Europe
Europe implemented particularly draconian lockdowns in the spring, which resulted in violent declines in mobility and, as a corollary, in economic activity. However, Europe is re-opening and its second wave remains marginal. Consequently, European mobility is…
Among many investors, low bond yields arouse worries that equities will make new lows in the coming months. The idea is that low bond yields, especially their extremely depressed real components, point to weaker growth ahead. After all, many observers argue…
Highlights In this report, we initiate coverage of the EU Emission Trading System’s (ETS) CO2 allowances. We expect this policy-driven cap-and-trade market to become central to the market-driven pricing mechanism for CO2 fundamentals. Futures on EU CO2 emissions allowances will resume their rally – and surpass the €30 level seen in July 2019 – as ETS allowances supplies tighten in September. Global CO2 emissions are projected to fall 8% this year – 2.6 billion MT (2.6 gigatonnes, or Gt) – as a result of the COVID-19 pandemic, based on IEA modeling. If realized, this would be up to six times the decline in CO2 emissions following the Global Financial Crisis (GFC). The speed at which actual CO2 emissions return to pre-COVID-19 levels will be a function of how quickly global growth recovers, and the intensity of “green” investments. Post-COVID-19, the rebound in emissions could be sharply higher, as has been the case with previous global downturns. Following the GFC, CO2 emissions recovered all of the year-on-year (y/y) decline in 2009 by 2010 (Chart of the Week). As with any COVID-19-related projection, uncertainty – to the upside and downside – dominates our outlook. Chart of the WeekCOVID-19 Crushes Global CO2 Emissions Feature The EU’s CO2 emissions market is designed to achieve policy goals – i.e., reducing the carbon footprint of utilities and manufacturers in Europe. As tempting as it may be to view the surge in EU CO2 emission allowances futures as a harbinger of a powerful recovery in European economic growth, such hopes would be misplaced (Chart 2).1 The sharp rally in part reflects the expected decrease in the volume of CO2 emission allowances that will be available for trading over the September 2020 – August 2021 period. In line with its policy mandates, the ETS reduced this volume by 0.33 Gt following a May 2020 meeting, bringing the total volume available for trade in the year beginning in September to ~ 1.32 Gt.2 The EU’s CO2 emissions market is designed to achieve policy goals – i.e., reducing the carbon footprint of utilities and manufacturers in Europe – vs. pricing those emissions purely as a function of supply-demand fundamentals. Chart 2CO2 Allowances Rally Reflects Anticipated Supply Squeeze CO2 Emissions As is the case with industrial commodities – particularly oil, base metals, iron ore and steel – non-OECD markets dominate CO2 emissions. CO2 is the largest greenhouse gas (GHG) emitted into the atmosphere, and the largest share – almost two-thirds – of it is accounted for by fossil fuel use in industrial and transportation processes (Chart 3). CO2 emissions are closely tied to oil consumption. In non-OECD economies, this means they are closely tied to GDP, as the income elasticity of oil consumption for EM economies is ~ 0.65, meaning a 1% increase in income translates to a 0.65% increase in oil demand. In DM, transportation and electric generation drive hydrocarbon usage. In non-OECD and OECD markets, we model emissions as a function of oil consumption and financial variables (Chart 4). Chart 3Fossil-Fuel CO2 Dominates GHG Emissions It comes as no surprise that commodity prices generally are highly correlated with CO2 emissions, given the markets in which they trade are continually responding to supply-demand shifts in industrial and consumer markets. This can be seen in our Global Commodity Factor, which extracts the common factor across 28 real commodity prices (Chart 5). Chart 4CO2 Emissions Trend With GDP, Oil Consumption As is the case with industrial commodities – particularly oil, base metals, iron ore and steel – non-OECD markets dominate CO2 emissions (Chart 6). Chart 5CO2, Commodity Prices Closely Aligned Chart 6Non-OECD Economies Dominate CO2 Emissions Within this category, China accounts for ~ 45% of non-OECD CO2 emissions post-GFC, and close to 28% of global emissions, according to BP’s 2020 Statistical Review.3 China’s heavy reliance on coal-fired power generation and heating drive its CO2 emissions (Chart 7, top panel). Asia as a whole accounts for ~ 19 Gt of CO2 emissions, or 53% of the global total, while the US and Europe account for 18% and 17%, respectively.4 US CO2 emissions are driven by electric generation and transport, as the bottom panel of Chart 7 shows. Chart 7Electric Generation And Heating Drive China’s CO2 Emissions EU CO2 Emission Allowances The ETS also will force the overall number of emission allowances to contract at a 2.2% rate p.a. beginning next year. In the 21st century, ICE EUA futures prices have not followed actual EU CO2 emissions (Chart 8). This is not unexpected, given this market largely is a policy-driven market, not a fundamentally driven market. The ETS runs a cap-and-trade system covering ~ 45% of the EU’s GHG emissions, which limits emissions by more than 11,000 power stations, industrial plants and other heavy energy-use applications. Until 2019, the ETS adjusted supplies of emissions allowances by literally removing surpluses from the market resulting from overallocations of supplies via its free allocations and auctions. Thereafter, the ETS Market Stability Reserve (MSR), began absorbing unallocated emissions allowances to keep prices from falling to the point that investment in CO2 abatement would be disincentivized.5 Chart 8Two Ships In The Night: EU CO2 Emissions and EUA Futures As ETS system surplus allocations are reduced, we expect this market will more closely reflect the actual supply and demand for CO2 allowances. The ETS also will force the overall number of emission allowances to contract at a 2.2% rate p.a. beginning next year, versus the 1.74% p.a. contraction observed over the 2013-2020 period, in order, it says, to keep the GHG emissions falling to policy levels set for 2030. Even with its flaws vis-à-vis a true commodity market driven by supply-demand fundamentals, the ETS’s CO2 emissions allowances market is extremely important as a source of information regarding the state of the world. Last year, Reuters’s Refinitiv service estimated that of the $164 billion worth of CO2 emissions traded globally 90% was accounted for by the European market.6 As ETS system surplus allocations are reduced, we expect this market will more closely reflect the actual supply and demand for CO2 allowances. This will allow it to generate a market-clearing price for emissions allowances, which will be a valuable data point for global markets, especially when it comes to allocating capital to reducing GHG emissions. The ETS is retaining the right to issue free allocations, so that participants in the system are not disadvantaged by other jurisdictions not subject to the stringent requirements imposed by the ETS. Bottom Line: The ETS’s CO2 emission allowances will resume the rally launched in March 2020, as the supply of allowances contracts beginning in September. We are not ready to recommend any positions in this market, but will continue to follow and write about it going forward, expecting it will become not only a viable market but an important source of information of the market-clearing price of CO2 emissions. Robert P. Ryan Chief Commodity & Energy Strategist rryan@bcaresearch.com Hugo Bélanger Associate Editor Commodity & Energy Strategy HugoB@bcaresearch.com Fernando Crupi Research Associate Commodity & Energy Strategy FernandoC@bcaresearch.com Commodities Round-Up Energy: Overweight Brent and WTI prices have been moving side-ways since June at ~ $41/bbl and $39/bbl, respectively. Fundamentals are tightening but fear of a second wave of COVID-19 infections weighs on prices. Bakken shale-oil producers could struggle to restart drilling and production activities after a court ordered the closure of the basin’s crucial Dakota Access pipeline – responsible for moving ~ 600k b/d – due to insufficient environmental checks. As previously shut-in production comes back on line, regional prices could remain under pressure to incentivize additional crude-by-rail volumes – at close to double the transportation costs – out of the basin, keeping prices below producers’ breakevens (Chart 9). Base Metals: Neutral Copper prices continue moving up as economic activity in China recovers (Chart 10). Prices are now 32% higher vs. March lows. Large metal-producing countries in Latin America have been hit hard by the COVID-19 pandemic. This puts supply at risk and could have lasting impacts as needed investment in new mines is delayed. In fact, Codelco announced it is suspending construction at its El Teniente mine in Chile due to rising COVID-19 cases in the region. Copper could enter a persistent supply-deficit period if demand remains in its upward trend. Precious Metals: Neutral Gold prices crossed $1,800/oz on Tuesday, reaching their highest level since 2011. The yellow metal’s rally continues to be fueled by record Western investment demand. ETFs inflows in June reached 104 tons, pushing gold-backed ETF volumes and AUM to new highs. Globally, ETF holdings’ tonnage increased by 25% ytd. This more than offsets the collapse in physical demand from China and India. Going forward, we expect a lower US dollar will support income growth in EM countries, providing additional demand for gold. Ags/Softs: Underweight The latest USDA Acreage report surprised the market, with corn producers planting 5 million less acres than their intentions in March. This large decline caused corn futures to rally to 3-month highs. Since then, the market has focused on adverse weather, hoping dryness in major corn producing areas would reduce corn yields. However, that didn’t materialize. Forecasts are showing less intense heat in the Midwest crop belt and futures are losing some ground compared to recent highs. The market is now awaiting Friday’s USDA Supply and Demand report. With exports on pace to come in slightly below the USDA estimate for the year and a much-reduced planting area, we expect corn ending stocks to be well below the June estimate of 3.32 Bn bushels. Chart 9Bakken Crude Prices Are Falling Vs WTI Chart 10China's Economic Growth Supports Copper Prices Footnotes 1 These futures are the EUA contracts for delivery of Carbon Emission Allowances at the Union Registry, which was set up to account “for all allowances issued under the EU emissions trading system (EU ETS).” Contracts for delivery of these allowances are traded on ICE Futures Europe’s platform. 2 Please see ETS Market Stability Reserve to reduce auction volume by over 330 million allowances between September 2020 and August 2021 published by the European Commission May 8, 2020. 3 Please see bp Statistical Review of World Energy 2020: a pivotal moment published June 17, 2020. 4 Please see CO2 and Greenhouse Gas Emissions published by Our World in Data, a collaboration between researchers at the University of Oxford, and the non-profit organization Global Change Data Lab, in December 2019. 5 Surpluses have been a feature of the market since 2009. Please see Market Stability Reserve published by the European Commission. 6 Please see Value of global CO2 markets hit record 144 billion euros in 2018: report published January 16, 2019 by reuters.com. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Trade Recommendation Performance In 2020 Q1 Commodity Prices and Plays Reference Table Trades Closed In 2020 Summary of Closed Trades
BCA Research's Commodity & Energy Strategy service has initiated coverage of the EU Emission Trading System’s (ETS) CO2 allowances. They expect this policy-driven cap-and-trade market to become central to the market-driven pricing mechanism for CO2…
BCA Research's European Investment Strategy service's fractal trading model has given them a sell signal on the stock-to-bond ratio. Since 2015, a collapsed 65-day fractal structure of the German stock-to-bond ratio has reliably presaged a change in trend,…
Please note that I will be hosting a webcast on Friday July 17 and that the webcast will replace next week’s report. Highlights Go tactically short stocks versus bonds. But express it as short DAX versus the US 10-year T-bond, given the greater scope for compression in US bond yields than in German bond yields. Target a profit of 10 percent but apply a stop-loss if stock versus bond outperformance continues for another 10 percent. There is now a strong incentive for short-term investing and a strong disincentive for long-term investing, forcing formerly long-term investors to think and behave like traders. Don’t obsess with the Covid-19 mortality rate. Focus instead on the morbidity, or hospitalization, rate. Covid-19 is unlikely to kill you, but it can make you ill and, in some unlucky cases, permanently ill. Feature Chart of the WeekA Sell Signal For Stocks To Bonds Financial markets have reached an absurdity. It is now more rewarding to be a short-term trader who holds investments for just three months than it is to be a long-term investor who buys and holds them for ten years. And just to be clear, we are comparing cumulative returns over the entire holding period of three months versus one that is forty times longer at ten years. The case for buying and holding most mainstream investments has collapsed. Investors seeking attractive long-term returns can no longer rely on mainstream bond and stock markets. Nowadays, the long-term investment story is about sectors and themes, and we will continue to tell this story in our regular reports. However, this week we will focus on the implications of short-termism in the mainstream markets. Short-Term Returns Now Beat Long-Term Returns Through the past year, anybody who has bought the German 10-year bund, with the intention of holding it until it redeems in 2029 is guaranteed a deeply negative return. Yet there have been many three-month periods in which the bund has generated a high single-digit return (Chart I-2). Chart I-23-Month Returns Now Beat 10-Year Returns! Likewise, anybody who owns the US 10-year T-bond has made almost as much money in the first three months of this year as they mathematically can by holding it for ten years! By extension, the same principle also applies to mainstream stock markets which are priced for feeble long-term returns – yet can rally by 20-30 percent in the space of a few weeks. It is now more rewarding to be a short-term trader who holds investments for three months than it is to be a long-term investor who buys and holds them for ten years. Admittedly, these are nominal returns, and the long-term real returns could be boosted by deflation. Nevertheless, the economy would have to experience Great Depression levels of deflation to make the long-term real returns genuinely attractive. Yet it wasn’t always like this. Until recent years, the cumulative returns available from long-term investing were many multiples of those available from short-term investing – as they should be (Chart I-3 and Chart I-4). But today, the incentive structure is back-to-front. There is a strong disincentive for long-term investing and a strong incentive for short-term investing, forcing formerly long-term investors to think and behave like traders. Albeit traders that must get their timing right. Chart I-3Today, There Is A Strong Disincentive For Long-Term Investing... Chart I-4...And A Strong Incentive For Short-Term Investing Unfortunately, when everybody behaves like traders there are worrying implications for financial market liquidity and stability. Short-Termism Destroys Market Liquidity We have been brought up to believe that agreement and consensus create peace and harmony, whereas disagreement and opposition create conflict and discord. Hence, it is natural to think that agreement and consensus also create calm and stability in the financial markets. Yet nothing could be further from the truth. A calm and stable market requires disagreement. Disagreement is the source of market liquidity and stability. Meaning, the ability to convert stocks into cash, or cash into stocks, quickly and in volume without destabilising the stock price. For an investor to convert a large amount of stocks into cash without destabilising the price, a mirror-image investor must be willing to take the opposite position. It follows that market liquidity comes from a disagreement about the attractiveness of the investment at a given price. As an aside, we often read comments such as ‘investors are moving out of stocks into cash’, or vice-versa. Such comments are nonsensical. If one investor is selling stocks, then a mirror-image investor must be buying stocks. The stocks cannot just vanish into thin air! A market which loses its variation of investment horizons loses its liquidity and stability. If institutional investors are selling, then a mirror-image investor must be buying. The mirror-image buyer could be less savvy retail investors, in which case we might interpret the institutional selling as a sell signal. Or the mirror-image buyer could be ‘smart money’ hedge funds, in which case we might interpret the institutional selling as a buy signal. It follows that unless we know the identity of both the seller and the buyer, the ‘flows’ information is useless. The much more useful information is the variation of investment horizons in the market. This is because a market which possesses a variation of investment horizons also possesses the disagreement required for liquidity and stability. Conversely, a market which lacks this variation of investment horizons could soon run out of liquidity and undergo a change in trend. Investors with different time horizons disagree about the attractiveness of an investment at a given price because they interpret the same facts and information differently. For example, a day-trader will interpret an outsized rally as a ‘momentum’ buy signal, whereas a value investor will interpret the same information as a ‘loss of value’ sell signal. Therefore, the market possesses liquidity and stability when its participants possess a variation of investment horizons. For example, both a 1-day horizon and a 3-month (65 business days) horizon. The corollary is that the market’s liquidity and stability disappear when its participants no longer possess this healthy variation in horizons. In technical terms, this occurs when the market’s fractal structure collapses. In the above example, it would be signalled by the 65-day fractal dimension collapsing to its lower limit (Chart I-5). Chart I-5The Stock-To-Bond Fractal Structure Has Collapsed All of which brings us to our tactical stock-to-bond sell signal. A Sell Signal For Stocks To Bonds Since 2015, a collapsed 65-day fractal structure of the German stock-to-bond ratio has reliably presaged a change in trend, implying either a sell or buy signal based on the direction of the preceding trend. The two most recent occurrences happened this year on January 2, a sell signal, and March 9, a buy signal (Chart of the Week). A collapsed 65-day fractal structure of the German stock-to-bond ratio has reliably presaged a change in trend. The 65-day fractal structure of the German stock-to-bond ratio has collapsed once again, reinforced by a similar observation in the US stock-to-bond ratio. This suggests that the recent 40 percent rally in stocks versus bonds is approaching exhaustion and is susceptible to a tactical reversal (Chart I-6). Chart I-6The 40 Percent Rally In Stocks Versus Bonds May Be Near Exhaustion Hence, go tactically short stocks versus bonds. But express it as short DAX versus the US 10-year T-bond, given the greater scope for compression in US bond yields than in German bond yields. Target a profit of 10 percent but apply a stop-loss if the outperformance continues for another 10 percent. One caveat is that bullish fundamentals can swamp fragile fractal structures. Hence, the strong outperformance of stocks versus bonds would persist if, for example, a breakthrough treatment or vaccine suddenly emerged for Covid-19. On the other hand, it is worth noting that US hospitalizations for the disease are rising once again, even if deaths, so far, are not (Chart I-7). Nevertheless, we reiterate that the Covid-19 morbidity (severe illness) rate is much more important than the mortality rate, for two reasons. Chart I-7US Hospitalizations For Covid-19 Are Rising Again First, it is morbidity rather than mortality that swamps the finite and limited intensive care unit (ICU) capacity in healthcare systems. Second, the evidence now suggests that many recovered Covid-19 victims suffer long-term damage to their lungs and/or other vital organs such as kidneys, the liver, and the brain. This is the case even for apparently mild cases of the disease that do not require hospitalization. Therefore, don’t obsess with the Covid-19 mortality rate. Focus instead on the morbidity, or hospitalization, rate. The threat from Covid-19 is not that it will kill you. It almost certainly won’t. The threat is that it will make you ill and, in some unlucky cases, permanently ill. Fractal Trading System* As discussed, this weeks recommended trade is short DAX versus 10-year T-bond, setting a profit target and symmetrical stop-loss at 10 percent. Chart I-8GBP/RUB In other trades, long GBP/RUB is within a whisker of its 3 percent profit target. The rolling 1-year win ratio now stands at 59 percent When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. * For more details please see the European Investment Strategy Special Report “Fractals, Liquidity & A Trading Model,” dated December 11, 2014, available at eis.bcaresearch.com. Dhaval Joshi Chief European Investment Strategist dhaval@bcaresearch.com Fractal Trading System Cyclical Recommendations Structural Recommendations Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations
BCA Research's Foreign Exchange Strategy service's intermediate-term model shows that the Swedish krona is now quite cheap. As such, it is one of their favorite longs. Meanwhile, since the Fed extended its USD swap lines, SEK has lagged the bounce in AUD,…
Highlights Butterflies & Yield Curve Models: With bond market volatility now back to the subdued levels seen prior to the COVID-19 market turbulence earlier in 2020, it is a good time to update our global yield curve valuation models to look for attractive butterfly trade ideas. Valuations: The models generally indicate that flattener trades offer better value across all countries. Our medium-term strategic bias, however, is towards steeper yield curves with policy rates on hold and depressed global inflation expectations likely to continue drifting higher over the latter half of the year. Yield Curve Trades: We are initiating the first set of yield curve trades within our rebooted Tactical Trade Overlay: going long a 7-year bullet vs. a 5-year/10-year barbell in the US; long a 2-year/30-year barbell vs. a 5-year bullet in France; long a 5-year/30-year barbell vs. a 10-year bullet in Italy; and long a 3-year/20-year barbell vs. a 10-year bullet in the UK. Feature In a Special Report published back in February of this year, we dusted off our model-based framework to find value in trades focused on the shape of government bond yield curves.1 By comparing the market-implied short-term interest rate expectations extracted from our curve models to our own macro views, we are able to come up with actionable buy or sell signals across the yield curve in nine developed markets: the US, Germany, France, Italy, Spain, the UK, Japan, Canada, and Australia. Table 1Most Attractive Butterfly Trades Given the extreme market turbulence around the time we published that report, as the full scope of the COVID-19 pandemic was becoming evident, we chose not to recommend any curve trades from our models until global volatility subsided to acceptable levels. The vigorous action from central banks to manipulate bond yields since then - quantitative easing, aggressive forward guidance, outright yield curve control in Japan and Australia, and other unconventional monetary policy measures - introduced another layer of difficulty in implementing successful curve trades using models estimated in more normal times. With global bond market volatility now back down to pre-COVID levels, we feel that the time is right to use our curve models to help identify opportunities. Specifically, we are implementing new recommended yield curve trades in the US, France, Italy, and the UK. Table 1 shows the most attractive butterfly trades across all the markets covered in this analysis. Note that three of the four trades we are initiating include very long-dated bonds where yields are less susceptible to direct central bank influence. The only exception is our US long 7-year bullet vs. 5-year/10-year barbell trade, the reasoning for which we outline later in this report. Three of the four trades we are initiating include very long-dated bonds where yields are less susceptible to direct central bank influence. The only exception is our US long 7-year bullet vs. 5-year/10-year barbell trade. Before delving into our analysis proper, a quick note: in the interest of brevity, we will limit ourselves to a simple explanation of butterfly strategies and our yield curve models in this report. For those interested in a deeper explanation of the curve modeling framework, please refer to our February 25, 2020 Special Report. A Recap On Butterflies And An Update On Our Yield Curve Models A butterfly fixed income strategy involves two main components: a barbell (a weighted combination of long-term and short-term bonds) and a bullet (a medium-term bond that sits within the yield curve segment selected in the barbell). To implement a butterfly strategy, a bond investor would go long (short) the barbell while simultaneously going short (long) the bullet. By weighting the combination of the long- and short-term bonds in the butterfly such that the weighted sum of their duration equals the duration of the medium-term bond in the bullet, we achieve immunization to parallel shifts in the yield curve. At the same time, due to the relatively higher duration of the longer-term component of the butterfly, we get exposure to specific changes in the slope of the yield curve. In general, the barbell will outperform the bullet in a flattening yield curve environment, and vice-versa. Chart of the WeekButterfly Spreads & Yield Curves To actually decide how, and on which parts of the yield curve, to implement our butterfly strategies, we make use of our yield curve models. These models rely on the positive relationship typically observed between the butterfly spread and the slope of the yield curve. When the curve steepens, the butterfly spread widens, and vice-versa (Chart of the Week). This has to do with mean reversion: as the curve steepens, it increases the odds that the curve will flatten in the future since it cannot steepen indefinitely. Consequently, investors will ask for greater compensation to enter a curve steepener trade when the curve is already steepening. As a result, we can create simplified models of the yield curve by regressing any butterfly spread on its corresponding curve slope. Deviations from these fair value models indicate which butterfly strategies are cheap or expensive. However, the model output does not by itself constitute a buy or sell signal and must be integrated with our macro view on the slope of the curve. For example, a butterfly strategy with an expensive bullet implies that there is already a certain amount of steepening discounted in the yield curve. If the yield curve flattens, or even steepens by an amount smaller than what is discounted in the yield curve over the investment horizon, the barbell will outperform, as expected. However, if we see more steepening than is discounted in the yield curve, the bullet will outperform, even though it was already at relatively expensive levels. Therefore, it is crucial to integrate our macro view on how much the curve will steepen or flatten over the investment horizon into our curve trade selection framework. In recent reports, we have emphasized our high-conviction view that global inflation expectations will drift higher in the coming months, driven by reflationary fiscal and monetary policy and a continued rebound in global commodity prices (most notably, oil).2 However, a rise in inflation expectations does not necessarily translate to a “one-to-one” rise in nominal yields if it is offset by a compression in real bond yields. To disentangle this, we look at the 3-year rolling betas of nominal 10-year government bond yields to the corresponding 10-year breakeven inflation rates using inflation-linked bonds (Chart 2). The data suggest a currently weaker relationship between inflation expectations and nominal yields, with all betas well below their post-crisis maxima. Our overall macro bias is towards a global steepening in yield curves, but given our strong belief in a rebound in inflation expectations, we would be more willing to enter steepener trades in higher-beta regions such as Germany, Canada, the US, and Australia where it is more likely that a rise in inflation expectations will translate to higher nominal yields. Conversely, we are less hesitant to enter flatteners in the lower-beta regions such as the UK, France, Italy, and Japan. Chart 2The Link Between Nominal Yields And Inflation Expectations Has Weakened When we said earlier this year that we were “dusting off” our yield curve models, that was not just a figure of speech. The models date back originally to 2002, meaning that they are old enough to vote—perhaps even for a popular rapper. Even though we have been refining and updating it along the way, one of our concerns was that this model was estimated for a pre-crisis sample period before near-zero rates became ubiquitous in developed markets. Our overall macro bias is towards a global steepening in yield curves, but given our strong belief in a rebound in inflation expectations, we would be more willing to enter steepener trades in higher-beta regions such as Germany, Canada, the US, and Australia. To test that the curve relationships within our models are maintained when global central banks are pinning policy rates near 0%, we have re-estimated all the regressions for the post-financial crisis period from 2009 to 2017 when most central banks kept rates near the zero bound. Chart 3 shows the results for the representative 2-year, 5-year and 10-year portions of the yield curve. On the whole, the coefficients are weaker but still positive with the exception of Japan, where many years of zero rates and quantitative easing have caused the 2-year/5-year/10-year butterfly spread to become largely unmoored from the 2-year/10-year slope. Chart 3Looking For Structural Shifts In Our Yield Curve Models Therefore, we still see value in our curve modeling approach, even in the current environment where central banks are likely to be on hold for a period measured in years, not months. Bottom Line: Butterfly strategies are an effective way to position for changes in the slope of the yield curve without exposure to shifts in the curve. Our current strategic bias is to expect steepening of developed market yield curves through rising longer-term inflation expectations, but our global yield curve models indicate better value in most flattening trades. Thus, we need to be extremely selective in recommending trades based on the results of our yield curve models. Yield Curve Models And Trades By Region In the remaining pages of this report, we present the current read-outs from of our yield curve models for each of the major developed markets. More specifically, we provide the deviations from fair value for different combinations of bullets and barbells and highlight the most attractive butterfly strategy. The deviations from fair value shown in Tables 2-10 are standardized to facilitate comparisons between the different butterfly combinations. In addition, for each country we provide a quick assessment of the performance of these butterfly strategies over time by applying a simple mechanical trading rule. Every month, we enter the most attractive butterfly strategy, i.e. the one with the highest absolute standardized deviation from its model fair value. The overall message from the models is that barbells appear attractive relative to bullets across all the countries shown. However, we will only initiate trades in cases where the model output and our macro outlook complement each other. US Looking solely at our model output, US Treasury curve flatteners appear most attractive, with the long 3-year/30-year barbell vs. 5-year bullet trade displaying the greatest deviation from fair value with a residual of -1.55 (Table 2). However, we are inclined to agree with our colleagues at BCA Research US Bond Strategy on how to interpret Treasury curve valuation in the current environment. They argue that even though steepeners in the US are currently expensive, valuations can become even more overstretched with the Fed signaling no rate increases for at least the next two years and the market priced for an extended period of near-zero rates.3 Table 2US: Butterfly Strategy Valuation: Standardized Residuals Our fundamental bias is towards US Treasury curve steepening, with the Fed locking down the front end of the curve and rising inflation expectations putting upward pressure on longer-term yields. Thus, we are entering into the long 7-year bullet vs. 5/10 barbell trade which has a small but positive model residual of +0.17. That represents a better valuation starting point than the other US butterfly spreads, and is therefore a more efficient and profitable way to position for steepeners becoming even more expensive going forward. As highlighted earlier, nominal yields in the US are also more sensitive to rising inflation expectations—another reason to enter into a curve steepener. The specific securities used to execute this trade, as well as the weights for the barbell component used to the make both legs of the trade duration-equivalent, can be found on Page 27 within our Tactical Trade Overlay table. Nominal yields in the US are also more sensitive to rising inflation expectations—another reason to enter into a curve steepener. The 7-year bullet appears just 1bp cheap according to our model and would only underperform its counterpart given a flattening in the 5-year/10-year Treasury slope greater than 22bps, which we believe is unlikely given the reasons outlined above (Chart 4A). Chart 4AUS 5/7/10 Spread Fair Value Model Chart 4BUS Butterfly Strategy Performance Following the mechanical trading rule has delivered steady returns with only a few periods of negative year-over-year returns (Chart 4B). Germany The most attractively valued butterfly combination on the German yield curve is going long the 1-year/30-year barbell and shorting the 5-year bullet, which is almost one standard deviation above its model-implied fair value, with a standardized residual of -0.97 (Table 3). Table 3Germany: Butterfly Strategy Valuation: Standardized Residuals The 5-year bullet appears 29bps expensive according to our model and would only outperform its counterpart given a steepening in the 1-year/30-year German curve slope greater than 50bps (Chart 5A). Chart 5AGermany 1/5/30 Spread Fair Value Model Chart 5BGermany Butterfly Strategy Performance Following the mechanical trading rule has been quite profitable, delivering consistently positive year-over-year returns for all but the initial period of our sample (Chart 5B). France The most attractively valued butterfly combination on the French OAT yield curve is going long the 2-year/30-year barbell and shorting the 5-year bullet (Table 4). This combination is a little less than one standard deviation over its model-implied fair value with a standardized residual of -0.84. Nominal yields in France are also relatively less correlated with inflation expectations, which makes this a prime candidate for a flattener trade. The specific securities used to execute this trade, as well as the weights for the barbell component used to the make both legs of the trade duration-equivalent, can be found on Page 27 within our Tactical Trade Overlay table. Table 4France: Butterfly Strategy Valuation: Standardized Residuals The 5-year bullet appears 21bps expensive according to our model and would only outperform its counterpart given a steepening in the 2-year/30-year French curve slope greater than 48bps (Chart 6A). Chart 6AFrance 2/5/30 Spread Fair Value Model Chart 6BFrance Butterfly Strategy Performance As with Germany, following the mechanical trading rule in the French OAT market has also been profitable, with only three periods of negative year-over-year returns in our sample period (Chart 6B). Italy And Spain In Italy, the most attractively valued butterfly combination is going long the 5-year/30-year barbell and shorting the 10-year bullet – a combination with a standardized residual of -0.79 (Table 5). In Spain, going long the 3-year/30-year barbell and short the 5-year bullet seems most attractive with a standardized residual of -0.83 (Table 6). Of the two peripheral euro area countries, we are choosing to put on a trade in the relatively larger and more liquid Italian government bond market. As with France, Italian nominal yields also display a relatively low beta to inflation breakevens. The specific securities used to execute this trade, as well as the weights for the barbell component used to the make both legs of the trade duration-equivalent, can be found on Page 27 within our Tactical Trade Overlay table. Table 5Italy: Butterfly Strategy Valuation: Standardized Residuals Table 6Spain: Butterfly Strategy Valuation: Standardized Residuals In Italy, the 10-year bullet appears 22bps expensive according to our model and would only outperform its counterpart given a steepening in the 5-year/30-year Italian curve slope greater than 153bps (Chart 7A). Following the mechanical trading rule in Italy has yielded strong excess returns, with only one very short period of negative year-over-year returns in our sample period (Chart 7B). As with Italy, following the mechanical trading rule in Spain has yielded some of the strongest excess returns on a cumulative and year-over-year basis. Chart 7AItaly 5/10/30 Spread Fair Value Model Chart 7BItaly Butterfly Strategy Performance In Spain, the 5-year bullet appears 14bps expensive according to our model and would only outperform its counterpart given a steepening in the 3-year/30-year Spanish curve slope greater than 47bps (Chart 8A). As with Italy, following the mechanical trading rule in Spain has yielded some of the strongest excess returns on a cumulative and year-over-year basis (Chart 8B). Chart 8ASpain 3/5/30 Spread Fair Value Model Chart 8BSpain Butterfly Strategy Performance UK On the UK Gilt yield curve, the most attractive butterfly combination is holding a 3-year/20-year barbell versus a 10-year bullet, which currently displays a standardized residual of -1.08 (Table 7). As with France and Italy, not only is this flattener trade attractively valued, the UK is also one of the countries where inflation breakevens are relatively less correlated with nominal yields, making this another excellent candidate for our Tactical Trade Overlay. The specific securities used to execute this trade, as well as the weights for the barbell component used to the make both legs of the trade duration-equivalent, can be found on Page 27. Table 7UK: Butterfly Strategy Valuation: Standardized Residuals The 10-year bullet appears 13bps expensive according to our model and would only outperform its counterpart given a steepening in the 3-year/20-year Gilt curve slope greater than 52bps (Chart 9A). Chart 9AUK 3/10/20 Spread Fair Value Model Chart 9BUK Butterfly Strategy Performance Following the mechanical trading rule in the UK has produced consistent returns on a year-over-year basis (Chart 9B). Canada The most attractively valued butterfly combination on the Canadian yield curve is favoring the 5-year/30-year barbell versus the 7-year bullet, which currently displays a standardized residual of -1.41 (Table 8). Table 8Canada: Butterfly Strategy Valuation: Standardized Residuals The 7-year bullet appears 7bps expensive according to our model and would only outperform its counterpart given a steepening in the 5-year/30-year Canadian curve slope greater than 42bps (Chart 10A). Chart 10ACanada 5/7/30 Spread Fair Value Model Chart 10BCanada Butterfly Strategy Performance Following the mechanical trading rule in Canada has historically been a good strategy, but we do note two periods of minor losses in 2013 and 2019 (Chart 10B). Japan The most attractively valued butterfly combination on the JGB yield curve is the 5-year/20-year barbell versus the 7-year bullet, which currently has a standardized residual of -1.03 (Table 9). As we noted earlier, however, valuations in the JGB market are likely distorted due to the Bank of Japan’s long-running programs of quantitative easing, zero policy rates and Yield Curve Control that aims to keep the 10-year JGB yield around 0%. Table 9Japan: Butterfly Strategy Valuation: Standardized Residuals The 7-year bullet appears 6bps expensive according to our model and would only outperform its counterpart given a steepening in the 5-year/20-year Japan curve slope greater than 23bps (Chart 11A). Following our mechanical trading rule has produced decent returns, especially given the dormant nature of the JGB market, with only a couple minor periods without positive year-over-year returns. Chart 11AJapan 5/7/20 Spread Fair Value Model Chart 11BJapan Butterfly Strategy Performance Following our mechanical trading rule has produced decent returns, especially given the dormant nature of the JGB market, with only a couple minor periods without positive year-over-year returns (Chart 11B). Australia The most attractively valued butterfly combination on the Australian yield curve is going long the 2-year/10-year barbell versus the 7-year bullet, displaying a standardized residual of -1.73 (Table 10). Table 10Australia: Butterfly Strategy Valuation: Standardized Residuals The 7-year bullet appears 15bps expensive according to our model and would only outperform its counterpart given a steepening in the 2-year/10-year Australian curve slope greater than 101bps (Chart 12A). Chart 12AAustralia 2/7/10 Spread Fair Value Model Chart 12BAustralia Butterfly Strategy Performance Compared to the other markets in our analysis, following the mechanical trading rule in Australia has not produced stellar returns (Chart 12B). However, excess returns on a year-over-year basis have been positive barring two periods. Shakti Sharma Research Associate ShaktiS@bcaresearch.com Footnotes 1 Please see BCA Research Global Fixed Income Strategy Special Report, "Global Yield Curve Trades: Follow The Butterflies", dated February 25, 2020, available at gfis.bcaresearch.com. 2 Please see BCA Research Global Fixed Income Strategy Weekly Report, "How To Play The Revival Of Global Inflation Expectations", dated June 23, 2020, available at gfis.bcaresearch.com. 3 Please see BCA Research US Bond Strategy Weekly Report, "Take A Look At High-Yield Technology Bonds", dated June 23, 2020, available at usbs.bcaresearch.com. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns
Highlights Our intermediate-term timing models suggest the US dollar is broadly overvalued. We are maintaining a modest procyclical currency stance (long NOK, GBP and SEK), but also have a portfolio hedge (short USD/JPY). Go long a basket of petrocurrencies versus the euro. Stay short the gold/silver ratio. Feature Our fundamental intermediate-term timing models (FITM) are one of the toolkits we use in currency management. These simple models enable us to time shifts in developed-market currencies using two key variables. Real Interest Rate Differentials: G10 currencies tend to move with their real rate differentials. Under interest rate parity, if one country is expected to have high interest rates versus another, its currency will rise today so as to gradually depreciate in the future and nullify the interest rate advantage. Risk factor: The ebb and flow of risk aversion affects the path of currencies, as it does their domestic capital markets. Procyclical currencies tend to perform better during risk-on periods. We use high-yield spreads and/or commodity prices as a gauge for risk. For all countries, the variables are highly statistically significant and of the expected signs. These models help us understand in which direction fundamentals are pushing the currencies we look at. These models are more useful as timing indicators on a three-to-nine month basis, as their error terms revert to zero quickly. For the most part, our models have worked like a charm. On a risk adjusted-return basis, a dynamic hedging strategy based on our models has outperformed all static hedging strategies for all investors with six different home currencies since 2001.1 The US Dollar Chart I-1USD Is Overvalued By 4.4% The dollar is a sell, according to the model, with a fair value that is falling much faster than the DXY index itself. Going forward, the Federal Reserve’s dovish stance should keep real interest rate differentials moving against the dollar. This will especially be the case if the authorities move to some form of yield curve control. The wildcard is how risk aversion gyrates as we navigate the volatile summer months, especially given rising geopolitical tensions and the potential for an equity market correction (Chart I-1). One of the factors holding up the dollar is that US domestic growth has been relatively strong, with the Citigroup economic surprise index at the highest level since the inception of the series. For the dollar to decline meaningfully, these positive surprises will need to be repeated abroad. On the data front this week, pending home sales rose 44.3% month-on-month in May, following a 21.8% decline the previous month. House prices are rebounding, to the tune of 4%. The ISM manufacturing index broke out to 52.6 in June from 43.1 the prior month. Job gains for the month of June came in at 4.8 million versus expectations of 3.23 million, pushing the unemployment rate down to 11.1%. These strong numbers provide a high hurdle that non-US growth will need to overcome in order for dollar weakness to continue. The Euro Chart I-2EUR/USD Is Undervalued By 3.8% The euro is not excessively undervalued versus the US dollar (Chart I-2). Usually, strong buy signals for the euro have been triggered at a discount of about 10% or so relative to the greenback. That said, the euro can still bounce towards 1.16, or about 3%-4% higher, to bring it back to fair value. The biggest catalyst for the euro remains that interest rate differentials with the US are quite wide and can continue to mean revert. The Treasury-bund spread peaked at 2.8%, and has since lost around 1.7%. Yet, a gap of 100 basis points remains wide by historical standards. On the data front, the CPI numbers from the euro area this week were quite instructive. German inflation came in at +0.8% versus a decline of -0.3% in Spain. In a general sense, inflation in Germany has been outperforming that in the periphery for a few months now, which is a sea-change from the historical trend in eurozone inflation, where both the core and periphery have seen CPI tied at the hip. If rising competitiveness in the periphery is a key driver, then the fair value of the Spanish “peseta” is rapidly catching up to that of the German “Deutsche mark,” which is positive for the euro. The Yen Chart I-3USD/JPY Is Overvalued By 10.3% The yen’s fair value has benefited tremendously from the plunge in global bond yields, making rock-bottom Japanese rates relatively attractive from a momentum standpoint (Chart I-3). This has pushed the yen to undervalued levels, supporting our tactically short USD/JPY position. The data out of Japan this week suggest that deflationary forces remain quite strong, which will continue to boost real rates and support the yen. The jobs-to-applicants ratio, a key barometer of labor market health, plunged to 1.20 in May from a cycle high of 1.63. Industrial production fell 25.9% year-on-year in May, the worst since the financial crisis. Meanwhile, the second quarter all-important Tankan survey suggests small businesses will continue to bear the brunt of the economic slowdown. With most of the increase in the Bank of Japan’s balance sheet coming from USD swaps with the Fed rather than asset purchases, it suggests little ammunition or appetite for more stimulus. Fiscal policy remains the wild card that could help lift domestic demand. The British Pound Chart I-4GBP/USD Is Undervalued By 5.9% Our model shows the pound as only slightly undervalued, putting our long cable position at risk. The drop in UK real rates since the Brexit referendum has prevented our model from flagging the pound as being much cheaper. Given the potential for added volatility this summer, we are looking to book modest profits on long cable (Chart I-4). Data out of the UK remains grim. Mortgage approvals fell to 9.3K in May, well below expectations. Consumer credit is falling much faster than during the depths of the financial crisis, suggesting all the BoE’s liquidity measures are still not filtering down to certain pockets of the economy. Meanwhile, the trend in the trade balance suggests that the pound has not yet started to reflate the economy. The Canadian Dollar Chart I-5USD/CAD Is Overvalued By 8.1% The Canadian dollar is undervalued by about 8% (Chart I-5). Going forward, movements in the Canadian dollar will be largely dictated by interest rate differentials and crude oil prices, which remain supportive for now. We are going long a petrocurrency basket today, one that includes the Canadian dollar. Canadian data have been slowly improving, with housing starts up 20.2% month-on-month in May and existing home sales up 56.9% month-on-month. House prices have also remained resilient. More importantly, foreign investors have used the plunge in oil prices to deploy some fresh capital into Canadian assets. International security transactions in April stood at C$49 billion, the highest on record, and will likely continue to improve as oil prices recover. The Swiss Franc Chart I-6USD/CHF Is Undervalued By 20.6% Our models suggest the Swiss franc is tactically at risk (Chart I-6). The main reason is that the franc has remained strong, despite the pickup in risk sentiment since March. Even if strength in the franc is sniffing market turbulence ahead, the yen remains a better and cheaper hedge. The Swiss National Bank continues to intervene in the foreign exchange market, but this week’s data shows that growth in sight deposits is rolling over. This is happening at a time when the economy remains weak. The June PMI came in at 41.9, well below expectations. Deflation has returned to Switzerland, with the CPI print for June at -1.3%, in line with the May number. While this is boosting real rates, the strength in the franc is an unnecessary headache for the SNB, especially against the euro. The Australian Dollar Chart I-7AUD/USD Is Undervalued By 7.3% Despite the 20% rally in the Aussie dollar since March, it still remains 7%-8% cheap, according to our FITM (Chart I-7). Typical reflation indicators such as commodity prices and industrial share prices are showing nascent upturns. This suggests that so far, policy stimulus in China has been sufficient to lift commodity demand. Meanwhile, 10-year Aussie government bonds sport a positive spread vis-à-vis 10-year Treasurys. Recent data in Australia have been holding up. The private sector is slowly releveraging, the CBA manufacturing PMI went to 51.2 in June, and the trade balance continues to sport a healthy surplus, at A$8 billion for the month of May. Meanwhile, LNG is a long-term winner from China’s shift away from coal and will continue to benefit Australian terms of trade. We are currently in an LNG glut due to Covid-19, but should electricity generation in China, Japan, and other Asean countries recover to pre-crisis peaks, this will ease the glut. The New Zealand Dollar Chart I-8NZD/USD Is Overvalued By 4.9% Unlike the AUD, our FITM for the NZD is in expensive territory. This favors long positions in AUD/NZD (Chart I-8). The New Zealand economy will certainly benefit from having put Covid-19 mostly behind it. Both the ANZ business confidence and activity outlook indices continue to rebound strongly from their lows, with the final print for June released this week. However, the hit to tourism will still impact national income. Meanwhile, the adjustment to housing, especially given the ban to foreign purchases, will continue to constrain domestic spending, relative to its antipodean neighbor. In terms of trading, long CAD/NZD and AUD/NZD remain attractive positions. The Norwegian Krone Chart I-9USD/NOK Is Overvalued By 16.9% Our fundamental model for the Norwegian krone shows it as squarely undervalued. This favors long NOK positions, which we have implemented via multiple crosses in our bulletins (Chart I-9). The Norwegian economy remains closely tied to oil, and the negative oil print in April probably marked a structural bottom in prices. With inflation near the central bank’s target and our expectation for oil prices to grind higher, the Norwegian currency will likely fare better than a lot of its G10 peers. In terms of data, the unemployment rate ticked higher in April, but at 4.8%, it remains much lower than other developed economies. Our bet is that once the global economy stabilizes, the Norges Bank might find itself ahead of the pack, in any hiking cycle. The Swedish Krona Chart I-10USD/SEK Is Overvalued By 10.6% Like its Scandinavian counterpart, the Swedish krona is also quite cheap and is one of our favorite longs at the moment (Chart I-10). Meanwhile, since the Fed extended its USD swap lines, SEK has lagged the bounce in AUD, NZD, and NOK, suggesting some measure of catch up is due. The export-driven Swedish economy was hit hard by Covid-19, despite no widespread lockdowns being implemented. As such, the Riksbank expanded its QE program this week, boosting asset purchases from SEK 300 billion to SEK 500 billion, until June 2021. In September, it will start purchasing corporate bonds in addition to government, municipal, and mortgage bonds. While the repo rate was left unchanged at zero, interest rates on the standing loan facility were slashed 10 basis points and on weekly extraordinary loans by 20 basis points. These measures should provide sufficient liquidity to allow Sweden to recover as economies open up across the globe. Chester Ntonifor Foreign Exchange Strategist chestern@bcaresearch.com Footnotes 1 Please see Foreign Exchange Strategy / Global Asset Allocation Strategy Special Report titled, "Currency Hedging: Dynamic Or Static? – A Practical Guide For Global Equity Investors (Part II)", dated October 13, 2017. Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Limit Orders Closed Trades