister Abe has said that he will cancel this only in the event of a shock on the scale of Lehman Brothers’ bankruptcy. The government has put in place measures to soften the impact (most notably a 5% rebate on purchases at small retailers after October 1 paid for electronically), but consumption is still likely to fall significantly. Emerging Markets: China seems to have ramped up its monetary stimulus, with total social financing in January and February combined up 12% over the same months last year. Recent data have shown signs of a stabilization of growth: the manufacturing PMI rebounded to 49.9 in February from 48.3, and fixed-asset investment beat expectations at 6.1% YoY in January and February combined. Nonetheless, the size of liquidity injection is likely to be smaller than in previous episodes such as 2016, since Premier Li Keqiang and the PBOC have warned of the risk of excessive speculation. Elsewhere, some emerging economies (notably Brazil and Mexico) have showed signs of recovery after last year’s deterioration, whereas others (such as South Africa, Indonesia, and Poland) continue to suffer. Interest rates: Central banks worldwide have generally turned more dovish in recent months, with the Fed and ECB both moving to signal no rate hikes this year. This has pushed down long-term rates globally, with 10-year bond yields falling below 0% again in Germany and Japan. However, with global growth likely to bottom over the next few months, rates may not stay at current depressed levels. U.S. inflation, in particular, continues to trend up, and the Fed’s target PCE inflation measure is likely to exceed 2% over coming months. We see the Fed turning more hawkish by year-end, and long rates globally more likely to rise than fall from current levels.   Global Equities Chart 17Watch Earnings Watch Earnings Watch Earnings Remain Cautiously Optimistic: We added risk in our January Portfolio Update4 by putting cash back to work in global equities, and then in the March Portfolio Update5 we reduced the underweight in EM equities and increased the tilt to cyclicals at the expense of defensives, to hedge against a continuing acceleration in Chinese credit growth. All these came after our risk reduction in July 2018.6 GAA’s portfolio approach has always been to take risks where they are most likely to be rewarded. BCA’s macro view is that global economic growth data is likely to be on the weak side in the coming months, but will pick up in the second half. This implies that equities are likely to rally again after a period of congestion within a trading range, supporting a cautiously optimistic portfolio allocation for the next 9-12 months. At the asset-class level, our positioning of overweight equities versus bonds while neutral on cash, reflects the “optimistic” side of our allocation. However, the rebound in global equities since the December sell-off has been driven completely by a valuation re-rating, while earnings growth has been revised down sharply. (Chart 17). As such, within global equities, our preference for low-beta countries (favoring DM versus EM, and favoring the U.S over the rest of DM) reflects the “cautious” aspect of our allocation. Our macro view hinges largely on what happens to China. There are signs that China may have abandoned its focus on deleveraging, yet it is too early to tell if it has switched back to a reflationary path. Therefore, our global equity sector overlay has a slight cyclical tilt by overweighting Industrials and Energy, which are among the main beneficiaries of Chinese reflationary policies or a positive resolution to U.S.-China trade negotiations. Chart 18Warming Up To The Euro Area Warming Up To The Euro Area Warming Up To The Euro Area Euro Area Equities: On Upgrade Watch We have favored U.S. equities relative to the euro area since July 2018.7 Since then, the U.S. has outperformed the euro area by 11% in USD terms and by 8% in local currency terms, with the difference being attributed to the weakness of the euro versus the U.S. dollar. Given BCA’s view on the global economy and the U.S. dollar, however, we are watching closely to switch our recommendation between the U.S. and euro area equities, for the following reasons: First, as shown in Chart 18, panel 1, the relative performance between the euro area and the U.S. is highly correlated with the EUR/USD exchange rate. BCA believes that the U.S. dollar is set for a period of weakness starting in the second half of the year,8 which bodes well for the outperformance of euro area equities. Second, relative earnings growth between the euro area and the U.S. is driven by the underlying strength of the economies, as represented by PMIs (panel 2). Both the relative earnings growth and relative PMI have stopped falling and have begun to bottom in favor of the euro area; Third, even though the euro area’s beta has been declining while that of the U.S. has increased, euro area beta is still higher than that in the U.S., making it more of a beneficiary of a global growth recovery; However, the relative valuation of euro area equities to their U.S. counterparts is now  neutral not at the extreme level which historically has been a good entry-point into eurozone  equities (panel 4).   Chart 19Becoming Less Defensive Becoming Less Defensive Becoming Less Defensive Global Sector Allocation: Gradually Becoming Less Defensive GAA’s sector portfolio took profits on its pro-cyclical positioning and went defensive in July 20189 and remained so until the March Monthly update10 when we upgraded Energy and Industrials to overweight from neutral, while downgrading Consumer Staples two notches to underweight from overweight (Chart 19). The upgrade of Industrials was mainly a hedge against further acceleration in China’s credit growth. But why did we upgrade Energy to overweight yet maintained an underweight in Materials? Long-term GAA clients know that, in terms of global sector allocation, we have structurally favored the oil-related Energy sector to the metals-related Materials sector since October 2016, because oil supply/demand is more global in nature while the supply/demand of metals, especially industrial metals, is closely linked to China (see also the Commodity section of this Quarterly on page 18). From a cyclical perspective, the relative performance of the two sectors has historically closely correlated with the relative prices of oil and metals, as shown in panel 2. This is not surprising because changes in forward earnings for the two sectors are also closely linked to change in the corresponding commodity prices (panels 3 and 4). BCA’s Commodity and Energy Strategy service has an overweight rating on oil and a neutral stance on metals, implying that the growth in the oil price will outpace that of metal prices, which suggests that the Energy sector will outperform the Materials sector (panel 2).   Government Bonds Maintain Slight Underweight On Duration. Global equities have recovered 16% since reaching the low of 2018 on December 24, yet the global bond yield has decreased by 21 bps over the same period. While the directional movement of bond yields is somewhat puzzling given such strong performance in equities (see page 7 for some explanations), it’s evident that the bond markets have been driven by the recent weakness in global growth (Chart 20, panel 3), and are pricing out any expectation of rate hikes over the coming year in major developed economies. Given the surprisingly dovish tone at the March FOMC meeting and BCA’s House View that global economic growth will rebound in the second half, bond yields are now highly exposed to any hawkish shift in central bank policies and any recovery in inflation expectations. As such, it’s still appropriate to maintain a slight underweight on duration over the next 9-12 months. Favor Linkers Vs. Nominal Bonds. Depressed inflation expectations have been one reason why global bond yields have decoupled from equities. However, the crude oil price, which closely correlates with inflation expectations, has stabilized. BCA’s Commodity & Energy Strategy service expects Brent crude to end 2019 at US$75 per barrel (Chart 21). This implies a significant rise in inflation expectations in the second half of the year, supporting our preference for inflation-linked bonds over nominal bonds. However, TIPS are no longer cheap. For those who have not already moved to overweight TIPS, we suggest “buying TIPS on dips”. Inflation-linked bonds (ILBs) in Australia and Japan are also still very attractive versus their respective nominal bonds. Overweighting ILBs in those two markets also fits well with our macro themes. Chart 20Rates: Likely More Upside Risk Rates: Likely More Upside Risk Rates: Likely More Upside Risk Chart 21Favor Inflation Linkers Favor Inflation Linkers Favor Inflation Linkers   Corporate Bonds Chart 22Tactical Upside Remains For Credit Tactical Upside Remains For Credit Tactical Upside Remains For Credit In February, we raised credit to overweight within a fixed-income portfolio while underweighting government bonds. So far, this has proven to be the right decision, as corporate bonds have generated excess returns of 90 basis points over duration-matched Treasuries. We based our positioning on the mounting evidence that global growth is turning up: credit impulses are starting to rebound in several major economies, monetary conditions have eased, and our diffusion index of global leading indicators has rebounded sharply, indicating that there remains tactical upside for global credit (Chart 22– panel 1 and 2). When will we close our tactical overweight? Our U.S. Bond Strategy Service has set a target for spreads of U.S. corporate bonds with different credit ratings. According to their targets, which denote the median spread typical of late-cycle environments, there is still some room for further spread compression in non-AAA credits (Chart 22 – panel 3 and 4). However, the upside is limited and, if spreads keep tightening, we will probably close our position by the end of Q2. On a cyclical horizon, the fundamentals of corporate health are still a headwind, with both the interest-coverage and liquidity ratio for U.S. investment-grade corporates standing near 10-year lows.11 Moreover, we expect these ratios to deteriorate further, as corporate profits will likely come under pressure due to increasing wage growth. Finally, we expect that the Fed will turn more hawkish by the end of 2019, turning monetary policy from a tailwind to a headwind. Thus, we recommend investors to remain overweight, but be ready to turn bearish in the back end of the year.   Commodities Chart 23Prefer Oil, Watch Metals Prefer Oil, Watch Metals Prefer Oil, Watch Metals Energy (Overweight): Stable demand, declining Venezuelan production due to U.S. sanctions, instability and possible outages in Libya, Iraq, and Nigeria, alongside the GCC’s commitment to cut output through year-end, should support oil prices and allow further upside (Chart 23, panels 1 & 2). While U.S. crude production is on the rise, bottlenecks in its export capabilities should limit market oversupply. Crude supply shocks should outweigh any slowdown in demand, specifically from emerging markets. BCA’s energy strategists expect Brent to average $75 and $80 throughout 2019 and 2020 respectively, and for the gap between WTI and Brent to narrow significantly. Industrial Metals (Neutral): China, the world’s largest consumer, still plays a big role in the direction of industrial metals. Year-to-date, metals prices have been supported partly by a more stable dollar. For now, we maintain a neutral stance until we see confirmation that Chinese stimulus will trigger further upside to metal prices perhaps in the second half. However, a lack of sustained Chinese demand, alongside weaker global growth over the next few months, would weigh down on metal prices (panel 3). Precious Metals (Neutral): Gold has reversed its downslide and rallied by over 10% from its Q4 2018 low. With the market pricing out any Fed rate hikes this year, rising inflation expectations, a weaker USD by year-end, and lower real rates should help gold outperform other commodities in this late-cycle phase. We recommend an allocation to gold as an inflation hedge, as well as a hedge against geopolitical risks (panel 4).     Currencies Chart 24The End Of The Dollar Bull Market The End Of The Dollar Bull Market The End Of The Dollar Bull Market U.S. Dollar: Our bullish stance on the dollar has proven to be correct, as the trade-weighted dollar has appreciated by 5% in the past 12-months thanks to the slowdown in global growth. However, the two reasons for the growth slowdown – Fed tightening and Chinese deleveraging – have started to ease. On March 20 the Fed revised its forward guidance to no rate hikes in 2019 and only one rate hike in 2020. Meanwhile, Chinese total social financing relative to GDP has bottomed, indicating that Chinese authorities have opted for a pause in their deleveraging campaign (Chart 24, panel 1). These developments will likely boost global growth and hurt the countercyclical greenback. Therefore, we recommend investors to slowly shift to a cyclical underweight on the dollar. Euro: Most of the factors that dragged the euro down last year are fading: political risk in Italy has eased, fiscal policy is moving from a headwind to a tailwind, and the relative LEI between the EU and the US has started to pick up (panel 2). Moreover, we see little scope for euro area monetary policy to turn any more dovish versus the U.S., since forward rate expectations currently stand near 2014 lows (panel 3). Thus, we expect the euro to be one of the best performing currencies this year. Yen: Easy monetary policy by global central banks will boost asset prices and reduce volatility, creating a risk-on environment that is typically negative for the yen (panel 4). Moreover, the IMF still projects Japan to have a negative fiscal drag of 0.7% this year, which will force the BoJ to prolong its yield curve control regime. As a result, we expect the yen to be one of the worst performing currencies this year.       Alternatives Intro: Investors’ allocation to alternatives is on the rise as we get closer to the end of the business cycle along with increasing realized volatility in traditional assets. In the alternatives assets space, we recommend thinking about allocations through three buckets: 1) return enhancers, means of outperforming traditional equity, fixed income, and mixed-asset strategies; 2) inflation hedges, means of preserving capital throughout periods of elevated inflation; and 3) volatility dampeners, means of reducing drawdowns and portfolio volatility during periods of market drawdowns. Return Enhancers: In our July and October 2018 Quarterly reports, we recommended investors trim back on PE allocations and reallocate towards hedge funds. Growing competition in the PE space has pushed up multiples. Given where the business cycle currently is, we favor macro hedge funds, as they tend to outperform in this sort of environment as well as in downturns and recessions (Chart 25, panel 1). Inflation Hedges: In our July 2018 Quarterly, we recommended investors pare back their real estate allocations, given the backdrop of a slowdown/sideways trend in the sector, and specifically within the retail segment. Given that the end of the current cycle is likely to be accompanied by elevated levels of inflation, we recommend clients to modestly allocate to commodity futures on the likelihood of a softer dollar and rising energy prices (panel 2). Volatility Dampeners: We continue to recommend both farmland and timberland since they have lower volatility than other traditional and alternative asset classes (panel 3). While timberland is more impacted by economic growth via the housing market, farmland has a near-zero correlation with economic growth. We do not favor structured products due to their unattractive valuations. Chart 25Prefer Hedge Funds Over Private Equity Prefer Hedge Funds Over Private Equity Prefer Hedge Funds Over Private Equity   Risks To Our View Our economic outlook is quite sanguine. What would undermine this scenario? Many investors have become nervous about the inversion of the U.S. yield curve. And we have shown in the past that an inversion of the 3-month/10-year yield curve has been a reliable indicator of recessions 12-18 months ahead.12 Its inversion in March, then, is a concern. But note that the indicator works only using a three-month moving average (Chart 26); the curve often inverted for a brief period without signaling recession. We expect long-term rates to rise from here, steepening the curve. But a prolongation of the current inversion would clearly be a worrying signal. The direction of China continues to play a key role in defining the macro picture. Our current allocation is based on the view that China is doing some monetary and fiscal stimulus but that, at the current pace, it will be much smaller than in 2016 (Chart 27). The weak response of money supply growth suggests, as Premier Li Keqiang has complained, that the liquidity is mostly going into speculation (note that A-shares have risen by 20% this year) rather than into the real economy. The March Total Social Financing data, released in mid-April, will give a better read of the degree of the reflation. If it is bigger than we expect, this would suggest a quicker shift into euro area and Emerging Market equities than we currently advocate. The U.S. dollar remains a key driver of asset allocation. The dollar is a counter-cyclical currency and, with global growth slowing, has continued to appreciate moderately this year (Chart 28). We see a weakening of the dollar later this year, when global growth picks up. But if this were to happen more quickly or dramatically than we expect – not impossible given the currency’s over-valuation and crowded long-dollar positions – EM stocks and commodity prices, given their strong inverse correlation with the dollar, could bounce sharply. Chart 26Yield Curve Inversion Yield Curve Inversion Yield Curve Inversion Chart 27How Much Is China Reflating? How Much Is China Reflating? How Much Is China Reflating? Chart 28Dollar Is Counter-Cyclical Dollar Is Counter-Cyclical Dollar Is Counter-Cyclical   Garry Evans, Chief Global Asset Allocation Strategist garry@bcaresearch.com Xiaoli Tang, Associate Vice President xiaolit@bcaresearch.com Juan Manuel Correa Ossa, Senior Analyst juanc@bcaresearch.com Amr Hanafy,  Research Associate amrh@bcaresearch.com   Footnotes 1      Please see the Equities Section of this Quarterly on page 14 for more details. 2      Please see Global Asset Allocation “GAA Quarterly,” dated March 31, 2016 available at gaa.bcaresearch.com 3       Please see https://us.spindices.com/documents/methodologies/methodology-sp-us-style.pdf 4       Please see Global Asset Allocation “Monthly - January 2019,” dated January 2, 2019 available at gaa.bcaresearch.com 5     Please see Global Asset Allocation “Monthly - March 2019,” dated March 1, 2019 available at gaa.bcaresearch.com 6       Please see Global Asset Allocation “Quarterly - July 2018,” dated July 2, 2018 available at gaa.bcaresearch.com 7       Please see Global Asset Allocation “Quarterly - July 2018,” dated July 2, 2018 available at gaa.bcaresearch.com 8       Please see Global Investment Strategy Weekly Report, “What’s Next For The Dollar?” dated March 15, 2019  available at gis. bcaresearch.com 9       Please see Global Asset Allocation “Quarterly - July 2018,” dated July 2, 2018 available at gaa.bcaresearch.com 10    Please see Global Asset Allocation “Monthly Portfolio Update,” dated March 1, 2019 available at gaa.bcaresearch.com 11    Based on BCA’s Global Fixed Income Strategy’s bottom-up health monitor. 12   Please see Global Asset Allocation Special Report, “Can Asset Allocators Rely On Yield Curves?” dated June 15, 2018 available at gaa.bcaresearch.com GAA Asset Allocation

Highlights Currency markets continue to fight a tug-of-war between deteriorating global growth and easing global financial conditions. Meanwhile, history suggests that the trade-weighted dollar should have been 10-15% higher, based on portfolio flows and interest rate differentials. The more-muted bounce is a cause for concern. As the battle unfolds, likely winners in the interim will be safe-haven currencies such as the yen. Watch the gold-to-bond ratio for cues on where the balance of forces are shifting, with a rising ratio negative for the dollar. We expect a day of reckoning to eventually arrive for the U.S. dollar, once investors shift their focus towards the rising twin deficits, de-dollarization of the global economy and low expected returns for U.S. assets. Feature The recent calm in developed currency markets seems very eerie, given the storm that has gripped global financial markets over the past week. Dismal manufacturing PMI readings from Europe and Japan last week sent equity markets into a tailspin. The closely watched U.S. 10-year versus 3-month spread inverted, triggering panic selling among investors who favor this spread as their most reliable recession indicator. Equity markets in Asia are off the year’s highs, while regional bond yields are holding close to trading lows. Outside of oil, commodity markets have also been soft. Despite these moves, the trade-weighted dollar has been relatively stable. Over the last few months, most currency pairs have been narrowly trading towards the apex of very tight wedge formations. This has severely dampened volatility (Chart 1). Over the longer term, the stability of these crosses relative to gold has spooky echoes of a fixed exchange rate regime a la Bretton Woods (Chart 2). Chart 1An Eerie Calm In Currency Markets An Eerie Calm In Currency Markets An Eerie Calm In Currency Markets Chart 2Fixed Exchange Rates Versus Gold? Fixed Exchange Rates Versus Gold? Fixed Exchange Rates Versus Gold?   In physics, centripetal systems tend to stay in equilibrium, while centrifugal forces can explode in spectacular fashion. In the post-Bretton Woods world, it has been very rare for periods of extended currency stability to persist. This means constantly monitoring both the trend and magnitude of imbalances between economies to gauge where the pressure points are, and in what direction the corresponding exchange rates might eventually give way. The balance of forces driving the dollar outlook seems like a natural starting point for this exercise.  Global Liquidity And The Dollar Judging by most measures of relative trends, the dollar should be soaring right now. The March Markit manufacturing PMI releases last week showed that while both Japan and the euro area remain in contraction territory, the U.S. reading of 52.5 puts it solidly above the rest of the world. It is true that the momentum of this leadership has been rolling over recently, but historically such large growth divergences between the U.S. and the rest of the world have generated anywhere from 10-15% rallies in the greenback over a period of six months (Chart 3). So far, the DXY dollar index is up 1.9% since October. Every time this measure has severely contracted in the past, the shortage of dollars has triggered a blowup somewhere. Until the U.S. Federal Reserve’s recent volte-face on monetary policy, relative yields also favored the greenback. The 2-year swap differential between the U.S. and the rest of the world pinned the DXY dollar index at 105, or 8% above current levels (Chart 4). Meanwhile, relative policy rates also suggest the broad trade-weighted dollar should be 6% higher. And even today, unless the Fed moves towards outright rate cuts, the dovish shift by other central banks around the world remains an immediate tailwind for the U.S. dollar. Chart 3USD Should Be Higher Based On Growth Divergences USD Should Be Higher Based On Growth Divergences USD Should Be Higher Based On Growth Divergences   Chart 4USD Should Be Higher Based On Swap Differentials USD Should Be Higher Based On Swap Differentials USD Should Be Higher Based On Swap Differentials   Internationally, the Fed’s tapering of asset purchases has been a net drain on dollar liquidity, despite a widening U.S. current account deficit. The Fed’s balance sheet peaked a nudge above US$4.5 trillion in early 2015 and has been falling ever since. This has triggered a severe contraction in the U.S. monetary base (Chart 5), and severely curtailed commercial banks’ excess reserves, which are now contracting by over 20% on a year-on-year basis. One of BCA’s favorite key measures of international liquidity is foreign central bank reserves deposited at the Fed. This is contracting at its worst pace in over 40 years. Every time this measure has severely contracted in the past, the shortage of dollars has triggered a blowup somewhere, typically among countries running twin deficits. Chart 5A Liquidity Squeeze Of Dollars A Liquidity Squeeze Of Dollars A Liquidity Squeeze Of Dollars To cap it off, last year’s change in the U.S. tax code to allow for repatriation of offshore cash helped the dollar, but not to the extent that might have been expected. On a rolling 12-month basis, the U.S. has repatriated back a net of about $US400 billion in assets, or close to 2% of GDP. Historically, this is a very huge sum that would have had the potential to set the greenback on fire – circa 10% higher (Chart 6). Chart 6USD Should Be Higher On Repatriation Flows USD Should Be Higher On Repatriation Flows USD Should Be Higher On Repatriation Flows Dollar liquidity shortages tend to be vicious due to their ability to trigger negative feedback loops. As the velocity of international U.S. dollars rises, offshore dollar rates begin to rise, lifting the cost of capital for borrowing countries. Debt repayment replaces capital spending and consumption once this reaches a critical threshold. The drop in output, prices, or a combination of the two, only exacerbates the debt-deflation problem.  The bottom line is that looking at historical trends, the dollar should be much higher than current levels. Practical investors recognize the need to pay heed to correlation shifts. Either our favorite liquidity indicators have stopped working outright or more realistically other forces are at play, explaining the relative stability in the greenback. A Counter-Cyclical Currency The first possibility is that the recent stability in the U.S. dollar has been in anticipation of better economic data in the second half of this year. We have shown many times in the past that the greenback is a countercyclical currency that tends to do poorly when global economic momentum picks up. Many investors are now fixated on China – specifically, whether the latest credit injection will be sufficient to turn around the Chinese economy, let alone the rest of the world. Meanwhile, as the U.S.-China trade talks progress, it will likely include a currency clause to prevent depreciation of the RMB versus the dollar. In reality, there is still scant evidence to support a bottoming in global growth, making it difficult to loop this back to dollar stability.  In reality, there is still scant evidence to support a bottoming in global growth, making it difficult to loop this back to dollar stability. Typical reflation indicators such as commodity prices, emerging market currencies and industrial share prices are off their lows but rolling over. March export data remained weak globally, even though compositionally there were some green shoots. Exports to China from Singapore jumped by 34% year-on-year, and those to emerging markets by 22% year-on-year. Japanese machine tool orders from China also showed some stabilization. Historically, these are necessary but not sufficient conditions to gauge whether we are entering a bottoming process (Chart 7). Another contradiction is at play: If the dollar rally is being held back by prospects of improvement in global growth, then gold should fare poorly and most currencies should be outperforming both gold and the greenback. Until yesterday’s sell off in gold, this was not the case. Suggesting some other explanation might be tempering the U.S. dollar’s rise. Chart 7Tentative Green Shoots In Global Trade? Tentative Green Shoots In Global Trade? Tentative Green Shoots In Global Trade?   Regime Shift? While U.S. residents have been repatriating capital domestically, foreign investors have been fleeing U.S. capital markets at among the fastest pace in recent years. On a rolling 12-month total basis, the U.S. saw an exodus of about US$200 billion in equity from foreigners, the largest on record (Chart 8). In aggregate, both foreign official and private long-term portfolio investment into the U.S. has been rolling over, with investor interest limited only to agency and corporate bonds. Foreigners are still net buyers of about $450 billion in U.S. securities, but the downtrend in purchases in recent years is evident. Interestingly, gold has also outperformed Treasurys over this period. The U.S. dollar remains the reserve currency of the world today, but that exorbitant privilege is clearly fraying on the edges. Vis-à-vis official flows, China has risen within the ranks to be the number one contributor to the U.S. trade deficit. At the same time, Beijing has been destocking its holding of Treasurys, if only as retaliation against past U.S. policies, or perhaps to make room for the internationalization of the RMB (Chart 9). In a broader sense, the fall in dollar deposits at the Fed might just represent an underlying shift in the global economy away from dollars and towards a more diversified basket of currencies. This makes sense, given a growing proportion of trading – be it in crude, natural gas, bulk commodities or even softs – is being done outside U.S. exchanges. Chart 8Foreigners Are Dumping U.S. Equities Foreigners Are Dumping U.S. Equities Foreigners Are Dumping U.S. Equities   Chart 9China Has Stopped Recycling Surpluses Into Treasurys China Has Stopped Recycling Surpluses Into Treasurys China Has Stopped Recycling Surpluses Into Treasurys   Data from the International Monetary Fund (IMF) shows that the global allocation of foreign exchange reserves towards the U.S. dollar peaked at about 72% in the early 2000s and has been in a downtrend since. Meanwhile, allocation to other currencies, notably the British pound, Swiss franc and the yen have been surging (Chart 10). At the same time, foreign central banks have been amassing tremendous gold reserves, notably Russia and China, almost to the tune of the total annual output of the yellow metal (Chart 11). This further helps explain why the dollar may not be as strong as it should be. It also explains the stability of these currency pairs relative to the price of gold. Chart 10The World Is Diversifying Away From Dollars The World Is Diversifying Away From Dollars The World Is Diversifying Away From Dollars Chart 11Central Banks Are Absorbing Most Gold Production Central Banks Are Absorbing Most Gold Production Central Banks Are Absorbing Most Gold Production The U.S. dollar remains the reserve currency of the world today, but that exorbitant privilege is clearly fraying on the edges as the balance-of-payments dynamics are heading in the wrong direction. Over the next five years, the U.S. Congressional Budget Office (CBO) estimates that the U.S. budget deficit will swell to 4.5% of GDP. Assuming the current account deficit widens a bit then stabilizes, this will pin the twin deficits at 8.1% of GDP. This assumes no recession, which would have the potential to swell the deficit even further (Chart 12). Chart 12A Twin Deficit Cliff For The Dollar A Twin Deficit Cliff For The Dollar A Twin Deficit Cliff For The Dollar The U.S. saw its twin deficits swell to almost 13% of GDP following the financial crisis, but the difference then was that in the wake of the commodity boom the dollar was cheap (and commodity currencies overvalued). The subsequent shale revolution also greatly cushioned the U.S. trade deficit. Shale productivity remains robust and U.S. output will continue to rise, but the low-hanging fruit has already been plucked. For one reason or another, foreign central banks are diversifying out of dollars. If due to the changing landscape in trade, this is set to continue. If it is an excuse to shy away from the rapidly rising U.S. twin deficits, this will continue as well. And if the U.S. dollar cannot sufficiently rally on “good news,” expect it to sink when the bad news eventually starts rolling in. That said, the timing remains uncertain.   Private Capital Flows Foreign official flows might have been fleeing the U.S. dollar because it has lost some luster as a reserve currency, but private capital will begin stampeding toward the exits when the return on invested capital (ROIC) for U.S. assets falls below their cost of capital. For investors with a long horizon, this may already be happening. Take 10-year government bonds for example. For the Japanese or German investor, borrowing in local currency and investing in the U.S. might seem like the logical course of action given negative domestic rates and a 10-year Treasury yield of 2.4%. However, this positive carry suddenly evaporates when one factors in hedging costs (Chart 13). Chart 13JGBs More Attractive Than Hedged Treasuries JGBs More Attractive Than Hedged Treasuries JGBs More Attractive Than Hedged Treasuries During bull markets, countries that have negative interest rates are subject to powerful outflows from carry trades. The impact of these are difficult to measure, but it is fair to assume that periods of low hedging costs (which tend to correspond to periods of lower volatility) can be powerful catalysts. As markets get volatile and these trades get unwound, unhedged trades become victim to short-covering flows. With many yield curves around the world inverting, the danger is that the frequency of this short-covering implicitly rises, since long-bond returns are falling short of spot rates. One winner as volatility starts to rise is the yen. Investors should consider initiating short USD/JPY positions today as a hedge. Outside the fixed-income space, what matters is that relative ROICs are higher than the cost of capital. Both are difficult to measure for many emerging or even developed economies across asset classes. However, for the equity market, a good starting point has always been valuations as exchange rates tend to move to equalize returns across countries. The forward P/E on the MSCI U.S., Europe and Japan indexes is 16.5x, 12.6x and 12.3x. The skew towards the U.S. is because market participants expect U.S. profits to keep outperforming, the U.S. currency to keep appreciating, or a combination of the two. However, empirically, current U.S. valuations suggest future earning streams have already been fully capitalized today (Chart 14). Chart 14AReturn On Capital Could Be Lowest In The U.S. (1) Return On Capital Could Be Lowest In The U.S. (1) Return On Capital Could Be Lowest In The U.S. (1) Chart 14BReturn On Capital Could Be Lowest In The U.S. (2) Return On Capital Could Be Lowest In The U.S. (2) Return On Capital Could Be Lowest In The U.S. (2) Chart 14CReturn On Capital Could Be Lowest In The U.S. (3) Return On Capital Could Be Lowest In The U.S. (3) Return On Capital Could Be Lowest In The U.S. (3) The expected 10-year annualized return for MSCI U.S. is 3.1%, versus 5.5% for MSCI Europe and 9.6% for MSCI Japan. If we assume the U.S. dollar is overvalued, as some models suggest, this will further erode future U.S. returns. Net equity portfolio flows into the U.S. are already negative, as shown in a previous chart. This means the day of reckoning for the U.S. dollar may not be far off when current tailwinds eventually fade.   Chester Ntonifor, Foreign Exchange Strategist chestern@bcaresearch.com Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Closed Trades

A Modest Gold Portfolio Hedge Still Makes Sense A Modest Gold Portfolio Hedge Still Makes Sense Overweight Within our broad-based U.S. equity sector and subsector coverage, we continue to recommend a modest gold-related hedge via being overweight the global gold mining index (given that the S&P gold index only comprises a single stock) versus the MSCI All-Country World Index, expressed through the long GDX:US/short ACWI:US exchange traded funds. Globally there is a slowdown that has infected a number of economies and BCA’s calculated Global ZEW economic sentiment index has lit a fire under gold mining stocks (Global ZEW shown inverted, second panel). The longer the global soft-patch lasts, the longer Central Banks will remain on the sidelines or even ease monetary policy in order to rekindle growth. Moreover, the global policy uncertainty index is perking up given the ongoing U.S./China trade tussle (top panel), recent news of a no deal between the U.S. and North Korea and looming Brexit deadline. All of this underpins global gold stocks. Tack on the recent fear that gripped markets, and skyrocketing equity risk premia, and the ingredients are in place for additional gains in the relative share price ratio (bottom panel). Bottom Line: Stay overweight the global gold miners index (long GDX:US/short ACWI:US); please see Monday’s Weekly Report for more details.