Economy

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

Special Report

Highlights In mainstream EM, foreign currency debt restructuring is more likely to occur among corporates than governments. Thus, dedicated EM credit investors should overweight mainstream EM sovereign credit and underweight EM corporate debt. Urgency among EM companies and banks to hedge their large foreign currency liabilities will continue exerting downward pressure on EM exchange rates. Ongoing currency depreciation and the lack of buyers of last resort for EM credit underpin the following strategy: short EM sovereign and corporate credit / long US investment-grade corporate credit. Feature Scope And Focus Of Analysis This report re-visits the issue of EM foreign currency debt, assessing EM debt vulnerability. This report focuses on mainstream EM (countries included in Table 1), excluding Gulf countries and frontier markets. Frontier markets like Argentina, Ecuador, Egypt, Ukraine, Lebanon and sub-Saharan African countries occupy somewhat idiosyncratic positions and are therefore not part of this report. Gulf countries on the other hand, are extremely leveraged to oil prices and, unlike mainstream EMs they have currency pegs warranting a separate analysis.1 Chart 1Favor EM Sovereign Against EM Corporate Credit Among mainstream EM countries, public debt restructuring is not imminent and in the majority of cases is unlikely. However, there is a growing risk of foreign currency debt restructuring among EM companies and banks. Hence, we make a new investment recommendation: overweight mainstream EM sovereign credit / underweight EM corporate debt (Chart 1). We also reiterate the short EM sovereign and corporate credit / long US investment-grade corporate credit strategy. In this report, foreign currency debt is defined as the sum of foreign debt securities (i.e., foreign currency bonds) and foreign currency loans. In short, foreign currency debt measures foreign currency borrowing of companies, banks and governments. These statistics do not include foreign holdings of local currency bonds and equities or any other local currency liability of residents to foreigners. Overall, the level of foreign currency debt is pertinent in assessing EM debt vulnerability originating from exchange rate depreciation. Table 12 offers comprehensive foreign currency debt statistics for each individual country and EM as a whole. It details foreign currency debt by type of borrower - the government, corporates and banks – and also reveals the breakdown between foreign debt securities and foreign currency loans for each segment. Table 1EM FX Debt: Who Owes How Much Chart 2EM FX Debt Has Doubled Since 2008 The foreign currency debt of Chinese companies and banks is quite substantial relative to other EM countries. Hence, including China in the EM aggregates would materially affect these EM aggregates. We thus focus our analysis on EM ex-China and present China’s numbers separately. Since early 2009, EM ex-China aggregate foreign currency debt has doubled to about $3 trillion (Chart 2). Furthermore, this $3 trillion EM ex-China foreign currency debt is split as follows in terms of borrower type: non-financial corporates ($1.25 billion), banks ($846 billion) and governments ($878 billion). Government Foreign Currency Debt Among mainstream EM countries, foreign currency government debt is not vulnerable to restructuring or default. The reason is that the foreign currency debt burden of governments is low, having declined dramatically in the last decade. Table 2 illustrates that the share of local currency government debt is by far greater than the foreign currency debt in each EM country. Table 2EM Public Debt: Local Currency Exceeds FX Debt In the past 10 years, EM governments have deliberately replaced their foreign currency debt with local currency debt. Search for yield by international fixed-income investors has facilitated this debt swap: enormous foreign demand for EM domestic bonds has allowed EM governments to issue a considerable amount of local currency bonds. Chart 3EM Foreign Exchange Reserves Are Large In addition, mainstream EM countries, with exception of Turkey and South Africa, hold large foreign currency reserves (Chart 3). Lately, several mainstream EM countries have gained a new defense tool from the Federal Reserves – US dollar swap lines. EM central banks’ swap lines with the Fed are primarily intended to instill confidence among investors in financial markets. They could be used to fend off short-term speculative attacks on EM currencies. Nevertheless, they cannot alleviate insolvency problems. We will elaborate more about these swap lines with the Fed in another report this week. As to local currency public debt, the odds of debt restructuring are also low. First, the majority of EM countries have low aggregate public debt burdens as a share of the GDP (Table 2). Second, the majority of these nations have flexible currency regimes. This means that their central banks control the printing press. In the worst-case scenario - when investors become reluctant to own EM local currency government bonds, EM central banks can buy those bonds in both the secondary or primary markets if needed. In short, EM central banks can resort to a form of quantitative easing, i.e., purchasing local currency government bonds that would amount to public debt monetization. The wild card in this case will be the exchange rate – the currencies could depreciate substantially amid public debt monetization by central banks. Given that government liabilities in foreign currencies have declined substantially, exchange rate depreciation will not be a constraint for policymakers’ ability to monetize local currency debt. Remarkably, in the past two months amid the global indiscriminate selloff, central banks in several EM countries have begun purchasing government bonds or have stated that they will do so if required. This has created a precedent that will be used in future. One country that has large local currency government debt is Brazil. We have previously argued that Brazil requires robust nominal GDP growth to climb out of a public debt trap. With the COVID-19 crisis, the outbreak for its public debt has worsened considerably. Without the central bank monetizing public debt, it will be difficult for Brazil to escape rising government debt strains and, ultimately, local currency debt restructuring. In short, the cost of avoiding local currency public debt restructuring in Brazil could be large currency depreciation. Bottom Line: In mainstream EM, neither foreign currency nor local currency government debt face an imminent risk of restructuring. Public debt restructuring and defaults are occurring in Argentina and among frontier markets like Ecuador, Lebanon and a few sub-Saharan nations that are beyond the scope of this report. If local currency government bond markets become anxious about public debt sustainability, EM central banks could purchase government paper. If done on large scale, this will cause further currency depreciation. Corporate Foreign Currency Debt From a macro perspective, there are presently some pre-conditions that herald rising odds of foreign currency debt restructuring among EM corporates and banks: (1) rapid and massive foreign currency debt built up in the past 10-15 years; (2) substantial plunge in corporate revenues; and (3) massive currency depreciation. Taken together, these create fertile ground for debt restructuring by some corporate debtors. Foreign currency debt of companies and banks in mainstream EM ex-China countries has swelled in the past 10 years reaching $2.1. Bonds account for about $1.4 trillion while foreign currency loans account for the remaining $0.7 trillion. The global recession brought about by the COVID-19 pandemic is producing a collapse in EM companies’ local currency revenues and exports. Notably, EM ex-China exports were contracting even before the COVID-19 outbreak and they are currently crashing (Chart 4). Chart 4EM Exports & Corporate Credit Spreads Chart 5Commodities Prices And Currencies Drive EM Credit Spreads The top panel of Chart 5 illustrates EM corporate credit spreads (inverted) correlate with commodities prices. Hence, plunging commodities prices entail growing foreign currency debt stress for EM companies and banks. Finally, EM ex-China currencies have depreciated substantially making foreign currency debt more expensive to service (Chart 5, bottom panel). Please refer to Box 1 attesting that for EM debtors with US dollar liabilities, EM exchange rate depreciation is worse than that of higher US bond yields.     Box 1 What Is More Imperative For EM FX Debt: Exchange Rates Or Interest Rates? EM debtors with dollar debt are much more vulnerable to an appreciating dollar than rising US interest rates. Table 3 illustrates this point using the following hypothetical simulation: We consider a conjectural Brazilian debtor with $1,000 in debt with five years remaining to maturity, and a starting point exchange rate of 4 BRL per USD. In our example, a 5% depreciation in local currency against the dollar boosts the overall debt burden by 200 BRL (please refer to row 2 of Table 3). This does not include the rise in local currency costs of interest payments. It reflects only the increased burden of principal. Table 3A Hypothetical Simulation: FX Debt Burden Is More Sensitive To Exchange Rate Than Borrowing Costs An equivalent rise in debt servicing costs in local currency will require a 100-basis-point increase in US dollar borrowing costs. In brief, US dollar rates should rise by 100 basis points for interest payments to increase by BRL 200 over a five-year period, the time remaining to maturity. This simulation reveals that a 5% dollar appreciation versus local currency is as painful as a 100 basis points rise in US dollar rates and is more burdensome if the cost of coupon payments is accounted for. Provided there are higher odds of 5% currency depreciation in many EMs than a 100-basis-point rise in US dollar borrowing costs, we infer that EM FX debtors’ creditworthiness is more sensitive to exchange rates than to US Treasury yields. As the bottom panel of Chart 5 above clearly demonstrates, EM corporate and sovereign credit spreads correlate strongly with EM exchange rates. Consequently, the trend in EM exchange rates versus the US dollar is much more important for EM credit spreads than fluctuations in US bond yields. As to the currency composition of EM FX debt, about 82% of EM external debt is in US-dollar terms. Bottom Line: So long as EM currencies depreciate against the greenback, EM FX debt stress will mount, and EM corporate and sovereign credit spreads will widen. This will occur irrespective of whether US Treasury yields rise or drop.   If the bear market in commodities persists and/or EM currencies depreciate further – which is our baseline scenario, defaults on and restructuring of foreign currency debt among EM companies and banks are probable. One avenue to avoid corporate defaults is for the government to guarantee or assume the banks’ and companies’ foreign currency liabilities. It is probable because many of these borrowers are large entities with close links to their governments. However, governments will step in only after a debtor is on the brink default and its credit spreads are very wide. Briefly put, investors should be careful not to bet too early on government backstops of EM corporates’ and banks’ foreign currency debt. Identifying which corporate issuers could default or restructure debt involves bottom-up analysis that is beyond the scope of the macro research that BCA specializes in. An important question is what portion of corporate foreign currency liabilities have these debtors already hedged? Unfortunately, there are no macro data to answer this question either. Judging by the magnitude and speed of EM currency depreciation we have seen in the past two months, odds are that they have already partially hedged their exchange rate risk. Yet, given the sheer size of foreign currency liabilities, it is hard to imagine that corporates and banks have hedged all of them. Below we analyze each countries’ ability to service its foreign currency debt from a macro perspective. Vulnerability Assessment From a macro standpoint, foreign debt servicing vulnerability can be measured by foreign debt obligations (FDOs) and foreign funding requirements (FFRs). Chart 6EM FDOs And FFRs (Annualized) FDOs are the sum of debt expiring in the next 12 months, and interest as well as amortization payments over the next 12 months. FDO data are available until Q3 of 2019 (Chart 6, top panel). Hence, using this latest datapoint is pertinent to gauging the ability of individual countries to service their foreign debt over the coming six months. FFRs are the sum of FDOs in the next 12 months and current account balance (Chart 6, bottom panel). It measures the amount of foreign capital inflows required in the next 12 months for a country to cover any shortfalls in its balance of payment dynamics. Exports Coverage Of FDO: This measure compares annualized US dollar export revenues available to each country to its foreign debt service obligations in the next 12 months (Chart 7). The most vulnerable countries according to this measure are Brazil, Colombia, Turkey and Peru. On the other hand, Russia, Mexico, India & Korea have higher exports-to-FDO ratios. Chart 7Exports-To-Foreign Debt Obligations Ratio Foreign Exchange Reserves-to-FFRs Ratio: These metrics compare the size of foreign exchange reserves held by each nation’s central bank to its FFRs in the next 12 months (Chart 8). By this measure, Chile, Colombia, Turkey, Indonesia and Mexico have large FFRs relative to their central bank foreign exchange reserves. Meanwhile, Russia, Korea and Thailand fare well on this metric. Chart 8FX Reserves-To-Foreign Funding Requirements On the whole, Chart 9 is a scatter plot combining both FDO and FFR measures to determine the most and least vulnerable EMs. The most vulnerable EMs are Brazil, Turkey, Colombia and Chile. Meanwhile, Russia, Korea, India and the Philippines are the least vulnerable. Chart 9EM FX Debt And Currency Vulnerability Investment Recommendations So long as EM currencies depreciate against the greenback, EM foreign currency debt stress will mount, and EM corporate and sovereign credit spreads will widen. We remain bearish on EM currencies. They usually trade with the global business cycle and the latter remains in free fall. We continue recommending shorting a basket of the following currencies versus the US dollar: BRL, CLP, ZAR, IDR, PHP and KRW. There will likely be no imminent restructuring or default on public debt in mainstream EM countries, outside frontier markets like Argentina, Ecuador, Lebanon and sub-Saharan African countries. However, there could be meaningful credit stress among EM corporate issuers. Consequently, dedicated EM credit investors should overweight mainstream EM sovereign credit and underweight EM corporate debt. We continue to recommend underweighting EM sovereign and corporate credit versus US investment-grade corporate credit (Chart 10). Not only is the Fed buying US investment-grade and some high-yield bonds but US companies will also benefit from the substantial fiscal stimulus. In EM, corporates and banks lack such support. Crucially, in contrast to US corporates, EM issuers also suffer from currency depreciation. Within the EM sovereign credit universe, our overweights are Russia, Mexico, Peru, Thailand and Malaysia. Underweights include South Africa, Brazil, Indonesia, the Philippines and Turkey. The rest warrant a neutral allocation within an EM sovereign credit portfolio. Finally, within corporate credit, we reiterate our long-standing recommendation of long Asian investment-grade corporates / Asian short high-yield corporate (Chart 11). We continue recommending shorting a basket of the following currencies versus the US dollar: BRL, CLP, ZAR, IDR, PHP and KRW. Chart 10Remain Underweight EM Credit Versus US IG Credit Chart 11Long Asian IG Corporate / Short Asian HY Corporate     Andrija Vesic Associate Editor andrijav@bcaresearch.com Arthur Budaghyan Chief Emerging Markets Strategist arthurb@bcaresearch.com   Footnotes 1We will publish a report on Saudi Arabia in the coming weeks. 2We have compiled data on foreign currency securities issued by non-financial companies and banks from Bloomberg. Bloomberg data accounts for the nationality of debt issuers. For instance, a US dollar bond issued by a Brazilian corporate subsidiary or a shell company located in the Cayman Islands is counted as Brazilian foreign corporate debt, rather than a Cayman Island debt security. For foreign loans, we use the Bank of International Settlements (BIS) datasets on Banking Statistics.

Highlights Duration: While it’s possible that we are close to the US economic trough, we don’t see any immediate upside in Treasury yields. Investors should keep portfolio duration at benchmark and await signs of recovery in our preferred global growth indicators. Spread Product: Investors should buy spread products that offer attractive spreads relative to history and that benefit from Fed support. We favor: Aaa non-agency CMBS, Agency CMBS, Aaa ABS, municipal bonds and investment grade corporate bonds. High-Yield: We recommend an overweight allocation to Ba-rated high-yield corporates and an underweight allocation to high-yield bonds rated B and lower. Ba-rated bonds will benefit from Fed support and value in the B-rated and below credit tiers does not adequately compensate for likely default losses. Feature Chart 1Fed Actions Spur Rally Even though the economy remains closed and most of us are still confined to our homes, the mood in financial markets has shifted during the past few weeks. Risk assets are rallying as investors react to a cresting in the number of new COVID-19 cases and an unprecedented fiscal and monetary response. Since the Fed announced that it would step into the corporate bond market on March 23, equities have outpaced Treasuries by 28% and high-yield bonds have beaten the Treasury benchmark by 15% (Chart 1). Treasury securities initially rallied after the landmark Fed announcement but have only kept pace with cash during the past two weeks (Chart 1, bottom panel). This reversal in markets begs the question: Is the bottom already in? In this week’s report we ask that question about several different US bond sectors. Too Early To Call The Bottom In Treasury Yields At least in the Treasury market, we think it is premature to call the bottom in yields. Chart 2The Depths Of The Downturn In prior reports we outlined a checklist to call the trough in Treasury yields.1 Two of the items on that checklist were: a severe deterioration in the US economic data and signs of economic recovery in the rest of the world, particularly in those places where the pandemic struck first – like China. We are certainly now seeing the bad US economic data. The Economic Surprise Index is just off its all-time low and a composite of 10 high-frequency economic indicators compiled by the New York Federal Reserve is at its lowest point since the series began in 2008 (Chart 2). Similarly, weekly initial jobless claims set a record three weeks ago. Though they remain extremely elevated, new claims have declined in each of the past two weeks (Chart 2, bottom panel). All this at least raises the possibility that we are close to the trough in US economic growth. However, our second criterion of improving demand outside the US, particularly in China, has not been met. This is crucial because bond investors will need to see that there is light at the end of the tunnel before concluding that US economic activity will trend higher. China’s Manufacturing PMI bounced to just above 50 in March, suggesting that only a small majority of firms experienced better economic conditions in March compared to February. China’s credit impulse is advancing, demonstrating that policymakers are pumping a large amount of stimulus into the economy. But high-frequency growth barometers – like the CRB Raw Industrials index, the performance of cyclical versus defensive equity sectors and the trend in Emerging Market currencies – all remain downbeat (Chart 3). Bond investors will need to see improving demand outside the US before concluding that US economic activity will trend higher. For Treasury yields, the broad CRB Raw Industrials commodity benchmark is particularly important. This is because the ratio between the CRB index and the price of gold closely tracks the 10-year Treasury yield (Chart 4). In a typical economic downturn, we first see Treasury yields and the CRB index fall together as global demand weakens. Then, monetary policy responds by turning more accommodative, leading to a rebound in the price of gold as investors start to reckon with the potential long-run inflationary impact of monetary stimulus. Eventually, bond yields will bottom. But this will only occur once the stimulus seeps through to the real economy and gains in the CRB index start to outpace gains in gold. Chart 3No Global Growth Recovery Yet Chart 4Track The CRB/Gold Ratio The dynamic described above means that we should expect Treasury yields to lag risk assets as the market bottoms. In other words, we will see a sustained rebound in equity prices and corporate bond excess returns before Treasury yields move meaningfully higher. This is especially true in this cycle because the Fed has indicated that it will be slow to shift away from its accommodative policy stance. Bottom Line: While it’s possible that we are close to the US economic trough, we don’t see any immediate upside in Treasury yields. Investors should keep portfolio duration at benchmark and await signs of recovery in our preferred global growth indicators. To hedge against the risk of higher Treasury yields without making a large duration bet, investors should implement duration-neutral curve steepeners. We recommend going long the 5-year bullet and short the duration-matched 2/10 barbell.2 Is The Bottom In For Investment Grade Spread Product Excess Returns? We hesitate to call the bottom in overall spread product returns versus Treasuries. However, we do see many buying opportunities in specific US fixed income sectors. In deciding which sectors to own, we advise investors to search for sectors that: (A)  Have attractive spreads and (B)  Benefit from one or more of the Fed’s recently announced programs We described each of the Fed’s different lending facilities in last week’s Special Report, and will not repeat that exercise this week.3 Instead, we run through a list of sectors where we think spreads have already peaked and that bond investors should own today. Aaa CMBS Aaa-rated CMBS, both non-agency and agency-backed, meet our two criteria of offering attractive spreads and benefiting from Fed support (Chart 5). The Aaa non-agency CMBS index spread is 119 bps wider than at the end of 2019, and the securities can be used as collateral under the Fed’s Term Asset-Backed Loan Facility (TALF). Specifically, bondholders can borrow from TALF against their Aaa non-agency CMBS collateral at a rate of OIS + 125 bps (Chart 5, panel 2). TALF will also impose a haircut of around 15% on CMBS collateral. Chart 5Buy Aaa CMBS Agency-backed CMBS are even more attractive on a risk-adjusted basis. The Agency CMBS index spread is 50 bps above its end-2019 level and the Fed is directly purchasing Agency CMBS as part of its ongoing mortgage-backed securities purchases. As of April 15, the Fed had purchased $5.7 billion of Agency CMBS since it announced CMBS purchases on March 23. The outstanding par value of the Bloomberg Barclays Agency CMBS index is about $204 billion. If the Fed’s current pace of purchases continues for one year, it will own just under half of the index’s par value. Aaa ABS Though the spread is not quite as attractive as for Aaa non-agency CMBS, the spread on Aaa-rated consumer ABS is 115 bps wider since the end of 2019 (Chart 6). As with CMBS, this sector also benefits from TALF with an interest rate of OIS + 125 bps, and an even smaller haircut. Chart 6Buy Aaa Consumer ABS & Munis Municipal Bonds We also like the opportunity in municipal bonds. Spreads between Aaa-rated municipal bond yields and Treasuries have come down off their recent all-time highs but remain attractive compared to historical levels (Chart 6, bottom panel). The Fed’s Municipal Liquidity Facility (MLF) offers direct 2-year loans to state & local governments. This will provide a back-stop for municipal debt with a maturity of 2 years or less but will also help municipalities meet interest payments on longer-maturity bonds when they are due. Aaa-rated CMBS, both non-agency and agency-backed, meet our two criteria of offering attractive spreads and benefit­ing from Fed support. We would therefore advise investors to buy municipal bonds at both the short and long ends of the curve. We also do not rule out further Fed measures to support the municipal bond market in the coming weeks, possibly even secondary market bond purchases. The amount of Fed support for state & local governments so far is much less than what is being done for the corporate sector. There is also no convincing moral hazard argument against scaling-up support for investment grade rated munis, especially when the Fed is already supporting some parts of the high-yield corporate market. Investment Grade Corporates As mentioned above, the Fed is providing an exceptional amount of policy support to the investment grade corporate bond market, mainly through three facilities: The Secondary Market Corporate Credit Facility (SMCCF) that will purchase corporate bonds and ETFs in the secondary market. The Primary Market Corporate Credit Facility (PMCCF) that will purchase new bond issues in the primary market. The Main Street New and Expanded Lending Facilities (MSNLF & MSELF) that will purchase corporate loans from banks, removing them from bank balance sheets. All three of these facilities support the investment grade corporate bond market, and investment grade corporate spreads remain elevated compared to history across all credit tiers (Chart 7). Chart 7Buy Investment Grade Corporates Bottom Line: Investors should buy spread products that offer attractive spreads relative to history and that benefit from Fed support. We favor: Aaa non-agency CMBS, Agency CMBS, Aaa ABS, municipal bonds and investment grade corporate bonds. Have High-Yield Spreads Already Peaked? In the high-yield market we follow the same rules we applied in the previous section. We want to buy sectors that have attractive spreads and that benefit from Fed support. Within high-yield, the Ba credit tier meets these criteria as it offers an elevated spread and loans to Ba-rated issuers are eligible under the MSNLF and MSELF. The SMCCF will also purchase some high-yield ETFs and both the SMCCF and PMCCF will purchase securities that were recently downgraded to Ba from Baa. However, for the most part, securities rated B and below will not benefit from the Fed’s new facilities and thus will trade purely on fundamentals.4 This demarcation between securities rated Ba and above and those rated B and below is already showing up in excess returns. Since the Fed first announced corporate bond purchases on March 23, Ba-rated junk bonds have outperformed Treasuries by 16.88%, beating B-rated bonds (13.84%), Caa-rated bonds (9.53%) and the lowest Ca/C-rated credit tier (6.85%) (Table 1). Table 1Corporate Bond Performance Since Announcement Of Fed Purchases Assessing High-Yield Fundamentals Even without Fed support, lower-tier junk bonds are still worth buying if spreads provide adequate compensation for expected defaults. We assessed the likely magnitude of the looming default cycle in a recent Special Report.5 One main conclusion from that report is that, due to elevated corporate sector leverage, the recovery rate on defaulted debt will likely be low during the next 12 months – on the order of 20-25%. Second, based on the expected magnitude and duration of the current economic shock, we expect a significant surge in the speculative grade corporate default rate during the next 12 months, likely hitting a range of 9%-13%. Even without Fed support, lower-tier junk bonds are still worth buying if spreads provide adequate compensation for expected defaults.  With these default loss assumptions in hand, we can see what sort of buffer is priced into different high-yield credit tiers. Charts 8-10 show calendar-year excess returns for Ba, B and Caa-C high-yield credit tiers on the vertical axes. On the horizontal axes, the charts show the index spread at the start of the 12-month investment horizon less realized default losses over the course of the year.6 Chart 8Ba Default-Adjusted Spread Chart 9B Default-Adjusted Spread Chart 10Caa-C Default-Adjusted Spread We first observe that a Default-Adjusted Spread below 200 bps usually coincides with negative excess returns for all three credit tiers. In fact, for the Caa-C tier, we’d like to see a Default-Adjusted Spread above 500 bps before going long. Second, the green diamonds in all three charts identify likely outcomes for the next 12 months in three different default loss scenarios. The “Mild Scenario” is defined as a 6% speculative grade default rate and 25% recovery rate. The “Moderate Scenario” is defined as a 9% speculative grade default rate and 25% recovery rate. The “Severe Scenario” is defined as a 12% default rate and 25% recovery rate.7 Based on those choices, we’d place our base case default loss assumptions for the next 12 months somewhere between the Moderate and Severe scenarios. Charts 8-10 clearly show that, while Ba-rated issuers might still perform decently, the B-rated and below credit tiers are not priced at all for our base case default outlook. Note that this analysis does not consider Fed support in any way. Factoring that in, Ba-rated bonds look even better compared to bonds rated B and below. Bottom Line: We recommend an overweight allocation to Ba-rated high-yield corporates and an underweight allocation to high-yield bonds rated B and lower. Ba-rated bonds will benefit from Fed support and value in the B-rated and below credit tiers does not adequately compensate for likely default losses.    Ryan Swift US Bond Strategist rswift@bcaresearch.com Footnotes 1 Please see US Bond Strategy Weekly Report, “When And Where Will Bond Yields Trough?”, dated March 10, 2020, available at usbs.bcaresearch.com 2 For more details on why we recommend this yield curve positioning please see US Bond Strategy Weekly Report, “Life At The Zero Bound”, dated March 24, 2020, available at usbs.bcaresearch.com 3 Please see US Investment Strategy/US Bond Strategy Special Report, “Alphabet Soup: A Summary Of The Fed’s Anti-Virus Measures”, dated April 14, 2020, available at usbs.bcaresearch.com 4 As we noted in last week’s Special Report, some B-rated issuers will benefit from the MSELF. But this support is minor compared to what is being offered to securities rated Ba and higher. 5 Please see US Bond Strategy/Global Fixed Income Strategy Special Report, “Trading The US Corporate Bond Market In A Time Of Crisis”, dated March 31, 2020, available at usbs.bcaresearch.com 6  We use Ba and Caa-C default losses for those credit tiers. For B-rated bonds, we found that overall speculative grade default losses work slightly better than default losses for the B credit tier specifically. 7 We use historical correlations to translate overall speculative grade default rate assumptions into default rate assumptions for the Ba and Caa-C credit tiers. Fixed Income Sector Performance Recommended Portfolio Specification

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 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 Chart 2Dividends 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 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 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 Table 5The GFC S&P 500 GICS1 Sector Dividend Experience 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… Chart 4…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 Chart 6Past 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 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 Chart 9Rising 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? Chart 11Model 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 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).