Technology

Highlights For financials and energy to produce a sustained rally, there must be no relapse in global growth during the autumn and winter of 2020/21. However, with the coronavirus still in play and the usual flu and virus season yet to come, a key hurdle to overcome will be the physical reopening of schools and childcare facilities this September. Hence, for the time being, remain overweight healthcare and technology versus financials and energy. This implies underweight European stocks versus US stocks, and overweight Germany, France, Netherlands and Switzerland within Europe. Play good news in Europe by remaining long EUR, CHF, and SEK versus USD, and long US T-bonds and Spanish Bonos versus German Bunds and French OATs. Fractal trade: Short silver. Feature Chart Of The WeekDenmark's OMX Is At An All-Time High, While The FTSE 100 Is Languishing. Why? Once upon a time, the stock market existed as a barometer of the economy. Or at least, a good representation of the size and composition of profits in the host economy. But that time is long gone. Today, a tiny handful of companies are driving the performance of supposedly broad indexes such as the FTSE 100 and the S&P 500. Indeed, we should more accurately call the FTSE 100 the FTSE ‘10’ ignoring the other 90. And we should call the S&P 500 the S&P ‘5’ ignoring the other 495. Meaning that stock markets are no longer stock ‘markets’. Yet many analysts still try and explain the stock market’s performance through traditional top-down macro drivers such as GDP growth, profit margins across the host economy, and so on. The trouble is that when the stock market is dominated by a tiny handful of companies, this 20th century approach is doomed to fail. Today, we must take a more granular approach based on the type of companies that are dominating each stock market. Sector Concentration Is Driving Stock Markets The handful of companies that dominate each stock market tend to be the leaders in their global sector. This means that each stock market is defined by a sector concentration, which has often evolved by chance, based on where companies chose to start up and list. This sector concentration usually has little or no connection with the host economy. For example, Denmark’s OMX index is dominated by Novo Nordisk, a global biotech company. The FTSE 100 is heavily weighted to the oil majors Royal Dutch and BP as well as global bank HSBC, which have only a limited exposure to the UK economy. On the other side of the Atlantic, Apple, Microsoft, Amazon, Google and Facebook are massively over-represented in the S&P 500 compared with their contribution to the US economy. A crucial defining feature of a stock market turns out to be its exposure to healthcare and technology – whose profits are in major structural uptrends – versus the exposure to financials and energy – whose profits are in major structural downtrends (Charts 2 - 5). Chart I-2Healthcare Profits Are In A Structural Uptrend Chart I-3Technology Profits Are In A Structural Uptrend Chart I-4Financial Profits Are In A Structural Downtrend Chart I-5Energy Profits Are In A Structural Downtrend The stock market capitalisation in healthcare and technology stands at 52 percent for Denmark and 40 percent for the US, compared with just 20 percent for Europe and 12 percent for the UK. The flip side is that the stock market capitalisation in financials and energy stands at just 8 percent for Denmark and 11 percent for the US, compared with 21 percent for Europe and 30 percent for the UK. This explains, for example, why Denmark’s OMX is hitting all-time highs while the FTSE 100 is languishing (Chart of the Week). That said, the price of the growing stream of healthcare and technology profits can still fall if it is at an unjustifiably high level. And the price of the shrinking stream of financial and energy profits can still rise if it is at an unjustifiably low level. Hence, the key question is: what determines the prices of these two groups of sectors, one whose profits are in a major uptrend, the other whose profits are in a major downtrend? Healthcare And Tech Performance Hinges On The Bond Yield The price of a rapidly growing profit stream is weighted to the values of the large distant cashflows, making it highly sensitive to the discount rate applied to those distant cashflows. Whereas the price of a rapidly shrinking profit stream is weighted to the values of the large immediate cashflows, making it much more sensitive to the near-term evolution of the economy (Box I-1). Box I-1Bond Yield Sensitivity Versus Economic Sensitivity The upshot is that for stocks and sectors whose profits are in a major uptrend, the key driver of the price is the direction of the bond yield. Whereas for stocks and sectors whose profits are in a major downtrend, the key driver is the near-term direction of the world economy (Chart I-6 and Chart I-7). Chart I-6Exposure To Healthcare And Technology Determines Bond Yield Sensitivity Chart I-7Exposure To Financials And Energy Determines Economic Sensitivity Pulling all of this together, the rally in healthcare and technology stocks is extremely vulnerable to a sustained rise in the bond yield. But a sustained rise in the bond yield seems highly unlikely without a breakthrough vaccine or treatment for COVID-19. While the coronavirus is still in play, the long-term hollowing out and scarring in the jobs market will only become apparent in the coming months once furlough schemes and temporary relief programs end. This will force all central banks to remain ultra-dovish and where possible, become more dovish. Meanwhile, for financials and energy to produce a sustained rally, there must be no relapse in global growth during the autumn and winter of 2020/21. However, with the coronavirus still in play and the usual flu and virus season yet to come, a key hurdle to overcome will be the physical reopening of schools and childcare facilities this September. Hence, for the time being, remain overweight healthcare and technology versus financials and energy. This translates to underweight Europe versus the US. And overweight Germany, France, Netherlands and Switzerland within Europe. How To Play Good News In Europe Things have been going right in Europe. First, unlike in the US, the COVID-19 outbreak is subsiding, at least for now. New infections have been steadily declining through the warm summer months (Chart I-8). Chart I-8New Infections Declining In Europe, Rising In The US Second, the ECB has injected ample liquidity into the banking system which, combined with ultra-low interest rates, has permitted a strong expansion in bank lending. Though somewhat disappointingly, the bank lending surveys tell us that the loans are being used for emergency working capital requirements rather than investment. Third, the EU has approved a €750 billion Recovery Fund, over half of which will take the form of grants to the sectors and regions most stricken by the coronavirus crisis. Given that the fund will be financed by jointly issued EU bonds, this amounts to a fiscal transfer to the areas that need the most help. Hence, even if the amount of the stimulus may be smaller than in other parts of the word, it comprises a huge symbolic step towards greater unity in the EU and euro area. Still, despite this trifecta of good news, European stock markets have not outperformed (Chart I-9). This just emphasises that stock market relative performance has little connection with domestic economics and politics. To reiterate, stock market relative performance is almost always the result of the sector concentration of a handful of dominant stocks. Chart I-9Despite Good News In Europe, European Equities Are Not Outperforming Begging the question: how to play the continuation of good news in Europe? The answer is through the currency and fixed income markets, which have a much stronger connection with domestic economics and politics (Chart I-10 and Chart I-11). Chart I-10Play Good News In Europe Via European Currencies... Chart I-11...And Sovereign Yield Spread Tightening Remain long a basket of EUR, CHF, and SEK versus the USD. Our favourite cross out of these three is long CHF/USD given the haven character of the CHF in periods of market stress. To play bond yield convergence between the US and Europe and between core and periphery Europe, remain long US 30-year T-bonds and Spanish 30-year Bonos versus German 30-year bunds and French 30-year OATs.   Dhaval Joshi Chief European Investment Strategist dhaval@bcaresearch.com Fractal Trading System* The spectacular rally in silver is fractally fragile, and at a point which has signalled several trend reversals through the past five years. Accordingly, this week’s recommended trade is short silver, with the profit target and symmetrical stop-loss set at 12.5 percent. In other trades, long GBP/RUB achieved its profit target. Against this, short Germany versus UK and long bitcoin cash versus ethereum reached their stop-losses. Long nickel versus copper reached the end of its holding period in partial loss. The rolling 12-month win ratio now stands at 59 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. 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

Dear Client, Next Monday, July 20, we will be hosting our quarterly webcast, one at 10am EST for our US and EMEA clients and one at 9pm for our Asia Pacific, Australia and New Zealand clients; our regular weekly publication will resume on Monday July 27, 2020. Kind Regards, Anastasios Highlights A Democratic sweep would not prevent the stock market from grinding higher over the 12 months after the election. With this year’s massive stimulus, this cyclical view is reinforced. Whether Biden governs as a centrist or a left-winger will depend not on Biden’s preferences but on whether Republicans have a majority in the Senate to constrain the Democratic Party. But the party that wins the White House is highly likely to win the Senate in this cycle. Investors should expect Biden to govern from the left. A Biden presidency would lead to negative surprises on regulation, taxes, health care, trade, energy, and tech. Democrats would remove the Senate filibuster. Yet the macro agenda is reflationary. A blue trifecta would dent S&P 500 profit margins and take a bite out of EPS in 2022. Small caps will also likely suffer at the margin versus mega caps. While select Tech Titans are exposed to a blue sweep regulatory shock, the broad technology sector will prove to be more resilient especially compared with banks and health care equities. Feature Online political betting markets are still not fully pricing our “Blue Wave” scenario for the US election this year. The odds are closer to 50%-55% than 35%. Hence the equity market, especially the NASDAQ, is complacent about rising political risks to US equity sectors (Chart 1). The immediate risk to the rally is not politics but the pandemic, namely the COVID-19 resurgence in the United States, which is causing governors of major states like Texas, California, and Florida to slow down the economic reopening. The US’s failure to limit the spread of the virus has not yet led to a spike in deaths in aggregate, but it is leading to a spike in major states like Texas and Florida (Chart 2). Deaths are ultimately what matter to politicians and financial markets, since governments will not shut down all of society for less-than-lethal ailments. Fear will weigh on consumer and business confidence, including fear of a deadly second wave this winter. Near-term risks to the equity rally are elevated. Chart 1Blue Wave Expected, Equities Unconcerned Chart 2COVID-19 Outbreak Still A Risk Beyond this risk, the driver of the cyclical rally is the gargantuan monetary and fiscal stimulus – and more is on the way. President Trump wants another $2 trillion coronavirus relief package, while House Democrats already passed a $3 trillion package to demonstrate their election platform that government should take a greater role in American life. Senate Republicans (and reportedly Vice President Mike Pence) want a smaller $1 trillion bill but will capitulate in the face of a growing outbreak and any financial turmoil. Congress is highly likely to pass a new relief bill before going on recess on August 10. If COVID-19 causes another swoon in financial markets and the economy, then this congressional timeline will accelerate. America’s total fiscal stimulus for 2020 is rapidly approaching 20% of GDP, or 7% of global GDP (Chart 3). Thus it is understandable that the market has not reacted negatively to an impending blue wave election. Bipartisan reflation is overwhelming the Democratic Party’s market-negative agenda of re-regulation, tax hikes, minimum wage hikes, energy curbs, price caps, and anti-trust probes. Moreover the Democrats’ agenda also includes social and infrastructure spending, cheap immigrant labor, and less hawkish trade policy ex-China, which are all reflationary. Chart 3US Stimulus Greater Than Global – And Rising In short, over the next year, the US is not lurching from massive stimulus to a mid-term election that imposes budget controls and “austerity,” as occurred in 2010, but rather from massive stimulus to a likely Democratic sweep that will be fiscally profligate (Charts 4A & 4B). After all, Democrats are openly flirting with modern monetary theory. Chart 4ADeficits Would Soar Under Democrats Chart 4BDemocrats Would Be Ultra-Dovish On Fiscal Debt monetization is the big change, regardless of the election, which makes investors cyclically bullish. China is also bound to provide massive fiscal-and-credit stimulus because its first recession since the 1970s is threatening the Communist Party’s source of legitimacy (Chart 5). The European Union is uniting under a banner of joint debt issuance to fend off deflation. Bottom Line: Near-term risks to the exuberant post-lockdown rally abound, but the cyclical view remains constructive due to the ultimate policymaker stimulus put. Chart 5China Loosens Credit And Fiscal Taps Pre-Election Volatility And Post-Election Equity Returns Volatility normally rises ahead of US elections and it could linger in the aftermath given extreme polarization and the risk of vote recounts, contested results, Supreme Court interventions, and refusals by either candidate to concede. This is a concern in the short run but not the long run. US equities will grind higher over the long run regardless of the election outcome. Stocks normally rise by 10% in the 12 months after a presidential election that yields single-party control, though the upside is smaller and the initial downside is bigger than is the case with a gridlocked government (Chart 6, top panel). In cases of gridlock – which is virtually assured if Trump wins – the equity pullback after the election is just as deep but tends to be later in coming. On average stocks rise by the same amount after 12 months in either case (Chart 6, bottom panel). Thus political risks are primarily relevant in their regional or sectoral effects, though investors should take note that a Democratic sweep probably limits next year’s upside. Chart 6Equities Have Less Upside Under Democratic Sweep There are two likely scenarios. The first is the risk that President Trump makes a historic comeback and wins re-election, with Republicans retaining the Senate. Subjectively we put Trump’s odds at 35% though our quantitative model suggests they could be as high as 44%. The second scenario is our base case that the Democratic Party wins the Senate as well as the White House. In this scenario, the Democrats will prove more left-wing and anti-corporate than the market currently expects. Bottom Line: A Democratic sweep would not prevent the stock market from grinding higher over the 12 months after the election. With this year’s massive stimulus, this cyclical view is reinforced. However, history shows that a clean sweep limits the market’s upside risk. And full Democratic rule entails major political risks that have a regional and sectoral character. Biden And The Blue Wave Our expectation of a blue sweep is not based only in polling – which is uniformly disastrous for Trump as we go to press – but in the surge in unemployment. The basis for investors to view Biden as a risk-on candidate is driven by the macro and market views outlined above, not political fundamentals. From the political point of view, Biden may prefer to govern as a centrist, but victory in the Senate would remove constraints on his party’s domestic agenda. He would move to the left. Indeed, a Democratic sweep would mark a paradigm shift in domestic economic policy that is negative for corporate profits and the capital share of national income. It would unleash pent-up ideological and generational forces in favor of redistributing wealth and restructuring the economy. Progressivism would have the tendency to overshoot and create negative surprises for investors (Chart 7). Unlike 2008-10, when Republicans were last out of power, Republicans this time would be divided over Trump and populism and would be unlikely to recuperate as quickly. Chart 7Democratic Party Would Focus On Inequality Biden would end up governing to the left of the Obama administration, promoting Big Government while restricting Big Business and re-regulating Wall Street banks. A sharp leftward turn would be in keeping with the trend in the Democratic Party and the generational shift in the electorate (Chart 8). Only if Republicans pull off a surprise and keep the Senate despite losing the White House (~10% chance) would Biden be forced to govern as a true centrist. Even then Biden would oversee a large re-regulation of the economy through executive powers alone (Chart 9).1 Chart 8Generational Shift Favors Wealth Redistribution Chart 9Biden Would Re-Regulate The Economy Additional reasons to expect a left-wing policy overshoot:  · Presidents tend to succeed in passing their initial legislative priority after an election. This is incontrovertible when they control both chambers of Congress, as Obama showed in 2009 and Trump showed in 2017.2 · Biden will have huge tailwinds. He will not be launching a new agenda so much as restoring a policy status quo in most cases (laws and agreements that Trump either revoked or refused to enforce). He will also benefit from majority popular opinion and support of the bureaucracy and media (Chart 10). · Biden and the Democrats will be even more determined not to “let a good crisis go to waste” after having witnessed the Obama administration’s frustrations the last time the party took over in a sweeping victory on the back of a national disaster. · Democrats will not hesitate to use the budget reconciliation process to pass their first priority legislation with a mere 51 votes in the Senate. This is how Trump passed the Tax Cut and Jobs Act (TCJA). This is also how progressive stalwart Howard Dean believed the party should have passed a public health insurance option in 2009. This means Biden will be capable of increasing the corporate tax rate higher than 28%, pass a minimum 15% tax rate for corporations, and raise the capital gains tax and individual taxes. Chart 10Popular Opinion Would Boost Biden Administration · Contrary to consensus, Democrats are likely to remove the filibuster in the Senate – enabling bills to pass with a simple majority rather than the 60/100 votes required to close off debate. Yes, some moderate Democrats have already spoken out against “going nuclear” and changing such a critical norm. But populism and polarization are the driving forces in US politics today and we would advise investors not to bet heavily on “norms.” If Republicans prove capable of obstructing major legislative initiatives in the Senate, then Democrats, remembering obstructionism in the Obama years, will go nuclear to enact their progressive agenda. This would mark a massive increase in uncertainty for investors on everything from taxes to wages to anti-trust laws. Bottom Line: Whether Biden governs as a centrist or a left-winger will depend not on Biden’s preferences but on whether Republicans have a majority in the Senate to constrain the Democratic Party. But the party that wins the White House is highly likely to win the Senate in this cycle. Investors should expect Biden to govern from the left. If Republicans are obstructionist, Democrats will remove the filibuster. Biden’s Legislative Priorities First, Biden would seek to restore and expand the Affordable Care Act (Obamacare). The party has fixated on health care since 1992. Investors are complacent about Biden’s plan. A public health insurance option will be a major new progressive initiative that would undercut private health insurers over time (Chart 11). The bill will also impose caps on pharmaceutical prices and allow imports, reducing Big Pharma’s pricing power (Chart 12). Chart 11Health Insurers Will Be Undercut By Biden Public Option Investors are also complacent about taxation. Biden will pay for health care reform by partially repealing the Tax Cut and Jobs Act. He has proposed raising the corporate rate from 21% to 28%, but this could go higher and still fall well below the 35% that Trump inherited in 2017. Chart 12Big Pharma Faces Price Caps A rate above 28% would be a major negative surprise for financial markets and yet it is an obvious way for Democrats to raise much-needed revenue. Biden also intends to pass a 15% minimum tax that would hit large firms adept at paying lower effective taxes. Capital gains taxes and individual income taxes for high-earners could also rise by more than is expected (Table A1 in Appendix). Second, Biden will seek to offset the negative growth impact of falling stimulus and rising taxes by enacting large “Great Society” fiscal spending on infrastructure, the Green New Deal, education, and other non-defense discretionary spending (Table A2 in Appendix). Even defense spending will be largely kept flat due to rising geopolitical conflicts. As mentioned, this part of the agenda is reflationary, especially relative to a scenario in which fiscal largesse is normalized more rapidly by a Republican Senate. The redistribution effects would be marginally positive for household consumption, but marginally negative for corporate investment. On immigration, Biden will follow the Obama administration in pursuing a path to citizenship for “Dreamers” (illegal immigrants brought to the US as children) and taking executive action to allow more high-skilled workers and refugees, defer deportation of children and families, and reduce border security enforcement. There will be some constraints due to the risk of provoking another populist backlash, but comprehensive immigration reform is possible. This would be positive for potential GDP, agriculture, construction, and housing demand on the margin (Chart 13). On trade, Biden will have to steal some thunder back from Trump if he is to win the election and maintain the Rust Belt. He will concentrate his protectionist policy on China, while removing virtually all risk of a trade war with Europe, Mexico, or other partners. China may get a reprieve at first but Biden will ultimately prove hawkish (Chart 14). Investors are underrating the use of import duties to punish countries like China for carbon-intensive production. Chart 13Biden Lax Immigration Policy A Boon For Housing Biden will take a multilateral approach and restore international agreements that Trump revoked. Joining the Comprehensive and Progressive Trans-Pacific Partnership (CPTPP) is not a massive change given that even Trump agreed to trade deals with Canada, Mexico, and Japan. But it is marginally positive for the US-friendly trade bloc while contributing to the US economic decoupling from China (Chart 15). Chart 14Watch Out, Biden Won’t Be Too Dovish On China In Office! Chart 15Biden Eliminates Risk Of Global Trade War Ex-China On foreign policy, Biden will face the ongoing US-China cold war. He will also seek to restore the Iranian nuclear deal of 2015. The removal of Iran risk is positive for European companies with a beachhead in Iran as well as for the euro more generally, since regional instability ultimately threatens the EMU with waves of refugees (Chart 16). Chart 16Biden Removes Tail-Risk Of Iran War Bottom Line: A Biden presidency will lead to negative surprises on regulation, taxes, health care, trade, energy, and tech. But Biden’s agenda is mostly reflationary in other respects. Blue Wave Equity Market And Sector Implications The most profound implication of a blue sweep of government is an SPX profit margin squeeze that will weigh heavily on EPS. Importantly, there are two clear avenues through which net profit margins will suffer: An increase in the corporate tax rate. A rise in labor’s share of national income. As a reminder these are two of the four primary profit margin drivers we discussed in detail in our “Peak Margins” Special Report last October (Chart 17). The other two are selling price inflation and generationally low interest rates. Odds are high that all four drivers are slated to dent S&P 500 margins. With regard to corporate tax rates, the mirror image of the one time fillip that SPX EPS enjoyed in 2018, owing to Trump’s 1.2% increase in fiscal thrust that year, is a drop in S&P 500 profits given that a Biden presidency will boost the corporate tax rate from 21% to 28% or higher. In early-December 2017 we posited that SPX EPS would jump 14% on the back of that fiscal easing package, which is very close to what actually materialized. Chart 18 compares S&P 500 EBIT growth with S&P 500 net profit growth. The 2018 delta hit a zenith of 16%. Chart 17Profit Margin Drivers Chart 18Spot Trump's Tax Cut Assuming a blue wave, the opposite would happen, i.e. net profit growth would suffer an 11% one-time contraction according to our calculations (Table 1). The bill would pass in 2021 and take effect in 2022. Importantly, Table 1 reveals that the hardest hit GICS1 sectors are real estate, tech and health care, and the ones faring the best are consumer staples, industrials and energy. Table 1What EPS Hit To Expect? Table 2S&P 600/S&P 500 Sector Comparison Table The second way SPX margins undergo a squeeze is via climbing labor costs. Labor costs have been increasing since 2008/09 (labor’s share of income shown inverted, second panel, Chart 17), coinciding with the apex of globalization (third panel, Chart 17). A Biden presidency would also more than double the federal minimum wage to $15 per hour for all workers over six years. These policies would take a bite out of corporate profits by knocking down profit margins. While S&P 500 EPS maybe recover back to trend near $162 in 2021, they would gap lower in 2022 which is not at all priced in sell side analysts’ EPS expectations of $186. A blue sweep would produce some other US equity sore spots. Small caps would suffer disproportionately compared with their large cap brethren as would banks, health care, and parts of tech (see below). Chart 19 shows that according to the National Federation of Independent Business (NFIB) survey, small and medium enterprise (SME) owners grew extremely concerned about higher taxes and red tape by the end of the Obama presidency. When President Trump got elected, he cut back these fears drastically. Today concerns about taxes and regulation are probing multi-decade lows, which implies that SMEs are not prepared for the regulatory shock that a Biden administration has in store for them (Chart 19). These small business concerns will resurface with a vengeance if there is a blue sweep this November. The implication is that at the margin small caps would underperform their large cap peers, especially given that small cap indexes sport 1.5x the financials sector market cap weight compared with the SPX (Table 2). Bottom Line: A blue trifecta would dent S&P 500 profit margins and take a bite out of EPS in 2022. Small caps will also likely suffer at the margin versus mega caps as they will have to vehemently contend with rising red tape and taxes. Chart 19Re-Regulation Will Weigh On Small Business Sentiment Historical Parallel Of Blue Sweeps And Select Sector Performance A more detailed discussion on banks, health care, and technology sectors is in order, as they are the likeliest candidates to be at the forefront of Biden’s regulatory, wage, and tax policies. There are two recent episodes when US presidential elections resulted in a blue sweep, namely in 1992 and 2008. Both times, Democrats took control of both chambers of Congress and the White House but eventually surrendered this trifecta two years later during the 1994 and 2010 mid-term elections.3 Charts 20 & 21highlight the S&P banks, S&P health care, and S&P IT sectors’ performance during the last two blue waves. In both cases, banks remained flat to down; health care equities went down sharply; while tech stocks had mixed results. Tech took off in 1993-1994, but remained flat in 2009-2010 (excluding the recovery rally off the recessionary trough). Armed with this general roadmap, we now dive deeper into each of these three sectors for a more detailed discussion. Chart 20Not Everyone Is A Fan... Chart 21...Of The Blue Sweeps Banks Face High Risk Of Re-Regulation There is little doubt that Biden will re-regulate Wall Street, especially after the recent COVID-19-related watering down of the Dodd-Frank Act. Big banks are popular scapegoats. In fact, Biden already moved to the left on bankruptcy reform by adopting Massachusetts Senator Elizabeth Warren’s progressive proposal after a long drawn-out battle over this issue between them. Both of the earlier blue wave elections proved challenging for the banking sector. In addition, banks are already under pressure from the recent Fed stress tests. There are high odds that a number of banks will further cut or suspend dividend payments in coming quarters in line with the Fed’s guidance, especially if profits take a big hit, as we expect. Currently, the market is underestimating the Biden threat to the banking sector as a substantial divergence has materialized between the banks’ relative performance and the blue sweep probability series (Chart 22). As the election draws closer, a repricing in the banking sector is likely looming. Chart 22Mind The Divergence Health Care Stands To Lose The Most From A Blue Sweep The health care sector was the only sector we analyzed that clearly underperformed in both 1992 and 2008 blue waves. Health care reform will be Biden’s top priority, as outlined above. Biden will also go after pharma manufacturers. As a reminder, while Medicare has substantial bargaining power with hospitals and other drug providers due to the number of Americans enrolled, it has no leverage when it comes to pharma manufacturers leaving them free to set prices at will. Biden intends to end such practices, enabling Medicare to bargain for prices. He also wants to link the rise in drug prices to inflation and allow foreign imports. These actions will put a cap on pharma manufacturers’ pricing power. Importantly, the S&P pharmaceuticals index is the dominant player within the S&P health care universe comprising 29% of the entire health care sector. A direct hit to pharma earnings will be a hard pill to swallow, especially if the S&P biotech index (comprising 17% of the S&P health care market cap weight) is included that are similar to Big Pharma as they manufacture blockbuster drugs. In fact, as the American electorate is getting more interested in Biden’s campaign, the market is pricing in a tougher environment for US pharmaceuticals (Chart 23). Markets can rely on the fact that Biden has rejected a single-payer government health system (“Medicare For All”) – this policy position helped him beat Vermont Senator Bernie Sanders for the Democratic nomination. However, he is proposing a public insurance option, which will have the ability to absorb losses indefinitely and will have the insurance regulators at its side. Thus private health insurers will be undercut. Chart 23Beginning Of The End A public option is also seen even by promoters as a “Trojan Horse” that will increase the odds that Democrats will move toward a single-payer system in 2024 or thereafter. Thus the risk/reward ratio skews further to the downside for the S&P health care sector. Will Technology Escape Unscathed? In the wake of COVID-19, and facing geopolitical competition in cyber space, a Biden administration will also seek a much stronger regulatory handle on Big Tech. Social media companies are already buttering up to the Democrats to ensure that Biden maintains the Obama administration’s alliance with Silicon Valley and does not pursue extensive anti-monopoly and anti-trust investigations. Yet the tech sector cannot avoid heightened scrutiny due to its conspicuous gains in the midst of an economic bust – this is what normally prompts anti-trust actions (Chart 24). The Democrats will pursue probes into data privacy and excessive market concentration and will demand stricter patrolling of the ideological space in battles that will be adjudicated by the courts. Chart 24How Much Is Too Much? Should the monopolistic tech stocks – including FB and GOOGL, which are now classified under the GICS1 S&P communication services index – be forced to sell their crown jewel assets, then a hit to earnings is a given. The S&P technology sector plus FB & GOOGL commands more than one third on the SPX index, meaning that a dent in tech earnings will have negative ramifications for the entire market. In previous research, we drew a parallel with the chemicals industry and the regulatory shock that came in 1976 when the Toxic Substance Control Act (TSCA) was introduced.The bill pushed chemical stocks off the cliff as investments in the index became dead money for a whole decade – until 1985 when chemicals finally troughed (Chart 25) In the near future, a similar shock might come as a result of privacy-related regulation. A series of anti-monopoly or anti-trust probes, whether by the US or the EU, would make investors cautious about their tech exposure. While the probes may not result in a break-up, the heightened uncertainty would dampen the allure of tech stocks. The pattern of anti-trust probes in US history is that a probe first causes a selloff in the stock of the company investigated; then another selloff occurs when it is clear that a break-up is a real option under consideration; then a buying opportunity emerges either when the company is cleared or when the long dissolution process is completed. Bottom Line: While select Tech Titans are exposed to a blue sweep regulatory shock, the broad technology sector will prove to be more resilient especially compared with banks and health care equities. Chart 25Will History Rhyme?     Matt Gertken Geopolitical Strategist mattg@bcaresearch.com Anastasios Avgeriou US Equity Strategist anastasios@bcaresearch.com Arseniy Urazov Research Associate arseniyu@bcaresearch.com   Appendix Table A1Biden Would Raise $4 Trillion In Revenue Over Ten YearsTable A2Biden Would Spend $6 Trillion In Programs Over Ten Years   Footnotes 1     Republicans have 13 Senate seats at risk this cycle while Democrats have only four. More conservatively, Republicans have nine at risk while Democrats have two. Opinion polling has Democrats leading in seven out of nine top races, and tied in the other two – including states like Kansas where Democrats should have zero chance. Most of these races are tight enough that they will hinge on whether the election is a referendum on Trump. If so, Democrats will likely win the net three seats they need to control the chamber. Most likely they will have a 51-49 majority if Biden wins, though a 52-48 balance is possible.   2     The Republican failure to repeal and replace Obamacare in 2017 but success in passing the Tax Cuts and Jobs Act reflects the fact that political constraints are higher on taking away an entitlement than they are on giving benefits (tax cuts). 3    As noted above, however, investors today cannot be assured that Republicans will come roaring back in 2022 to impose constraints. Trump’s populism threatens to divide the party if he loses and delay its ability to regroup and recover.  

Bob Farrell famously remarked “Markets are strongest when they are broad and weakest when they narrow to a handful of blue-chip names.” This could not be truer than today’s market, especially the NASDAQ. Not only are the top five SPX stocks comprising roughly 23% of the index, but the same five tech titans carry a 40% weight in the NASDAQ composite. This seems excessive and carries a lot of risk in case of even a mild disappointment. True, the collapse in interest rates has boosted the NASDAQ forward P/E to the stratosphere, but the longer these high flying stocks defy gravity the more painful the eventual snap will be (bottom panel). Already there are tentative signs of trouble brewing beneath the surface. NASDAQ breadth is sinking like a stone and this has proven a reliable leading indicator in the recent past, warning that a pullback is looming (top panel). Finally, the hypersensitive chip stocks are suffering from exhaustion, unable to outperform the tech titan led NASDAQ (middle panel). Any hiccups in the tech space will negatively reverberate in the SPX: currently the S&P tech sector plus the FANG (FB, AMZN, NFLX & GOOGL) comprise 40% of the S&P 500. Thus as tech goes so does the SPX. Bottom Line: We remain cautious on the near-term prospects of the S&P 500 until the election uncertainty lifts in November.    

Highlights The economic performance of Sweden, which did not have a lockdown, has been almost as bad as Denmark, which did have a lockdown. This proves that the current recession is not ‘man-made’, it is ‘pandemic-made’. While the pandemic remains in play, investors should maintain a defensive bias to their portfolios: favouring US T-bonds in bond portfolios, and technology and healthcare in equity portfolios. The technology sector has become defensive, largely because it has flipped from hardware dominance to software dominance. A new recommendation is to overweight technology-heavy Netherlands. Fractal trade: short AUD/CHF. Feature Chart I-IASweden: Avoiding A Lockdown Did Not Prevent A Slump In Consumption... Chart I-1B...But Led To Many More ##br##Infections Sweden and Denmark are neighbours. They speak near-identical languages and share a broadly similar culture and demographic. Yet the two countries have followed completely different strategies to halt the coronavirus pandemic. Sweden chose not to impose a lockdown. Instead, it opted for a ‘trust based’ approach, relying on its citizens to act sensibly and appropriately. Whereas Denmark imposed one of Europe’s earliest and most draconian lockdowns. The contrasting approaches of Sweden and neighbouring Denmark provide us with the closest thing to a controlled experiment on pandemic strategies. The Recession Is Not ‘Man-Made’, It Is ‘Pandemic-Made’ The surprising thing is that the economic performance of Sweden, which did not have a lockdown, has been almost as bad as Denmark, which did. This year, the unemployment rates in both economies have surged by 2 percentage points (albeit the latest data is for May in Sweden and April in Denmark). Furthermore, high-frequency measures of consumption show that Sweden suffered almost as severe a contraction as Denmark (Chart of the Week and Chart I-2). Chart I-2Unemployment Has Surged In Both No-Lockdown Sweden And Lockdown Denmark This surprising result challenges the popular view that this global recession is man-made. This view argues that without the government-imposed lockdowns, the global economy would not have entered a tailspin. But if this view is right, then why did consumption crash in Sweden? The simple answer is that in a pandemic, most people will change their behaviour to avoid catching the virus. The cautious behaviour is voluntary, irrespective of whether there is no lockdown, as in Sweden, or there is a lockdown, as in Denmark. People will shun public transport, shopping, and other crowded places, and even think twice about letting their children go to school. In a pandemic, the majority of people will change their behaviour even without a lockdown. But if the cautious behaviour is voluntary, then why impose a lockdown? The answer is that without a lockdown, the majority will behave sensibly to avoid catching the virus, but a minority will take a ‘devil may care’ attitude. In the pandemic, this is critical because less than 10 percent of infected people are responsible for creating 90 percent of all coronavirus infections. If this tiny minority of so-called ‘super-spreaders’ is left unchecked, then the pandemic will let rip. All of which brings us back to Sweden versus Denmark.  As a result of not imposing a mandatory lockdown to rein in its super-spreaders, Sweden now has one of the world’s worst coronavirus infection and mortality rates, four times higher than Denmark (Chart I-3, Chart I-4, Chart I-5). Chart I-3No-Lockdown Sweden Has Suffered Many More Deaths Than Lockdown Denmark Chart I-4Avoiding A Lockdown Meant More Infections… Chart I-5…And More ##br##Deaths Put simply, containing the pandemic depends on reining in a minority of super-spreaders. Which explains why no-lockdown Sweden suffered a much worse outbreak of the disease than lockdown Denmark. In contrast, the economy depends on the behaviour of the majority. In a pandemic the majority will voluntarily exercise caution. Which explains why no-lockdown Sweden and lockdown Denmark suffered similar contractions in consumption. Looking ahead, will the widespread adoption of face masks and plexiglass screens change the public’s cautious behaviour? To a certain extent, yes – it will permit essential activities and let people take calculated risks. That said, if you are forced to wear a mask on public transport and in the shops, and you have to spread out in restaurants while being served by a masked waiter, then – rightly or wrongly – you are getting a strong signal: the danger is still out there. Meaning that many people will continue to shun discretionary activities and spending. The upshot is that while the pandemic remains in play, investors should maintain a defensive bias to their portfolios. Explaining Why Technology Is Now Defensive A defensive bias to your portfolio now requires an exposure to technology – because in 2020 the tech sector is behaving like a classic defensive. Its relative performance is correlating positively with the bond price, like other classic defensive sectors such as healthcare (Chart I-6 and Chart I-7). Chart I-6In 2020, Tech Is Behaving Like A Defensive... Chart I-7...Like Healthcare The behaviour of the technology sector in the current recession contrasts with its performance in the global financial crisis of 2008. Back then, it behaved like a classic cyclical – its relative performance correlated negatively with the bond price (Chart I-8). Begging the question: why has the tech sector’s behaviour flipped from cyclical to defensive? Chart I-8In 2008, Tech Behaved Like A Cyclical The main reason is that the tech sector’s composition has flipped from hardware dominance to software dominance. In 2008, the sector market cap had a 65:35 tilt to technology hardware. But today, it is the mirror-image: a 65:35 tilt to computer and software services (Chart I-9). Chart I-9Tech Is More Defensive Now Because It Is Dominated By Software Computer and software services have many defensive characteristics suited to the current environment: For many companies, enterprise software is now business critical. It is a must-have rather than a like-to-have. Computer and software services use a subscription-based revenue model, minimising the dependency on discretionary spending. Computer and software services are helping firms to cut costs through automation and back-office efficiencies as well as facilitating the boom in ‘working from home’. The sector is cash rich. Despite these defensive characteristics, there remains a lingering worry: is the tech sector overvalued? The Rally In Growth Defensives Is Not A Mania  Some people fear that the recent run-up in stock markets does not make sense, other than as a ‘Robin Hood’ day-trader fuelled mania. After all, the pandemic is still very much in play, and so are other geopolitical risks, so how can some stock prices be near all-time highs? Yet the recent run-up in growth defensives such as tech and healthcare does make sense. Their valuations have moved in near-perfect lockstep with the bond yield, implying that the rally is based on fundamentals (Chart I-10). Chart I-10Tech And Healthcare Valuations Are Tracking The Bond Yield Simply put, if the 10-year T-bond is going to deliver a pitiful 0.7 percent a year over the next decade, then the prospective return from growth defensives must also compress. It would be absurd to expect these stocks to be priced for high single digit returns. Since late 2018, the decline in growth defensives’ forward earnings yield has broadly tracked the 250bps decline in the 10-year T-bond yield. Given that the forward earnings yield correlates well with the 10-year prospective return, the depressed bond yield is depressing the prospective return from growth defensives – as it should. Tech and healthcare valuations have moved in near-perfect lockstep with the bond yield. But with the pandemic and geopolitical risks menacing in the background, shouldn’t the gap between the prospective return on stocks and bonds – the equity risk premium – be larger? This is open to debate. When bond yields approach the lower bound, the appeal of owning bonds also diminishes because bond prices have limited upside. Nevertheless, the gap between the tech and healthcare forward earnings yield and the bond yield has gone up this year and is much larger than in 2018 (Chart I-11). This suggests that valuations are taking some account of the pandemic and other risks. Moreover, in a longer-term perspective the current gap between the tech and healthcare forward earnings yield and the bond yield, at +4 percent, hardly indicates a mania. In the true mania of 2000, the gap stood at -4 percent! (Chart I-12) Chart I-11The Equity Risk Premium Has Risen In 2020 Chart I-12Tech And Health Care Valuations Are Not In A Mania In summary, until the pandemic is conquered, investors should maintain a defensive bias to their portfolios. Bond investors should overweight US T-bonds versus core European bonds. Equity investors should overweight the growth defensives, technology and healthcare, which implies overweighting the technology-heavy US versus Europe. A new recommendation is to overweight technology-heavy Netherlands. Stay overweight healthcare-heavy Switzerland, and bank-light France and Germany (albeit expect a technical 5 percent underperformance of Germany versus the UK in the coming weeks). And stay underweight bank-heavy Austria. Fractal Trading System* The AUD is technically overbought and vulnerable to a tactical reversal. Accordingly, this week’s recommended trade is short AUD/CHF, with a profit target and symmetrical stop-loss set at 4.2 percent. The rolling 1-year win ratio now stands at 63 percent. Chart I-13AUD/CHF 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

China became the world’s number one source of Patent Cooperation Treaty (PCT) patent applications last year. China is the world’s innovation leader in such areas as digital communications, computer technology, audio-visual technology and telecommunications.

Highlights Treasuries: Keep portfolio duration close to benchmark on a 6-12 month horizon, but continue to hold tactical overlay positions that will profit from modestly higher bond yields: Overweight TIPS versus nominal Treasuries, hold duration-neutral nominal curve steepeners, hold real yield curve steepeners. IG Tech: Given our positive outlook for investment grade corporate bond spreads, the Technology sector’s high credit rating and defensive characteristics make it decidedly un-compelling. However, Tech spreads are attractive compared to other A-rated corporate bonds. HY Tech: We want to focus our high-yield allocation on defensive sectors where a large proportion of issuers are able to benefit from Fed support. The high-yield Technology sector checks both of those boxes and offers attractive risk-adjusted compensation to boot. Feature Chart 1Three Treasury Trades As we have previously written, bond yields should move modestly higher over the course of the summer as the US economy re-opens.1 However, there are enough potential medium-term pitfalls related to US politics and COVID transmission that we aren’t yet comfortable with below-benchmark portfolio duration. Instead, we recommend that investors keep portfolio duration close to benchmark on a 6-12 month horizon, but add three tactical overlay positions that will profit from higher bond yields: Overweight TIPS versus nominal Treasuries Duration-neutral nominal Treasury curve steepeners Real yield curve steepeners All three of these positions have performed well during the past couple of months (Chart 1), and in the first section of this report we assess whether they have further to run. The remaining two sections of this week’s report consider the outlooks for investment grade and high-yield Technology bonds, respectively. Three Trades To Profit From Higher Yields 1) Overweight TIPS Versus Nominals Chart 2Adaptive Expectations Model TIPS breakeven inflation rates have moved up considerably since mid-March. Back then, the 10-year TIPS breakeven rate troughed at 0.50%. It currently sits at 1.31%. Despite the large move, TIPS breakeven inflation rates still have a considerable amount of upside. One way to assess how much is through the lens of our Adaptive Expectations Model (Chart 2).2 This model considers several different measures of inflation expectations (based on realized CPI inflation and surveys) and uses the difference between those measures of inflation expectations and the 10-year TIPS breakeven inflation rate to forecast the future 12-month change in the 10-year TIPS breakeven. At present, the model forecasts that the 10-year TIPS breakeven inflation rate will rise 23 bps during the next 12 months, bringing it to 1.54%. It’s important to note that our model is biased towards measures of longer-run inflation expectations. As a result, it can be surprised from time to time by large fluctuations in drivers of short-term inflation expectations, like the oil price. This year’s massive drop in oil – and concurrent decline in headline inflation – were the main factors that caused the 10-year TIPS breakeven inflation rate to fall so far below our model’s fair value. However, as we discussed in last week’s report, the oil price looks to have troughed and there is preliminary evidence that we might also be past the lowest point for headline CPI.3 Profit from rising bond yields by entering a duration-neutral yield curve steepener. We see TIPS continuing to outperform nominal Treasuries over both short- and long-run horizons. 2) Duration-Neutral Yield Curve Steepeners Chart 3Stick With Steepeners Another way to profit from rising bond yields without taking a large duration bet is via a duration-neutral yield curve steepener. One example would be a long position in the 5-year note and a short position in a duration-matched barbell consisting of the 2-year and 10-year notes. Alternatively, you could use the 2-year note and 30-year bond as the two legs of the barbell. These sorts of duration-matched trades where you take a long position in a bullet maturity near the middle of the curve and go short the wings are designed to perform well in periods of yield curve steepening.4  In the current environment, where dovish Fed guidance has dampened volatility at the front-end of the yield curve, any bond sell-off will be felt disproportionately at the long-end, leading to a steeper curve. The only problem with this proposed trade is that it is no longer cheap. The spread between the 5-year bullet and 2/10 barbell is -6 bps and the spread relative to the 2/30 barbell is -3 bps (Chart 3). What’s more, the 5-year bullet trades expensive relative to the 2/10 and 2/30 barbells, according to our fair value models (Chart 3, bottom panel). However, for the time being we are inclined to overlook stretched valuations. The 5-year bullet does appear expensive but it has been more expensive in the past, most notably during the last zero-lower-bound episode from 2010 to 2013. Similar to then, the market is now priced for an extended period of a zero fed funds rate. We would not be surprised to see bullets become much more expensive in that sort of environment, and possibly even return to extended 2010-2013 valuations.   We recommend holding onto duration-neutral yield curve steepeners, despite unattractive valuations. Specifically, we favor going long the 5-year bullet and short a duration-matched 2/10 barbell. 3) Real Yield Curve Steepeners Chart 4Higher Inflation Means Steeper Real Yield Curve The final position we recommend is a steepener along the real yield curve. We first recommended this trade on April 28 when a plunge in oil (and spike in deflationary sentiment) caused the real 2-year yield to jump to 0.28% compared to a real 10-year yield of -0.70%.5 Since then, the real 2-year yield has collapsed to -1% compared to a real 10-year yield of -0.87%. Although the real 2-year/10-year slope is once again positive, it has typically been higher during the past few years (Chart 4). We therefore expect further steepening as long as the oil price and headline inflation continue to recover from April’s lows. Much like during the 2008/09 financial crisis, the combination of the Fed’s zero-lower-bound forward guidance and a massive drop in both oil and headline inflation caused short-dated real yields to jump. Subsequently, this led to a massive steepening of the real yield curve, once the oil price and headline inflation started to recover. We believe that same dynamic is playing out today. Investors should continue to hold real yield curve steepeners, at least until rebounding oil and headline CPI return short-dated inflation expectations to more reasonable levels. Investment Grade Tech Risk Profile Technology accounts for 9% of the overall Bloomberg Barclays investment grade corporate index, which makes it the second biggest industry group, after Banking. Its large index weight is due to the presence of three tech giants: Microsoft (Aaa-rated), Apple (Aa-rated) and Oracle (A-rated) which, combined, constitute 38% of the Tech sector.  Investment grade Technology is a highly defensive corporate bond sector. In sharp contrast with the equity market, Technology is a highly defensive corporate bond sector. That is, it tends to outperform the overall corporate bond index during periods of spread widening and underperform during periods of spread tightening. This largely comes down to the fact that Tech has a higher credit rating than the overall corporate index. Twenty five percent of the Tech sector’s market cap carries a Aaa or Aa rating compared to just 9% for the overall index (Chart 5). Further, of the high-flying FAANG stocks that garner a lot of attention from equity analysts, only Apple is a significant presence in the Technology bond index.6 Chart 5Investment Grade Credit Rating Distributions* Chart 6IG Technology Risk ##br##Profile The Tech sector’s defensive nature is confirmed by looking at its duration-times-spread (DTS) ratio and historical excess returns (Chart 6).7 The sector’s DTS ratio is consistently below 1.0, and its excess returns show a clear pattern of outperformance during periods of spread widening and underperformance during periods of spread tightening. Valuation In terms of valuation, although the Tech sector does not offer a spread advantage over the corporate index – which should be expected given its higher credit rating – we find that it trades cheap relative to its comparable credit tier (Table 1). Tech offers an option-adjusted spread of 115 bps versus 111 bps for the A-rated corporate index, and the sector still appears attractive after controlling for duration differences by looking at the 12-month breakeven spread. In absolute terms, Tech sector spreads are just above their median since 2010. The A-rated corporate index spread currently sits right on top of its post-2010 median. Table 1IG Technology Valuation Balance Sheet Health Chart 7IG Technology Debt Growth The Technology sector added a large amount of debt during the last recovery. The par value of the Tech index’s outstanding debt has grown 5.2 times since 2010 compared to 2.4 times for the benchmark. As a result, Tech’s weight in the corporate index has more than doubled, from 4% to 9% (Chart 7). However, earnings have done a pretty good job of keeping pace with the large increase in debt. The market cap-weighted net debt-to-EBITDA ratio for the investment grade Tech index is only 2.4, and the sector’s average credit rating has been stable since 2010. At the individual issuer level, there are 58 issuers in the Tech index and only 4 currently have a negative ratings outlook from Moody’s (Appendix B). What’s more, of the 16 Tech sector ratings that Moody’s has reviewed this year, 12 have been affirmed with a stable outlook, 1 was assigned a positive outlook and only 3 were assigned negative outlooks. Macro Considerations Chart 8Technology Sector Macro Drivers The Tech sector can be split into three major segments that have distinct macro drivers: Software (26% of Tech index market cap, includes Microsoft and Oracle) Hardware (29% of Tech index market cap, includes Apple, IBM and Dell) Semiconductors (24% of Tech index market cap, includes Intel and Avago Technologies) Software investment has been in a structural bull market for many years, and should remain resilient during the COVID recession as demand for remote working solutions increases. While we only have data through the end of March, software investment did not see the same collapse as other sectors during the first quarter (Chart 8). The Hardware and Semiconductor segments are more cyclical and geared toward manufacturing. As such, their macro outlooks were already challenged pre-COVID, due to the US/China trade war and manufacturing downturn of 2019. Both US computer exports and global semiconductor sales were showing signs of life near the end of last year, but were decimated when the pandemic struck in 2020 (Chart 8, panels 3 & 4). A revival in this space is contingent upon continued gradual re-opening and a return to economic growth. More optimistically, US consumer spending on personal computers and peripheral equipment has not fallen as much as broad consumer spending during the past few months (Chart 8, bottom panel). In the long-run, the 5G smartphone rollout is a significant structural tailwind for both semiconductor issuers and Apple. Meanwhile, the threat of significant regulatory crackdown on Tech firms remains a long-run risk. Our sense is that any push toward stricter regulations won’t have that much impact on Technology bond returns. This is because the subjects of most lawmaker scrutiny – Facebook, Amazon and Google – are largely absent from the Bloomberg Barclays Tech index. Investment Conclusions We expect that investment grade corporate bond spreads will tighten during the next 6-12 months. Against this positive back-drop, investors should focus exposure on cyclical (lower-rated) sectors that offer greater expected returns. With that in mind, the Tech sector’s high credit rating and defensive characteristics make it decidedly un-compelling. However, Tech does offer a slight spread advantage compared to other A-rated bonds and the macro back-drop is reasonably supportive. We would therefore recommend Tech bonds to investors looking for some A-rated corporate bond exposure. But in general, we prefer the greater spreads on offer from sectors that occupy the high-quality Baa space, such as subordinate bank debt.8 High-Yield Tech Risk Profile High-Yield Technology’s credit rating profile is similar to that of the overall benchmark, but with a slightly larger presence of low-rated (Caa & below) issuers (Chart 9). The largest issuers in the space are Dell (5.7% of Tech index market cap, Ba-rated), MSCI Inc. (5.1% of Tech index market cap, Ba-rated, see copyright declaration) and CommScope (8.1% of Tech index market cap, B-rated). High-yield Tech recently transitioned from being a cyclical sector to a defensive one. Interestingly, the high-yield Tech sector recently transitioned from being a cyclical sector to a defensive one. The sector behaved cyclically during the 2008 recession, underperforming the index when spreads widened and outperforming when they tightened. But Tech then outperformed the High-Yield index during the spread widening episodes of 2015 and 2020. Based on the sector’s low DTS ratio, this defensive behavior should persist for the next 12 months (Chart 10). Chart 9High-Yield Credit Rating Distributions* Chart 10HY Technology Risk Profile Valuation The High-Yield Technology option-adjusted spread (OAS) is significantly lower than the average OAS for the benchmark High-Yield index. However, it offers a spread premium compared to other Ba-rated issuers (Table 2). Adjusting for duration differences by looking at the 12-month breakeven spread makes high-yield Tech look significantly more attractive. The high-yield Tech spread would have to widen by 146 bps for the sector to underperform duration-matched Treasuries during the next 12 months. This compares to 96 bps for other Ba-rated issuers and 152 bps for the overall junk index. Table 2HY Technology Valuation It is apparent that the Tech sector’s low average duration (Chart 10, bottom panel) is a major reason for its relatively tight OAS. On a risk-adjusted basis, high-yield Tech valuation actually appears quite compelling, with a 12-month breakeven spread only 6 bps below that of the overall index. Balance Sheet Health Chart 11HY Technology Debt Growth The amount of outstanding high-yield Technology debt has grown a bit more rapidly than overall junk index debt since 2010 (Chart 11). As a result, Technology’s weight in the index has increased from 5% in 2010 to 6% today. At the issuer level, the Tech sector should benefit from having a large number of issuers that will be able to take advantage of the Fed’s Main Street Lending facilities. To be eligible for the Main Street facilities, issuers must have less than 15000 employees or less than $5 billion in 2019 revenue. Also, the issuers must be able to keep their Debt-to-EBITDA ratios below 6.0, including any new debt added through the Main Street programs. Of the 43 high-yield Tech issuers with available data, we estimate that 30 are eligible to receive support from the Main Street facilities (Appendix C). This even includes 11 out of the 16 B-rated issuers. Typically, we don’t expect that many B-rated issuers will be eligible for the Main Street facilities, which makes this result encouraging for Tech sector spreads. Investment Conclusions We recommend an overweight allocation to high-yield Technology bonds. As we wrote last week, high-yield spreads appear too tight if we ignore the impact of the Fed’s emergency lending facilities and consider only the fundamental credit back-drop.9 With that in mind, we want to focus our high-yield allocation on defensive sectors where a large proportion of issuers able to benefit from Fed support. The Technology sector checks both of those boxes and offers attractive risk-adjusted compensation to boot. Appendix A: Buy What The Fed Is Buying The Fed rolled out a number of aggressive lending facilities on March 23. These facilities focused on different specific sectors of the US bond market. The fact that the Fed has decided to support some parts of the market and not others has caused some traditional bond market correlations to break down. It has also led us to adopt of a strategy of “Buy What The Fed Is Buying”. That is, we favor those sectors that offer attractive spreads and that benefit from Fed support. The below Table tracks the performance of different bond sectors since the March 23 announcement. We will use this to monitor bond market correlations and evaluate our strategy’s success. Table 3Performance Since March 23 Announcement Of Emergency Fed Facilities Appendix B Table 4Investment Grade Technology Issuers Appendix C Table 5High-Yield Technology Issuers   Ryan Swift US Bond Strategist rswift@bcaresearch.com Jeremie Peloso Senior Analyst jeremiep@bcaresearch.com Footnotes 1 Please see US Bond Strategy Weekly Report, “Bonds Vulnerable As North America Re-Opens”, dated May 26, 2020, available at usbs.bcaresearch.com 2 For more details on our Adaptive Expectations Model please see US Bond Strategy Weekly Report, “How Are Inflation Expectations Adapting?”, dated February 11, 2020, available at usbs.bcaresearch.com 3 Please see US Bond Strategy Weekly Report, “No Holding Back”, dated June 16, 2020, available at usbs.bcaresearch.com 4 For an explanation of why this works please see US Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com 5 Please see US Bond Strategy Weekly Report, “Negative Oil, The Zero Lower Bound And The Fisher Equation”, dated April 28, 2020, available at usbs.bcaresearch.com 6 Of the other FAANG stocks: Google accounts for just 0.5% of Tech bond sector market cap, Facebook has close to no debt, Amazon is included in the Consumer Cyclical corporate bond index and Netflix is included in the Media: Entertainment sector of the High-Yield index. 7 Duration-Times-Spread (DTS) is a simple measure that is highly correlated with excess return volatility for corporate bonds. The DTS ratio is the ratio of a sector’s DTS to that of the benchmark index. It can be thought of like the beta of a stock. A DTS ratio above 1.0 signals that the sector is cyclical (or “high beta”), a DTS ratio below 1.0 signals that the sector is defensive or (“low beta”). For more details on the DTS measure please see: Arik Ben Dor, Lev Dynkin, Jay Hyman, Patrick Houweling, Erik van Leeuwen & Olaf Penninga, “DTS (Duration-Times-Spread)”, Journal of Portfolio Management 33(2), January 2007. 8 For more details on our recommendation to overweight subordinate bank bonds please see US Bond Strategy Weekly Report, “Negative Oil, The Zero Lower Bound And The Fisher Equation”, dated April 28, 2020, available at usbs.bcaresearch.com 9 Please see US Bond Strategy Weekly Report, “No Holding Back”, dated June 16, 2020, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification

Special Report

The Fed’s efforts to jawbone the US dollar are paying off as investors have been shedding their greenback exposure over the past several weeks. In recent research,1 we have also been highlighting that although Powell would never admit it, the Fed is trying to devalue the greenback and reflate the global economy. The knock-on effect of a depreciating USD is to rekindle S&P sales. According to S&P Dow Jones Indices,2 the SPX derives approximately 43% of its sales from abroad making the US dollar among the key macro profitability drivers (Chart 1, middle panel, US dollar shown advanced and inverted). One of the mechanisms to undermine the greenback is to flood the market with dollars. Ample US dollar based liquidity has historically served as a catalyst to reignite global growth and consequently S&P earnings (Chart 1, bottom panel). Chart 1US Dollar - The Key Driver Chart 2Bearish Across All Timeframes The Dollar: A Bearish Case The fate of the US dollar is yet to be sealed, but piling evidence suggests that the path of least resistance will be lower. Looking at structural (five years+) dynamics, swelling twin deficits emit a bearish USD signal. In more detail, prior to COVID-19 outbreak, the US twin deficits were estimated to gradually rise towards the 7.5% mark (Chart 2, top panel, dotted red line), but now the US Congressional Budget Office (CBO) estimates3 that the US fiscal deficit alone will be approximately 11% of nominal GDP for 2020. In other words, the recent pandemic has exacerbated already structurally bearish dynamics for the US dollar. Switching gears from a structural to a medium term horizon (2-3 years), BCA’s four-factor macro model, is sending an unambiguous bearish message regarding the greenback’s fate (Chart 2, middle panel). Finally, on a short-term time horizon, the USD is lagging the money multiplier by approximately 3 months. The COVID-19 induced recession and resulting money printing will likely exert extreme downward pressure on the US dollar (Chart 2, bottom panel). Summarizing, when looking across three different time horizons, the evidence is pointing toward a weakening US dollar for the foreseeable future. SPX Sectors And US Dollar Correlations With a rising probability of a US dollar bear market on the horizon, it pays to look back in time and examine which S&P GICS1 sectors benefited from a depreciating US dollar. The purpose of this Special Report is to shed light on the empirical evidence of SPX sectors and USD correlations and serve as a roadmap of sector winners and losers during USD bear markets. Table 1 provides foreign sales exposure for each of the sectors. All else equal, a falling greenback should be synonymous with technology, materials, and energy sectors outperforming as they are the most internationally exposed sectors. In contrast, should the USD change its course and head north, financials, telecom, REITs, and utilities will be the key beneficiaries. Why? Because most of these industries are landlocked in the US and thus in a relative sense should benefit when the US dollar roars. Table 1S&P 500 GICS1 Foreign Sales As A Percent Of Total Sales* To confirm the above hypothesis, we have identified three previous US dollar bear markets (Chart 3) and computed GICS1-level sector relative returns (Table 2). Chart 3US Dollar Bear Markets Table 2S&P 500 Gics1 Returns* During US Dollar Bear Markets Looking at median return profile reveals that our hypothesis held as all three: technology, materials, and energy decisively outperformed the market when the US dollar headed south. Similarly, domestically focused and predominately defensive industries such as utilities and telecoms underperformed the market with the consumer staples sector being a notable outlier – something that we address in the consumer staples section of the report. What follows next is a detailed discussion on each of the GICS1 sectors historical relationship with the US dollar, ranked in order of foreign sales exposure from highest to lowest. For completion purposes, we also provided S&P 500 GICS1 relative sector performance against the US dollar charts since 1970 in the Appendix.     Arseniy Urazov Research Associate arseniyu@bcaresearch.com   Technology (Neutral)  Technology sits atop the foreign sales exposure table garnering 58% of revenues from abroad, which is a full 15% percentage points higher than S&P 500 (Table 1). In two out of the three periods of USD bear markets that we examined, tech stocks bested the broad market and the median outperformance sat over 9%. Nevertheless, the correlation between the US dollar and relative share prices is muted over a longer-term horizon (see Appendix Chart A1 below). Likely, one reason for the inconclusive long-term correlation between tech and the greenback is that the majority of tech gadgets are manufactured overseas (Chart 4, third panel). Therefore, an appreciating currency boosts margins via deflating input costs. Tack on the resilient nature of demand for tech hardware goods and especially software and services which preserves high selling prices and offsets and negative P&L losses from a rising greenback. We are currently neutral the S&P technology sector and employ a barbell portfolio approach preferring software and services and avoiding hardware and equipment. Chart 4Technology Materials (Neutral) The materials sector behaves similarly to its brother the energy sector as both move in the opposite direction of the greenback (Chart 5, top panel). Consequently, materials stocks have outperformed the market during periods of US dollar weakness that we analyzed. The third panel of Chart 5 shows that our materials exports proxy is the flip image of the greenback. This tight inverse relationship is exacerbated by the negative impact of a firming dollar on underlying metals commodity prices (Chart 5, second panel). As a result, materials profit margins widen when the dollar falls and narrow when it rises. Ultimately, S&P materials earnings reflect this USD-commodity dynamic (Chart 5, bottom panel) We are currently neutral the S&P materials index. Chart 5Materials Energy (Overweight) The energy sector enjoys a tight inverse correlation with the US dollar (Chart 6, top panel) as it is the third most globally exposed sector as shown in Table 1 with 51% of sales coming from abroad. As nearly all of the global oil trade is conducted in US dollars, a weakening USD underpins the price of crude oil (Chart 6, second panel). In turn, US energy sector exports rise reflecting the fall in the greenback (Chart 6, third panel). Finally, the S&P energy companies enjoy a boost to their income statements (Chart 6, bottom panel), which explains the sizable median sector outperformance of 43% during dollar bear markets as highlighted in Table 2. We are currently overweight the S&P energy sector and have recently capitalized on 40%+ combined gains in the long XOP/short GDX pair trades.4 Chart 6Energy Industrials (Overweight) US industrials stocks’ foreign sales exposure is on a par with the S&P 500, which explains why the sector only barely outperformed the broad market during periods of dollar weakness. Still, the correlation between this manufacturing-heavy sector and the greenback is negative (Chart 7, top & second panels). Similar to its deep cyclical brethren (materials and energy), the link comes via the commodity channel. A softening dollar boosts global growth, which in turn supports higher commodity prices. Not only do US capital goods producers benefit from overall rising demand (i.e. infrastructure spending), but also via market share gains in global markets as the falling greenback results in a comparative input cost advantage (Chart 7, third panel). Finally, P&L translation gain effects act as another fillip to industrials stocks profits when dollar heads south. We are currently overweight the S&P industrials index. Chart 7Industrials Health Care (Overweight) The defensive health care sector is positively correlated with the dollar as its foreign sales revenues are below the ones of the SPX (Chart 8, top panel). Moreover, empirical evidence suggests that the relationship between the sector’s exports and the USD has been mostly positive, which is counterintuitive (Chart 8, middle panel). Keep in mind that pharma and biotech represent roughly half the index and derive 75%+ of their profits domestically as they dictate pricing terms to the US government (it is written into law). This is not the case in Europe where the NHS and the German government for example, have a big say on what pharmaceuticals can charge for their drugs. The bottom panel of Chart 8 summarizes the domestic nature of the health care sector, highlighting the tight positive relationship between the sector’s earnings and the greenback. We are currently modestly overweight the S&P health care sector. Chart 8Health Care Consumer Discretionary (Overweight) While the impact of the US dollar on the consumer discretionary sector varied over time switching from a positive to a negative and vice versa, today the sector enjoys a positive correlation with the currency (Chart 9, top panel). The 33% foreign sales exposure may appear as a significant proportion, but it is still a full 10% percentage points below the SPX (Table 1). The implication is that even though the exports benefit from a falling dollar (Chart 9, middle panel), this bump is not enough to drive sector outperformance. Likely, the key reason why consumer discretionary stocks currently enjoy a positive correlation with the dollar is the US large trade deficit. In other words, the US imports the lion’s share of its consumer goods. As the dollar grinds higher, the cost of imports decreases for the US consumer, which provides a boost to companies’ earnings (Chart 9, bottom panel). Tack on the heavy weight AMZN has in the sector (comprising 40% of consumer discretionary sector market cap) and the positive correlation with the currency is explained away. We are currently overweight the S&P consumer discretionary index. Chart 9Consumer Discretionary Consumer Staples (Neutral) While a softening US dollar generally favors cyclical industries as it reignites global trade, the defensive S&P consumer staples sector outperformed the overall market on a median basis during USD bear markets (Table 2). Granted, the results are likely skewed as staples stocks rallied more than 300% in the last two decades of the 20th century. Nevertheless, there is a key differentiating factor at play that helped the consumer staples sector trounce other defensive industries during US dollar bear markets. Staples stocks derive 33% (Table 1) of their sales from abroad, whereas other traditional defensive industries (utilities, telecom services) have virtually no export exposure. In other words, given that staples companies are mostly manufacturers, a depreciating currency acts as a tonic to sales via the export relief valve (Chart 10, bottom panel). We are currently neutral the S&P consumer staples sector. Chart 10Consumer Staples Financials (Overweight) Financials sit at the bottom half of our Table 1 in terms of their foreign sales exposure, which underpins the sector’s positive correlation with the greenback (Chart 11, top panel), and explains why the sector underperforms the market during dollar bear markets. One of the transmission channels between this sector’s performance and the currency is via increased credit demand. Currency appreciation suppresses inflation and supports purchasing power, and thus loan demand, in addition to keeping bond yields low (Chart 11, middle panel). The process reverses as the US dollar stars to depreciate. We are currently overweight the S&P financials index. Chart 11Financials Utilities (Underweight) Utilities underperformed in all three dollar bear markets we analyzed. As we highlighted in the energy section of the report, a softening dollar is synonymous with higher crude oil prices, which in turn raise inflation expectations. The ensuing selloff in the 10-year Treasury, compels investors to shed this bond proxy equity sector (Chart 12, middle panel). With virtually no exports, utilities also miss on the positive currency translation effects that other GICS1 sectors enjoy. In fact, utilities underperformed by the widest margin on a median basis across all GICS1 sectors (Table 2). This defensive sector typically attracts safe haven flows when the dollar spikes and investors run for cover. This positive correlation with the dollar is clearly reflected in industry earnings, which rise and fall in lockstep with momentum in the greenback (Chart 12, bottom panel). We are currently underweight the S&P utilities sector. Chart 12Utilities Telecommunication Services (Neutral) Telecom services relative performance is positively correlated with the dollar, similarly to its defensive sibling, the utilities sector. In fact, telecom carriers go neck-in-neck with utilities as the former is the second worst performing sector during dollar bear markets (Table 2). A softening dollar has proven to be fatal to the industry’s relative pricing power beyond intra industry competition. In fact, industry selling prices are slated to head south anew if history at least rhymes (Chart 13, middle panel). Importantly, this defensive sector is in a structural downtrend and is trying to stay relevant and avoid becoming a “dumb pipeline” with the eventual proliferation of 5G. Worrisomely, telecoms only manage to claw back some of their severe losses during recessions. But, the latest iteration is an aberration as this safe haven sector has failed to stand up to its defensive stature likely owing to the heavy debt load. We are currently neutral the niche S&P telecom services index that now hides underneath the S&P communication services sector. Chart 13Telecom Services REITs (Underweight) Surprisingly, US REITs enjoy an overall negative correlation with the dollar, especially since 1993, and in fact lead the greenback by about 18 months (Chart 14). Our hypothesis would have been a positive correlation courtesy of the landlocked nature of this sector i.e. no export exposure. Granted, in the three periods of dollar bear markets we examined, REITs slightly outperformed the market by 2.5% on a median basis. While the causal link (if any) is yet to be established and the correlation may be spurious, our sense is that forward interest rate differentials are at work and more than offset the domestic nature of this index. REITs have a high dividend yield and thus outperform when the competing risk free asset the 10-year Treasury yield is falling and vice versa (except during recessions). As a result, REITs outperformance is more often than not synonymous with a depreciating currency as lower Treasury yields would exert downward pressure on the USD ceteris paribus.  We are currently underweight the S&P REITs index. Chart 14REITs   Appendix Chart A1Appendix: Technology Chart A2Appendix: Materials Chart A3Appendix: Energy Chart A4Appendix: Industrials Chart A5Appendix: Health Care Chart A6Appendix: Consumer Discretionary Chart A7Appendix: Consumer Staples Chart A8Appendix: Financials Chart A9Appendix: Utilities Chart A10Appendix: Telecommunication Services Chart A11 landscapeAppendix: REITs   Footnotes 1    Please see BCA US Equity Strategy Weekly Report, “The Bottomless Punchbowl” dated May 11, 2020, available at uses.bcaresearch.com. 2    https://us.spindices.com/indexology/djia-and-sp-500/sp-500-global-sales 3    https://www.cbo.gov/system/files/2020-05/56351-CBO-interim-projections.pdf 4    Please see BCA US Equity Strategy Weekly Report, “Gauging Fair Value” dated April 27, 2020, available at uses.bcaresearch.com.  

Overweight While we are neutral the S&P tech sector, we continue to employ a defensive over aggressive tech strategy and prefer software and services to hardware and equipment. The S&P software index in particular has proven its resilience during the COVID-19 sell-off and recovery and has now broken out to fresh all-time highs both in absolute and relative terms. Upbeat profit fundamentals underpin software buoyancy. Relative capex spending remains in a secular uptrend, spring-boarding the share price ratio. Our relative macro earnings growth model is also gaining steam highlighting that the earnings driven outperformance phase has staying power. Bottom Line: Stay overweight the S&P software index.  

Highlights Social distancing must persist to prevent dangerous super-spreading of COVID-19. The jobs recovery will be much weaker than the output recovery, because the sectors most hurt by social distancing have a very high labour intensity. This will force a prolonged period of ultra-accommodative monetary policy… …structurally favour T-bonds and Bonos over Bunds and OATs… …growth defensives such as tech and healthcare… …and the S&P 500 over the Euro Stoxx 50. Stay overweight Animal Care (PAWZ). Working from home has generated a puppy boom. Fractal trade: short gold, long lead. Feature As economies reopen, economists and strategists are quibbling about the shape of the output recovery: U, V, W, square root, or even ‘swoosh’. But for the furloughed or displaced worker, the more urgent question is, what will be the shape of the jobs recovery? Unfortunately, the jobs recovery will be much weaker than the output recovery – because the sectors most hurt by social distancing have a very high labour intensity (Chart Of The Week). Chart Of The Week 1ALeisure And Hospitality Makes A Large Contribution To Jobs Relative To Output Chart Of The Week 1BFinance Makes A Small Contribution To Jobs Relative To Output Output Might Snap Back, But Jobs Will Not The sectors most hurt by social distancing make a huge contribution to employment but a much smaller contribution to economic output. This is true for Europe and all advanced economies, though the following uses US data given its superior granularity and timeliness. The leisure and hospitality sector generates 11 percent of jobs, but just 4 percent of output. Retail trade generates 10 percent of jobs, but just 5 percent of output. It follows that if both sectors are operating at half their pre-coronavirus capacity, output will be down by 4.5 percent, but employment will collapse by 10.5 percent. Conversely, sectors which are relatively unaffected by social distancing make a small contribution to employment but a much bigger contribution to economic output. Financial activities generate just 6 percent of jobs, but 19 percent of economic output. Information technology generates just 2 percent of jobs, but 5 percent of output (Table I-1). Table I-1Sectors Hurt By Social Distancing Have A Very High Labour Intensity If economies are reopened but social distancing persists – either via government policy or personal choice – then output can rebound in a V-shape, but employment cannot (Chart I-2). Forcing a prolonged period of ultra-accommodative monetary policy, with all its ramifications for financial markets. Chart I-2UK Unemployment Is Set To Surge If The US Is Any Guide This raises a key question. Must social distancing persist? To answer, we need to pull together our latest understanding of COVID-19. COVID-19: What We Know So Far Many people argue that coronavirus fears are disproportionate. The mortality rate seems comfortingly low, at well below 0.5 percent (Chart 3). Yet this argument misses the point. Chart I-3The COVID-19 Mortality Rate Is Not High COVID-19 is dangerous not because it kills, but because it makes a lot of people seriously ill. It has a low mortality rate, but a high morbidity rate. According to the World Health Organisation, around one in six that gets infected “develops difficulty in breathing”. Moreover, The Lancet points out that many recovered COVID-19 patients suffer pulmonary fibrosis, a permanent scarring of the lungs that impairs their breathing for the rest of their lives. Hence, while COVID-19 is highly unlikely to kill you, it could damage your health forever1 (Figure I-1). Figure 1COVID-19 Is Unlikely To Kill You, But It Could Permanently Damage Your Lungs The most famous COVID-19 victim to date is British Prime Minister Boris Johnson who spent several days recovering in intensive care. By his own admission, Johnson’s only pre-existing conditions are that he is overweight and “drinks an awful lot”. But those pre-existing conditions could apply to a large swathe of the population. COVID-19 is virulent. But we now know that most infections are the result of so-called ‘super-spreaders’ – a small minority of virus carriers who infect tens or hundreds of other people. We also know that talking loudly, singing, or chanting tends to eject higher doses of the virus, and in an aerosol form that can linger in enclosed spaces. This creates the perfect conditions for one infected person to infect scores of others very quickly.  Based on this latest knowledge, the good news is that economies can reopen. The bad news is that, until an effective vaccine is developed, social distancing must persist. Specifically, people must avoid forming the crowds, congregations, and loud gatherings that can generate very dangerous super-spreading events. Hence, the sectors that are most hurt by social distancing – leisure and hospitality and retail trade – will continue to operate well below capacity for many months, at a minimum. And as these sectors have a very high labour intensity, there will be no V-shape recovery in jobs. Without Higher Bond Yields, European Equities Struggle To Outperform Social distancing is set to persist, which will create heaps of slack in advanced economy labour markets. This will force central banks to push the monetary easing ‘pedal to the metal’ – though in many cases, the pedal is already at the metal. In turn, this will force bond yields to stay ultra-low and, where they can, go even lower. One immediate takeaway is to stay overweight positively yielding US T-bonds and Spanish Bonos versus negatively yielding German Bunds and French OATs. Depressed bond yields must also compress the discount rate on competing long-duration investments that generate safely growing cashflows. Meaning, growth defensive equities such as technology and healthcare. Now comes the part that is conceptually difficult to grasp because it is novel to this unprecedented era of ultra-low bond yields. Take some time to absorb the following few paragraphs. For growth defensives, both components of the discount rate – the bond yield and the equity risk premium (ERP) – compress together. This is because the ERP is a tight function of the difference in equity and bond price ‘negative asymmetries’, defined as the potential price downside versus upside. When bond yields converge to their lower limit, bond prices converge to their upper limit, which increases the potential price downside versus upside. The result is that the difference in equity and bond negative asymmetries converges to zero, forcing the ERP to converge to zero. As the discount rate on growth defensives such as tech and healthcare collapses towards zero, the net present value must increase exponentially. This exponentially higher valuation of tech and healthcare is a mathematical consequence of the novel risk relationship between growth defensive equities and bonds at ultra-low bond yields. The unprecedented phenomenon has a major implication for European equity relative performance. The Euro Stoxx 50 is heavily underweight technology and healthcare, and this defining sector fingerprint is the key structural driver of European equity market relative performance (Chart I-4). Meanwhile, the relative performance of technology and healthcare is just an inverse exponential function of the bond yield (Chart I-5). The upshot is that European equities tend to outperform other regions only when bond yields are heading higher and the growth defensives are underperforming (Chart I-6). Chart I-4The Euro Stoxx 50's Underweight In Tech Drives Its Relative Performance Chart I-5Tech Outperforms When The Bond Yield Declines... Chart I-6...Hence, Without Higher Bond Yields The Euro Stoxx 50 Struggles To Outperform Some commentators are calling the higher valuations in tech and healthcare a new bubble. But it is a bubble only to the extent that bond yields are in a ‘negative bubble’, meaning that ultra-low yields are unsustainable. However, with social distancing set to leave heaps of slack in the advanced economy labour markets, ultra-low bond yields are here to stay and could go even lower. Moreover, as shown earlier, tech and healthcare demand and output are immune to social distancing. They may even benefit from social distancing. Hence, on a one-year horizon and beyond, stay overweight the growth defensive tech and healthcare sectors. And stay overweight the tech and healthcare heavy S&P 500 versus Euro Stoxx 50. A Puppy Boom We finish on a very positive note for animal lovers. The shift to working from home has generated a puppy boom. The Association of German Dogs claims that “the demand for puppies is endless” and the UK Kennel Club says that “there is unprecedented demand.” In the era of social distancing, the waiting list for puppies has quadrupled, and prices of easy to look after crossbreeds such as cockapoos have more than doubled. The demand for pet food and equipment is also very strong. Dogs make excellent companions for the socially isolated, which describes how many people are now feeling. Furthermore, with millions of people now working from home or on extended furlough, a growing number of households can fulfil the dream of owning a dog. We have recommended a structural overweight to the Animal Care sector based on the ‘humanisation’ of pets and the structural uptrend in spend per pet, especially on veterinary costs (Chart I-7). Animal Care has outperformed by 50 percent in the past two and a half years, but the shift to working from home will add impetus to the structural uptrend (Chart I-8). Chart I-7Animal Care Prices Are Rising... Chart I-8...And The Animal Care Sector Is Strongly Outperforming Stay overweight Animal Care. The ETF ticker, appropriately enough, is called PAWZ.  Fractal Trading System This week’s recommended trade is to short gold versus lead, given that the relative performance recently reached a fractal resistance point that has successfully identified four previous turning points. Set the profit target and symmetrical stop-loss at 13 percent. In our other open trades, five are in profit and one is in loss. The rolling 1-year win ratio now stands at 64 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 Footnotes 1    https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(20)30222-8/fulltext 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