Emerging Markets

Highlights China's high-profile jawboning draws attention to tightness in metals markets, and raises the odds the State Reserve Board (SRB) will release some of its massive copper and aluminum stockpiles in the near future. Over the medium- to long-term, the lack of major new greenfield capex raises red flags for the IEA's ambitious low-carbon pathway released last week, which foresees the need for a dramatic increase in renewable energy output and a halt in future oil and gas investment to achieve net-zero emissions by 2050. Copper demand is expected to exceed mined supply by 2028, according to an analysis by S&P, which, in line with our view, also sees refined-copper consumption exceeding production this year (Chart of the Week). A constitution re-write in Chile and elections in Peru threaten to usher in higher taxes and royalties on mining in these metals producers, placing future capex at risk. Chile's state-owned Codelco, the largest copper producer in the world, fears a bill to limit mining near glaciers could put as much as 40% of its copper production at risk. We remain bullish copper and look to get long on politically induced sell-offs as the USD weakens. Feature Politicians are inserting themselves in the metals markets' supply-demand evolutions to a greater degree than in the past, which is complicating the short- and medium-term analysis of prices. This adds to an already-difficult process of assessing markets, given the opacity of metals fundamentals – particularly inventories, which are notoriously difficult to assess. Chinese Communist Party (CCP) jawboning of market participants in iron ore, steel, copper and aluminum markets over the past two weeks has weakened prices, but, with the exception of steel rebar futures in Shanghai – down ~ 17% from recent highs, and now trading at ~ 4911 RMB/MT –  the other markets remain close to records.  Benchmark 62% Fe iron ore at the port of Tianjin was trading ~ 4% lower at $211/MT, while copper and aluminum were trading ~ 5.5% and 6.5% off their recent records at $4.535/lb and $2,350/MT, respectively. In addition to copper, aluminum markets are particularly tight (Chart 2). Jawboning aside, if fundamentals continue to keep prices elevated – or if we see a new leg up – China's high-profile jawboning could presage a release by the State Reserve Board (SRB) of some of its massive copper and aluminum stockpiles in the near term. In the case of copper, market guesses on the size of this stockpile are ~ 2mm to 2.7mm MT. On the aluminum side, Bloomberg reported CCP officials were considering the release of 500k MT to quell the market's demand for the metal. Chart of the WeekContinue Tightening In Copper Expected Chart 2Aluminum Remains Tight Brownfield Development Not Sufficient Our balances assessments continue to indicate key base metals markets are tight and will remain so over the short term (2-3 years). Economies ex-China are entering their post-COVID-19 recovery phase. This will be followed by higher demand from renewable generation and grid build-outs that will put them in direct competition with China for scarce metals supplies for decades to come. Markets will continue to tighten. In the bellwether copper market, we expect this tightness to remain a persistent feature of the market over the medium term – 3 to 5 years out – given the dearth of new supply coming to market. Copper prices are highly correlated with the other base metals (Chart 3) – the coefficient of correlation with the other base metals making up the LME's metals index is ~ 0.86 post-GFC – and provide a useful indicator of systematic trends in these markets. Chart 3Copper Correlation With LME Index Ex-Copper Copper ore quality has been falling for years, as miners focused on brownfield development to extend the life of mines (Chart 4). In Chart 5, we show the ratio of capex (in billion USD) to ore quality increases when capex growth is expanding faster than ore quality, and decreases when capex weakens and/or ore quality degradation is increasing. Chart 4Copper Capex, Ore Quality Declines Chart 5Capex-to-Ore-Quality Decline Set Market Up For Higher Prices Falling prices over the 2012-19 interval coincide with copper ore quality remaining on a downward trend, likely the result of previous higher prices that set off the capex boom pre-GFC. The lower prices favored brownfield over greenfield development. Goehring and Rozencwajg found in their analysis of 24 mines, about 80% of gross new reserves booked between 2001-2014 were due not to new mine discoveries but to companies reclassifying what was once considered to be waste-rock into minable reserves, lowering the cut-off grade for development.1 This is consistent with the most recent datapoints in Chart 5, due to falling ore grade values, as companies inject less capex into their operations and use it to expand on brownfield projects. Higher prices will be needed to incentivize more greenfield projects. A new report from S&P Global Market Intelligence shows copper reserves in the ground are falling along with new discoveries.2 According to the S&P analysts, copper demand is expected to exceed mined supply by 2028, which, in line with our view, sees refined-copper consumption exceeding production this year. Renewables Push At Risk Just last week, the IEA produced an ambitious and narrow path for governments to collectively reach a net-zero emissions (NZE) goal by 2050.3 Among its many recommendations, the IEA singled out the overhaul of the global electric grid, which will be required to accommodate the massive renewable-generation buildout the agency forecasts will be needed to achieve its NZE goals. The IEA forecasts annual investment in transmission and distribution grids will need to increase from $260 billion to $820 billion p.a. by 2030. This is easier said than done. Consider the build-out of China's grid, which is the largest grid in the world. To become carbon neutral by 2060, per its stated goals, investment in China’s grid and associated infrastructure is expected to approach ~ $900 billion, maybe more, over the next 5 years.4 The world’s largest fossil-fuel importer is looking to pivot away from coal and plans to more than double solar and wind power capacity to 1200 GW by 2030. Weening China off coal and rebuilding its grid to achieve these goals will be a herculean lift. It comes as no surprise that IEA member states have pushed back on the agency's NZE-by-2050 plan. This primarily is because of its requirement to completely halt fossil-fuel exploration and spending on new projects. Japan and Australia have pushed back against this plan, citing energy security concerns. Officials from both countries have stated that they will continue developing fossil fuel projects, as a back-up to renewables. Japan has been falling behind on renewable electricity generation (Chart 6). Expensive renewables and the unpopularity of nuclear fuel could make it harder for the world’s fifth largest fossil fuels consumer to move away from fossil fuels. Around the same time the IEA released its report, Australia committed $464 million to build a new gas-fired power station as a backup to renewables. Chart 6Japan Will Continue Building Fossil-Fuel Back-Up Generation Just days after the IEA report was published, the G7 nations agreed to stop overseas coal financing. This could have devastating effects for emerging and developing nations‘ electricity grids which are highly dependent on coal. In 2020 70% and 60% of India and China’s electricity respectively were produced by coal (Chart 7).5 Chart 7EM Economies Remain Reliant On Coal-Fired Generation Near-Term Copper Supply Risks Rise Even though inventories appear to be rebuilding, mounting political risks keep us bullish copper (Chart 8). Lawmakers in Chile and Peru are in the process of re-writing their constitutions to, among other things, raise royalties and taxes on mining activities in their respective countries. This could usher in higher taxes and royalties on mining for these metals producers, placing future capex at risk. In addition, Chile's state-owned Codelco, the largest copper producer in the world, fears a bill to limit mining near glaciers could put as much as 40% of its copper production at risk.6 None of these events is certain to occur. Peruvian elections, for one thing, are too close to call at this point, and Chile has a history of pro-business government. However, these are non-trivial odds – i.e., greater than Russian roulette odds of 1:6 – and if any or all of these outcomes are realized, higher costs in copper and lithium prices would result, and miners would have to pass those costs on to buyers. Bottom Line: We remain bullish base metals, especially copper. Another leg up in copper would pull base metals higher with it. We would look to get long on politically induced sell-offs, particularly with the USD weakening, as expected Chart 8Global Copper Inventories Rebuilding But Still Down Y/Y   Robert P. Ryan Chief Commodity & Energy Strategist rryan@bcaresearch.com Ashwin Shyam Research Associate Commodity & Energy Strategy ashwin.shyam@bcaresearch.com     Commodities Round-Up Energy: Bullish Next Tuesday's OPEC 2.0 meeting appears to be a fairly staid affair, with little of the drama attending previous gatherings. Russian minister Novak observed the coalition would be jointly "calculating the balances" when it meets, taking into account the likely official return of Iran as an exporter, according to reuters.com. We expect a mid-year deal on allowing Iran to return to resume exports under the nuclear deal abrogated by the Trump administration in 2019, and reckon Iran has ~ 1.5mm b/d of production it can bring back on line, which likely would return its crude oil production to something above 3.8mm b/d by year-end. We are maintaining our forecast for Brent to average $64.45/bbl in 2H21; $75 and $78/bbl, in 2022 and 2023, respectively. By end 2023, prices trade to $80/bbl. Our forecast is premised on a wider global recovery going into 2H21, and continued production discipline from OPEC 2.0 (Chart 9). Base Metals: Bullish Our stop-losses was elected on our long Dec21 copper position on May 21, which means we closed the position with 48.2% return. The stop loss on our long 2022 vs short 2023 COMEX copper futures backwardation recommendation also was elected on May 20, leaving us with a return of 305%. We will be looking for an opportunity to re-establish these positions. Precious Metals: Bullish We expect the collapse in bitcoin prices, the US Fed’s decision to not raise interest rates, and a weakening US dollar to keep gold prices well bid (Chart 10). China’s ban on cryptocurrency services and Musk’s acknowledgment of the energy intensity of Bitcoin mining sent Bitcoin prices crashing. The Fed’s decision to keep interest rates constant, despite rising inflation and inflation expectations will reduce the opportunity cost of holding gold. According to our colleagues at USBS, the Fed will make its first interest rate hike only after the US economy has reached "maximum employment". The Job Openings and Labor Turnover Survey reported that job openings rose nearly 8% in March to 8.1 million jobs, however, overall hiring was little changed, rising by less than 4% to 6 million. As prices in the US rise and the dollar depreciates, gold will be favored as a store of value. On the back of these factors, we expect gold to hit $2,000/oz. Ags/Softs: Neutral Corn futures were trading close to 20% below recent highs earlier in the week at ~ $6.27/bu, on the back of much faster-than-expected plantings. Chart 9 Chart 10     Footnotes 1     Please refer to Goehring & Rozencwajg’s Q1 2021 market commentary. 2     Please see Copper cupboard remains bare as discoveries dwindle — S&P study published by mining.com 20 May 2021. 3    Please see Net Zero by 2050 – A Roadmap for the Global Energy Sector, published by the IEA. 4    Please see China’s climate goal: Overhauling its electricity grid, published by Aljazeera.  5    We discuss this in detail in Surging Metals Prices And The Case For Carbon-Capture published 13 May 2021, and Renewables ESG Risks Grow With Demand, which was published 29 April 2021.  Both are available at ces.bcaresearch.com. 6    Please see A game of chicken is clouding tax debate in top copper nation, Fujimori looks to speed up projects to tap copper riches in Peru and Codelco says 40% of its copper output at risk if glacier bill passes published by mining.com 24, 23 and 20 May 2021, respectively.    Investment Views and Themes Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Trades Closed in 2021 Summary of Closed Trades

Special Report

Highlights We update our assumptions for the likely 10-15 year return for a wide range of different asset classes. Our methodology is basically unchanged from our last Return Assumptions report published in 2019, though we have refined our analysis and use of data in some areas. Returns over the next decade will be very low compared to history. We project that a standard global portfolio (50% equities, 30% bonds, and 20% alternatives) will return only 3.0% a year in nominal terms. That compares to a historic return of 6.3%. There are still some assets that will produce better returns, most notably small caps (4.9% a year in the US) and alternatives (6.2% for private equity, for example). But they also carry higher risk. Spreadsheets are available with detailed data. Introduction This is the third edition of our work on return assumptions. Since publishing the previous reports in November 2017 and June 2019, we have had many opportunities to discuss our methodologies with clients and in the Global Asset Allocation course at the BCA Academy. This has allowed us to test and, in many cases, refine our approach. We believe the methodologies we use have stood the test of time. We have always emphasized that this sort of capital markets assumptions (CMA) analysis is an art, not a precise science. We continue to prefer to project returns over a somewhat undefined 10-15 year period, since this allows us to think about the underlying trend of likely returns. Many other CMA papers use five (or even three) year time horizons which, in our view, are problematical since they rely heavily on a forecast of the timing, length, and severity of the next recession. Our approach is based on the concept that the return on the risk-free long-term government bond is the cornerstone to projecting asset returns, and that this return is rather predictable: It is approximately the current yield. Most other asset returns can be built up from that – the return on high-yield bonds, for example, by assuming that their historic spread over government bonds, and default and recovery rates will continue in the future. For equities, we continue to use six different methodologies, which are based on a mixture of valuation and projected earnings growth. This approach – that assumed returns can be built up from a combination of current yield plus forecast future growth in capital values – also works for most alternative asset classes, for example real estate. We have made a few minor changes to our methodology in this edition. We have, for example, made our use of historical data (for spreads, profit margins, growth relative to GDP, etc.) more consistent, using the 20-year average where possible. The biggest change this time is that clients can download here a spreadsheet with all the data in this report in order, for example, to use the data as inputs into their own optimizers. In addition, we have set up our detailed spreadsheet to allow clients to see the underlying inputs, the formulae behind our methodologies, and to input their own assumptions. This will also allow us to update the results of our analysis as often as needed. Please let us know here if you would like more details about this additional service. This Special Report is structured as follows. First, we analyze the overall results: What is the probable return from each asset class over the next 10-15 years, and how do these differ from historical returns. Next, we describe in detail the methodologies we use, for (1) economic growth, (2) fixed-income instruments, (3) equities, and (4) 12 different alternative asset classes. Then, we describe our way of forecasting currency returns, and show the return assumptions in different base currencies. Finally, we update the numbers for volatility and correlations, which many investors need as inputs into optimization programs. The summary of our results is shown in Table 1. The results are all average annual nominal total returns, in local currency terms (except for global indexes, which are in US dollars). The data is updated to end-April 2021 (except for some alternative asset classes where only quarterly data is available). Table 1BCA Assumed Returns Overall Results Returns over the coming decade are likely to be very disappointing compared to history. Our assumptions suggest a typical global portfolio, consisting of 50% large-cap equities, 30% bonds, and 20% alternatives, will produce an annual nominal return of only 3.0%, compared to an average of 6.3% over the past 20 years. A US-only portfolio with a similar composition is likely to produce only a 3.1% return, compared to 7% in history. The reason is simple: Valuations currently are very stretched in almost every asset class. The risk-free rate (the 10-year government bond yield) in the US is 1.6% (compared to a 20-year average of 3.1%). It is negative in the euro area (in nominal terms) and zero in Japan. These rates are the anchor for the returns of all other asset classes, which are theoretically priced off the risk-free rate plus a risk premium. We have long argued that valuations are not a good timing tool for investors. An asset can remain very expensive or very cheap for a considerable period. But all the evidence shows that the valuation at the starting point is a very powerful indicator of long-run returns. The yield on government bonds, for example, has a strong correlation with their 10-year return (Chart 1). In the equity market, the Shiller PE has historically had little correlation with the return over one or two years, but has a 90% correlation with the return over the subsequent 10 years (Chart 2). Chart 1Starting Yield Determines Bond Returns Chart 2Valuation Drive Long-Run Equtiy Returns     With valuations in equity markets now expensive relative to history (for example, forward PE for US stocks of 22x compared to a 20-year average of 16x, and 18x in the euro zone compared to 13x), investors should expect that equity market returns will be low relative to history. Our assumptions point to a 2.6% annual return from US stocks, 2.3% from the euro zone, and 1.6% from Japan (compared to 8.5%, 3.9%, and 3.5% over the past 20 years). Our assumptions are significantly lower than when we last published our analysis in 2019; then we projected 5.6% for US stocks, 4.7% for the euro zone, and 6.2% for Japan. The difference is that equity multiples have risen and risk-free rates have fallen significantly since then. So what should investors do? They have only two choices: Lower their return assumptions, or increase their weightings in riskier asset classes. Chart 3Hard To See How US Pension Funds Will Achieve Their Targets The average US public pension fund (Chart 3) still assumes a return of 7% a year, and private pension funds’ assumption is not much lower. And yet corporate pension funds have been pushed by their consultants in recent years to increase their weighting in bonds, to more closely match their liabilities (Chart 4). It is almost mathematically impossible to achieve their targets with that sort of portfolio. In other countries, such as Australia or Canada, pension funds’ return targets are typically inflation or cash plus 3-4 percentage points. But even those targets are challenging.   Chart 4...Especially With Over 50% In Bonds There are asset classes which will produce higher returns. For example, we project a return of 4.9% from US small-cap stocks – and 9.7% from UK small caps. US high-yield bonds should produce a return of 3.2% a year (even after defaults) and Emerging Markets local currency sovereign debt 2.7% (in USD terms) – not exactly exciting, but at least a pick-up over other fixed-income securities. The projected returns from illiquid alternative assets continue to look relatively attractive. An equal-weighted portfolio of the 12 alternatives we cover is projected to return 5.7% a year, not much lower than the forecast of 6.1% from our 2019 report (and compared to an average of 7.1% of the past 20 years). There are some alt assets where returns have started to trend down: Private equity, for instance, is projected to return 6.2% a year, compared to 11.1% in history, and hedge funds 4.5%, compared to 5.9%. But the illiquidity premium should not disappear completely, even if the move of alternative investments to become more mainstream has reduced it to a degree. So adding more risky assets to a portfolio is an answer, at least for those investors with a long enough time-horizon that allows them to bear the inevitable big drawdowns that come with having a more volatile portfolio. And, unfortunately, lower returns mean that the incremental return gained for each unit of risk taken has declined compared to the past 10 or 20 years (Chart 5) – the efficient frontier has flattened significantly. Chart 5You Need To Take More Risk To Produce Return How We Came Up With The Assumptions GDP Growth Several of our methodologies use assumptions (for example, in equity methods (2) and (3), based on projections of earnings growth, real-estate capital-value growth, and commodities prices) which require estimates of nominal GDP growth in each country and region. To make these forecasts, we assume that nominal GDP growth can be decomposed into: (1) growth of the working-age population, (2) productivity growth, and (3) inflation. This ignores capital intensity, but it has been relatively stable over history and is difficult to forecast. Table 2 shows the assumptions we use, and our forecasts for real and nominal GDP in each country and region. Table 2Calculations Of Trend GDP Growth For population growth we use the United Nations’ median forecast of annual growth in the population aged 25-54 between 2020 and 2040. This ranges from -1% in Japan to +1% in Emerging Markets – although note that the range of forecast population growth in EM varies widely from 1.2% in India to -1.1% in Korea (and in China, too, is negative at -0.7%). This estimate is reasonably reliable, although it does miss some possible factors, such as changes in the female participation rate, hours worked, and changing openness to immigration. Productivity is much harder to forecast. Over the past 10 to 20 years, productivity growth has trended down in most countries (Charts 6A & B). We take a slightly more optimistic view, assuming that productivity growth over the next 10-15 years will equal the 20-year average. We base this on the belief that part of the decline in productivity since the Global Financial Crisis is due to cyclical reasons which are now dissipating, and also to expectations that new technologies coming through (artificial intelligence, big data, automation, robotics etc) will boost productivity in the coming years. Others take a more pessimistic view. The Congressional Budget Office’s forecast of trend real US GDP growth in 2022-2031 of 1.8%, for example, is lower than our estimate of 2.2% mainly because of its more cautious estimate of productivity growth. Chart 6AProductivity Growth (I) Chart 6BProductivity Growth (II)   To derive nominal GDP growth, we assume that inflation over the next 10 years will be on average the same as over the past 20 years, for example 2% in the US, 1.6% in the euro area, 0.1% in Japan, and 3.9% in Emerging Markets (using a weighted average of EM by equity market cap). This estimate, too, has a high degree of uncertainty. One could imagine a scenario whereby inflation picks up significantly over the next decade due to excessively easy monetary policy, overly generous fiscal spending, growth in protectionism, rising labor pressure for wage increases, and the effects of a rising dependency ratio (the ratio of non-working people, especially retirees, to total population).1 But another scenario of continued “secular stagnation” and disinflation, caused by automation-driven job losses and a chronic lack of aggregate demand, is also conceivable. We think our middle-path forecast is the most sensible one to use in projecting likely asset returns, but investors might also want to plan based on these alternative scenarios too. Note that for Emerging Markets, we continue to show two different scenarios, which vary according to different projections of productivity growth. EM productivity growth has been declining steadily since around 2010, and in all major emerging economies, not just China. Our first scenario assumes that this decline ends and that, as in our assumption for developed economies, productivity growth reverts to the 20-year average. The more pessimistic (and, in our view, more likely) scenario assumes that the deterioration in productivity continues and that in 10 years’ time, EM productivity is the same as the average of developed economies. Which scenario will be correct depends on whether emerging economies, not least China, are able to implement structural reforms over the next decade, for example liberalizing the labor market, allowing a greater role for the private sector, improving corporate governance, and institutionalizing more orthodox fiscal and particularly monetary policy. Fixed Income Our anchor for calculating assumed returns is the return on long-term risk-free assets, specifically the 10-year government bond in the strongest countries. It is a reasonable assumption that an investor who buys, for example, a 10-year Treasury bond today and holds it for 10 years will make 1.6% a year in nominal US dollar terms. While this is not perfectly mathematically correct (since it ignores reinvested interest payments, for instance), empirically the return on government bonds has been very closely linked to the yield at the start-point in history (see Chart 1). From this starting-point in each country, we can easily build up the return for other fixed-income assets. These assumptions and the results are shown in Table 3. Table 3Fixed-Income Return Calculations Government bonds in most countries have an average duration of less than 10 years. Over the past five years, in the US it has averaged 6.4 years, and in the euro area 8.0 years. Only in the UK is the average over 10 years: 12.4 years to be precise. To calculate the return from the government bond index for each country we therefore assume that the shape of the yield curve (using the spread between 7-year and 10-year bonds) in future will be the same as the historic 20-year average. Cash. We assume that over the next 10 years the yield on cash will gradually revert to an equilibrium level. We calculate a market-implied real long-term neutral rate from the 10-year historical average of 5-year/5-year OIS implied forwards deflated by the 5-year/5-year implied CPI swap rate. This is a change from the methodology we used in 2019, when we based this off the neutral rate, r*, as calculated by the Holston Laubach-Williams model. But the New York Fed has temporarily stopped updating its calculation of this due to pandemic-induced volatility in the data, and anyway it was not available for every country. We turn the real cash rate into a total nominal return using our assumption for inflation described in detail in the GDP section above, the 20-year historical average of CPI. For inflation-linked securities, such as TIPS, we take the average yield over the past 10 years (a 20-year average was not available in many markets) and add the assumption for inflation described above. Corporate credit. We assume that spreads, and default and recovery rates, while highly volatile over the cycle, remain stable in the long run (Chart 7). We use 20-year averages for these, except that data for investment-grade default rates in Japan, the UK, Canada, and Australia are not available and so we use the average of the US and the euro zone. High-yield default rates are not available for the UK either, and so we do the same. Other bonds. For government-related debt (which is a big part of some bond indexes, 28% in the US for example) we assume that the 20-year historical average of the option-adjusted spread over government bonds will apply in the future too. We use the same methodology for securitized debt (for example, mortgage- and asset-based bonds): The 20-year average spread over the return on government bonds. Emerging Market debt. The assumptions and results for the three categories of EM debt (US dollar sovereign debt, US dollar corporate debt, and local currency sovereign debt) are shown in Table 4. We here assume that the 20-year average historical spread will continue in future. Default and recovery rates are a little harder to calculate, due to a lack of data. For USD sovereign debt (where defaults are rare and so hard to project), we use the rating-based default rate, calculated by Aswath Damodaran of NYU Stern School of Business.2 For USD-denominated EM corporate debt, we use the historical average, calculated by Moody's 2.5%.3 For local-currency debt, we use the same rating-based default rate as for USD sovereign debt. To translate the return into hard currency, we assume that currencies will move in line with the inflation differential between Emerging Markets and the US. For EM inflation we use an average of the IMF’s inflation forecasts for the nine largest emerging markets weighted by their weights in the J.P. Morgan GBI-EM Global Diversified local government bond index, and compare this to our US inflation forecast. This produces an EM inflation forecast of 2.9% a year, compared to 2.2% for the US, thus lowering the USD-based return from local EM debt by 0.7 percentage point. (See a more detailed discussion of forecasting long-term EM currency changes in the Currency section below). Index returns. Table 3 also shows the assumed return for the Bloomberg Barclays bond index for each country and for the global bond index, based on a weighted average of our assumption for each fixed-income asset class and country. Chart 7ACredit Spreads & Default Rates (I) Chart 7BCredit Spreads & Default Rates (II)   Table 4Emerging Market Debt   Equities The assumptions and detailed results for seven different equity markets are shown in Table 5. We have not made any substantial changes to our methodology for equities. We continue to use the average of six different methods to calculate the probable equity returns over the next 10-15 years. These are: Equity Risk Premium (ERP). The return from equities equals the yield on government bonds (we use 10-year bonds) plus an equity risk premium. For the US, we use an equity risk premium of 3.5%. This is based on work by Dimson, Marsh and Staunton4 showing that this is approximately the average excess return of equities over bonds in developed economies since 1900. We scale the equity risk premium for other countries using their average beta to the US market over the past 10 years. This varies from 0.66 for Japan (giving an ERP of 2.3%) and 1.2 in the euro area (ERP is 4.2%). Growth model. Here we assume that the return from equities equals the current dividend yield plus dividend growth. We need to adjust the dividend yield, however, to take into account that in some countries, particularly the US, it is more tax efficient for companies to do buybacks than to pay out dividends. We do this by adding equity withdrawals to the dividend yield. But this needs to be done on a net basis (taking into account equity issuance). We calculate this using the average annual change in the index divisor over the past 10 years. For the US, this is -0.8%, meaning there are more buybacks than new share issues. But in all other regions, the number is positive, and as high as 5.9% a year for Emerging Markets. This dilution is something that many calculations of assumed equity returns miss. For dividend growth, we assume that the dividend payout ratio remains stable, and that earnings growth is correlated with nominal GDP growth. However, history shows that earnings grow more slowly than GDP (logically so, when you consider that companies usually grow fastest before they list on a stock exchange). So we deduct 1% from nominal GDP growth to derive our earnings growth assumption. Note that for Emerging Markets, we use two different measures of dividend growth, depending on future productivity growth, as detailed above in our explanation of the GDP projections. Growth model (with reversion to mean). To take into account that valuations and profit margins typically revert to mean over the long run, we adjust the standard growth model (No. 2 above) by assuming that the current 12-month forward PE ratio and forward net profit margin for each country gradually revert over the next 10 years to their 20-year average. In the US, for example, that would mean that the current 12-month forward PE of 22.5x falls back to 16.0x, and profit margin of 12.5% falls to 10.7%. In every country and region, the profit margin is currently above the long-run average, and in all except the UK the PE is too. Note that we have changed from using the trailing PE and margin, because to use these now would be misleading given the big pandemic-driven decline in profits in 2020. Earnings yield. An intrinsically intuitive (and empirically demonstrable) way of estimating future returns is to use the earnings yield. This is based on the idea that an investor’s return from owning a stock comes either from the company paying a dividend, or from it investing retained earnings and paying a dividend in future. In the US, for example, a forward PE of 22.5x translates into an earnings yield of 4.4%. Again, here we switched this time to using 12-month forward forecast earnings yield, rather the trailing. Shiller PE. There is a strong correlation between valuation at the starting-point and the subsequent return from equities, at least over the long-run, although not over a period of less than 3-5 years (Chart 2). We regressed the Shiller PE (current price divided by average real earnings over the past 10 years) against the return from equities over the subsequent 10 years for each country and region. Composite valuation metric. The Shiller PE has its detractors. Using a fixed 10-year period does not reflect the different lengths of recessions and bull markets. It may say more about the mean-reverting nature of earnings than about whether the current price level is too high. So we also use the BCA Compositive Valuation Metric, which comprises eight indicators including, besides standard valuation measures such as price/sales and price/book, more esoteric ones such as market cap/GDP and Tobin’s Q. Again, we regress the metric against the subsequent 10-year return. Table 5Equity Return Calculations Alternative Assets Real Estate & REITs. We use the same basic methodology for both: The current yield (cap rate or dividend yield) plus projected capital value appreciation (linked to GDP growth). For US direct real estate, for example, we use the simple average cap rate of the five categories of commercial real estate (CRE), apartments, office, retail, industrial, and hotels in major cities: 6.1%. We also use the simple average of available city and category data for other countries. Cap rates are notoriously hard to estimate precisely; our data include a range of real estate, not just prime locations. We assume that capital values will grow in line with nominal GDP growth (using the same assumptions for this as we used for equities, 4.2%). We then deduct 0.5% for maintenance. This produces an expected return of 9.8% for the US. The only difference for REITs is that we do not deduct maintenance since this should already be reflected in the dividend yield. US REITs have a dividend yield currently of 3.5%, which produces an assumed return of 7.7% (Table 6). One risk with this methodology is that in the post-pandemic world, work and life practices might change. This will hurt office and residential real estate in major cities (which are overrepresented in investible CRE), though smaller cities and rural areas might benefit. As a result, capital values might fall. Table 6Alternatives Return Calculations Farmland & Timberland. Our methodology is similar to that for real estate: Current yield plus projected growth in capital values. For farmland, we use the farmland renter yield, sourced from the US Department of Agriculture. To estimate future land values, we take the gap between land value growth over the past 40 years (3.7%) and nominal growth of world GDP over that time (5.2%), assume that gap will continue and so deduct it from our estimate of global nominal GDP growth going forward (3.6%). This gives a result of 6.5%. For timberland, we assume that annualized returns in the future are the same as over the past 20 years. This produces a return assumption of 5.7%, which is (logically) moderately lower than our assumed return for farmland. Private Equity & Venture Capital. We project the return for private equity (PE) using the 30-year time-weighted average of the three-year rolling annualized return of PE over US large-cap equities, 3.6% (Chart 8). This produces an assumed return of 6.2%. For venture capital (VC), we use the same historical average for VC over PE (0.4%) to arrive at an assumed return of 6.6%. Hedge Funds. We use the 20-year time-weighted return of the Hedge Fund Composite Index over cash, 3.5% (Chart 9). This projects a future annual nominal return of 4.5%. Commodities. We previously used a methodology based on the idea that commodities’ bear markets in history have been rather fairly consistent, lasting on average 17 years, with an average decline of 50%, and that the current bear market began in 2012 (Chart 10). However, there are arguments that a new “commodities super-cycle” may be starting, driven by government infrastructure spending, and investment in alternative energy.5 We are agnostic for now on whether that will be the case, but it makes sense to switch to a neutral methodology, more in line with what we use for other assets classes: The return from commodities relative to GDP over the long run. Specifically, the CRB Raw Industrials Index has risen by an annualized 1.6% since 1951, during which time US nominal GDP growth averaged 6% (Chart 11). We assume that the differential will continue in future (although we calculate growth using global, not US, GDP), giving an annual return from commodities over the next 10-15 years of -0.9%. Gold. We calculate this using a regression of the gold price against nominal GDP growth and the annual change in the real 10-year yield over the past 40 years. For the forward-looking return assumption, we use a forecast of real rates (based on the equilibrium cash rate plus the average historical spread between the 10-year yield and cash) and a forecast of global nominal GDP growth. This produces an assumed return of 3.8%. Structured products. This asset class consists mainly of mortgage-backed and other asset-backed securitized instruments. In the US, these have historically returned 0.6% over US Treasurys. We assume that this premium continues, producing a total future return of 1.1% a year. Chart 8Private Equity Premium Chart 9Hedge Fund Return Over Cash     Chart 10Commodity Prices In History Chart 11Commodity Prices Vs. GDP Growth     Currencies Chart 12Currencies Tend To Revert To PPP To translate our local currency returns into an investor’s base currency, we need to arrive at some projections for FX movements over the next decade. Fortunately, for developed market currencies at least, it is relatively straightforward to use purchasing power parities (PPP) to do this since, over the long run, all the major currencies have tended to revert to PPP (Chart 12). We assume that in 10 years’ time all currencies will trade at PPP. We use the IMF’s estimate of today’s PPP for each currency to calculate the current under- or over-valuation. We assume that PPP will change in future years according to the relative inflation between each country and the US. The IMF provides five-year inflation forecasts and we assume that inflation will continue at this rate until 2031. For the euro zone, we calculate the PPP of the euro using the GDP-weighted PPPs of the five largest economies. The results (Table 7) suggest that the US dollar is currently overvalued and, given the forecast of higher inflation in the US than elsewhere in the future, will depreciate significantly against all major currencies except the Australian dollar. The USD is projected to depreciate by 1.7% a year against the euro and 1.1% against the yen over the next 10 years. It is likely to appreciate by 1.3% a year against the AUD, however. Table 7Currency Return Calculations Emerging Markets (Table 8) are more complicated. There is no evidence that EM currencies move towards PPP over time. All the major EM currencies are currently very cheap versus PPP (varying from 34% undervalued for the Chinese yuan to 67% for the Indonesian rupiah) but they were 10 years ago, too, and have not significantly moved towards PPP over that time. Table 8EM Currencies To calculate likely EM currency moves against the USD, therefore, we carry out a regression of the nine largest EM currencies against their relative CPI inflation rate to US inflation in history. We assume an intercept of zero. The regression coefficients vary from +0.5 for China to -1.7 for Malaysia. Apart from China, Malaysia, Poland and South Africa, the coefficients were negative, meaning that historically the USD has strengthened against the EM currency at least partly in line with relative inflation. To calculate likely future currency movements, we use the IMF’s five-year inflation forecasts and assume that the same rate of inflation will continue for our whole projection period. This methodology points to moderate annual depreciation of most EM currencies against the USD, varying from 0.8% a year for the Russian ruble to 0.1% for the Indonesia rupiah. The Chinese yuan and Taiwanese dollar are projected to appreciate moderately. We calculate the average EM currency movement using the weights of these nine large economies in the EM J.P. Morgan GBI-EM Global Diversified local-currency sovereign bond index. This produces a small (0.1%) a year appreciation. However, the IMF’s EM inflation forecasts may be too optimistic. It forecasts, for example, that Brazilian inflation will be only 3.3% a year in future, compared to an average of 6.1% over the past 20 years, and Russian inflation 4.0% versus a historical average of 9.3%. This suggests that EM currency performance could be worse than our projections. Table 9 shows the returns for the major asset classes expressed in local currency terms for six base currencies, based on the calculations explained above. Table 9Returns In Different Base Currencies Correlation And Volatility Below, in Table 10, we provide correlations for clients who need these inputs for their optimization calculations. Table 10Long-Run Correlation Matrix Returns can be calculated using the sort of forward-looking methodologies we have described above. For volatility, we think it is reasonable to use historical average data (Table 1, far right column), since volatility does not tend to trend over the long run (Chart 13). But correlation is a different matter. Correlations have varied significantly in history due to structural changes or regime shifts. The correlation of equities to bonds, it is well known, has moved from positive in the 1980s and 1990s, to negative since 2000 – probably because inflation disappeared as a factor moving bond prices (Chart 14). The correlation between equity market has risen as a result of the globalization of investment flows, though note that it fell back in 2010-2019. Chart 13Volatility Is Fairly Stable In The Long Run Chart 14Correlations Are Not Stable   So what correlations should investors use in an optimizer? Our recommendation would be to use the longest period of history available. A US investor, for example, might take the average correlation between Treasury bonds and large-cap US equities since 1945, 0.1%. Table 10 shows the correlation since 1973 of all the major asset classes for which data is available. Unfortunately, this misses some important asset classes such as high-yield bonds and Emerging Market equities, whose history does not go back that far. The results are intuitive – and prudent. From these numbers, it would seem sensible to use an assumption of a small positive correlation between US Treasurys and US equities, for example. US investment-grade debt has a correlation of 0.4 against equities. Global equity markets are all fairly highly correlated to each other, ranging mostly from 0.4 to 0.7. The most non-correlated asset class is commodities, especially gold.   Garry Evans, Senior Vice President Global Asset Allocation garry@bcaresearch.com   Amr Hanafy, Senior Analyst Global Asset Allocation amrh@bcaresearch.com   Footnotes 1 These are themes that BCA Research has been writing about for several years. See, for example, please see Global Investment Strategy, "1970s-Style Inflation: Could It Happen Again? (Part 1)," dated August 10, 2018; and " 1970s-Style Inflation: Could It Happen Again? (Part 2)," dated August 24, 2018. 2 Please see http://pages.stern.nyu.edu/~adamodar/New_Home_Page/datafile/ctryprem.html 3 Annual Emerging Markets Default Study: Coronavirus Will Push Up Default Rates https://www.moodys.com/researchdocumentcontentpage.aspx?docid=PBC_1214906 4 Please see, for example, https://www.credit-suisse.com/media/assets/corporate/docs/about-us/research/publications/credit-suisse-global-investment-returns-yearbook-2021-summary-edition.pdf. 5 Please see Commodity & Energy Strategy, "Industrial Commodities Super-Cycle Or Bull Market?", dated March 4, 2021.

Highlights The Seventh National Population Census highlights the seriousness of China’s demographic deterioration; apart from a shrinking working-age population, the nation’s fertility and birth rates have dropped meaningfully. China’s urbanization rate will likely slow in the second half of this decade. The country’s urban population growth is only slightly positive, while the rural population is declining and aging. Demand for housing will experience a structural downshift, particularly in less developed regions.  Competition for labor will become fiercer among regions and sectors, and wage growth will continue to accelerate. However, the manufacturing sector will remain competitive regardless of wage inflation, thanks to the rising quality of China’s labor force and innovation. Interest rates will structurally shift to a lower range, providing some tailwind to Chinese equities and government bonds. Feature The Seventh Population Census, conducted by the National Bureau of Statistics every 10 years, reinforced the magnitude of China’s demographic challenge. The nation’s population is not only aging but is set to start shrinking due to extremely low birth and fertility rates. The main implication is that China’s urbanization rate will slow and property market will likely encounter a structural downshift, tied to declining demand from both its working-age (age 15 to 64) and total population. Demand for housing will increasingly concentrate in top-tier cities because these metropolitan areas have more advantages attracting labor. Secondly, manufacturing will likely maintain its share of GDP, despite China’s push for consumption and growth in the service sector. Importantly, interest rates will continue to shift downward along with a decelerating potential growth; waning interest rates will create a tailwind to China’s capital market in the long term.  Highlights From The Census The Census showed three meaningful shifts in China’s demographics in the past decade:  1.  China is getting old before getting rich. China is experiencing a worse demographic transition than Japan in the early 1990s, with a lower level of per capita wealth than Japan attained when its working-age population peaked (Chart 1). Over the past ten years China’s population has only expanded by 5.4%, the lowest rate since the first census in 1953. Moreover, the country’s oldest cohort rose from 8.9% in 2010 to 13.5% and the working-age population is falling more quickly than in Japan. China’s working-age population peaked in 2010 and then fell by 6.79 percentage points in the next 10 years. In contrast, Japan’s working-age population peaked in 1992 and fell by 2.18 percentage points in the subsequent decade (Chart 1, top panel). 2.  China’s total population is set to start declining in five years. Some demographers project that China’s total population will peak in 2027,1 but a high-level Chinese official recently predicted that the country’s population will start to trend down as early as in 2025.2 The relaxation of the one-child policy in 2015 helped to lift the birthrate (births per 1,000 people) briefly in 2016, before falling sharply again in 2017. The population’s natural growth rate, calculated as birthrate minus deathrate, is rapidly approaching zero (Chart 2). Chart 1China's Working Population Falling Faster Than Japan's In 1990s Chart 2China's Population Growth Will Turn Negative In Mid-2020s The birthrate is the main determinant of the population’s natural growth rate given that China’s deathrate has been steady for decades.  If the birthrate continues to fall at the current rate, then China will undoubtedly reach a population turning point and will join nations such as Japan, Germany and South Korea, which have negative population growth.  3.  A low fertility trap. Chart 3China's Alarmingly Low Fertility Rate Is Set To Decline Even Further... China’s extremely low fertility rate3 is a major contributor to its falling birthrate.  The current 1.3 reading is less than in many developed countries, such as Japan with 1.4 and the US with 1.6, and it is far below the fertility rate of 2.1 needed to stabilize a population, according to the United Nations (Chart 3). China’s fertility rate is set to dive even further in the coming years due to structural factors such as a dwindling number of childbearing-age women linked to the one-child policy implemented in the 1980s (Chart 4). China’s high female labor participation rate and low propensity among young people to get married, and the high cost of raising children in urban areas, all are long-standing socio-economic issues hindering the Chinese from having more babies (Chart 5). Chart 4…Due To Fewer Childbearing-Age Women And… Chart 5...Structural Issues That Curb Chinese Propensity To Produce Babies Bottom Line: These structural trends will take decades to reverse. China faces a dramatic plunge in its population in the very near future if the authorities do not enact significant and immediate policy changes.   Urbanization Pace Will Slow The Census indicates that rapid urbanization continued through 2020, with the rate hitting 64% of the population, up 14 percentage points from 2010. However, the headline number in the urbanization rate understates China’s progress in industrialization, i.e. the country’s rural-to-urban transition has entered a late stage and the current pace cannot be sustained in the future. Significantly, China’s underlying demographic shifts will likely lead to a passive increase in the urbanization rate in the second half of this decade. This trend will curb rather than boost demand in urban areas.  The experience of developed countries suggests that the pace of urbanization begins to slow when the rate reaches around 70% (Chart 6). Based on China’s current level, the country should reach the 70% threshold in just six to seven years. Meanwhile, China is much more industrialized than generally perceived: the country’s industrialization rate is currently 85%, which means that 85% of jobs in China are in non-agricultural sectors (Chart 7). Chart 6Urbanization Progress Stabilizes When Reaching 70% Chart 7China Is Much More Industrialized Than Commonly Believed Furthermore, a higher urbanization reading may be the result of negative natural population growth. Given that the urbanization rate is calculated as a percentage of urban population in the total population, a decline in the absolute level of total population (the denominator) could lead to a passive increase in the numerator. Chart 8Japan Has Had A "Passive" Increase In Urbanization Since 2012 For example, Japan’s urbanization rate rose significantly during the 2000s, and maintained an upward momentum even as its total population peaked in 2010. However, its urban population growth rate dropped dramatically and turned negative in 2012 – suggesting the increase in the urbanization rate is due to a shrinking total population instead of expanding urbanities (Chart 8). The rising deathrate of the rural elderly population is another important reason for the accelerated increase in Japan's urbanization rate. China’s urban population growth is on a sharp down trend, although it is still slightly positive (Chart 9). However, the rural population has shrunk and aged, which limits future migration from rural to urban areas (Chart 10).  China’s rural population has shrunk by almost half from its peak in 1995 to 2020. The share of the rural population 50 years and older doubled in the same period. Chart 9China's Urban Population Growth Is On The Decline... Chart 10...While Rural Population Has Shrunk And Aged Thus, China’s rural-to-urban migration has slowed in the past decade (the trend turned negative last year due to the pandemic). The number of new migrant workers moving from the country to the city tumbled from 12.5 million a year to 2.5 million, and the number of younger migrants (50 years and younger) has contracted since 2017 (Chart 11). Chart 11The Number Of Young Migrant Workers Started Contracting In 2017 Bottom Line: Country-to-city migration will be smaller going forward based on a diminishing rural population, an increasing number of elders and a reduced proportion of young people in rural areas. When China’s population peaks, which is highly likely by 2025, its urbanization progress will turn passive and the aggregate population growth in urban areas may also turn negative. Aggregate Housing Demand Will Dwindle The demographic shifts described above will impact the demand for properties and accentuate regional divergences in housing demand and prices.   Historically, changes in the working-age population led residential home sales by five to six years. Home sales have fluctuated in a downward trend in the past five years along with a peak in the working-age population in 2015 (Chart 12). Moreover, the sharp deterioration in China’s birthrate means that home sales will be significantly reduced in the next 15-20 years. Chart 12Aggregate Demand For Housing Will Dwindle Along With Smaller Labor Force Chart 13Population Is An Important Driver For Urban Development The regional divergence in the demand for housing will also widen. Population, especially the labor force, is an important driver for urban development and housing (Chart 13 above). Population migration mainly occurs among 15-59-year-olds, and this cohort is also the main homeowner group. As China’s labor force increasingly flocks to developed areas, the economic development of less developed areas will face greater challenges (Chart 14). Those areas will encounter a combination of declining birthrate and outflow of labor force. This demographic shift is already evident in many two- and third-tier cities where housing prices have lagged far behind the tier-one cities (Chart 15). Chart 14Less Developed Regions Have Seen Net Population Losses In The Past Decade… Chart 15...And Softening Housing Prices Bottom Line: The drop in China’s birthrate and working-age population will lead to less demand for housing. However, China’s first-tier cities (and core metropolitan areas) will likely continue to outperform third- and fourth-tier cities in terms of labor growth, consumption and home prices. Labor Measures And Manufacturing Competitiveness Labor shortages in selected sectors and upward pressure on wages will likely intensify in the coming decade. While labor quantity will decrease, the quality of China’s labor force will remain competitive. From an aggregate economy perspective, improving labor productivity and automation can help to offset the smaller number of workers (Chart 16). Following two decades of rapid expansion in the industrial sector, China’s labor shortages began to multiply when the country’s urbanization ratio rose to between 50% and 60%. Looking at Japan and Korea, for example, a shortage in manufacturing labor emerged when the countries’ manufacturing/agricultural employment ratio climbed above one. China’s employment ratio likely have crossed this threshold in the mid-2010s, coinciding with a rollover in its working-age population and a massive jump in wage growth (Chart 17). Chart 16Improving Labor Quality To Offset Smaller Labor Quantity Chart 17Manufacturing Labor Shortage And Wage Pressure Intensified In Mid-2010s The manufacturing and service sectors will continue to compete with agriculture for labor. The wage gap between urban and rural areas is disappearing and there are signs of labor market tightness in urban settings (Chart 18).  While the demand for labor has been flat, labor supply peaked in 2013/14 and has been on the wane since that time, which has resulted in an ascending demand-to-supply ratio in China’s urban labor market (Chart 19). Chart 18Wage Gap Between Urban And Rural Areas Is Disappearing Chart 19Urban Labor Supply Can't Keep Up With Demand The bright side is that China’s labor shortage and escalating wages have not eroded the competitiveness of its manufacturing sector. Impressive labor productivity gains and progressively improving labor quality have trumped higher input costs (Chart 20). Consistent with improved productivity, China’s share of global trade continues to build regardless of higher wages, a stronger currency, and import tariffs from the US (Chart 21). The manufacturing sector has gradually climbed the value-added chain in recent years and mounting wage pressures will likely push the corporate sector, particularly in more developed coastal regions, to move further away from a labor-intensive model. Chart 20Rising Wages But Stable Unit Labor Costs Chart 21Chinese Exporters Have Maintained Their Global Market Share Despite Higher Costs The 14th Five-Year Plan outlined policymakers’ decision to maintain the share of manufacturing in GDP, which is around 30%. Labor productivity in the manufacturing sector is notably higher than in the service sector. In an environment of shrinking labor, keeping workers in a high-productivity sector may be a better way to stabilize potential growth. Bottom Line: The competition for labor between sectors will intensify. Meanwhile, manufacturing’s share of China’s economy will likely be sustained in this decade, which will help to mitigate the speed of the deceleration in China’s growth.  Implications On Policy Setting Chart 22AInterest Rates Drop With Aging Population The combination of a weak fertility/birthrate and a decline in the working-age population will weigh on consumption and investment growth, bringing deflationary headwinds to the economy. China’s interest rate regime will likely follow its Asian neighbors to downshift structurally (Chart 22). Despite moderating potential economic growth, a low interest rate environment may be positive for China’s financial asset prices.  Chart 22BInterest Rates Drop With Aging Population Chart 22CInterest Rates Drop With Aging Population Chart 23Support Ratios Are Declining Globally One could argue that a falling support ratio – measured by the number of workers relative to consumers – can lead to inflation (Chart 23). This could happen to the US where baby boomers retire but continue to spend particularly on healthcare, while production falls along with the available workers. As production falls in relation to consumption, inflation could rise. However, this is not the case in China where both production and consumption will fall. Demand from an aging population may increase pockets of inflationary pressures, such as healthcare and elderly care, but it is unlikely to fully offset weakening demand from a declining working-age population and total population. In other words, both the numerator (workers) and denominator (consumers) will be falling in China. While a weakening demographic profile is negative for economic growth, lower prices on capital will make corporate debt-servicing cheaper. Further industrial consolidation aimed at supply-side reforms will also improve corporate profitability. Cheaper capital, improving productivity and efficiency could provide tailwinds to Chinese stocks and government bonds in the long run.   Jing Sima China Strategist jings@bcaresearch.com   Footnotes 1As of 2020, China’s total population is at 1411.78 million. 2"China faces an economic crisis as a population peak nears," South China Morning Post, April 18, 2021. 3The total fertility rate is based on the number of newborns by women in child-bearing years, which is ages 15-44 or 15-49 by international statistical standards.  Cyclical Investment Stance Equity Sector Recommendations

Highlights The number one risk to our upbeat view on European economic activity and assets is a Chinese economic slowdown. The second most important risk to our view is a potential deterioration in the global credit impulse, even outside of China. The third major risk is that the current bout of US inflation proves to be permanent, which, paradoxically, would prompt a deflationary shock for the global economy. Despite these risks, we maintain our favorable view on European assets over the coming 12 to 18 months. However, favoring industrials over materials, and financials over other cyclicals, Swedish equities and peripheral bonds in balanced portfolios mitigate some of these risks. Do not expect the ECB to announce a tapering of its asset purchases at the June meeting. The ECB will lag well behind the Fed and the BoE. Buy European steepeners and US flatteners as a box trade. Feature Over the past three weeks, a sustained marketing push gave us the opportunity to interact intensively with a large subset of our clients (albeit virtually, courtesy of COVID-19). Generally, our positive stance on European assets was well received, but investors are loosely committing themselves to this view and very few are willing to make an aggressive bet on Europe. In fact, in most meetings, we spent more time than usual discussing the risks to our upbeat view on Europe and European cyclical equities. Three risks to our 12- to 18-month view standout. The first is a serious slowdown in Chinese growth. The second is a greater-than-anticipated impact on economic activity as a result of a deterioration in DM credit impulses. The third is stronger-than-expected US inflation. An also-ran was the risk that the current vaccines do not protect against the two variants of the COVID-19 virus dominant in India. However, an increasing body of recent scientific studies demonstrates that this is not the case; hence, this risk has been lowered to minor. Risk #1: A Chinese Slowdown Authorities in China have been constricting credit policy over the past six months. The key tools used have been a regulatory tightening in shadow-banking activities and real estate transactions, moral suasion on small banks to limit the expansion of their loan books, and slowing liquidity injections in the interbank system. Beijing’s policy tightening reflects the following two worries. First, the financial stability risk has increased meaningfully over the past 16 months. China’s corporate debt-to-GDP has increased 13 points to 163%, and is among the highest for major economies (Chart 1). Moreover, Chinese policymakers remain concerned by the middle-income trap, which would become an increasingly likely outcome if the stability of the country’s financial and banking system were compromised. Second, the latest round of stimulus has worsened wealth inequalities. House prices have been robust, yet household disposable income growth is still low by the yardstick of the past 40 years (Chart 2). Thus, a large proportion of China’s population has experienced a decline in housing affordability. Chart 1China"s Financial Stabilitiy Risk Chart 2Chinese Households Are Not Doing That Well The Chinese economy recently started to feel the impact of the policy tightening. China’s April retail sales data missed expectation by 7.2%, and, as our China Investment Strategy colleagues have observed, the demand side of the economy has lagged behind the recovery in supply ever since China re-opened last year. Credit trends confirm this assessment. The decline in the excess reserve ratio of the Chinese banking system is consistent with the recent deterioration in the credit impulse, which accelerated in April (Chart 3). Since the Great Financial Crisis, weaker Chinese credit flows herald softer global industrial activity and trade (Chart 3, bottom panel). The Chinese slowdown could become a major problem for the European economy and its asset markets. As we recently showed, the sensitivity of European economic activity to global growth has been steadily increasing over the past 20 years (Chart 4). Moreover, the spread between M1 and M2 money supply growth in China best explains the gap between European industrial activity and that of the US (Chart 4, middle and bottom panels). Essentially, M1 minus M2 approximates the Chinese private sector’s marginal propensity to consume, because it captures how fast demand deposits are growing relative to savings deposits. Thus, the recent decline in China’s marginal propensity to consume constitutes a bad omen for European activity and profit growth, both in absolute terms and relative to the US. Chart 3A Policy-Induced Slowdown Chart 4Europe Is More Exposed Than The US The slowdown in China’s economy will hurt European asset prices via multiple channels. Importantly, cyclical stocks are expensive and overbought compared to defensive ones. A meaningful decline in Chinese growth could result in a deep fall in the cyclicals-to-defensives ratio, which would hurt the pro-cyclical EUR/USD exchange rate (Chart 5). A weaker China might also create a significant fall in global yields, because it would hurt global growth, accentuate deflationary forces, and upset investor sentiment. European stocks underperform US equities when global yields decline (Chart 6). Chart 5The Euro Is Pro-Cyclical Chart 6A Key Threat To European Stocks Despite the dire impact that a Chinese economic slowdown normally causes on European growth and assets, this outcome remains a risk and not a base case (albeit, the top risk in our view). First, today is one of the rare occasions when global and European economic activity can decouple from China. The Euro Area’s vaccination campaign is gaining steam, which will allow a re-opening of the economy this summer (Chart 7). The vast pent-up demand in durable goods evident in Europe and the positive impact of the European monetary expansion on the contribution of consumer expenditure to real GDP growth also create powerful offsets (Chart 8). Chart 8European Pent-Up Demand As An Offset Chart 7Improving Vaccine Rollout The global industrial cycle is more buffered than usual against a Chinese economic slowdown. The collapse in the inventory-to-sales ratios around the world will fuel several quarters of restocking, which will boost the global manufacturing sector (Chart 9). Moreover, governments across advanced economies are unleashing large-scale infrastructure plans, such as the $2 trillion bill proposed by the Biden administration in the US or the EUR250 billion budget proposal by the Draghi government in Italy. As the EUR750 billion NGEU funds are disbursed, the tailwind to infrastructure spending will only grow (Chart 10). Additionally, the current spurt in inflation around the world is a relative price shock driven by scarcity created during the pandemic. This price shock incentivizes companies to expand production and capacity to meet demand. As a result, global capex intentions are rising, which will create an additional offset to China. Chart 9Restocking Ahead Chart 10More Fiscal Support This Way Comes Finally, constraints on Chinese policymakers limit to how far Chinese growth will decelerate. The Chinese Communist Party Congress, in which the make-up of the politburo is determined for the next five years, takes place in October 2022. However, the weak growth rate of household disposable income creates a headache for China’s leadership. While another round of massive stimulus is unlikely to shore up household disposable income (it has not worked thus far), Beijing will not take the chance to generate another deflationary shock. This constraint creates a natural floor under the growth deceleration that Beijing can tolerate. Thus, while a policy mistake is still possible, it is not our base case scenario. Investment Implication Faced with the aforementioned dynamics, BCA recommends that investors with a short-term investment horizon go neutral on cyclical equities relative to defensive ones. Practically, this means that EUR/USD is likely to continue to churn between 1.18 and 1.235 for the coming two to three months. Additionally, European equities are likely to move sideways relative to their US counterparts over this period. Within cyclical equities, we favor industrials over materials. Commodity prices, and thus the materials sector, are the most exposed to China. Meanwhile, the outlook for infrastructure spending and capex in DM economies has a greater impact on industrial stocks than on materials ones. Technically, industrials remain toward the bottom of their upward-slopping trend channel relative to materials, which suggests further catch up is likely (Chart 11). We also favor European financials over the rest of the cyclical sectors. The negative impact of a greater-than-expected Chinese economic slowdown on global yields will hurt financials. Nonetheless, domestic economic activity affects financials more than it influences the more internationally focused industrials and materials sectors. Thus, if the Eurozone service PMI can slingshot higher, a result of the re-opening of the economy this summer, then European financials will outperform industrials and materials stocks even if the Chinese economy slows (Chart 12). Moreover, financials trade at a large discount compared to these other two cyclical sectors (Chart 12). Chart 11Overweight Industrials Vs Materials Chart 12Financials As A Protection Against China Finally, we continue to favor Swedish equities. Industrials and financials account for 65% of the Swedish MSCI benchmark compared to 30% for that of the Euro Area. Therefore, they are particularly exposed to the positive outlook on global infrastructure spending and capex. Moreover, Swedish equities generate a return on equity of 15%, compared to 6% for the Eurozone stocks. To protect against the risk created by a weakening Chinese economy, we recommend investors hedge a long / overweight bet on Sweden with a short / underweight position in Norwegian equities that massively over-represent energy and materials. Risk #2: A Global Credit Impulse Deterioration According to the BIS data, the global credit impulse is on the verge of deteriorating, even outside of China. The G10 plus China annual credit impulse is elevated and peaking (Chart 13, left). Meanwhile, quarterly credit impulses in the US, the Euro Area, and China are negative (Chart 13, right), which often leads to turning points in the annual change in credit flows. Chart 13A Global Credit Impulse Problem Chart 13A Global Credit Impulse Problem A deterioration in the credit impulse could result in a sharp slowdown in global economic growth, because the deceleration in credit creation is broad-based among the major economies. If global growth decelerates, then European economic activity will also suffer. Table 1Essential Sector Breakdowns The impact on European financial markets will come from lower yields. A growth deceleration prompted by a falling credit impulse will put downward pressure on yields and will hurt the performance of value stocks relative to growth equities. Cyclical equities will also underperform defensive ones. In this scenario, European stocks will lag behind their US counterparts because of their relative sectoral biases (Table 1). Within the European benchmark, Tech-heavy Dutch stocks would perform best once yields begin to decline. The effect on growth of the slowing credit impulse remains a risk and not a base case scenario. Last year’s surge in credit intake mostly reflected precautionary demand. Companies around the world tapped their credit lines or the capital markets early in the crisis to build liquidity buffers. They then continued to borrow to take advantage of the exceptionally low interest rates that prevailed throughout most of the year. Similarly, a large proportion of household borrowing amounted to debt refinancing. As a result, last year’s explosion in credit growth had a limited impact on spending. Thus, the credit impulse’s decline in advanced economies should minimally hurt aggregate demand in the coming months. Investment Implication Investors can protect against this risk by overweighting Italian and Spanish bonds in a balanced portfolio. First, these instruments continue to offer better value than other government bonds around the world. Moreover, if global growth turns out to be weaker than expected, the ECB might have to increase the envelope of the PEPP program, which has greatly benefited peripheral bonds. Moreover, the NGEU and REACT EU program buttress weaker European sovereign borrowers. Therefore, yield-hungry global investors will resume their aggressive purchase of the high-yielding peripheral bonds if global interest rates decline anew because of softening economic activity. Risk #3: Stronger Than Expected US Inflation BCA’s house view is that the current surge in global and US inflation is transitory, even if the pressures could last a few months before ebbing. It is mainly a consequence of inadequate aggregate supply in the face of a sudden surge in demand. We cannot be dogmatic about the inflation risk. The price-components of all the major activity surveys in the world are rising, and, in the US, the inflation expectations of households have risen meaningfully (Chart 14). If an inflation mentality were to take root, then core CPI would not decelerate toward yearend. Stronger-than-expected US core CPI would put significant upward pressure on Treasury yields. First, long-dated inflation expectations could begin to converge to the breakeven rates in the shorter tenors of the curve (Chart 15). More importantly, the Fed would become more hawkish sooner. This faster policy tightening would lift the OIS curve and result in higher real yields as well. Chart 14Are Inflation Expectations Becoming Unmoored? Chart 15Long-Dated Market-Based Inflation Expectations Still Lag The euro would therefore weaken, and the dollar would rally across the board. European inflationary pressures are limited compared to those of the US. The Eurozone suffers from a larger output gap due to the lagging nature of the European recovery, which more timid fiscal stimulus and Europe’s late start to the vaccination campaign compounded. Consequently, the ECB will not match the Fed’s faster tightening of policy, even in this scenario. Higher US TIPS yields and a stronger dollar would ultimately be deflationary blows to global growth. The dollar would directly tighten EM financial conditions. Higher real yields would destabilize stretched equity prices around the world. The resulting shock to global financial conditions would cause a major slowdown in global growth to occur much earlier than we currently foresee. While yields would rise at first, they would end 2022 at much lower levels than we currently expect because of this deflationary outcome. This combination would be very harmful to European equities, both in absolute terms and relative to the global benchmark. At first, European stocks would probably briefly fare well. Once investors begin to digest the deleterious impact of stronger inflation on global growth, however, the pro-cyclical European market will begin to suffer. Tighter EM financial conditions and underperforming financials will only accentuate the European stock market ills. Much stronger inflation is a risk and not a base case for now, because the current bout of inflation is transitory. The supply-side of the economy is already responding to the signal created by higher prices. Firms are set to increase their inventories and capex intentions are moving higher. Moreover, many of the bottlenecks constraining global supply chains will loosen, as the global economy re-opens in response to the international vaccination campaign. Additionally, current labor shortages in low-wage industry will also dissipate, once the $300 weekly support by the US government ends after the month of September. Thus, the supply of labor will also pick up in the fourth quarter of 2021. Moreover, the Fed could remain tolerant of an inflation overshoot, which would limit the pain of its impact. That being said, there is a real inflation risk due to the global deterioration in the dependency ratio and the shift to the left in terms of the economic preferences of the median voter. However, this danger is backdated to 2024 and beyond, once global labor markets are closer to full employment. Investment Implication There is little protection in our current set of recommendations against this risk, but this is a smaller threat than the previous two risks. However, when viewed alongside the first and second set of risks, the combined probability of a dangerous outcome for the market in general and for Europe in particular has grown compared to six months ago. Thus, while the jury is still out on these questions, it makes sense to de-risk portfolios temporarily, until the reward-to-risk ratio has once again improved. Hence, a tactical neutral stance on cyclical relative to defensive equities and on Europe relative to the rest of the world is appropriate for now. Will The ECB Join The BoC? At its April meeting, the Bank of Canada jolted the market by announcing a much earlier-than-anticipated start to its tapering program. We do not believe that the ECB will follow up at its June meeting. In a recent report, BCA’s Global Fixed-Income Strategy team highlighted the constraint that will prevent the ECB from adjusting policy next month.  The main factors are as follows: The results from the ECB’s strategic review have yet to be announced. Adjusting policy before an eventual change in the inflation mandate of the central banks creates an unnecessary risk of policy whipsaw. Yet another policy flip-flop would further mar the ECB’s credibility. Chart 16The ECB Does Not Want To Upend Credit Growth Loan growth in Europe is slowing down, led by France. However, Italian credit activity is improving in response to the generous TLTRO uptake in the southern economy (Chart 16). At this juncture, a rapid policy adjustment would threaten the recovery, while Europe has yet to re-open. Italian spreads remain fragile. The ECB’s asset purchases are an important contributor to the easing in financial conditions across the periphery. The recent 25bps widening in the BTP-Bund spread is a reminder that European fixed-income markets are not fully tension-free. Thus, a rapid removal of support could prompt a reflex selloff in Italian bonds. The subsequent tightening in financial conditions would unnecessarily feed deflationary pressures in Europe. The euro is strong. If the ECB unsettled the market and removed monetary accommodation as fast or even faster than the Fed, the euro’s rally would suddenly accelerate. This would generate a powerful deflationary shock for Europe that would force the ECB to adjust its inflation forecasts downward. Chart 17Especially When China Creates A Threat The Chinese economy is weak, which increases uncertainty around European economic outcome via the trade channel (Chart 17). Instead, the meetings in the back half of the year are much more likely candidates for the ECB to begin talking about its tapering program. By then, the European economic re-opening will have taken place, to which growth will have responded. The results of the ECB’s strategic reviews will have been announced. Finally, plans will have been ratified for the usage of NGEU funds across the EU, and thus, fiscal clarity will improve. Even if the ECB starts talking before yearend of terminating the PEPP, its communications will indicate that the program’s full envelope will be deployed within the original time frame. Thus, the PEPP program will be in place until the end of March 2022. Moreover, to prevent a rapid deterioration in bank credit, the ECB will continue to provide generous financing to deposit-taking institutions via the TLTRO program. Under these circumstances, the ECB is unlikely to increase its deposit rate before 2014. These views imply that the ECB policy tightening (both on the balance sheet and interest rate fronts) will lag behind that of the Fed, the BoE, the Norges Bank, and the Riksbank. Only the BoJ and the SNB will move after the ECB. The continued involvement of the ECB in the European fixed-income market, along with the elevated likelihood that we remain years away from the first rate hike, confirms that an overweight stance in European peripheral bonds is appropriate. We also continue to overweight corporate credit within European fixed-income portfolios. Our fixed-income colleagues also share these views. Chart 18Justifying A Box Trade Finally, the German yield curve should steepen compared to that of the US. Even if the ECB lags well behind the Fed when it comes to tightening policy, the current terminal rate proxy embedded in the EONIA curve is too low (Chart 18). Meanwhile, the earlier lift-off date for interest rates in the US relative to the Euro Area points to rising short rates west of the Atlantic. In this context, a box trade buying steepeners in Europe and flatteners in the US is appropriate, especially since it generates a positive carry of 167 bps (hedged into USD).   Mathieu Savary, Chief European Investment Strategist Mathieu@bcaresearch.com Cyclical Recommendations Structural Recommendations Currency Performance Fixed Income Performance Government Bonds Corporate Bonds Equity Performance Major Stock Indices Geographic Performance Sector Performance Closed Trades

Special Report

Highlights The selloff in crypto-currencies on May 19 may be overblown but the risk of government intervention is a rising headwind for this asset class. While environmental concerns are a threat to Bitcoin, the entire crypto-currency complex faces a looming confrontation over governance. Digital currencies are a natural evolution of money following coinage and paper. Moreover a sizable body of consumers is skeptical of governments and traditional banking. Loose monetary conditions are fueling a speculative mania. However, governments fought for centuries to gain a monopoly over money. As crypto-currencies become more popular, governments will step in to regulate and restrict them. Central bank digital currencies (CBDCs) threaten to remove the speed and transactional advantage of crypto-currencies, leaving privacy/anonymity as their main use-case. Feature The prefix “crypto” derives from the Greek kruptos or “hidden.” This etymology highlights one of the biggest problems confronting the crypto-currency craze in financial markets today. Speed and anonymity are the greatest assets of the digital tokens. But the former advantage is being eroded by competitors while the latter is becoming a political liability. In the 2020s, governments are growing stronger and more interventionist, not weaker and more laissez faire. Chart 1Loose Money Fuels Crypto Mania Bitcoin and rival crypto-currency Ethereum fell by 29.5% and 43.2% in intra-day trading on May 19, only to finish the day down by 13.8% and 27.2%, respectively. The market panicked on news that China’s central bank had banned firms from handling transactions in crypto-currencies. What really happened was that China’s National Internet Finance Association, China Banking Association, and Payment and Clearing Association issued a statement merely reiterating a 2013 and 2017 policy that already banned firms from handling transactions in crypto-currencies. These three institutions also warned about financial speculation regarding crypto-currencies.1 The crypto market suffered a spike in volatility because it is in the midst of a speculative mania. In the last five years, total market capitalization of crypto-currencies has risen from around $7 billion to $2.3 trillion,2 recording a 34,000% gain. Some crypto-currencies have even recorded returns in excess of that number over a shorter horizon. Price gains have been driven by retail buyers who may or may not know much about this new asset class (Chart 1). Prior to the May 19 selloff, prices had grown overextended and recent concerns over the environment, sustainability, and governance (ESG) had shaken confidence in Bitcoin and its peers. Chinese authorities have already banned financial firms from providing crypto services in a bid to deter ownership of crypto-currencies. And China is not alone. The latest market jitters are a warning sign that government interference in the crypto-currency market is a real threat. Regulation and sovereign-issued digital currencies are starting to enter the fray. While ultra-dovish central bank policies are not changing soon, and therefore crypto-currency price bubbles can continue to grow, crypto-currencies will remain subject to extreme volatility and precipitous crashes. In this report we argue that the fundamental problem with crypto-currencies is that they threaten the economic sovereignty of nation-states. Environmental degradation, financial instability, and black market crime, and other concerns about cryptos have varying degrees of merit. But they provide governments with ample motivation to pursue a much deeper interest in regulating a technological innovation that has the power to undermine state influence over the economy and society. Government scrutiny is a legitimate reason for crypto buyers to turn sellers. Does The World Need Crypto-Currencies? Broadly speaking, there are two primary justifications for crypto-currencies, centered on a transactional basis: speed and privacy/anonymity. The crux of crypto-currency creation rests on these two use cases.3 The speed of crypto-currencies comes from their ability to increase efficiency in local and global payment systems by facilitating financial transactions without the need of a third party (e.g. a financial institution). Cross-border settlement of traditional (fiat) currency transactions processed through the standard SWIFT communications system takes up to two business days. Most transactions involving crypto-currencies over a blockchain network are realized in less than an hour, cross-border or not.4 The fees involved with third-party payments are often more expensive than transacting with crypto-currencies. Simply put, excluding the “middleman” can save money. This is a selling point in a global market that expects to see retail cross-border transactions reach $3.5 trillion by the end of 2021, of which up to 5% are associated with transaction-based fees.5 But this breakthrough in payment system technology can be overstated and is not the main reason for using crypto-currency. Speculation drives current use, especially given that there is speculative behavior even among those who believe that cryptos are safe-haven assets or promising long-term investments (Chart 2). Chart 2Crypto-Currency Use Driven By Speculation Chart 3Consumers Growing Skeptical Of Banking Regulation If a person wants to buy an item from a company in a distant country, that person could use a crypto-currency just as he or she could use a credit card. Both parties would have a secure medium of exchange but, unlike with a credit card, both would avoid using fiat currencies. Neither party could conduct the same transaction using gold or silver. The crucial premise is the existence of an online community of individuals and firms who for one reason or another want to avoid fiat currencies. From a descriptive point of view, the crypto-currency phenomenon implies a lack of trust in modern governments, or at least their monetary systems, and an assertion of individual property rights. The list of crypto-currencies continues to grow. To date, there are approximately 9,800 of them. Some are trying to prove their economic value or use, while others have been created with no intended purpose or problem to solve. Even so, there has yet to be a crypto-currency that overwhelms the use of slower fiat money. In a recent Special Report, BCA Research’s Foreign Exchange Strategist Chester Ntonifor showed that crypto-currencies still have a long way to go to have a chance at replacing fiat monies. While crypto-currencies are showing signs of significant improvement as mediums of exchange, they still fall short as stores of value and units of account. The other primary case for crypto-currencies is privacy or anonymity. The bypassing of intermediaries implies a greater control of funds by the two parties of a transaction. Crypto-currencies are said to be more “private” compared to fiat money. Fiat money is controlled by governments and banks while crypto-currencies have only “owners.” Crypto-currencies are anonymous because they are stored in digital wallets with alphanumeric sequences – there is a limited personal data trail that follows crypto-currency compared to those of electronic fiat currency transactions. In a post-9/11, post-GFC, post-COVID world where a sizable body of consumers is growing more skeptical of government surveillance and regulation and banking industry practices (Chart 3), crypto-currencies give users more than just a means to transact with. However, privacy is not the same as security. Hacking and fraud can affect cryptos as well as other forms of money and attacks will increase with the value of the currencies. Bitcoin At The Helm Of Crypto-Currency Market Chart 4Bitcoin Slows Bitcoin has cemented its status as the number one currency in the crypto-verse.6 It is considered to be the first crypto-currency created, it is the most widely accepted, it is touted as a store of value or “digital gold,” and it is the most featured in quoting alternative crypto-currency pairs across crypto exchanges. As it stands, Bitcoin accounts for around 42% of total crypto-currency market capitalization.7 This share has declined from around 65% at the start of 2021 on the back of the frenzied rise of several alternative coins.8 But rising risks to Bitcoin’s standing will cause the entire crypto-market to retreat. In a Special Report penned in February, BCA Research’s Chief Global Strategist Peter Berezin argued that Bitcoin is more of a trend than a solution and that its usefulness is diminishing. Bitcoin’s transaction speed is slowing and its transaction cost is rising (Chart 4). Slowing speed and rising cost on the Bitcoin network are linked to a scalability problem. The crypto-currency’s network has a limited rate at which it can process transactions related to the fact that records (or “blocks”) in the Bitcoin blockchain are limited in size and frequency. This means that one of its fundamental justifications, transactional speed, will become less attractive over time, should the network not address these issues. Bitcoin also consumes a significant amount of energy, a controversy that is gaining traction in the crypto-currency market after Elon Musk, the “techno-king” of Tesla, cited environmental concerns in reversing his decision to accept Bitcoin payment for his company’s electric vehicles. Energy consumption rises as more coins are mined, since mining each new Bitcoin becomes more computer-power intensive. The need for computing power and energy will continue to increase until all 21 million Bitcoins (total supply) are mined, which is currently estimated to occur by the year 2140. Strikingly, the energy needed to mine Bitcoin over a year are comparable to a small country’s annual power consumption, such as Sweden or Argentina (Chart 5). Chart 5Bitcoin Consumes More Energy Than A Small Country … Bitcoin also generates significant quantities of electronic waste (Chart 6). Chart 6… And Generates A Lot Of Electronic Waste Bitcoin mining is heavily domiciled in China, which accounts for 65% of global mining activity (Figure 1). China’s energy mix is dominated by coal power, which makes up approximately 65% of the country’s total energy mix even after a decade of aggressive state-led efforts to reduce coal reliance. Of this, coal powered energy makes up approximately 60% of Bitcoin’s energy mix in China.9 With several countries aiming to minimize carbon emissions, and with approximately 60% of Bitcoin mining powered by coal-fired energy globally,10 Bitcoin imposes a major negative environmental impact. Figure 1Bitcoin Mining Well Anchored In Asia Bitcoin does not shape up well when compared to gold’s energy intensity either. Bitcoin mining now consumes more energy than gold mining over a single year. While the energy difference is not large, the economic value is. Gold’s energy consumption to economic value trade-off is lower than that of Bitcoin. The production value of gold in 2020 was close to $200 billion, while Bitcoin was measured at less than $25 billion (Chart 7A). On a one-to-one basis, gold even has a lower carbon footprint than Bitcoin (Chart 7B). Chart 7AGold Outshines Bitcoin On Production Value And Carbon Footprint Chart 7BGold Outshines Bitcoin On Production Value And Carbon Footprint Crypto-currency energy consumption and carbon footprint will attract the attention of government regulators. Of course, not all crypto-currencies are heavy polluters. But if the supply of cryptos is constrained by mining difficulties then they will require a lot of energy. If the supply is not constrained then the price will be low. Government Regulation Is Coming Environmental concerns point to the single greatest threat to crypto-currencies – the Leviathan, i.e. the state. In this sense the crypto market’s wild fluctuations on May 19, at the mere whiff of tougher Chinese regulation, are a sign of what is to come. Governments around the world have so far left crypto-currencies largely unregulated but this laissez-faire attitude is already changing. Environmental regulation has already been mentioned. Governments will also be eager to expand their regulatory powers to “protect” consumers, businesses, and banks from extreme volatility in crypto markets. But investors will underrate the regulatory threat if they focus on these issues. At the most basic level, governments around the world will not sit idly by and lose what could become significant control of their monetary systems. The ability to establish and control legal tender is a critical part of economic sovereignty. Governments won control of the printing press over centuries and will not cede that control lightly. If crypto-currencies are adopted widely, then finance ministries and central banks will lose their ability to manipulate the money supply and the general level of prices effectively. Politicians will lose the ability to stimulate the economy or keep inflation in check. Most importantly, while one may view such threats as overblown, it is governments, not other organizations, that will make the critical judgment on whether crypto-currencies threaten their sovereignty. Throughout the world, most crypto-currency exchanges are regulated to prevent money laundering. Crypto-currencies are not legal tender and, aside from Bitcoin, their use is mostly banned in China (Table 1). However, more specialized regulation that targets energy and economic use has yet to be brought into law across the world. Table 1World Governments Will Not Relinquish Hard-Fought Monopolies Over Money Supply In China, initial coin offerings (ICOs – the equivalent of an initial public offering on the stock market) and trading platforms are banned from engaging in exchanges between the yuan and crypto-currencies or tokens. In fact, China recognizes crypto-currencies only as virtual commodities or virtual property. India is another country where exchanges and ICOs are banned. While crypto-currencies are not banned, they are not legal tender. Indian policymakers have recently proposed banning crypto-currencies, however. The proposed legislation is one of the world’s strictest policies against crypto-currencies. It would criminalize possession, issuance, mining, trading, and transferring crypto-assets. If the ban becomes law, India would be the first major economy to make holding crypto-currency illegal. Even China, which has banned mining and trading, does not penalize possession. In the US, Secretary of the Treasury Janet Yellen has already expressed concerns regarding the illicit use of cryptos for supposed criminal gain.11 She is in alignment with European Central Bank President Christine Lagarde. Because of the anonymity of crypto-currencies, identifying users behind illicit transactions is difficult. This means regulators face headwinds in identifying transactions that are made for criminal gain, as compared to fiat transactions. Governments have long dealt with the anonymity of cash but they have ways of monitoring bank accounts and paper bills. Crypto-currencies are beyond their immediate sight of control and therefore will attract growing scrutiny and legislative action in this regard. The Colonial Pipeline ransomware attack on May 7, which temporarily shuttered about 45% of the fuel supply line for the eastern United States, illustrates the point. The DarkSide group of hackers who orchestrated the attack demanded a ransom payment of $4.4 million worth of Bitcoin, which Colonial Pipeline paid them on May 7. Shortly thereafter, unspecified “law enforcement agencies” clawed back the $4.4 million from the hackers’ account (transferring it to an unknown address) and DarkSide lost access to its payment server, DOS servers, and blog. This episode should not be underrated. It was a successful, large-scale cyber-attack on critical infrastructure in the world’s most powerful country. It highlighted the illicit uses to which crypto-currencies can be put. True, criminals demand ransoms in fiat money as well – and many crypto-currency operators will distance themselves from the criminal underworld. Nevertheless governments will give little slack to an emerging technology that presents big new law enforcement challenges and is not widely used by the general public. Ultimately governments will pursue their sovereign interests in controlling money, the economy, and trade, listening to their banking lobby, expanding their remit to “protect” consumers, and cracking down on illicit activity. Governments are not capable of abolishing crypto-currencies altogether, or the underlying technology of blockchain. But they will play a large and growing role in regulating them. Central Banks Advancing On Digital Currencies Central bank digital currencies (CBDCs) will leave crypto-currencies in the realm of speculative assets. CBDCs are a form of digital money denominated in a country’s national unit of account and represent a liability on a central bank’s balance sheet. This is different from current e-money that represents a claim on a private financial institution’s balance sheet. It is also different from crypto-currencies, because there is a central authority behind a CBDC, unlike with crypto-currencies due to their decentralized nature. In China, the People’s Bank of China (PBoC) has suggested its rollout of a digital yuan is “ready” despite no release to date. Beta testing is ongoing in several provinces. The PBoC’s justification for a digital yuan comes from China’s growing cashless economy. The transition away from cash is largely thanks to mobile payment platforms like Alibaba’s Alipay and Tencent’s WeChat Pay, which, between the two of them, control almost the entire mobile payments market of some 850 million users. There is a significant amount of systemic risk in this system – one reason why Chinese authorities have recently subjected these companies to new scrutiny and regulation. Should Alibaba or Tencent go bankrupt, the local payment system will crash. The PBoC’s efforts will increase competition in the local payments space and reduce this systemic risk. Policymakers are also concerned that as Chinese citizens choose to hold their money in digital wallets provided by Alibaba and Tencent instead of bank accounts, liquidity is being drained from the traditional banking system, putting deposit levels at banks under strain, and posing risks to liability matching. The digital yuan will still involve a third party, unlike crypto-currencies which do not. Doing away with commercial banks is not a reality – indeed the Chinese Communist Party seeks to buttress the state-owned commercial banks in order to maintain control of the economy. What the digital yuan does, and other CBDCs will do too, is utilize blockchain technology, which is faster and more secure than traditional payment networks. In the US, the Fed has been studying the viability of a CBDC US dollar. The Fed has stated that it is carefully exploring whether a CBDC will lead to “safer, less expensive, faster, or otherwise more efficient payments.” While the Fed has yet to find a single standout case for a CBDC US Dollar, Fed Chair Jerome Powell said last year that the US has a “competitive payments market” with “fast and cheap services, particularly in comparison to other nations exploring a CBDC.” To date, the Fed’s observation is that many of the challenges that CBDCs hope to address do not apply to the US, including disuse of physical cash, narrow reach or high concentration of banking, and weak infrastructure for payment systems. Rather, the Fed is more focused on developing the FedNow real-time payment system for private banks. This is much the same as in Europe, where physical cash still plays a major role in day-to-day economic activity and where local payment systems are fast and secure. But central banks around the world continue to engage in work centered around CBDCs (Charts 8A and 8B) – and China’s progress will encourage others to move faster. Advanced economies are mostly interested in creating a safer and more efficient payment system, while emerging and developed economies have interest across several areas such as financial stability, monetary policy setting, and inclusiveness of banking, as well as efficiency and safety (Chart 9). CBDCs are especially attractive to emerging market policy makers at targeting those who lack access to traditional banking. Chart 8ACentral Banks Advancing On CBDC Work Chart 8BCentral Banks Advancing On CBDC Work Chart 9Central Banks CBDC Interest Areas In remote areas, access to banking is scarce and expensive. CBDCs can help solve this problem. Individuals would have CBDC accounts directly on a central bank ledger. They could then access their money and transact through a digital wallet application that is linked to the CBDC account. Giving people access to digital currency would allow them to transact quickly, in remote settings, without the need of hard currency. Monetary policy transmission is also better in advanced economies. In emerging markets, there are bottlenecks in local financial markets. Looser central monetary policy does not always translate into cheaper financing across the economy. In remote and poverty stricken areas, monetary policy transmission is sticky, meaning high costs of borrowing can persist even through accommodative policy cycles. This is a smaller issue in advanced economies. Payment systems in advanced economies are due an overhaul in security and efficiency, and CBDCs and blockchain technology will provide this. CBDCs will prove to be just as efficient to transact with as any crypto-currencies available today. CBDCs will also be legal tender and accepted by all vendors. The anonymity factor will be lost but this will not be a problem for most users (whereas legal issues will become a problem for crypto-currencies). The probability of central banks issuing CBDCs in both the short and medium term, both in the retail and wholesale space, is rising. If advanced economies like those of the G7 issue CBDCs soon, policy makers will undoubtedly ensure the use of it over the currently circulating and partially accepted crypto-currencies. The endgame will leave crypto-currencies in the highly speculative asset class, perhaps even in the black market where anonymity is valued for transactions that wish not to be tracked. Investment Takeaways Prices of crypto-currencies may continue to rise given sky-high fiat money creation amid the COVID pandemic and ultra-low interest rates. Digitalization is the natural next step in the evolution of money from precious metals to paper banknotes to electronic coin. But the market leader, Bitcoin, is encountering more headwinds. The primary case for the use of Bitcoin is challenged due to slowing transaction speeds and rising transaction costs. The virtual currency is primarily mined using coal-powered energy, resulting in growing scrutiny from governments and consumers. Government regulation is entering the ring and policymakers will take an increasingly heavy-handed role in trying to ensure that cryptos do not undermine economic sovereignty, financial stability, and law and order. When central banks begin to rollout digital currencies, especially those domiciled in advanced economies, crypto-currencies as medium of exchange will lose much of their allure. Crypto-currencies will remain as anti-fiat currencies and speculative assets. Risks To The View Given the controversy surrounding crypto-currencies, it is only fair to state outright the risks to our view. We would also recommend clients read our colleague Dhaval Joshi’s latest bullish take on Bitcoin. First, scaling up Bitcoin’s network and processing transactions in batches instead of single transactions will resolve transaction time and cost risks, restoring efficiency. This is a clear solution to efficiency concerns. However, scaling and batching transactions are not on the immediate horizon of Bitcoin developers. Bitcoin’s network will still need to undergo another “halving” in order for this risk to subside and for the network to scale. A halving of the network will only occur again in 2024.12 Second, on the environment: Bitcoin mining is not solely dependent on fossil fuel energy that gives it a “dirty” footprint. Renewables already make up some 25% of Bitcoin mining. Increasing the use of renewables in Bitcoin’s energy mix will help lower its environmental impact. However, this is easier said than done. Global renewable energy has yet to scale up to a point where it can consistently out-supply existing fossil-fuel energy. Mining hardware also has its associated carbon footprint that would need to be addressed. And location matters too. Crypto-currency mining farms are large-scale projects. Simply uprooting operations to a country that could lower the carbon footprint of a mining farm or two is not viable due to the costs involved. Hence crypto-currency mining will probably continue to be a “dirty” operation but a rapid shift to renewables would challenge our thesis. Bitcoin’s network is also based off a “proof of work” protocol. Miners must prove that a certain amount of computational effort has been expended for confirming blocks on the network, allowing transactions to be processed. Proof of work is energy intensive. Other crypto-currencies, like Ethereum, will adopt a “proof of stake” protocol. Simply put, transactions are confirmed by users and their stake in the associated crypto-currency. Proof of stake is less energy intensive compared to proof of work. Third, as to government regulation, the longer policymakers take to enact legislation targeting crypto-currencies, the larger their market will grow. Regulation in China and India may set a benchmark for major economies but not all will follow in the Asian giants’ footsteps. Some governments have been slow to study crypto-currencies, meaning legislation aimed at governing or regulating them may still be long in coming. Innovation is a good thing and free economies will not wish to restrain crypto-currencies or blockchain technology unduly, for fear of missing out. Fourth, on CBDCs, some central banks may only adopt them based on their respective economic needs. However, rising crypto-currency populism drives associated economic risks which can force the hands of central banks to adopt CBDCs in lieu of said needs. Each country faces unique challenges. Some central banks may not want to be left behind even if they believe their policy framework is facilitating economic activity efficiently. While the Fed has stated that it will not adopt a CBDC for the primary reason of ensuring payment security since it believes it already has a safe system in place, this view will change. The Fed could justify a move to a CBDC US dollar on the single basis of transitioning to a more sophisticated technology for the future. The Fed will not want to be caught behind the curve considering the PBoC is priming its digital yuan for release soon. Technological leadership is a strategic imperative of the United States and that imperative applies to financial technology as well as other areas.   Guy Russell Research Analyst GuyR@bcaresearch.com Matt Gertken Vice President Geopolitical Strategy mattg@bcaresearch.com Footnotes 1 Muyao Shen, “China Reiterates Crypto Bans From 2013 and 2017”, coindesk, May 18, 2021, coindesk.com. 2 As of May 11, 2021. 3 There are several other reasons or “problems” that crypto-currencies are created for or to solve, but speed and privacy form the basis of crypto-currencies first coming into existence. 4 Not all crypto-currencies transact in less than an hour. But there are many that transact in several minutes and in some cases, mere seconds. As the leading crypto-currency, Bitcoin takes approximately one hour for a transaction to be fully verified over its network. 5 “McKinsey’s Global Banking Annual Review”, McKinsey, Dec. 9, 2020, mckinsey.com. 6 We use Bitcoin as an example to understand the risk and impact of forthcoming government regulation and competition. Because of Bitcoin’s status, any significant risks that threaten the crypto-currency’s standing as the number one currency will threaten the entire market. 7 As of May 20, 2021. Figure varies daily. See www.coinmarketcap.com for more information. 8 Alternative currencies such as Ethereum, Ripple, Binance Coin, Dogecoin, and Cardano have chipped away at Bitcoin’s crypto-market dominance through 2021. 9 According to The Center For Alternative Finance, The University Of Cambridge. 10 According to The Center For Alternative Finance, The University Of Cambridge. 11 Data on the use of crypto-currencies for illicit activitiessays otherwise. Of all crypto-currency transactions, it is estimated that only 2.1% are used for illicit activities. See “2021 Crypto Crime Report”, Chainalysis, chainalysis.com. 12 A Bitcoin halving is when the reward for mining Bitcoin transactions is cut in half. This event also cuts Bitcoin's inflation rate and the rate at which new Bitcoins enter circulation, in half. Bitcoin last halved on May 11, 2020.