Economy

Highlights Our sense remains that the dollar is undergoing a countertrend bounce, rather than entering a new bull market. The litmus test for this view is if the DXY fails to break above the 93-94 level that marked the March highs. Stay short USD/JPY. The drop in global bond yields should give this trade a welcome fillip. Short GBP/JPY positions also make sense. We are long CHF/NZD as a play on a potential increase in currency volatility. Look to rebuy a basket of Scandinavian currencies versus the USD and EUR at a trigger point of -2% from today’s levels. Remain long silver both in absolute terms and relative to gold. Our limit buy on EUR/USD was triggered at 1.18. Place tight stops given the potential for the dollar rally to continue for the next few weeks. We also believe the change in the ECB’s framework portends another bullish tailwind for the euro beyond the near term. Feature In our webcast last week, we made the case that the recent FOMC meeting (perceived as hawkish by market participants) has not altered the longer-term downtrend in the US dollar. This week, we are revisiting some of the sentiment and technical indicators that could help gauge how high the dollar can rise in the interim. Our view remains that three fundamental forces will continue to dictate currency market trends into the year end and beyond. First, the Federal Reserve will lag other central banks in raising rates amidst a shift in economic momentum from the US towards the rest of the world. This will boost short-term interest rates outside the US and provide a floor for procyclical currencies. Second, US inflation will prove stickier compared to other countries such as the eurozone or Japan. This will depress real interest rates in the US relative to the rest of the world, and curb bond inflows. And finally, an equity market rotation towards non-US stocks will improve flows into cyclical currencies. The transition could prove volatile in the coming month or so. Equity markets remain overbought, bond yields are falling, PMIs have stopped rising, and cyclical stocks are lagging growth stocks. More widespread infection from the Delta variant of Covid-19 will continue to reprice risk to the downside. As a countercyclical currency, the dollar will be a critical variable to watch. Sentiment and technical indicators make up an important component of our currency framework and are usually good at gauging significant shifts in financial markets. Our sense remains that the dollar is undergoing a countertrend bounce, rather than entering a new bull market. The litmus test for this view is if the DXY fails to break above the 93-94 level that marked the March highs. Momentum Indicators Our momentum indicators suggest that while the dollar is very oversold, the bear market remains very much intact. The dollar advance/decline line is sitting below its 200-day moving average (Chart I-1). Historically, bull markets in the dollar have been characterized by our advance/decline line breaking both above its 200-day and 400-day moving averages. This suggests a rally towards these critical resistance levels is in play but will constitute more of a countertrend bounce. Speculators are only neutral the dollar while, admittedly, leveraged funds are very short (Chart I-2). Historically, whenever the percentage of leveraged funds that are short the dollar has dipped near 40%, a meaningful rally has ensued. There are two important offsets to this. First, as Chart I-1 suggests, the dollar is a momentum currency. As such, during the bull market of the last decade, speculators were either neutral or long the dollar. If indeed the paradigm has shifted to a decade-long bear market, we expect speculators to be either short or neutral. Meanwhile, leveraged funds are a small subset of overall open interest, suggesting they are not the elephant in the room when it comes to dictating dollar movements. Leveraged funds were short the dollar during most of the bull market run last decade. Chart I-1The US Dollar Downtrend Is Intact Chart I-2Leveraged Funds Are Short The Dollar Carry trades are relapsing anew, suggesting the environment may be becoming unfavorable for high-yielding developed and emerging market currencies. The dollar has been negatively correlated with the Deutsche Bank carry ETF, DBV, since investors ultimately dump carry trades and fly to the safety of Treasurys on any market turbulence (Chart I-3). High-beta carry currencies such as the RUB, ZAR, MXN, and BRL have been consolidating recent gains. These currencies are usually good at sniffing out a change in the investment landscape, specifically one becoming precarious for carry trades. Our carry index tends to do well when the yield spread between US Treasuries and the indexes’ constituents’ is low. As such, there is some more adjustment underway, but one of limited amplitude (Chart I-4). Chart I-3The Carry Trade Rally Is Relapsing Chart I-4Carry Trades Have Hit An Air Pocket Chart I-5Currency Volatility Is Very Low Both expected and actual currency volatility are extremely depressed. Whenever currency volatility has been this low, the dollar has staged a meaningful rally. For example, the most significant episodes were the lows of 1996-1997, 2007-2008, and 2014-2015, and early 2020 (Chart I-5). Usually, low currency volatility is a sign of complacency, while higher volatility allows for a more balanced and healthy market rotation. The nature in which currency volatility adjusts higher this time around might be the same playbook as in previous episodes. The Asian crisis of the late 90s set the stage for the dollar bear market of the 2000s. The adjustment higher in the dollar during the Global Financial crisis jumpstarted the bull market the following decade. This time around, the Covid-19 crisis might have commenced a renewed dollar bear market. If this analogy is correct, then we should be selling the dollar on strength rather than buying on weakness. It is important to remember that the policy environment remains bearish for the dollar. These include deeply negative real rates, quantitative easing (which, admittedly, will soon end), generous liquidity swap lines to assuage any dollar funding pressures abroad (Chart I-6), and a global economy on the cusp of a renewed cycle. In our portfolio, we are long CHF/NZD since this cross has historically been a good hedge against rising currency volatility (Chart I-7). So is being short AUD/JPY. Being short the GBP/JPY cross might prove even more profitable, given that the UK has been a pandemic winner this year. Chart I-6The Fed Extended Its Swap Lines Chart I-7Buy CHF/NZD As Insurance Bottom Line: The message from our momentum indicators is that the bounce in the dollar was to be expected. We remain in the camp that believes the rally will be short-lived but are opportunistically playing what could be a more volatile environment. Equity Markets Signals A potential catalyst that could trigger further upside in the dollar is an equity market correction. Both the dollar and equities tend to be inversely correlated (Chart I-8). On this front, a few equity market indicators continue to flag that the rally in the dollar has a bit further to go.  Chart I-8The Dollar And Equities Move Opposite Ways Chart I-9Global Industrials Are Relapsing Anew The underperformance of cyclical stocks, especially global industrials, suggests equity markets could be entering a more volatile phase (Chart I-9). The dollar tends to strengthen when cyclical stocks are underperforming defensive ones. This is because non-US equity markets have a much higher concentration of cyclical stocks in their bourses. In more general terms, non-US markets are underperforming the US, a clear sign that the marginal dollar is rotating back towards the US (Chart I-10A and I-10B). Technology stocks have also been well bid in recent weeks, on the back of lower bond yields. These are all temporary headwinds for dollar weakness. Chart I-10ANon-US Stock Markets Are Underperforming Chart I-10BNon-US Stock Markets Are Underperforming Chart I-11US Relative Earnings Revisions Are High, But Rolling Over Earnings revisions continue to head higher across most markets, but US profit expectations are still higher compared to other countries (Chart I-11). Non-US bourses will need much higher earnings revisions to stimulate portfolio inflows, and for the dollar bear market to resume. On this front, both the euro area and emerging markets are showing only tentative improvement. The character of any selloff in equity markets will be worth monitoring. Cyclicals and value stocks are at historically bombed-out levels and could start to outperform high-flying stocks on any market reset.    Bottom Line: Whether a correction ensues, or the bull market continues, requires a change in equity market leadership from defensives to cyclicals. This is a necessary condition for the dollar bear market to resume. Commodities, Bonds, And The Dollar Commodity and bond prices give important cues about the health of the global economy. For example, rising copper prices and rising yields are a sign that industrial activity is humming, which in turn points to accelerating global growth. As a counter-cyclical currency, the dollar usually weakens in this scenario. Rising gold prices are generally a sign that policy settings remain ultra-accommodative, which also points to a weaker dollar. At the FX strategy service, we tend to focus more on the internal dynamics of commodity and bond markets, which can provide early warning signs. Chart I-12The Copper-To-Gold Ratio Is Consolidating Gains The copper-to-gold ratio is important since it indicates whether the liquidity-to-growth transmission mechanism is working. A rising ratio suggests policy settings are stimulating growth, while a falling ratio is a warning shot that the environment might be becoming deflationary. Correspondingly, this ratio has tended to track the dollar closely (Chart I-12). The copper-to-gold ratio is consolidating at very high levels. This is consistent with a healthy reset, rather than a reversal in the dollar bear market. The gold/silver ratio (GSR) tends to track the US dollar, and its recent price action also appears to be a welcome reset (Chart I-13). Like copper, silver benefits from rising industrial demand, especially in the electronics and renewable energy space. A falling GSR will be a sign that the manufacturing cycle is still humming. We are short the GSR with a target of 50, and a stop-loss at 71. The bond-to-gold ratio has bounced from very oversold levels. Both US Treasurys and gold are safe-haven assets and thus are competing assets. Remarkably, the ratio of the total return in US government bonds-to-gold prices has tracked the dollar pretty well since the end of the Bretton Woods system in the early ‘70s (Chart I-14). Gold has always been considered the perfect anti-fiat asset vis-à-vis the dollar, making the bond-to-gold ratio both a good short-term and long-term sentiment indicator. For now, the bounce in the ratio is not yet worrisome. We have noticed that inflows into US government bonds have risen sharply, while those into gold are falling. This should soon reverse with the fall in US rates, and the correction in gold prices. Chart I-13The Gold-To-Silver Ratio Is Consolidating Losses Chart I-14Competing Assets And The Dollar Bottom Line: The US is ultimately generating the most inflation in the G10, which is dampening real rates, and should curtail investor enthusiasm for gold relative to US Treasurys. The underperformance of Treasurys relative to gold will be a bearish development for the dollar. A Final Word On The Euro The strategic review from the European Central Bank had three key changes. The ECB now has a symmetric 2% inflation target. This is not a game changer, since it brings it in line with other global central banks, including the Bank of Japan. House prices will meaningfully begin to impact monetary policy, as the committee eventually includes owner’s equivalent rent (OER) in the HICP index (the ECB’s preferred inflation measure) for the euro area. This could be a game changer for the ECB’s price objective. Climate change was reiterated as important for price stability. Financial stability was also repeated as an important objective. As FX strategists, the second change was the most important. Shelter constitutes 17.7% of the euro area CPI basket, but it is 32.9% of the US CPI basket (Table I-1). Meanwhile, the shelter component of both the CPI basket in the US and euro area have tracked each other (Chart I-15). Table I-1Euro Area CPI Weights Chart I-15What Will Happen To Eurozone Inflation?   An adjustment in the weight of the shelter component in the euro area will boost the European CPI relative to the US and could trigger a major policy shift from the ECB in the coming years. This will especially be the in case if the current environment generates an inflationary shock. Bottom Line: The ECB will stay very accommodative in the next 1-2 years, but the change in its mandate could portend a bullish tailwind for the euro beyond the near term. Investment Implications We expect the current dollar rebound to be short-lived. As such, our strategy is as follows: Stay long other safe-haven currencies. Our preferred vehicle is the Japanese yen, which sports an attractive real rate relative to the US. Investors can also short GBP/JPY from current levels. Chart I-16The Euro, Yen And Real Rates Our limit-buy on EUR/USD was triggered at 1.18. Given our expectation that the dollar could rally in the near term, we are setting the stop-loss at the same level. However, the improvement in real rates in the euro area relative to the US could cushion any downside (Chart I-16). We are also long CHF/NZD, as a bet on rising currency volatility. Correspondingly, we are setting a limit buy on Scandinavian currencies relative to the euro and USD at a trigger level of -2%. Both gold and silver benefit from the current environment, but we prefer silver to gold, due to the former’s call option on continued improvement in global growth. We are short the gold/silver ratio from the 68 level. Overall, we expect the dollar to weaken towards the end of the year, as has been the case since the 1970s (Chart I-17). Chart I-17The Yen And Swiss Franc Are Usually Winners In H2   Chester Ntonifor Foreign Exchange Strategist chestern@bcaresearch.com Currencies US Dollar USD Technicals 1 USD Technicals 2 The recent data out of the US have been robust: June non-farm payrolls showed an increase of 850K jobs, versus expectations of a 700K increase. The unemployment rate was relatively flat at 5.9% in June.  Factory orders came in at 1.7% year-on-year in May, in line with expectations. The US dollar DXY index is relatively flat this week, but with tremendous volatility. It was a relatively quiet week in the US, due to Independence Day, but the key theme remained a drop in US yields, with the 10-year yield moving from a high of near 1.8% this year to 1.3% currently. This move has catalyzed rallies in lower beta currencies, such as the yen and Swiss franc. The FOMC minutes released this week continue to suggest a Fed that will remain very patient in both tapering asset purchases and lifting interest rates.   Report Links: Arbitrating Between Dollar Bulls And Bears - March 19, 2021 The Dollar Bull Case Will Soon Fade - March 5, 2021 Are Rising Bond Yields Bullish For The Dollar? - February 19, 2021 The Euro EUR Technicals 1 EUR Technicals 2 Recent data from the euro area were mixed: The PPI print for May came in at 9.6%, in line with expectations. Both the services and composite PMI were revised higher by 0.3 in June. At 59.2, the composite PMI is the highest in over a decade. ZEW expectations for the euro area fell sharply from 81.3 to 61.2. In Germany, there was a big decline in automotive surveys. The euro was flat this week against the dollar, despite gains overnight. The big news was the change in the ECB’s monetary policy objectives, which we discussed briefly in the front section of this report. The euro rallied on the news of three fundamental drivers in our view – real rate differentials are improving in favor of Europe, the ECB’s consideration for house price inflation could allow its price stability objective to be achieved sooner, and consideration for financial stability will be less favorable for negative interest rates.   Report Links: Relative Growth, The Euro, And The Loonie - April 16, 2021 The Euro Dance: One Step Back, Two Steps Forward - April 2, 2021 On Japanese Inflation And The Yen - January 29, 2021   The Yen JPY Technicals 1 JPY Technicals 2   Recent data from Japan remains subpar, but is improving: Labor cash earnings rose 1.9% in May, in line with expectations. Household spending rose 11.6% in May, in line with expectations. The Eco Watchers Survey for June came in at 47.6 from a May reading of 38.1. The outlook component rose from 47.6 to 52.4. The yen was up by 1.6% against the USD this week, the best performer. We argued a month ago that the yen is the most underappreciated G10 currency today. The catalyst that triggered yen gains were a drop in US real rates, that favored other safe-haven currencies. Going forward, further yen gains should materialize on the back of Japan successfully overcoming the pandemic like its Western counterparts. Report Links: The Case For Japan - June 11, 2021 The Dollar Bull Case Will Soon Fade - March 5, 2021 On Japanese Inflation And The Yen - January 29, 2021   British Pound GBP Technicals 1 GBP Technicals 2 There was scant data out of the UK this week: The construction PMI rose from 64.2 to 66.3 in June. House prices remain robust, with the RICS house price balance printing an elevated 83% in June. The pound was flat this week against the USD. The new delta variant of the COVID-19 virus is gaining momentum in the UK and will likely erode some of the dividends GBP had priced in from a fast vaccine rollout. As such, short GBP positions may pay off in the near term. Shorting GBP/CHF could be an attractive near-term hedge.   Report Links: Why Are UK Interest Rates Still So Low? - March 10, 2021 Portfolio And Model Review - February 5, 2021 Thoughts On The British Pound - December 18, 2020   Australian Dollar AUD Technicals 1 AUD Technicals 2 There was scant data out of Australia this week: The Melbourne Institute of Inflation survey came it at 3% year on year in June, from 3.3%. The RBA kept interest rates unchanged at 0.1%, reiterating its commitment to stay accommodative until inflation and wages pick up meaningfully. The AUD was down by 0.4% this week against the USD. The RBA is decisively lagging other central banks in communicating less monetary accommodation in the coming years. This will create a coiled spring response for the AUD, because the RBA will have to eventually play catchup as the global economic cycle gains momentum.   Report Links: The Dollar Bull Case Will Soon Fade - March 5, 2021 Portfolio And Model Review - February 5, 2021 Australia: Regime Change For Bond Yields & The Currency? - January 20, 2021   New Zealand Dollar NZD Technicals 1 NZD Technicals 2 The was scant data out of New Zealand this week: ANZ commodity price index rose by 0.8% in June. The NZD was down 0.3% against the dollar this week. Our long CHF/NZD position paid off handsomely in this environment. We recommend holding onto this trade, as a reset in global rates hurts the hawkish pricing in the NZD forward curve. Report Links: How High Can The Kiwi Rise? - April 30, 2021 Portfolio And Model Review - February 5, 2021 Currencies And The Value-Versus-Growth Debate - July 10, 2020   Canadian Dollar CAD Technicals 1 CAD Technicals 2 Canadian data softened but remained robust: Building permits fell by 14.8% month on month in May. The Markit manufacturing PMI fell from 57 to 56.5 in June. The Canadian trade balance deteriorated from C$0.6bn to a deficit of -C$1.4bn in May. Business Outlook Survey indicator hit the highest level on record. As the Bank of Canada put it, improving business sentiment is broadening. The CAD fell by 0.8% against USD this week. The results of the BoC survey highlight that a reopening phase is categorically bullish for economic activity in general and financial prices. Until recently, the CAD was one of the best performing currencies in the G10. This is a sea change from a country that was previously a laggard in vaccination efforts. CAD should hold up well once the dollar rally fades, but other currency laggards such as SEK and JPY could do even better.   Report Links: Relative Growth, The Euro, And The Loonie - April 16, 2021 Will The Canadian Recovery Lead Or Lag The Global Cycle? - February 12, 2021 The Outlook For The Canadian Dollar - October 9, 2020 Swiss Franc CHF Technicals 1 CHF Technicals 2 The was scant data out of Switzerland this week: The unemployment rate was near unchanged at 3.1% in June, from 3.0%. Total sight deposits were unchanged at CHF 712 bn on the week of July 2. The Swiss franc was up by 1.1% this week against the USD. Falling yields improved the relative appeal of the franc that has bombed out interest rates. The franc is also benefiting from the rising bout of volatility as a safe-haven currency. On this basis, we are long CHF/NZD cross, which performed well this week. Report Links: An Update On The Swiss Franc - April 9, 2021 Portfolio And Model Review - February 5, 2021 The Dollar Conundrum And Protection - November 6, 2020   Norwegian Krone NOK Technicals 1 NOK Technicals 2 Data out of Norway is improving: The unemployment rate fell from 3.3% to 2.9% in July. Industrial production growth came in at 2.1% year-on-year in May. Mainland GDP rose by 1.8% month on month in May. The NOK was down by 1.8% this week against the dollar, the worst performing G10 currency. The NOK is bearing the brunt of a reset in the US dollar, but our bias is that we are nearing a buy zone. NOK is cheap, would benefit from high oil prices and the economy is on the mend. We are looking to sell EUR/NOK and USD/NOK on further strength.   Report Links: The Norwegian Method - June 4, 2021 Portfolio And Model Review - February 5, 2021 Revisiting Our High-Conviction Trades - September 11, 2020   Swedish Krona SEK Technicals 1 SEK Technicals 2 Recent data from Sweden have been mildly positive: The Swedbank/Silf composite PMI fell from 70.2 to 66.9 in June. Industrial production came in at 24.4% year on year in May, after a rise of 26.4% in April. Household consumption jumped 8.8% year on year in April. The SEK was also up this week against the USD. Bombed-out interest rates in Sweden have also improved the appeal of the franc, given falling global bond yields. Meanwhile, the SEK remains one of the cheapest currencies in our models.   Report Links: Revisiting Our High-Conviction Trades - September 11, 2020 More On Competitive Devaluations, The CAD And The SEK - May 1, 2020 Sweden Beyond The Pandemic: Poised To Re-leverage - March 19, 2020   Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Limit Orders Closed Trades

Highlights Inflation is set to decelerate, job creation has a speed limit, and super-spreaders of new-variant Covid-19 infections will create speed bumps in the economy.  This means that in the second half of the year: Bonds will rally. The US dollar will rally. Growth stocks will outperform value stocks. US stocks will outperform non-US stocks. Fractal trade shortlist: Brazilian real, Saudi Tadawul All Share, and Marine Transportation.  Feature Chart of the WeekThe 60 Percent Correction In Lumber Shows What Happens When Supply Bottlenecks Ease. Are Used Cars Next? As Supply Bottlenecks Ease, Inflation Will Cool Since mid-March, US inflation has surged to 5 percent. Yet bond yields have drifted lower, by almost 50 bps in the case of the 30-year T-bond yield, equating to a handsome return of 12 percent. The seeming contradiction between rising inflation and declining bond yields has puzzled some people, but it shouldn’t. In 2009, the same pattern occurred in reverse. Inflation collapsed, culminating in a modern era low of -2 percent in July 2009. Yet while inflation was collapsing, bond yields rose sharply (Chart I-2 and Chart I-3). Chart I-2In 2009, Bond Yields Rose When Year-On-Year Inflation Fell Chart I-3In 2021, Bond Yields Fell When Year-On-Year Inflation Rose We can explain this seeming contradiction with an analogy from driving. The inflation rate is like your average speed over the past mile. But the bond market cares much more about your average speed over the next mile, or even over the next 5-10 miles. If you are driving at a constant speed, then your speed over the past mile is a good guide to your future speed. But if you have been driving unusually fast or unusually slowly, there is a more important predictor of your future speed. That important predictor is your acceleration – meaning, what is happening to your speed over successive hundred yards stretches. In the same way, during episodes of unusually low or unusually high inflation, the bond market focusses on the monthly rate of inflation, and specifically the moment that it stops decreasing, as in early-2009, or stops increasing, as in mid-2021. In 2008, after a long sequence of declining monthly rates of inflation that went deep into negative territory, the December 2008 print marked the first substantial increase. Hence, the bond yield also bottomed in December 2008 (Chart I-4), even though annual inflation did not bottom until July 2009. Chart I-4In 2009, Bond Yields Bottomed When Month-On-Month Inflation Bottomed Similarly, in 2020-21, after a six month sequence of increasing monthly rates of inflation, the May 2021 print marked the end of the rising trend. To the extent that this was anticipated, most of the decline in the bond yield has happened since mid-May (Chart I-5). Chart I-5In 2021, Bond Yields Topped When Month-On-Month Inflation Topped Since mid-May, the 60 percent crash in the lumber price shows what happens when supply bottlenecks ease. Other prices that are being supported by temporary supply constraints – such as used car prices – are likely to suffer the same fate (Chart of the Week). Hence, so long as the coming monthly prints confirm an ongoing deceleration in inflation, the current rally in bonds will stay intact. Jobs: The Hard Work Starts Now Staying on the theme of speed, there is a well-defined speed limit to every post-recession jobs recovery. In A Fed Rate Hike By Early 2023 Is Pie In the Sky, we pointed out the remarkable consistency in the pace of post-recession US jobs recoveries. The last five recessions had different causes, severities, durations and peak unemployment rates. Yet in the recoveries that followed each recession, the unemployment rate declined at a remarkably consistent pace of 0.4-0.5 percent per year (Table I-1). Table I-1After Every Recession, The Pace Of Recovery In The Jobs Market Is Near-Identical Reassuringly at the last FOMC press conference, Jay Powell supported this thesis: Most of the act of sort of going back to one's old job – that's kind of already happened. So, this is a question of people finding a new job. And that's just a process that takes longer. There may be something of a speed limit on it. You've got to find a job where your skills match, you know, what the employer wants. It's got to be in the right area. There's just a lot that goes into the function of finding a job. Powell’s comments lead to two further points: The act of going back to one’s old job for those on ‘temporary layoff’ is relatively straightforward. For job creation, this is the low hanging fruit, most of which has already been picked. Now comes the much harder part – finding jobs for those ‘not on temporary layoff’ whose numbers have barely declined from the peak (Chart I-6). Chart I-6For Job Creation, The Low Hanging Fruit Has Already Been Picked One way of encapsulating this is to observe that the unemployment rate – including those on temporary layoff – has already made 80 percent of the journey from its recession peak to the February 2020 trough, which makes it seem that the jobs recovery is largely done. However, the unemployment rate for those not on temporary layoff has made only 25 percent of the journey (Chart I-7). Moreover, this process is not a straight line, it is a curve. The first quarter of the journey is the easiest, then it gets harder. Chart I-7The Hard Part Is Finding Jobs For Those Unemployed 'Not On Temporary Layoff' As we, and Jay Powell, have pointed out, the process to reduce this unemployment rate has a remarkably consistent speed limit of 0.4-0.5 percent per year. Starting at the current rate of 2.5 percent and a target of 1.5 percent, this means full employment will not be reached before the second half of 2023. And even this assumes clear blue skies for the world economy through the next two years, which is a tall order. We conclude that the market pricing of a Fed funds rate lift-off in December 2022 is much too optimistic, making the December 2022 Eurodollar contract a good buy. The End Of Pandemic Restrictions Will Unleash Super-Spreaders On July 19, the UK will remove all its domestic pandemic restrictions – meaning no more facemasks, social distancing, and limits on the size of gatherings. This doesn’t mean that the pandemic is over in the UK. Far from it. The delta variant of the virus is rampant. Rather, with a large portion of the population vaccinated, the government is replacing state-imposed laws and regulations with a libertarian onus on personal responsibility. Given that Covid-19 is not going away, the UK strategy raises a fundamental question. Other than implementing a vaccination program, what role should a government take in containing the virus? In Who’s Right On The Pandemic – Sweden Or Denmark? we revealed two important findings: First, it is a misunderstanding that state-imposed restrictions cause the collapse in social consumption. This is a classic confusion between correlation and causation. The true cause of the recession is that a virulent disease focuses millions of people on self-preservation, shunning crowds and public places. But to the extent that the pandemic also leads to state-imposed restrictions, many people blame the slowdown on these correlated restrictions rather than on the underlying cause – the voluntary change in behaviour. Second, without state-imposed restrictions, the majority will voluntarily change their behaviour to avoid catching and spreading the virus, but a minority will not. When a virus is spreading, this is critical because a tiny minority of so-called ‘super-spreaders’ is responsible for most infections. Put simply, economic growth depends on the behaviour of the majority and in a pandemic the majority will voluntarily reduce their social consumption. This explains why libertarian Sweden and lockdown Denmark suffered similar contractions in their economies (Chart I-8). Chart I-8Libertarian Sweden Has Not Significantly Outperformed Lockdown Denmark... In contrast, containing the virus depends on restricting the minority of super-spreaders. Which explains why libertarian Sweden suffered a much worse outbreak of the disease than lockdown Denmark (Chart I-9). Chart I-9...But Libertarian Sweden Has Suffered Many More Covid-19 Casualties The worry now is that the end of state-imposed restrictions will unleash super-spreaders and super-spreading events. This will allow the virus to replicate, mutate, and create new variants which are potentially more transmissible and resistant to existing vaccines. Pulling together our three themes for the second half of the year, inflation is set to decelerate, job creation has a natural speed-limit, and super-spreaders of new-variant Covid-19 infections will create speed bumps in the economy. This means that:  Bonds will rally. The US dollar will rally. Growth stocks will outperform value stocks. US stocks will outperform non-US stocks Candidates For Countertrend Reversal This week, we present three candidates for countertrend reversal. First, the Brazilian real’s recent surge has hit expected resistance at 65-day fractal fragility. A good way to play a continued reversal is to short BRL/COP (Chart I-10). Chart I-10The Brazilian Real Is Correcting Second, within emerging markets, the strong rally in the Saudi equity market is vulnerable to a setback, especially versus other markets. A good way to play this is to short the Saudi Tadawul All Share index versus the FTSE Bursa Malaysia KLCI, given that the 260-day fractal structure is at the point of fragility that marked the major top in 2014 (Chart I-11). Chart I-11The Saudi Stock Market Is Vulnerable To A Setback Finally, coming full circle to short-term supply bottlenecks, one major beneficiary has been the Marine Transportation sector which, since February, has outperformed the world market by 70 percent. As the supply bottlenecks ease, this is vulnerable to correction, especially as the 260-day fractal structure is at the point of fragility that marked the major top in 2007 (Chart I-12). Chart I-12Underweight Marine Transportation Hence, this week’s recommended trade is to underweight Marine Transportation versus the market, setting the profit target and symmetrical stop-loss at 16.5 percent.   Dhaval Joshi Chief Strategist dhaval@bcaresearch.com Fractal Trading System Fractal Trades 6-Month Recommendations Structural Recommendations Closed Fractal Trades Closed Trades Asset Performance Equity Market Performance   Indicators To Watch - Bond Yields Chart II-1Indicators To Watch - Bond Yields - Euro Area Chart II-2Indicators To Watch - Bond Yields - Europe Ex Euro Area   Chart II-3Indicators To Watch - Bond Yields - Asia Chart II-4Indicators To Watch - Bond Yields - Other Developed   Indicators To Watch - Interest Rate Expectations Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations   Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations  

Special Report

Highlights Complementing the US Political Strategy Quantitative Presidential Election Model, we introduce our revised Quantitative Senate Election Model. Our senate election model measures the probability of the incumbent party (Democratic Party) to retain the Senate in the 2022 midterm election. The model predicts that Democrats are slightly favored to retain control of the Senate, though it is too early to call, which in combination with the high likelihood that the GOP will retake the House, points to a US political gridlock from 2023 to 2025. The “Blue Sweep” policy setting will end as early as the end of the year as Democrats pass Biden’s signature legislation. Post-midterm gridlock implies that taxes unlikely to rise further from 2023 while spending will not be subjected to cuts. While markets will not be alarmed if growth keeps up, near term surprises from potential tax hikes, rate hikes, and China’s slowdown warrants a more defensive positioning. Feature 2020 was not only the year of a highly contested US Presidential election, but also a close-knit battle for control of the US Senate, which had 351 seats up for reelection. The Republican party initially retained control of the Senate at the start of 2021 and the 117th congress, but this was short-lived. The Democrats secured victories in both run-off triggered Senate races in the state of Georgia, putting them at an even 50-50 hold with Republicans in the Senate. The inauguration of Vice President Kamala Harris who too became the Senate President, was the tie breaker the Democrats needed to take control of the Senate, and ultimately secure a “blue sweep” of holding the House of Representatives, the Senate and the White House. We recently introduced BCA US Political Strategy readers to our quantitative presidential election model. If you have not yet read it, you can access it here. In this week’s report we introduce our US Political Strategy Senate election model. We acknowledged that it was still early days in the presidential election cycle when we published our presidential election model but there were however some interesting takeaways from an early model forecast. For control of the Senate, however, the cycle is much shorter, with voting of one third of the Senate taking place every two years. The mid-term elections of 2022 are not that far-out, and with 34 seats up for reelection, we believe that introducing our readers to our Senate election model now will start to provide valuable insight going forward. Like our presidential election model, our Senate election model is a state-by-state model that uses both economic and political variables to predict the number of seats the incumbent party will win in the 2022 Senate election. Our Senate model covers a large sample size, consisting of 19 Senate elections (1984 to 2020), across 50 states, amounting to 950 observations. The Six Variables Our Senate model is based off a Probit regression that produces a probability that each state will remain under the control of the incumbent party. The dependent variable (classified as “elected”) is stated as follows: 1 = Incumbent party wins the Senate election in each state; or 0 = Incumbent party did not win the Senate election in each state. This method allows us to measure the probability that a state with certain characteristics will fall into one of two categories above. We can then predict the probability of the incumbent party winning all the Senate seat/s in each of the 50 states (although this is only relevant to one-third of the states that have a Senate seat up for election in 2022). State economic health. Specifically, we use the Federal Reserve Bank of Philadelphia State Coincident Index for each of the 50 states. The coincident index combines four of a given state’s economic indicators to summarize current economic conditions in a single statistic. The four indicators are nonfarm payroll employment; average hours worked in manufacturing by production workers; the unemployment rate; and wage and salary disbursements plus proprietors' income deflated by the consumer price index (US city average). In other words, it captures job growth, manufacturing wages, joblessness, and real household income. The incumbent party’s margin of victory in previous Senate elections in each state Senate race. This is measured as the incumbent party’s share of the popular vote minus the non-incumbent party’s share. If the incumbent party failed to secure a solid win in each state in the previous Senate election, the probability of securing a solid win in the current election becomes smaller. Moreover, the larger the margin of victory in a previous Senate election race, the more likely that incumbent party will win re-election in said state. Net average approval level of the incumbent president in a Senate election year. This is the difference between the incumbent president’s approval and disapproval level in a Senate election year, from the start of the year up until the end of October of that year – taken as an average. Generic congressional ballot (net support rate). The generic congressional ballot asks people which party they are likely to vote for in Congress. We take the average net support rate in a Senate election year (that being whichever party leads the other in congressional ballot polling). Democrats are usually favored in congressional generic ballot voting, so the net rate is more predictive than the gross rate Dummy variable for congressional ballot. A dummy variable is assigned to variable number four. For example, dummy takes the value of 1 when Democrats have a positive net support rate in generic congressional ballot voting, and 0 when Republicans have a net positive support rate. We assign only one dummy variable to avoid a dummy variable trap.2 A “time for change” variable, a categorical variable indicating whether the incumbent party has controlled the Senate for three or more terms (six or more years). If the Senate has been controlled for three or more terms, the model will “punish” the incumbent party, as we would expect to see a change in control of the Senate the longer one incumbent party controls it. Democrats Retain Control Of The Senate As it stands, our election model predicts that Democrats will retain control of the Senate in 2022 (Chart 1). The Democrats are predicted to win 49 seats, a gain of one seat over the 2020 Senate election outcome,3 and when coupled with the two seats of Independent Senators, give them a majority of 51 seats. Chart 1Quant Model Gives Democrats 54% Chance Of Retaining The Senate The additional seat for Democrats stems from our model allocating both North Carolina and Pennsylvania (which are currently occupied by Republicans) to the Democrats (+ two seats) and allocating one of Georgia’s seats occupied by Raphael Warnock4 back to Republican control. The Democrats overall probability of retaining control of the Senate is 54%, three percentage points higher than early market predictions (Chart 2). The market implied odds highlight another close battle between Democrats and Republicans to control the Senate in 2022. Chart 2Market Narrowly In Favor Of Democratic Senate Control North Carolina is the only toss-up state,5 with a 51% chance of a Democratic victory. Pennsylvania will switch to Democrats and Georgia to Republicans. Note that North Carolina and Pennsylvania are both currently under Republican control. Both incumbents have decided not to run again. While both Georgia Senate run-off races were won by Democrats earlier this year, the sum of first-round voting in November 2020 was higher for Republican candidates than for Democrats. There was also extra-ordinary voter turnout in favor of Democrats for both run-offs, which ultimately played a big role in Democrats securing victory. Voter turnout was largely spurred on by voting against Republicans, and ultimately Donald Trump. This may not be the case come 2022, if turnout for Democrats is unmatched to 2020/2021. Our model’s prediction will evolve over time as new data become available, which could produce more toss-up states, or swing the prediction in favor of the opposing party. For now, the model provides us with a preliminary prediction as we draw nearer to the 2022 midterm elections. Senate Races Of Interest Comparing our model’s prediction to online betting markets, we group nine races into a category of “interest”. All nine races have varying degrees of probability for a Democratic win, ranging from approximately 30% to 60%. Five races are overestimated, and four races are underestimated by consensus (Chart 3). The remaining 25 races are decidedly in favor of either Democrat or Republican control, according to our model, so are therefore excluded from this analysis. Betting markets are overestimating Nevada, Arizona, Pennsylvania, Georgia, and Wisconsin, while underestimating New Hampshire, North Carolina, Florida and Ohio. Chart 3Senate Odds Compared With The Bookies All nine of these races are precariously balanced, even at this stage of the mid-term election cycle. Small or local factors could ultimately decide the outcome. This is an important limitation on our macro model, highlighting our ultimate emphasis on qualitative analysis. For example, it is not at all clear that Democrats will win Georgia. Our model gives Democrats a 43% chance of victory. Betting markets are a lot more optimistic, penning a 55% chance of a Democratic win. But even by our model’s standard, Georgia remains a toss-up. Georgia may not be as close of a race as it was in 2020/2021, if voters are not as motivated as they were to vote Democrat. Will turnout be as large in 2022? That remains to be seen. One or two races with unique makeup can contribute to maintaining or shifting the balance of power in the Senate come 2022. Back Testing Our Model Our Senate model performs at an acceptable level during in-sample and out-sample back testing. For in-sample testing, we test our model over our entire sample period (1984 – 2020) and find that 74% of Senate elections (control of the Senate) are correctly predicted, with the model predicting the outcome of the last five Senate elections correctly (Chart 4). Chart 4In-Sample Back Testing Results During out-sample back testing, we look at a sample period of 2000 – 2020, comprising of 11 Senate elections, where our model correctly predicts 73% of actual outcomes. The previous five Senate elections are predicted correctly too (Chart 5). Chart 5Out-Sample Back Testing Results In comparison to our presidential election model, prediction accuracy of our Senate model is lower across its sample period. Predicting control of the Senate can sometimes be more uncertain than that of the White House. Both statistical and event based (Senate elections) reasons give way to a lower accuracy rate in this case. For example, there could be several idiosyncratic state-level variables not captured by our model, which could have played a leading role in determining any one state’s Senate election outcome over our sample period, and ultimately, control of the Senate. Where To From Here? In comparison to the presidential election cycle, we are a lot closer to election day. That means that Senate races will begin to heat up as we move closer toward November 8, 2022 – the date of the midterm elections. For now, our model ratifies the current control of the Senate, that is, Democratic. Our Model also suggests that come 2022, the Democrats will retain control of the Senate. But this is all but an early forecast. If any long-standing conclusion can be drawn right now, it is that the battle for control of the Senate in 2022 will be highly contested. From a qualitative point of view, our model may be overestimating the Democrats’ odds in 2022 as things stand today. Midterm elections have historically seen the sitting president’s party lose seats in the Senate and House of Representatives. We already expect Republicans to retake the House after a poor showing by Democrats in 2020. This narrative may play into the Republicans taking the Senate too – and is plausible given how closely the battle for the Senate is wound. But congressional approval has ticked higher lately under a Democratic run congress (Chart 6). Most likely, the American public have largely approved of COVID-19 government relief, and the Democrats will pass at least one more major piece of legislation covering infrastructure. Republicans are deeply divided, so there is some chance that they underperform in 2022. Nevertheless, the historical pattern clearly favors the opposition. The takeaway is to expect the GOP to retake the house but to monitor the Senate closely with both quantitative and qualitative tools. Chart 6US Public Approving Of Congress ?!? Lastly, and importantly, we should note that in both the case of the presidential and Senate models, a probability between 50% and 55% for the incumbent party retaining control of the White House or Senate is indicative of an outcome “too close to call.” Both models are touting Democratic wins, but high conviction views about either the 2024 presidential election or 2022 Senate election are not warranted at this time. Investment Takeaway Unless 2022 is one of the rare cases of an incumbent party legislative victory after a national shock, like 1934 and 2002, Republicans will take the House at least. This is likely notwithstanding our model’s slight tilt in favor of Democrats in the Senate. This means that the “Blue Sweep” policy setting will cease as early as 2023, but de facto it would cease as early as the end of this year when Biden’s signature legislation is passed, since Congress will get little done in 2022. Our model suggests Republicans are slightly disfavored in the Senate. The truth is that as long as they gain one chamber of the legislature then US fiscal stimulus will virtually freeze. Taxes will no longer be able to rise from 2023 but spending will not be subject to cuts. Gridlock is reinforced by our presidential quant election model’s slightly higher odds of Democrats retaining the White House, which we think is underestimated at present. Hence Biden will retain veto power even if Democrats squander the Senate and House in 2022. Gridlock is thus looming from 2023 until at least 2025. The financial markets will not be alarmed by this forecast as long as growth keeps up. In the very near term, however, the clouds on the horizon of tax hikes, Fed rate hikes, and China’s tight-fisted economic policy pose rising headwinds to US equities in 2022 — and hence markets should respond negatively sooner than later. We are tactically growing more defensive.   Guy Russell Research Analyst GuyR@bcaresearch.com   Statistical Appendix Some clients may be curious as to how our US Political Strategy Senate election model differs from our Geopolitical Strategy model used in the 2020 elections, and where it has made improvements in its predictive accuracy. We discuss these improvements herein. Changes To The Geopolitical Strategy Senate Election Model A notable property in our dependent variable data requires a brief discussion. Our dependent variable classified as “elected” takes the form of a binary outcome. This data, however, is what’s called “unbalanced,” since incumbent Senators are re-elected approximately 80% of the time. This means that most outcomes in our dependent variable are coded as “1,” with fewer “0’s” because of the strong incumbency effect in Senate races. There are many data sets that exhibit this type of property, such as events like wars, vetoes, cases of political activism, or epidemiological infections, where non-events occur rarely. To alleviate this statistical property in the data, we estimate our model using a weighted maximum likelihood estimate as opposed to the ordinary maximum likelihood estimate usually used in a Probit regression.6 This method assigns more weighting to the unbalanced data, or what is known theoretically as “rare event” data, to aid the Probit regression in assigning higher probabilities to “0” outcomes. Through this process, we effectively deal with our unbalanced dependent variable data. The last update to the BCA Geopolitical Strategy Senate election model was published on January 6, 2021. Our model suggested that Republican’s would retain control of the Senate. Our model was limited in dealing with a unique twin Georgia run-off race that ultimately swung Senate control into the hands of the Democrats. The Geopolitical Strategy, which we will refer to as the 2020 model, only missed the Republican victory in Maine, but correctly predicted losses in Arizona and Colorado. The model missed both Georgia races, signaling they would remain red states – this was proven otherwise. Also, our model has become a better predictor in terms of in and out-sample forecasting (compared to our 2020 model). The 2022 version correctly predicts 74% (vs 72%) of in-sample and 73% (vs 70%) of out-sample outcomes. Methodology And Variables Our Senate model retains the methodology and suite of economic and political variables used in the model we first introduced in 2020. For long-time clients and those who are new to the US Political Strategy and Geopolitical Strategy service, the first version of our model can be found here. The one and only economic variable is now transformed by a six-month change to each state’s coincident index, capturing the improvement or deterioration of the state’s economy. The six-month change results in the best statistical fit for the overall model this time round. In the 2020 model, we transformed the variable by a three-month change. A fast-changing economic environment coupled with a then-higher statistical impact in our model led us to this decision. We still weight the transformation of our economic variable in the same manner as we did in last year’s updated model. We take a weighted average of the six-month change of all the monthly state coincident indices in the term preceding a Senate election. Later months are weighted heavier than earlier months as the most recent context will have a greater impact on voter opinion in the election. In terms of our political variables, they all remain the same as the 2020 model. Model Performance Classification The 2022 model correctly classifies predicted outcomes at a rate of exactly 81%. That is, when the model makes a prediction of a certain state’s Senate election outcome from 1984-2020, it is correct 81% of the time. This level of classification is higher than our 2020 model, which classified outcomes at a rate of 79% (Table 1). Table 1New Model Classifies Outcomes At A Higher Rate … Sensitivity And Specificity – Receiver Operating Characteristic Curve A Receiver Operating Characteristic (ROC) curve is a performance measurement for classification problems of binary modelled outcomes, among others. An ROC curve tells us how much the model is capable of distinguishing between classes. In our case, we have two classes: the dependent variable (classified as “elected”) is stated as 1 = Incumbent party wins the Senate election in each state; or 0 = Incumbent party did not win the Senate election in each state. The higher the area under the curve (AUC), the better our model is at predicting 0 classes as 0 and 1 classes as 1. A robust model has an AUC near to one. A poor model has an AUC near to zero, which means it has the worst measure of classifying classes correctly, labelling zeros as ones and vice versa. In fact, at a level of zero AUC, the model is reciprocating incorrect classes by predicting zeros as ones and ones as zeros. Statistically, more AUC means that the model is identifying more true positives while minimizing the number/percent of false positives. Chart 7Receiver Operating Characteristic Curve Of 2022 Model Table 2… Is A Better Fit … The ROC curve for our 2022 model has an AUC of 0.9609 (Chart 7), a higher AUC than our 2020 model (Table 2). This means that the true positive rate for classifying outcomes is high and the false positive rate is low, improving on our model’s robustness. F1 Scores A final grading of the 2022 model is by means of the F1 score. The F1 score is a measurement that considers both precision (specificity in the above ROC curve) and recall (sensitivity in the above ROC curve) to compute the score. The F1 score can be interpreted as a weighted average of the precision and recall values, where an F1 score reaches its best value at 1 and worst value at 0. The 2022 model produces a higher F1 score compared to our 2020 model (Table 3). Table 3… And Is More Accurate Than The 2020 Model Considering the improvement in forecast accuracy and overall better model specification over our 2020 model, we accept our 2022 model as our new base case Senate election model, premised on its improvement in accuracy at predicting election outcomes in the past, as well as its ability to correctly classify outcomes as they were realized. Appendix Tables Table A1USPS Trade Table Table A2Political Risk Matrix Chart A1Presidential Election Model Table A3APolitical Capital: White House And Congress Table A3BPolitical Capital: Household And Business Sentiment Table A3CPolitical Capital: The Economy And MarketsTable A4Political Capital Index Footnotes 1     Two of which were open Senate seats for the state of Georgia. 2     A dummy variable trap is a scenario in which the independent variables are multicollinear — a scenario in which two or more variables are highly correlated; or, in simple terms, in which one variable can be predicted from the others. To avoid such a trap, we must exclude one of the categorical variables. Since there are two categorical variables that can be represented here (Republican or Democrat), we use k-1 (where k = the number of categorical variables). 3    In reference to the Senate election outcome after the Georgia run-off races which concluded in early January 2021. 4    This seat formed part of the 2020 special Senate election race which was decided by a run-off election between Raphael Warnock and Kelly Loeffler. The seat was always up for reelection in 2022 no matter which party won it in the 2020 special election. 5    Toss-ups are defined as having a probability between 45% and 55% according to our model. 6    Weighted maximum likelihood estimation is a reasonable approach in dealing with dependent variables that show significant imbalance in their data set. See: King, G. and Zeng, L., 2001. Logistic regression in rare events data. Political analysis, 9(2), pp.137-163.  

Highlights Q2/2021 Performance Breakdown: Our recommended model bond portfolio underperformed the custom benchmark index by -6bps during the second quarter of the year. Winners & Losers: The government bond side of the portfolio underperformed by -21bps, led overwhelmingly by our underweight to US Treasuries (-18bps). Spread product allocations outperformed by +15bps, primarily due to overweights on US high-yield (+11bps) and US CMBS (+3bps). Portfolio Positioning For The Next Six Months: We are maintaining an overall below-benchmark portfolio duration stance, against a backdrop of persistent above-trend global growth and a highly stimulative fiscal/monetary policy mix. We are maintaining a moderate overweight to global spread product versus government debt, concentrated on an overweight to US high-yield where valuations look the least stretched. We are making two changes to the portfolio allocations heading into Q3: shifting the Treasury curve exposure to have more of a flattening bias, while downgrading EM USD-denominated corporates to neutral. Feature The trend in global bond yields so far in 2021 has been a tale of two quarters. The first three months of the year saw a surge in yields worldwide on the back of rapidly improving economic data, the rollout of COVID-19 vaccines and supply squeezes triggering rapid increases in inflation. During the second three months of the year, however, global yields drifted a bit lower in response to more mixed economic data, the spread of the Delta variant and slightly hawkish shifts from a few key central banks – most notably, the Fed – even with economic confidence measures remaining upbeat across the developed economies. The decline in yields has not been seen across the maturity spectrum, though. The yield-to-maturity of the Bloomberg Barclays Global and US Treasury 10+ year indices fell by -12bps and -30bps, respectively, from recent peaks. At the same time, shorter term bond yields have been relatively stable as central banks continue to signal that interest rate hikes are still well off into the future. In contrast to government bonds, credit markets have remained calm with spreads tight for developed market corporates and emerging market (EM) debt. With that in mind, we present our quarterly review of the BCA Research Global Fixed Income Strategy (GFIS) model bond portfolio during the second quarter of 2021. We also present our recommended positioning for the portfolio for the next six months (Table 1), as well as portfolio return expectations for our base case and alternative investment scenarios. The latter half of 2021 should prove to be even more challenging for bond investors, who must disentangle less consistent messages across countries on the Delta variant, vaccinations, inflation and the outlook for both monetary and fiscal policy. Table 1GFIS Model Bond Portfolio Recommended Positioning For The Next Six Months As a reminder to existing readers (and to new clients), the model portfolio is a part of our service that complements the usual macro analysis of global fixed income markets. The portfolio is how we communicate our opinion on the relative attractiveness between government bond and spread product sectors. We do this by applying actual percentage weightings to each of our recommendations within a fully invested hypothetical bond portfolio. Q2/2021 Model Bond Portfolio Performance: Mixed Returns Chart 1Q2/2021 Performance: Credit Gains & Duration Losses The total return for the GFIS model portfolio (hedged into US dollars) in the second quarter was +1.13%, slightly underperformed the custom benchmark index by -6bps (Chart 1).1 In terms of the specific breakdown between the government bond and spread product allocations in our model portfolio, the former generated -21bps of underperformance versus our custom benchmark index while the latter outperformed by +15bps. We have remained significantly underweight US Treasuries and positioned for a bearish steepening of the US Treasury curve since just before last year's US presidential election. That tilt was a big contributor to the excess return of the portfolio in Q1 (+63bps) that was partially given back (-18bps) in Q2 as longer maturity Treasury yields fell during the quarter. Our inflation-linked bond allocations in the US and Europe (+5bps) helped mitigate the loss on the government bond side from our below-benchmark duration stance and general curve steepening bias in most countries in the portfolio (Table 2). Table 2GFIS Model Bond Portfolio Q2/2021 Overall Return Attribution The sum of excess returns during the quarter from countries that we overweighted (Germany, France, Italy, Spain, and Japan) was zero. Improving growth momentum and stronger economic confidence helped push yields higher in those countries. Therefore, those positions could not offset the losses from the underweight to US Treasuries. We did make two shifts in the country allocation within the government bond portion of the portfolio during Q2, downgrading Canada to underweight on April 20 and upgrading Australia to overweight on June 9. Neither change meaningfully contributed to the return of the portfolio. Meanwhile, our moderate overall overweight tilt on spread product versus government bonds fueled the outperformance from the credit side of the portfolio, led by US high-yield (+11bps) and US CMBS (+3bps). Overall gains from spread product were impressive in both USD-hedged total return terms (+95bps) and relative to our custom benchmark (+15bps), despite spreads entering Q2 at fairly tight levels. In the second quarter, improving economic confidence and easing credit conditions allowed spreads to narrow even further for corporate debt in the US and Europe, as well as for EM USD-denominated credit. The bar charts showing the total and relative returns for each individual government bond market and spread product sector are presented in Charts 2 & 3. Chart 2GFIS Model Bond Portfolio Q2/2021 Government Bond Performance Attribution Chart 3GFIS Model Bond Portfolio Q2/2021 Spread Product Performance Attribution By Sector Biggest Outperformers: Overweight US high-yield: Ba-rated (+5bps), B-rated (+4bps), and Caa-rated (+3bps) Overweight US TIPS (+4bps) Overweight US CMBS (+3bps) Overweight Euro Area high-yield (+1bps) Biggest Underperformers: Underweight US Treasuries with a maturity greater than 10 years (-17bps), Underweight US Treasuries with a maturity between 7 and 10 years (-3bps) Underweight US Treasuries with a maturity between 5 and 7 years (-2bps) Underweight EM USD sovereigns (-1bps) Underweight UK GIlts with a maturity greater than 10 years (-1bps) Chart 4 presents the ranked benchmark index returns of the individual countries and spread product sectors in the GFIS model bond portfolio for Q2/2021. Returns are hedged into US dollars (we do not take active currency risk in this portfolio) and adjusted to reflect duration differences between each country/sector and the overall custom benchmark index for the model portfolio. We have also color coded the bars in each chart to reflect our recommended investment stance for each market during Q2 (red for underweight, dark green for overweight, gray for neutral). Chart 4Ranking The Winners & Losers From The GFIS Model Bond Portfolio Universe In Q2/2021 Ideally, we would look to see more green bars on the left side of the chart where market returns are highest, and more red bars on the right side of the chart were returns are lowest. In Q2, the picture on that front was mixed. We were only neutral some of the biggest outperformers like UK Gilts (+312bps in USD-hedged duration-matched total return terms) and investment grade credit in the US (+430bps) and UK (+231bps). Our relative value allocation within EM, overweight corporates (+430bps) versus sovereigns (+527bps), also underperformed during Q2. We remained overweight government debt markets in the euro area which were the worst performers during the quarter (Germany: -25bps, Spain: -59bps, Italy: -67bps, and France: -83bps). The news was better on the credit side, where our significant overweight to US high-yield (+146bps) was a big positive contributor, as were overweights to US CMBS (+137bps) and euro area high-yield (+92bps). Bottom Line: Our model bond portfolio slightly underperformed its benchmark index in the second quarter of the year by -6bps – a negative result mainly driven by our underweight allocation to the US Treasury market but with an overweight to US high-yield providing a meaningful offset. Future Drivers Of Portfolio Returns & Scenario Analysis Looking ahead, the performance of the model bond portfolio will continue to be driven primarily by swings in global government bond yields, most notably US Treasuries. Our most favored cyclical indicators for global bond yields are still, in aggregate, signaling more upside potential over at least the next six months, although the nature of the signal is changing (Chart 5). Our Global Duration Indicator, comprised of leading economic indicators and measures of future economic sentiment, remains elevated but appears to have peaked. At the same time, the global manufacturing PMI, which typically leads global real bond yields by around six months, continues to climb to new cyclical highs. This suggests that the recent downdraft in global real bond yields could prove to be short-lived. Our Global Central Bank Monitor is climbing steadily, indicating greater upward pressure on bond yields from the combination of strong growth, rising inflation and loose financial conditions. Admittedly, bond yields are lagging the upward trajectory implied by the Monitor with central banks deliberately responding far more slowly to the cyclical pressures that would have triggered bond-bearish monetary tightening in the past. Nonetheless, the Monitor, the Global Duration Indicator and the global manufacturing PMI and all sending the same message – global bond yields remain too low, suggesting a below-benchmark overall portfolio duration stance remains appropriate. With regards to country allocation within the government bond side of our model portfolio, we continue to overweight countries where central banks are less likely to begin normalizing pandemic-era monetary policy quickly (Germany, France, Italy, Spain, Japan, Australia), while underweighting countries where normalization is expected to begin within the next 6-12 months (the US and Canada). We remain neutral the UK, although we have them on “downgrade watch” until there is greater clarity on how severely the spread of the Delta variant is impacting UK growth. The US remains the biggest underweight. The modestly hawkish turn by the Fed at the June FOMC meeting likely marked the end of the cyclical bear-steepening trend of the US Treasury curve. A full-blown turn to a bear-flattening of the US curve will be slow to develop, but we fully expect the cyclical pressures that drove the underperformance of longer-maturity US Treasuries over the past year to begin leaking into shorter-maturity bonds. That trend already appears to be underway with 5-year US yields starting to drift upward at a faster pace compared to other developed market peers (Chart 6). Chart 5Cyclical Indicators Suggest Global Yields Still Have More Upside Chart 6UST Underperformance Will Shift To Shorter Maturities This leads us to make a change to our model portfolio allocations this week, reducing the exposure to the belly of the US Treasury curve (the 3-5 year and 5-7 year maturity buckets), while modestly increasing the allocation to the 7-10 year bucket. To neutralize the duration-extending implication of that marginal shift, we added a new allocation to US Treasury bills, thus turning this US Treasury shift into a “butterfly” trade, essentially selling the 5-year bullet for a cash/10-year barbell. Longer-term Treasury yields, however, are still in the process of working off an oversold condition that developed in Q1 (Chart 7). Duration positioning remains quite short, according to the JP Morgan survey of bond investors, while speculators are still working off a huge net short position in 30-year Treasury futures according to data from the CFTC. We anticipate that it will take another month or two to work off such an extreme oversold condition for US Treasuries, based on similar episodes over the past two decades. After that, longer-maturity Treasury yields will begin to begin climbing again, to the benefit of the US underweight (and below-benchmark duration stance) in our model portfolio. Chart 7Longer-Maturity USTs Working Off Oversold Condition Chart 8A Sharply Diminished Impulse From Global QE Outside the US, the bond-friendly impact of quantitative easing programs is fading, on the margin, with the growth of central bank balance sheets slowing (Chart 8). While outright tapering of bond buying has only occurred in Canada and the UK (within our model bond portfolio universe), we expect the Fed to begin tapering in early 2022. Financial stability concerns are expected to play an increasingly important role in future tapering decisions, with house prices booming in many countries, most notably Canada which supports our underweight stance on Canadian government debt. Australia is the notable exception to this trend towards slowing balance sheet growth, with the Reserve Bank of Australia (RBA) maintaining a healthy pace of bond buying given underwhelming realized inflation. The recent wave of COVID-19 cases, which has left half of Australia under lockdowns that were largely avoided in 2020, will ensure that the RBA stays dovish for longer, to the benefit of our overweight stance on Australian government bonds. We continue to see the overall dovish stance of global central bankers as being conducive to the outperformance of inflation-linked bonds versus nominal government debt. However, inflation breakevens in most countries have largely completed the rebound from the depressed levels reached during the 2020 COVID-19 global recession. Our Comprehensive Breakeven Indicators combine three measures to determine the upside potential for 10-year inflation breakevens: the distance from fair value based on our models, the spread between headline inflation and central bank target inflation, and the gap between market-based and survey-based measures of inflation expectations. Those indicators suggest that the most attractive markets to position for further upside potential for breakevens are in Italy and France, with breakevens looking more stretched in the US, Canada and Australia (Chart 9). On the back of this, we are maintaining our allocations to inflation-linked bonds in the euro area in our model portfolio. Chart 9Less Scope For Wider Global Inflation Breakevens Chart 10Fading Support For Credit Markets From Global QE Moving our attention to the credit side of our model portfolio, we feel that a moderate overweight stance on overall global corporates versus governments remains appropriate. However, the slowing trend in developed market central bank balance sheets, as an indicator of the incremental shift away from the COVID-era monetary policies from 2020, is flashing a warning sign for the performance of global spread product. The annual growth rate of the combined balance sheets of the Fed, ECB, Bank of Japan and Bank of England has been an excellent leading indicator of the excess returns of both global investment grade and high-yield corporates over the past decade (Chart 10). That growth rate peaked back in February of this year, suggesting a peak of global corporate bond excess returns around February 2022 Although given the current tight level of global corporate bond spreads, both for investment grade and high-yield, we expect future return outperformance from corporates versus government debt to come from carry rather than spread compression. Our preferred measure of the attractiveness of credit spreads is the historical percentile ranking of 12-month breakeven spreads, which measure how much spreads would need to widen to eliminate the carry advantage over duration-matched government bonds on a one-year horizon. Currently, only the lower-rated high-yield credit tiers in the US and euro area offer 12-month breakeven spreads above the bottom quartile of their history, within the credit sectors of our model portfolio (Chart 11). Chart 11Lower-Rated High-Yield Offers Relatively Attractive Spreads Given the sharply reduced default risks on both sides of the Atlantic, and with nominal growth in good shape amid low borrowing rates, we are maintaining our overweights to high-yield bonds in both the US and euro area. At the same time, we are sticking with only a neutral stance on investment grade corporates in the US, euro area and the UK. We do anticipate starting to reduce the overall corporate bond exposure later this year, however, based on the ominous leading signal from the growth of central bank balance sheets – and what that signals about the future path for global monetary policy. Within the euro area, we continue to prefer owning Italian government bonds (and to a lesser extent, Spanish government debt) over investment grade corporates, given the more explicit support for the sovereigns through ECB quantitative easing (Chart 12). We expect the ECB to be the most accommodative central bank within our model portfolio universe over at least the next year, with even tapering of any kind unlikely in 2022. Chart 12Favor Italian BTPs Over Euro Area Investment Grade One area of the spread product universe where we are starting to reduce risk in the model portfolio is EM USD-denominated credit. EM debt has benefited from a bullish combination of global policy stimulus, a weakening US dollar and rising commodity prices over the past year. We have positioned for that in our model portfolio through an overall overweight stance on EM USD-denominated debt, but one that favors investment grade corporates over sovereigns. Now, all of those supportive factors for EM credit are fading. Chinese policymakers have reigned in both credit stimulus and fiscal stimulus this year, with the combined impulse suggesting a slower pace of Chinese economic growth in the latter half of 2021 (Chart 13). Given China’s huge share of the global consumption of industrial commodities, slowing Chinese growth should cool the momentum of commodity prices over the next few quarters. A slowing liquidity impulse from global central bank asset purchases is also a negative for EM debt performance, on the margin. The same can be said for the US dollar, which is no longer depreciating as markets start to pull forward the expected future path for US interest rates (Chart 14). A stronger US dollar typically correlates with softer commodity prices and wider EM credit spreads. Chart 13Major EM Risks: China Tightening & Global QE Tapering Chart 14EM Supportive USD Weakness Is Fading In response to these growing risks to the bullish EM backdrop - including the rapid spread of the Delta variant made worse by the less-effective vaccines available in those countries - we are downgrading our overall EM USD credit exposure in the model bond portfolio to underweight from neutral. We are doing this by cutting the EM corporate exposure from overweight to neutral, while maintaining an underweight tilt on EM USD sovereigns. We expect to further cut the EM exposure in the coming months by moving to a full underweight on EM corporates. Summing it all up, our overall allocations and risks in our model portfolio leading into Q3/2021 look like this: An overall below-benchmark stance on global duration, equal to nearly one full year versus the custom index (Chart 15) A moderate overweight stance on global spread product versus government debt, equal to five percentage points of the portfolio (Chart 16). This overweight comes almost entirely from overweight allocations to US and euro area high-yield corporate debt. Chart 15Overall Portfolio Duration: Stay Below Benchmark Chart 16Overall Portfolio Allocation: Small Spread Product Overweight After the changes made to our US Treasury and EM positions, the tracking error of the portfolio, or its expected volatility versus that of the benchmark index, is quite low at 34bps (Chart 17). The main reason for this is that our positioning remains focused heavily on the US (Treasury underweight, high-yield overweight), with much of the other positioning close to neutral or largely offsetting other positions in a relative value sense (overweight Australia vs underweight Canada, overweight US CMBS versus underweight US Agency MBS). This fits with our desire to maintain only a moderate level of overall portfolio risk. The yield of the portfolio is now slightly higher than that of the benchmark, with a small “positive carry”, hedged into USD, of 13bps (Chart 18). Chart 17Overall Portfolio Risk: Moderate Chart 18Overall Portfolio Yield: Small Positive Carry Vs. Benchmark Scenario Analysis & Return Forecasts After making the shifts to our model bond portfolio allocations in the US and EM, we now turn to scenario analysis to determine the return expectations for the portfolio for the next six months. On the credit side of the portfolio, we use risk-factor-based regression models to forecast future yield changes for global spread product sectors as a function of four major factors - the VIX, oil prices, the US dollar and the fed funds rate (Table 2A). For the government bond side of the portfolio, we avoid using regression models and instead use a yield-beta driven framework, taking forecasts for changes in US Treasury yields and translating those in changes in non-US bond yields by applying a historical yield beta (Table 2B). For our scenario analysis over the next six months, we use a base case scenario plus two alternate “tail risk” scenarios. We see global growth momentum and the Fed monetary policy outlook as the two most important factors for fixed income markets in the second half of 2021, thus our scenarios are defined along those lines. Table 2AFactor Regressions Used To Estimate Spread Product Yield Changes Table 2BEstimated Government Bond Yield Betas To US Treasuries Base Case Global growth stays above-trend in both Q3 and Q4, putting downward pressure on unemployment rates and keeping realized inflation elevated. Ongoing global vaccinations lead to more of the global economy fully reopening, with the Delta variant not having serious widespread impact on economic confidence outside of parts of the emerging world. Excess savings built up during the pandemic are run down by both consumers and businesses as optimism stays ebullient within the developed economies. China credit tightening slows growth enough to cool off upward commodity price momentum. At the same time, falling US unemployment and surprisingly “sticky” domestic US realized inflation embolden the Fed to signal a move to begin tapering its bond purchases starting in January 2022. Real bond yields globally bottom out, while inflation expectations recover some of the pullback seen in Q2/2021. The entire US Treasury curve shifts higher, led by the 10-year reaching 1.65% and a modest bear-flattening of the 5-year/30-year curve. The VIX stays near 15, the US dollar rises +3%, the Brent oil price goes nowhere and the fed funds rate is unchanged at 0% Upside Growth Surprise The Delta variant proves to be far less deadly than feared. A rapid pace of global vaccinations leads to booming growth led by the US but including a fully reopened euro area. Chinese policymakers begin to reverse some of the H1/2021 credit tightening. Unemployment rates rapidly fall worldwide, while supply bottlenecks persist, keeping upward pressure on realized inflation. Markets pull forward the timing and pace of future central bank interest rate hikes, most notably in the US when the Fed begins tapering bond purchases sooner than expected before year-end. Real bond yields drift higher globally, but inflation breakevens stay elevated with the earlier surge in realized inflation proving not to be “transitory”. The US Treasury curve modestly bear-flattens, with the 10-year reaching 1.9% and the 5-year/30-year spread narrowing by 25bps. The VIX rises to 25 as risk assets struggle in response to rising bond yields even with faster growth. The US dollar falls -5% on the back of improving global growth expectations, the Brent oil price climbs +5% and the fed funds rate stays unchanged. Downside Growth Surprise The global economy gets hit on multiple fronts: the rapid spread of the Delta variant overwhelms the positive momentum on vaccinations, most notably in EM countries; Europe struggles to fully reopen; China policy tightening results in a larger-than-expected drag on global growth; and US households are reluctant to draw down on excess savings after government income support measures expire in September. Diminished economic optimism leads to a pullback in global equity values, lower government bond yields and wider global credit spreads. The US Treasury curve bull flattens as longer-maturity yields fall in a risk-off move, with the 10-year yield moving back down to 1.25% alongside lower inflation breakevens. The VIX rises to 30, the safe-haven US dollar rises +5%, the Brent oil price falls -10% and the fed funds rate stays at 0%. Chart 19Risk Factor Assumptions For The Scenario Analysis Chart 20US Treasury Yield Assumptions For The Scenario Analysis The inputs into the scenario analysis are shown in Chart 19 (for the USD, VIX, oil and the fed funds rate), while the US Treasury yield scenarios are in Chart 20. The excess return scenarios for the model bond portfolio, using the above inputs in our simple quantitative return forecast framework, are shown in Table 3A (the scenarios for the changes in US Treasury yields are shown in Table 3B). Table 3AGFIS Model Bond Portfolio Scenario Analysis For The Next Six Months Table 3BUS Treasury Yield Assumptions For The 6-Month Forward Scenario Analysis The model bond portfolio is expected to deliver a positive excess return over the next six months of +46bps in the base case scenario and +28bps in the optimistic growth scenario, but is projected to underperform by -36bps in the pessimistic growth scenario. Bottom Line: We are maintaining an overall below-benchmark portfolio duration stance, against a backdrop of persistent above-trend global growth and a highly stimulative fiscal/monetary policy mix. We are maintaining a moderate overweight to global spread product versus government debt, concentrated on an overweight to US high-yield where valuations look the least stretched. We are making two changes to the portfolio allocations heading into Q3: shifting the Treasury curve exposure to have more of a flattening bias, while downgrading EM USD-denominated corporates to neutral. Robert Robis, CFA Chief Fixed Income Strategist rrobis@bcaresearch.com   Ray Park, CFA Research Analyst ray@bcaresearch.com Footnotes 1 The GFIS model bond portfolio custom benchmark index is the Bloomberg Barclays Global Aggregate Index, but with allocations to global high-yield corporate debt replacing very high-quality spread product (i.e. AA-rated). We believe this to be more indicative of the typical internal benchmark used by global multi-sector fixed income managers. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns