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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.    
Special Report Highlights The underperformance of value versus growth has been a reason behind the dollar bull market rather than a consequence of it. The rationale is that the catalyst for any sector to outperform is return on capital rather than the cost of capital. The outperformance of health care and technology has been on the back of rising profits, rather than just investor exuberance and/or low bond yields. Cyclical currencies with a high concentration of value sectors have tracked the relative performance of their representative bourses. A reversal will require value sectors to start outperforming on a sustainable basis. It is encouraging that leadership changes in equity markets occur more often than not. Historically, these tend to take place every decade. Bombed-out valuations suggest some deep-value sectors have become sufficiently cheap to compensate for a pessimistic profit scenario. An outperformance of value versus growth will favor cyclical currencies. We are long a basket of petrocurrencies, the SEK, and GBP. We are also short USD/JPY as portfolio insurance (and as a play on the cyclical Japanese market). Feature The usual market narrative is that for non-US stocks to outperform, the dollar has to decline. This also applies to value stocks that have a higher weighting outside the US, compared to growth stocks. At the center of this premise is that the dollar is a reserve currency. As a result, three reasons emblem the view. First, a fall in the dollar eases financing costs for non-US corporations borrowing in dollars. Second, commodities tend to do well when the dollar declines, benefiting emerging market and commodity-producing countries. And finally, a lower dollar boosts the common-currency returns for US-based investors, leading to more capital deployment in offshore markets. On the surface, this makes sense. But digging deeper into the thesis, it appears that a lower US dollar is a necessary but not sufficient condition for non-US (or value) stocks to outperform. The reason is that profit growth (the ultimate driver of stock prices) is more contingent on productivity gains rather than translation effects. As such, the value-versus-growth debate is important, not only for the sectors involved, but for currency strategy as well. A Two-Decade Postmortem Chart I-1Value/Growth Turns Before The Dollar Chart I-1 plots the MSCI global value index versus its growth counterpart, superimposed against the US dollar. Two trends become apparent: The relative performance of value versus growth typically bottoms or peaks ahead of turns in the US dollar. The relationship between the value/growth ratio and the US dollar is not always in sync. There was a period of decoupling after the financial crisis, and, more recently, in 2015-2016. This was also the case in the ‘80s and around the Asian crisis in the late ‘90s. Flows tend to gravitate to capital markets with the highest expected returns, and this is certainly the case when value or growth style tilts are concerned. This is important for currency strategy, since sector composition can drive a country’s equity returns. Meanwhile, both equity and currency relative performances tend to be in sync (Chart I-2A and Chart I-2B). Chart I-2ACurrencies Follow Relative Equity Performance Chart I-2BCurrencies Follow Relative Equity Performance According to the MSCI classification, information technology and health care are the biggest components of the growth index – a whopping 49%. This is in stark contrast to financials and industrials, which make up 33% of the value index. Not surprisingly, currencies with a heavy value weighting in their domestic bourses (Table I-1) have suffered indiscriminately compared to their growth counterparts, over the last decade. Table I-1Sector Weights Across G10 Take the US and Switzerland, which have the highest equity concentration in traditional growth sectors, at over 60%. Both the US dollar and Swiss franc have held up remarkably well in trade-weighted terms since the onset of the dollar bull market (Chart I-3). Likewise, it would have been a miracle for petrocurrencies (CAD, NOK and AUD) to hold up amid the recent underperformance in energy and financials. Chart I-3Style Tilt Drives Currency Performance This suggests that at minimum, the underperformance of value versus growth has been a reason for the dollar bull market rather than a consequence of it. Chicken And Egg Problem? What about the narrative that a decline in the dollar greases the engine of non-US stocks? Yes, but not entirely. It is certainly the case that most global trade and financing is conducted in US dollars, and so a fall in the US dollar (commensurate with lower interest rates) leads to easier global financial conditions. As Chart I-4 clearly illustrates, corporate spreads abroad have been tightly correlated to dollar volatility. A lower dollar also eases repayment costs for non-US borrowers. Chart I-4The Dollar And Funding Stresses A lower dollar also boosts resource prices through the numeraire effect (Chart I-5). Meanwhile, rising commodity prices flatter industries tied to the resource value chain such as industrials, materials, and energy. Second-round economic effects also buffet other cyclical industries such as retail and hospitality, which help boost the domestic equity index. That said, the rally in commodities, value stocks, and emerging market share prices in 2016-2017 occurred despite a dollar that was flat-to-higher – so the causality versus effect link is not always trivial. Part of the reason is that, over the past few years, both emerging market and other non-US corporates have diversified their sources of debt funding. Euro- and yen-denominated debt have been surging (Chart I-6), which has kept their cost of capital low, even as the dollar has risen. Chart I-5Tied To The Hip Chart I-6Lots Of Non-US Debt It is also important to note that in commodity bull markets, prices tend to rise in all currencies, including domestically (Chart I-7). This is crucial for sector outperformance since the translation effect for profits will otherwise be negative, given local-currency fixed and variable costs. This suggests that demand is the driving force behind bull markets in commodity prices and cyclical stocks, rather than a lower greenback. Chart I-7Commodity Bull Markets In Different Currencies This demand has come in the form of Chinese stimulus. Chart I-8 shows a close correlation between excess liquidity in China (a measure of the centripetal force from Chinese credit) and resource share valuations. Ergo, a key barometer for value to outperform growth is that Chinese demand picks up, plugging the hole in exactly the sectors that have borne the brunt of deleveraging in recent years. Chart I-8China And Commodities A look at corporate balance sheets and income statements corroborates this view. Growth has outperformed value on the back of a re-rating, but also on profitability. Chart I-9A and Chart I-9B rank G10 equity bourses on the basis of return on equity and their corresponding price-to-book ratios. Not surprisingly, the winners of the last decade have had the biggest returns on equity, as was the case for the winners during the prior decade. Chart I-9AMarkets Bid Up High Returns To Capital Chart I-9BMarkets Bid Up High Returns To Capital As such, the catalyst for any sector to outperform is return on capital rather than the cost of capital. Structural Shift? There is some evidence that the underperformance of value versus growth could be structural. For one, being a value manager seems to be following the fate of telephone switchboard operators in the early 1900s. Perhaps the advent of computer trading systems has systematically eroded the value premium. As such it is becoming more and more difficult, even for the most skillful value managers, to beat their own index. An inability for value sectors to outperform will be a key risk to a dollar-bearish view. Work done on our in-house Equity Trading Strategy platform corroborates this view. Since about 2014, a long/short strategy based on the best value stocks relative to the worst in terms of a swath of fundamental valuation metrics has been flat compared to a more blended strategy (Chart I-10). According to our quantitative specialists, the best value can be found in European countries such as Sweden, Denmark, the Netherlands, and Germany (Chart I-11). Surprisingly, their proprietary value model rate Switzerland and New Zealand quite highly, despite a clear defensive bias in these equity markets. Unsurprisingly, some of the countries that have had the weakest currencies in the last decade such as Sweden and the Eurozone members have highly favored value sectors. Chart I-10A Dearth Of Value Managers Chart I-11Lots Of Value Outside The US Going forward, a few things could change. One of the primary reasons why growth has outperformed value has been the drop in bond yields, which has increased the appeal of companies with low payout ratios and much more backdated cash flows (Chart I-12). But as countries from Japan to Australia implement yield-curve controls at the zero bound, the capitalized dividend from low yields is bound to be exhausted. Meanwhile, any rise in yields will favor deep-value sectors like banks (due to rising net interest margins) and commodities (due to inflation protection). Chart I-12A Lower Discount Favors Long-Duration Assets Second, falling global trade and the proliferation of Environmental, Social and Governance (ESG) investing has hammered traditional industries such as energy and autos. Part of this trend is structural, but there is also a cyclical component. For the auto industry in particular, auto sales are strongly (inversely) correlated to the unemployment rate, and as more economies reopen, car sales should pick up. Meanwhile, traditional auto and energy companies are stepping up their electric vehicle and alternative energy strategies, meaning the first-mover advantage for the avant-gardes like Tesla and Nikola could be eroded. Finally, valuation tends to be a key catalyst near recessions. Given that over the years, one of the more consistent drivers of long-term equity returns has been the valuation starting point, this favors non-US stocks (Chart I-13A, Chart I-13B, Chart I-13C, Chart I-13D). Not surprisingly, the currencies that are the most undervalued in our models1 also have cheap equity markets. Even if one focuses solely on growth sectors such as technology and health care, non-US companies are still more attractive, according to our Equity Trading Strategy platform (Chart I-14). This suggests some measure of convergence is due. Chart I-13AProspective Returns Higher Outside The US Chart I-13BProspective Returns Higher Outside The US Chart I-13CProspective Returns Higher Outside The US Chart I-13DProspective Returns Higher Outside The US Chart I-14Attractive Growth Stocks Outside The US It is encouraging that leadership changes in equity markets occur more often than not. Historically, these tend to occur every decade. Bombed-out valuations suggest some deep-value sectors have become sufficiently cheap to compensate for a pessimistic profit scenario. Portfolio Construction Chart I-15CAD/NZD And Relative Stocks An outperformance of value versus growth will favor cyclical currencies. The catalyst will have to be improving return on capital from value sectors, but the valuation starting point is already quite compelling. Meanwhile, even traditional growth sectors are still cheaper outside the US. We are already selectively long a basket of petrocurrencies, the SEK, and GBP. We are also short USD/JPY as portfolio insurance (and as a play on the cyclical Japanese market). Should value stocks gain more widespread appeal, we will add the Eurozone and emerging market currencies to this basket. Elsewhere, a tactical trading opportunity has also opened up to go short the NZD/CAD cross. Little known is that the New Zealand stock market is the most defensive in the world (previously referenced in Table I-1). This has helped keep the New Zealand dollar higher than would have otherwise been the case. Should value start to outperform growth, this will favor the CAD/NZD cross (Chart I-15). While we commend Prime Minister Jacinda Ardern’s efforts to limit the spread of COVID-19 in New Zealand, the economy will soon start to bump against supply-side constraints. More specifically, COVID-19 has accentuated the immigration cliff in New Zealand, an important hit to the labor dividend for the economy (Chart I-16). As such, the neutral rate of interest is bound to head lower. Chart I-16A Top For NZD/CAD? This is in stark contrast to Canada, where the current government was pro-immigration even before widespread lockdowns. Meanwhile, in the commodity space, our bias is that energy will fare better than agriculture, boosting relative Canadian terms of trade. Go short NZD/CAD for a trade.   Chester Ntonifor Foreign Exchange Strategist chestern@bcaresearch.com Footnotes 1 Please see Foreign Exchange Strategy Weekly Report , "Updating Our Intermediate-Term Models", dated July 3, 2020. Currencies U.S. Dollar Chart II-1USD Technicals 1 Chart II-2USD Technicals 2 Recent data in the US have been robust: The ISM non-manufacturing PMI jumped from 45.4 to 57.1 in June, with the new orders component surging from 41.9 to 61.6 and the employment component at 43.1 versus 31.8 earlier. JOLTS job openings increased from 5 million to 5.4 million in May. Initial jobless claims fell from 1413K to 1314K for the week ended July 3rd. The DXY index fell by 1% this week, alongside the outperformance of non-US equities, particularly emerging market stocks. Recent data have shown budding signs of a recovery as many countries gradually reopen their economies. As a counter-cyclical currency, this has pressured the dollar. Report Links: DXY: False Breakdown Or Cyclical Bear Market? - June 5, 2020 Cycles And The US Dollar - May 15, 2020 Capitulation? - April 3, 2020 The Euro Chart II-3EUR Technicals 1 Chart II-4EUR Technicals 2 Recent data in the euro area have been mostly positive: The Markit services PMI increased from 47.3 to 48.3 in June. The Sentix investor confidence index rebounded from -24.8 to -18.2 in July. Retail sales fell by 5.1% year-on-year in May. However, this is a 17.8% increase on a month-on-month basis.  The euro increased by 0.6% against the US dollar this week. While recent data have been promising, the Summer 2020 Economic Forecast released by the European Union sounded quite pessimistic this week. The Summer Forecast projects that the euro area will contract by 8.7% in 2020 and grow by 6.1% in 2021, much worse than the spring forecast. That said, a mild second wave could trigger the European Union to revise these estimates higher. Meanwhile, the ECB remains committed to lowering the cost of capital for Eurozone countries. Report Links: On The DXY Breakout, Euro, And Swiss Franc - February 21, 2020 Updating Our Balance Of Payments Monitor - November 29, 2019 On Money Velocity, EUR/USD And Silver - October 11, 2019 Japanese Yen Chart II-5JPY Technicals 1 Chart II-6JPY Technicals 2 Recent data in Japan have been mostly negative: The current account balance surged from ¥262.7 billion to ¥1176.8 billion in May, as imports fell faster than exports. The preliminary coincident index fell from 80.1 to 74.6 in May, while the leading economic index increased from 77.7 to 79.3. Machinery orders fell by 16.3% year-on-year in May, following a 17.7% decrease the previous month. Moreover, preliminary machine tool orders in June continued to fall by 32% year-on-year. USD/JPY fell by 0.5% this week. The June Eco Watchers Survey released this Wednesday shows that the current conditions index increased sharply from 15.5 to 38.8. Moreover, the outlook index rose to 44 in June from 36.5 the previous month. The Survey sounded cautiously optimistic and indicated that while COVID-19 continues to be a downside risk, activities are starting to pick up in recent months. Report Links: The Near-Term Bull Case For The Dollar - February 28, 2020 Building A Protector Currency Portfolio - February 7, 2020 Currency Market Signals From Gold, Equities And Flows - January 31, 2020 British Pound Chart II-7GBP Technicals 1 Chart II-8GBP Technicals 2 Recent data in the UK have been positive: The Markit services PMI ticked up marginally from 47 to 47.1 in June. The construction PMI surged from 28.9 to 55.3. Halifax house prices increased by 2.5% year-on-year in June. The British pound jumped by 1.3% against the US dollar this week. The Bank of England chief economist, Andy Haldane, has warned about second, third or even fourth wave of COVID-19 infections. However, he also acknowledged that the UK economy has received a boost since restaurants and bars have reopened. We remain bullish on the pound as an undervalued currency, but are monitoring Brexit developments closely as they continue to add more volatility to trading patterns. Report Links: Updating Our Balance Of Payments Monitor - November 29, 2019 A Few Trade Ideas - Sept. 27, 2019 United Kingdom: Cyclical Slowdown Or Structural Malaise? - Sept. 20, 2019 Australian Dollar Chart II-9AUD Technicals 1 Chart II-10AUD Technicals 2 Recent data in Australia have been mostly negative: The AiG services performance index was flat at 31.5 in June. Home loans fell by 7.6% month-on-month in May, following a 4.4% decline the previous month. The Australian dollar rose by 0.6% against the US dollar this week. On Tuesday, the RBA held its interest rate unchanged at 0.25%, as widely expected. The Bank sounded optimistic about the recovery and the government’s effective measures to contain the virus. That said, with Melbourne returning into lockdown, a dose of skepticism is warranted. We continue to favor the Australian dollar as a key barometer for procyclical trades, but domestic factors could be a risk to this view. Report Links: On AUD And CNY - January 17, 2020 Updating Our Balance Of Payments Monitor - November 29, 2019 A Contrarian View On The Australian Dollar - May 24, 2019 New Zealand Dollar Chart II-11NZD Technicals 1 Chart II-12NZD Technicals 2 Recent data in New Zealand have been positive: The ANZ preliminary business confidence index recovered from -34.4 to -29.8 in July. The New Zealand dollar rose by 0.9% against the US dollar this week. The Q2 NZIER Quarterly Survey of Business Opinion (QSBO) indicated that economic activities plunged sharply in Q2. According to the survey, a net 63% of businesses expect conditions to deteriorate, compared with 70% in the previous survey. While confidence has picked up slightly, business sentiment remains downbeat with less intensions to invest and hire, particularly in the subdued construction sector. As such, a tactical opportunity is opening for short NZD trades at the crosses. Report Links: Updating Our Balance Of Payments Monitor - November 29, 2019 Place A Limit Sell On DXY At 100 - November 15, 2019 USD/CNY And Market Turbulence - August 9, 2019 Canadian Dollar Chart II-13CAD Technicals 1 Chart II-14CAD Technicals 2 Recent data in Canada have been positive: The Ivey PMI surged from 39.1 to 58.2 in June. The Markit manufacturing PMI also increased from 40.6 to 47.8 in June. Bloomberg Nanos confidence increased from 46 to 46.2 for the week ended July 3rd. Housing starts picked up from 195.5K in May to 211.7K in June. The Canadian dollar appreciated by 0.5% against the US dollar this week. The BoC Business Outlook Survey was released this week and survey results suggest that “business sentiment is strongly negative in all regions and sectors” due falling energy prices. Most firms believe that production could pick up quickly but sales might take longer to recover. That said, both interest rate differentials and recovering oil prices are bullish for the Canadian dollar for now.  Report Links: More On Competitive Devaluations, The CAD And The SEK - May 1, 2020 A New Paradigm For Petrocurrencies - April 10, 2020 The Loonie: Upside Versus The Dollar, But Downside At The Crosses Swiss Franc Chart II-15CHF Technicals 1 Chart II-16CHF Technicals 2 Recent data in Switzerland have been positive: FX reserves increased from CHF 817 billion to CHF 850 billion in June. The unemployment rate declined from 3.4% to 3.2% in June. Total sight deposits increased from CHF 683 billion to CHF 687 billion for the week ended July 3rd. The Swiss franc appreciated by 0.7% against the US dollar this week. The Swiss franc has been quite resilient recently despite the rebound in risk sentiment since the March lows. The expensive franc remains a headache for the SNB and the Swiss economy. We are looking to go long EUR/CHF at 1.055. Report Links: On The DXY Breakout, Euro, And Swiss Franc - February 21, 2020 Currency Market Signals From Gold, Equities And Flows - January 31, 2020 Portfolio Tweaks Before The Chinese New Year - January 24, 2020 Norwegian Krone Chart II-17NOK Technicals 1 Chart II-18NOK Technicals 2 Recent data in Norway have been negative: Manufacturing output fell by 3% month-on-month in May. The Norwegian krone surged by 1.3% against the US dollar this week. We remain bullish on the krone due to its cheap valuation and signs of a recovery in energy prices. Our Nordic Basket is now around 10% in the money and we also went long a petrocurrency basket including the Norwegian krone last week. Report Links: A New Paradigm For Petrocurrencies - April 10, 2020 Building A Protector Currency Portfolio - February 7, 2020 On Oil, Growth And The Dollar - January 10, 2020 Swedish Krona Chart II-19SEK Technicals 1 Chart II-20SEK Technicals 2 Recent data in Sweden have been negative: Industrial production fell by 15.5% year-on-year in May. Manufacturing new orders plunged by 18.4% year-on-year in May. The Swedish krona surged by 1.3% against the US dollar this week. Like the Norwegian krone, the Swedish krona is tremendously undervalued and remains one of our favorite G10 currencies at the moment. As a small open economy, Sweden relies heavily on exports and imports. While global trade was hit hard during COVID-19, signs of stabilization bode well for the Swedish krona. Report Links: Updating Our Balance Of Payments Monitor - November 29, 2019 Where To Next For The US Dollar? - June 7, 2019 Balance Of Payments Across The G10 - February 15, 2019 Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Limit Orders Closed Trades
Overweight Consumer discretionary stocks have been on fire of late besting the SPX by 13% since our overweight inception in mid-April. AMZN (44% market cap weight in the sector) is frequently printing two standard deviation moves on daily, weekly and monthly timeframes, as COVID-19 has been an accelerant both to consumers moving away from bricks and mortar shops and toward online retail and to businesses adopting cloud services. Easy fiscal and monetary policies underpin the relentless rally (top panel). While we are participating in the advance via key overweights in internet retail and home improvement retailers (HIR), we note signs of exuberance. Our technical indicator has crossed above the one standard deviation line entering into a danger zone (middle panel). Similarly, valuations are also climbing to extreme levels, last seen in the early 1990s (bottom panel). We will keep an eye on these developments and have recently implemented portfolio risk management tools to defend against a potential air pocket. Specifically, we have instituted two stops: one in the S&P HIR, and another in the S&P internet retailers overweights at the 10% and 20% relative return marks, respectively. Should the stops get triggered, then the consumer discretionary sector will be automatically downgraded to neutral. Bottom Line: We remain overweight the S&P consumer discretionary sector via the S&P HIR and S&P internet retailers indexes, but should our stops get triggered, we are ready to downgrade to neutral.
Dear Client, In lieu of our regular report next week, I will present our view on China’s economic recovery, geopolitical risks, and implications on financial markets in two live webcasts. The webcasts will take place next Wednesday, July 15 at 10:00AM EDT (English) and at 9:00PM EDT (Mandarin). Best regards, Jing Sima, China Strategist Highlights China’s economic recovery continues through June, but the pace of its demand-side recovery has been more muted compared to the V-shaped rebound in 2009. The intensity of the PBoC’s monetary easing may start to taper in H2, but the central bank is likely to stay on the easing course and keep liquidity conditions ample. Bank lending to the corporate sector should increase further in H2. Chinese stocks rallied through last week’s enactment of the new national security law for Hong Kong and the subsequently announced sanctions from the US government. The existing US sanctions should have limited impact on Hong Kong and mainland China’s economies and financial markets. We remain positive on Chinese stocks despite the recent rallies in China’s equity markets. Feature June’s official and Caixin manufacturing PMIs indicate that China’s economic recovery continues at a steady rate, with the production side of the economy picking up slightly faster than the demand side. The drag on China’s economic recovery from lackluster demand growth should be temporary. Unlike in 2015 when policy uncertainties hindered the recovery in both economic activity and stock prices, the Chinese government has been determined to support its economy and job market in the current cycle. The massive stimulus implemented since March has tremendously boosted activities in China’s construction sector. While households and the corporate sector remain reluctant to spend and to invest, their marginal propensity to spend usually catches up with credit growth with about a 6-9-month lag (Chart 1). The sharp pickup in credit growth should meaningfully support China’s economic rebound, while a better global growth outlook in H2 should also provide some modest tailwinds. On June 30, the PBoC announced a 0.25 percentage point cut to its relending rates for small and rural enterprises and to its general rediscount rate. While the scale of rate cuts in H2 will unlikely match that of Q1, China’s monetary and fiscal policy support will remain in place through the rest of the year. Chinese investable and domestic equities were some of the best performers among global asset classes in June, whereas they were the third-worst the month prior (Chart 2). In the first week of July, both Chinese investable and domestic stocks rallied even further. As we noted in our last week’s report,1 China’s stronger economic outlook, less uncertainty related to its domestic COVID-19 containment, and policy support should provide more room for Chinese stocks to trend upwards. Last week’s passing of the new national security law for Hong Kong and the subsequently announced sanctions from the US government, in our view, should have limited impact on investors’ sentiment for now. Chart 1China's Household And Corporate Marginal Propensities Lag The Credit Impulse By 6-9 Months Chart 2Chinese Equities Are Taking Flight   Tables 1 and 2 present key developments in China’s economic and financial market performance in the past month, and we highlight several of these developments below: Table 1China Macro Data Summary Table 2China Financial Market Performance Summary China’s June official manufacturing PMI ticked up to 50.9 from 50.6 in the previous month. The Caixin manufacturing PMI came in at 51.2, beating the expectation of 50.5 and compared to 50.7 in May. Both suggest that China’s manufacturing sector continues to expand, however the pace of its demand-side recovery has been more muted compared to the V-shaped rebound in 2009 (Chart 3). Although the import and export subcomponents have fared better in June from the low levels in April and May, their readings in June were still below the 50 boom-bust line (Chart 4). Headwinds remain strong for global trade as the US and many of emerging economies are still struggling with the pandemic. Even without re-imposing lockdowns, the resurge in the number of new cases in the US may result in a drag on consumption and global trade. The IMF projects a 12% contraction in global trade in 2020. While the external demand may improve in H2, positive contribution to China's GDP growth from the net exports will be limited this year. Chart 3Current Recovery Lies Somewhere Between 2009 And 2015 Chart 4Demand-Side Recovery Remains Muted   The employment situation in the manufacturing sector has worsened since May, and has returned to contraction following a brief improvement in March and April (Chart 5). An estimated 8.7 million new graduates in 2020,2 a historical high number, will hit the job market in July and August. As such, China’s labor market will likely remain under significant pressure. Even though employment usually lags economic recoveries, depressed expectations on the job market will refrain policymakers from prematurely withdrawing stimulus measures. Small and micro enterprises are an important part of China’s private sector, which provides 80% of jobs in China. The manufacturing PMI of small enterprises fell below the 50 boom-bust line in June, reflecting a persistent weakness in this part of China’s economy. The recent relending and rediscount rate cuts suggest that the PBoC is committed to stay on the easing course. The intensity of monetary easing may start to taper in H2, but the central bank is likely to keep liquidity conditions ample and encourage banks to accelerate lending to the corporate sector. The contraction in Chinese producer prices deepened to -3.7% (year-over-year) in May. However, we think PPI deflation is likely to bottom in Q3. Both the purchasing and producer price subcomponents of the manufacturing PMI ticked up sharply in June, while the drawdown in industrial product inventory relative to new orders has accelerated (Chart 6). The ongoing accommodative policy should provide powerful tailwinds to both economic activity and the PPI in H2. The improvement in the PPI will help to boost industrial profits growth, which turned positive in May (year-over-year) for the first time this year. We expect year-to-date industrial profits to end the calendar year with a modest positive growth rate.  Chart 5Labor Market Pressure Intensifies Chart 6PPI Deflation Nears Its Bottom   China’s property market indicators have notably trended up in May, with year-over-year growth in housing demand normalizing to its pre-pandemic level (Chart 7A & Chart 7B). As the demand in housing rebounded faster than the supply, housing prices have correspondingly turned the corner in May after trending down for 6 consecutive months. Chart 7AHousing Prices Ticked Up Slightly Following A Sharp Fall In Q1 Chart 7BStrong Rebound In Property Investments   Chart 7B shows that housing investments and land purchases have also recovered to near their pre-pandemic levels. Financing restrictions for property developers that were put in place since 2018 have been loosened in H1, which helped to boost real estate investments. We expect the property sector financing conditions to remain accommodative through the rest of this year. Moreover, there is a possibility that the PBoC will lower the 5-year MLF (medium lending facility) rate in Q3. As downward pressures on China's labor market and household income growth intensify, the government is likely to lower the mortgage rate to ease payment constraints on households. Chart 8Chinese Stocks Rallied Through Frictions Over Hong Kong Despite the passing of China’s new and controversial national security law for Hong Kong on June 30 and the subsequently announced sanctions from the US government, stock prices in both China’s onshore and offshore markets rallied (Chart 8). While we agree the US may impose further and more concrete sanctions on China during the months leading up to the November US presidential election, our preliminary assessment points to a limited economic cost on China from the existing US sanctions. The removal of Hong Kong’s special trade status will subject Hong Kong’s export goods to the same tariffs the US levies on Chinese exports. But the raised tariffs will barely make a dent in Hong Kong or mainland China’s export status quo. Hong Kong’s economy consists mainly of the financial, logistical and services sectors. The manufacturing sector only accounts for 1% of its overall economy. Chart 9 shows that Hong Kong’s exports to the US only accounted for around 1% of its total exports and 1.3% of its GDP in 2019. More importantly, of the $5 billion goods Hong Kong exports to the US, only 10% is actually produced in Hong Kong. Most of Hong Kong's exports to the US are goods produced in China that are re-exported through Hong Kong, which are already subject to the same tariffs as the goods China exports to the US directly.3 On the other hand, US exports to Hong Kong accounts for 2% of its total exports, with a trade surplus of about $30 billion in the past two years (Chart 9, bottom panel). The US trade surplus with Hong Kong has drastically reduced since the US-China trade war broke out in 2018, suggesting that the US has already imposed restrictions on its export goods to mainland China through Hong Kong. Moreover, the large trade surplus with Hong Kong as well as China’s commitment to the Phase One trade deal may be part of the reason President Trump is unwilling to impose more substantial sanctions on China right now. The US senate and house have also passed a bill which, if signed and implemented by President Trump, will allow the US government to levy any foreign financial institutions for knowingly conducting business with individuals who are involved in jeopardizing Hong Kong’s autonomy. Chinese banks with operations in the US will be mostly exposed to such sanctions. However, Chinese banks are largely domestic-focused with very low reliance on foreign-currency funding (Chart 10). Hence, the direct impact of a deteriorating operating environment in the US will be limited on Chinese banks. Chart 9Trade Sanctions On Hong Kong Exports Have A Minimum Impact On Its Local Economy Chart 10Chinese Banking Sector Stock Performance Is Largely Driven By Domestic Policy Factors   Qingyun Xu, CFA Senior Analyst qingyunx@bcaresearch.com Jing Sima China Strategist jings@bcaresearch.com   Footnotes 1 Please see China Investment Strategy Weekly Report "Upgrading Chinese Stocks To Overweight," dated July 1, 2020, available at cis.bcaresearch.com 2 iiMediaReport, Analysis report on current situation and development trend of Chinese employment entrepreneurship market in 2020. 3 Please see Nicholas Lardy, “Trump’s latest move on Hong Kong is bluster”. Peterson Institute For International Economies, dated June 1, 2020.   Cyclical Investment Stance Equity Sector Recommendations
In mid-April we boosted the S&P internet retail index to overweight as it was poised to benefit from the shifting consumer spending habits due to the COVID-19 outbreak. True, the “amazonification” of the economy is not a new phenomenon, but COVID-19 acted as an accelerant to an already powerful uptrend in online retail sales (see chart). Today, our overweight in the S&P internet retail index surpassed the 29% relative return mark since the mid-April inception, which compels us to protect profits by instituting a stop at the 20% mark. Bottom Line: We remain overweight the S&P internet retail index, but from a portfolio risk management perspective today we add a stop at the 20% relative return mark in order to protect profits.   ​​​​​​​
Highlights Chart 1More Stimulus Required The unemployment rate fell for the second consecutive month in June, down to 11.1% from a peak of 14.7%. Bond markets shrugged off the news, and rightly so, as this recent pace of improvement is unlikely to continue through July and August. The main reason for pessimism is that the number of new COVID cases started rising again in late June, consistent with a pause in high-frequency economic indicators (Chart 1). This second wave of infections will slow the pace at which furloughed employees are returning to work, a development that has been responsible for all of the unemployment rate’s recent improvement. Beneath the surface, the number of permanently unemployed continues to rise (Chart 1, bottom panel). The implication for policymakers is that it is too early to back away from fiscal stimulus. In particular, expanded unemployment benefits must be extended, in some form, beyond the July 31 expiry date. We are confident that Congress will eventually pass another round of stimulus, though it may not make the July 31 deadline. For investors, bond yields are still biased higher on a 6-12 month horizon, but their near-term outlook is now in the hands of Congress. We continue to recommend benchmark portfolio duration, along with several tactical overlay trades designed to profit from higher yields. Feature Investment Grade: Overweight Chart 2Investment Grade Market Overview Investment grade corporate bonds outperformed the duration-equivalent Treasury index by 189 basis points in June, bringing year-to-date excess returns up to -529 bps. The average index spread tightened 24 bps on the month. We still view investment grade corporates as attractively valued, with the index’s 12-month breakeven spread only just below its historical median (Chart 2). With the Fed providing strong backing for the market, we are confident that investment grade corporate bond spreads will continue to tighten. As such, we want to focus on cyclical segments of the market that tend to outperform during periods of spread tightening (panel 2). One caveat is that the Fed’s lending facilities can’t prevent ratings downgrades (bottom panel). Therefore, we also want to avoid sectors and issuers that are mostly likely to be downgraded. High-quality Baa-rated issues are the sweet spot that we want to target. Those securities will tend to outperform the overall index as spreads tighten, but are not likely to be downgraded. Subordinate bank bonds are a prime example of securities that exist within that sweet spot.1 In recent weeks we published deep dives into several different industry groups within the corporate bond market. In addition to our overweight recommendation for subordinate bank bonds, we also recommend an overweight allocation to investment grade Healthcare bonds.2 We advise underweight allocations to investment grade Technology and Pharmaceutical bonds.3 Table 3ACorporate Sector Relative Valuation And Recommended Allocation* Table 3BCorporate Sector Risk Vs. Reward* High-Yield: Neutral High-Yield outperformed the duration-equivalent Treasury index by 90 basis points in June, bringing year-to-date excess returns up to -855 bps (Chart 3A). The average index spread tightened 11 bps on the month and has tightened 500 bps since the Fed unveiled its corporate bond purchase programs on March 23. We reiterated our call to overweight Ba-rated junk bonds and underweight bonds rated B and below in a recent report.4 In that report, we noted that high-yield spreads appear tight relative to fundamentals across the board, but that the Ba-rated credit tier will continue to perform well because most issuers are eligible for support through the Fed’s emergency lending facilities. Specifically, we showed that “moderate” and “severe” default scenarios for the next 12 months – defined as a 9% and 12% default rate, respectively, with a 25% recovery rate – would lead to a negative excess spread for B-rated bonds (Chart 3B). The same holds true for lower-rated credits. Chart 3AHigh-Yield Market Overview Chart 3BB-Rated Excess Return Scenarios We appear to be on track for that sort of outcome. Moody’s recorded 20 defaults in May, matching the worst month of the 2015/16 commodity bust and bringing the trailing 12-month default rate up to 6.4%. Meanwhile, the trailing 12-month recovery rate is a meagre 22%. At the industry level, in recent reports we recommended an overweight allocation to high-yield Technology bonds5 and underweight allocations to high-yield Healthcare and Pharmaceuticals.6 MBS: Underweight Chart 4MBS Market Overview Mortgage-Backed Securities underperformed the duration-equivalent Treasury index by 13 basis points in June, dragging year-to-date excess returns down to -44 bps. The conventional 30-year MBS index option-adjusted spread (OAS) has tightened 5 bps since the end of May, but it still offers a pick-up relative to other comparable sectors. The MBS index OAS stands at 95 bps, greater than the 81 bps offered by Aa-rated corporate bonds (Chart 4), the 54 bps offered by Aaa-rated consumer ABS and the 76 bps offered by Agency CMBS. At some point this spread advantage will present a buying opportunity, but we think it is still too soon. As we wrote in a recent report, we are concerned that the elevated primary mortgage spread is a warning that refinancing risk could flare in the second half of this year (bottom panel).7 The primary mortgage rate did not match the decline in Treasury yields seen earlier this year. Essentially, this means that even if Treasury yields are unchanged in 2020 H2, a further 50 bps drop in the mortgage rate cannot be ruled out. Such a move would lead to a significant increase in prepayment losses, one that is not priced into current index spreads. While the index OAS has widened lately, expected prepayment losses (aka option cost) have dropped (panels 2 & 3). We are concerned this decline in expected prepayment losses has gone too far and that, as a result, the current index OAS is overstated. Government-Related:  Underweight Chart 5Government-Related Market Overview The Government-Related index outperformed the duration-equivalent Treasury index by 78 basis points in June, bringing year-to-date excess returns up to -399 bps. Sovereign debt outperformed duration-equivalent Treasuries by 112 bps on the month, bringing year-to-date excess returns up to -828 bps. Foreign Agencies outperformed the Treasury benchmark by 37 bps in June, bringing year-to-date excess returns up to -764 bps. Local Authority debt outperformed Treasuries by 268 bps in June, bringing year-to-date excess returns up to -439 bps. Domestic Agency bonds outperformed by 14 bps, bringing year-to-date excess returns up to -58 bps. Supranationals outperformed by 12 bps, bringing year-to-date excess returns up to -19 bps. We updated our outlook for USD-denominated Emerging Market (EM) Sovereign bonds in a recent report.8 In that report we posited that valuation and currency trends are the primary drivers of EM sovereign debt performance (Chart 5). On valuation, we noted that the USD sovereign bonds of: Mexico, Colombia, UAE, Saudi Arabia, Qatar, Indonesia, Malaysia and South Africa all offer a spread pick-up relative to US corporate bonds of the same credit rating and duration. However, of those countries that offer attractive spreads, most have currencies that look vulnerable based on the ratio of exports to foreign debt obligations. In general, we don’t see a compelling case for USD-denominated sovereigns based on value and currency outlook, although Mexican debt stands out as looking attractive on a risk/reward basis. Municipal Bonds: Overweight Chart 6Municipal Market Overview Municipal bonds outperformed the duration-equivalent Treasury index by 68 basis points in June, bringing year-to-date excess returns up to -582 bps (before adjusting for the tax advantage). Municipal bond spreads versus Treasuries widened in June and continue to look attractive compared to typical historical levels. In fact, both the 2-year and 10-year Aaa Muni yields are higher than the same maturity Treasury yield, despite municipal debt’s tax exempt status (Chart 6). Municipal bonds are also attractively priced relative to corporate bonds across the entire investment grade credit spectrum, as we demonstrated in a recent report.9 In that report we also mentioned our concern about the less-than-generous pricing offered by the Fed’s Municipal Liquidity Facility (MLF). At present, MLF funds are only available at a cost that is well above current market prices (panel 3). This means that the MLF won’t help push muni yields lower from current levels. Despite the MLF’s shortcomings, we aren’t yet ready to downgrade our muni allocation. For one thing, federal assistance to state & local governments will probably be the centerpiece of the forthcoming stimulus bill. The Fed could also feel pressure to reduce MLF pricing if the stimulus is delayed. Further, while the budget pressure facing municipal governments is immense, states are also holding very high rainy day fund balances (bottom panel). This will help cushion the blow and lessen the risk of ratings downgrades. Treasury Curve: Buy 5-Year Bullet Versus 2/10 Barbell Chart 7Treasury Yield Curve Overview The Treasury curve was mostly unchanged in June. Both the 2-year/10-year and 5-year/30-year slopes steepened 1 bp on the month, reaching 50 bps and 112 bps, respectively. With no expectation – from either the Fed or market participants – that the fed funds rate will be lifted before the end of 2022, short-maturity yield volatility will stay low and the Treasury slope will trade directionally with the level of yields for the foreseeable future. The yield curve will steepen when yields rise and flatten when they fall. With that in mind, we continue to recommend duration-neutral yield curve steepeners that will profit from moderately higher yields, but that won’t decrease the average duration of your portfolio. Specifically, we recommend going long the 5-year bullet and short a duration-matched 2/10 barbell.10 In a recent report we noted that valuation is a concern with this recommended position.11 The 5-year yield is below the yield on the duration-matched 2/10 barbell (Chart 7), and the 5-year bullet also looks expensive on our yield curve models (Appendix B). However, we also noted that the 5-year bullet traded at much more expensive levels during the last zero-lower-bound period between 2010 and 2013 (bottom panel). With short rates once again pinned at zero, we expect the 5-year bullet will once again hit levels of extreme over-valuation. TIPS: Overweight Chart 8TIPS Market Overview TIPS outperformed the duration-equivalent nominal Treasury index by 99 basis points in June, bringing year-to-date excess returns up to -400 bps. The 10-year TIPS breakeven inflation rate rose 19 bps on the month and currently sits at 1.39%. The 5-year/5-year forward TIPS breakeven inflation rate rose 5 bps on the month and currently sits at 1.62%. TIPS breakevens have moved up rapidly during the past couple of months, but they remain low compared to average historical levels. Our own Adaptive Expectations Model suggests that the 10-year TIPS breakeven inflation rate should rise to 1.53% during the next 12 months (Chart 8).12 On inflation, it also looks like we are past the cyclical trough. The WTI oil price is back up to $41 per barrel after having briefly turned negative (panel 4), and trimmed mean inflation measures suggest that the massive drop in core is overdone (panel 3). If inflation has indeed troughed, then the real yield curve will continue to steepen as near-term inflation expectations move higher. We have been advocating real yield curve steepeners since the oil price turned negative in April.13 The curve has steepened considerably since then, but still has upside relative to levels seen during the past few years (bottom panel). ABS: Overweight Chart 9ABS Market Overview Asset-Backed Securities outperformed the duration-equivalent Treasury index by 103 basis points in June, bringing year-to-date excess returns up to -2 bps. Aaa-rated ABS outperformed duration-equivalent Treasuries by 8 bps in June, bringing year-to-date excess returns up to +7 bps. Meanwhile, non-Aaa ABS outperformed by 233 bps in June, bringing year-to-date excess returns up to -88 bps (Chart 9). Aaa ABS are a high conviction overweight, given that spreads remain elevated compared to historical levels and that the sector benefits from Fed support through the Term Asset-Backed Securities Loan Facility (TALF). However, spreads are even more attractive in non-Aaa ABS and we recommend owning those securities as well. This is despite the fact that non-Aaa bonds are not eligible for TALF. We explained our rationale for owning non-Aaa consumer ABS in a recent report.14  We noted that the stimulus received from the CARES act caused real personal income to increase significantly during the past few months and, faced with fewer spending opportunities, households used that windfall to pay down consumer debt (bottom panel). Granted, further fiscal stimulus will be needed to sustain those recent income gains. But we are sufficiently confident that a follow-up stimulus bill will be passed that we advocate moving down in quality within consumer ABS. Non-Agency CMBS:  Overweight  Neutral Chart 10CMBS Market Overview Non-Agency Commercial Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 211 basis points in June, bringing year-to-date excess returns up to -501 bps. Aaa CMBS outperformed Treasuries by 164 bps in June, bringing year-to-date excess returns up to -233 bps. Non-Aaa CMBS outperformed by 407 bps in June, bringing year-to-date excess returns up to -1451 bps (Chart 10). Our view of non-agency CMBS has not changed during the past month, but we realize that it is more accurately described as a “Neutral” allocation as opposed to “Overweight”. Our view is that we want an overweight allocation to Aaa-rated CMBS because that sector offers an attractive spread relative to history and benefits from Fed support through TALF. However, we advocate an underweight allocation to non-Aaa non-agency CMBS. Those securities are not eligible for TALF and, unlike consumer ABS, their fundamental credit outlook has deteriorated significantly as a result of the COVID recession.15  Agency CMBS: Overweight Agency CMBS outperformed the duration-equivalent Treasury index by 104 basis points in June, bringing year-to-date excess returns up to -58 bps. The average index spread tightened 19 bps on the month to 77 bps, still well above typical historical levels (bottom panel). The Fed is supporting the Agency CMBS market by directly purchasing the securities as part of its Agency MBS purchase program. The combination of strong Fed support and elevated spreads makes the sector a high conviction overweight. Ryan Swift US Bond Strategist rswift@bcaresearch.com 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. Performance Since March 23 Announcement Of Emergency Fed Facilities Appendix B: Butterfly Strategy Valuations The following tables present the current read-outs from our butterfly spread models. We use these models to identify opportunities to take duration-neutral positions across the Treasury curve. The following two Special Reports explain the models in more detail: US Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com US Bond Strategy Special Report, “More Bullets, Barbells And Butterflies”, dated May 15, 2018, available at usbs.bcaresearch.com Table 4 shows the raw residuals from each model. A positive value indicates that the bullet is cheap relative to the duration-matched barbell. A negative value indicates that the barbell is cheap relative to the bullet. Table 4Butterfly Strategy Valuation: Raw Residuals In Basis Points (As Of July 3, 2020) Table 5 scales the raw residuals in Table 4 by their historical means and standard deviations. This facilitates comparison between the different butterfly spreads. Table 5Butterfly Strategy Valuation: Standardized Residuals (As Of July 3, 2020) Table 6 flips the models on their heads. It shows the change in the slope between the two barbell maturities that must be realized during the next six months to make returns between the bullet and barbell equal. For example, a reading of 57 bps in the 5 over 2/10 cell means that we would only expect the 5-year to outperform the 2/10 if the 2/10 slope steepens by more than 57 bps during the next six months. Otherwise, we would expect the 2/10 barbell to outperform the 5-year bullet. Table 6Discounted Slope Change During Next 6 Months (BPs) Appendix C: Excess Return Bond Map The Excess Return Bond Map is used to assess the relative risk/reward trade-off between different sectors of the US bond market. It is a purely computational exercise and does not impose any macroeconomic view. The Map’s vertical axis shows 12-month expected excess returns. These are proxied by each sector’s option-adjusted spread. Sectors plotting further toward the top of the Map have higher expected returns and vice-versa. Our novel risk measure called the “Risk Of Losing 100 bps” is shown on the Map’s horizontal axis. To calculate it, we first compute the spread widening required on a 12-month horizon for each sector to lose 100 bps or more relative to a duration-matched position in Treasury securities. Then, we divide that amount of spread widening by each sector’s historical spread volatility. The end result is the number of standard deviations of 12-month spread widening required for each sector to lose 100 bps or more versus a position in Treasuries. Lower risk sectors plot further to the right of the Map, and higher risk sectors plot further to the left. Chart 11Excess Return Bond Map (As Of July 3, 2020) Footnotes 1 Please see US Bond Strategy Weekly Report, “The Case Against The Money Supply”, dated June 30, 2020, available at usbs.bcaresearch.com 2 Please see US Bond Strategy Weekly Report, “Assessing Healthcare & Pharma Bonds In A Pandemic”, dated June 9, 2020, available at usbs.bcaresearch.com 3 Please see US Bond Strategy Weekly Report, “Take A Look At High-Yield Technology Bonds”, dated June 23, 2020, available at usbs.bcaresearch.com 4 Please see US Bond Strategy Weekly Report, “No Holding Back”, dated June 16, 2020, available at usbs.bcaresearch.com 5 Please see US Bond Strategy Weekly Report, “Take A Look At High-Yield Technology Bonds”, dated June 23, 2020, available at usbs.bcaresearch.com 6 Please see US Bond Strategy Weekly Report, “Assessing Healthcare & Pharma Bonds In A Pandemic”, dated June 9, 2020, available at usbs.bcaresearch.com 7 Please see US Bond Strategy Weekly Report, “No Holding Back”, dated June 16, 2020, available at usbs.bcaresearch.com 8 Please see US Bond Strategy Weekly Report, “The Treasury Market Amid Surging Supply”, dated May 12, 2020, available at usbs.bcaresearch.com 9 Please see US Bond Strategy Weekly Report, “Bonds Are Vulnerable As North America Re-Opens”, dated May 26, 2020, available at usbs.bcaresearch.com 10 The rationale for why this position will profit from curve steepening is found in US Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com 11 Please see US Bond Strategy Weekly Report, “Take A Look At High-Yield Technology Bonds”, dated June 23, 2020, available at usbs.bcaresearch.com 12 Please see US Bond Strategy Weekly Report, “Take A Look At High-Yield Technology Bonds”, dated June 23, 2020, available at usbs.bcaresearch.com 13 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 14 Please see US Bond Strategy Weekly Report, “No Holding Back”, dated June 16, 2020, available at usbs.bcaresearch.com 15 We discussed our outlook for CMBS in more detail in US Bond Strategy Weekly Report, “No Holding Back”, dated June 16, 2020, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation
The GAA DM Equity Country Allocation model is updated as of June 30, 2020.  The model has added another 6 points to the US overweight at the expense of the euro area, mainly Germany, Netherlands, and Spain. The driving force for this change is from the relatively favorable momentum and liquidity indicators, despite an unfavorable valuation indicator. Now the top four overweight countries are the US, Spain, Australia, and Sweden, while the biggest four underweight countries remain Japan, the UK, France, and Switzerland, as shown in Table 1.  Table 1Model Allocation Vs. Benchmark Weights As shown in Table 2 and Charts 1, 2 and 3, the overall model outperformed the MSCI World benchmark in June by 49 bps. The Level 2 model outperformed its benchmark by 162 bps, thanks largely to the underweight in Japan and the UK, as well as the overweight in Australia and Spain. The Level 1 model underperformed slightly by 3 bps due to the slight overweight in the US. Since going live, the overall model has outperformed its MSCI World benchmark by 260 bps, with 463 bps of outperformance from the Level 2 model, and 29 bps of outperformance from the Level 1 model. Table 2Performance (Total Returns In USD %) Chart 1GAA DM Model Vs. MSCI World Chart 2GAA US Vs. Non US Model (Level 1)     Chart 3GAA Non US Model (Level 2) For more on historical performance, please refer to our website https://www.bcaresearch.com/site/trades/allocation_performance/latest/G…. For more details on the models, please see Special Report, “Global Equity Allocation: Introducing The Developed Markets Country Allocation Model,” dated January 29, 2016, available at https://gaa.bcaresearch.com. Please note that the overall country and sector recommendations published in our Monthly Portfolio Update and Quarterly Portfolio Outlook use the results of these quantitative models as one input, but do not stick slavishly to them. We believe that models are a useful check, but structural changes and unquantifiable factors need to be considered as well when making overall recommendations. GAA Equity Sector Selection Model The GAA Equity Sector Model (Chart 4) is updated as of June 30, 2020. Chart 4Overall Model Performance The model’s relative tilts between cyclicals and defensives have changed compared to last month. The model maintains its cyclical stance driven by an improvement in its global growth proxy. The model reversed its overweight position on the only defensive sector where it was previously overweight, Healthcare, given a deterioration in its momentum component. Over the past month, the model outperformed its benchmark by 42 basis points. Year-to-date, the model has outperformed its benchmark by 109 basis points, and 108 basis points since inception.   Table 3Overall Model Performance Table 4Current Model Allocations The model’s global growth proxy improved – driven by EM currencies and rising metal prices, and therefore continues to remain positive on cyclical sectors. Global monetary easing and low rates should keep the liquidity component favoring a mixed bag of cyclical and defensive sectors. The valuation component remains muted across all sectors except Energy. However, multiple sectors continue to be near the expensive and cheap zones – mainly Info Tech and Consumer Discretionary (expensive), and Real Estate and Consumer Staples (cheap). The model awaits confirming momentum signals to change recommendations for those sectors.  The model is now overweight four cyclical sectors in total. These are Information Technology, Consumer Discretionary, Communication Services, and Materials. For more details on the model, please see the Special Report “Introducing the GAA Equity Sector Selection Model”, dated July 27, 2016, as well as the Sector Selection Model section in the Special Alert “GAA Quant Model Updates,” dated March 1, 2019, available at https://gaa.bcaresearch.com.    Xiaoli Tang Associate Vice President xiaoliT@bcaresearch.com Amr Hanafy  Senior Analyst amrh@bcaresearch.com  
Highlights The cost of housing is the one item that has held up US inflation vis a vis European inflation in recent years. But as the cost of housing flips from being a strong tailwind to a strong headwind, US inflation is about to converge down to European levels and stay there. This means that US and European bond yields will also converge. If the US 30-year yield converges down to the UK 30-year yield, it would equate to a price appreciation of 15 percent. Underweight the dollar versus the most defensive European currency, the Swiss franc. Continue to favour long-duration defensive equities, technology and healthcare, whose net present values are most leveraged to a decline in the US T-bond yield. Fractal trade: long GBP/RUB. Feature Chart I-1Housing Cost Inflation Has Been Subdued In The UK... Chart I-2...But Running Hot In The US. What Happens Next? One of the biggest ongoing costs that we face is the cost of housing. Yet economists remain perplexed on how to measure this cost in a consumer price index. For people who rent their homes, the issue is straightforward – the rent paid every month captures the cost of the housing services that are consumed. But for owner occupiers, the biggest ongoing cost tends to be the mortgage interest payment. Therein lies a problem. Measuring Housing Costs Is A Challenge A consumer price index aims to measure the costs of consumption. But a mortgage interest payment measures the cost of borrowing money, rather than a cost of consumption. Therefore, capturing owner occupiers’ housing costs poses a challenge, and economists have developed several theoretical approaches to measure them (Box I-1). Box I-1The Different Methods Of Measuring Owner Occupiers’ Housing Costs This report focusses on the approach known as rental equivalence or ‘owners’ equivalent rent’. The reason is that rental equivalence is the approach used in the UK CPI including housing (CPIH) – though be aware that the Bank of England still targets inflation using the CPI excluding housing. Rental equivalence is also the approach used in the US CPI and PCE, and the Federal Reserve does target inflation including housing. The treatment of housing costs in inflation matters enormously. The UK versus US comparison reveals something odd. In the UK, owner occupiers’ housing inflation has been running well below overall inflation, whereas in the US it has been running hot (Chart I-1 and Chart I-2). In fact, remove the 25 percent weighting to owners’ equivalent rent from the US consumer price index – to make it comparable with Europe – and the US inflation rate would now be one of the lowest in the world at minus 1 percent! (Chart I-3). Hence, the treatment of housing costs in inflation matters enormously. Chart I-3Excluding Owners' Equivalent Rent, US Inflation Is Minus 1 Percent What Is Driving Housing Costs? A UK Versus US Comparison Rental equivalence uses the rent paid for an equivalent house as a proxy for the costs faced by an owner occupier. The approach answers the question: “how much rent would I have to pay to live in a home like mine?” In other words, the housing services are valued by looking at the cost of the next best alternative to owning the home, namely renting an identical or near-identical property. As rental equivalence aims to measure the cost of housing services rather than the asset value of the house, it should not be expected to move in line with house prices in the short-term. Indeed, the rent for a property is likely to be lower in relation to the house price when the monthly mortgage payment is lower. This is because a lower monthly mortgage payment makes it more affordable to own a house, pushing down the prices of rents and rental equivalence. Economists remain perplexed on how to measure housing costs in a consumer price index. In the UK, mortgages tend to have a variable interest rate linked to the Bank of England policy rate. Hence, the change in short-term mortgage rates explains the profile of housing cost inflation. For the past few years, UK owner occupiers’ housing inflation has been subdued because short-term mortgage rates have been drifting down (Chart I-4). Chart I-4UK Owner Occupiers' Housing Cost Inflation Tracks Changes In The Mortgage Rate But in the US, mortgages tend to have fixed rates resulting in a different explanation for the profile of housing cost inflation. US owners’ equivalent rent inflation moves in lockstep with actual rent inflation. In fact, the two series are almost indistinguishable (Chart I-5). Raising the question: what drives US rent inflation? Empirically, the most important driver is the (inverted) unemployment rate – which establishes the number of people who can rent a property. Chart I-5US Owners' Equivalent Rent Tracks Actual Rent Inflation This leads to a crucial finding. The last three times that the US unemployment rate moved into the high single digits – in the recessions of the early 1980s, early 1990s, and 2008 – rent inflation plus owners’ equivalent rent inflation flipped from being a strong tailwind to core inflation into a very strong headwind. Given the consistent relationship in each of the last three recessions, and with US unemployment rate now running in double digits, only a brave man would bet on it being any different in the 2020 recession (Chart I-6). Chart I-6Whenever US Unemployment Surges, Shelter Inflation Flips From An Inflation Tailwind To An Inflation Headwind The combination of rent plus owners’ equivalent rent – shelter – comprises 34 percent of the US consumer price index, 42 percent of the core CPI, as well as a hefty weighting in the core PCE. It is the one item that has held up US core inflation vis a vis European core inflation in recent years (Chart I-7). But as shelter inflation flips from being a strong tailwind to a strong headwind, US inflation is about to converge down to European levels and stay there. Chart I-7Shelter Has Propped Up US Core Inflation... But For How Much Longer? The Implications Of Converging Inflation As US inflation converges down to European levels, the last few years of divergence in US bond yields from European yields will prove to be a brief aberration. Before 2016, US and European yields were joined at the hip. It is highly likely that they will soon re-join at the hip (Chart I-8 and Chart I-9). Chart I-8The Last Few Years Of Divergence Between US And European Bond Yields... Chart I-9...Will Prove To Be A Brief ##br##Aberration All of which reinforces three of our existing investment recommendations: Stay overweight US T-bonds versus high-quality European government bonds. In fact, if the US 30-year yield converges down to the UK 30-year yield, it would equate to a price appreciation of 15 percent. Meaning that an absolute overweight to the US long bond will also reap rewards. Turning to currencies, yield convergence should be bearish for the dollar versus European currencies. That said, the dollar has the merit of being well bid during periods of economic and financial stress which might prove to be regular occurrences in the coming year. On this basis, the best strategy is to underweight the dollar versus the most defensive European currency, the Swiss franc. If the US 30-year yield converges down to the UK 30-year yield, it would equate to a price appreciation of 15 percent. Finally, in the equity markets, continue to favour long-duration growth defensives – whose net present values are most leveraged to a decline in the US T-bond yield. This means technology and healthcare. Fractal Trading System* The rally in the Russian rouble is technically stretched and susceptible to a countertrend reversal. Accordingly, this week’s recommended trade is long GBP/RUB. Set the profit target and symmetrical stop-loss at 3 percent. Chart I-10GBP/RUB In other trades, long Australia versus New Zealand closed at the end of its 65 day holding period flat. The rolling 1-year 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.   Dhaval Joshi Chief European Investment Strategist dhaval@bcaresearch.com Fractal Trading System   Cyclical Recommendations Structural Recommendations Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields   Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations  
Highlights We are moving our tactical call on Chinese stocks from neutral to overweight, bringing it inline with our cyclical stance on Chinese equities. Our cyclical overweight stance is supported by several factors: the rate of recovery in China’s economy and corporate profits should outpace the rest of the world in the next 9-12 months and valuations in Chinese stocks are relatively cheap. In the near term, compared with the tug-of-war in the US between resuming business activities and containing a second COVID-19 wave, China has a lower risk of a major second wave and re-lockdown of its economy. The recent request by China’s central government for banks to forgo a large portion of this year’s profits should have very limited effect on China’s overall stock performance.  Feature Chinese stocks have fewer downside risks compared to their global counterparts, which were buffeted this past week by escalating COVID-19 case counts in the US and a slower global economy recovery according to IMF estimates. Chart 1Overweight Chinese Stocks We have been tactically neutral on Chinese stocks since early April, due to heightened uncertainties about the path of the global pandemic and geopolitical tensions between the US and China.1 These uncertainties remain in place.  Nevertheless, against the backdrop of a bleak outlook in normalizing global economic activity, the pandemic containment in China has been relatively successful and the nation’s economic outlook is slightly more positive. This argues for overweighting Chinese stocks in a global equity portfolio, on both tactical (0-3 months) and cyclical (6-12 months) time horizons (Chart 1).  We are initiating two new trades: long Chinese stocks versus global benchmarks, in both onshore and offshore equity markets. At its June 17th State Council meeting, China’s central government asked that commercial banks give up 1.5 trillion yuan in profits and cap profit growth below 10% this year to support the real economy. While this rare government request may further depress the banking sector’s stock performance, we think its negative impact on China’s overall stock market will be minimal.  Furthermore, the request should help to lower corporate financing costs - including the private sector and small businesses – and, therefore, help bolster corporate marginal propensity to invest. The net result will be positive on both China’s economic recovery and overall stock performance in the medium term.  Better Than The Rest Compared to the rest of the world, Chinese stocks should be supported by a more positive economic outlook and relatively cheaper valuations in the next 9 to 12 months.  Chart 2China May Return To Its Trend Growth In 2021 The IMF has downgraded its 2020 global economic growth projection to -4.9% from April’s -3%. According to the IMF’s baseline scenario, China is the only major economy that will still register positive growth this year, albeit very modest. This contrasts with an 8% growth contraction in developed nations and a 4.6% retrenchment in emerging economies excluding China. The IMF estimate also suggests that China’s level of economic output in 2021 will rise above its 2019 level, whereas the US and European GDP levels will remain below their pre-COVID 19 levels (Chart 2). If the global economy recovers at a slower-than-expected rate in the second half of this year, then there will be spillover effects on China through reduced demand for its goods. The IMF projected that global trade will shrink by nearly 12% this year (Chart 3). However, compared with Europe and a majority of EM economies, China’s economy is dominated by domestic rather than external demands (Chart 4). Moreover, a weaker external environment means that Chinese authorities will have to press on the stimulus pedal to avoid an outright growth contraction this year. Chart 3Global Trade Will Remain Depressed This Year... Chart 4...But The Chinese Economy Has Become Less Reliant On External Demand   Industrial profit growth turned positive in May, the first year-over-year increase in 2020. On a year-to-date basis, industrial profits remain in deep contraction (Chart 5). As aggressive credit and fiscal stimulus works its way into the economy, however, we expect China’s industrial profits and GDP to turn modestly positive for the entire year of 2020. Positive annual expansion in China’s industrial profits, even if small, supports a recovery in corporate earnings and stock prices. Chart 5Industrial Profit Growth Should Pick Up Along With The Economy Valuations in Chinese stocks have also become less expensive. Similar to the US and elsewhere, Chinese stock prices have trended upwards ahead of a corporate earnings recovery. Nevertheless, compared with other major economies, Chinese stocks have not diverged from its economic fundamentals as drastically as other major economies (Chart 6). Moreover, Chinese stocks are not traded at extreme multiples as experienced in previous cycles (Chart 7). Chart 6China's Stock Market Rally Less Decoupled From Economic Fundamentals Chart 7Valuations in Chinese Stocks Are Not As Extended As In Previous Cycles Bottom Line: China’s economic outlook for this year and next is better than the rest of the world, while its stocks are currently less overbought. This supports our positive view on Chinese stocks on a cyclical time frame. Lower Near-Term Risks China has been relatively successful in controlling its domestic infection rate compared with the uncertain path of virus containment in the US and most EM economies (Chart 8). China’s steady return to normalcy in business activities warrants a change in our tactical investment call on Chinese stocks from neutral to overweight. Chart 8Mind The Gap China has seen a flare up in domestically transmitted cases since June 11, after successfully containing the virus and reporting only single-digit new cases for nearly two months. However, the new cases have not had any meaningful impact on China’s returning to normalcy in domestic business or consumer activities. This is in sharp contrast with the US where a resurgence in infection rates last week threatened a potential rollback in economic re-openings and the need to increase social distance measures (Chart 9). Indeed, several states in the US have responded to the second wave of virus spread by slowing or stalling reopening efforts. The ongoing tug-of-war between normalizing economic activities and containing the pandemic challenges the sustainability of the US stock rally that started in late March. China’s new COVID cases are concentrated in Beijing and the number of daily new infections has been limited to double digits (Chart 10). Instead of imposing a blanket lockdown as was done in late January and February, the Beijing government has only locked down a few high-risk districts. In the past two weeks the municipal government has also drastically expanded its testing to more than one-third of its 21 million residents, and promptly traced and isolated close contacts of infected people. Chart 9Running Ahead Of Itself? Chart 10Beijing Quickly Brought New Case Numbers Down To Low Double-Digits China’s authoritative style of containing the pandemic leaves little room for error.  The chance is slim that the Chinese government will allow the number of infections, if any were to pop up, to manifest into a major second wave and derail its economic recovery. However, the US will undoubtedly experience some hiccups in the near term as it struggles to contain the virus and reopen its economy. Bottom Line: The near-term risk to China’s economic recovery due to a second wave of infections is lower relative to the rest of the world. A Few Words On Chinese Banks The central government’s request that commercial banks “sacrifice” 1.5 trillion yuan in profits this year will likely further depress the banking sector’s stock performance. However, it should have a limited negative impact on the performance of aggregate Chinese equities for the following reasons: The banking sector currently accounts for around 10% of market caps in both China's onshore and offshore equity markets, limiting the downside risks to the broad market from the sector’s price declines. The tech sector2 has been driving the overall stock performance in both China’s onshore and offshore equity markets (Chart 11). Chinese banks’ market capitalization as a share of the total broad market caps has declined in recent years, while the share of the tech sector has risen substantially (Chart 12). Chart 11The Tech Sector Has Been Driving Chinese Stock Performance Since 2016 Chart 12Banking Sector's Share Of Broad Market Has Been Declining Unlikely its global peers, banking sector's relative performance in both China’s domestic and offshore equity markets are countercyclical; periods of outperformance in banking stocks have been negatively related to rising economic activity and broad market stock prices.3 In other words, China’s banking sector underperforms during an economic recovery. It has been underperforming the broad indexes in both the domestic and investable markets since mid-2018, regardless the sector’s profit growth (Chart 13A and 13B). Chart 13ARegardless Of Profit Growth... Chart 13B...The Banking Sector Underperformed During Economic Recoveries Banks will give up a large portion of this year's profits by offering lower lending rates, cutting fees, deferring loan repayments and granting more unsecured loans to small businesses. Based on our calculations, banks will achieve the 1.5 trillion yuan goal by either lowering their average lending rate by 20bps and/or by expanding loan growth by 15% in the 2nd half of 2020 from last year (Table 1). Both measures will benefit China’s real economy and corporate profits, as well as help to bolster corporate marginal propensity to invest. The net result will be positive on overall stock performance in the medium term.  Table 1Scenarios On How Banks Will Make Up For The 1.5 Trillion Profit “Sacrifice” Bottom Line:  China’s banking sector will continue to underperform, but the impact from a profit reduction this year should have a limited negative impact on Chinese equities. The benefit of a “wealth transfer” from banks to the real economy, however, should more than offset the banking sector’s drag on Chinese stocks. Jing Sima China Strategist jings@bcaresearch.com   Footnotes 1    Please see China Investment Strategy Weekly Report "Investing During A Global Pandemic," dated April 1, 2020, available at cis.bcaresearch.com 2   Please see the footnote in Chart 12 for the tech-related sectors included in China's offshore market and the TMT Index in the A-share market. 3   Please see China Investment Strategy Special Report "A Guide To Chinese Domestic Equity Sector Performance," dated November 27, 2019, available at cis.bcaresearch.com Cyclical Investment Stance Equity Sector Recommendations
Highlights Money Supply Drivers: About 70% of the unprecedented increase in broad money supply is the result of the Fed’s asset purchase activity. The remaining 30% is due to an uptick in C&I loan growth, almost all of which is from nonfinancial firms tapping existing credit lines, an activity that will taper off in the coming months. Money Supply Impact: We don’t find broad money supply measures (M1 and M2) to be useful indicators of economic growth, inflation or financial asset performance. Bank Bonds: After viewing the results of the Fed’s stress tests, we still think the odds of bank ratings downgrades this year are low. Investors should stay overweight subordinate bank bonds. Feature The COVID-19 recession and associated policy response have led to unprecedented moves in a number of economic indicators. In this week’s report we focus on one such move that is particularly difficult to square with the rest of the economic landscape, at least judging by the large volume of client questions we’ve received on the topic. The move in question: Broad money supply growth (M1 & M2) is faster today than at any time since the mid-1940s (Chart 1). This week, we look at what has driven money growth to such heights and consider what it might mean for bond investors. We also update our call to overweight subordinate bank bonds based on last week’s release of the Fed’s bank stress tests. Chart 1Massive Money Growth! Money Supply Drivers The US economy’s broad money supply is more or less the sum total of all the money sitting in bank deposits at any point in time. More specifically, the M1 measure includes currency in circulation, demand deposits and traveler’s checks. The M2 measure includes all of M1 plus savings accounts, time deposits and retail money market funds. Fed asset purchases and bank lending are the two drivers of money supply growth. There are two ways for these broad money supply measures to grow. First, the Fed can purchase securities from the private market. Second, banks can lend money to the private sector. We consider both of these drivers in turn. The Federal Reserve’s Contribution To Money Growth The Fed influences the money supply by changing the amount of reserves in the banking system. To see how this works, Table 1 shows recent balance sheets for both the Fed and the aggregate US banking system. Table 1The Link Between The Fed’s Balance Sheet And The Aggregate US Banking System The largest line items on the Fed’s balance sheet are the securities it owns (on the asset side) and the reserves it supplies to the banking system (on the liability side). The Treasury Department’s General Account has also become a sizeable liability for the Fed during the past couple of months (see Box). Box 1: The Large Treasury General Account Is Not Stimulus Waiting To Be Deployed The Treasury General Account (TGA), aka the Treasury Department’s cash account at the Fed, has skyrocketed during the past couple of months and now totals $1.6 trillion (Chart 3). This has prompted more than a few client questions, mostly asking whether this large amount of money represents fiscal stimulus that is waiting to be deployed. Chart 3Treasury Holds A Huge Cash Buffer It does not. Any new fiscal stimulus must be authorized by Congress and with most of the funds from the CARES act having already been paid out, any further fiscal stimulus is contingent upon Congress passing a follow-up bill. So why is the TGA balance so large? The Treasury Department’s job is to finance the federal government’s deficit by issuing bonds. To do this, it must make estimates about what tax revenues and government spending will be in the future. To avoid a situation where it has not issued enough bonds to finance the deficit, it will typically err on the side of caution and issue some extra bonds, holding the proceeds in cash in its account at the Fed. Due to the heightened uncertainty of the current macro environment, it recently decided to target a larger-than-usual cash balance of $800 billion. It even overshot that target during the past couple of months, likely because tax revenues came in higher than expected. Going forward, heightened uncertainty about federal deficit projections will ensure that the Treasury continues to hold an elevated cash balance. However, it will probably try to bring the TGA balance down a bit in the second half of the year, closer to its stated $800 billion target. It will accomplish this by simply issuing fewer T-bills in the second half of the year. This will have the result of increasing the broad money supply through the same mechanism as Fed asset purchases. That is, any drawdown in the TGA increases the amount of reserves supplied on the liability side of the Fed’s balance sheet. When the Fed buys a Treasury security it removes that security from the private market and replaces it with cash in the form of a bank reserve. Those bank reserves are a liability for the Fed, but appear on the asset side of the banking sector’s aggregate balance sheet. Please note that the amount of reserves supplied on the Fed’s balance sheet in Table 1 doesn’t exactly match the amount of reserves shown on the banking sector’s balance sheet. This is only because the numbers were recorded on different days. Turning to the banking sector’s balance sheet, we see that when the amount of reserves increases there are only a few different things that can occur to keep the balance sheet in balance. Banks can accommodate the increase in reserves by reducing the amount of loans or securities they hold. Alternatively, banks can raise capital, borrow in private debt markets or show an increase in deposits. When banks accommodate the increase in reserves by raising deposits, the money supply rises. Charts 2A and 2B show the change in the main items on the aggregate banking system balance sheet since the end of February. First, we see that banks did not reduce their other asset holdings in response to the sharp increase in reserves. Neither did they raise capital or debt. Rather, deposit growth accommodated the entire increase in bank reserves. Chart 2AChange In Commercial Bank Assets: February 26 To June 17, 2020 Chart 2BChange In Commercial Bank Liabilities & Capital: February 26 To June 17, 2020 In fact, deposits have grown by about $2 trillion since February compared to reserve growth of $1.4 trillion. Roughly, we can say that Fed asset purchases are responsible for 70% of the growth in the money supply since then. The remaining 30% is attributable to the second driver of the money supply: bank lending. Bank Lending’s Contribution To Money Growth Looking again at Table 1, we see that an increase in bank loans must also lead to an increase in deposits, unless the bank raises debt and/or capital instead. Further, Chart 2A shows that increased bank lending since February accounts for about 30% of the growth in deposits. However, we expect bank loan growth to moderate in the coming months, easing some of the upward pressure on the money supply. This year's increase in bank loan growth has been driven entirely by C&I loans. A look at bank loan growth by category shows that this year’s increase has been driven entirely by Commercial & Industrial (C&I) loans (Chart 4). Growth in other major loan categories – commercial real estate, residential real estate and consumer – has flagged. Further, the increase in C&I lending has been mostly due to firms drawing on existing credit lines. Chart 4A Spike In C&I Lending The Fed’s Senior Loan Officer Survey for the first quarter of 2020 showed a small increase in C&I loan demand. But the survey also asked about potential reasons for the demand uptick (Chart 5). When faced with that question, 95% of respondents reported that “precautionary demand for cash” was a “very important” reason for increased C&I loan demand in Q1. 71% of respondents also pointed to a lack of internally generated funds as a “very important” reason. Importantly, no respondents reported increased C&I loan demand due to investment needs or M&A activity. Chart 5Possible Reasons For Greater C&I Loan Demand In Q1 2020 The distinction is important. Greater investment needs and M&A activity would suggest an improving economic back-drop, and would imply a more sustainable increase in bank lending. In contrast, there is a limit to how much firms can tap existing credit lines for immediate cash needs, and this activity should taper off during the next few months. Bottom Line: About 70% of the unprecedented increase in broad money supply is the result of the Fed’s asset purchase activity. The remaining 30% is due to an uptick in C&I loan growth, almost all of which is from nonfinancial firms tapping existing credit lines, an activity that will taper off in the coming months. The Implications Of Rapid Money Growth According to some theory and popular thought, there are three possible channels through which rapid money growth could impact the economy and financial markets: Fast money growth could lead to stronger economic growth in the future. Fast money growth could lead to rising inflationary pressures. A larger money supply could suggest that there are more funds available to deploy in financial markets. As such, it could lead to price appreciation in risky financial assets. We are inclined to downplay the importance of M1 and M2 as indicators in all three of these areas, for reasons discussed below. The Money Supply’s Impact On Economic Growth In the past, measures of the broad money supply (M1 and M2) did a good job of forecasting economic growth and were tracked closely (and at times targeted) by the Federal Reserve. But as the banking and monetary systems evolved, M1 and M2 became less important. As Fed Chairman Alan Greenspan explained in 1996:1 At different times in our history a varying set of simple indicators seemed successfully to summarize the state of monetary policy and its relationship to the economy. Thus, during the decades of the 1970s and 1980s, trends in money supply, first M1, then M2, were useful guides. […] Unfortunately, money supply trends veered off path several years ago as a useful summary of the overall economy. Chairman Greenspan’s insight is backed up by the empirical data (Chart 6). Real M2 growth was an excellent leading indicator of economic growth until the early 1990s. The relationship has broken down since then, and in fact, the only reliable trend in Real M2 since the 1990s is that it tends to spike during recessions. Chart 6Broad Money Growth Has Been A Poor Indicator For Economic Activity Since The 1990s The Conference Board also noticed this trend and removed Real M2 from its Leading Economic Indicator in 2012. According to the Conference Board, Real M2 ceased to function as a leading economic indicator because (i) the Fed began targeting interest rates instead of monetary aggregates and (ii) the creation of interest-bearing checking accounts and money market funds increased safe haven demand for M2. The latter helps explain why money growth has surged during the last three recessions. All in all, broad money growth is now a poor indicator for GDP. The Money Supply’s Impact On Inflation Another popular theory is that money growth is a leading indicator of inflation. This stems from the following identity, aka the Equation of Exchange: MV = PY Where: M = money supply, V = velocity of money, P = price level and Y = real output The identity holds, but is of little practical value, mainly because there is no good way to measure (or model) velocity (V) without relying on money growth and nominal GDP (P*Y). This means that an increase in the money supply doesn’t necessarily tell us anything about inflation, because we have no idea how velocity will respond. In fact, many commentators have observed that the stronger empirical correlation is actually between money velocity (PY/M) and core inflation (Chart 7). When nominal GDP growth exceeds money growth, core inflation tends to rise 18 months later. However, this relationship also holds if we remove money supply from the equation entirely (Chart 7, bottom panel). What we’re actually observing is that core inflation tends to lag economic growth by about 18 months. Chart 7Inflation Lags Economic Growth, Not Broad Money Growth Since we’ve already seen that money supply does a poor job forecasting economic growth, it’s clear that indicators such as M1 and M2 don’t improve our ability to forecast inflation, and in fact probably only confuse the picture. The Money Supply’s Impact On Financial Markets BCA’s US Bond Strategy definitely subscribes to the notion that the stance of monetary policy is one of the most important drivers of financial market performance. If the Fed keeps interest rates low and signals to the market that rates will stay low for a long time, then we would expect investors to chase greater returns in riskier assets, driving up the prices of corporate bonds and equities. That being said, the appropriate way to measure the stance of monetary policy is with interest rates. Money supply measures like M1 and M2 are not helpful guides for risk asset performance. We have already seen that an increase in the money supply can only arise via (i) greater bank lending or (ii) the Fed’s purchase of securities and injection of reserves into the banking system. Both of these things are likely to occur when interest rates are low and monetary policy is accommodative. Low interest rates boost loan demand, and large-scale Fed asset purchases are more likely to occur when interest rates are already at the zero-lower-bound. We would argue that it is, in fact, low interest rates that influence both money growth and financial asset prices. The drivers of money supply growth – bank lending and Fed asset purchases – don’t offer any new information beyond what the interest rate already tells us. On loan growth, both loan demand and risk asset price appreciation are functions of low interest rates. In fact, financial markets will respond more quickly to changes in interest rates than will bank lending: Stock prices are included in the Conference Board’s Leading Economic Indicator, while C&I bank lending is included in the Lagging Economic Indicator.2 This means that, practically, any money supply growth that is driven by bank lending is not useful as an indicator for financial asset prices. What about money growth that is driven by Fed asset purchases? Here, we need to distinguish between the signaling impact of Fed asset purchases and any other potential impact that purchases might have on asset prices. In the first half of 2019, financial markets responded to the Fed's dovish interest rate policy, not to its shrinking balance sheet. Though the data are difficult to parse, our reading is that the only meaningful impact of Fed purchases on financial asset prices is through what the purchase announcements signal to markets about the future path of interest rates. To test this theory, we need to search for periods when the Fed’s signaling about its future interest rate policy diverges from its balance sheet policy. That is, we need to find periods when the balance sheet is shrinking and Fed rate guidance is becoming more dovish, or periods when the balance sheet is growing and rate policy is becoming more hawkish. Unfortunately, we can only identify one such period and that is the first half of 2019 when the Fed was simultaneously shrinking its balance sheet and signaling to markets that interest rate policy was becoming more dovish (Chart 8A). During that period, financial markets responded to the more dovish interest rate policy and not to the shrinking of the Fed’s balance sheet (Chart 8B). Bond yields fell, the dollar weakened and both corporate bonds and equities delivered strong returns. Chart 8ARates Policy Trumps Balance Sheet Part I Chart 8BRates Policy Trumps Balance Sheet Part II Bottom Line: We don’t find broad money supply measures (M1 and M2) to be useful indicators of economic growth, inflation or financial asset performance. Subordinate Bank Bonds: Still In The Sweet Spot Chart 9Still In The Sweet Spot Two months ago we made the case for owning subordinate bank bonds.3 The premise for this call is that subordinate bank bonds are a high-quality cyclical sector, exactly the sweet spot of the investment grade corporate bond market that we want to own in the current environment. We expect that extraordinary Fed support for the market will cause investment grade corporate bond spreads to tighten during the next 6-12 months. In that environment we want to focus on cyclical (or “high beta”) bond sectors, ones that outperform the index during periods of spread tightening. However, we also recognize that the Fed’s emergency lending facilities will not prevent a surge in ratings downgrades. Therefore, the sweet spot we want to own is cyclical bonds that are unlikely to be downgraded. High-quality Baa-rated securities, like subordinate bank bonds, fit the bill nicely. Chart 9 shows that the subordinate bank bond index has a duration-times-spread ratio above 1.0.4 This confirms that the sector will trade cyclically relative to the corporate benchmark. We also see that subordinate bank bonds have outperformed both the overall corporate index and other Baa-rated bonds since the start of the year (Chart 9, panel 2). Further, subordinate bank bonds offer a spread pick-up versus the corporate index in both option-adjusted spread terms (Chart 9, panel 3) and 12-month breakeven spread terms (Chart 9, bottom panel).   What Did We Learn From The Stress Tests? Last week the Fed released the results of its 2020 bank stress tests. Results for individual banks were released for a “severely adverse scenario”, the details of which had been publicly available since February. However, because of concern that the “severely adverse scenario” wasn’t dire enough to capture the potential fallout from the pandemic, the Fed also stress tested three COVID-specific scenarios and released results only for the banking system in aggregate. The three scenarios are: A ‘V’-shaped recovery, where economic growth recovers in Q3 and Q4 of this year after contracting significantly in the first half. A ‘U’-shaped recovery, where the growth pick-up in the second half of 2020 is much milder. A ‘W’-shaped recovery, where economic growth recovers in Q3 but then dips again near the end of the year. Table 2 shows a few key assumptions of the three scenarios along with how the actual economy is tracking. It seems that, absent the re-imposition of lock-down measures, the economy is tracking to be in a slightly better place than in any of the three scenarios. Note that the unemployment rate has already peaked below 15%, lower than assumed by any of the three scenarios. Table 2Three Stress Test Scenarios* Chart 10Banks Have Huge Capital Buffers Chart 10 shows the Common Equity Tier 1 Capital Ratio for the aggregate banking sector, and the dashed horizontal lines show how far it would fall in the three different COVID scenarios. The results show that the ‘V’-shaped scenario is manageable for the banking system, but a significant number of banks would run into trouble in the ‘U’ and ‘W’ shaped scenarios.   The good news for bank credit quality is that, based on how the economy is tracking and the prospects for further fiscal stimulus, the worst ‘U’ and ‘W’ shaped scenarios will probably be avoided. Further, the Fed has already suspended share buybacks and capped dividend payouts. It will also re-run the stress tests later this year. Another round of stress tests this year is credit positive, as it will encourage banks to strengthen their capital buffers during the next few months. Bottom Line: After viewing the results of the Fed’s stress tests, we still think the odds of bank ratings downgrades this year are low. Investors should stay overweight subordinate bank bonds. 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 Footnotes 1 https://www.federalreserve.gov/BOARDDOCS/SPEECHES/19961205.htm 2 https://www.conference-board.org/data/bci/index.cfm?id=2160 3 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 4 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. Ryan Swift US Bond Strategist rswift@bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification