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.