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Highlights Investment Grade Sector Valuation: Our investment grade corporate bond sector valuation models for the US, euro area, UK, Canada and Australia show some common messages, as markets have adjusted to a virus-stricken world. The most attractive valuations can be found within Energy and Financials, with defensive sectors like Utilities and Consumer Non-Cyclicals looking expensive everywhere. Global Corporate Bond Strategy: Investors should focus global investment grade corporate bond allocations along country lines, while keeping overall spread risk close to benchmark levels, over the next 6-12 months. Specifically, we favor overweighting the US (especially at maturities of five years or less where the Fed is buying) and the UK, while keeping a neutral allocation to euro area corporates. We also like Australian and Canadian corporate debt versus sovereigns in both countries. Feature Chart 1A Swift Policy Response Has Brought Spreads Under Control A Swift Policy Response Has Brought Spreads Under Control A Swift Policy Response Has Brought Spreads Under Control Global policymakers have responded swiftly and aggressively to the COVID-19 outbreak and associated deep worldwide recession. This includes not only fiscal stimulus and monetary easing, but central banks buying corporate debt outright and providing other liquidity backstops. Coming at a time of collapsing economic growth and deteriorating corporate credit quality, these combined policy initiatives have reduced the negative tail risk for growth-sensitive assets like corporate debt. The result: a sharp tightening of corporate bond spreads across the developed markets (Chart 1). After such a large and broad-based rally, the easiest gains from the “beta” of owning corporate credit have been exhausted. Additional spread tightening is still expected in the coming months as governments begin to restart their economies after the COVID-19 quarantines start to loosen and global growth slowly begins to improve. Spreads are unlikely to return all the way to the pre-virus tights, however, as the recovery will be uneven and there is still the threat of a second wave of coronavirus infections later this year. To that end, it makes sense for investors to begin seeking out the “alpha” in corporate debt markets by looking at relative valuations across sectors to find opportunities. It makes sense for investors to begin seeking out the “alpha” in corporate debt markets by looking at relative valuations across sectors to find opportunities.  In this report, we will conduct a review of our entire suite of global investment grade corporate sector relative value models. We will cover the US, provide fresh updates of our recently published look at the euro area1 and the UK,2 while also revisiting our relative value framework for Canada first introduced last year.3 We will also apply the same corporate bond sector value methodology to a new country: Australia. In addition, we will examine value across credit tiers using breakeven spread analysis for each of these regions. A Brief Note On Our Corporate Bond Relative Value Tools Before delving into the results from our models, we take this opportunity to refresh readers on the methodology underpinning these analyses. Our sector relative value framework determines “fair value” spreads for each of the major and minor industry level sub-indices of the overall investment grade universe of individual developed market economies (using Bloomberg Barclays bond indices). The methodology takes each sector’s individual option-adjusted spread (OAS) and regresses it with all other sectors in a cross-sectional model. The models vary slightly across countries/regions, as the independent variables in the regression are selected based on parameter significance and predictive power for local sector spreads. Using the common coefficients from that regression, a risk-adjusted "fair value" spread is calculated. The difference between the actual OAS and fair value OAS – a.k.a. the residual from the regression - is our valuation metric used to inform our sector allocation ranking. We then look at the relationship between these residuals and duration-times-spread (DTS), our primary measure of sector riskiness, to give a reading on the risk/reward trade-off for each sector. We then apply individual sector weights based on the model output and our desired level of overall spread risk to come up with a recommended credit portfolio. The weights are determined at our discretion and are not the output from any quantitative portfolio optimization process. The only constraints are that all sector weights must add to 100% (i.e. the portfolio is fully invested with no use of leverage) and the overall level of spread risk (DTS) must equal our desired target. To examine value across credit tiers, we use a different metric - 12-month breakeven spread percentile rankings. Specifically, we calculate how much spread widening is required over a one-year horizon to eliminate the yield advantage of owning corporate bonds versus duration-matched government debt. We then show those breakeven spreads as a percentile ranking versus its own history, to allow comparisons over periods with differing underlying spread volatility. With the key details of our models squared away, we will now present the results of our models for each country/region, along with our recommended allocation across sectors. We also discuss our recommended level of overall spread risk for each country/region, which helps inform our specific sector weightings. A Country-By-Country Assessment Of Investment Grade Corporates US In Table 1, we present the latest output from our US investment grade sector valuation model. In keeping with the framework used by BCA Research US Bond Strategy, we use the average credit rating, duration, and duration-squared (convexity) of each sector as the model inputs. To determine our US sector recommendations, we not only need to look at the spread valuations from the relative value model, but we must also consider what level of overall US spread risk (DTS) to target. Table 1US Investment Grade Corporate Sector Valuation & Recommended Allocation Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle With the Fed now purchasing investment grade corporates with maturities of up to five years in the primary and secondary markets, it makes sense to take advantage of that explicit support by focusing exposures on shorter-maturity bonds. Thus, we recommend targeting a relatively moderate level of spread risk (within an overweight allocation to US investment grade corporates) by favoring sectors with a DTS less than or equal to that of the overall US investment grade index. The sweet spot, therefore, is the upper-left quadrant in Chart 2 - sectors with positive risk-adjusted spread residuals from the relative value model and a relatively lower DTS. Chart 2US Investment Grade Corporate Sectors: Risk Vs. Reward Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle Chart 3US IG: More Value In The Lower Tiers US IG: More Value In The Lower Tiers US IG: More Value In The Lower Tiers On that basis, some of the most attractive overweight candidates are Cable Satellite, Media Entertainment, Integrated Energy, Diversified Manufacturing, Brokerage/Asset Managers, and Other Financials. Meanwhile, the least attractive sectors within this framework are Railroads, Communications, Wirelines, Wireless, Other Industrials and Utilities (including Electric, Natural Gas, and Other Utilities). While we have chosen to underweight much of the Energy space (with the exception of Integrated Energy) because of generally high DTS numbers, investors who are comfortable with taking on a higher level of spread risk can find some of the most attractive risk-adjusted valuations within oil related sectors. Our colleagues at BCA Research Commodity & Energy Strategy expect oil prices to continue to steadily rise in the months ahead, with Brent oil trading, on average, at $40/bbl this year and $68/bbl in 2021.4 We recommend targeting a relatively moderate level of spread risk (within an overweight allocation to US investment grade corporates). Across credit tiers, the higher-quality portion of the US investment grade corporate bond market appears unattractive, with spreads ranking below the historical median for Aaa- and Aa-rated debt (Chart 3). Conversely, Baa-rated debt appears most attractive, with spreads almost in the historical upper quartile. Euro Area In Table 2, we present the results of our euro area investment grade sector valuation model. The independent variables in this model are each sector’s duration, trailing 12-month spread volatility, and credit rating. Note that we will be using the same independent variables in our UK model. Table 2Euro Area Investment Grade Corporate Sector Valuation & Recommended Allocation Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle Spreads have already tightened significantly since our last discussion of euro area corporates in mid-April, with credit markets more fully pricing in greater monetary stimulus from the European Central Bank (ECB) – including increased government and corporate bond purchases. Thus, we believe it is reasonable to target a neutral level of overall portfolio DTS close to that of the benchmark index (within a neutral allocation to euro area investment grade). This means that, visually, we can think about our overweight candidates as sectors that are in the top half of Chart 4 - with positive residuals from our relative value model - but close to the dashed vertical line denoting the euro area benchmark index DTS. Target a neutral level of overall portfolio DTS close to that of the benchmark index (within a neutral allocation to euro area investment grade). Chart 4Euro Area Investment Grade Corporate Sectors: Risk Vs. Reward Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle Chart 5Euro Area IG: All Credit Buckets Are Attractive Euro Area IG: All Credit Buckets Are Attractive Euro Area IG: All Credit Buckets Are Attractive Within this framework, the most attractive sectors are Diversified Manufacturing, Packaging, Media Entertainment, Wireless, Wirelines, Automotive, Retailers, Services, Integrated Energy, Refining, Other Industrials, Bank Subordinated Debt and Brokerage/Asset Managers. The most unattractive sectors are Chemicals, Metals & Mining, Lodging, Restaurants, Consumer Products, Pharmaceuticals, Independent Energy, Midstream Energy, Airlines, Electric Utilities, and Senior Bank Debt. On a breakeven spread basis, all euro area investment grade credit tiers look attractive and rank well above their historical medians (Chart 5). The greatest value is in the upper rungs, with Aa-rated spreads ranking in the historical upper quartile; Aaa-rated and A-rated spreads almost meet that qualification as well, with Baa-rated spreads lagging a bit further behind (but still well above median). UK In Table 3, we present the latest output from our UK relative value spread model. With the Bank of England’s record expansion of corporate bond holdings still underway, we see good reason to maintain our overweight allocation to UK investment grade corporates on a tactical (0-6 months) and strategic basis (6-12 months). We are also targeting an overall portfolio DTS higher than that of the benchmark index—which we accomplish by overweighting sectors in the upper right quadrant of Chart 6. Table 3UK Investment Grade Corporate Sector Valuation & Recommended Allocation Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle Chart 6UK Investment Grade Corporate Sectors: Risk Vs. Reward Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle Chart 7UK IG: Value In All Tiers Except Aaa UK IG: Value In All Tiers Except Aaa UK IG: Value In All Tiers Except Aaa Based on this framework, some of the most attractive overweight candidates are Diversified Manufacturing, Cable Satellite, Media Entertainment, Railroads, Financial Institutions, Life Insurance, Healthcare and Other Financials. Meanwhile, the most unattractive sectors are Basic Industry, Chemicals, Metals and Mining, Building Materials, Lodging, Consumer Products, Food & Beverage, Pharmaceuticals, Energy, and Technology. On a breakeven spread basis, Aa-rated spreads appear most attractive while A-rated and Baa-rated spreads also rank above their historical medians (Chart 7). Canada Table 4 shows the output from our Canadian relative value spread model. The independent variables in this model are: sector duration, one-year ahead default probability (as calculated by Bloomberg) and credit rating. Table 4Canada Investment Grade Corporate Sector Valuation & Recommended Allocation Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle This week, the Bank of Canada (BoC) will join peer central banks in purchasing investment grade debt via its Corporate Bond Purchase Program (CBPP). First announced in April, the program has a maximum size of C$10 billion, equal to only 2% of the Bloomberg Barclays Canadian investment grade index. Nonetheless, the BoC’s actions have already helped rein in corporate spreads. Yet given this unprecedented support from the central bank, with room to add more if necessary to stabilize Canadian financial conditions, we feel comfortable recommending an overweight allocation to Canadian investment grade corporates vs. Canadian sovereign debt, but with spread risk close to the overall index. Consequently, we are targeting sectors in the upper half of Chart 8 with a DTS close to the corporate average denoted by the dashed line. Chart 8Canada Investment Grade Corporate Sectors: Risk Vs. Reward Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle Chart 9Canada IG: Great Value Across Tiers Canada IG: Great Value Across Tiers Canada IG: Great Value Across Tiers Our top overweight candidates are concentrated within the Financials category: Life Insurance, Healthcare REITs and Other Financials. Meanwhile, we recommend underweighting Construction Machinery, Environmental, Retailers, Supermarkets, Wirelines, Transportation Services, Cable Satellite, and Media Entertainment. On a breakeven spread basis, there is value in all credit tiers in the Canadian investment grade space, with Aaa-rated, Aa-rated, and Baa-rated spreads all in the uppermost historical quartile (Chart 9). Australia Table 5 shows the output from our new Australia relative value spread model. The independent variables in this model are sector credit rating, one-year ahead default probability (as calculated by Bloomberg), and yield-to-maturity. Due to the relatively small size of the Australian corporate bond market, we are focusing our analysis on Level 3 sectors within the Bloomberg Barclays Classification System (BCLASS) rather than the more granular Level 4 analysis we have employed for other markets. Table 5Australia Investment Grade Corporate Sector Valuation & Recommended Allocation Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle We recently recommended going overweight Australian investment grade corporate debt vs. government bonds.5 We feel comfortable reiterating that overweight stance while maintaining a neutral level of overall spread risk. As with Canada, we are looking for sectors in Chart 10 that show positive risk-adjusted valuations and have a DTS close to the Australian corporate benchmark. Chart 10Australia Investment Grade Corporate Sectors: Risk Vs. Reward Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle Chart 11Australia IG: Favor A-Rated and Baa-Rated Credit Australia IG: Favor A-Rated and Baa-Rated Credit Australia IG: Favor A-Rated and Baa-Rated Credit Based on that, our top overweight candidates are Capital Goods, Consumer Cyclicals, Energy, Other Utility, Insurance, Finance Companies, and Other Financials. Meanwhile, we are avoiding sectors such as Technology, Transportation, Electric and Natural Gas. On a breakeven spread basis, Baa-rated spreads look incredibly attractive, ranking at the 99.9th percentile; A-rated spreads are also above their historical median (Chart 11). Meanwhile, the higher quality Aaa and Aa tiers are relatively unattractive. As the relevant data by credit tier are not available in the Bloomberg Barclays Indices, we have instead used the Bloomberg AusBond Indices for this particular case, which unfortunately limits the history of our analysis to mid-2014. Bottom Line: Investors should focus global investment grade corporate bond allocations along country lines, while keeping overall spread risk close to benchmark levels, over the next 6-12 months. Specifically, we favor overweighting the US (especially at maturities of five years or less where the Fed is buying) and the UK, while keeping a neutral allocation to euro area corporates. We also like Australian and Canadian corporate debt versus sovereigns in both countries. Comparing Sector Valuations Across Markets The above analyses have allowed us to paint a picture of sector valuation within regions. However, there is added benefit in looking at risk-adjusted valuations across the three major corporate bond markets—the US, euro area and UK—with the intent of spotting broader sector level trends in the global investment grade universe that are not limited to just one market. Looking at Table 6, we can see some clear patterns: Table 6Valuations Across Major Corporate Bond Markets Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle Chart 12Canada, Euro Area, and UK Win Out On A Breakeven Spread Basis Canada, Euro Area, and UK Win Out On A Breakeven Spread Basis Canada, Euro Area, and UK Win Out On A Breakeven Spread Basis The most attractive sectors across the board are concentrated in the Financials space. Brokerage/Asset Managers, Insurance—especially Life Insurance - REITs and Other Financials all look well positioned. Valuations for Oil Field Services and Refining within the Energy space are also creating an attractive entry point ahead of the steady rebound in oil prices. Conversely, the most expensive sectors are the traditionally “defensive” ones, such as Utilities, Consumer Non-Cyclicals, and even Technology, which is now debatably a defensive sector. Most interesting are the idiosyncratic stories. These are sectors which have benefited or lost in outsized ways due to the unique impacts of COVID-19 on the economy, but which also have relatively wide or tight risk-adjusted spreads across all three countries. For example, Packaging and Paper, which should benefit from the increased demand for online shopping, and Media Entertainment, which benefits from a captive audience boosting streams and ratings, both have attractive spreads. On the other hand, we have Restaurants, with unattractive spread valuations at a time where more people will choose to stay home rather than take the health and safety risks associated with eating out. The most expensive sectors are the traditionally “defensive” ones, such as Utilities, Consumer Non-Cyclicals, and even Technology, which is now debatably a defensive sector. Finally, we can also employ our breakeven spread analysis to assess value across investment grade corporate bond markets and the country level (Chart 12). Within this framework, all the regions we have covered in this report appear attractive – especially Canada, the euro area and the UK – with Australia only appearing fairly valued. Bottom Line: Our investment grade corporate bond sector valuation models for the US, euro area, UK, Canada and Australia show some common messages, as markets have adjusted to a virus-stricken world. The most attractive valuations can be found within Energy and Financials, with defensive sectors like Utilities and Consumer Non-Cyclicals looking expensive everywhere.   Shakti Sharma Research Associate ShaktiS@bcaresearch.com Robert Robis, CFA Chief Fixed Income Strategist rrobis@bcaresearch.com Footnotes 1 Please see BCA Research Global Fixed Income Strategy Weekly Report, "Buy What The Central Banks Are Buying", dated April 14, 2020, available at gfis.bcaresearch.com. 2 Please see BCA Research Global Fixed Income Strategy Weekly Report, "Global Inflation Expectations Are Now Too Low", dated April 28, 2020, available at gfis.bcaresearch.com. 3 Please see BCA Research Global Fixed Income Strategy Weekly Report, "The Great White North: A Framework For Analyzing Canadian Corporate Bonds", dated August 28, 2019, available at gfis.bcaresearch.com. 4 Please see BCA Research Commodity & Energy Strategy Weekly Report, "US Politics Will Drive 2H20 Oil Prices", dated May 21, 2020, available at ces.bcaresearch.com. 5 Please see BCA Research Global Fixed Income Strategy Special Report, "Australia: All Good Streaks Must Come To An End", dated May 13, 2020, available at gfis.bcaresearch.com. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Hunting For Alpha In The Global Corporate Bond Jungle Hunting For Alpha In The Global Corporate Bond Jungle Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns

Disconnected Disconnected Underweight The S&P communications equipment index has given up its gains over the course of 2020. We remain bearish as the macro outlook still spells trouble and this positioning is in line with our newly formed view of preferring defensive tech (software & services) and avoiding aggressive tech (hardware & equipment). On the international front, “king dollar” has yet to fully filter through the system as foreign executives are reluctant to spend on big ticket items (CNY/USD shown advanced, top panel). On the domestic front, the industry has been aggressively ramping up headcount to the point that its wage bill is now expanding at the fastest pace this cycle. This rising labor cost backdrop will likely cap the share price ratio (wage bill shown inverted & advanced, middle panel) At the same time, CEOs are not ready to take the capex route as highlighted by the most recent CEO confidence survey (bottom panel). Importantly, the downtick in capex intentions came amidst a healthy rebound in almost every other “future conditions” sub-component of the survey. Bottom Line: Stay underweight the S&P communications equipment index. The ticker symbols for the stocks in this index are: BLBG – S5COMM – CSCO, JNPR, MSI, ANET, FFIV.

Highlights German bunds and Swiss bonds are no longer haven assets. The haven assets are the Swiss franc, Japanese yen, and US T-bonds. Gold is less effective as a haven asset. During this year’s coronavirus crash, the gold price fell by -7 percent. As such, our haven asset of choice for a further demand shock would be the 30-year T-bond, whose price rose by 10 percent during the crash. Technology and healthcare are the two sectors most likely to contain haven equities. Fractal trade: long Polish zloty versus euro. German Bunds And Swiss Bonds Are No Longer Haven Assets Chart of the WeekGold Is Tracking The US 30-Year T-Bond Price... But The T-Bond Is The Better Haven Asset Gold Is Tracking The US 30-Year T-Bond Price... But The T-Bond Is The Better Haven Asset Gold Is Tracking The US 30-Year T-Bond Price... But The T-Bond Is The Better Haven Asset European investors have been left defenceless. German bunds and Swiss bonds used to be the safest of haven assets. You used to be able to bet your bottom dollar – or euro or Swiss franc for that matter – that the bond prices would rally during a demand shock. Not in 2020. When the global economy and stock markets collapsed from mid-February through mid-March, the DAX slumped by -39 percent. Yet the German 10-year bund price, rather than rallying, fell by -2 percent, while the Swiss 10-year bond price fell by -4 percent.1  The lower limit to bond yields is around -1 percent. The reason is that German and Swiss bond yields are close to the practical lower limit to yields, which we believe is around -1 percent (Chart I-2). This means that German and Swiss bond prices cannot rise much, though they can theoretically fall a lot. Chart I-2German And Swiss Bond Yields Are Near Their Practical Lower Bound German And Swiss Bond Yields Are Near Their Practical Lower Bound German And Swiss Bond Yields Are Near Their Practical Lower Bound The behaviour of German bunds and Swiss bonds during the current crisis contrasts with previous episodes of market stress when their yields were unconstrained by the -1 percent lower limit. During the heat of the euro debt crisis in 2011, the 10-year bund price rallied by 12 percent. Likewise, during the frenzy of the global financial crisis in 2008, the 10-year bund price rallied by 7 percent (Chart I-3 - Chart I-5). Chart I-3German And Swiss Bonds Protected Investors During The 2008 Crash German And Swiss Bonds Protected Investors During The 2008 Crash German And Swiss Bonds Protected Investors During The 2008 Crash Chart I-4German And Swiss Bonds Protected Investors During The 2011 Crash German And Swiss Bonds Protected Investors During The 2011 Crash German And Swiss Bonds Protected Investors During The 2011 Crash Chart I-5German And Swiss Bonds Did Not Protect Investors During The 2020 Crash German And Swiss Bonds Did Not Protect Investors During The 2020 Crash German And Swiss Bonds Did Not Protect Investors During The 2020 Crash The defencelessness of European investors can also be illustrated via a ‘balanced’ 25:75 portfolio containing the DAX and 10-year German bund. The balanced portfolio theory is that a large weighting to bonds should counterbalance a sharp sell-off in equities, thereby protecting the overall portfolio. The theory worked well… until now. In this year’s coronavirus crisis, the 25:75 DAX/bund portfolio suffered a loss of -13 percent. This is substantially worse than the loss of -2 percent during the euro debt crisis in 2011, and the loss of -7 percent during the global financial crisis in 2008 (Chart I-6 - Chart I-8). Chart I-6A 25:75 DAX:Bund Portfolio Lost 7 Percent During The 2008 Crash A 25:75 DAX:Bund Portfolio Lost 7 Percent During The 2008 Crash A 25:75 DAX:Bund Portfolio Lost 7 Percent During The 2008 Crash Chart I-7A 25:75 DAX:Bund Portfolio Lost 2 Percent During The 2011 Crash A 25:75 DAX:Bund Portfolio Lost 2 Percent During The 2011 Crash A 25:75 DAX:Bund Portfolio Lost 2 Percent During The 2011 Crash Chart I-8A 25:75 DAX:Bund Portfolio Lost 13 Percent During The 2020 Crash A 25:75 DAX:Bund Portfolio Lost 13 Percent During The 2020 Crash A 25:75 DAX:Bund Portfolio Lost 13 Percent During The 2020 Crash What Are The Haven Assets? The lower limit to the policy interest rate – and therefore bond yields – is around -1 percent, because -1 percent counterbalances the storage costs of holding physical cash or other stores of value. If banks passed a deeply negative policy rate to their depositors, the depositors would flee into other stores of value. But if banks did not pass a deeply negative policy rate to their depositors, it would wipe out the banks’ net interest (profit) margin. Either way, a deeply negative policy rate would destroy the banking system. German and Swiss bond prices cannot rise much. German and Swiss bond yields are close to the -1 percent lower limit, meaning that the bond prices are close to their upper limit. Begging the question: what are the haven assets whose prices will rise and protect long-only investors when economic demand slumps? We can think of three. The Swiss franc. The Japanese yen (Chart I-9). US T-bonds. Chart I-9The Swiss Franc And Japanese Yen Are Haven Assets The Swiss Franc And Japanese Yen Are Haven Assets The Swiss Franc And Japanese Yen Are Haven Assets During the coronavirus crash, the 10-year T-bond price rallied by 4 percent while the 30-year T-bond price rallied by 10 percent (Chart I-10). Compared with German bund and Swiss bond yields, US T-bond yields were – and still are – further from the -1 percent lower limit. The good news is that long-dated T-bonds can still protect investors during a demand shock, although be warned that the extent of protection diminishes as yields get closer to the lower limit. Chart I-10Long-Dated US T-Bonds Are Haven Assets Long-Dated US T-Bonds Are Haven Assets Long-Dated US T-Bonds Are Haven Assets What about gold? As gold has a zero yield, it becomes relatively more attractive to own as the yield on other haven assets declines and turns negative. In fact, through the last three years, the gold price has been nothing more than a proxy for the US 30-year T-bond price (Chart of the Week). But gold is an inferior haven asset. During the coronavirus crash, the gold price fell by -7 percent, meaning it did not offer the protection that T-bonds offered. As such, our haven asset of choice for a further demand shock would not be gold. It would be the 30-year T-bond. What Are The Haven Equities? Many investors still use (root mean squared) volatility as a metric of investment risk. There’s a big problem with this. Volatility treats price upside the same as price downside. This is unrealistic. Nobody minds the price upside, they only care about the downside! Hence, a truer metric of risk is the potential for short-term losses versus gains. This truer measure of risk is known as negative asymmetry, or negative skew. In the twilight zone of ultra-low bond yields, bond prices take on this unattractive negative skew. As German bunds and Swiss bonds have taught us this year, bond prices can suffer losses, but they cannot offer gains. This means that bonds become riskier investments relative to other long-duration investments such as equities whose own negative skew remains relatively stable. The upshot is that the prospective return offered by equities must collapse. This is because both components of the equity return – the bond yield plus the equity risk premium – shrink simultaneously.  Equity valuations rise as an exponential function of inverted bond yields. Given that valuation is just the inverse of prospective return, the effect is that equity valuations rise as an exponential function of inverted bond yields. Chart I-11 illustrates this exponentiality by showing that technology equity multiples have tightly tracked the inverted bond yield plotted on a logarithmic scale. Chart I-11Technology Valuations Are Exponentially Sensitive To The (Inverted) Bond Yield Technology Valuations Are Exponentially Sensitive To The (Inverted) Bond Yield Technology Valuations Are Exponentially Sensitive To The (Inverted) Bond Yield Unfortunately, not all equities will benefit from this powerful dynamic. Equities must meet two crucial conditions to justify this exponential re-rating. One condition is that their sales and profits must be relatively resilient in the face of the current coronavirus induced demand shock. And they should not be at risk of a structural discontinuity, as is likely for say airlines, leisure and many other old-fashioned cyclicals. A second condition is that their cashflows must be weighted further into the future, so that their ‘net present values’ are much more geared to the decline in bond yields. Equities that meet these two conditions are likely to benefit the most from the ongoing era of ultra-low bond yields. And the two equity sectors that appear the biggest beneficiaries are technology and healthcare. In the coronavirus world, these two sectors will likely contain the haven equities. Stay structurally overweight technology and healthcare. Fractal Trading System* This week’s recommended trade is to go long the Polish zloty versus the euro. The profit-target and symmetrical stop-loss are set at 2 percent. Most of the other open trades are flat, though long Australian 30-year bonds versus US 30-year T-bonds and Euro area personal products versus healthcare are comfortably in profit.  The rolling 1-year win ratio now stands at 61 percent. Chart I-12PLN/EUR PLN/EUR PLN/EUR 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 Footnotes 1 From February 19 through March 18, 2020. 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 Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields   Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations  

Feature The SPX suffered its third 5.3-7.3% pullback since early April last week, which we deem a healthy development as markets cannot go up in a straight line. While there is a chance this latest pullback may morph into a correction, our sense is that equities will remain range bound in the near-term consolidating the vast gains made since the March 23 lows. Now that earnings season is practically over and macro data will remain backward looking, a large void signals that technicals will dominate trading. On that front, this looming lateral move will likely confine the SPX between the critical 50-day and 200-day moving averages – a roughly 10% range between 2,712 and 3,000 – until a catalyst breaks the stalemate (top panel, Chart 1A). With regard to the cyclical outlook, ultra-accommodative fiscal and monetary policies remain the dominant macro themes, and underpin our sanguine equity market view for the next year. Chart 1AConsolidating Gains Consolidating Gains Consolidating Gains Dollar The Reflator Importantly, King Dollar is a key macro variable that we are closely monitoring and as we highlighted last week, the Fed is indirectly aiming at jawboning the greenback.1 US dollar based liquidity is one of the most important determinants/drivers of global growth. The longer US dollar liquidity gets replenished, the more upward pressure it will put on SPX momentum and SPX EPS (Chart 1B). Sloshing US dollar based liquidity will serve as a much needed catalyst for a global growth recovery. Chart 1BHeed The Message From US Dollar Liquidity: Chart Of The Year Candidate Heed The Message From US Dollar Liquidity: Chart Of The Year Candidate Heed The Message From US Dollar Liquidity: Chart Of The Year Candidate The Yield Curve, Interests Rates And Profits Meanwhile, the yield curve, in fact a number of different yield curve slopes, troughed prior to the SPX in March, preserving its leading properties both near equity market tops and bottoms (middle & bottom panels, Chart 1A). The Fed orchestrated the steepening of the yield curve – which is typical during recessions – with the two preemptive cuts in March. Crucially, the yield curve is signaling that in the back half of the year SPX profits will also trough. True, a profit shortfall is upon us in Q2, and the steeper the fall, the higher the chance of a V-shaped recovery, owing to base effects (yield curve shown advanced, Chart 2). Chart 2Steep Yield Curve Slope Will Reflate Profits Steep Yield Curve Slope Will Reflate Profits Steep Yield Curve Slope Will Reflate Profits Encouragingly, the Fed reiterated last week that it will remain ultra-accommodative. While it will refrain from delving into NIRP, QE5 can expand anew and sustain the perching of the 2-year and even the 5-year and 7-year Treasury yields near zero. In fact, the shadow fed funds rate is already below zero as we highlighted last week.2 This monetary backdrop coupled with rising fiscal deficits as far as the eye can see – which will put upward pressure on long-term Treasury yields – will ensure a steep yield curve, and thus engineer a profit recovery (Chart 2). With regard to the interplay of interest rates and profit growth, the two are tightly inversely correlated (Chart 3). Empirical evidence suggests that since the mid-1980s profit growth is the mirror image of the year-over-year change in 7-year Treasury yields, albeit with a significant lag. Chart 3Interest Rate Pummeling Is A Boon For EPS Interest Rate Pummeling Is A Boon For EPS Interest Rate Pummeling Is A Boon For EPS What EPS Growth Is Discounted? Currently, if the relationship between profits and yields were to hold, then SPX EPS growth would stage a sizable come back in 2021. Chart 4 depicts the sell side’s quarterly EPS forecasts all the way to end 2021. Indeed, following a steep contraction, a brisk V-shaped profit recovery is looming in 2021 as we first argued three weeks ago that “historical precedents show an explosive year-over-year growth increase in EPS from recessionary troughs”.3 In more detail, Chart 5 breaks down 12-month forward EPS growth per sector. Tech comes out on top and by a wide margin with a near double-digit profit growth rate in absolute terms. This gulf is even more pronounced relative to the contracting SPX EPS growth rate. In fact, tech relative profit growth just reached the highest level since 2004 and explains the broad market’s tech dependence. As a reminder, tech market cap is back to the 2018 peak despite the fact the GOOGL and FB have now moved to the newly formed S&P communication services index. If one were to add the pair and AMZN back to the tech sector’s weight, it would comprise over 36% of the SPX, higher even than the dotcom bubble era (Chart 6)! Chart 4V-Shaped Profit Recovery V-Shaped Profit Recovery V-Shaped Profit Recovery Chart 5Tech… Tech… Tech… Chart 6…Reigns Supreme …Reigns Supreme …Reigns Supreme Tech Titans Digression A brief digression is in order as it pertains to the tech titans. We have been inundated with requests recently on the subject of valuations and the concentration of returns in the top five SPX stocks. We first commented on this in January, and reiterate today that the current tech sector’s supposed overvaluation is nowhere near the dotcom excesses .4 Back then, the top five SPX stocks commanded a forward P/E over 60, but today’s valuation pales in comparison with the late-1990s, as the equivalent P/E is roughly half that multiple (please refer to Chart 2 of the January 27, 2020 Weekly Report). Why? Because at the turn of the millennium, tech stocks had very little earnings to show for, but now the tech sector has the largest profit weight among its GICS1 peers. Thus, tech stocks trade at a modest 9% premium to the broad market whereas in 1999 they were changing hands at more than twice the SPX multiple (Chart 7). Chart 8 attempts to shed more light on the subject. The top panel shows the overall SPX market cap and also excluding the top five stocks. Then we subtract the top five stocks’ forward P/E from the broad market and show where the S&P 500 ex-top five stocks P/E trades (second panel, Chart 8). Since the FB IPO, these stocks have indeed increased their influence on the broad market’s valuation (third panel, Chart 8). Chart 7What Relative Overvaluation? What Relative Overvaluation? What Relative Overvaluation? Chart 8Top Five Are Pricey, But For Good Reason Top Five Are Pricey, But For Good Reason Top Five Are Pricey, But For Good Reason Sectorial Profit Growth Breakdown Circling back to the breakdown of 12-month forward EPS growth per sector, traditional defensive sectors (utilities, staples and health care) all enjoy positive 12-month forward profit growth in absolute terms, and so do communication services that just kissed off the zero line. All other sectors are contracting at differing degrees (Chart 5). On a longer-term basis, as expected no GICS1 sector is slated to contract, but their five-year growth rates are widely dispersed. Consumer discretionary, real estate, materials and tech occupy the top ranks with double digit growth rates, while utilities, consumer staples, energy, industrials and financials are in mid-single digits and at the bottom of the pit. Communication services and health care hover in the middle, on a par with the broad market (Chart 9). Chart 9Long-Term Growth Has Reset Lower Long-Term Growth Has Reset Lower Long-Term Growth Has Reset Lower Higher Profits Are Synonymous With Higher Returns Intuitively, the higher the forward profit growth rate, the higher each sector’s trailing return. Chart 10 depicts this positive correlation on the GICS1 sectors and corroborates that the laggard energy sector has the lowest year-to-date return, whereas tech stocks lead the pack. Importantly, SPX sector profit weights are extremely important. Chart 11 ranks the GICS1 sectors 12-month forward profit weights. Tech, health care and financials comprise roughly 60% of total S&P 500 earnings for the coming year. Whereas the drubbing in the energy sector (83% projected EPS contraction) has drifted into oblivion within the SPX context and has a mere 0.5% profit weight (Chart 11). Chart 10Higher Growth = Higher Returns Debunking Earnings Debunking Earnings Chart 11Top three Comprise 60% Of Profit Weight Debunking Earnings Debunking Earnings Bottom Line: While the top three sectors inherently carry the bulk of the risk on the SPX earnings front courtesy of the high concentration, our sense is that both tech (neutral) and health care (overweight) will deliver according to the messages from our macro EPS growth models (Chart 12). Financials (overweight) profits are a question mark, and therefore pose the greatest risk to our still constructive 9-12 month broad equity market view.     Anastasios Avgeriou US Equity Strategist anastasios@bcaresearch.com Chart 12EPS Growth Models Emit Positive Signals EPS Growth Models Emit Positive Signals EPS Growth Models Emit Positive Signals   Footnotes 1     Please see BCA US Equity Strategy Weekly Report, “The Bottomless Punchbowl” dated May 11, 2020, available at uses.bcaresearch.com. 2     Ibid. 3    Please see BCA US Equity Strategy Weekly Report, “Gauging Fair Value” dated April 27, 2020, available at uses.bcaresearch.com.          4    Please see BCA US Equity Strategy Weekly Reports, “Three EPS Scenarios” dated January 13, 2020 and “When The Music Stops...” dated January 27, 2020, available at uses.bcaresearch.com.  

Dear Client, In lieu of our regular report next week, we will be sending you a Special Report on China from Matt Gertken, BCA Research’s Chief Geopolitical Strategist. Matt will discuss whether China’s President Xi Jinping is losing his political mandate. Best regards, Peter Berezin, Chief Global Strategist Highlights The pandemic is likely to have a more severe impact on Main Street than Wall Street, which helps explain why stocks have rallied off their lows even as bond yields have remained depressed. Equity investors are hoping that central banks will keep rates lower for longer, while fiscal easing will revive demand. The end result could be lower bond yields within the context of a full employment economy – a win-win for stocks.  In the near term, these hopes could be dashed, given bleak economic data, falling earnings estimates, and rising worries about a second wave of the pandemic. Longer term, an elevated equity risk premium and the likelihood that the pandemic will not have a significantly negative effect on the supply side of the economy argue for overweighting stocks over bonds. Negative real rates will continue to support gold prices. A weaker dollar later this year will also help. Divergent Signals Chart 1Conflicting Signals Conflicting Signals Conflicting Signals Global equities have rallied 24% off their March lows. The S&P 500 is down only 12% year-to-date and is trading close to where it was last August. In contrast, bond yields have barely risen since March. The US 10-year note currently yields 0.63%, down from 1.92% at the start of the year. The yield on the 30-year bond stands at a mere 1.3%. While crude oil and industrial metal prices have generally tracked bond yields, gold prices have rallied alongside equities (Chart 1). It would be easy to throw up one’s hands and exclaim that markets are behaving schizophrenically. Yet, we think it is possible to reconcile these seemingly divergent price patterns in a way that sheds light on where the major asset classes are likely to go in the months ahead. Two important points should be kept in mind: Bonds and industrial commodities tend to reflect the outlook for the real economy (i.e., Main Street) whereas stocks reflect the outlook for corporate earnings (i.e., Wall Street). The two often move together but can occasionally diverge in important ways. Stock prices and bond yields will tend to move in tandem when deflationary pressures are intensifying; however, the two often move in opposite directions when monetary policy is becoming more accommodative. The former prevailed in early March whereas the latter has been the dominant force since central banks have opened up the monetary spigots. The Real Economy Is Suffering The current economic downturn will go down as the deepest since the Great Depression. The IMF expects global GDP to contract by 3% this year, compared with a flat reading in 2009. GDP in advanced economies is projected to fall by 6%, twice as bad as in 2009 (Chart 2). Chart 2Severe Damage To The Global Economy This Year Are Stocks And Bonds Sending Mixed Messages? Are Stocks And Bonds Sending Mixed Messages? Unemployment rates are also likely to reach the highest levels since the 1930s. The US unemployment rate spiked to 14.7% in April. Even that understates the true increase in joblessness. The labor force has shrunk by 8 million workers since February. If everyone who had left the labor force had been considered unemployed, the unemployment rate would have jumped to nearly 19% (Chart 3). Unemployment among less-skilled workers rose more than among the skilled. Joblessness also increased more among women than men (Chart 4). Chart 3Increase In Joblessness Is Understated Increase In Joblessness Is Understated Increase In Joblessness Is Understated Chart 4Unemployment Has Risen More For Less Skilled Workers And Women Are Stocks And Bonds Sending Mixed Messages? Are Stocks And Bonds Sending Mixed Messages? The one silver lining is that unlike in past recessions, temporary layoffs have accounted for the vast majority of job losses (Chart 5). This suggests that the links between firms and workers have yet to be severed. As businesses reopen, the hope is that most of these workers will be able to return to their jobs, fueling a rebound in spending. Chart 5Temporary Layoffs Account For Most Of The Recent Increase In Unemployment Temporary Layoffs Account For Most Of The Recent Increase In Unemployment Temporary Layoffs Account For Most Of The Recent Increase In Unemployment Risks Of A Second Wave Will that hope be realized? As we discussed last week, the virus that causes COVID-19 is highly contagious – probably twice as contagious as the one that caused the Spanish flu.1 While some social distancing measures will persist even if governments relax lockdown orders, the risk is high that we will see a second wave of infections. Even if a second wave ensues, we do not expect stocks to take out their March lows. In many places, the second wave could come on top of a first wave that has barely abated. This is precisely what happened during the Spanish flu pandemic (Chart 6). Stock prices and credit spreads have closely tracked the number of Google queries about the coronavirus (Chart 7). If the number of new infections begins to trend higher, concern about the pandemic will deepen. This makes us somewhat wary about the near-term direction of risk assets. Chart 6The Lesson From The Spanish Flu: The Second Wave Could Be Worse Than The First Are Stocks And Bonds Sending Mixed Messages? Are Stocks And Bonds Sending Mixed Messages? Chart 7Joined At The Hip Joined At The Hip Joined At The Hip   March Was The Bottom In Equities Nevertheless, even if a second wave ensues, we do not expect stocks to take out their March lows. This is partly because the cone of uncertainty around the virus has narrowed. We now know that the fatality rate from the virus is around 1%-to-1.5%, which makes COVID-19 ten times more deadly than the common flu, but still less lethal than SARS or MERS, let alone some avian flu strains which have mortality rates upwards of 50%. A few treatments for the virus are on the horizon. Gilead’s remdesivir appears to be effective in treating COVID-19. Blood plasma injections also look promising. A vaccine developed by researchers at the University of Oxford has been shown to be safe on humans and effective against COVID-19 on rhesus monkeys. Production of the vaccine has already begun, and if it works well on humans, the Oxford scientists expect it to be widely available by September.2 The Stock Market Is Not The Economy Then there is the issue of Main Street versus Wall Street. US equities account for over half of global stock market capitalization. Tech and health care are the two largest sectors in the S&P 500. The former has benefited from the shift towards digital commerce in the wake of the pandemic, while the latter is a highly defensive sector that has gained from the flurry of interest in new treatments for the disease (Chart 8). Chart 8AUS Equity Sectors: Winners And Losers From The Pandemic (I) US Equity Sectors: Winners And Losers From The Pandemic US Equity Sectors: Winners And Losers From The Pandemic Chart 8BUS Equity Sectors: Winners And Losers From The Pandemic (II) US Equity Sectors: Winners And Losers From The Pandemic US Equity Sectors: Winners And Losers From The Pandemic Even within individual sectors, the impact on Wall Street has been more muted than on Main Street. For example, spending on consumer discretionary goods and services has plummeted across the real economy over the past few months. Yet, this has not hurt equity investors as much as one might have expected. Amazon accounts for 55% of the retail sector’s market capitalization. Home Depot is in second place by market cap. Home Depot’s stock is trading near an all-time high, buoyed by increased spending on home improvement projects by people stuck at home. McDonald's, which is benefiting from the shift to take-out ordering, is the largest stock in the consumer services sector (followed by Starbucks). Contrary to the claim that the stock market is blissfully ignorant of the mounting economic damage, those sectors that one would expect to suffer from a pandemic-induced downturn have, in fact, suffered. Airline stocks, which account for less than 2% of the industrials sector, have plunged. The same is true for cruise ship stocks. Bank stocks have also been beaten down, reflecting fears of heightened loan losses. Likewise, lower oil prices have undercut the stocks of energy exploration and production companies (Chart 9). At the regional level, non-US stocks, with their heavy weighting in deep cyclicals and financials, have underperformed their US peers. Small caps have also lagged their large cap brethren, while value stocks have trailed growth stocks (Chart 10). Chart 9Sectors Expected To Suffer From A Pandemic-Induced Downturn Have, In Fact, Suffered Sectors Expected To Suffer From A Pandemic-Induced Downturn Have, In Fact, Suffered Sectors Expected To Suffer From A Pandemic-Induced Downturn Have, In Fact, Suffered Chart 10Non-US Stocks, Small Caps, And Value Stocks Have Underperformed Non-US Stocks, Small Caps, And Value Stocks Have Underperformed Non-US Stocks, Small Caps, And Value Stocks Have Underperformed Tech stocks are overrepresented in growth indices, which helps explain why growth has outperformed value. Tech companies also tend to carry little debt while sporting large cash holdings. Companies with strong balance sheets have greatly outperformed companies with weak ones since the start of the year (Chart 11). Chart 11Firms With Strong Balance Sheets Have Excelled Relative To Weak Ones Firms With Strong Balance Sheets Have Excelled Relative To Weak Ones Firms With Strong Balance Sheets Have Excelled Relative To Weak Ones Chart 12Real Rates Have Come Down This Year Real Rates Have Come Down This Year Real Rates Have Come Down This Year In addition, growth companies have disproportionately benefited from the dramatic decline in real interest rates (Chart 12). A drop in the discount rate raises the present value of a stream of cash flows more the further out in time those cash flows are expected to be realized.   What Low Bond Yields Are Telling Us Doesn’t the decline in real long-term interest rates signal that future economic growth will be considerably weaker? If so, doesn’t this nullify the benefit to growth companies in particular, and the stock market in general, from a lower discount rate? Not necessarily! While lockdowns have led to a temporary drop in aggregate supply, they have not severely undermined the long-term productive capacity of the economy. Unlike during a war, no factories have been destroyed. And while heightened unemployment could lead to some atrophying of skills, the human capital base has remained largely intact. Chart 13 shows that output-per-worker eventually returned to its long-term trend following the Great Depression. Chart 13No Clear Evidence That The Great Depression Lowered Long-Term Trend Growth No Clear Evidence That The Great Depression Lowered Long-Term Trend Growth No Clear Evidence That The Great Depression Lowered Long-Term Trend Growth What the pandemic has done is made some forms of capital obsolete. We probably will not need as many cruise ships or airplanes as we once thought. But these items are not a huge part of the capital stock. And while some brick and mortar stores will disappear, this was part of a long-term shift toward a digital economy – a shift that has been raising productivity levels, rather than lowering them. Demand Is The Bigger Issue So why have long-term real interest rates fallen so much? The answer has more to do with demand than supply. Investors are betting that the pandemic will force central banks to keep interest rates at ultra-low levels for a very long period of time. All things equal, such an extended period of low rates might be necessary if the pandemic causes households to increase precautionary savings and prompts businesses to cut back on investment spending for an extended period of time. All things are not equal, however. As discussed in greater detail in Box 1, if real interest rates fall by enough, aggregate demand could still return to levels consistent with full employment since lower interest rates would discourage savings while encouraging capital expenditures. What if interest rates cannot fall by enough because of the zero-lower bound? In that case, fiscal policy would have to pick up the slack. Either taxes would need to be cut so that the private sector becomes more eager to spend, or the government would need to undertake more spending directly on goods and services. When interest rates are close to zero, worries about debt sustainability diminish since debt can be rolled over at little cost. In the end, the economy could end up in a new post-pandemic equilibrium where real interest rates are lower and fiscal deficits are larger. Applying Theory To Practice Framed in this light, we can make sense of what has happened over the past few months. The drop in long-term bond yields in February and early March was driven by falling inflationary expectations and rising financial stress. Yields then briefly jumped in mid-March as panicky investors dumped bonds in a mad scramble to raise cash. Not surprisingly, stocks suffered during this period. The Federal Reserve reacted to this turmoil by cutting rates to zero. It also initiated large-scale asset purchases, which injected much needed cash into the markets. In addition, the Fed dusted off the alphabet soup of programs created during the financial crisis, while launching a few new ones in an effort to increase the availability of credit and reduce funding costs. Other central banks also eased aggressively. As Chart 14 illustrates with a set of simple examples, even a modest decline in long-term interest rates has the power to significantly raise the present value of future cash flows. To compliment the easing in monetary policy, governments loosened fiscal policy (Chart 15). The point of the stimulus was not to raise GDP. After all, governments wanted most non-essential workers to remain at home. What fiscal easing did do was allow many struggling households and businesses to meet their financial obligations, while hopefully having enough income left over to generate some pent-up demand for when businesses did reopen their doors. Chart 14What Happens To Earnings During A Recessionary Shock? Are Stocks And Bonds Sending Mixed Messages? Are Stocks And Bonds Sending Mixed Messages? Chart 15Will It Be Enough? Are Stocks And Bonds Sending Mixed Messages? Are Stocks And Bonds Sending Mixed Messages? Ultimately, equity investors are hoping for an outcome where fiscal policy is eased by enough to eventually restore full employment while interest rates stay low well beyond that point in order to induce the private sector to keep spending: A win-win combination for stocks. Chart 16Gold Prices Move In The Opposite Direction To Real Rates Gold Prices Move In The Opposite Direction To Real Rates Gold Prices Move In The Opposite Direction To Real Rates The discussion above can also explain the divergent moves in commodity prices. Most industrial metals are consumed not long after they are produced. This makes industrial metal prices highly sensitive to the state of the global business cycle. In contrast, almost all of the gold that has ever been unearthed is still around. This makes gold an anticipatory asset whose price reflects expectations about future demand. Since owning gold does not generate any income, the opportunity cost of holding gold is simply the interest rate (Chart 16). When real interest rates rise, as they did briefly in early March when deflationary fears intensified, gold prices tend to fall. When real interest rates decline, as they did after central banks slashed rates and restarted large-scale QE programs, gold prices tend to rise. Investment Conclusions The current environment bears a passing resemblance to the one that prevailed in late 2008. Following the stock market crash in the wake of Lehman’s bankruptcy, the S&P 500 rallied by 24% between November 20, 2008 and January 6, 2009 to reach a level of 935. Had you bought stocks on that day in January, you still would have made good money over a 12-month horizon. However, you would have lost money over a 3-month horizon since the S&P 500 ultimately dropped to as low as 667 on March 6. During that painful first quarter of 2009, the economic surprise index remained firmly below zero, while earnings estimates continued to drift lower, just like today (Chart 17). As noted above, we do not expect stocks to take out their March 2020 lows, but a temporary sell-off would not surprise us, especially against a backdrop where a second wave of the pandemic looks increasingly likely. Chart 17Is Today A Replay Of Late 2008/Early 2009? Is Today A Replay Of Late 2008/Early 2009? Is Today A Replay Of Late 2008/Early 2009? Chart 18Favor Equities Over Bonds Over A 12-Month Horizon Favor Equities Over Bonds Over A 12-Month Horizon Favor Equities Over Bonds Over A 12-Month Horizon Despite our near-term concerns, we continue to think that stocks will outperform bonds over a 12-month horizon. The equity risk premium remains elevated, particularly outside the US (Chart 18). While non-US stocks do not have as much exposure to tech and health care, they do benefit from very cheap valuations. European banks are trading at washed out levels (Chart 19). The cyclically-adjusted PE ratio for EM stocks is near record lows (Chart 20). Investors should consider increasing exposure to non-US equities if global growth begins to reaccelerate this summer. Chart 19European Banks Are Trading At Washed Out Levels European Banks Are Trading At Washed Out Levels European Banks Are Trading At Washed Out Levels Chart 20EM Stocks Are Very Cheap Are Stocks And Bonds Sending Mixed Messages? Are Stocks And Bonds Sending Mixed Messages? Given our view that central banks want real rates to stay low and will refrain from tightening monetary policy even if inflation eventually begins to rise, investors should maintain above-average exposure to gold. A weaker US dollar later this year will also help bullion. Box 1The Role Of Monetary And Fiscal Policy Following Savings Shocks Are Stocks And Bonds Sending Mixed Messages? Are Stocks And Bonds Sending Mixed Messages? Peter Berezin Chief Global Strategist peterb@bcaresearch.com Footnotes 1  Please see Global Investment Strategy Weekly Report, “Risks To The U,” dated May 7, 2020. 2  Charlie D’Agata, “Oxford scientists say a vaccine may be widely available by September,” cbsnews (April 30, 2020). Global Investment Strategy View Matrix Are Stocks And Bonds Sending Mixed Messages? Are Stocks And Bonds Sending Mixed Messages? Current MacroQuant Model Scores Are Stocks And Bonds Sending Mixed Messages? Are Stocks And Bonds Sending Mixed Messages?

Upgrade Software To Overweight Upgrade Software To Overweight Overweight We recently monetized over 50% relative gains in our overweight S&P software portfolio position by temporary going to neutral, but we are compelled to lift this heavyweight tech sub-index back to an overweight stance. One key reason for our renewed bullishness is that for the second time in the past 15 months, software stocks managed to eke out relative gains when the broad market fell peak-to-trough 20% and 35% in late-2018 and in Q1/2020, respectively (see chart). This resilience on the way down confirms both the defensive stature of this services tech subgroup and simultaneously our long held belief that when growth is scarce investors will flock to secular growth stocks. Last week we also showed that the tech sector (along with financials and consumer discretionary) best the broad market from the recessionary troughs onward, signaling that the key software sub group will likely lead the recovery. Bottom Line: Boost the S&P software index to overweight. This upgrade also lifts the S&P tech sector to neutral. The ticker symbols for the stocks in this index are: BLBG: S5SOFT – MSFT, ADBE, CRM, ORCL, INTU, NOW, ADSK, ANSS, SNPS, CDNS, FTNT, PAYC, CTXS, NLOK. For additional details please refer to our most recent Weekly Report.  

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 Social Distancing Is Good For Robots, Bad For Humans Social Distancing Is Good For Robots, Bad For Humans 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 Social Distancing Is Good For Robots, Bad For Humans Social Distancing Is Good For Robots, Bad For Humans 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 Social Distancing Is Good For Robots, Bad For Humans Social Distancing Is Good For Robots, Bad For Humans 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... The 1990s UK Recovery Produced No Increase In Self-Employment... The 1990s UK Recovery Produced No Increase In Self-Employment... Chart I-2...But The 2010s UK Recovery Produced A Huge Increase In Self-Employment ...But The 2010s UK Recovery Produced A Huge Increase In Self-Employment ...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... Unemployment Rates Have Been At Multi-Decade Lows... Unemployment Rates Have Been At Multi-Decade Lows... Chart I-4...But Wage Inflation Has Been ##br##Anaemic ...But Wage Inflation Has Been Anaemic ...But Wage Inflation Has Been 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 Any Bond Yield That Can Go Lower Will Go Lower Any 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 Banks Are Underperforming In Both Up Markets And Down Markets Banks 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 Tech Is Outperforming In Both Up Markets And Down Markets Tech 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 If Big Tech Outperforms Banks, The S&P 500 Must Outperform The Euro Stoxx 50 If 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 30-Year Govt. Bonds: Australia Vs. US 30-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 Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields   Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations  

Highlights Portfolio Strategy Our conservative dividend growth assumptions especially for the next three years – largely mimicking the GFC experience – result in an SPX 3,000 fair value target. Relative performance already reflects the jump in demand for packaged foods. A firm US dollar and an ongoing profit margin squeeze at a time when relative valuations have returned to the historical mean compel us to downgrade the S&P packaged foods index to neutral. An upward trending demand profile, a fortress of a balance sheet, exemplary recession resilience, and sustained M&A activity, all warrant an overweight stance in the S&P software index. Recent Changes Trim the S&P packaged foods index to neutral today, which pushes the S&P consumer staples sector to a benchmark allocation. Boost the S&P software index to overweight today, which lifts the S&P tech sector to a benchmark allocation. Table 1 New SPX Target New SPX Target Feature The SPX jumped to a five-week high last week, on the back of news that the economy will gradually reopen next month. In other news, GILD’s remdesivir drug showed some positive early signs in fighting off the coronavirus, sparking an impressive late-week rally in the SPX. From a macro perspective, flush monetary liquidity and extremely easy fiscal policy remain the dominant market forces. While we remain confident that equities will be higher on a 9-12 month cyclical time horizon, we believe that the easy money since the March 23 lows has already been made and a consolidation phase now looms. Thus, monetizing some of these gains would make sense at the current juncture. Keep in mind that the SPX, junk spreads and the CBOE’s put/call ratio have returned to their respective means since 2018 (horizontal lines denote the historical averages, Chart 1). Tack on the stiff resistance that the S&P 500 will face near the 50-day and 100-week moving averages, and a lateral move is likely in the coming weeks. Meanwhile, in our seminal report “SPX 3,000?” on July 10, 2017 we introduced our SPX dividend discount model (DDM) when we first came up with the SPX 3,000 target.1 It is now custom to update our DDM every April when the previous year’s annual S&P 500 dividend payment is finalized from the Standard & Poor’s. Chart 1Consolidation Mode Consolidation Mode Consolidation Mode Chart 2Dividends Rule Dividends Rule Dividends Rule As a reminder, we have been and remain very conservative in our DDM assumptions. Again this year we assume that no buybacks will occur, a long held assumption of ours, i.e. we pencil in a steady divisor in the coming five-year time frame. 2025 is our terminal year when dividend growth settles at 6.6%, 60bps below the long-term average (bottom panel, Chart 2). Our 8.2% discount rate mirrors the corporate junk bond yield historical average. This year we use two different dividend growth approaches: our own estimates and alternatively the S&P 500 dividend futures derived growth. In the spirit of conservatism, we pick the lowest point hit in early April across the different dividend futures expirations. Tables 2 & 3 summarize the results. In the dividend futures derived approach, SPX fair value is close to 2,110. Granted, such dividend contractions for two years running (33% in 2020 and 14% in 2021, Table 2) are extreme and highly unlikely. Moreover, dividend futures have since rebounded violently. However, we stick with them to derive our worst case SPX value. Table 2SPX Dividend Discount Model: Using S&P Dividend Futures Growth Assumptions New SPX Target New SPX Target Our own dividend growth estimates result in an SPX 3,000 fair value target (Table 3). While our assumptions are not as dire as the nadir in dividend futures, they are slightly more conservative than the GFC experience. As a reminder, in the aftermath of the GFC dividends contracted by 20% in 2009 and then recovered rising by 1% and 16% in 2010 and 2011, respectively (please click here if you would like to receive our DDM and insert your own assumptions). Table 3SPX Dividend Discount Model: Using USES Dividend Growth Assumptions New SPX Target New SPX Target Building up on this analysis, we want to identify sectors that are at risk of a dividend cut, and thus pose the greatest threat to our SPX dividend projections. Table 4 shows the 2019 sectorial dividends, profits, and the payout ratio along with indebtedness. While during the Great Recession financials cut their handsome dividends, the current recession is not a financial crisis and we doubt the financials sector will cut their dividends, at least not as aggressively as in the GFC (Table 5). Table 4S&P 500 GICS1 Sector Dividend Analysis New SPX Target New SPX Target Table 5The GFC S&P 500 GICS1 Sector Dividend Experience New SPX Target New SPX Target Energy is a clear standout, but neither XOM nor CVX will forego their dividend aristocrat status (minimum 25 consecutive years of rising dividends) and chop their dividends. In other words, these Oil Majors will do everything in their power including raising debt to ever so modestly increase their dividends and maintain their aristocrat status. Thus, $24bn of energy sector related dividends are safe or 55% of the overall energy sector’s dividend. Keep in mind that the energy sector increased their dividends in the GFC (Tables 4 & 5). Industrials (GE is no longer a big dividend payer), materials, real estate and select consumer discretionary are sore spots, but not large enough to undermine the SPX (Table 4). Tech, health care and consumer staples are in excellent shape and judging by JNJ’s and COST’s recent dividend hikes, these sectors that enjoy mostly pristine balance sheets may even increase their payouts as they did during the GFC (Tables 4 & 5). While utilities and telecom services are debt saddled, their defensive stature and stable cash flow streams along with their history of steady dividend payments also do not pose a real threat to the SPX’s dividend (Tables 4 & 5). This leaves financials as the key sector to monitor for a possible large inflicted wound to the SPX dividend. In the most adverse scenario where the Fed instructs banks to eliminate their dividends, as the BoE and the ECB recently did in Europe, then the SPX dividend will contract, but only by 15%, ceteris paribus. This is because last year the tech sector had the highest dividend weight in the SPX and also because the financials sector’s dividend weight has fallen from 30% in 2007 to 15% in 2019 (Tables 4 & 5). Netting it all out, we are comfortable with our dividend growth assumptions especially for the next three years – largely mimicking the GFC experience – and resulting in an SPX 3,000 fair value target. The path of least resistance for the SPX remains higher on a 9-12 month cyclical time horizon. However, given that the easy SPX gains from the March 23, 2020 lows – when we turned cyclically bullish2 – have been made, opportunistic/nimble investors could monetize at least a part of these massive one-month returns. As aforementioned the SPX may face resistance near the 50-day moving average where it attempts to consolidate its recent gains. This week we are downgrading a defensive group to neutral and boosting a deep cyclical group to an above benchmark allocation. Turning Stale Following up from last week’s report, we heed the message from our research to be wary of staples stocks at the depth of the recession and downgrade the S&P packaged foods index to neutral. This move also pushes the S&P consumer staples sector down to a benchmark allocation from previously overweight. While this defensive index had been severely bruised from the accounting scandal at Kraft/Heinz, it has really flexed its safe haven muscles year-to-date. We use this opportunity to trim exposure down to neutral as we deem that this relative advance has run out of steam, despite the once in a lifetime jump in a number of key demand indicators. Chart 3 shows that food & beverage store retail sales now garner 17% of total retail sales a percentage last hit in the early 1990s. Impressively, not only did industry sales rise in absolute terms, but also overall retail sales suffered a severe setback accentuating last month’s spike. Similarly, food output hit a high mark last month, outpacing overall industrial production that came to a standstill. Food products resource utilization also soared, outpacing overall capacity utilization by 10% (bottom panel, Chart 3). As a result, relative share price momentum came close to accelerating by triple digits on a short-term rate of change basis (Chart 4). While such euphoria is warranted, we reckon that most if not all the good news is already reflected in prices, especially given the early signs of a possible reopening of the US economy some time next month. Importantly, sell side analyst optimism has climbed to a similar height observed in late-2015/early-2016 when industry 12-month forward EPS were slated to outshine the broad market by over 10% (bottom panel, Chart 4). Chart 3Demand Boost… Demand Boost… Demand Boost… Chart 4…Is Already Baked In …Is Already Baked In …Is Already Baked In Worrisomely, despite the rising demand profile, operating margins have been drifting lower over the past decade and a further profit margin squeeze remains a high probability outcome (Chart 5). Finally, on the food export front, the rising US dollar is warning that volumes will remain in check in coming quarters (greenback shown inverted, middle panel, Chart 6). All of this is reflected in valuations that have returned to the 25-year mean with packaged food manufacturers now trading at a 9% forward P/E premium to the broad market (bottom panel, Chart 6). Chart 5Margin Trouble Margin Trouble Margin Trouble Chart 6Past Expiry Date Past Expiry Date Past Expiry Date In sum, relative performance already reflects the jump in demand for packaged foods. A firm US dollar and an ongoing profit margin squeeze at a time when relative valuations have returned to the historical mean compel us to downgrade the S&P packaged foods index to neutral. Bottom Line: Trim the S&P packaged foods index to neutral, today for a loss of 20% since inception. This downgrade also pushes the S&P consumer staples sector to neutral for a loss of 11% since inception. The ticker symbols for the stocks in this index are: BLBG: S5PACK – MDLZ, SJM, KHC, CPB, MKC, CAG, TSN, GIS, HSY, HRL, K, LW. Boost Software To Overweight We recently monetized over 50% relative gains in our overweight in the S&P software index, but today we are compelled to lift this heavyweight tech sub-index back to an overweight stance. One key reason for our renewed bullishness is that for the second time in the past 15 months, software stocks managed to eke out relative gains when the broad market fell peak-to-trough 20% and 35% in late-2018 and in Q1/2020, respectively (Chart 7). This resilience on the way down confirms both the defensive stature of this services tech subgroup and simultaneously our long held belief that when growth is scarce investors will flock to secular growth stocks. Chart 7Recession Proof Recession Proof Recession Proof As a result and following up from our recent data processing upgrade, another defensive services tech group, we are compelled to augment exposure to the S&P software index to overweight. Last week we showed that the tech sector (along with financials and consumer discretionary) best the broad market from the recessionary troughs onward, signaling that the key software sub group will likely lead the recovery.3 Software investment is on a multi decade upward trajectory and is slated to rise further in coming quarters as overall spending takes the back seat, but defensive software capex remains resilient (Chart 8). Not only do corporate executives upgrade software in downturns as these upgrades yield near instantaneous return on investment and are immediately productivity enhancing, but also the push to cloud-based services will only accelerate during the ongoing recession (bottom panel, Chart 8). Tack on that the global coronavirus social distancing measures are also boosting demand for remote working services specifically, and software sales will continue to grind higher (Chart 9). Chart 8Capex Market Share Gains Capex Market Share Gains Capex Market Share Gains Chart 9Rising Demand Buoys Sales Rising Demand Buoys Sales Rising Demand Buoys Sales Meanwhile, industry M&A remains robust and both the number of deals are still rising at a brisk rate and the premia paid remain near historically high levels (Chart 10). Contrary to a slew of corporations that have announced dividend cuts and equity buyback suspensions, pristine software balance sheets underscore that shareholder friendly activities will remain in place, if not accelerate, during the current recession (bottom panel, Chart 10). Chart 10What’s Not To Like? What’s Not To Like? What’s Not To Like? Chart 11Model Says Buy Model Says Buy Model Says Buy Our macro-based software EPS growth model does an excellent job in capturing all these moving forces and it is signaling that industry profits will continue to expand at a healthy pace for the rest of the year, in marked contrast to the broad market’s expected profit contraction (Chart 11). Adding it all up, an upward trending demand profile, a fortress of a balance sheet, exemplary recession resilience, and sustained M&A activity, all bode well for an earnings-led outperformance phase in the S&P software index. Bottom Line: Boost the S&P software index to overweight, today. This upgrade also lifts the S&P tech sector to neutral for a loss of 5% since inception. The ticker symbols for the stocks in this index are: BLBG: S5SOFT – MSFT, ADBE, CRM, ORCL, INTU, NOW, ADSK, ANSS, SNPS, CDNS, FTNT, PAYC, CTXS, NLOK.   Anastasios Avgeriou US Equity Strategist anastasios@bcaresearch.com       Footnotes 1     Please see BCA US Equity Strategy Weekly Report, “SPX 3,000?” dated July 10, 2017, available at uses.bcaresearch.com. 2     Please see BCA US Equity Strategy Weekly Report, ““The Darkest Hour Is Just Before The Dawn”” dated March 23, 2020, available at uses.bcaresearch.com. 3    Please see BCA US Equity Strategy Weekly Report, “Fight Central Banks At Your Own Peril” dated April 14, 2020, available at uses.bcaresearch.com.     Current Recommendations Current Trades Strategic (10-Year) Trade Recommendations New SPX Target New SPX Target Size And Style Views June 3, 2019 Stay neutral cyclicals over defensives (downgrade alert)  January 22, 2018 Favor value over growth May 10, 2018 Favor large over small caps (Stop 10%) June 11, 2018 Long the BCA Millennial basket  The ticker symbols are: (AAPL, AMZN, UBER, HD, LEN, MSFT, NFLX, SPOT, TSLA, V).

Favor Defensive Tech Favor Defensive Tech In our latest Weekly Report we boosted the S&P data processing index to overweight from previously underweight. Data processing stocks are a services-based defensive tech index that typically thrive in deflationary and recessionary environments, according to empirical evidence (see chart). We are currently in recession, thus a deflationary impulse will grip the economy and investors will flock to defensive tech stocks when growth is scarce. Tack on the spike in the greenback, and the disinflationary backdrop further boosts the allure of these tech services stocks (third panel). Beyond the recessionary related tailwinds, data processing stocks should also enjoy firming relative demand. While the two bellwether stocks, V and MA, will suffer from the decrease in consumption that requires physical visits and from select services outlays that are severely affected by the coronavirus, online spending by households and corporations should at least serve as a partial offset. Bottom Line: We recently lifted the S&P data processing index to overweight from previously underweight. The ticker symbols for the stocks in this index are: BLBG: S5DPOS – ADP, V, MA, PYPL, FIS, FISV, GPN, PAYX, FLT, BR, JKHY, WU, ADS.