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Dear Client, Please join me and my fellow BCA Strategists Caroline Miller and Arthur Budaghyan for a live webcast tomorrow, Friday, April 24 at 8:00 AM EDT (1:00 PM BST, 2:00 PM CEST, 8:00 PM HKT) where we will discuss the outlook for developed and emerging market equities over the immediate (0-3 month) and cyclical (12 month) horizon. In lieu of our regular report next week, we will be sending you a Special Report from my colleague Jonathan LaBerge. Jonathan will discuss the global fiscal response to the COVID-19 pandemic, and will provide some perspective on whether the response will be enough to prevent an "L-shaped" economic outcome. I hope you find the report insightful. Best regards, Peter Berezin, Chief Global Strategist Highlights Theoretically, the pandemic could raise the long-term fair value of equities – as proxied by the present value of future cash flows – if it causes the discount rate to fall by more than enough to offset the decline in corporate earnings. While such a seemingly bizarre outcome is not our base case, it cannot be easily dismissed, especially since the evidence suggests that real long-term interest rates have fallen a lot more since the start of the pandemic than have earnings estimates. We consider a number of challenges to this claim, including: current earnings estimates are too optimistic; long-term interest rates are being distorted by QE and other factors; and the equity risk premium will be higher in a post-pandemic world. While all these counterarguments have merit, none of them are airtight. Even if the pandemic ultimately boosts stock prices, the path to new highs will be a bumpy one. In the near term, a slew of bad economic data could cause another bout of market turbulence. Nevertheless, over a 12-month horizon, investors should continue to overweight equities relative to cash and bonds. The plunge in front-end oil futures this week was a timely reminder of the extent to which the pandemic has suppressed crude demand. Oil prices should bounce back later this year as global growth recovers, the dollar weakens, and more oil supply is taken offline. A Counterintuitive Scenario Chart 1EPS Growth Scenarios Could the pandemic end up raising the long-term fair value of equities – as proxied by the present value of future cash flows – compared with a scenario in which the virus never emerged? Such an outcome sounds far-fetched but could occur if the pandemic causes the discount rate to fall by more than enough to offset the decline in corporate earnings. How likely is such an outcome? To get a sense of the answer, let us consider a simple example where, prior to the pandemic, cash flows to shareholders were expected to grow by 2% per annum, the risk-free interest rate was 2%, and the equity risk premium was 5% (implying a discount rate of 7%). Let us suppose that the pandemic temporarily reduces corporate profits by 60% in 2020, 40% in 2021, and 20% in 2022 relative to the aforementioned baseline, with earnings returning to trend beyond then (Chart 1, Scenario 1). All things equal, an earnings shock of this magnitude would reduce the present value of corporate profits by 5.4%. For the present value to return to its original level, the discount rate would have to fall by 27 bps. How does this example square with reality? While it is impossible to know what would have happened in the absence of the pandemic, we can observe that S&P 500 EPS estimates have so far fallen by 22% for 2020 and 11% for both 2021 and 2022 since the start of the year. Meanwhile, the 30-year TIPS yield – a proxy for long-term real interest rates – has fallen by 75 bps, and is down 138 bps since the beginning of 2019. Based on this comparison, one can conclude that the decline in rate expectations has been large enough to offset the drop in projected earnings. Four Counterarguments The discussion above makes a number of assumptions that could easily be challenged. Let us consider four counterarguments to the claim that the pandemic has increased the long-term fair value of equities. As we shall see, while all four counterarguments are valid, none of them are bulletproof. Bottom-up earnings estimates are too optimistic. As estimates come down, so will stock prices. Calculations of long-term risk-free rates are being distorted by QE and other factors. If a more cautious mindset results in a lower risk-free rate, it should also result in a higher equity risk premium (ERP). A higher ERP would push up the discount rate, reducing the fair value of the stock market. The pandemic could lead to a variety of investor-negative outcomes, including further deglobalization, higher corporate taxes, and the loss of policy maneuverability during the next downturn. Let us examine all four of these counterarguments in turn. 1.   Are Earnings Estimates Too Optimistic? BCA’s US equity strategists expect S&P 500 companies to generate $104 in EPS this year and $162 in 2021. A simple weighted-average of these estimates implies a forward 12-month EPS of $123, compared with the current consensus of $140. Could the pandemic end up raising the long-term fair value of equities? Granted, consensus estimates for any given calendar year usually start high and drift lower over time, reflecting the overoptimistic bias of bottom-up analysts (Chart 2). Nevertheless, the gap between where consensus is today and where we think it will end up is large enough that further negative revisions could still weigh on stocks. As evidence, note that stock prices tend to move in the same direction as earnings revisions and 12-month ahead earnings estimates (Chart 3). Chart 2Are Earnings Estimates Too Optimistic? Chart 3Negative Earnings Revisions Will Weigh On Stocks In The Near Term The discussion above suggests that stocks could face some downward pressure in the near term, reflecting the tendency for investors to myopically focus on earnings over the next 12 months. This does not, however, negate the possibility that the pandemic could raise the long-term present value of future cash flows. After all, even the earnings projections from our equity strategists are much more benign than those in the stylized example of a 60%, 40%, and 20% decline in EPS for the next three years. In fact, to get something that fully offsets the decline in real yields since the start of the year requires a scenario that not only assumes a 60%, 40%, and 20% drop in earnings, but also assumes that profits remain 10% lower forever relative to the baseline (Chart 1, Scenario 2). 2.    Are Estimates Of Long-Term Risk-Free Rates Distorted To The Downside? Chart 4Rate Expectations Have Come Down So far, we have argued that earnings are unlikely to fall by enough over the next few years to counteract the steep drop in long-term interest rates. But, perhaps the problem is not with the earnings projections? Perhaps the problem is with the estimates of the long-term risk-free rate? Conceptually, long-term government bond yields should incorporate the market’s expectation of how short-term interest rates will evolve over the life of the bond plus a “term premium.” The inelegantly named term premium is a catch-all, unobservable variable that captures everything that affects bond yields other than changes in rate expectations. Term premia have fallen in global bond markets since the start of the year, partly because central banks have ramped up bond buying programs with the express intent of pushing down long-term yields. Nevertheless, rate expectations have also come down, as can be gleaned from forward contracts linked to expected overnight rates (Chart 4). This suggests that expectations of lower rates have played an important role in explaining the decline in bond yields. In any case, it is not clear why one should control for the term premium in calculating discount rates. If the idea is to compare bonds with stocks, then one should look at bond yields directly, rather than trying to ascertain what yields would hypothetically be in the absence of various distortions – especially if these distortions are unlikely to go away anytime soon. You can’t eat hypothetical profits. 3.    Projecting The Equity Risk Premium If overly optimistic earnings estimates and a distorted risk-free rate cannot fully counteract the claim that the pandemic has raised the long-term fair value of equities, what about the third driver of present value calculations: the equity risk premium (ERP)? While the ERP cannot be observed directly, it is possible to infer it by looking at the difference between the long-term earnings yield and the real bond yield. Under some simplifying assumptions, the earnings yield provides a good estimate of the long-term real total return to holding stocks.1 To the extent that the earnings yield has risen this year, while the risk-free rate has fallen, one can infer that the equity risk premium has gone up. However, there is no money in observing today’s equity risk premium; the money is in projecting it. The equity risk premium can shift a lot over the course of the business cycle. This is why the stock-to-bond ratio moves so closely with, say, the ISM manufacturing index (Chart 5). Chart 5Stock-To-Bond Ratio And Economic Growth Go Hand-In-Hand Like many financial market variables, the ERP has tended to be mean reverting. Today, the ERP is above its long-term average both in the US and the rest of the world, which suggests that it may decline over time (Chart 6). If that were to happen, stocks would almost certainly outperform bonds. Chart 6Favor Equities Over Bonds Over A 12-Month Horizon Yet, in an environment where caution reigns supreme, might the ERP stay elevated? After all, if risk-free bond yields remain low because people are more reluctant to spend, wouldn’t that mean that investors will continue to demand an additional premium to holding stocks? Perhaps, but this assumes that bonds will retain their safe-haven characteristics. There are two reasons to think that these characteristics may fray in a post-pandemic world. First, with policy rates now close to zero in most markets, there is a limit to how much further bond yields can decline. This means that bond prices will not rise much even if the recession lasts much longer than expected  (Table 1). Table 1Bonds Won't Provide Much Of A Hedge Even In A Severe Recession Scenario Second, looking further out, highly indebted governments may try to dissuade central banks from raising rates even once unemployment has fallen back to normal levels. This could lead to higher inflation, imperiling bond investors. While such an outcome would not necessarily be good for stocks, equities will be more insulated than bonds because nominal profits tend to rise more quickly in an environment of higher inflation. As such, one could plausibly argue that the equity risk premium should not be any higher, and conceivably should be lower, in a post-pandemic world. 4.     Unintended Consequences Chart 7Global Trade Was Already Stalling While it is too early to say with any confidence what the long-term effects of the pandemic will be, it is certainly possible that they will be momentous. Globalization had already stalled before the eruption of the Sino-US trade war (Chart 7). It could go into reverse if trade tensions remain elevated and countries increasingly focus on ensuring that they have enough domestic capacity to produce various essential goods. Support for pro-business, laissez-faire policies could also wane further. Prior to the pandemic, BCA’s geopolitical team gave President Trump a 55% chance of being re-elected. Now, with the economy in shambles, they only give him a 35% chance. If the Democrats take control of the White House and both Houses of Congress, Trump’s corporate tax cuts are sure to be watered down if not fully reversed. The pandemic could also limit the ability of policymakers to respond to the next downturn. Interest rates cannot be cut further and high debt levels may limit fiscal maneuverability, especially for countries that do not have access to their own printing press. To be sure, there could be some silver linings. Many lessons have been learned over the past few months. If another pandemic were to occur, we will be better prepared. Meanwhile, gratuitous business travel will be curtailed now that people have grown more comfortable with videoconferencing. And just like the space race inspired a generation of scientists and engineers, the pandemic could motivate more young people to pursue a career in medical research. Investment Conclusions While not our base case, we would subjectively assign a 25% probability to an outcome where the pandemic ends up raising the long-term present value of corporate cash flows by pushing down the discount rate by more than enough to offset the near-term drop in profits. Chart 8Don't Rush Into Growth Stocks Just Yet, As Value Stocks Are Still Cheap Even if the pandemic leaves stocks lower than they otherwise would have been, the current equity risk premium is high enough to warrant overweighting global equities over bonds on a 12-month horizon. Of course, stocks are unlikely to sail smoothly to new highs on the back of lower interest rates alone. As we discussed last week in a reported entitled “Still Stuck in The Tree,” it will be difficult to dismantle ongoing lockdown measures until a mass-testing regime is put in place, something that is still at least a few months away at best.2 With the data on the economy and corporate earnings set to disappoint in the near term, stocks could give up some of their recent gains. Thus, while we are still bullish on equities on a long-term horizon, we are more cautious on a short-term, 3-month horizon.  Drilling further down, the decline in long-term rates this year is likely to create winners and losers across all asset classes. Some of the winners and losers are fairly straightforward to identify. For instance, growth stocks, whose market value hinges on anticipated cash flows that may not be realized until far into the future, gain relatively more from lower rates than value stocks. Banks, which are overrepresented in value indices, have suffered from the flattening of yield curves and lower rates in general. That said, given that value stocks currently trade at a multi-decade discount to growth stocks, we would not recommend that clients chase growth stocks at this juncture (Chart 8). Other winners and losers from lower rates may be less readily discernible. For example, consider the US dollar. The greenback benefited over the past few years from the fact that US rates were higher than those abroad. That rate differential has narrowed significantly recently as the Fed brought interest rates down to zero (Chart 9). Yet, the dollar has managed to remain well bid thanks to safe-haven flows into the Treasury market. Looking out, if the Fed succeeds in easing dollar funding pressures, as we expect will be the case, the dollar will weaken. Chart 9Rate Differentials Are No Longer A Tailwind For The US Dollar The plunge in near-term oil futures this week was a reminder of the extent to which the pandemic has suppressed crude demand. Transportation accounts for over half of global oil usage. Going forward, the combination of a weaker dollar, increased supply discipline, and a rebound in global growth in the second half of this year will help lift oil prices (Chart 10). Our energy analysts see WTI and Brent returning to $38/bbl and $42/bbl, respectively, by the end of the year following the drumming they received this week (Chart 11).3 Chart 10Commodity Prices Usually Rise When The Dollar Weakens Chart 11Oil Prices Expected To Recover Oil prices tend to be strongly correlated with inflation expectations (Chart 12). As inflation expectations rise, real rates could fall further, giving an additional boost to equity valuations.   Chart 12Inflation Expectations And Oil Prices Tend To Move Closely Together Peter Berezin Chief Global Strategist peterb@bcaresearch.com   Footnotes 1  For a more in-depth discussion on this, please see Global Investment Strategy Special Report, “TINA To The Rescue,” dated August 23, 2019. 2  Please see Global Investment Strategy Weekly Report, “Still Stuck In The Tree,” dated April 16, 2020. 3  Please see Commodity & Energy Strategy Weekly Report, “USD Strength Restrains Commodity Recovery,” dated April 23, 2020; Special Alert, “WTI In Free Fall,” dated April 20, 2020; and Weekly Report, “US Storage Tightens, Pushing WTI Lower,” dated April 16, 2020. Global Investment Strategy View Matrix Current MacroQuant Model Scores

Highlights Social distancing makes it impossible to do jobs that require close personal interaction, yet these are the very job sectors that have kept jobs growth alive in recent decades. If social distancing persists, then AI will penetrate these job sectors too. Aggregate wage inflation is set to collapse – not just temporarily, but structurally. Structurally overweight US T-bonds versus the core European bonds in Germany, France, Netherlands, Switzerland and Sweden. Structurally overweight big technology, structurally underweight banks. Structurally overweight S&P 500 versus Euro Stoxx 50. Fractal trade: long Australian 30-year bond versus US 30-year T-bond. Feature Social distancing will feature large in our lives for the foreseeable future, and it carries a profound consequence. Social distancing really means physical distancing. And physical distancing diminishes the ways that we can interact with other humans – through the qualities of empathy, sympathy, the ability to recognise and respond to emotional cues, and to express ourselves through complex movements. You cannot hug someone on Facetime. Social distancing makes it impossible to do jobs that require close personal interaction. From an economic perspective, social distancing makes it impossible to do jobs that require close personal interaction. It follows that in the recent bloodbath of job losses, the biggest casualties have been in employment sectors that rely on this close personal interaction: food services and drinking places (waitresses, bartenders, and baristas), ambulatory healthcare services, hotels, and social assistance (Table I-1). Table I-1Social Distancing Is Destroying Jobs That Require Close Personal Interaction A profound consequence arises because these are the very sectors that have kept jobs growth alive in recent decades (Table I-2). Millions of new jobs that rely on close personal interaction have more than offset the structural job destruction in manufacturing and finance. As well as being export-proof, jobs that require this close personal interaction have been ‘artificial intelligence (AI) proof’. That is, until now. Table I-2Jobs That Require Close Personal Interaction Have Been The Engine Of Jobs Growth One UK doctor told the New York Times “we’re basically witnessing 10 years of change in one week”. Before the virus, online consultations made up only 1 percent of doctors’ appointments. But now, three in four UK patients are seeing their doctor remotely. Moravec’s Paradox + Social Distancing = A Very Tough Jobs Market Regular readers will know that one of our mega-themes is the far-reaching societal and economic implications of Moravec’s Paradox. Named after the professor of robotics, Hans Moravec, the paradox points out that: For AI the hard things are easy, but the easy things are hard. By the hard things, we mean things that require ‘narrow-frame pattern recognition’ within a defined body of knowledge. For example, playing chess, translating languages, diagnosing medical conditions, and analysing legal problems. We find these tasks hard, but AI finds them effortless. By the easy things, we mean our social skills: empathy, sympathy, the ability to recognise and respond to emotional cues, and to express ourselves through complex movements. To us, all these things are second nature, but AI finds them very hard to replicate. The reason, it turns out, is that the higher brain that enables us to learn and play chess and solve similar abstract problems evolved relatively recently. Whereas the ancient lower brain that enables complex movement and the associated giving and receiving of emotional signals took much longer to evolve. As AI is just reverse engineering the human brain, AI has found it easy to replicate the less-evolved higher brain functions, but very difficult to replicate the skills that emanate from the deeply evolved lower brain. Millions of new jobs that rely on close personal interaction have more than offset the structural job destruction in manufacturing and finance. The far-reaching societal and economic implication is that we have misunderstood and mispriced what is difficult and what is easy. By reverse engineering the brain, AI is correcting this mispricing. So far, AI has been most disruptive to high-paying jobs requiring abstract problem-solving skills, such as in finance. AI has been less disruptive to jobs requiring close personal interaction (Table I-3). But if social distancing persists, then AI will disrupt those jobs too, especially during a recession. Table I-3New Jobs That Require Close Personal Interaction Have Offset Lost Jobs In Manufacturing And Finance Labour Market Disruption Intensifies During A Recession To paraphrase Ernest Hemingway, industries adopt labour-saving technologies gradually then suddenly. And the suddenly tends to be during a recession. This is because once an industry has already shed many workers, it is easier to restructure the industry with a new labour-saving technology that reduces labour input permanently. At the start of the Great Depression a substantial part of the US automobile industry was still based on skilled craftsmanship. These smaller, less productive craft-production plants were the ones that shut down permanently, while plants that had adopted labour-saving mass production had the competitive advantage that enabled them to survive. The result was a major restructuring of the auto productive structure. Likewise, until the late 1990s, the ‘typing pool’ was a ubiquitous feature of the office environment. But once the 2000 downturn arrived, these typing jobs became extinct to be replaced by the wholesale roll-out of Microsoft Word. After the 2008-09 recession, UK economic power became focussed in a few large firms that could access the finance to ensure their survival. As small firms went by the wayside, job growth came disproportionately from self-employment and the ‘gig economy’. In this case, the labour market disruption hurt productivity as an army of freelancers ended up doing their own sales, marketing and accounts in which they had no specialism (Chart I-1 and Chart I-2). Chart I-1The 1990s UK Recovery Produced No Increase In Self-Employment... Chart I-2...But The 2010s UK Recovery Produced A Huge Increase In Self-Employment The point is that all recessions produce major structural changes in the labour market and the current recession will be no different. If social distancing persists, it will nullify the social skill advantage that humans have over AI. Therefore, one structural change will be that AI disrupts the more ‘human’ job sectors that have so far escaped its penetration. All recessions produce major structural changes in the labour market. To repeat, labour market disruption arrives suddenly. Within the space of a few weeks, most UK patients have switched to receiving their medical care online or by telephone. Admittedly, the patients are still ‘seeing’ a human doctor, but the question and answer consultations are a classic example of narrow-frame pattern recognition. Meaning that it would be a small step to upgrade the human doctor to the superior diagnosis from AI. And if AI can produce a superior diagnosis to your human doctor, why can’t AI also produce a a superior legal analysis to your human lawyer? The Investment Implications Even when the labour market seemed to be humming and unemployment rates were at multi-decade lows, aggregate wage inflation was anaemic (Chart I-3 and Chart I-4). A major reason was the hollowing out of high paying jobs and substitution with low paying jobs. Now that unemployment rates are surging, and AI is penetrating even more job sectors, aggregate wage inflation is set to collapse – not just temporarily, but structurally. Chart I-3Unemployment Rates Have Been At Multi-Decade Lows... Chart I-4...But Wage Inflation Has Been ##br##Anaemic This leads to the following investment implications: 1. All bond yields will gravitate to their lower bound, so any bond yield that can go lower will go lower. 2. It follows that bond investors should continue to overweight US T-bonds versus the core European bonds in Germany, France, Netherlands, Switzerland and Sweden (Chart I-5). Chart I-5Any Bond Yield That Can Go Lower Will Go Lower 3. Underweight banks structurally. Depressed and flattening yield curves combined with shrinking demand for private credit constitutes a strong headwind. Banks are now underperforming in both up markets and in down markets (Chart I-6). Chart I-6Banks Are Underperforming In Both Up Markets And Down Markets 4. Overweight technology structurally. As AI penetrates even more job sectors, the superstar companies of big tech will continue to thrive. The duopoly of Apple and Google are designing proximity-tracking apps for every smartphone in the world. Big tech is laying down the law to governments, and there is not even a hint of antitrust suits. Tech is now outperforming in both up markets and in down markets (Chart I-7). Chart I-7Tech Is Outperforming In Both Up Markets And Down Markets 5. Finally, if big tech outperforms banks, the sector composition of the S&P 500 versus the Euro Stoxx 50 makes it inevitable that the US equity market will structurally outperform the euro area equity market (Chart I-8). Chart I-8If Big Tech Outperforms Banks, The S&P 500 Must Outperform The Euro Stoxx 50 Fractal Trading System* The steep decline in the US 30-year T-bond yield means that it has crossed below the Australian 30-year bond yield for the first time in recent history. Resulting from this dynamic, this week’s recommended trade is long the Australian 30-year bond versus the US 30-year T-bond. Set the profit target at 9 percent with a symmetrical stop-loss. Chart I-930-Year Govt. Bonds: Australia Vs. US In other trades, long IBEX versus Euro Stoxx 600 hit its 3 percent stop-loss, while long nickel versus copper is half way to its 11 percent profit target. The rolling 12-month win ratio now stands at 63 percent. When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. * For more details please see the European Investment Strategy Special Report “Fractals, Liquidity & A Trading Model,” dated  December 11, 2014, available at eis.bcaresearch.com. Dhaval Joshi Chief European Investment Strategist dhaval@bcaresearch.com Fractal Trading System   Cyclical Recommendations Structural Recommendations Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields   Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations  

Highlights Q1/2020 Performance Breakdown: Our recommended model bond portfolio underperformed the custom benchmark by -40bps during the first quarter of the year – a number that would have been far worse if not for the changes in exposures for duration (increased) and spread product (decreased) made in early March. Winners & Losers: Underperformance was concentrated in sovereign debt, US Treasuries in particular (-94bps), as yields plummeted. This detracted from the outperformance in spread product (+51bps) led by US investment grade corporates (+34bps) and emerging markets (+20bps). Scenario Analysis For The Next Six Months: Given the ongoing uncertainty over when the COVID-19 pandemic and economy-crushing global lockdown will end, we are sticking close to benchmark on overall duration and spread product exposure. Instead, we recommend focusing more on country allocation and spread product relative value to generate outperformance, favoring markets where there is direct involvement from central banks. Feature Global bond markets were roiled in the first quarter of 2020 by the economic fallout from the COVID-19 pandemic. Government bond yields crashed to all-time lows while volatility reached extremes across both sovereign debt and credit. The quick, coordinated policy response from global monetary and fiscal authorities – which includes unprecedented levels of direct central bank asset purchases, both in terms of size and the breadth across markets and counties - has helped stabilize global credit spreads and risk assets, more generally. The outlook remains highly uncertain, however, with many governments worldwide looking to reopen their collapsed economies, risking the potential resurgence of a virus still lacking effective treatment or a vaccine. We are focusing more on relative value between counties and sectors. In this report, we review the performance of the BCA Research Global Fixed Income Strategy (GFIS) model bond portfolio during the eventful first quarter of 2020. We also present our updated recommended positioning for the portfolio for the next six months. The main takeaway there is that we are focusing more on relative value between counties and sectors while staying close to benchmark on both overall global duration and spread product exposure versus government bonds (Table 1). Table 1GFIS Model Bond Portfolio Recommended Positioning For The Next Six Months Chart 1Q1/2020 Performance: Lagging, But It Could Have Been Much Worse As a reminder to existing readers (and to new clients), the model portfolio is a part of our service that complements the usual macro analysis of global fixed income markets. The portfolio is how we communicate our opinion on the relative attractiveness between government bond and spread product sectors. This is done by applying actual percentage weightings to each of our recommendations within a fully invested hypothetical bond portfolio. Q1/2020 Model Portfolio Performance Breakdown: A Missed Rally In Sovereigns, Outperformance In Credit The total return for the GFIS model portfolio (hedged into US dollars) in the first quarter was -0.1%, underperforming the custom benchmark index by -40bps (Chart 1).1 That relative underperformance came from the government bond side of the portfolio, while our spread product allocation outperformed the benchmark. US Treasuries underperformed the most (-91bps) with losses concentrated in the +10 year maturity bucket. (Table 2). After US Treasuries, euro area high-yield corporates were the second worst performer, underperforming the benchmark by -10bps. Outperformance in spread product was driven by US investment grade industrials (+22bps) and EM credit (+20bps). Table 2GFIS Model Bond Portfolio Q1/2020 Overall Return Attribution The potential losses to our model portfolio were greatly mitigated by changes in positioning during the quarter. Our decision to raise overall global duration exposure to neutral at the beginning of March helped shield the portfolio as yields plummeted.2 We followed this by upgrading sovereign debt in the US and Canada, both higher-beta countries, to overweight while moving to an underweight stance on US high-yield debt, euro area investment-grade and high-yield debt, and emerging market (EM) USD-denominated sovereign and corporate debt.3 In an environment of rampant uncertainty, these allocation changes helped prevent catastrophic losses in the model portfolio that had previously been positioned for a pickup in global growth. The potential losses to our model portfolio were greatly mitigated by changes in positioning during the quarter. In terms of the specific breakdown between the government bond and spread product allocations in our model portfolio, the former generated -91bps of underperformance versus our custom benchmark index while the latter outperformed by +51bps. The bar charts showing the total and relative returns for each individual government bond market and spread product sector are presented in Charts 2 and 3. Chart 2GFIS Model Bond Portfolio Q1/2020 Government Bond Performance Attribution Chart 3GFIS Model Bond Portfolio Q1/2020 Spread Product Performance Attribution By Sector The most significant movers were: Biggest Outperformers Overweight US investment grade industrials (+22bps) Underweight euro area investment grade corporate bonds (+16bps) Underweight EM USD-denominated corporates (+12bps) Overweight US investment grade financials (+10bps) Underweight Japanese government bonds with maturity greater than 10 years (+8bps) Biggest Underperformers Underweight US government bonds with maturity greater than 10 years (-36bps) Underweight US government bonds with maturity of 3-5 years (-17bps) Underweight US government bonds with maturity of 5-7 years (-16bps) Underweight US government bonds with maturity of 1-3 years (-13bps) Underweight US government bonds with maturity of 7-10 years (-12bps) Chart 4 presents the ranked benchmark index returns of the individual countries and spread product sectors in the GFIS model bond portfolio for Q1/2020. The returns are hedged into US dollars (we do not take active currency risk in this portfolio) and are adjusted to reflect duration differences between each country/sector and the overall custom benchmark index for the model portfolio. We have also color-coded the bars in each chart to reflect our recommended investment stance for each market during Q1/2020 (red for underweight, dark green for overweight, gray for neutral).4 Ideally, we would look to see more green bars on the left side of the chart where market returns are highest, and more red bars on the right side of the chart were returns are lowest. Predictably, government debt performed the best in Q1/2020 as global bond yields fell and monetary authorities raced to support economies and inject liquidity. UK, US, and Canadian government debt delivered the best returns this quarter. While we started the year neutral or underweight those assets, we moved to an overweight allocation in March, which helped salvage some returns. Also worth noting is that Australian government debt, where we have maintained a structural overweight stance, was one of the top performing markets during the first quarter. The deepest losses were sustained in EM USD-denominated sovereign and corporate debt, and euro area high-yield. Although it seems a distant memory at this point, we did start this quarter on an optimistic note and expected spreads on these products to narrow as global growth picked up. However, we were able to shield our portfolio against excessive losses in these products by moving to an underweight stance in March once the severity of the COVID-19 global economic shock become apparent. Bottom Line: Our recommended model bond portfolio underperformed the custom benchmark index during the first quarter of the year. The underperformance was concentrated in government bonds, which rallied on the back of the global pandemic. However, the portfolio outperformed the benchmark in spread products, where the combination of massive fiscal/monetary easing and direct central bank asset purchases have brought credit spreads under control. Future Drivers Of Portfolio Returns Typically, in these quarterly performance reviews of our model bond portfolio, we attempt to make return forecasts for the portfolio based off scenario analysis and quantitative predictions of various fixed income asset classes. In the current unprecedented economic and financial market environment, however, we are reluctant to rely on model coefficients and correlations to estimate expected returns. Instead, in this report, we will focus on discussing the logic behind our current model portfolio positioning and how those allocations should expect to contribute to the overall portfolio performance over the next six months. Looking ahead, the performance of the model bond portfolio will be driven by three main factors: Our recommended overweight stance on US spread product that is backstopped by the Fed—US investment grade corporates, Agency CMBS, and Ba-rated high-yield; Our recommended overweight stance on relatively higher-yielding sovereigns like the US and Italy; Our recommended underweight stance on EM USD-denominated corporates and sovereigns, where the specter of defaults and liquidity crunches looms. In terms of specific weightings in the GFIS model bond portfolio, we have moderated our stance on global spread product since our previous review of the portfolio.5 While the monetary liquidity backdrop is highly bullish, with central banks aggressively buying bonds and keeping policy rates at the zero lower bound, it is still unclear if and when economies will be able to successfully reopen and put an end to the COVID-19 recession. We are now recommending only a small relative overweight of two percentage points for spread product versus the benchmark index (Chart 5), leaving room to add more should the news on the virus and global growth take a turn for the better. Chart 5Overall Portfolio Allocation: Slightly Overweight Credit We also remain neutral on overall portfolio duration exposure. Our Global Duration Indicator, which contains growth data like our global leading economic indicator and the global ZEW expectations index, has plunged and is signaling bond yields will stay depressed over the next six months (Chart 6). Yet at the same time, yields in most countries have been unable to hit new lows after the panic-driven bond rally in late February and early March, even as global oil prices have collapsed and inflation expectations remain depressed, suggesting that yields already discount a lot of bad news. Chart 6Our Duration Indicator Is Signaling Government Bond Yields Will Stay Low We do not see much value in taking a big directional bet on yields through overall duration exposure at the present time. We also think it is far too early to contemplate reducing duration – even with many global equity and credit markets having rallied sharply off the lows – given the persistent uncertainty over the timing of a recovery in global growth. Thus, we are maintaining a neutral overall portfolio exposure (Chart 7). Chart 7Overall Portfolio Duration: At Benchmark Chart 8Country Allocation: Favor Those With Higher Betas To Global Yields Within the government bond side of the model bond portfolio, we recommend focusing more on country allocation to generate outperformance. That means concentrating exposures in relatively higher yielding markets like the US, Canada and peripheral Europe while maintaining underweights in core Europe and Japan, where yields have relatively little room to fall. That allocation also lines up with the sensitivity of each market to changes in the overall level of global bond yields, i.e. the yield beta (Chart 8). By favoring those higher beta markets, the model portfolio would still benefit from a renewed leg down in global bond yields, while still maintaining an overall neutral level of portfolio duration. By favoring those higher beta markets, the model portfolio would still benefit from a renewed leg down in global bond yields. Turning to spread product allocations, we recommend focusing more on policymaker responses to the COVID-19 recession rather than the downturn itself. Yes, the earlier widening of global high-yield spreads is forecasting a sharp plunge in global growth and rising unemployment rates (Chart 9, top panel). At the same time, the now double-digit year-over-year growth in global central bank balance sheets - a measure that has led global high-yield bond excess returns by one year in the years after the Global Financial Crisis (bottom panel) – is pointing to a period of improved global corporate bond market performance over the next 6-12 months. Chart 9Global Corporate Performance Should Benefit From Global QE In other words, we are focusing on global QE rather than global recession, while maintaining a modest recommended overall weighting on global spread product. Chart 10Credit Allocation: Buy What The Central Banks Are Buying That allocation could be larger, but we suggest picking the lowest hanging fruit in the credit universe rather than going for the highest beta credit markets. That means concentrating spread product allocations on the parts of global credit markets where central banks are directly buying (Chart 10). We are focusing on global QE rather than global recession, while maintaining a modest recommended overall weighting on global spread product. In the US, that means overweighting US investment grade corporate bonds (particularly those with maturities of less than five years), US Ba-rated high-yield that the Fed is now allowed to hold in its corporate bond buying program, and euro area investment grade corporate bonds (excluding bank debt) that the ECB is also buying in its increased bond purchase programs. Chart 11Stay Underweight EM Credit One new change we are making this week is upgrading US agency commercial mortgage-backed securities (CMBS) to overweight, funding by a reduction in US agency residential mortgage-backed securities (MBS) to underweight. While the Fed is still buying agency MBS debt in its new QE programs, MBS spreads have already compressed substantially and are now exposed to potential refinancing risk as eligible US homeowners look to take advantage of the recent plunge in US mortgage rates. We prefer to increase the allocation to agency CMBS, which the Fed can now buy within its expanded QE programs and which offer more attractive spreads than agency MBS (middle panel). One part of the spread product universe where we continue to recommend an underweight stance is USD-denominated EM corporate and sovereign debt. The time to buy those markets will be when the US dollar has clearly peaked and global growth has clearly bottomed. Neither of those conditions is in place now, with the price momentum in both the EM currency index and the trade-weighted US dollar still tilted towards a stronger greenback. That backdrop is unlikely to change in the next few months, suggesting a defensive stance on EM credit is still warranted (Chart 11). A defensive stance on EM credit is still warranted. Model bond portfolio yield and tracking error considerations The selective global government bond and credit portfolio we have just outlined does not come without a cost. While we are currently overweight countries with higher-yielding government bonds, our underweight positions on riskier spread product like EM debt and lower-rated US junk bonds bring the yield of our model portfolio down to 1.8%, –15bps below the yield of the model portfolio benchmark index (Chart 12). We feel that is an acceptable level of “negative carry” given the still heightened levels of uncertainty over global growth. This leads us to focus more on relative value between countries and sectors to generate outperformance that we expect to offset the impact of underweighting the highest yielding credit markets. Chart 12Portfolio Yield: Moderately Below Benchmark Chart 13Portfolio Volatility: Currently High, But Expected To Fall Finally, turning to the risk budget of the model portfolio, we are aiming for a “moderate” overall tracking error, or the gap between the portfolio’s volatility and that of the benchmark index. However, given our pro-risk positioning in the first two months of 2020, combined with the extreme volatility in markets during the first quarter, the realized portfolio tracking error blew through our self-imposed ceiling of 100bps (Chart 13). We expect this to settle down in the coming months as the recent changes in our positioning start to be reflected in the trailing volatility of our portfolio. Bottom Line: Given the ongoing uncertainty over when the COVID-19 pandemic and economy-crushing global lockdown will end, we are sticking close to benchmark on overall duration and spread product exposure. Instead, we recommend focusing more on country allocation and spread product relative value to generate outperformance, favoring markets where there is direct involvement from central banks.   Robert Robis, CFA Chief Fixed Income Strategist rrobis@bcaresearch.com Shakti Sharma Research Associate shaktis@bcaresearch.com Footnotes 1 The GFIS model bond portfolio custom benchmark index is the Bloomberg Barclays Global Aggregate Index, but with allocations to global high-yield corporate debt replacing very high quality spread product (i.e. AA-rated). We believe this to be more indicative of the typical internal benchmark used by global multi-sector fixed income managers. 2 Please see BCA Global Fixed Income Strategy Weekly Report, "What Bond Investors Should Do After The 'Great Correction'", dated March 3 2020, available at gfis.bcaresearch.com. 3 Please see BCA Global Fixed Income Strategy Weekly Report, "The Train Is Empty", dated March 10, 2020, available at gfis.bcaresearch.com. 4 Note that sectors where we made changes to our recommended weightings during Q1/2020 will have multiple colors in the respective bars in Chart 4. 5 Please see BCA Research Global Fixed Income Strategy Weekly Report, "2019 GFIS Model Bond Portfolio Performance Review: Praise Credit & Blame Duration", dated January 14, 2020, available at gfis.bcaresearch.com. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns

WTI crude oil delivered to Cushing in May 2020 is trading below $0.00/bbl as this note is typed, and falling fast (Chart 1). This is an historical print. WTI for June delivery is trading at ~ $22.00/bbl. What we are observing is the last of the May 2020 futures longs getting out of their positions before the contract goes off the board tomorrow. People tend to forget that the so-called WTI "paper" market – i.e., futures – is actually a market in which contracts for physical delivery at Cushing, OK, actually change hands. If you are left long when the contract for May delivery stop trading – tomorrow at the close of business – you will have to stand for physical delivery. If you are short, you must deliver physical barrels. These are binding, legal contracts. Chart 1Crude Oil In Extremis Liquidity is extremely low, as most everyone with any exposure in May 2020 WTI is out of their position. Storage is scarce. Anyone with storage can name their price – literally – as most of the storage in Cushing obviously is close to being full. Refiners are drastically reducing runs, and refined products are sitting in storage, as the US remains in shut-down. What we are observing is the physical market pricing a near-complete lack of storage in Cushing. Physical-market participants also are aware there’s 12mm barrels of crude from Saudi Arabia arriving in the US Gulf, following KSA’s chartering of 19 very large crude carriers (VLCCs) in March, six of which are bound for the US Gulf. There is no place to store the crude that’s going to be arriving in the Gulf and that’s backed up in Cushing. This situation should begin to reverse on May 1, as the COVID-19 demand destruction levels off and the global economy starts to return to normal. On the supply side, the OPEC 2.0 producers begin cutting production next month, and highly levered unhedged producers will be forced to shut in production and file for bankruptcy. The lower prices go in the short term – and the more damage this causes on the production side – the sharper the recovery later this year.   Robert P. Ryan Chief Commodity & Energy Strategist rryan@bcaresearch.com  

Highlights With interest rates near zero around the world, balance sheet policy will become an important driver for currencies. Should the global economy need another dose of monetary stimulus, yield curve control (YCC) and direct financing of governments will increasingly be the policy tool of choice. This will lead to more bloated central bank balance sheets. The dollar will initially rally, as it did in 2008, since the conditions needed for even more central bank stimulus is a deeper than perceived contraction in global growth. Once the dust settles, the global economy will be awash with liquidity, which will light a fire under procyclical currencies, akin to 2009. An important barometer will be the velocity of money. We continue to recommend a barbell strategy for now – a basket of the cheapest currencies together with some save havens. Shorting EUR/JPY is a good insurance policy. Feature Quantitative easing affects the economy and currency markets through three major channels: By lowering interbank spreads and boosting commercial bank excess reserves, the credit channel is widened. Purchases of securities along the yield curve also lowers long-term borrowing costs for economic agents. Central bank purchases of government securities crowds out private concerns. As these funds are redirected out the risk curve, this loosens financial conditions. This is the portfolio balance effect.  Part of the flows from portfolio rebalancing leave the country, especially if interest rates are too low for bond investors. This lowers the exchange rate, boosting imported inflation, which further lowers domestic real rates. During isolated crises, the QE exchange rate channel works like a charm. Chart I-1 shows that for most of the post-2008 period when the euro area was engulfed in a crisis, the EUR/USD exchange rate oscillated with the relative balance sheet impulse1 between the Federal Reserve and the European Central Bank. The story in Japan was similar after the Fukushima crisis in 2011 and the subsequent adoption of Abenomics. In short, the more aggressive a central bank is with quantitative easing, the bigger the impact on currency markets. Chart I-1QE And EUR/USD The dollar seems to be following this narrative. Ever since hitting a March 19 high near 103, the DXY index has been in a broad-based consolidation phase, currently trading around 100. Swap lines are running full throttle as foreign central banks have tapped into the Fed’s liquidity provisions (Chart I-2). Despite this, our contention is that the dollar could still retest its recent highs before ultimately cresting. Chart I-2Improving Liquidity When V Is Collapsing Everywhere Currencies move on relative fundamentals. So, if one country is in a crisis and precipitously drops interest rates, then its currency should collapse relative to its trading partners. However, when interest rates are collectively plummeting around the world, they lose their relative anchor for currencies. In such times, correlations shift to 1, volatility spikes and valuations are thrown out the window (Chart I-3). As a reserve currency, the dollar benefits. When interest rates are collectively plummeting around the world, they lose their relative anchor for currencies. Many countries have announced QE in one form or another, and their balance sheets are set to explode higher, led by the Fed (Chart I-4). But akin to 2008, the dollar can still tick higher as markets remain in the belly of a liquidity trap. In these situations, technical indicators can help. But more often than not, it is usually instructive to sit back and gauge the signal from the velocity of money (or V), especially after interest rates have collapsed to zero. Chart I-3Life At Zero Chart I-4The QE Club V can be summarized by Irving Fisher’s classical equation MV=PQ, where P is the price level in the economy, Q is output, and M is the money supply. In other words, V=PQ/M. A few observations are clear from the equation: If output or PQ is collapsing, then the only way the authorities can stabilize demand is by driving up the money supply. It is an open debate as to whether V is stable or not. Over the last decade or so, V has been collapsing (Chart I-5). Meanwhile, the fact there has been no correlation between prices and money supply suggests that V may have a life of its own. Finally, as the collapse in V accelerates, there is a window in which policymakers can be behind the curve. In this window, zero rates and QE could still be insufficient to stem the decline in output.  Chart I-5A Collapse Of V Everywhere It becomes clear that observing V can provide valuable information for the economy and currency markets. A rising V means that central bank liquidity injections are being turned over into real economic activity, either through rising prices, output or a combination of the two. In a sense, a turnaround in V is a signal that the precautionary demand for money is falling. This is usually synonymous with higher interest rates. Chart I-6Watch The Yield Curve In a general sense, V can be viewed as the interest rate required by the underlying economy (the neutral rate), since it is measured using economic variables. Once economic agents start to increase the turnover of money in the system as activity improves, it is an endogenous sign that the economy has escaped a liquidity trap and can handle higher rates. Over the longer term, exchange rates should fluctuate along with the ebb and flow of V, or the relative neutral rate of interest between two countries. Herein lies the problem. The velocity of money is observed ex-post, meaning it is not very useful as a forecasting tool. We already know from the drop in interest rates that the velocity of money is collapsing everywhere. Therefore, how can one gauge for tentative signs of a reversal? One method is to look at financial variables. The yield curve is one example. Whenever the fed funds target rate falls below the neutral rate of interest in the US, the yield curve usually steepens (Chart I-6). A steepening yield curve usually signifies borrowing costs are well below the structural growth rate of the economy. As such, banks do well in this environment. Another barometer, and our favorite, is the ratio of industrial commodities to financial ones, or more precisely, the gold-to-silver ratio. A steepening yield curve usually signifies borrowing costs are well below the structural growth rate of the economy.  Bottom Line: With interest rates near zero in the developed world, proxies for the velocity of money become important in gauging when we exit the belly of the liquidity trap. Gold Versus Silver Chart I-7Watch The Gold/Silver Ratio The gold/silver ratio (GSR) provides important information on the battleground between easing financial conditions and a pick-up in economic (or manufacturing) activity. The GSR tends to rally ahead of an economic slowdown, but then peaks when growth is still weak but financial conditions are easy enough to lift the economy out of a liquidity trap. Of course, a key assumption is that the global economy fends off a deeper recession, which would otherwise sustain a high and rising GSR. Just like gold, silver benefits from low interest rates, plentiful liquidity, and the incentive for fiat money debasement. However, today, silver has much more industrial uses than gold, allowing it to sniff out any shift in the economic landscape. Silver fabrication demand benefits from new industries such as solar and a flourishing “cloud” orbit that are capturing the new manufacturing landscape. As a result, the dollar tends to be positively correlated with the gold/silver ratio (Chart I-7). The gold/silver ratio has been a good confirming indicator on when to rebuy procyclical currencies. The gold/silver ratio (GSR) broke above major overhead resistance at 100 just as the dollar liquidity crunch was intensifying and is now showing tentative signs of a reversal. The history of these reversals is that they tend to be powerful but extremely volatile. More importantly, the ratio has been a good confirming indicator on when to rebuy procyclical currencies (Chart I-8). Given that the ratio is close to its highest level in 120 years, the odds are that the forces of mean reversion will continue to push it lower. A break in the ratio below 100 will be a positive development (Chart I-9). Chart I-8Tentative Signs Of Improvement Chart I-9Watch The 100 Level The ratio of the velocity of money between the US and China has tended to track both the gold/silver ratio and the dollar closely. Given the epicenter of the crisis was China, a falling GSR will also signify Beijing has been successful in rekindling animal spirits, as the economy reopens for business. Bottom Line: A falling GSR will be consistent with a peak in the dollar and upside for pro-cyclical currencies. Housekeeping We continue to recommend a barbell strategy for now – a basket of the cheapest currencies together with some save havens. Investors can seek such protection by selling EUR/JPY. EUR/JPY should continue to sell off in the short term. First, the yen tends to do well when volatility is high, as is the case now. Second, given that Japan is closer to the Asean economies who were first hit with Covid-19, it will probably see activity recover a little faster relative to the West. In addition, real rates are higher in Japan relative to Europe. Lastly, consistent with our thesis above, place a sell-stop on GSR at 100.   Chester Ntonifor Foreign Exchange Strategist chestern@bcaresearch.com Footnotes 1  Given that GDP is a flow concept, and central bank balance sheets are a stock concept, the impulse is calculated as follows: 1) Take the 12-month change in the balance sheet, to convert it to a flow. 2) Show the 12-month change of this flow as a % of GDP to gauge the impulse of stimulus.  Currencies U.S. Dollar Chart II-1USD Technicals 1 Chart II-2USD Technicals 2 Recent data in the US have been negative: Headline inflation fell sharply from 2.3% to 1.5% year-on-year in March. Core inflation dropped by 0.3% to 2.1%. Export and import prices both contracted by 3.6% and 4.1% year-on-year, respectively in March. NY Empire State manufacturing index plunged from -21.5 to -78.2 in April. Retail sales slumped by 8.7% month-on-month in March, down from -0.4% the previous month. Initial jobless claims increased by 5,245K last week, above the expectations of 5,105K. The DXY index increased by 0.3% this week on the back of safe-haven demand. The break above the psychological overhead resistance at 100 means we can begin to see a flurry of buy orders, as traders move to hedge positions. The Fed’s Beige Book reported sharp contraction in Q1, which should carry on into Q2.  Leisure, hospitality and retail were the hardest-hit industries. Report Links: Capitulation? - April 3, 2020 The Dollar Funding Crisis - March 19, 2020 Are Competitive Devaluations Next? - March 6, 2020 The Euro Chart II-3EUR Technicals 1 Chart II-4EUR Technicals 2 Recent data in the euro area have been negative: March consumer prices were released across the euro area: the headline inflation rate was stable at 1.3% year-on-year in Germany and 0.1% in Italy. It increased from 0.7% to 0.8% in France while falling from 0.1% to 0 in Spain. Industrial production contracted by 1.9% year-on-year in February. The euro fell by 0.5% against the US dollar this week. As the anti-dollar and a global growth barometer, trends in the euro will primarily be dictated by what happens to the greenback. The IMF April 2020 World Economic Outlook forecasted global output to contract by 3% in 2020. Moreover, it predicted the Euro area to be hit the hardest, with output shrinking by 7.5% this year, in comparison to 5.9% in the US, 6.5% in the UK, and 5.2% in Japan. Report Links: On The DXY Breakout, Euro, And Swiss Franc - February 21, 2020 Updating Our Balance Of Payments Monitor - November 29, 2019 On Money Velocity, EUR/USD And Silver - October 11, 2019 Japanese Yen Chart II-5JPY Technicals 1 Chart II-6JPY Technicals 2 Recent data in Japan have been negative: Machine tool orders kept contracting by 41% year-on-year in March, worse than the 30% decline in February. Money supply (M2) increased by 3.3% year-on-year in March, up from 3% the previous month. The Japanese yen rose by 1% against the US dollar this week. The BoJ Governor Haruhiko Kuroda said that the central bank will not hesitate to further ease monetary policy depending on COVID-19 developments. Possible solutions to support corporate funding include more purchases of corporate bonds and commercial paper, as well as easing collateral standards. More importantly, the government unveiled a 108 trillion yen fiscal package, amounting to 20% of GDP. Report Links: The Near-Term Bull Case For The Dollar - February 28, 2020 Building A Protector Currency Portfolio - February 7, 2020 Currency Market Signals From Gold, Equities And Flows - January 31, 2020 British Pound Chart II-7GBP Technicals 1 Chart II-8GBP Technicals 2 Recent data in the UK have been negative: Retail sales contracted by 3.5% year-on-year in March. The British pound has been flat against the US dollar this week. The BoE’s Credit Conditions Survey showed growing concerns from banks about the outlook during the COVID-19 health crisis. The BoE said that “Overall availability of credit to the corporate sector was unchanged for all business sizes in Q1, but was expected to increase for all business sizes in Q2.” British banks now expect to lend more to businesses in the next three months, more so than to the household sector. Report Links: Updating Our Balance Of Payments Monitor - November 29, 2019 A Few Trade Ideas - Sept. 27, 2019 United Kingdom: Cyclical Slowdown Or Structural Malaise? - Sept. 20, 2019 Australian Dollar Chart II-9AUD Technicals 1 Chart II-10AUD Technicals 2 Recent data in Australia have been negative: NAB business confidence crashed from -2 to -66 in March. Business conditions also dropped from 2 to -21. Westpac consumer confidence plunged from -3.8 to -17.7 in April. The unemployment rate inched up from 5.1% to 5.2% in March, lower than the expected 5.5%. 6K jobs were created in March, down from 26K the previous month, while well above the consensus of 40K job loss. However, the Australian Bureau of Statistics pointed out that the monthly data mostly only covers the first two weeks of March. AUD/USD fell by 0.6% this week. With Australian GDP now forecasted to shrink by 7% in Q2, and another 1% in Q3, the Australian economy is destined for its first recession in three decades. Prime Minister Scott Morrison has pledged A$130 billion subsidy for employers to prevent further layoffs. Report Links: On AUD And CNY - January 17, 2020 Updating Our Balance Of Payments Monitor - November 29, 2019 A Contrarian View On The Australian Dollar - May 24, 2019 New Zealand Dollar Chart II-11NZD Technicals 1 Chart II-12NZD Technicals 2 Recent data in New Zealand have been negative: Visitor arrivals declined by 11% year-on-year in February, down from an increase of 3% the previous month. This trend will likely worsen in March. House prices increased by 0.7% month-on-month in March, down from the last reading of 3.1%. The New Zealand dollar fell by 2% against the US dollar this week. On Thursday, the RBNZ Governor Adrian Orr said that the New Zealand financial institutions were strong and in a position to be part of the solution, while acknowledging that the soaring unemployment and high mortgage debts could pose a big challenge to the economy. Moreover, he said that the current central bank interventions to mitigate COVID-19 damage are just the beginning, and that negative interest rates are not off-the-table. Report Links: Updating Our Balance Of Payments Monitor - November 29, 2019 Place A Limit Sell On DXY At 100 - November 15, 2019 USD/CNY And Market Turbulence - August 9, 2019 Canadian Dollar Chart II-13CAD Technicals 1 Chart II-14CAD Technicals 2 Recent data in Canada have been negative: Existing home sales slumped 14.3% month-on-month in March, down from 5.9% the prior month. Bloomberg Nanos confidence kept falling to 38.7 from 42.7 for the week ended April 10. The Canadian dollar kept falling by 1.2% against the US dollar this week. On Wednesday, the BoC kept interest rates steady at 0.25%, after having lowered it by 150 bps over the past three weeks. Moreover, the BoC has announced additional measures to weather the crisis, including new purchases of provincial bonds by up to C$50 billion and corporate bonds by up to C$10 billion. The Bank has also enhanced its term repo facility to permit funding for up to 24 months. Report Links: A New Paradigm For Petrocurrencies - April 10, 2020 The Loonie: Upside Versus The Dollar, But Downside At The Crosses Updating Our Balance Of Payments Monitor - November 29, 2019 Swiss Franc Chart II-15CHF Technicals 1 Chart II-16CHF Technicals 2 Recent data in Switzerland have been mixed: Total sight deposits increased to CHF 634 billion for the week ended April 10, up from the previous reading of CHF 627 billion. Producer prices fell by 2.7% year-on-year in March, lower than the expected -2.5%. The Swiss franc fell by 0.3% against the US dollar this week, amid broad US dollar strength. While USD/CHF remains under parity, investors seeking cover from US dollar strength did not find shelter in the franc. Switzerland’s Federal Council has offered emergency loans to almost 80,000 small businesses, far more than other European countries. The most recent IMF World Economic Outlook is now forecasting the Swiss GDP to slump 6% in 2020, followed by a rebound of 3.8% next year. This compares favorably with the slated euro area contraction of 7.5% this year. Report Links: On The DXY Breakout, Euro, And Swiss Franc - February 21, 2020 Currency Market Signals From Gold, Equities And Flows - January 31, 2020 Portfolio Tweaks Before The Chinese New Year - January 24, 2020 Norwegian Krone Chart II-17NOK Technicals 1 Chart II-18NOK Technicals 2 Recent data in Norway have been negative: The trade surplus tumbled to NOK 2.5 billion in March from NOK 18.5 billion the same month last year. After having rebounded by 15% from its March lows, the Norwegian krone fell again by 3% against the US dollar this week, making it the worst-performing G10 currency. The trading pattern of the Norwegian krone in recent weeks has mirrored that of emerging market currencies, warranting intervention by the central bank. OPEC has agreed over the weekend to cut production by 9.7 million barrels per day in May and June, which represents approximately 10% of global supply. Despite the production cut, oil prices slipped this week over growing COVID-19 demand fears and supply concerns.  Report Links: A New Paradigm For Petrocurrencies - April 10, 2020 Building A Protector Currency Portfolio - February 7, 2020 On Oil, Growth And The Dollar - January 10, 2020 Swedish Krona Chart II-19SEK Technicals 1 Chart II-20SEK Technicals 2 Recent data in Sweden have been negative: Headline inflation declined from 1% to 0.6% year-on-year in March, while in line with expectations, this is the lowest inflation rate since May 2016. The Swedish krona fell by 0.8% against the US dollar this week. Sweden’s COVID-19 death toll just passed 1000 this week. While its fatality rate is still well below that in Italy and the UK, it’s much higher than its Scandinavian neighbors, which adds more criticism surrounding Sweden’s decision to ignore the lockdown measures imposed elsewhere. Prime Minister Stefan Lofven has said that stricter measures may be needed going forward, which will pose more threat to the economy. Report Links: Updating Our Balance Of Payments Monitor - November 29, 2019 Where To Next For The US Dollar? - June 7, 2019 Balance Of Payments Across The G10 - February 15, 2019 Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Limit Orders Closed Trades

Highlights The May-June WTI spread settled earlier in the week at a $7.29/bbl contango, the widest level since February 2009 during the GFC. This reflects an extraordinarily tight storage market in the US Gulf and Midcontinent. WTI for May delivery breached $20/bbl Wednesday, touching a 18-year low (Chart of the Week). Output cuts starting in May agreed by OPEC 2.0 over the weekend will remove 6.1mm b/d on average for May-December vs. 1Q20 levels. Additional losses outside OPEC 2.0 will reduce global supply 4.5mm b/d y/y. We raised our estimate of COVID-19-induced demand destruction in 2Q20 to 14.6mm b/d from 12.1mm b/d. We expect demand to fall ~ 8mm b/d in 2020 vs. our previous estimate of 4mm b/d, as global fiscal and monetary stimulus revives growth in 2H20. We expect 2021 demand to rise 7.7mm b/d, averaging 100.6mm b/d. In our updated forecast, Brent is expected to average $39/bbl – slightly above our earlier $35/bbl estimate – as incremental supply losses offset lower demand. Our Brent forecast for 2021 remains ~ $65/bbl. WTI will trade $2-$4/bbl lower. Feature   April is the cruellest month … - T.S. Eliot, The Waste Land1 Global oil logistical capacity will be tested in extremis this month, as cargoes laden with oil arrive in ports that have no need for ready supply and few storage options to hold the crude until its needed. This is filling traditional global storage, inland pipelines and ships, which, as typically occurs in extremis, are used as floating storage (Chart 2). Chart of the WeekCrude Oil In Extremis Chart 2Floating Storage Volumes Soar As Terminals and Pipelines Fill The most extreme testing of global logistics likely will occur in this cruel month, to borrow once again from the laureate, as markets are forced to absorb the production surge from OPEC 2.0 – mostly from KSA and its allies. Repeated excursions to and through $10/bbl in physical markets, as already have been registered in Canada and US shale basins, can be expected this month (Chart 3). Indeed, we expect price pressures to reduce US oil ouput – mostly in the shales – by 1.5mm b/d or more.2 Beginning in May, OPEC 2.0 will begin cutting production, with its putative leaders – KSA and Russia – accounting for 1.3mm b/d and 2.1mm b/d, respectively, of the coalition’s total pledged cuts of 7.6mm b/d vs. 1Q20 production levels. (Based on OPEC 2.0’s October 1, 2018, reference level – except for KSA and Russia, both of which are cutting from a nominal 11mm b/d level – the cuts amount to 9.7mm b/d for May-June, and 7.7mm b/d for 2H20).3 Chart 3Cash Markets Pressing /bbl While the official OPEC communique notes the coalition also will implement a 6mm b/d cut from January 2021 to April 2022, we doubt this will be necessary. The coalition meets again in June, and KSA’s Energy Minister, Prince Abdulaziz bin Salman, said the Kingdom is prepared to increase its cuts if needed.4 Based on historical experience, we expect KSA to over-deliver on cuts, and for Russia to gradually meet its pledged volumes. We are haircutting other states’ production cuts based on historical observation, and are projecting cuts of ~ 75% for 2020 and 70% for 2021 compliance (Table 1). Additional losses outside OPEC 2.0 will reduce global supply 4.5mm b/d y/y on average. Table 1BCA Global Oil Supply - Demand Balances (MMb/d, Base Case Balances) Lowering Our Demand Forecast The COVID-19 pandemic, which, owing to the global lockdowns, has literally shut the majority of the world’s economies down, and produced a global GDP contraction far greater than the recession the Global Financial Crisis (GFC) produced in 2008. Our estimate of COVID-19-induced demand destruction in 2Q20 is now 14.6mm b/d, up from 12.1mm b/d. For all of 2020, we expect demand to fall 7.9mm b/d in our base case vs. our previous estimate of 4mm b/d. These estimates are highly conditional on the trajectory of the containment of the COVID-19 pandemic, which, owing to the global lockdowns, has literally shut the majority of the world’s economies down, and produced a global real GDP contraction far greater than the recession the Global Financial Crisis (GFC) produced in 2008 (Chart 4). Nonetheless, we believe the massive global fiscal and monetary stimulus now being deployed will restore growth beginning in 2H20 and carrying through to expect 2021 demand to rise 7.7mm b/d, and to average 100.6mm b/d (Chart 5). Chart 4COVID-19 Real GDP Hits Dwarf 2009 GFC Recession Chart 5Massive Stimulus Will Revive Demand We assume OPEC 2.0 will be required to raise production in 2021 to keep prices from accelerating too fast. While our demand expectations are slightly weaker, in our modeling we see supply being curtailed sufficiently to produce a physical deficit beginning in 3Q20 (Chart 6). Our supply-demand trajectory projects a peak in OECD storage of 3.7 billion barrels in May, after which inventories fall sharply (Chart 7). Indeed, we assume OPEC 2.0 will be required to raise production in 2021 to keep prices from accelerating too fast. Chart 6Oil Supply-Demand Balances Point To Physical Deficit By 4Q20 Chart 7Inventories Spike, Then Draw Sharply Two-Way Price Risk Our forecast assumes the COVID-19 pandemic is contained and that fiscal and monetary stimulus re-energizes global growth. In our updated forecast, we see Brent averaging $39/bbl this year – slightly above our earlier $35/bbl estimate – as incremental supply losses offset lower demand. Next year, our expectation remains ~ $65/bbl. WTI will trade $2-$4/bbl lower (Chart 8). As noted above, our forecast assumes the COVID-19 pandemic is contained and that fiscal and monetary stimulus re-energizes global growth. However, as the pandemic spreads deeper into less-developed EM economies without robust public-health infrastructures, or social security systems providing a basic income in the event of job loss due to recessions the risk of widespread infection rises significantly.5 Chart 8Stronger Price Recovery Expected No amount of fiscal or monetary stimulus will allow an economy to weather such a storm. This is a clear and present danger to the global recovery and to a recovery in commodities generally, oil in particular. Investment Implications Our expectation for prices is reflected in Chart 8, premised, again, on COVID-19 being contained and fiscal and monetary stimulus reviving global growth. We are retaining our long exposure to the market, expecting the supply and demand policies set in motion will be effective. However, there is no way of accurately assessing the likelihood of an uncontained pandemic hitting EM markets, and, from there, re-entering other markets that presumably have dealt with the coronavirus.   Robert P. Ryan Chief Commodity & Energy Strategist rryan@bcaresearch.com Hugo Bélanger Associate Editor Commodity & Energy Strategy HugoB@bcaresearch.com Fernando Crupi Research Associate Commodity & Energy Strategy FernandoC@bcaresearch.com   Commodities Round-Up Energy: Overweight Global oil inventories will be filled rapidly in 2Q20 as major economies remain in lockdowns. High-cost Canadian oil sand producers will be severely hit as their output is landlocked, distant from key demand centers, and facing storage and pipeline infrastructure constraints. More than 500k b/d of production will be shut-in in April and May as crude-by-rail collapses, local and US refinery runs are reduced, and Alberta’s limited inventory moves closer to its maximum capacity – estimated at ~ 90mm bbls (Chart 9). Separately, a €20/MT stop to our EUA futures recommendation was triggered on April 14, 2020, leaving us with a 14.2% gain. Base Metals: Neutral China’s iron ore imports fell to 85.9mm MT in March, a decline 0.6% y/y, after growing 1.5% in January and February. This came as steel mills arranged maintenance or slowed production to deal with record-high inventories after the COVID-19 pandemic curtailed construction and industrial activities. However, in the long run the outlook for iron ore and steel appears to be improving. Mysteel data for China indicates utilization rates at blast furnaces have been rising for four weeks and are now at ~ 79%. Chinese Steel exports also picked up in March, up 2.4% from a year earlier, but are now facing new anti-dumping duties on stainless steel in the EU. Precious Metals: Neutral Gold continues to trade above $1700/oz – reaching its highest level since October 2012 – supported by easing fiscal and monetary policy in the US and fear of a prolonged economic slowdown. A lower US dollar – the DXY index fell back below 100 last week – and depressed real rates supported gold’s move higher (Chart 10). Dollar debasement risks and negative real rates increase gold’s attractiveness as a safe asset. Ags/Softs:  Underweight China’s March soybean imports came in at 4.28mm MT y/y, the lowest level since February 2015. Rains in Brazil delayed that country’s exports to China. The fall also reflects a 6% contraction in soymeal (i.e., the “crush”) consumed by livestock – as the African Swine Fever slashed China’s pig herd by more than 40% and shortages forced operations to grind to a halt. Similarly, meat suppliers in the US and Canada are closing plants temporarily due to COVID-19 cases among employees. As a result, Chicago soybean futures traded 0.8% lower on Tuesday. Chart 9Limited Storage Capacity In Alberta Chart 10Lower US Rates And Dollar Support Gold   Footnotes 1     The Waste Land, by T.S. Eliot, originally was published in 1922 in The Criterion, which was founded and edited by Eliot. 2     The Texas Railroad Commission held day-long hearings April 14 to consider returning to its historic roll as an oil-production regulator on Tuesday.  As we went to press no ruling on the petition to revive pro-rationing was delivered.  The Oklahoma Corporation Commission will hold similar hearings next month.  Please see Texas and Oklahoma weigh production quotas for oil published by washingtonpost.com April 13, 2020. 3    Please see The 10th (Extraordinary) OPEC and non-OPEC Ministerial Meeting concludes, posted by OPEC April 12, 2020. 4    Please see Saudi energy minister leaves door open for more cuts in June, published by worldoil.com April 13, 2020. 5    Please see National governments have gone big. The IMF and World Bank need to do the same. This op-ed by Gordon Brown and Larry Summers, published by washingtonpost.com April 14, 2020, lays out some of the issues that elevate downside risk to a COVID-19 recovery.   Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Trade Recommendation Performance In 2019 Q4 Commodity Prices and Plays Reference Table   Trades Closed in 2020 Summary of Closed Trades

Special Report

Highlights As government bond yields have fallen to zero or below, many of our clients have asked us how to obtain income from other asset classes. In this report we analyze three income opportunities in the equity market: high-dividend yield stocks, dividend growth stocks, and preferred shares. High-dividend yield stocks have a large style bias to the value factor. Thus, investors who wish to invest in high-dividend yield stocks might be better served by investing in dividend plays in the non-value universe. Dividend growth stocks – such as the ones in the S&P 500 Dividend Aristocrats index – are historically less likely to cut their dividends, thanks to their defensive nature and corporate incentives. The Aristocrats should continue increasing dividends during this crisis. Our screening points to the following as the most attractive: ExxonMobil, Franklin Resources, 3M, Procter & Gamble, AT&T, and Genuine Parts. We would not buy US preferred shares, given that they are heavily weighted to Financials, a sector that will do poorly in an environment of low interest rates. Feature As the crisis caused by COVID-19 has battered risk assets, many of our clients have asked us how to obtain income in this current environment. In the past, investors could rely on a consistent coupon provided by government bonds. However, this is no longer the case. The crisis has dragged DM government bond yields around the world to below or near zero, which means that investors looking for income opportunities must search outside of government bonds, in riskier asset classes. One such asset class is equities. Over the last 50 years, income return has accounted for roughly a third of the total return of global equities (Chart 1, top panel). Moreover, in contrast to other sources of equity return such as earnings growth or multiple expansion, income return is always positive, making it much more consistent through time as well as resilient to recessions (Chart 1, middle and bottom panels). However, there are a couple of drawbacks to equities as income-generating assets: The income yield of equities is not particularly high, especially when one compares them with asset classes such as corporate debt which have similar or lower volatility (Chart 2, top panel). As opposed to fixed-income assets, where a set income return is guaranteed provided there is no default and the security is held to maturity, companies can actually cut their equity dividends when they come under stress. As a consequence, while trailing dividend yield is often an accurate indicator of future income return, it can overestimate it during bear markets (Chart 2, bottom panel). Chart 1Dividends Make Up A Substantial Portion Of Equity Returns Chart 2The Income Return Of Equities Is Low And Can Be Deceiving During Bear Markets In this report we examine two different dividend strategies that try to address the issues above: high-dividend yield stocks and dividend growth stocks. In addition to these strategies within the common equity space, we also explore whether preferred shares can be an attractive income opportunity. For each of these three income strategies we try to answer the following questions: How are these dividend indices constructed? How has each strategy performed historically? How has it performed during bear markets? What is the sector composition of each strategy? How are valuations now? To answer these questions, we examine the MSCI High-Dividend Yield indices, the S&P Dividend Aristocrat indices and the iShares Preferred Shares indices. Moreover, based on our analysis, we also make some recommendations as to which is the best income strategy in equity markets for the current environment. Please see our Investment Implications section for more details. High-Dividend Yield Stocks As their name suggests, high-dividend yield indices select for stocks with the highest dividend yields. In practice however, many more screening criteria are imposed. In order to ensure some stability in dividend payout, MSCI excludes REITs, payout outliers, negative dividend growth stocks, low-quality stocks, and low-performance stocks. Once all of these screening criteria are applied, MSCI selects for stocks which have a dividend yield that is at least 30% higher than its benchmark. Table 1 shows details on these screening criteria. Table 1Criteria For MSCI High-Dividend Yield Indices How has the MSCI High-Dividend index performed historically? Since 1996, high-dividend yield stocks have outperformed the benchmark at the global level by 50% (Chart 3, top panel). This outperformance has been mostly a result of the income advantage this index provides, given that price return has outperformed only by a paltry 3%. It is also worth noting that price performance has been particularly poor since the Financial Crisis, and has actually caused high-dividend yield stocks to underperform on a total return basis over the past decade. Relative performance has been flat to down, even in those markets where high-dividend yield had been very successful previously such as Canada, Japan, and Emerging Markets (Chart 3, bottom panel). What has caused this underperformance? One reason is the low allocation that the high-yield index has to Technology (Chart 4, panel 1). Another reason is style tilt. Factor analysis reveals that the high-dividend yield index has a very strong value bias1 (Chart 4, panel 2). This strong style tilt is likely responsible for the poor relative price performance of high-dividend yield stocks, as value has been notorious for underperforming over the past decade (Chart 4, panel 3). Chart 3High-Dividend Yield Stocks Have Not Outperformed In The Past Decade Chart 4The High-Dividend Yield Index Has A Strong Value Bias   But while high-dividend yield stocks are an implicit bet on value, there is evidence that investing in high-dividend yield stocks within the non-value universe is a profitable strategy. In the paper “What Difference Do Dividends Make?”, Coronover et al. found that high-dividend yield companies actually outperform their low-dividend yield counterparts in the high and median price-to-book universes2 (Table 2). Additionally, they found that high-dividend yield stocks also performed better vis-à-vis low-dividend yield stocks in the mid-cap and large-cap universes. Table 2High-Dividend And Low-Dividend Yield Stocks Sorted By Price-To-Book And Market Cap Dividend Growth Stocks Dividend growth stocks are securities that have increased their dividend for a certain number of consecutive years.  In the US, companies with a track record of at least 25 years of dividend increases are usually called “dividend aristocrats”, while companies with a 10-year track record are known as “dividend achievers”.3 However, the requirements to be classified as a dividend aristocrat or a dividend achiever are not uniform across index providers, and even within providers they are not uniform across different countries, which means that investors need to pay attention to selection criteria when investing in a dividend growth index (Table 3). In this report we will focus on the best-known dividend growth index: the S&P 500 Dividend Aristocrats index. Table 3Different Criteria To Become A Dividend Aristocrat In Different Countries How has this index performed historically? The S&P 500 Dividend Aristocrats index has outperformed the S&P 500 by nearly 60% since 1995 in total-return terms and by more than 30% in price terms. Additionally, it has enjoyed less volatility and has outperformed significantly during recessions (Chart 5, panel 1). Chart 5Dividend Aristocrats Outperform During Bear Markets The main difference between the benchmark and the Aristocrats index comes down to sector tilt and leverage.  The second panel of Chart 5 shows that the Aristocrats index has a large overweight in Consumer Staples and a large underweight in Technology relative to the S&P 500. Meanwhile, while valuations are not that different, and equity profitability is actually lower, the companies in the Aristocrats index are significantly less levered than those of the S&P 500, a testament to their defensive nature (Table 4). Table 4Dividend Aristocrats Have Low Leverage But are dividend aristocrats really a more reliable source of income than the rest of the market? Empirically, they have been. In the US, the likelihood of a dividend increase in any given year has historically been a function of how many consecutive dividend increases a company has done before (Chart 6). Beyond the strong balance sheets and stable business models that dividend aristocrat companies have, this is most likely a result of the incentives created by the asymmetry of the index: A multi-decade policy of dividend increases is a significant investment of time and resources to signal stability to the market. However, the status obtained by this policy – and all the resources devoted to it– is immediately lost the moment dividends are cut, with no possibility of reclaiming it in at least a quarter century.4 Importantly, the longer a company raises dividends the bigger the investment becomes, creating a very high incentive to not cut dividends. That being said, sometimes this incentive is not enough to overcome extreme business conditions, such as those that occurred in 2008. Chart 7 shows that the members of the S&P Dividend Aristocrats index declined by roughly a third during the Financial Crisis, mostly as a result of previously reliable banks that had to cut their dividends in 2008 and 2009.5 Chart 6The Likelihood Of A Dividend Increase Is Higher For Dividend Aristocrats Chart 7Extreme Business Conditions Can Force Some Aristocrats Off The Index   Preferred Shares Preferred shares are securities which have traits of both debt and common equity: Like debt, they have a par value, no voting rights, and they provide a prespecified cash flow. Nevertheless, they do not have a maturity date and they represent an ownership stake in the company, just like common equity. Analyzing the historical performance of preferred shares is difficult since most indices begin only around the Financial Crisis. However, from the limited data we have, we can make some observations: Preferred shares in the US have underperformed common equity, investment- grade debt and high-yield debt since 2004 (Chart 8). They also experienced very deep selloffs during recessions, often similar to the selloffs that common equities have experienced (Table 5). However, preferred shares do seem to have similar return drivers to corporate credit. In particular, much like corporate credit, they tend to fall whenever yields on corporate debt rise (Chart 9). Chart 8Preferred Equity Has Underperformed Credit And Common Equity Table 5Preferred Equity Has Similar Drawdowns To Common Equity During Recessions Chart 9US Preferred Shares React Negatively To Rising Credit Yields Chart 10US Preferred Shares Are Heavily Tilted To Financials In theory, the co-movement of preferred equity and corporate debt is not that surprising. Much like credit, preferred shares are fixed-income securities which are subject to credit risk. Whenever yields on risky credit rise, these fixed-income securities become relatively less attractive, making their price fall. Chart 11Canadian Preferred Shares Are An Oil Play However, what is surprising is that preferred shares have underperformed both investment-grade and high-yield credit. How could an asset that technically has more risk – and thus should offer a better rate of return – underperform for such a long time? One plausible explanation is sector skew. Preferred shares are heavily skewed to Financials, a sector that has underperformed significantly over the past decade (Chart 10). While Financials tend to dominate most preferred indices, other factor may also affect returns. In Canada, the preferred share index is most sensitive to changes in the price of oil – a consequence of both the relatively high weight of Energy in the index, and the importance of the commodity for the Canadian economy (Chart 11). There are many types of preferred shares which include rate-resets, perpetuals, and variable rate. We do not analyze them in this report since indices tracking most of these securities have a very short history. We do advise our clients to be wary of compositional differences between indices, since sector composition could be a larger driver of returns than the type of preferred equity itself. Finally, while it is outside the scope of this report, it is worth remembering that preferred shares might still be worth looking at for taxable investors, given that dividends and interest income are often not taxed at the same rates. Investment Implications Dividend Growth Stocks Investors should consider including dividend growth stocks in their portfolios. Their defensive nature means that they should be able to weather the recession brought about by the coronavirus lockdowns better than the overall market, while their long-term dividend policy implies that these companies will be more reluctant to cut dividends. One drawback of the S&P 500 Dividend Aristocrat index is that it is yielding less than 3%. Thus, investors would be better served by selecting individual securities within the index. In order to help with this exercise, we have ranked the companies in the S&P 500 Dividend Aristocrat index according to our own GAA Income Score. The score is based on the following three traits: Raw Income: the company’s current dividend yield. Yield Stability: the number of consecutive years the company has raised its dividend. Attractiveness: The company’s current score from the BCA Equity Trading Strategy service. Please find the ranking of the S&P 500 Dividend Aristocrats in Appendix A. According to our GAA Income Score the best S&P 500 Dividend Aristocrats are ExxonMobil, Franklin Resources, 3M, Procter & Gamble, AT&T, and Genuine Parts. High-Dividend Yield Stocks What about high-dividend yield stocks? The MSCI All-Country World High-Dividend Yield index is currently yielding a formidable 5%, making it an attractive income opportunity. However, investors should remember that high-dividend yield stocks have a significant exposure to the value factor. GAA is currently neutral on value versus growth, but we are concerned that value continued to underperform when equities were falling and has not been able to outperform in recent weeks as equities rebounded. For those who do not want to take on value exposure, overweighting high-dividend yield within non-value stocks and mid and large caps might be a better option. Preferred Equity Currently preferred shares have a dividend yield of roughly 5%. Do they make an attractive income opportunity? We don’t believe so. Low interest rates and tepid loan growth even after the quarantines are over will likely weigh on Financials – the sector which preferred shares are most exposed to. Moreover, its strong similarity to corporate debt makes this asset somewhat redundant for investors who already own credit. Appendix Juan Correa Ossa  Associate Editor juanc@bcaresearch.com Footnotes 1 This is in part by construction. The MSCI Value index uses dividend yield as one of its variables to asses value. 2 Mitchell Coronover, Gerald R. Jensen, and Marc W. Simpson, “What Difference Do Dividends Make?”, Financial Analyst Journal, Volume 72, Number 6 (2016). 3 Companies which have increased their dividend for at least 50 years are sometimes called “dividend kings”. 4 Eberner Asem and Ahamsul Alam, “The Market’s Reaction To Consecutive Dividend Increases,” (December 2017). 5 Not all companies exit the index due to dividend cuts. Some companies exit because of corporate restructurings or because they no longer meet the minimum market capitalization to qualify.