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Highlights The economic performance of Sweden, which did not have a lockdown, has been almost as bad as Denmark, which did have a lockdown. This proves that the current recession is not ‘man-made’, it is ‘pandemic-made’. While the pandemic remains in play, investors should maintain a defensive bias to their portfolios: favouring US T-bonds in bond portfolios, and technology and healthcare in equity portfolios. The technology sector has become defensive, largely because it has flipped from hardware dominance to software dominance. A new recommendation is to overweight technology-heavy Netherlands. Fractal trade: short AUD/CHF. Feature Chart I-IASweden: Avoiding A Lockdown Did Not Prevent A Slump In Consumption... Chart I-1B...But Led To Many More ##br##Infections Sweden and Denmark are neighbours. They speak near-identical languages and share a broadly similar culture and demographic. Yet the two countries have followed completely different strategies to halt the coronavirus pandemic. Sweden chose not to impose a lockdown. Instead, it opted for a ‘trust based’ approach, relying on its citizens to act sensibly and appropriately. Whereas Denmark imposed one of Europe’s earliest and most draconian lockdowns. The contrasting approaches of Sweden and neighbouring Denmark provide us with the closest thing to a controlled experiment on pandemic strategies. The Recession Is Not ‘Man-Made’, It Is ‘Pandemic-Made’ The surprising thing is that the economic performance of Sweden, which did not have a lockdown, has been almost as bad as Denmark, which did. This year, the unemployment rates in both economies have surged by 2 percentage points (albeit the latest data is for May in Sweden and April in Denmark). Furthermore, high-frequency measures of consumption show that Sweden suffered almost as severe a contraction as Denmark (Chart of the Week and Chart I-2). Chart I-2Unemployment Has Surged In Both No-Lockdown Sweden And Lockdown Denmark This surprising result challenges the popular view that this global recession is man-made. This view argues that without the government-imposed lockdowns, the global economy would not have entered a tailspin. But if this view is right, then why did consumption crash in Sweden? The simple answer is that in a pandemic, most people will change their behaviour to avoid catching the virus. The cautious behaviour is voluntary, irrespective of whether there is no lockdown, as in Sweden, or there is a lockdown, as in Denmark. People will shun public transport, shopping, and other crowded places, and even think twice about letting their children go to school. In a pandemic, the majority of people will change their behaviour even without a lockdown. But if the cautious behaviour is voluntary, then why impose a lockdown? The answer is that without a lockdown, the majority will behave sensibly to avoid catching the virus, but a minority will take a ‘devil may care’ attitude. In the pandemic, this is critical because less than 10 percent of infected people are responsible for creating 90 percent of all coronavirus infections. If this tiny minority of so-called ‘super-spreaders’ is left unchecked, then the pandemic will let rip. All of which brings us back to Sweden versus Denmark. As a result of not imposing a mandatory lockdown to rein in its super-spreaders, Sweden now has one of the world’s worst coronavirus infection and mortality rates, four times higher than Denmark (Chart I-3, Chart I-4, Chart I-5). Chart I-3No-Lockdown Sweden Has Suffered Many More Deaths Than Lockdown Denmark Chart I-4Avoiding A Lockdown Meant More Infections… Chart I-5…And More ##br##Deaths Put simply, containing the pandemic depends on reining in a minority of super-spreaders. Which explains why no-lockdown Sweden suffered a much worse outbreak of the disease than lockdown Denmark. In contrast, the economy depends on the behaviour of the majority. In a pandemic the majority will voluntarily exercise caution. Which explains why no-lockdown Sweden and lockdown Denmark suffered similar contractions in consumption. Looking ahead, will the widespread adoption of face masks and plexiglass screens change the public’s cautious behaviour? To a certain extent, yes – it will permit essential activities and let people take calculated risks. That said, if you are forced to wear a mask on public transport and in the shops, and you have to spread out in restaurants while being served by a masked waiter, then – rightly or wrongly – you are getting a strong signal: the danger is still out there. Meaning that many people will continue to shun discretionary activities and spending. The upshot is that while the pandemic remains in play, investors should maintain a defensive bias to their portfolios. Explaining Why Technology Is Now Defensive A defensive bias to your portfolio now requires an exposure to technology – because in 2020 the tech sector is behaving like a classic defensive. Its relative performance is correlating positively with the bond price, like other classic defensive sectors such as healthcare (Chart I-6 and Chart I-7). Chart I-6In 2020, Tech Is Behaving Like A Defensive... Chart I-7...Like Healthcare The behaviour of the technology sector in the current recession contrasts with its performance in the global financial crisis of 2008. Back then, it behaved like a classic cyclical – its relative performance correlated negatively with the bond price (Chart I-8). Begging the question: why has the tech sector’s behaviour flipped from cyclical to defensive? Chart I-8In 2008, Tech Behaved Like A Cyclical The main reason is that the tech sector’s composition has flipped from hardware dominance to software dominance. In 2008, the sector market cap had a 65:35 tilt to technology hardware. But today, it is the mirror-image: a 65:35 tilt to computer and software services (Chart I-9). Chart I-9Tech Is More Defensive Now Because It Is Dominated By Software Computer and software services have many defensive characteristics suited to the current environment: For many companies, enterprise software is now business critical. It is a must-have rather than a like-to-have. Computer and software services use a subscription-based revenue model, minimising the dependency on discretionary spending. Computer and software services are helping firms to cut costs through automation and back-office efficiencies as well as facilitating the boom in ‘working from home’. The sector is cash rich. Despite these defensive characteristics, there remains a lingering worry: is the tech sector overvalued? The Rally In Growth Defensives Is Not A Mania Some people fear that the recent run-up in stock markets does not make sense, other than as a ‘Robin Hood’ day-trader fuelled mania. After all, the pandemic is still very much in play, and so are other geopolitical risks, so how can some stock prices be near all-time highs? Yet the recent run-up in growth defensives such as tech and healthcare does make sense. Their valuations have moved in near-perfect lockstep with the bond yield, implying that the rally is based on fundamentals (Chart I-10). Chart I-10Tech And Healthcare Valuations Are Tracking The Bond Yield Simply put, if the 10-year T-bond is going to deliver a pitiful 0.7 percent a year over the next decade, then the prospective return from growth defensives must also compress. It would be absurd to expect these stocks to be priced for high single digit returns. Since late 2018, the decline in growth defensives’ forward earnings yield has broadly tracked the 250bps decline in the 10-year T-bond yield. Given that the forward earnings yield correlates well with the 10-year prospective return, the depressed bond yield is depressing the prospective return from growth defensives – as it should. Tech and healthcare valuations have moved in near-perfect lockstep with the bond yield. But with the pandemic and geopolitical risks menacing in the background, shouldn’t the gap between the prospective return on stocks and bonds – the equity risk premium – be larger? This is open to debate. When bond yields approach the lower bound, the appeal of owning bonds also diminishes because bond prices have limited upside. Nevertheless, the gap between the tech and healthcare forward earnings yield and the bond yield has gone up this year and is much larger than in 2018 (Chart I-11). This suggests that valuations are taking some account of the pandemic and other risks. Moreover, in a longer-term perspective the current gap between the tech and healthcare forward earnings yield and the bond yield, at +4 percent, hardly indicates a mania. In the true mania of 2000, the gap stood at -4 percent! (Chart I-12) Chart I-11The Equity Risk Premium Has Risen In 2020 Chart I-12Tech And Health Care Valuations Are Not In A Mania In summary, until the pandemic is conquered, investors should maintain a defensive bias to their portfolios. Bond investors should overweight US T-bonds versus core European bonds. Equity investors should overweight the growth defensives, technology and healthcare, which implies overweighting the technology-heavy US versus Europe. A new recommendation is to overweight technology-heavy Netherlands. Stay overweight healthcare-heavy Switzerland, and bank-light France and Germany (albeit expect a technical 5 percent underperformance of Germany versus the UK in the coming weeks). And stay underweight bank-heavy Austria. Fractal Trading System* The AUD is technically overbought and vulnerable to a tactical reversal. Accordingly, this week’s recommended trade is short AUD/CHF, with a profit target and symmetrical stop-loss set at 4.2 percent. The rolling 1-year win ratio now stands at 63 percent. Chart I-13AUD/CHF When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. * For more details please see the European Investment Strategy Special Report “Fractals, Liquidity & A Trading Model,” dated December 11, 2014, available at eis.bcaresearch.com. Dhaval Joshi Chief European Investment Strategist dhaval@bcaresearch.com Fractal Trading System Cyclical Recommendations Structural Recommendations Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations
The interplay between hedge funds and retail investors has played a role in fueling the relentless rally in stocks since March 23. As the second wave of infections begins to heat up, this quick pace of purchases increases the risk of a correction. Beyond this…
The European economy has room to catch up to the US. The gap between the euro area and the US economic surprise index lingers near all-time lows. While the European surprise index is recovering, it lags well behind the US indicator, which stands at a record…
BCA Research's US Bond Strategy service recommends holding onto duration-neutral yield curve steepeners, despite unattractive valuations. Specifically, we favor going long the 5-year bullet and short a duration-matched 2/10 barbell. These sorts of…
To bet on higher yields, BCA Research's US Bond Strategy service recommends that investors overweight TIPS versus nominal Treasuries over both short- and long-run horizons. TIPS breakeven inflation rates have moved up considerably since mid-March. Back then,…
Highlights Global Inflation: The worst of the 2020 collapse in global inflation is over; economic growth is starting to rebound, monetary and fiscal policies are highly stimulative, commodity prices are rising and the US dollar is losing some steam. This boosts the investment case for developed market inflation-linked bonds, which appear cheap on our models on a breakeven basis versus nominal government debt. Inflation-Linked Bonds: Starting this week, we are permanently adding inflation-linked bonds as a “discretionary” allocation option in our model bond portfolio framework. We begin with allocations to linkers in the US, Italy and Canada. Tactical Overlay 2.0: We are introducing our revamped Tactical Trade Overlay, using specific securities to implement shorter-term trade ideas in a practical fashion. This week, we begin by initiating inflation-linked bond breakeven trades in the US, Italy and Canada. Feature Chart of the WeekThe Early Days Of An Inflation Expectations Revival With global growth now showing signs of rebounding from the COVID-19 recession as lockdown restrictions ease, inflation expectations in the major developed economies have started to drift upward. Higher inflation breakevens have helped stabilized nominal government bond yields in the majority of countries, even with the latest reads on realized inflation still showing few signs of life (Chart of the Week). In our view, it is still far too soon for bond investors to shift to a below-benchmark stance on overall duration exposure. The threat of a new set of COVID-19 lockdowns is growing, given surging numbers of new infections across much of the southern US and in major emerging economies like Brazil and India. The social and political instability in the US, with elections less than five months away, raises the risk of a renewed flare-up of negative headline risk that can upset overheated equity and credit markets. Amidst all that uncertainty, policymakers worldwide will continue to use aggressive monetary and fiscal stimulus to fight off the risk of an extended recession. That means there is little risk of a big surge in global bond yields from a hawkish repricing of central bank policy expectations over at least the next 6-12 months. At the same time, the extraordinarily loose policy settings, combined with the continued rebound in global commodity prices (most notably, oil), should allow inflation expectations to continue drifting higher. While this will likely also push nominal bond yields higher as well, positioning for wider inflation breakevens remains the “cleaner” way to position for the initial impact of policy reflation. In a report published back on April 28, we introduced a series of valuation models for inflation-linked bonds in the developed economies.1 These models showed that the historic collapse in global oil prices earlier this year, combined with the deflationary impulse from the deep global COVID-19 recession, pushed breakeven inflation rates to levels well below fair value in most countries. Positioning for wider inflation breakevens remains the “cleaner” way to position for the initial impact of policy reflation. This week, we take the output from our inflation breakeven models to determine specific inflation-linked trade recommendations over both strategic (6-12 months) and tactical (0-6 months) time horizons. For the former, we are adding inflation-linked bonds as an allocation option for all countries in our model bond portfolio. For the latter, we are reviving our Tactical Trade Overlay by introducing some specific trade recommendations using actual inflation-linked bonds in the US, Europe and Canada. Why Global Inflation Expectations Have Bottomed The recent pickup in global market-based inflation expectations has occurred even as actual realized headline inflation rates have fallen dangerously close to 0% in the US, euro area and the UK (Chart 2). Canada is now in outright deflation, with the year-over-year rate of headline CPI inflation falling to -0.4% in May. The decline is not fully attributable to the earlier collapse in oil prices, as core inflation rates have also fallen across the developed world. Chart 2A Threat Of Realized Deflation Despite the plunge in realized inflation, inflation expectations have moved higher for both market-based indicators like inflation breakevens and survey-based measures as well. Chart 3Inflation Expectations Improving Everywhere …. Chart 4… Even Within Europe The German ZEW economic research institute - well known for their surveys of economic forecasters for Germany and the major developed countries - also produces inflation expectations surveys for the same countries. In Charts 3 & 4, we show those ZEW inflation expectations measures alongside the breakeven inflation rates for 10-year government bonds in the US, UK, Japan and the euro area including country-level data for Germany, France and Italy. It is clear that the upturn in breakevens has also occurred as a growing number of economic forecasters have started to anticipate a move higher in both economic growth and inflation over the next year. With recent economic data surprising to the upside in the US, China and in much of Europe, a more optimistic view on global growth is a logical reason helping explain why inflation expectations have been drifting higher. Even more so has been a shift in the deflationary momentum stemming from a rising US dollar and falling commodity prices – trends that are in the process of reversing. Perhaps the strongest deflationary force over the past couple of years has been the persistent strength of the US dollar. World export prices have been contracting on a year-over-year basis since December 2018, which has coincided with a similar period of positive annual growth in the trade-weighted US dollar since June 2018 (Chart 5). While the dollar is still at elevated levels, its momentum has started to roll over (middle panel), suggesting less deflationary pressure from the currency. The same can be said for commodity prices, which reflect both the global demand story and the trend in the US dollar as well, given that important industrial commodities like oil and copper are priced in US dollars. With the prices of those commodities off their lows, the annual growth rates of the CRB Energy and Metals indices have bottomed out, implying less global deflationary pressure from commodities (bottom panel). A reflationary boost to the global economy – and to inflation expectations – from a softer dollar is likely over the next 6-12 months. Looking ahead, the US dollar is likely to continue losing strength for two reasons: less-supportive interest rate differentials and improving global growth (Chart 6). The Fed’s aggressive interest rate cuts over the past year have eliminated much of the attractive carry that helped fuel the dollar’s rise over the past few years. At the same time, the US dollar remains an “anti-growth” currency that tends to weaken during periods of improving global growth, and vice versa. Chart 5Easing Of Disinflationary Pressures From The USD & Commodities Chart 6A Softer USD Will Help Lift Global Inflation Expectations With global growth starting to emerge from the COVID-19 recession, the US dollar is now more exposed to less attractive interest rate differentials. This suggests that a reflationary boost to the global economy – and to inflation expectations – from a softer dollar is likely over the next 6-12 months. Chart 7Rising Oil Prices Will Help Lift Global Inflation Expectations The same can be said for commodity prices like oil, which have considerable upside as global growth improves. Our colleagues at BCA Research Commodity & Energy Strategy are quite bullish on the outlook for oil over the next 12-18 months, given the improved demand/supply balance and aggressive global monetary and fiscal stimulus. Their expect the Brent benchmark to rise to $46/bbl by the end of 2020 and $73/bbl by the end of 2021 – levels that would push inflation expectations in the US and other major developed markets higher given the usual strong correlation between oil and breakevens (Chart 7).2 Summing it all up, the trends that have helped stabilize and lift global inflation expectations look set to continue over the next 6-12 months. Bottom Line: The worst of the 2020 collapse in global inflation is over; economic growth is starting to rebound, monetary and fiscal policies are highly stimulative, commodity prices are rising and the US dollar is losing some steam. This boosts the investment case for developed market inflation-linked bonds, which appear cheap on our models on a breakeven basis versus nominal government debt. Adding Inflation-Linked Bonds To Our Model Bond Portfolio Our model bond portfolio framework is how we translate our main global fixed income strategic themes into actual investment recommendations. We apply specific weightings to government bond and spread product allocations within a fully invested hypothetical portfolio with a custom benchmark index (which is essentially the Bloomberg Barclays Global Aggregate with additional allocations to high-yield and emerging market corporates). We had not included inflation-linked bonds in the model portfolio, as we have always maintained a focus on the larger and more liquid parts of the developed market fixed income universe. We chose to express views on inflation expectations through duration or yield curve positioning, under the assumption that wider breakevens correlate to higher bond yields and/or steeper yield curves. Chart 8Global Inflation Breakevens Are Too Low We now are of the view that inflation-linked bonds should be included in our model portfolio investment universe, but on an “opportunistic” basis. In other words, we are not adding linkers to the custom benchmark index. Instead, we will be using potential allocations to inflation-linked bonds as another way to play for periods of rising inflation expectations beyond recommended duration and curve tilts in the model portfolio – particularly now that we have valuation models for inflation breakevens in almost all countries in the portfolio (the US, UK, Japan, Germany, Italy, France, Canada and Australia). Based on the output of our fundamental fair value framework for 10-year inflation breakevens, inflation protection looks “cheap” in all countries where we have valuation models except the UK (Chart 8). Charts with the details of each country’s 10-year inflation breakeven model can be found in the Appendix on pages 11-14. The inputs to the model are the same for each country: a) the 5-year moving average of headline CPI, representing the medium-term trend that anchors inflation expectations; and b) the annual percentage change in the Brent oil price in local currency terms, which creates deviations from the trend to account for moves in oil and currencies. For all countries excluding the UK, breakevens are below fair value because of the collapse in oil prices earlier this year. Inflation protection looks “cheap” in all countries where we have valuation models except the UK. The UK is the one market that does not appear cheap in our framework, with breakevens very close to both fair value and the medium-term trend in realized inflation. Those relatively high breakevens are also a reflection of the very low real bond yields for UK index-linked Gilts. Chart 9Linkers Offer Better Value In The US & Euro Area Than The UK For the past several years, UK real yields have traded well below measures of equilibrium real interest rates like the New York Fed’s estimates of “r-star”. This differs from real yields for US TIPS or French OATis, which trade roughly in line with the r-star estimates for the US and euro area (Chart 9). We suspect that is because of the chronic demand/supply mismatch for UK inflation-linked bonds, which are always in high demand from UK pension funds who need real assets for asset/liability management and regulatory purposes. So based on the output from the fair value models, inflation-linked bonds look most attractive on a breakeven basis in Italy, Canada, the US, Japan, Germany and France. From this list, we are choosing to add recommended positions in the US, Italy and Canada only. For Germany and France, we are already very underweight both countries in the model portfolio, so it is difficult to make a meaningful switch out of nominal bonds into linkers. For Japan, the Bank of Japan’s Yield Curve Control policy, which caps the level of 10-year bond yields near 0%, makes us reluctant to recommend any breakeven widening positions. The changes to the model bond portfolio can be found in the tables on pages 15-16. Bottom Line: Starting this week, we are permanently adding inflation-linked bonds as a “discretionary” allocation option in our model bond portfolio framework. We begin with allocations to linkers in the US, Italy and Canada. Tactical Trade Overlay 2.0, Starting With Inflation-Linked Bonds This week, we are introducing a remodeled version of our Tactical Trade Overlay, which we put on hiatus a few months ago because of “mission creep”. Many of our recommendations were being held too long to be truly considered tactical, or short-term, in nature, thus defying the original purpose of the Overlay. This week, we are introducing a remodeled version of our Tactical Trade Overlay, which we put on hiatus a few months ago because of “mission creep”. All trades in the new Overlay will have a shorter term investment horizon of six months or less. All recommended trades will be implemented with specific securities, rather than just using generic Bloomberg tickers or bond indices. This will allow for a more transparent process where clients can “follow along” with the performance of our trades. Chart 10Inflation-Linked Bonds Have A Duration To Real Yields, Unlike Nominals To begin, we are putting three inflation-linked bond trades into our new Tactical Trade Overlay, positioning for wider 10-year breakevens in the US, Italy and Canada. All trades will be implemented using a long position in an inflation-linked bond and a short position in the government bond futures contract for each country. We are using futures rather than a short position in a cash government bond for the sake of simplicity, both for implementing the trade and measuring returns. The new trades will be implemented on a duration-matched basis. This means only selling enough of the 10-year bond futures to hedge against any directional move in the yield of the long 10-year inflation-linked bond. A straight comparison of the duration of linkers to futures cannot be made, since inflation-linked bonds have a duration to real yields while futures (and cash government bonds) have a duration to nominal yields. The durations for inflation-linked bonds are always higher than those of nominals (Chart 10), thus the index-linked durations must be adjusted by the beta of changes in real yields to changes in nominal bond yields. To determine the correct duration adjustment, we use betas taken from rolling three-year regressions of monthly changes of 10-year inflation-linked yields on changes in 10-year nominal government yields, using generic Bloomberg tickers. The common convention is to simply apply a yield beta of 0.5 for all inflation-linked bonds (this is the default setting on Bloomberg valuation tools). We think having a variable yield beta is a more accurate way to hedge out the directional risk in each trade from shifts in real bond yields. Chart 11Yield Betas For Inflation-Linked Bonds Vary Across Countries The current yield betas for all eight countries where we have inflation breakeven fair value models are shown in Chart 11 – it is clear from the chart that using a constant yield beta of 0.5 across countries is not accurate, as they vary widely across countries. Multiplying the duration of the actual inflation-linked bond used in our breakeven trades by our rolling yield beta creates a “nominal” duration measure that can then be compared to the duration on the short leg of the breakeven trade. For futures, we use the empirical duration estimates from Bloomberg using the “FRSK” function. The ratio of the beta-adjusted linker duration to the empirical duration of the bond futures creates the hedge ratio that we will use when measuring the returns of this now “risk-matched” breakeven trade. The actual bonds, futures contracts and hedge ratios for all of our new breakeven trades can all be found in the table on page 18, with initial entry prices for all securities. We will begin to monitor the trade returns in next week’s report. Bottom Line: We are reviving our Tactical Trade Overlay with inflation-linked bond breakeven trades in the US, Italy and Canada. Appendix: 10-Year Inflation Break Even Model Chart 12Our US 10-Year Inflation Breakeven Model Chart 13Our UK 10-Year Inflation Breakeven Model Chart 14Our France 10-Year Inflation Breakeven Model Chart 15Our Italy 10-Year Inflation Breakeven Model Chart 16Our Japan 10-Year Inflation Breakeven Model Chart 17Our Germany 10-Year Inflation Breakeven Model Chart 18Our Canada 10-Year Inflation Breakeven Model Chart 19Our Australia 10-Year Inflation Breakeven Model Robert Robis, CFA Chief Fixed Income Strategist rrobis@bcaresearch.com Footnotes 1 Please see BCA Research Global Fixed Income Strategy Weekly Report, "Global Inflation Expectations Are Too Low", dated April 28, 2020, available at gfis.bcaresearch.com. 2 Please see BCA Research Commodity & Energy Strategy Weekly Report, "Low Vol, High Uncertainty Keeps Oil-Price Rally On Tenterhooks", dated June 18, 2020, available at ces.bcaresearch.com. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns
We are compelled to downgrade banks and investment banks to neutral in advance of the release of the Fed’s stress tests this Thursday. This downgrade also pushes the financials sector overweighting to neutral. Our worry is centered on a possible dividend cut/suspension given the lack of confidence the Fed has with regard to the economic recovery owing to COVID-19. Even if the Fed strikes a more balanced note on the banks’ cash buffers and capitalization and does not force them the chop their dividend payouts (bottom panel), we would still want to be on the sidelines at least until the election uncertainty lifts in November. A blue sweep would, at the margin, be negative for the banking sector (second panel). Moreover, following a near month-long rebound from the early May trough, banks have not been responsive to the steepening yield curve and this is disconcerting (third panel). Moreover, following a near month-long rebound from the early May trough, banks have not been responsive to the steepening yield curve and this is disconcerting (middle panel). Bottom Line: Downgrade the S&P banks and S&P investment banks indexes to neutral, which also pushes the S&P financials sector to a benchmark allocation. Please look forward to reading our upcoming Monday June 29 Weekly Report for a more detailed analysis on these two financials subgroups.
Highlights Treasuries: Keep portfolio duration close to benchmark on a 6-12 month horizon, but continue to hold tactical overlay positions that will profit from modestly higher bond yields: Overweight TIPS versus nominal Treasuries, hold duration-neutral nominal curve steepeners, hold real yield curve steepeners. IG Tech: Given our positive outlook for investment grade corporate bond spreads, the Technology sector’s high credit rating and defensive characteristics make it decidedly un-compelling. However, Tech spreads are attractive compared to other A-rated corporate bonds. HY Tech: We want to focus our high-yield allocation on defensive sectors where a large proportion of issuers are able to benefit from Fed support. The high-yield Technology sector checks both of those boxes and offers attractive risk-adjusted compensation to boot. Feature Chart 1Three Treasury Trades As we have previously written, bond yields should move modestly higher over the course of the summer as the US economy re-opens.1 However, there are enough potential medium-term pitfalls related to US politics and COVID transmission that we aren’t yet comfortable with below-benchmark portfolio duration. Instead, we recommend that investors keep portfolio duration close to benchmark on a 6-12 month horizon, but add three tactical overlay positions that will profit from higher bond yields: Overweight TIPS versus nominal Treasuries Duration-neutral nominal Treasury curve steepeners Real yield curve steepeners All three of these positions have performed well during the past couple of months (Chart 1), and in the first section of this report we assess whether they have further to run. The remaining two sections of this week’s report consider the outlooks for investment grade and high-yield Technology bonds, respectively. Three Trades To Profit From Higher Yields 1) Overweight TIPS Versus Nominals Chart 2Adaptive Expectations Model TIPS breakeven inflation rates have moved up considerably since mid-March. Back then, the 10-year TIPS breakeven rate troughed at 0.50%. It currently sits at 1.31%. Despite the large move, TIPS breakeven inflation rates still have a considerable amount of upside. One way to assess how much is through the lens of our Adaptive Expectations Model (Chart 2).2 This model considers several different measures of inflation expectations (based on realized CPI inflation and surveys) and uses the difference between those measures of inflation expectations and the 10-year TIPS breakeven inflation rate to forecast the future 12-month change in the 10-year TIPS breakeven. At present, the model forecasts that the 10-year TIPS breakeven inflation rate will rise 23 bps during the next 12 months, bringing it to 1.54%. It’s important to note that our model is biased towards measures of longer-run inflation expectations. As a result, it can be surprised from time to time by large fluctuations in drivers of short-term inflation expectations, like the oil price. This year’s massive drop in oil – and concurrent decline in headline inflation – were the main factors that caused the 10-year TIPS breakeven inflation rate to fall so far below our model’s fair value. However, as we discussed in last week’s report, the oil price looks to have troughed and there is preliminary evidence that we might also be past the lowest point for headline CPI.3 Profit from rising bond yields by entering a duration-neutral yield curve steepener. We see TIPS continuing to outperform nominal Treasuries over both short- and long-run horizons. 2) Duration-Neutral Yield Curve Steepeners Chart 3Stick With Steepeners Another way to profit from rising bond yields without taking a large duration bet is via a duration-neutral yield curve steepener. One example would be a long position in the 5-year note and a short position in a duration-matched barbell consisting of the 2-year and 10-year notes. Alternatively, you could use the 2-year note and 30-year bond as the two legs of the barbell. These sorts of duration-matched trades where you take a long position in a bullet maturity near the middle of the curve and go short the wings are designed to perform well in periods of yield curve steepening.4 In the current environment, where dovish Fed guidance has dampened volatility at the front-end of the yield curve, any bond sell-off will be felt disproportionately at the long-end, leading to a steeper curve. The only problem with this proposed trade is that it is no longer cheap. The spread between the 5-year bullet and 2/10 barbell is -6 bps and the spread relative to the 2/30 barbell is -3 bps (Chart 3). What’s more, the 5-year bullet trades expensive relative to the 2/10 and 2/30 barbells, according to our fair value models (Chart 3, bottom panel). However, for the time being we are inclined to overlook stretched valuations. The 5-year bullet does appear expensive but it has been more expensive in the past, most notably during the last zero-lower-bound episode from 2010 to 2013. Similar to then, the market is now priced for an extended period of a zero fed funds rate. We would not be surprised to see bullets become much more expensive in that sort of environment, and possibly even return to extended 2010-2013 valuations. We recommend holding onto duration-neutral yield curve steepeners, despite unattractive valuations. Specifically, we favor going long the 5-year bullet and short a duration-matched 2/10 barbell. 3) Real Yield Curve Steepeners Chart 4Higher Inflation Means Steeper Real Yield Curve The final position we recommend is a steepener along the real yield curve. We first recommended this trade on April 28 when a plunge in oil (and spike in deflationary sentiment) caused the real 2-year yield to jump to 0.28% compared to a real 10-year yield of -0.70%.5 Since then, the real 2-year yield has collapsed to -1% compared to a real 10-year yield of -0.87%. Although the real 2-year/10-year slope is once again positive, it has typically been higher during the past few years (Chart 4). We therefore expect further steepening as long as the oil price and headline inflation continue to recover from April’s lows. Much like during the 2008/09 financial crisis, the combination of the Fed’s zero-lower-bound forward guidance and a massive drop in both oil and headline inflation caused short-dated real yields to jump. Subsequently, this led to a massive steepening of the real yield curve, once the oil price and headline inflation started to recover. We believe that same dynamic is playing out today. Investors should continue to hold real yield curve steepeners, at least until rebounding oil and headline CPI return short-dated inflation expectations to more reasonable levels. Investment Grade Tech Risk Profile Technology accounts for 9% of the overall Bloomberg Barclays investment grade corporate index, which makes it the second biggest industry group, after Banking. Its large index weight is due to the presence of three tech giants: Microsoft (Aaa-rated), Apple (Aa-rated) and Oracle (A-rated) which, combined, constitute 38% of the Tech sector. Investment grade Technology is a highly defensive corporate bond sector. In sharp contrast with the equity market, Technology is a highly defensive corporate bond sector. That is, it tends to outperform the overall corporate bond index during periods of spread widening and underperform during periods of spread tightening. This largely comes down to the fact that Tech has a higher credit rating than the overall corporate index. Twenty five percent of the Tech sector’s market cap carries a Aaa or Aa rating compared to just 9% for the overall index (Chart 5). Further, of the high-flying FAANG stocks that garner a lot of attention from equity analysts, only Apple is a significant presence in the Technology bond index.6 Chart 5Investment Grade Credit Rating Distributions* Chart 6IG Technology Risk ##br##Profile The Tech sector’s defensive nature is confirmed by looking at its duration-times-spread (DTS) ratio and historical excess returns (Chart 6).7 The sector’s DTS ratio is consistently below 1.0, and its excess returns show a clear pattern of outperformance during periods of spread widening and underperformance during periods of spread tightening. Valuation In terms of valuation, although the Tech sector does not offer a spread advantage over the corporate index – which should be expected given its higher credit rating – we find that it trades cheap relative to its comparable credit tier (Table 1). Tech offers an option-adjusted spread of 115 bps versus 111 bps for the A-rated corporate index, and the sector still appears attractive after controlling for duration differences by looking at the 12-month breakeven spread. In absolute terms, Tech sector spreads are just above their median since 2010. The A-rated corporate index spread currently sits right on top of its post-2010 median. Table 1IG Technology Valuation Balance Sheet Health Chart 7IG Technology Debt Growth The Technology sector added a large amount of debt during the last recovery. The par value of the Tech index’s outstanding debt has grown 5.2 times since 2010 compared to 2.4 times for the benchmark. As a result, Tech’s weight in the corporate index has more than doubled, from 4% to 9% (Chart 7). However, earnings have done a pretty good job of keeping pace with the large increase in debt. The market cap-weighted net debt-to-EBITDA ratio for the investment grade Tech index is only 2.4, and the sector’s average credit rating has been stable since 2010. At the individual issuer level, there are 58 issuers in the Tech index and only 4 currently have a negative ratings outlook from Moody’s (Appendix B). What’s more, of the 16 Tech sector ratings that Moody’s has reviewed this year, 12 have been affirmed with a stable outlook, 1 was assigned a positive outlook and only 3 were assigned negative outlooks. Macro Considerations Chart 8Technology Sector Macro Drivers The Tech sector can be split into three major segments that have distinct macro drivers: Software (26% of Tech index market cap, includes Microsoft and Oracle) Hardware (29% of Tech index market cap, includes Apple, IBM and Dell) Semiconductors (24% of Tech index market cap, includes Intel and Avago Technologies) Software investment has been in a structural bull market for many years, and should remain resilient during the COVID recession as demand for remote working solutions increases. While we only have data through the end of March, software investment did not see the same collapse as other sectors during the first quarter (Chart 8). The Hardware and Semiconductor segments are more cyclical and geared toward manufacturing. As such, their macro outlooks were already challenged pre-COVID, due to the US/China trade war and manufacturing downturn of 2019. Both US computer exports and global semiconductor sales were showing signs of life near the end of last year, but were decimated when the pandemic struck in 2020 (Chart 8, panels 3 & 4). A revival in this space is contingent upon continued gradual re-opening and a return to economic growth. More optimistically, US consumer spending on personal computers and peripheral equipment has not fallen as much as broad consumer spending during the past few months (Chart 8, bottom panel). In the long-run, the 5G smartphone rollout is a significant structural tailwind for both semiconductor issuers and Apple. Meanwhile, the threat of significant regulatory crackdown on Tech firms remains a long-run risk. Our sense is that any push toward stricter regulations won’t have that much impact on Technology bond returns. This is because the subjects of most lawmaker scrutiny – Facebook, Amazon and Google – are largely absent from the Bloomberg Barclays Tech index. Investment Conclusions We expect that investment grade corporate bond spreads will tighten during the next 6-12 months. Against this positive back-drop, investors should focus exposure on cyclical (lower-rated) sectors that offer greater expected returns. With that in mind, the Tech sector’s high credit rating and defensive characteristics make it decidedly un-compelling. However, Tech does offer a slight spread advantage compared to other A-rated bonds and the macro back-drop is reasonably supportive. We would therefore recommend Tech bonds to investors looking for some A-rated corporate bond exposure. But in general, we prefer the greater spreads on offer from sectors that occupy the high-quality Baa space, such as subordinate bank debt.8 High-Yield Tech Risk Profile High-Yield Technology’s credit rating profile is similar to that of the overall benchmark, but with a slightly larger presence of low-rated (Caa & below) issuers (Chart 9). The largest issuers in the space are Dell (5.7% of Tech index market cap, Ba-rated), MSCI Inc. (5.1% of Tech index market cap, Ba-rated, see copyright declaration) and CommScope (8.1% of Tech index market cap, B-rated). High-yield Tech recently transitioned from being a cyclical sector to a defensive one. Interestingly, the high-yield Tech sector recently transitioned from being a cyclical sector to a defensive one. The sector behaved cyclically during the 2008 recession, underperforming the index when spreads widened and outperforming when they tightened. But Tech then outperformed the High-Yield index during the spread widening episodes of 2015 and 2020. Based on the sector’s low DTS ratio, this defensive behavior should persist for the next 12 months (Chart 10). Chart 9High-Yield Credit Rating Distributions* Chart 10HY Technology Risk Profile Valuation The High-Yield Technology option-adjusted spread (OAS) is significantly lower than the average OAS for the benchmark High-Yield index. However, it offers a spread premium compared to other Ba-rated issuers (Table 2). Adjusting for duration differences by looking at the 12-month breakeven spread makes high-yield Tech look significantly more attractive. The high-yield Tech spread would have to widen by 146 bps for the sector to underperform duration-matched Treasuries during the next 12 months. This compares to 96 bps for other Ba-rated issuers and 152 bps for the overall junk index. Table 2HY Technology Valuation It is apparent that the Tech sector’s low average duration (Chart 10, bottom panel) is a major reason for its relatively tight OAS. On a risk-adjusted basis, high-yield Tech valuation actually appears quite compelling, with a 12-month breakeven spread only 6 bps below that of the overall index. Balance Sheet Health Chart 11HY Technology Debt Growth The amount of outstanding high-yield Technology debt has grown a bit more rapidly than overall junk index debt since 2010 (Chart 11). As a result, Technology’s weight in the index has increased from 5% in 2010 to 6% today. At the issuer level, the Tech sector should benefit from having a large number of issuers that will be able to take advantage of the Fed’s Main Street Lending facilities. To be eligible for the Main Street facilities, issuers must have less than 15000 employees or less than $5 billion in 2019 revenue. Also, the issuers must be able to keep their Debt-to-EBITDA ratios below 6.0, including any new debt added through the Main Street programs. Of the 43 high-yield Tech issuers with available data, we estimate that 30 are eligible to receive support from the Main Street facilities (Appendix C). This even includes 11 out of the 16 B-rated issuers. Typically, we don’t expect that many B-rated issuers will be eligible for the Main Street facilities, which makes this result encouraging for Tech sector spreads. Investment Conclusions We recommend an overweight allocation to high-yield Technology bonds. As we wrote last week, high-yield spreads appear too tight if we ignore the impact of the Fed’s emergency lending facilities and consider only the fundamental credit back-drop.9 With that in mind, we want to focus our high-yield allocation on defensive sectors where a large proportion of issuers able to benefit from Fed support. The Technology sector checks both of those boxes and offers attractive risk-adjusted compensation to boot. Appendix A: Buy What The Fed Is Buying The Fed rolled out a number of aggressive lending facilities on March 23. These facilities focused on different specific sectors of the US bond market. The fact that the Fed has decided to support some parts of the market and not others has caused some traditional bond market correlations to break down. It has also led us to adopt of a strategy of “Buy What The Fed Is Buying”. That is, we favor those sectors that offer attractive spreads and that benefit from Fed support. The below Table tracks the performance of different bond sectors since the March 23 announcement. We will use this to monitor bond market correlations and evaluate our strategy’s success. Table 3Performance Since March 23 Announcement Of Emergency Fed Facilities Appendix B Table 4Investment Grade Technology Issuers Appendix C Table 5High-Yield Technology Issuers Ryan Swift US Bond Strategist rswift@bcaresearch.com Jeremie Peloso Senior Analyst jeremiep@bcaresearch.com Footnotes 1 Please see US Bond Strategy Weekly Report, “Bonds Vulnerable As North America Re-Opens”, dated May 26, 2020, available at usbs.bcaresearch.com 2 For more details on our Adaptive Expectations Model please see US Bond Strategy Weekly Report, “How Are Inflation Expectations Adapting?”, dated February 11, 2020, available at usbs.bcaresearch.com 3 Please see US Bond Strategy Weekly Report, “No Holding Back”, dated June 16, 2020, available at usbs.bcaresearch.com 4 For an explanation of why this works please see US Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com 5 Please see US Bond Strategy Weekly Report, “Negative Oil, The Zero Lower Bound And The Fisher Equation”, dated April 28, 2020, available at usbs.bcaresearch.com 6 Of the other FAANG stocks: Google accounts for just 0.5% of Tech bond sector market cap, Facebook has close to no debt, Amazon is included in the Consumer Cyclical corporate bond index and Netflix is included in the Media: Entertainment sector of the High-Yield index. 7 Duration-Times-Spread (DTS) is a simple measure that is highly correlated with excess return volatility for corporate bonds. The DTS ratio is the ratio of a sector’s DTS to that of the benchmark index. It can be thought of like the beta of a stock. A DTS ratio above 1.0 signals that the sector is cyclical (or “high beta”), a DTS ratio below 1.0 signals that the sector is defensive or (“low beta”). For more details on the DTS measure please see: Arik Ben Dor, Lev Dynkin, Jay Hyman, Patrick Houweling, Erik van Leeuwen & Olaf Penninga, “DTS (Duration-Times-Spread)”, Journal of Portfolio Management 33(2), January 2007. 8 For more details on our recommendation to overweight subordinate bank bonds please see US Bond Strategy Weekly Report, “Negative Oil, The Zero Lower Bound And The Fisher Equation”, dated April 28, 2020, available at usbs.bcaresearch.com 9 Please see US Bond Strategy Weekly Report, “No Holding Back”, dated June 16, 2020, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification

