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Highlights One of the biggest mistakes in finance is to equate risk with volatility. The correct measure of risk is the negative skew in payoff distributions. If 10-year bond yields should rise another 40 bps, equities would become riskier than bonds and elevated equity valuations would become much harder to sustain. This would be the point at which to scale back equity exposure. The corollary for bonds is that 10-year yields cannot sustainably rise more than 40bps before experiencing a tradeable reversal. Feature It is the crucial question that all investors should ask at all times. What is the relative risk of the two major asset classes - bonds and equities - and are their relative return prospects commensurate with the relative risk? Chart of the WeekBelow A 2% Yield, 10-Year Bonds Are Riskier Than Equities But first, there is an even more fundamental question: what do we mean by risk? Conventional wisdom says that the risk of an investment is captured by its volatility. Indeed, through instruments such as the VIX futures and currency volatility options, volatility has become a multi-trillion dollar asset-class in its own right. Therefore, volatility must measure the risk of an investment, right? Wrong. The Biggest Mistake In Finance As a measure of risk, volatility is clearly wrong. Volatility regards price gains in exactly the same way as it regards price losses. But investors don't mind gains, they only mind losses! Consider an investment whose price moves alternately sideways and sharply higher. The maths would say that the returns have high volatility, implying that the investment is very risky. In truth though, the investment is highly desirable and 'risk-free' - because its price never declines. At our recent New York conference, Nobel Laureate Daniel Kahneman warned that one of the biggest mistakes in finance is to equate risk with volatility. After decades of empirical and theoretical studies - which culminated in the 2002 Nobel Prize for Economics - Kahneman proved that investors are not concerned about the symmetrical fluctuations in investment returns. Instead, they are concerned about the asymmetry - or skew - in payoff distributions. Kahneman explained the underlying psychology. "People are limited in their ability to comprehend and evaluate extreme probabilities, so highly unlikely events are overweighted." If the payoff distribution is symmetric, the overweighting of unlikely events in the loss tail and the gain tail exactly cancels out. But if the distribution is asymmetric, the longer tail determines the perceived attractiveness of the payoff. Where the longer tail is on the gain side, the distribution is said to have positive skew (Figure I-1). The classic example is a lottery. When people play the lottery, their loss is limited to the ticket price, but their gain could be tens of millions. People perceive the positive skew as attractive because they overweight the minuscule probability of becoming a millionaire. As a result, they overpay for the lottery ticket versus its expected value. Where the longer tail is on the loss side, the distribution is said to have negative skew (Figure I-2). This is like a lottery in reverse. The gain size is relatively limited, but the loss could be very large. People perceive the negative skew as unattractive because they overweight the probability of a large loss. As a result, they demand overpayment to take it on. Figure I-1People Like Positive Skew Figure I-2People Dislike Negative Skew For investments with negative skew, this overpayment takes the form of an excess return demanded from the market - a 'risk premium' - versus investments with less negative skew. Are Bonds A Greater Risk Than Equities? We are now in a position to tackle the question in the title. To determine whether bonds are riskier than equities or vice-versa, we must compare the skews of their return profiles.1 The important point is that for a bond, the skew of its return profile changes with its yield. At yields above 2.5%, 10-year bond returns show no skew. Worst losses broadly equal best gains. However, when yields drop below 2%, returns start to exhibit negative skew (Chart I-2). And at yields below 1%, the negative skew becomes extreme. Chart I-2Bond Risk Increases At ##br##Low Bond Yields Chart I-3Equity Risk Does Not Increase At##br## Low Bond Yields The reason is obvious. Central banks accept that there is a 'lower bound' for policy interest rates - perhaps slightly negative - below which there would be an exodus of bank deposits. The limit also marks the lower bound for bond yields. Close to this lower bound for yields, bond mathematics necessarily creates a negatively skewed return profile. Simply put, prices have little upside, but they have a lot of downside! Chart I-4A 40Bps Rise In Yields Would Make Global ##br##Bonds Riskier Than Equities Turning to equities, the empirical evidence shows that equity returns always exhibit negative skew. Worst losses are typically around 1.5 times the size of best gains (Chart I-3). But the negative skew of equity returns is largely independent of the bond yield. The upshot is that there is a crossover bond yield below which the negative skew on 10-year bonds exceeds that on equities. This crossover bond yield is around 2%. In negative skew terms, we can say that at a 10-year bond yield below 2%, 10-year bonds are riskier than equities. And at a yield above 2%, equities are riskier than 10-year bonds (Chart of the Week). So in negative skew terms, 10-year bonds are riskier investments than equities in Europe and in Japan. But equities are riskier investments than 10-year bonds in the United States. Still, given that developed financial markets tend to move en masse, the relationship that is most significant is the aggregate one. At a global level, 10-year bond yields are 40bps below the crossover yield at which equities become riskier than bonds (Chart I-4). QE Distorted The Relative Valuation Of Equities Versus Bonds Which segues us neatly to today's ECB monetary policy meeting. Many people, worried about the end of QE, point out that the $10 trillion of bonds that the 'big four'2 central banks have bought is not far short of the size of the euro area economy. However, in the context of a global fixed income market of $220 trillion,3 $10 trillion of buying is small change. For the $220 trillion global bond and bank loan complex, the much more significant driver of yields has been the expected path of policy interest rates. As ECB Chief Economist Peter Praet put it, serial QE has been nothing more than "a signalling channel which reinforces the credibility of forward guidance on (ultra-low) policy rates." Chart I-5A Promise To Keep The Policy Rate Ultra-Low ##br##Pulls Down Bond Yields Central bankers know that QE depressed bond yields by signalling an extended period of ultra-low interest rates (Chart I-5). They also know that if the prospective return on bonds drops, so must the prospective return on competing investments such as equities. Thereby, the absolute valuations of bonds and equities both rise. However, one largely overlooked impact of QE - even by central bankers - has been the effect on the relative valuation of equities versus bonds. To repeat, when 10-year bond yields drop below 2%, their return distribution becomes more negatively skewed than that for equities. But if bonds become riskier investments, the 'risk premium' (excess return) on equities must disappear. Meaning equity valuations and prices get a second boost, compressing the prospective 10-year equity return to become 'bond-like'. Is this the case? Unlike for 10-year bonds, we do not know the 10-year prospective return from equities with certainty. However, we can get a good estimate from today's starting valuation. But which valuation metric to use? We are cautious of using profit based metrics as these will be flattered by the advanced position in the business cycle as well as the structural uptrend in profit margins. Instead, at an aggregate level, world equity market capitalisation to world GDP has been an excellent predictor of the prospective 10-year return on world equities. Today, this valuation metric is at the same level as in 2000 and 2007, and implies a prospective return of less than 2% a year (Chart I-6). Chart I-6World Equity Market Cap To GDP Implies A Feeble Prospective 10-Year Return Nevertheless, while the global 10-year bond yield stays below 2%, this is a sustainable valuation for equities. Effectively, equities and bonds are offering broadly similar negative skews, and therefore should offer broadly similar prospective returns. However, if 10-year bond yields should rise another 40 bps, equities would become riskier than bonds and elevated equity valuations would become much harder to sustain. Though not there yet, this would be the point when we would scale back equity exposure. The corollary for bonds is that 10-year yields cannot sustainably rise more than 40bps before experiencing a tradeable reversal. Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com 1 One simple way to quantify this skew is to find an extended period of time in which the price ended where it started, and then to calculate the period's worst 3-month loss as a multiple of the best 3-month gain. We define skew = -ln(worst 3-month loss / best 3-month gain) using log returns for 3-month loss and 3-month gain. 2 The Federal Reserve, ECB, Bank of Japan and Bank of England. 3 Source: The Institute of International Finance (IIF) https://www.iif.com/publication/global-debt-monitor/global-debt-monitor-june-2017. Fractal Trading Model* This week's trade is to position for an underperformance of the Japanese energy sector (led by JXTG Holdings And Inpex) versus the overall Japanese market. This is a longer trade than normal with a maximum duration of 26 weeks. Set a profit-target at 8% with a symmetrical stop-loss. For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment's fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. Chart I-7 The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions. * For more details please see the European Investment Strategy Special Report "Fractals, Liquidity & A Trading Model," dated December 11, 2014, available at eis.bcaresearch.com Fractal Trading Model Recommendations Equities Bond & Interest Rates Currency & Other Positions Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch##br## - Interest Rate Expectations Chart II-6Indicators To Watch##br## - Interest Rate Expectations Chart II-7Indicators To Watch##br## - Interest Rate Expectations Chart II-8Indicators To Watch##br## - Interest Rate Expectations
Special Report Media reports warn of a "Robot Apocalypse" that is already laying waste to jobs and depressing wages on a broad scale. Technological advance in the past has not prevented improving living standards or led to ever rising joblessness over the decades, but pessimists argue that recent advances are different. The issue is important for financial markets. If structural factors such as automation are holding back inflation by more than in previous decades, then the Fed will have to proceed very slowly in raising rates. We see no compelling evidence that the displacement effect of emerging technologies is any stronger than in the past. Robot usage has had a modest positive impact on overall productivity. Despite this contribution, overall productivity growth has been dismal over the past decade. If automation is increasing 'exponentially' and displacing workers on a broad scale as some claim, one would expect to see accelerating productivity growth, robust capital spending and more violent shifts in occupational shares. Exactly the opposite has occurred. Periods of strong growth in automation have historically been associated with robust, not lackluster, wage gains, contrary to the consensus view. The Fed was successful in meeting the 2% inflation target on average from 2000 to 2007, when the impact of the IT revolution on productivity (and costs) was stronger than that of robot automation today. This and other evidence suggest that it is difficult to make the case that robots will make it tougher for central banks to reach their inflation goals than did previous technological breakthroughs. For investors, this means that we cannot rely on automation to keep inflation depressed irrespective of how tight labor markets become. Recent breakthroughs in technology are awe-inspiring and unsettling. These advances are viewed with great trepidation by many because of the potential to replace humans in the production process. Hype over robots is particularly shrill. Media reports warn of a "Robot Apocalypse" that is already laying waste to jobs and depressing wages on a broad scale. In the first in our series of Special Reports focusing on the structural factors that might be preventing central banks from reaching their inflation targets, we demonstrated that the impact of Amazon is overstated in the press. We estimated that E-commerce is depressing inflation in the U.S. by a mere 0.1 to 0.2 percentage points. This Special Report tackles the impact of automation. We are optimistic that robot technology and artificial intelligence will significantly boost future productivity, and thus reduce costs. But, is there any evidence at the macro level that robot usage has been more deflationary than technological breakthroughs in the past and is, thus, a major driver of the low inflation rates we observe today across the major countries? The question matters, especially for the outlook for central bank policy and the bond market. If structural factors are indeed holding back inflation by more than in previous decades, then the Fed will have to proceed very slowly in raising rates. However, if low inflation simply reflects long lags between wages and the tightening labor market, then inflation may suddenly lurch to life as it has at the end of past cycles. The bond market is not priced for that scenario. Are Robots Different? A Special Report from BCA's Technology Sector Strategy service suggested that the "robot revolution" could be as transformative as previous General Purpose Technologies (GPT), including the steam engine, electricity and the microchip.1 GPTs are technologies that radically alter the economy's production process and make a major contribution to living standards over time. The term "robot" can have different meanings. The most basic definition is "a device that automatically performs complicated and often repetitive tasks," and this encompasses a broad range of machines: From the Jacquard Loom, which was invented over 200 years ago, on to Numerically Controlled (NC) mills and lathes, pick and place machines used in the manufacture of electronics, Autonomous Vehicles (AVs), and even homicidal robots from the future such as the Terminator. Our Technology Sector report made the case that there is nothing particularly sinister about robots. They are just another chapter in a long history of automation. Nor is the displacement of workers unprecedented. The industrial revolution was about replacing human craft labor with capital (machines), which did high-volume work with better quality and productivity. This freed humans for work which had not yet been automated, along with designing, producing and maintaining the machinery. Agriculture offers a good example. This sector involved over 50% of the U.S. labor force until the late 1800s. Steam and then internal combustion-powered tractors, which can be viewed as "robotic horses," contributed to a massive rise in output-per-man hour. The number of hours worked to produce a bushel of wheat fell by almost 98% from the mid-1800s to 1955. This put a lot of farm hands out of work, but these laborers were absorbed over time in other growing areas of the economy. It is the same story for all other historical technological breakthroughs. Change is stressful for those directly affected, but rising productivity ultimately lifts average living standards. Robots will be no different. As we discuss below, however, the increasing use of robots and AI may have a deeper and longer-lasting impact on inequality. Strong Tailwinds Chart II-1Robots Are Getting Cheaper Factory robots have improved immensely due to cheaper and more capable control and vision systems. As these systems evolve, the abilities of robots to move around their environment while avoiding obstacles will improve, as will their ability to perform increasingly complex tasks. Most importantly, robots are already able to do more than just routine tasks, thus enabling them to replace or aid humans in higher-skilled processes. Robot prices are also falling fast, especially after quality-adjusting the data (Chart II-1). Units are becoming easier to install, program and operate. These trends will help to reduce the barriers-to-entry for the large, untapped, market of small and medium sized enterprises. Robots also offer the ability to do low-volume "customized" production and still keep unit costs low. In the future, self-learning robots will be able to optimize their own performance by analyzing the production of other robots around the world. Robot usage is growing quickly according to data collected by the International Federation of Robotics (IFR) that covers 23 countries. Industrial robot sales worldwide increased to almost 300,000 units in 2016, up 16% from the year before (Chart II-2). The stock of industrial robots globally has grown at an annual average pace of 10% since 2010, reaching slightly more than 1.8 million units in 2016.2 Robot usage is far from evenly distributed across industries. The automotive industry is the major consumer of industrial robots, holding 45% of the total stock in 2016 (Chart II-3). The computer & electronics industry is a distant second at 17%. Metals, chemicals and electrical/electronic appliances comprise the bulk of the remaining stock. Chart II-2Global Robot Usage Chart II-3Global Robot Usage By Industry (2016) As far as countries go, Japan has traditionally been the largest market for robots in the world. However, sales have been in a long-term downtrend and the stock of robots has recently been surpassed by China, which has ramped up robot purchases in recent years (Chart II-4). Robot density, which is the stock of robots per 10 thousand employed in manufacturing, makes it easier to compare robot usage across countries (Chart II-5, panel 2). By this measure, China is not a heavy user of robots compared to other countries. South Korea stands at the top, well above the second-place finishers (Germany and Japan). Large automobile sectors in these three countries explain their high relative robot densities. Chart II-4Stock Of Robots By Country (I) Chart II-5Stock Of Robots By Country (II) (2016) While the growth rate of robot usage is impressive, it is from a very low base (outside of the automotive industry). The average number of robots per 10,000 employees is only 74 for the 23 countries in the IFR database. Robot use is tiny compared to total man hours worked. Chart II-6U.S. Investment In Robots In the U.S., spending on robots is only about 5% of total business spending on equipment and software (Chart II-6). To put this into perspective, U.S. spending on information, communication and technology (ICT) equipment represented 35-40% of total capital equipment spending during the tech boom in the 1990s and early 2000s.3 The bottom line is that there is a lot of hype in the press, but robots are not yet widely used across countries or industries. It will be many years before business spending on robots approaches the scale of the 1990s/2000s IT boom. A Deflationary Impact? As noted above, we view robotics as another chapter in a long history of technological advancements. Pessimists suggest that the latest advances are different because they are inherently more threatening to the overall job market and wage share of total income. If the pessimists are right, what are the theoretical channels though which this would have a greater disinflationary effect relative to previous GPT technologies? Faster Productivity Gains: Enhanced productivity drives down unit labor costs, which may be passed along to other industries (as cheaper inputs) and to the end consumer. More Human Displacement: The jobs created in other areas may be insufficient to replace the jobs displaced by robots, leading to lower aggregate income and spending. The loss of income for labor will simply go to the owners of capital, but the point is that the labor share of income might decline. Deflationary pressures could build as aggregate demand falls short of supply. Even in industries that are slow to automate, just the threat of being replaced by robots may curtail wage demands. Inequality: Some have argued that rising inequality is partly because the spoils of new technologies over the past 20 years have largely gone to the owners of capital. This shift may have undermined aggregate demand because upper income households tend to have a high saving rate, thereby depressing overall aggregate demand and inflationary pressures. The human displacement effect, described above, would exacerbate the inequality effect by transferring income from labor to the owners of capital. 1. Productivity It is difficult to see the benefits of robots on productivity at the economy-wide level. Productivity growth has been abysmal across the major developed countries since the Great Recession, but the productivity slowdown was evident long before Lehman collapsed (Chart II-7). The productivity slowdown continued even as automation using robots accelerated after 2010. Chart II-7Productivity Collapsed Despite Automation Some analysts argue that lackluster productivity is simply a statistical mirage because of the difficulties in measuring output in today's economy. We will not get into the details of the mismeasurement debate here. We encourage interested clients to read a Special Report by the BCA Global Investment Strategy service entitled "Weak Productivity Growth: Don't Blame The Statisticians." 4 Our colleague Peter Berezin makes the case that the unmeasured utility accruing from free internet services is large, but so was the unmeasured utility from antibiotics, radio, indoor plumbing and air conditioning. He argues that the real reason that productivity growth has slowed is that educational attainment has decelerated and businesses have plucked many of the low-hanging fruit made possible by the IT revolution. Cyclical factors stemming from the Great Recession and financial crisis are also to blame, as capital spending has been slow to recover in most of the advanced economies. Some other factors that help to explain the decline in aggregate productivity are provided in Appendix II-1. Nonetheless, the poor aggregate productivity performance does not mean that there are no benefits to using robots. The benefits are evident at the industrial level, where measurement issues are presumably less vexing for statisticians (i.e., it is easier to measure the output of the auto industry, for example, than for the economy as a whole). Chart II-8 plots the level of robot density in 2016 with average annual productivity growth since 2004 for 10 U.S. manufacturing industries (robot density is presented in deciles). A loose positive relationship is apparent. Chart II-8U.S.: Productivity Vs. Robot Density Academic studies estimate that robots have contributed importantly to economy-wide productivity growth. The Centre for Economic and Business Research (CEBR) estimated that labor productivity growth rises by 0.07 to 0.08 percentage points for every 1% rise in the rate of robot density.5 This implies that robots accounted for roughly 10% of the productivity growth experienced since the early 1990s in the major economies. Another study of 14 industries across 17 countries by the Centre for Economic Performance (CEP) found that robots boosted annual productivity growth by 0.36 percentage points over the 1993-2007 period.6 This is impressive because, if this estimate holds true for the U.S., robots' contribution to the 2½% average annual U.S. total productivity growth over the period was 14%. To put the importance of robotics into historical context, its contribution to productivity so far is roughly on par with that of the steam engine (Chart II-9). It falls well short of the 0.6 percentage point annual productivity contribution from the IT revolution. The implication is that, while the overall productivity performance has been dismal since 2007, it would have been even worse in the absence of robots. What does this mean for inflation? According to the "cost push" model of the inflation process, an increase in productivity of 0.36% that is not accompanied by associated wage gains would reduce unit labor costs (ULC) by the same amount. This should trim inflation if the cost savings are passed on to the end consumer, although by less than 0.36% because robots can only depress variable costs, not fixed costs. There indeed appears to be a slight negative relationship between robot density and unit labor costs at the industrial level in the U.S., although the relationship is loose at best (Chart II-10). Chart II-9GPT Contribution To Productivity Chart II-10U.S.: Unit Labor Costs Vs. Robot Density In theory, divergences in productivity across industries should only generate shifts in relative prices, and "cost push" inflation dynamics should only operate in the short term. Most economists believe that inflation is a purely monetary phenomenon in the long run, which means that central banks should be able to offset positive productivity shocks by lowering interest rates enough that aggregate demand keeps up with supply. Indeed, the Fed was successful in meeting the 2% inflation target on average from 2000 to 2007, when the impact of the IT revolution on productivity (and costs) was stronger than that of robot automation today. Also, note that inflation is currently low across the major advanced economies, irrespective of the level of robot intensity (Chart II-11). From this perspective, it is hard to see that robots should take much of the credit for today's low inflation backdrop. Chart II-11Inflation Vs. Robot Density 2. Human Displacement A key question is whether robots and humans are perfect substitutes. If new technologies introduced in the past were perfect substitutes, then it would have led to massive underemployment and all of the income in the economy would eventually have migrated to the owners of capital. The fact that average real household incomes have risen over time, and that there has been no secular upward trend in unemployment rates over the centuries, means that new technologies were at least partly complementary with labor (i.e., the jobs lost as a direct result of productivity gains were more than replaced in other areas of the economy over time). Rather than replacing workers, in many cases tech made humans more productive in their jobs. Rising productivity lifted income and thereby led to the creation of new jobs in other areas. The capital that workers bring to the production process - the skills, know-how and special talents - became more valuable as interaction with technology increased. Like today, there were concerns in the 1950s and 1960s that computerization would displace many types of jobs and lead to widespread idleness and falling household income. With hindsight, there was little to worry about. Some argue that this time is different. Futurists frequently assert that the pace of innovation is not just accelerating, it is accelerating 'exponentially'. Robots can now, or will soon be able to, replace humans in tasks that require cognitive skills. This means that they will be far less complementary to humans than in the past. The displacement effect could thus be much larger, especially given the impressive advances in artificial intelligence. However, Box II-1 discusses why the threat to workers posed by AI is also heavily overblown in the media. The CEP multi-country study cited above did not find a large displacement effect; robot usage did not affect the overall number of hours worked in the 23 countries studied (although it found distributional effects - see below). In other words, rather than suppressing overall labor input, robot usage has led to more output, higher productivity, more jobs and stronger wage and income growth. A report by the Economic Policy Institute (EPI)7 takes a broader look at automation, using productivity growth and capital spending as proxies. Automation is what occurs as the implementation of new technologies is incorporated along with new capital equipment or software to replace human labor in the workplace. If automation is increasing 'exponentially' and displacing workers on a broad scale, one would expect to see accelerating productivity growth, robust capital spending, and more violent shifts in occupational shares. Exactly the opposite has occurred. Indeed, the report demonstrates that occupational employment shifts were far slower in the 2000-2015 period than in any decade in the 1900s (Chart II-12). Box II-1 The Threat From AI Is Overblown Media coverage of AI/Deep Learning has established a consensus view that we believe is well off the mark. A recent Special Report from BCA's Technology Sector Strategy service dispels the myths surrounding AI.8 We believe the consensus, in conjunction with warnings from a variety of sources, is leading to predictions, policy discussions, and even career choices based on a flawed premise. It is worth noting that the most vocal proponents of AI as a threat to jobs and even humanity are not AI experts. At the root of this consensus is the false view that emerging AI technology is anything like true intelligence. Modern AI is not remotely comparable in function to a biological brain. Scientists have a limited understanding of how brains work, and it is unlikely that a poorly understood system can be modeled on a computer. The misconception of intelligence is amplified by headlines claiming an AI "taught itself" a particular task. No AI has ever "taught itself" anything: All AI results have come about after careful programming by often PhD-level experts, who then supplied the system with vast amounts of high quality data to train it. Often these systems have been iterated a number of times and we only hear of successes, not the failures. The need for careful preparation of the AI system and the requirement for high quality data limits the applicability of AI to specific classes of problems where the application justifies the investment in development and where sufficient high-quality data exists. There may be numerous such applications but doubtless many more where AI would not be suitable. Similarly, an AI system is highly adapted to a single problem, or type of problem, and becomes less useful when its application set is expanded. In other words, unlike a human whose abilities improve as they learn more things, an AI's performance on a particular task declines as it does more things. There is a popular misconception that increased computing power will somehow lead to ever improving AI. It is the algorithm which determines the outcome, not the computer performance: Increased computing power leads to faster results, not different results. Advanced computers might lead to more advanced algorithms, but it is pointless to speculate where that may lead: A spreadsheet from 2001 may work faster today but it still gives the same answer. In any event, it is worth noting that a tool ceases to be a tool when it starts having an opinion: there is little reason to develop a machine capable of cognition even if that were possible. Chart II-12U.S. Job Rotation Has Slowed The EPI report also notes that these indicators of automation increased rapidly in the late 1990s and early 2000s, a period that saw solid wage growth for American workers. These indicators weakened in the two periods of stagnant wage growth: from 1973 to 1995 and from 2002 to the present. Thus, there is no historical correlation between increases in automation and wage stagnation. Rather than automation, the report argues that it was China's entry into the global trading system that was largely responsible for the hollowing out of the U.S. manufacturing sector. We have also made this argument in previous research. The fact that the major advanced economies are all at, or close to, full employment supports the view that automation has not been an overwhelming headwind for job creation. Chart II-13 demonstrates that there has been no relationship between the change in robot density and the loss of manufacturing jobs since 1993. Japan is an interesting case study because it is on the leading edge of the problems associated with an aging population. Interestingly, despite a worsening labor shortage, robot density among Japanese firms is falling. Moreover, the Japanese data show that the industries that have a high robot usage tend to be more, not less, generous with wages than the robot laggard industries. Please see Appendix II-2 for more details. Chart II-13Global Manufacturing Jobs Vs. Robot Density The bottom line is that it does not appear that labor displacement related to automation has been responsible in any meaningful way for the lackluster average real income growth in the advanced economies since 2007. 3. Inequality That said, there is evidence suggesting that robots are having important distributional effects. The CEP study found that robot use has reduced hours for low-skilled and (to a lesser extent) middle-skilled workers relative to the highly skilled. This finding makes sense conceptually. Technological change can exacerbate inequality by either increasing the relative demand for skilled over unskilled workers (so-called "skill-biased" technological change), or by inducing companies to substitute machinery and other forms of physical capital for workers (so-called "capital-biased" technological change). The former affects the distribution of labor income, while the latter affects the share of income in GDP that labor receives. A Special Report appearing in this publication in 2014 focused on the relationship between technology and inequality.9 The report highlighted that much of the recent technological change has been skill-biased, which heavily favors workers with the talent and education to perform cognitively-demanding tasks, even as it reduces demand for workers with only rudimentary skills. Moreover, technological innovations and globalization increasingly allow the most talented individuals to market their skills to a much larger audience, thus bidding up their wages. The evidence suggests that faster productivity growth leads to higher average real wages and improved living standards, at least over reasonably long horizons. Nonetheless, technological change can, and in the future almost certainly will, increase income inequality. The poor will gain, but not as much as the rich. The fact that higher-income households tend to maintain a higher savings rate than low-income households means that the shift in the distribution of income toward the higher-income households will continue to modestly weigh on aggregate demand. Can the distribution effect be large enough to have a meaningful depressing impact on inflation? We believe that it has played some role in the lackluster recovery since the Great Recession, with the result that an extended period of underemployment has delivered a persistent deflationary impulse in the major developed economies. However, as discussed above, stimulative monetary policy has managed to overcome the impact of inequality and other headwinds on aggregate demand, and has returned the major countries roughly to full employment. Indeed, this year will be the first since 2007 that the G20 economies as a group will be operating slightly above a full employment level. Inflation should respond to excess demand conditions, irrespective of any ongoing demand headwind stemming from inequality. Conclusions Technological change has led to rising living standards over the decades. It did not lead to widespread joblessness and did not prevent central banks from meeting their inflation targets over time. The pessimists argue that this time is different because robots/AI have a much larger displacement effect. Perhaps it will be 20 years before we will know the answer. But our main point is that we have found no evidence that recent advances in robotics and AI, while very impressive, will be any different in their macro impact. There is little evidence that the modern economy is less capable in replacing the jobs lost to automation, although the nature of new technologies may be affecting the distribution of income more than in the past. Real incomes for the middle- and lower-income classes have been stagnant for some time, but this is partly due to productivity growth that is too low, not too high. Moreover, it is not at all clear that positive productivity shocks are disinflationary beyond the near term. The link between robot usage and unit labor costs over the past couple of decades is loose at best at the industry level, and is non-existent when looking across the major countries. The Fed was able to roughly meet its 2% inflation target in the 1990s and the first half of the 2000s, despite IT's impressive contribution to productivity growth during that period. For investors, this means that we cannot rely on automation to keep inflation depressed irrespective of how tight labor markets become. The global output gap will shift into positive territory this year for the first time since the Great Recession. Any resulting rise in inflation will come as a shock since the bond market has discounted continued low inflation for as far as the eye can see. We expect bond yields and implied volatility to rise this year, which may undermine risk assets in the second half. Mark McClellan Senior Vice President The Bank Credit Analyst Brian Piccioni Vice President Technology Sector Strategy Appendix II-1 Why Is Productivity So Low? A recent study by the OECD10 reveals that, while frontier firms are charging ahead, there is a widening gap between these firms and the laggards. The study analyzed firm-level data on labor productivity and total factor productivity for 24 countries. "Frontier" firms are defined to be those with productivity in the top 5%. These firms are 3-4 times as productive as the remaining 95%. The authors argue that the underlying cause of this yawning gap is that the diffusion rate of new technologies from the frontier firms to the laggards has slowed within industries. This could be due to rising barriers to entry, which has reduced contestability in markets. Curtailing the creative-destruction process means that there is less pressure to innovate. Barriers to entry may have increased because "...the importance of tacit knowledge as a source of competitive advantage for frontier firms may have risen if increasingly complex technologies were to increase the amount and sophistication of complementary investments required for technological adoption." 11 The bottom line is that aggregate productivity is low because the robust productivity gains for the tech-savvy frontier companies are offset by the long tail of firms that have been slow to adopt the latest technology. Indeed, business spending has been especially weak in this expansion. Chart II-14 highlights that the slowdown in U.S. productivity growth has mirrored that of the capital stock. Chart II-14U.S. Capex Shortfall Partly To Blame For Poor Productivity Appendix II-2 Japan - The Leading Edge Japan is an interesting case study because it is on the leading edge of the problems associated with an aging population. The popular press is full of stories of how robots are taking over. If the stories are to be believed, robots are the answer to the country's shrinking workforce. Robots now serve as helpers for the elderly, priests for weddings and funerals, concierges for hotels and even sexual partners (don't ask). Prime Minister Abe's government has launched a 5-year push to deepen the use of intelligent machines in manufacturing, supply chains, construction and health care. Indeed, Japan was the leader in robotics use for decades. Nonetheless, despite all the hype, Japan's stock of industrial robots has actually been eroding since the late 1990s (Chart II-4). Numerous surveys show that firms plan to use robots more in the future because of the difficulty in hiring humans. And there is huge potential: 90% of Japanese firms are small- and medium-sized (SME) and most are not currently using robots. Yet, there has been no wave of robot purchases as of 2016. One problem is the cost; most sophisticated robots are simply too expensive for SMEs to consider. This suggests that one cannot blame robots for Japan's lack of wage growth. The labor shortage has become so acute that there are examples of companies that have turned down sales due to insufficient manpower. Possible reasons why these companies do not offer higher wages to entice workers are beyond the scope of this report. But the fact that the stock of robots has been in decline since the late 1990s does not support the view that Japanese firms are using automation on a broad scale to avoid handing out pay hikes. Indeed, Chart II-15 highlights that wage deflation has been the greatest in industries that use almost no robots. Highly automated industries, such as Transportation Equipment and Electronics, have been among the most generous. This supports the view that the productivity afforded by increased robot usage encourages firms to pay their workers more. Looking ahead, it seems implausible that robots can replace all the retiring Japanese workers in the years to come. The workforce will shrink at an annual average pace of 0.33% between 2020 and 2030, according to the Japan Institute for Labour Policy and Training. Productivity growth would have to rise by the same amount to fully offset the dwindling number of workers. But that would require a surge in robot density of 4.1, assuming that each rise in robot density of one adds 0.08% to the level of productivity (Chart II-16). The level of robot sales would have to jump by a whopping 2½ times in the first year and continue to rise at the same pace each year thereafter to make this happen. Of course, the productivity afforded by new robots may accelerate in the coming years, but the point is that robot usage would likely have to rise astronomically to offset the impact of the shrinking population. Chart II-15Japan: Earnings Vs. Robot Density Chart II-16Japan: Where Is The Flood Of Robots? The implication is that, as long as the Japanese economy continues to grow above roughly 1%, the labor market will continue to tighten and wage rates will eventually begin to rise. 1 Please see Technology Sector Strategy Special Report "The Coming Robotics Revolution," dated May 16, 2017, available at tech.bcaresearch.com 2 Note that this includes only robots used in manufacturing industry, and thus excludes robots used in the service sector and households. However, robot usage in services is quite limited and those used in households do not add to GDP. 3 Note that ICT investment and capital stock data includes robots. 4 Please see BCA Global Investment Strategy Special Report "Weak Productivity Growth: Don't Blame The Statisticians," dated March 25, 2016, available at gis.bcaresearch.com 5 Centre for Economic and Business Research (January 2017): "The Impact of Automation." A Report for Redwood. In this report, robot density is defined to be the number of robots per million hours worked. 6 Graetz, G., and Michaels, G. (2015): "Robots At Work." CEP Discussion Paper No 1335. 7 Mishel, L., and Bivens, J. (2017): "The Zombie Robot Argument Lurches On," Economic Policy Institute. 8 Please see BCA Technology Sector Strategy Special Report "Bad Information - Why Misreporting Deep Learning Advances Is A Problem," dated January 9, 2018, available at tech.bcaresearch.com 9 Please see The Bank Credit Analyst, "Rage Against The Machines: Is Technology Exacerbating Inequality?" dated June 2014, available at bca.bcaresearch.com 10 OECD Productivity Working Papers, No. 05 (2016): "The Best Versus the Rest: The Global Productivity Slowdown, Divergence Across Firms and the Role of Public Policy." 11 Please refer to page 27.
Highlights While bullish sentiment for copper remains high, concerns that policymakers' attempts at a managed slowdown in China this year goes too far will weigh on the market. Fundamentally, support for copper prices from potential supply shortfalls at both the mining and refining levels will be offset by a stronger USD and slower growth in China this year (Chart of the Week). Despite our expectation a slight physical supply deficit will emerge this year, we remain neutral copper. We do not believe this will be enough to rally prices in a meaningful way. Energy: Overweight. Ministers from Saudi Arabia and Russia confirmed OPEC 2.0 - the oil-producer coalition led by these states - will survive beyond the expiry of their production-management deal at the end of this year. What and how they will manage the production of coalition members, however, remains unknown. Base Metals: Neutral. Positive fundamentals for copper are at risk if the USD rallies on the back of Fed tightening this year or China's managed economic slowdown is too severe (see below). Precious Metals: Neutral. Gold prices remained well bid, despite expectations for three or four Fed rate hikes this year, suggesting the market is pricing in either fewer rate hikes and lower real rates, or geopolitical risk - most prominently in Venezuela or North Korea. We remain long gold as a strategic portfolio hedge. Ags/Softs: Underweight. Soybean has been gaining ground on concerns about yield damage due to droughts in parts of Argentina. Expectations of a bumper year for Brazil will mitigate the impact on global supply. Feature Bullish copper sentiment is at a multi-year high, with four bulls for every bear in the market (Chart 2). The strong global economy, weak USD, and elevated risk of further supply-side disruptions - at mines as well as at the refining level - are feeding into buyers' optimism. Chart of the WeekChina Fears Weighing##BR##On Copper Prices Chart 2Bullish Sentiment Remains##BR##At Multi-Year Highs Our outlook for 2018 calls for another, albeit smaller, refined copper deficit (Chart 3). This will come on the back of escalated risks from supply side disruptions at mines in Chile and Peru, and potential constraints on primary and secondary refined output from China, the largest refined copper producer (Table 1). Chart 3A (Smaller) Deficit##BR##In 2018 Table 1China Is Significant For##BR##Copper Supply And Demand China also is the world's largest refined-copper consumer, which makes the risk of a more severe downturn in China arising from too much policy-driven restraint in the metal's top consumer acute. In the following sections, we present our expectations for the fundamentals: copper mine output, refined copper production, and refined copper consumption. Industrial Action Will Threaten Mine Output Again In 2018 Copper had an exceptional year in 2017. The synchronized global upturn and weak USD set the stage for a memorable performance. On the supply-side, disruptions at some of the world's largest mines pushed prices up 8% in 1H17. Although the risk of further production shocks had subsided by 2H17, copper gained another 22% on the back of restrictive Chinese scrap import policies and better than expected demand fundamentals. Last year, the copper market registered a physical deficit, mainly on the back of a decline in copper mine supply. A 0.3% yoy fall in copper ores and concentrate output in the first eleven months of the year kept production broadly unchanged compared to the same period last year. In fact, this was the first yoy decline for that period since 2002, and contrasts with an average 5% expansion in ore and concentrate output for that period since 2012 (Chart 4). The most notable supply side disruptions last year were: Chart 4Supply Disruptions Put##BR##Copper In Deficit Last Year A 9% yoy decline in output from top producer Chile in 1H17. Chile accounts for more than a quarter of global ore & concentrate supply. The decline is a result of strikes at the Escondida mine as well as lower output from Codelco mines. The Indonesian government's ban on exports of copper ores in the first four months of the year led to a 6% yoy decline in production in the first eleven months. U.S. output, which accounts for~7% of global copper ores & concentrates supply is down 12% yoy in the first eleven months of 2017. In fact, the last time the U.S. recorded a positive yoy growth rate was in October 2016. The decline in U.S. output came mainly on the back of lower grade ores, a fall in mining rates, and poor weather conditions. The majority of these disruptions occurred in 1H17 - the first five months of the year witnessed a 1.6% yoy fall in output, while the Jun-Oct period experienced a 0.7% yoy increase. Nonetheless, the ramp up in second part of the year is significantly slower than the 6% yoy and 5% yoy increases in the same period in 2015 and 2016. Global supply was partially supported by Peruvian and European production. Peruvian output grew 3.6% yoy in the first eleven months of the year. However this rate is dwarfed in comparison to previous years. Output grew almost 40% yoy in 2016 and 23% yoy in 2015. Similarly, European output - which accounts for 8% of global supply - seems to be continuing its uptrend. It expanded by 2.4% in the first eleven months of 2017 to record the highest level of output for that period. In fact, growth in output is above the average 0.8% yoy pace in the same period in 2014-2016. We expect a small rebound in mine production in 2018. According to the International Copper Study Group, temporarily shut down capacity in the Democratic Republic of Congo (DRC) and Zambia will resume operations, supporting mine supply this year. Supply-side disruptions pose a significant risk to mine supply again this year. An estimated more than 30 labor contracts, representing ~5mm MT of mined copper - a quarter of global production - will expire this year.1 While surely not all of these negotiations will result in strikes and supply disruptions, the figure is noteworthy as it is significantly above the average 1.7mm MT worth of annual copper supply at risk from contract renewal between 2011 and 2016. The most significant of these renewals is that which was most damaging last year. The 44-day strike at BHP Billiton's Escondida mine in Chile last year, which resulted in a 7.8% yoy fall at the world's most productive copper mine, ended without agreement. Although the contracts were extended, they are due for renegotiation in June. In fact, one of the unions at Escondida held a day long "warning strike" in November, an indication that they do not intend to back down from their demands. Unless management gives in, this implies a heightened risk of disruptions. Bottom Line: Supply disruptions negatively impacted mine supply in some of the world's top producers in 1H17. Although European and Peruvian supply has been somewhat supportive, global supply stagnated in 2017. Industrial action remains the major risk to mined copper this year. 5mm MT worth of copper ores and concentrates are at risk of supply side disruptions in 2018 - the highest figure since 2010. Environmental Reforms Limit Refined Production From China Chart 5China's Scrap Imports Cushion##BR##Against High Prices World refined production grew 1.3% yoy in the first eleven months of 2017, the slowest growth rate for that period since 2009. This reflects significant declines in refined copper production in Chile and the U.S. Supply disruptions at mines in Chile - the world's second-largest producer of refined copper - led to a 182k MT fall in refined output in the first eleven months of 2017, compared to the same period in 2016. Refined output from the U.S. fell by 91.4k MT in that period. However, the downside pressure on refined output from lower ore production was mitigated by increased secondary production from scrap, which accounts for ~20% of global refined copper production. Chinese copper producers took advantage of the oversupply in global scrap and ramped up their production. According to the ICSG global secondary output expanded by almost 10% yoy in the first ten months of last year. China's copper scrap imports increased 9% yoy in the first eleven months of last year, following four years of declines (Chart 5). China makes up less than 10% of global mined copper, but it is the largest producer of refined copper in the world, accounting for 36% of the global production. China is expected to remain the main contributor to world refined production growth (Chart 6). However, Beijing's environmental reforms, and measures to curb the imports of "foreign trash" will limit secondary refined production. Chart 6China Remains Most Significant Factor In Refined Production Growth New policies affecting refined output in China are supportive of copper prices this year: 1. In relation to scrap copper, Beijing recently imposed two policy changes, in line with its environmental reforms. First, since the start of 2018, only copper scrap end-users and processors will be granted import licenses. Second, a proposal to limit the hazardous impurity levels in scrap copper imports to 1% by March. Both these policies will curtail China's scrap copper imports. China imports an estimated 3mm MT of scrap copper annually, accounting for roughly half of its total scrap copper supply. Such limitations would severely dent China's scrap supply. Furthermore, scrap copper imports play a significant role in China. They act as a buffer against high prices, soaring during periods of high prices and dwindling when prices are low - as they were between 2013 and 2016. If China does in fact go through with the tighter regulations on scrap imports, Chinese copper consumers would not be able to fall back on the secondary metal when prices rise - as they have been over the past year - leading to greater demand for imports of primary products, chasing prices higher. However, over the long term, we are likely to see Chinese scrap traders move their businesses offshore, notably in Southeast Asia, where they will process the scrap until it meets the regulations necessary to be imported by China.2 In fact, this has already started to happen in the case of the category 7 scrap - derived from end-of-life electronics, households, cars and industrial products - which is widely believed will be banned by year-end. Nevertheless, these recycling plants do not yet exist. Thus, the transition cannot occur overnight, and we expect the tighter policies on scrap imports to support prices in the interim as China increases its imports of ores and refined copper in order to fill the supply gap. 2. China's environmental reforms also pose a risk on refined supply this year. Smelters and refiners risk being shut down if they do not comply with tighter pollution controls. This could limit copper output this year. Similar to the winter production cuts occurring at steel and aluminum producers, China's second largest copper smelter - Tongling Nonferrous Metals Group - announced plans to reduce its smelter capacity by up to 30% during the winter.3 In addition, late last month, China's largest smelter - Jiangxi Copper Co. - was forced to curb output while local pollution levels were assessed.4 The extent to which these measures are adopted by other producers will interrupt refined output this year. Given the more elevated pollution levels during the winter months, this risk is most notable in the November to March period. Bottom Line: The major risk to refined copper supply is China's environmental reforms which will likely constrain copper scrap imports, and could lead to temporary shutdowns of polluting smelters and refineries. If Beijing tightens these regulations, we are likely to witness disruptions in both primary and secondary refined output, while the copper supply chain readjusts to be able to comply with these policies. Slowdown In China Would Temper Copper World refined copper consumption grew 0.8% yoy in the first eleven months of 2017. Weaker consumption was mainly in the 1H17, during which global consumption fell 1.8% yoy, whereas consumption in the July-to-November period accelerated by 3.9% yoy. Weaker demand in the first half of the year came on the back of weaker demand from China, which accounts for half of global consumption. China recorded a 7.7% yoy fall in consumption of refined copper in the January-to-April period. However, Chinese copper demand subsequently strengthened, accelerating by 7.4% yoy in the May-to-November period. While demand from the rest of the world muted the impact of weaker Chinese consumption in the first half of the year, it weakened in the second half of the year, falling 3.3% yoy in the May-to-October period. This fall in copper demand was driven by a 5.5% yoy fall in the U.S., and to a lesser extent, a 2.0% yoy fall in demand in Japan in the May-to-November period. According to China Customs data, China's refined copper imports fell 5.1% in 2017 after growing 3.7% in 2016 (Chart 7). However, what is noteworthy is that while imports fell 18.3% yoy in H1, they picked up in H2, increasing by 11.3% yoy, mainly on the back of strong demand in Q3. This is in line with strong economic performance in China in 2H17 - an upside surprise which supported copper prices. Going into 2018, we expect a managed deceleration in China - and in China's demand for copper - to be mitigated by stronger demand from the rest of the world. In fact, the IMF revised up its 2018 and 2019 global growth forecasts in the latest WEO Update earlier this week (Table 2). Global growth is now forecast to reach 3.9% in 2018, up from the estimated 3.7% last year. Chart 7China's Q4 Imports Were Strong Table 2Upward Revisions To IMF Growth Projections Chart 8Speed Bump Ahead For China? That said, our China construction Indicator - which includes several variables measuring construction activity in China - shows strong growth in the main end-user for copper (Chart 8). Given that building construction accounts for 43% of copper end-use in China, this indicates demand for copper should remain healthy in the near term. Furthermore, despite concerns of a slowdown, China's manufacturing PMI still points to a healthy economy. Even so, a decline in the Li Keqiang Index, which tracks industrial activity, warrants caution and could be signaling trouble ahead for the Chinese economy. In addition, government spending has decelerated significantly from its mid-2017 peak. Against these risks, the global economy is expected to remain strong. Thus the biggest risk to our assessment is a pronounced deceleration in China which would hit demand for the red metal. Bottom Line: The major risk to refined copper demand this year is a slowdown from China. Downside Risk From A Stronger USD In addition to the fundamental variables highlighted above, U.S. monetary policy - and its effect on the USD - will also be an important driver of the copper market. We expect the Fed to embark on its interest rate normalization process more aggressively this year, hiking its policy rate up to four times. This would see copper prices weaken as the red metal becomes more expensive in USD terms. The USD is significant because a weaker dollar means that dollar-based commodities are cheaper for foreign buyers. Thus, foreigners tend to buy dollar-denominated commodities when the USD is weak, and sell when the USD is strong, in order to also benefit from exchange rate differentials. Continued weakness of the USD has been supportive of copper prices since the beginning of 2017. A risk to our outlook is an unexpectedly dovish Fed, which would keep the dollar muted and be favorable to copper. Bottom Line: We expect the copper market to record a small physical deficit this year. A stronger USD and deceleration in China will prevent a repeat of 2017's performance. However supply side disruptions at the mine and refined levels will provide opportunities for some upside in the market. Synchronized global demand will be a tailwind throughout the year. In the near term, we expect copper to continue gyrating around its current level of $3.10/lb. Absent a marked slowdown in China, we expect a rally into mid-year as contract renegotiations get underway. Roukaya Ibrahim, Associate Editor Commodity & Energy Strategy RoukayaI@bcaresearch.com Hugo Bélanger, Research Analyst HugoB@bcaresearch.com 1 Please see "Copper soars to 4-year high as funds bet on shortages," dated December 28, 2017, available at reuters.com. 2 Please see "As China restricts scrap metal companies look to process copper abroad," dated January 8, 2018, available at reuters.com. 3 Please see "Chinese Copper Smelter Halts Capacity to Ease Winter Pollution," dated December 7, 2017, available at Bloomberg.com. 4 Please see "Copper Rallies to Three-Year High as China Plant Halts Output," dated December 26, 2017, available at Bloomberg.com. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Trades Closed in 2018 Summary of Trades Closed in 2017
Highlights Global Duration Strategy: Global bond yields continue to move higher, driven by rising inflation expectations and falling investor risk aversion. With global interest rates still not at levels that will restrict growth or draw capital away from booming equity markets, the path of least resistance for yields remains upward. Maintain a below-benchmark overall portfolio duration stance, with a bearish curve steepening bias in the U.S. and core Europe. U.K. Gilts: The momentum in the U.K. economy is slowing, as a weaker consumer, slower housing activity, and softer capital spending are offsetting a pickup in exports. With the inflationary impulse from the 2016 plunge in the Pound now fading, and with Brexit uncertainty weighing on business confidence, the Bank of England will struggle to raise rates in 2018. Stay overweight Gilts. Feature Revisiting Our Duration Strategy After The Rise In Yields Global government bond markets have started 2018 in a grumpy mood. The price return on the overall Barclays Global Treasury index is already down -0.6% so far in January, and yields are up for almost every country and maturity bucket within the developed market universe. Only longer-dated Peripheral European debt (Italy, Spain, Portugal, even Greece) has seen lower yields month-to-date, as the powerful growth upturn in the Euro Area has resulted in sovereign credit upgrades and narrowing spreads to core European bonds. The global sell-off has been led by the U.S., with the benchmark 10-year U.S. Treasury yield climbing all the way to 2.66% last week, already surpassing the 2016 high seen last March. Rising inflation expectations are the biggest culprit, with the 10-year TIPS breakeven rate climbing to 2.07%, the highest level since 2014. Chart of the WeekNo Good News For Bonds Right Now The relentless surge in global stock markets - driven by faster worldwide economic growth and an absence of volatility - is also helping fuel the bearishness in government bond markets. The economic growth momentum is showing no signs of abating. The IMF just raised its global growth forecast for both 2018 and 2019 to 3.9% in both years - the fastest pace since 2011 - largely because of the impact of the U.S. tax cuts but also because of much faster expected growth in Europe.1 The IMF noted that "the cyclical rebound could prove stronger in the near term as the pickup in activity and easier financial conditions reinforce each other." We could not agree more. With robust growth pushing a majority of economies to operate beyond full employment, and with financial conditions remaining highly accommodative, global bond markets are now pricing in both higher inflation expectations and less accommodative monetary policy (Chart of the Week). While we only expect actual rate increases in the U.S. and Canada in 2018, the pressures on global central banks to respond to the coordinated growth upturn with hawkish talk will keep government bond markets on the defensive - especially if global inflation rates are moving up at the same time. Diminishing demand for government bonds from recently reliable sources may also act to push up yields in the months ahead. A reduced pace of asset purchases from the European Central Bank (ECB) and Bank of Japan (BoJ), combined with the Fed reducing the reinvestments of its maturing Treasury holdings, means that the private sector must now absorb a greater share of bond issuance, on the margin. In the U.S. in particular, the biggest swing factor for the Treasury market could end up being the retail investor. Households have been notably risk-averse in the years since the Great Financial Crisis, keeping relatively high allocations to fixed income and relatively low allocations to equities after suffering such steep losses in the 2008 crash. Those attitudes are changing, however, with the U.S. equity market continuing to hit new all-time highs amid increased media coverage of the rally (as well as the bullish Tweets from the White House taking credit for it). The latest University of Michigan U.S. consumer confidence survey showed that the expected probability of another year of rising stock prices is now at the highest level (66%) in the fifteen years that question was asked. U.S. investment advisors are also very optimistic, with the Investors' Intelligence bull/bear ratio back to the highest level since 1987! (Chart 2) Yet actual equity returns over the past three years have lagged those seen during periods of elevated investor sentiment, like in 1987, 2005 and 2014 (Chart 2). What is missing now is a big surge of retail investor money into equities that can fuel the next leg of the equity rally, particularly through mutual funds and ETFs. Chart 2The Bond-Bearish Equity Party##BR##Is Just Getting Started This is starting to happen. The rolling 12-month total of net flows into U.S. equity mutual funds and ETFs is about to accelerate into positive territory for the first time since 2012, according to data from the Investment Company Institute (3rd panel). This could soon pose a problem for U.S. bond markets as, since 2008, there has been a reliable negative correlation between U.S. retail flows into equity funds and flows into fixed income funds, especially at major turning points (bottom panel). For example, after that 2012 bottom in net equity flows, the rolling total of net flows into bond funds collapsed from over $400bn to zero in a span of 18 months, with the vast majority of the outflow from bonds going into equities. An exodus of U.S. retail investors from fixed income would be a major problem for bond markets, especially at a time when net Treasury issuance is expected to increase due to wider fiscal deficits and the Fed will be buying fewer bonds as it begins to unwind its massive balance sheet. Other buyers like commercial banks and global reserve fund managers can pick up some of the slack if the retail bid fades from U.S. Treasuries. However, in an environment of strong global growth, rising inflation and more hawkish central banks, it may require higher yields to entice those buyers to ramp up their allocations. In the near-term, the next wave of global bond-bearish news will have to come from upside surprises in inflation, not growth. The Citi Global Economic Data Surprise index - which has historically correlated with swings in global bond yields - is now at elevated levels which should raise the odds of data disappointments as growth expectations get revised up (Chart 3). The Citi Global Inflation Data Surprise index, however, remains just below zero after last year's plunge, but is showing signs of stabilizing (bottom panel). U.S. inflation is already starting to bottom out, but Euro Area core inflation has been underwhelming of late. It will likely take a rise in the latter to trigger the next move higher in global yields, as the market will begin to more aggressively price in less accommodative monetary policy from the ECB. For now, U.S. Treasuries are driving the path of yields, with the "leadership" of the bond bear market expected to switch to Europe later on in 2018. In terms of our recommend duration strategy and country allocations, we are sticking with our current positions which are finally beginning to move in favor of our forecasts (Chart 4): Chart 3The Next Leg Higher In Global Yields##BR##Must Be Driven By Inflation Surprises Chart 4Our Recommended##BR##Country & Curve Allocations Underweights to countries where we expect central banks to hike rates (U.S., Canada) or more openly discuss a tapering of asset purchases (Germany, France). Overweights to countries where we expect no change in policy rates (U.K., Australia) or only modest changes to asset purchase programs (Japan). Positioning for steeper yield curves in countries where growth is strong, economies are at or beyond full employment, but where inflation expectations remain far enough below central bank targets to prevent policymakers from turning more hawkish faster than expected (U.S., Germany, Japan). Bottom Line: Global bond yields continue to move higher, driven by rising inflation expectations and falling investor risk aversion. With global interest rates still not at levels that will restrict growth or draw capital away from booming equity markets, the path of least resistance for yields remains upward. Maintain a below-benchmark overall portfolio duration stance, with a bearish curve steepening bias in the U.S. and core Europe. U.K. Gilts: The BoE's Hands Are Tied In our final report of 2017, we updated our recommended allocations in our Model Bond Portfolio based on the key views stemming from the 2018 BCA Outlook.2 We upgraded our country allocation to U.K. Gilts to overweight, primarily as a "defensive" position within a portfolio positioned for an expected rise in global bond yields. That may sound surprising given the current elevated level of inflation and low unemployment rate in the U.K. Yet our view is based on the notion that the Bank of England (BoE) will have a very difficult time trying to raise interest rates at all in 2018 when other major global central banks are likely to take a more hawkish turn. The main reason that the BoE will be unable to do much on the interest rate front is that the U.K. economy is likely to slow in the coming quarters. The OECD leading economic indicator is decelerating steadily, and is pointing to a real GDP growth rate below 2% in 2018 (Chart 5). The updated IMF forecast for the U.K. calls for growth to only reach 1.5% in both 2018 and 2019. The biggest factors that will weigh on growth will be a sluggish consumer and softer capex. Household consumption growth has already been slowing since early 2017, driven by diminishing consumer confidence (Chart 6, top panel). High realized inflation which has sapped the purchasing power of U.K. workers who have not seen matching increases in wages, is weighing on confidence (3rd panel). Consumers were able to maintain a decent pace of spending during a period of stagnant real income growth by drawing down on savings, but that looks to be tapped out now with the saving rate down to a 19-year low of 5.5% (bottom panel). Chart 5U.K. Growth Set To Slow Chart 6The U.K. Consumer Looks Tapped Out Making matters worse, U.K. consumers are not seeing much of a wealth effect from the housing market. The December 2017 readings of the year-over-year growth rate of U.K. house prices from the Halifax and Nationwide house prices came in at 1.1% and 2.5% respectively (Chart 7, top panel). In addition, the net balance of national house price expectations from the Royal Institution of Chartered Surveyors (RICS) survey has steadily declined since mid-2016 and now sits just above zero (i.e. equal number of respondents expecting higher prices and falling prices). The same indicator for London was a staggering -54% in November 2017. U.K. homeowners have had to take a lot of hits over the past couple of years. A 2016 hike in the stamp duty for second homes and buy-to-let properties prompted a plunge in more "speculative" property transactions. The squeeze on real household incomes that has damaged consumer spending has also made homes less affordable, even with very low mortgage rates. Most importantly, the 2016 Brexit vote and subsequent uncertainty over the U.K.'s future relationship with Europe has placed an enormous cloud over housing demand - both from potential reduced immigration to the U.K. and businesses and jobs potentially relocating to European Union countries. The Brexit uncertainty is also weighing on U.K. business investment spending. U.K. capital expenditure growth slowed to 4.3% year-over-year in nominal terms in Q3 2017, and is even lower in real terms (Chart 8, top panel). Capex is generally import-intensive, and the rise in import costs due to the depreciation of the Pound after the 2016 Brexit vote raised the cost of investment. Chart 7No Growth In##BR##U.K. Housing Chart 8Brexit Gloom Trumps Export##BR##Boom For U.K. Companies This explains why U.K. capital spending has lagged even with manufacturing indicators in decent shape, such as the Confederation of British Industry (CBI) survey which shows the highest readings on total industrial orders and export orders since 1988 and 1995, respectively (2nd panel). Yet non-financial credit growth stalled out in the latter half of 2017, while the CBI survey of business optimism has turned into negative territory. Brexit uncertainties are clearly trumping strong export demand, thus U.K. capital investment is likely to remain sluggish in 2018 even with robust global growth. With U.K. economic growth likely to slow in 2018, the lingering problem of high inflation should start to fade. Already, both headline and core CPI inflation have stabilized, with the latter actually drifting a touch lower in the latter half of 2017 (Chart 9). The small gap between the two can be explained by the rise in global oil prices seen over the past year. The impact of oil on U.K. inflation expectations is relatively modest compared to other countries with much lower realized inflation rates, as we discussed in last week's Weekly Report.3 What is far more relevant is the path of British pound. The 16% plunge in the trade-weighted sterling index after the 2016 Brexit vote was a major reason why U.K. realized inflation blew through the BoE's 2% target last year. The currency has since stabilized at a depressed level and traded in a relatively narrow range in 2017. The trade-weighted index is now 3% above year-ago-levels, which should help U.K. inflation rates drift lower in the next 6-12 months - especially if U.K. growth underwhelms at the same time. Already, the more stable currency has allowed the inflation rates of import prices and producer prices to fall sharply last year (bottom panel), which should soon start to feed through into overall inflation rates. Lower realized inflation would be a welcome boost for the spending power of U.K. households and businesses, but will likely be dwarfed by the impact of oil prices in the near term. More importantly, the slowing momentum of economic growth, now fueled more by Brexit uncertainty than high inflation, will limit the BoE's ability to continue normalizing the very low level of U.K. interest rates. Our 12-month U.K. discounter shows that markets are pricing in 25bps of rate hikes over the next twelve months (Chart 10). The forward path of interest rates shown in the U.K. Overnight Index Swaps curve suggests that the hike could come by October. That is unlikely to happen given the slump in leading economic indicators, and peaking in currency-fueled inflation, currently underway. Chart 9Currency-Fueled U.K. Inflation Is Peaking Out Chart 10Stay Overweight U.K. Gilts A stand-pat BoE, combined with more stable and potentially falling U.K. inflation, will limit the ability for U.K. Gilt yields to rise by as much as we are expecting in the U.S., and even core Europe, over the next 6-12 months. Gilts have become a relative safe haven within a global bond bear market in the developed markets, with a yield beta of around 0.5 to U.S. Treasuries and German government bonds. This has already allowed Gilts to outperform the Barclays Global Treasury index (in currency-hedged terms) since the most recent cyclical low in global bond yields last September (bottom panel). We continue to expect Gilts to outperform in 2018. Stay overweight. Bottom Line: The momentum in the U.K. economy is slowing, as a weaker consumer, slower housing activity, and softer capital spending are offsetting a pickup in exports. With the inflationary impulse from the 2016 plunge in the Pound now fading, and with Brexit uncertainty weighing on business confidence, the Bank of England will struggle to raise rates in 2018. Stay overweight Gilts. Robert Robis, Senior Vice President Global Fixed Income Strategy rrobis@bcaresearch.com Ray Park, Research Analyst Ray@bcaresearch.com 1 http://www.imf.org/en/Publications/WEO/Issues/2018/01/11/world-economic-outlook-update-january-2018 2 Please see BCA Global Fixed Income Strategy Weekly Report, "Our Model Bond Allocation In 2018: A Tale Of Two Halves", dated December 19th 2017, available at gfis.bcaresearch.com. 3 Please see BCA Global Fixed Income Strategy Weekly Report, "The Importance Of Oil", dated January 16th 2018, available at gfis.bcaresearch.com. Recommendations Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns
Highlights Trade #1: Go Short The December 2018 Fed Funds Futures Contract. The trade has gained 64 bps since we initiated it. We are lifting the stop to 60 bps and targeting a profit of 75 bps. Trade #2: Go Long Global Industrial Stocks Versus Utilities. The trade is up 13.1%. We are targeting a profit of 15%, and are tightening the stop further to 12%. Trade #3: Go Short 20-Year JGBs Relative To Their 5-Year Counterparts. The trade is up 0.7%. We see this as a multi-year trade with significant upside potential. The unwinding of heavy short positions could cause the yen to strengthen temporarily. The euro is vulnerable to negative growth surprises. A retracement of some of its recent gains is likely. Feature Looking Back, Thinking Forward I had the pleasure of speaking at BCA's Annual Investment Conference held in New York on September 27th of last year where I offered three "tantalizing" trade ideas. Chart 1 reviews their performance. They were the following: Trade #1: Go Short The December 2018 Fed Funds Futures Contract We argued last summer that U.S. growth was likely to accelerate, taking rate expectations higher. That has indeed happened. Aggregate hours worked rose by 2.5% in Q4 over the previous quarter. Assuming that productivity increased by 1.5% in Q4 - equal to the pace recorded in Q3 - real GDP probably increased by nearly 4%. A variety of leading indicators point to continued above-trend growth in the months ahead (Chart 2). Chart 1Three Tantalizing Trades: ##br##An Update Chart 2Leading Indicators Pointing ##br##To Above-Trend U.S. Growth We think the Fed will raise rates four times this year, one more hike than projected by the dots and roughly 35 bps more in tightening than implied by current market expectations. The median Fed dot calls for an unemployment rate of 3.9% by end-2018, only marginally lower than today's rate of 4.1%. We have been saying for a while that above-trend growth will take the unemployment rate down to a 49-year low of 3.5% by the end of this year. If the unemployment rate falls this much, the Fed will probably turn more hawkish. Stronger inflation numbers should also give the Fed confidence to keep raising rates once per quarter. Core inflation surprised on the upside in December. We expect this trend to continue in the coming months, as the ISM manufacturing index, the New York Fed's Inflation Gauge, and our own proprietary pipeline inflation index are already foreshadowing (Chart 3). Chart 3U.S. Inflation ##br##Should Accelerate Chart 4A Pick-Up In Wage Growth ##br##Would Put Upward Pressure On Service Inflation As we noted two weeks ago,1 service sector inflation should get a lift from faster wage growth this year (Chart 4). Goods inflation should also rise on the back of higher oil prices and the lagged effects of a weaker dollar (Chart 5). In addition, health care inflation is likely to pick up from its current depressed level, especially if the Congressional Budget Office is correct that insurance premiums will rise due to the elimination of the individual mandate (Chart 6). Housing inflation will moderate, but this is unlikely to stymie the Fed's tightening plans since excessively low interest rates could lead to even more overbuilding in the increasingly vulnerable commercial real estate sector. Chart 5Higher Oil Prices And A Weaker Dollar ##br##Are A Tailwind For Inflation Chart 6Health Care Inflation ##br##Should Move Higher Granted, four rate hikes equal four opportunities to defer raising rates. It is easy to imagine scenarios where the Fed stands pat, but hard to conjure scenarios where the Fed has to raise rates five times or more this year. Thus, the risk to our four-hike view is to the downside. As such, we will be looking to take profits of 75 bps on the trade, and are putting in a stop of 60 bps. Trade #2: Go Long Global Industrial Stocks Versus Utilities Capital spending tends to accelerate in the late innings of business-cycle expansions. We are in such a phase now, as evidenced by capital goods orders, capex intention surveys, and our global capex model (Chart 7). Increased capital spending will benefit industrial companies. Conversely, rising bond yields will hurt rate-sensitive utilities. Valuations in the industrial sector have gotten stretched, but are not at extreme levels (Chart 8). Based on enterprise value-to-EBITDA, industrials are still only slightly more expensive than utilities compared to their post-1990 average. Chart 7Capex Is Shifting Into ##br##Higher Gear Chart 8Industrial Stocks: Valuations Are Stretched, ##br## But Not Yet Extreme While we do think global growth will slow this year from the heady pace of 2017, it should remain firmly above-trend. A bigger-than-expected slowdown - especially if it is concentrated in China - would undoubtedly hurt industrials. A stronger dollar could also be a headwind. Thus, we are keeping this trade on a short leash, with a target of 15% and a stop of 12%. Trade #3: Go Short 20-Year JGBs Relative To Their 5-Year Counterparts The Japanese economy is on fire. Growth almost reached 2% in 2017 and leading indicators suggest a solid start to 2018 (Chart 9). The unemployment rate has fallen to 2.7%, a full point below 2007 levels. The ratio of job openings-to-applicants has surpassed its bubble peak. The Tankan Employment Conditions Index is pointing to an exceptionally tight labor market. Wages excluding overtime pay are rising at the fastest pace in twenty years (Chart 10). Chart 9Japanese Growth Momentum Is Positive Chart 10Signs Of A Tight Labor Market Inflation is low but is starting to edge up. The most recent release surprised on the upside. Inflation expectations moved higher on the news, benefiting our long Japanese 10-year CPI swap trade recommendation (Chart 11). A simple scatterplot between the unemployment rate and core inflation suggests the Phillips curve remains intact in Japan -- amazingly, it even looks like Japan (Chart 12)! Chart 11Inflation Expectations Have Edged Higher Chart 12The Phillips Curve In Japan Looks Like Japan Still, with core inflation excluding food and energy running at only 0.3%, there is a long way to go before inflation reaches the BoJ's target -- and even longer if the BoJ honours its promise to generate a meaningful overshoot to compensate for the below-target inflation of prior years. This suggests the BoJ will not meaningfully water down its Yield Curve Control regime anytime soon. As such, five-year yields are likely to stay put while yields with maturities in excess of ten years should move higher. Our "tantalizing trade" being short 20-year JGBs versus their 5-year counterparts still has a long way to run. Too Risky To Short The Yen The exceptionally strong correlation between USD/JPY and U.S. Treasury yields has broken down this year (Chart 13). Had the relationship held, the yen would have actually weakened against the dollar. Still, we are reluctant to get too bearish on the yen (Chart 14). The yen real effective exchange rate is close to multi-decade lows. Positioning on the currency is heavily short. The current account surplus has mushroomed from close to zero in 2014 to 4% of GDP at present. And even if the BoJ keeps the Yield Curve Control regime in place, investors may still anticipate its demise, leading to a temporary bout of yen strength. Chart 13Strong Correlation Is Broken Chart 14Too Risky To Short The Yen What's Propping Up The Euro? The euro has been on a tear since last week, egged on by the ECB minutes, which hinted at a faster pace of monetary normalization. Growing confidence that Angela Merkel will be able to form a grand coalition also helped the common currency, along with hopes that the new government will loosen the fiscal purse strings. The euro is often thought of as the "anti-dollar." And sure enough, the euro's strength has been reflected in a broad-based decline in the dollar index in recent days. BCA's Global Investment Strategy service went long the dollar on October 31, 2014. We "doubled up" on this call in the fall of 2016, controversially arguing that "Trump will win and the dollar will rally." Obviously, in retrospect, I should have rung the register and declared victory on our long dollar view when I had the chance. EUR/USD fell to 1.04 on December 2016, within striking distance of our parity target. Bullish dollar sentiment had reached unsustainably lofty levels. That was the time to sell the greenback. But hubris got the best of me. While our other currency trade recommendations have delivered net gains of 11% since the start of 2017, the long DXY trade has stuck out like a sore thumb. Hindsight is 20/20. The key question is what to do today. EUR/USD is still trading below the level it was at when we went long the DXY. Relative to the IMF's Purchasing Power Parity exchange rate of 1.32, the euro is 7% undervalued. That said, PPP exchange rates may not be a reliable benchmark in this case. Given current market expectations, EUR/USD would need to strengthen to 1.41 over the next ten years just to cover the carry cost of being short the dollar. Even assuming lower inflation in the euro area, that would still leave the euro trading above its long-term fair value. It is possible, of course, that rate differentials will narrow further, but the scope for this is more limited than it might appear. The market currently expects policy rates ten years out to be 95 basis points higher in the U.S., down from a spread of nearly 180 basis points in late December (Chart 15). Given that euro area inflation expectations are 40-to-50 bps lower than in the U.S., this implies a real spread of about 50 bps - broadly in line with our estimate of the real neutral rate gap between the two regions. Ultimately, the fate of the euro in 2018 will rest on the same question that drove the currency in 2017: Will euro area growth surprise on the upside, prompting investors to price in a faster pace of monetary normalization? The bar for success is certainly higher at present. Chart 16 shows that euro area consensus growth estimates have risen significantly since the start of last year. The expected lift-off date for policy rates has also shifted in by more than a year to mid-2019. Considering that Jens Weidmann stated earlier this week that he thinks current market pricing is broadly consistent with when the ECB expects to hike rates, there is little scope for the lift-off date to move forward. Chart 15Little Scope For Rate Differentials ##br## To Narrow Further Chart 16Euro Area Growth Estimates Have Been Revised Up ##br##Since The Start Of 2017 Meanwhile, financial conditions have tightened significantly in the euro area relative to the U.S., the euro area credit impulse has turned negative, and the U.S. economic surprise index has jumped above that of the euro area (Chart 17). Euro area inflation has also dipped. Especially worrying is that core inflation in Italy has fallen back to a near record-low of 0.4% (Chart 18). How is Italy supposed to navigate its way out of its debt trap if nominal growth stays this weak? On top of all that, long speculative euro positions have soared to record-high levels (Chart 19). Given the choice of betting whether EUR/USD will first hit 1.30 or 1.15, we would go with the latter. If our bet turns out to be correct, we will use that opportunity to shift to neutral on the dollar. Chart 17The Euro Is Vulnerable ##br##To Negative Growth Surprises Chart 18Euro Area Core Inflation ##br##Has Dipped Chart 19Euro Positioning: From Deeply Short ##br##To Record Long Peter Berezin, Chief Global Strategist Global Investment Strategy peterb@bcaresearch.com 1 Please see Global Investment Strategy Weekly Report, "Four Key Questions On The 2018 Global Growth Outlook," dated January 5, 2018. Strategy & Market Trends Tactical Trades Strategic Recommendations Closed Trades
Highlights Slower global demand growth, coupled with surging production from the U.S. shales and higher OPEC 2.0 production, risks reversing the progress made in draining global commercial oil storage and tanking prices in 2019.1 Our updated balances modelling is in agreement with the backwardation in forward Brent and WTI curves, but, if anything, indicates the backwardation should be more pronounced: We are forecasting Brent and WTI prices next year will average $55 and $53/bbl, respectively, vs. $62.80/bbl and $57.40/bbl average prices for 2019's forward curves. For 2018, we are maintaining our $67 and $63/bbl expectation for Brent and WTI, although our modelling indicates higher prices are a distinct possibility, given our fundamental assumptions of falling supply and rising demand this year (Chart of the Week). Energy: Overweight. We liquidated our May and July Brent and WTI $55 vs. $60/bbl call spreads last week with gains of 110.1% and 129.0%. We will be liquidating our Dec/18 Brent and WTI $55 vs. $60/bbl call spreads at tonight's close; they were up 62.3% and 82.1% as of Tuesday. We remain long Jul/18 vs. Dec/18 WTI (up 47.4%), and long the S&P GSCI (up 8.5%), expecting backwardation. We will get long $55 Brent Puts vs. short $50 Brent Puts in 4Q19 at tonight's close. Base Metals: Neutral. We continue to expect base metals to remain well supported in 1H18 by environmental reforms in China, and supply uncertainty around contract renegotiations at the copper mines. The global expansion underpinning demand will compensate for slower Chinese growth in 2H18. Precious Metals: Neutral. Our long gold portfolio hedge is up 8.5% since inception in May/17. Ags/Softs: Underweight. Soybean markets rallied following last week's USDA WASDE report, but grains fell amid data indicating these markets will remain oversupplied. Feature If there is one truth in commodity markets it is this: The best cure for high prices is high prices, and vice versa. This is being dramatically demonstrated by OPEC 2.0 in its collective action to remove 1.8mm b/d of production from the market following disastrously low prices in 2015 - 16. Higher prices in 4Q17 and 1H18 oil futures are incentivizing a surge in U.S. shale output, and will give OPEC 2.0 comfort in slowly feeding output taken offline at the beginning of 2017 back into the market in 2H18 and 2019 (Chart 2). Higher prices and tightening monetary conditions globally will slow the rate of growth in demand next year (Chart 3). Chart of the WeekFundamentals##BR##Support Oil In 2018 Chart 2Non-OPEC Production##BR##Will Surge Chart 3Strong Consumption Growth In 2018,##BR##Tempered By Higher Prices In 2019 Given these fundamental inputs, we expect to see Brent averaging $55/bbl next year, and WTI averaging $53/bbl next year. Our forecast is highly uncertain, given the actual evolution of prices will, once again, depend on actions taken by OPEC 2.0 and the forward guidance provided by its leadership, KSA and Russia. Our forecast for 2018 - $67/bbl for Brent and $63/bbl for WTI - remains unchanged. If anything, our unconstrained models (Chart of the Week) have more upside risk than our forecast suggests, largely from falling production and surging demand - not to mention unplanned production outages. Looking to the end of 2019 from today, the backwardation we expect is greater than what is being priced into the Brent and WTI forward curves presently. Growth In U.S. Shales Dominates Non-OPEC Gains We are expecting U.S. crude oil production growth will dominate the increase in non-OPEC output in 2018 and 2019 (Chart 2, top panel). U.S. shale-oil output rises by 970k b/d and another 1.18mm b/d, respectively, this year and in 2019. By our reckoning, this will lift total U.S. crude oil production to 10.22mm b/d this year, a record level of output, and to 11.44mm b/d on average next year. Total U.S. crude and liquids output therefore rises from just under 17mm b/d in 2018 to 18.5mm b/d by the end of 2019. If our estimates are correct, the U.S. will join Russia in producing more than 11mm b/d of crude oil next year, and may even exceed it. Russia is expected to raise production slightly. As one of the putative leaders of OPEC 2.0, we expect Russia to maintain its 300k b/d production cut in 1H18, which will keep its overall liquids production steady at ~ 11.17mm b/d through June. In 2H18, Russia will gradually restore production to an average of 11.24mm b/d, reaching 11.4mm b/d by December. For 2019, we expect total Russian liquids production to average 11.35mm b/d, up ~ 140k b/d yoy. OPEC's return will be led by the Cartel's Gulf producers, which are expected to raise crude production 450k b/d this year and 350k b/d next year (Chart 2, bottom panel). Total production in Gulf OPEC states will reach 25.25mm b/d on average in 2019. This will, of course, be dominated by KSA, which we expect will lift crude production to ~ 10.36mm b/d in 2H18 after holding crude output steady at ~ 10mm b/d in 1H18 over-delivering vs. its quota under the OPEC 2.0 Agreement. For 2019, we expect KSA to maintain production above 10.1mm b/d.2 Non-Gulf OPEC producers, on the other hand, will see their production fall 140k b/d this year, and another 240k b/d next year, leaving it at 7.49mm b/d on average in 2019, in our estimation. The contribution of these states to the OPEC 2.0 production cuts has been "managing" their respective decline curves. It is highly unlikely they will see production surge following the expiration of the OPEC 2.0 agreement at the end of this year. Overall, we expect global crude and liquids production to reach 100mm b/d this year, and 102.2mm b/d next year (Table 1). Table 1BCA Global Oil Supply - Demand Balances (mm b/d) Oil Demand Surges This Year, But Slows In 2019 The global economic expansion will lift oil demand above 100mm b/d this year to 100.3mm b/d. This will be led, as always, by non-OECD growth, which we expect to increase 1.24mm b/d this year to 52.8mm b/d (Chart 3, top panel). DM demand - i.e., OECD consumption - will increase 440k b/d this year, to 47.5mm b/d, based on our estimates. Overall global demand rises 1.68mm b/d this year, by our reckoning (Chart 3). We expect tighter financial conditions this year and next will, with the lags typical of monetary policy, slow the rate of growth in oil demand next year. This will be delivered by tightening monetary policy, led by the U.S. Fed, and a mild recession next year, most likely in 2H19. We expect global demand to grow 1.57mm b/d next year, rising to just under 102mm b/d. EM demand will grow 1.21mm b/d, while DM demand will be up 360k b/d next year. Tightening Balances Will Reverse In 2H18 The yeoman effort put forth by OPEC 2.0 in reducing output and draining commercial inventories globally will reach its apotheosis by the end of 1H18 (Charts 4). Thereafter, as production grows and demand begins to slow, our balances indicate inventories will start to grow again (Chart 5). Chart 4Supply-Demand Balances##BR##No Longer Tightening In 2019 ... Chart 5... Leading To##BR##Inventory Accumulation Markets likely will start focusing on the implications of OPEC 2.0 returning production to the market and the surge in shale in 2H18 and during 2019. Non-forecastable events notwithstanding - e.g., a breakdown in Venezuela's production and exports - markets will be looking to OPEC 2.0 leadership for guidance on how the coalition will manage member-state production from 2H18 forward. If the OPEC 2.0 coalition is allowed to dissolve - something we do not expect - and a production free-for-all resumes similar to that of 2015 - 16, another round of supply destruction, brought about by lower prices, likely will ensue. This would greatly restrict E&P and services companies' access to capital, should it occur, and would, once again, imperil the economies of OPEC 2.0. In addition, because such volatility would discourage investment once again, it would set up a powerful price rally in the early 2020s following the attendant collapse in capex and E&P spending, as occurred in the previous down-cycle. We doubt this is the desired outcome of the OPEC 2.0 leadership, particularly KSA, as the Kingdom will be looking to IPO Saudi Aramco later this year to fund its Vision 2030 diversification efforts. We also doubt this is the desired outcome of Russia, given the economic pain it endured in the 2015 - 16 episode. More Frequent OPEC 2.0 Guidance Expected Given these considerations, we expect KSA and Russia to increase the frequency of forward guidance, directing market participants toward a preferred price band. Right now, this looks like a $50 to $60/bbl range - the 2018 forecast given by Russia's Energy Minister Alexander Novak earlier this week.3 It would be incumbent on OPEC 2.0 leadership to guide markets to expect production and inventory responses consistent with such guidance. We think the combination of OPEC 2.0 production restraint and the powerful synchronized global growth already in place puts Energy Minister Novak's guidance out of range for this year, and we are sticking with our forecasts for Brent and WTI. However, beginning in 2H18, a 2019 Brent forecast in Novak's range appears reasonable, based on the fundamentals discussed above. And, our WTI forecast of $53/bbl also is reasonable, given the average marginal cost of producing in the most prolific fields in the U.S. are at or below $50/bbl, according to the Dallas Fed's periodic Energy Survey.4 We believe the massive drawdown in global oil inventories to be the first step in a longer-term strategy by OPEC 2.0 countries. Lower OECD commercial inventory levels will diminish their shock-absorbing capacity, leading to a higher responsiveness of oil prices to supply-demand shocks. This will allow the coalition to exert greater control over oil prices via rapid, flexible storage adjustments and spare capacity management. Therefore, this year's out-of-range prices will be tolerated by Russia and KSA to achieve their optimal level of global inventories. A $50-to-$60/bbl Brent range for OPEC 2.0 would be consistent with a longer-term strategy to maximize the period of time hydrocarbons are the primary transportation fuel in the world. This is the only way to achieve the development goals set out by leaders of various oil-exporting states seeking to diversify the economic underpinnings of these economies. To do so, they have to keep oil-based transportation competitive for decades. Too much volatility - i.e., frequent excursions between very high and very low prices - will severely limit the access to capital these societies need to pull off this diversification. Managing production in a way that limits this volatility and keeps oil competitive in transport markets therefore is critical. Bottom Line: High prices will cause crude oil production to surge this year and next, particularly in the U.S. shales, and demand growth to slow. We expect Brent prices to average $67/bbl this year and $55/bbl next year. WTI prices will average $63/bbl this year and $53/bbl next year. We expect OPEC 2.0 to increase the frequency of its forward guidance - and to follow through on production and inventory adjustment in a manner that supports a desired price range for Brent prices in 2019 and into the 2020s. Right now, that range looks like $50 to $60/bbl. Robert P. Ryan, Senior Vice President Commodity & Energy Strategy rryan@bcaresearch.com Hugo Bélanger, Research Analyst HugoB@bcaresearch.com 1 OPEC 2.0 is a name we coined to describe the oil-producer coalition led by the Kingdom of Saudi Arabia (KSA) and Russia, which was formed at the end of 2016 to rein in out-of-control global oil production by cutting production some 1.4 to 1.5mm b/d last year (vs. a target of 1.8mm b/d). The coalition has been remarkably successful in maintaining production discipline in 2017 and extending their deal to the end of 2018 with an option to review quotas in June. We expect OPEC 2.0 to gradually return production taken off the market over the course of 2H18, which will, by next year, most likely reverse the draws seen in global inventories. 2 KSA's production should lift next year as pipeline repairs at its giant Manifa field are completed. Corrosion problems took some 300k of 900k b/d total production offline. In addition, there is another 500k b/d of capacity offline in the Neutral Zone shared with Kuwait. KSA's capacity likely will remain ~ 11.7mm b/d, versus its historical 12.5mm level, but as Energy Intelligence notes, it will have to balance actual production with spare capacity for the next year or so. Please see "A Headache for Aramco," published July 2017 by Energy Intelligence on its website. 3 Please see "CORRECTED-UPDATE 5-Brent oil falls by $1 but demand underpins near $70/barrel," published by uk.reuters.com on January 16, 2018. 4 In its December 2017 Dallas Fed Energy Survey, the Federal Reserve Bank of Dallas reported the WTI price shale operators needed to profitably drill a new well in Texas and Oklahoma averaged $49/bbl (simple, unweighted survey average). The lowest cost was in the Permian Midland formation ($46/bbl) and the highest costs was in so-called Other U.S. (shale) at $55/bbl. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Trades Closed in 2018 Summary of Trades Closed in 2017
Highlights An increase in the "synthetic" supply of bitcoins via financial derivatives, along with the launch of bitcoin-like alternatives by large established tech companies, will cause the cryptocurrency market to collapse under its own weight. Other areas that could see supply-induced pressures over the coming years include oil, high-yield debt, global real estate, and low-volatility trades. In contrast, the U.S. stock market has seen an erosion in the supply of shares due to buybacks and voluntary delistings. Investors should consider going long U.S. equities relative to high-yield credit, while positioning for higher volatility. Such an outcome would be similar to what happened in the late 1990s, a period when the VIX and credit spreads were trending higher, while stocks continued to hit new highs. A breakdown in NAFTA talks remains the key risk for the Canadian dollar and Mexican peso. Feature Bubbles Burst By Too Much Supply The "cure" for higher prices is higher prices. The dotcom and housing bubbles did not die fully of their own accord. Their demise was expedited by a wave of new supply hitting the market. In the case of the dotcom bubble, a flood of shares from initial and secondary public offerings inundated investors in 2000 (Chart 1). This put significant downward pressure on the prices of internet stocks. The housing boom was similarly subverted by a slew of new construction - residential investment rose to a 55-year high of 6.6% of GDP in 2006 (Chart 2). Chart 1Burst By Too Much Supply: Example 1 Chart 2Burst By Too Much Supply: Example 2 Is bitcoin about to experience a similar fate? On the surface, the answer may seem to be "no." As more bitcoins are "mined," the computational cost of additional production rises exponentially. In theory, this should limit the number of bitcoins that can ever circulate to 21 million, about 80% of which have already been created (Chart 3). Yet if one looks beneath the surface, bitcoin may also be vulnerable to a variety of "supply-side" factors. Chart 3Bitcoin: Most Of It Has Been Mined First, the expansion of financial derivatives tied to the value of bitcoin threatens to create a "synthetic" supply of the cryptocurrency. When someone writes a call option on a stock, the seller of the option is effectively taking a bearish bet while the buyer is taking a bullish bet. The very act of writing the option creates an additional long position, which is exactly offset by an additional short position. Moreover, to the extent that a decision to sell a particular call option will depress the price of similar call options, it will also depress the underlying price of the stock. This is simply because one can have long exposure to a stock either by owning it outright or owning a call option on it. Anything that hurts the price of the latter will also hurt the price of the former. As bitcoin futures begin to trade, investors who are bearish on bitcoin will be able to create short positions that cause the effective number of bitcoins in circulation to rise. This will happen even if the official number of bitcoins outstanding remains the same. Imitation Is The Sincerest Form Of Flattery An increase in synthetic forms of bitcoin supply is one worry for bitcoin investors. Another is the prospect of increased competition from bitcoin-like alternatives. There are now hundreds of cryptocurrencies, most of which use a slight variant of the same blockchain technology that underpins bitcoin. Chart 4Governments Will Want Their Cut So far, the proliferation of new currencies has been largely driven by technologically savvy entrepreneurs working out of their bedrooms or garages. But now companies are getting in on the act. The stock price of Kodak, which apparently is still in business, tripled earlier this week when it announced the launch of its own cryptocurrency. That's just a small taste of what's to come. What exactly is stopping giants such as Facebook, Amazon, Netflix, and Google from issuing their own cryptocurrencies? After all, they already have secure, global networks. Amazon could start giving out a few coins with every sale, and allow shoppers to purchase goods from the online retailer using its new currency. It's simple.1 The only plausible restriction is a legal one: The threat that governments will quash upstart cryptocurrencies for fear that will drive down demand for their own fiat monies. As we noted several weeks ago, the U.S. government derives $100 billion per year in seigniorage revenue from its ability to print currency and use that money to buy goods and services (Chart 4).2 As large companies get into the cryptocurrency arena, governments are likely to respond harshly - sooner rather than later. This week's news that the South Korean government will consider banning the trading of cryptocurrencies on exchanges is a sign of what's to come. Who Else? What other areas are vulnerable to an eventual tsunami of new supply? Four come to mind: Oil: BCA's bullish oil call has paid off in spades. Brent has climbed from $44 last June to $69 currently. Further gains may not be as easily attainable, however. Our energy strategists estimate that the breakeven cost of oil for U.S. shale producers is in the low-$50 range.3 We are now well above this number, which means that shale supply will accelerate. This does not mean that prices cannot go up further in the near term, but it does limit the long-term potential for crude. Real estate: Ultra-low interest rates across much of the world have fueled sharp rallies in home prices. Inflation-adjusted home prices in Canada, Australia, New Zealand, and parts of Europe are well above their pre-Great Recession levels (Chart 5). U.S. real residential home prices are still below their 2006 peak, but commercial real estate (CRE) prices have galloped to new highs (Chart 6). Rent growth within the U.S. CRE sector is starting to slow, suggesting that supply is slowly catching up with demand (Chart 7). Chart 5Where Low Rates Have ##br##Fueled House Prices Chart 6Commercial Real Estate Prices Have ##br##Surpassed Pre-Recession Levels Chart 7Rent Growth Is Cooling Corporate debt: Low rates have also encouraged companies to feast on credit. The ratio of corporate debt-to-GDP in the U.S. and many other countries is close to record-high levels (Chart 8A and Chart 8B). Credit spreads remain extremely tight, but that may change as more corporate bonds reach the market. Chart 8ACorporate Debt-To-GDP ##br##Is Close To Record Highs Chart 8BCorporate Debt-To-GDP ##br##Is Close To Record Highs Low-volatility trades: A recent Bloomberg headline screamed "Short-Volatility Funds Are Being Flooded With Cash."4 The number of volatility contracts traded on the Cboe has increased more than tenfold since 2012. Net short speculative positions now stand at record-high levels (Chart 9). Traders have been able to reap huge gains over the past few years by betting that volatility will decline. The problem is that if volatility starts to rise, those same traders could start to unload their positions, leading to even higher volatility. In contrast to the aforementioned areas, the stock market has seen an erosion in the supply of shares due to buybacks and voluntary delistings. The S&P divisor is down by over 8% since 2005. The number of U.S. publicly-listed companies has nearly halved since the late 1990s (Chart 10). This trend is unlikely to reverse any time soon, given the elevated level of profit margins and the temptation that many companies will have to use corporate tax cuts to step up the pace of share repurchases. Chart 9Low Volatility Is In High Demand Chart 10Erosion Of Supply In The Stock Market Bet On Higher Equity Prices, But Also Higher Volatility And Higher Credit Spreads The discussion above suggests that the relationship between equity prices and both volatility and credit spreads may shift over the coming months. This would not be the first time. Chart 11 shows that the VIX and credit spreads began to trend higher in the late 1990s, even as the S&P 500 continued to hit new record highs. We may be entering a similar phase now. Continued above-trend growth in the U.S. and rising inflation will push up Treasury yields. We declared "The End Of The 35-Year Bond Bull Market" on July 5, 2016 - the exact same day that the 10-year Treasury yield hit a record closing low of 1.37%.5 Higher interest rates will punish financially-strapped borrowers, leading to wider credit spreads. Equity volatility is also likely to rise as corporate health deteriorates and the timing of the next downturn draws closer. Our baseline expectation is that the U.S. and the rest of the world will fall into a recession in late 2019. Financial markets will sniff out a recession before it happens. However, if history is any guide, this will only happen about six months before the start of the recession (Table 1). This suggests that global equities can continue to rally for the next 12 months. With this in mind, we are opening a new trade going long the S&P 500 versus high-yield credit. Chart 11Volatility Can Increase And Spreads ##br##Can Widen As Stock Prices Rise Table 1Too Soon To Get Out Four Currency Quick Hits Four items buffeted currency and fixed-income markets this week. The first was a news story suggesting that China will slow or stop its purchases of U.S. Treasury debt. China's State Administration of Foreign Exchange (SAFE) decried the report as "fake news." Lost in the commotion was the fact that China's holdings of Treasurys have been largely flat since 2011 (Chart 12). China still has a highly managed currency. Now that capital is no longer pouring out of the country, the PBoC will start rebuilding its foreign reserves. Given that the U.S. Treasury market remains the world's largest and most liquid, it is hard to see how China can avoid having to park much of its excess foreign capital in the United States. The second item this week was the Bank of Japan's announcement that it will reduce its target for how many government bonds it buys. This just formalizes something that has already been happening for over a year. The BoJ's purchases of JGBs have plunged over the past twelve months, mainly because its ¥80 trillion target is more than double the ¥30-35 trillion annual net issuance of JGBs (Chart 13). Chart 12China's Holdings Of Treasurys: ##br##Largely Flat Since 2011 Chart 13BoJ Has Been Reducing ##br##Its Bond Purchases Ultimately, none of this should matter that much. The Bank of Japan can target prices (the yield on JGBs) or it can target quantities (the number of bonds it owns), but it cannot target both. The fact that the BoJ is already doing the former makes the latter irrelevant. And with long-term inflation expectations still nowhere near the BoJ's target, the former is unlikely to change. What does this mean for the yen? The Japanese currency is cheap and its current account surplus has swollen to 4% of GDP (Chart 14). Speculators are also very short the currency (Chart 15). This increases the likelihood of a near-term rally, as my colleague Mathieu Savary flagged this week.6 Nevertheless, if global bond yields continue to rise while Japanese yields stay put, it is hard to see the yen moving up and staying up a lot. On balance, we expect USD/JPY to strengthen somewhat this year. Chart 14Yen Is Already Cheap... Chart 15...And Unloved The third item was the revelation in the ECB's December meeting minutes that the central bank will be revisiting its communication stance in early 2018. The speculation is that the ECB will renormalize monetary policy more quickly than what the market is currently discounting. If that were to happen, EUR/USD would strengthen further. All this is possible, of course, but it would likely require that euro area growth surprise on the upside. That is far from a done deal. The euro area economic surprise index has begun to edge lower, and in relative terms, has plunged against the U.S. (Chart 16). Unlike in the U.S., the euro area credit impulse is now negative (Chart 17). Euro area financial conditions have also tightened significantly relative to the U.S. (Chart 18). Chart 16Euro Area Economic ##br##Surprises Edging Lower Chart 17Negative Credit Impulse In The Euro ##br##Area Will Weigh On Growth Chart 18Diverging Financial Conditions ##br##Favor U.S. Over The Euro Area Meanwhile, EUR/USD has appreciated more since 2016 than what one would expect based on changes in interest rate differentials (Chart 19). Speculative positioning towards the euro has also gone from being heavily short at the start of 2017 to heavily long today (Chart 20). Reasonably cheap valuations and a healthy current account surplus continue to work in the euro's favor, but our best bet is that EUR/USD will give up some of its gains over the coming months. Chart 19The Euro Has Strengthened More Than ##br##Justified By Interest Rate Differentials Chart 20Euro Positioning: From Deeply ##br##Short To Record Long Lastly, the Canadian dollar and Mexican peso came under pressure this week on news reports that the U.S. will be pulling out of NAFTA negotiations. Of the four items discussed in this section, this is the one that worries us most. The global supply chain has become highly integrated. Anything that sabotages it would be greatly disruptive. At some level, Trump realizes this, but he also knows that his base wants him to get tough on trade, and unless he does so, his chances of reelection will be even slimmer than they are now. Ultimately, we expect a new NAFTA deal to be reached, but the path from here to there will be a bumpy one. Housekeeping Notes Our long global industrials/short utilities trade is up 12.4% since we initiated it on September 29. We are raising the stop to 10% to protect gains. We are also letting our long 2-year USD/Saudi Riyal forward contract trade expire for a loss of 2.9%. Given the recent improvement in Saudi Arabia's finances, we are not reinstating the trade. Peter Berezin, Chief Global Strategist Global Investment Strategy peterb@bcaresearch.com 1 My thanks to Igor Vasserman, President of SHIG Partners LLC, for his valuable insights on this topic. 2 Please see Global Investment Strategy Special Report, "Bitcoin's Macro Impact," dated September 15, 2017; and Global Investment Strategy Weekly Report, "Don't Fear A Flatter Yield Curve," dated December 22, 2017. 3 Please see Energy Sector Strategy Weekly Report, "Breakeven Analysis: Shale Companies Need ~$50 Oil To Be Self-Sufficient," dated March 15, 2017. 4 Dani Burger, "Short-Volatility Funds Are Being Flooded With Cash," Bloomberg, November 6, 2017. 5 Please see Global Investment Strategy Special Alert, "End Of The 35-year Bond Bull Market," dated July 5, 2016. 6 Please see Foreign Exchange Strategy, "Yen: QQE Is Dead! Long Live YCC!" dated January 12, 2018. Tactical Global Asset Allocation Recommendations Strategy & Market Trends Tactical Trades Strategic Recommendations Closed Trades
Special Report Feature The existence of 'mini-cycles' in economic and financial variables is an empirical fact. We encourage readers to plot for themselves the change in global bank credit flows, the global bond yield, global inflation, and metal price inflation. The very clear and regular mini-cycles should shout out at you (Chart I-2, Chart I-3, Chart I-4, Chart-5). Feature ChartThe Cobweb Theory Explains The Regular Mini-Cycles In Economic And Financial Variables Chart I-2Mini-Cycles In Global Credit Flows Chart I-3Mini-Cycles In The Global Bond Yield Chart I-4Mini-Cycles In Global Inflation Chart I-5Mini-Cycles In Metal Price Inflation Identifying these mini-cycles is very useful because it helps us to predict the future. Just as we know when the tide will go out and come back in, we can predict the mini-cycle's downswings and upswings. And if most market participants are unaware of the next turn in the mini-cycle, it will not be discounted in today's price - providing a compelling investment opportunity. The obvious question is: if the existence of mini-cycles is an empirical fact, what is its theoretical foundation? Dusting Down The Cobweb Theory A likely answer comes from an economic model called the Cobweb Theory, first proposed in the 1930s by several economists, among them Althus Hanau and Nicholas Kaldor. The Cobweb Theory is so called because when its predicted pattern of price and output mini-cycles is traced out on a standard price/quantity diagram, it resembles a cobweb (Chart I-6, Chart 7, Chart I-8). Chart I-6Cobweb Theory Case 1: ##br## Regular Mini-Cycles Chart I-7Cobweb Theory Case 2: ##br##Divergent Mini-Cycles Chart I-8Cobweb Theory Case 3: ##br##Convergent Mini-Cycles The Cobweb Theory is based on a simple premise: lagging supply. The demand for an item depends on its price in the current period, but the supply of the item depends on its price in the previous period. Or equivalently, the price in the current period influences the supply in the next period. In the 1930s, economists used the theory to explain the mini-cycles in agricultural output and prices. Most crops can be sown and reaped only once a year. Therefore, an unanticipated increase in demand will cause a sharp rise in price - because there can be no immediate increase in supply. This high price may lure farmers to increase their output more than is justified by future demand. So when this supply eventually comes on the market, it will cause a sharp fall in price. In turn this will result in a decrease in output for the next period to a greater extent than is justified. And so on. More generally, the Cobweb Theory applies in any market where supply lags demand. Under this simple premise, the market price will produce a two-period oscillation with the actual price being alternately above and below the equilibrium price. When the price is above equilibrium, it falls in the next period as supply adjusts upwards; and when the price is below equilibrium, it rises in the next period as supply adjusts downwards. But supply tends to over-adjust, causing both the quantity and price to overshoot and undershoot equilibrium repeatedly - effectively creating a mini-cycle (see Box I-1). Box I-1The Cobweb Theory Of Cycles The Cobweb Theory Of Credit Demand And Supply We now come to a key point: credit demand and supply often meet the conditions of the Cobweb Theory. Chart I-9 illustrates that the credit demand cycle is perfectly coincident with the bond yield cycle. Whereas Chart I-10 and Chart I-11 demonstrate that the credit supply cycle can often lag the credit demand cycle - and therefore the bond yield cycle - by several months. One obvious explanation is that unless you have an (unexpended) existing credit line to draw upon, there will be a lag between applying for credit and receiving it. Chart I-9The Credit Demand Cycle Is Coincident ##br##With The Bond Yield Cycle... Chart I-10...But The Credit Supply Cycle Lags ##br##The Credit Demand Cycle... Chart I-11...And The Bond ##br##Yield Cycle With credit demand and supply meeting the conditions of the Cobweb Theory, both the quantity and the price of credit (the bond yield) should exhibit mini-cycles. And as the charts in this report attest, they do. What about the mini-cycles in commodity inflation and broader CPI inflation? Given that these closely track the credit impulse mini-cycle (Feature Chart), we can deduce that they must be mostly a reflection of the mini-cycle in global demand growth. Still, could the commodity inflation mini-cycle also be impacted by the supply-side, as postulated for agricultural prices in the original Cobweb Theory? Interestingly, a recent paper, "The cobweb theorem and delays in adjusting supply in metals" markets,1 does "link the dynamics of raw material markets and commodity price fluctuations to a delayed adjustment of supply." However, the supply lags mentioned in the paper are too long to explain the half-cycle lengths typically observed in the commodity inflation mini-cycle. This would confirm that this mini-cycle is mostly a demand-side phenomenon. But the paper does also point out that speculation on futures markets may lead to higher volatility. This implies that while the phases of the mini-cycles should stay closely aligned, the amplitudes of the commodity inflation and credit impulse mini-cycles can deviate. Which is precisely what we observe in the data (Chart I-12). Chart I-12The Various Mini-Cycles Have Similar Periods But Different Amplitudes What Is The Current Message? Chart I-13The Bond Yield Cycle Explains##br## The Sector Selection Cycle To sum up, global credit flows, the global bond yield, global inflation, and metal price inflation exhibit clear and regular mini-cycles with a consistent half-cycle length averaging around 8 months, but not necessarily a consistent amplitude. We propose that all of these mini-cycles will continue indefinitely, and that they are manifestations of the lagging supply of credit and the Cobweb Theory. In the context of these clear and regular mini-cycles, the current mini-upswing in activity which started last May is getting long in the tooth, and we would expect it to end in early 2018. Having said that, given that the recent upswing in the global bond yield is quite modest, the next mini-downswing in the global credit impulse, and thereby activity, should be quite shallow. Nevertheless, in terms of investment implications, any mini-upswing in price since last May that has displayed an outsize amplitude would be more vulnerable to a setback. Industrial metal prices might be in this vulnerable category. Furthermore, the mini-cycle framework has been an important driver of cyclical versus defensive sector performance over the past few years (Chart I-13), and likely will continue to be an important driver. On a 6-9 month horizon, the current message would be to pare back exposure to cyclical sectors and to tilt towards defensive-biased equity markets such as Switzerland and Denmark. Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com 1 System Dynamics Review, April 2017: 'The cobweb theorem and delays in adjusting supply in metals' markets' by Glöser-Chahoud, Hartwig, Wheat and Faulstich. Fractal Trading Model* This week's trade is to expect a countertrend reversal in S&P500 versus Eurostoxx50 performance. Set a profit target of 2.0% with a symmetrical stop-loss. In other trades, long IBEX35 / short Eurostoxx50 closed in profit while short WTI crude closed at its stop-loss. For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment's fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. Chart 14 The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions. * For more details please see the European Investment Strategy Special Report "Fractals, Liquidity & A Trading Model," dated December 11, 2014, available at eis.bcaresearch.com Fractal Trading Model Recommendations Equities Bond & Interest Rates Currency & Other Positions Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch##br## - Interest Rate Expectations Chart II-6Indicators To Watch ##br##- Interest Rate Expectations Chart II-7Indicators To Watch ##br##- Interest Rate Expectations Chart II-8Indicators To Watch ##br##- Interest Rate Expectations
Highlights Question #1: Will global growth remain above trend? Yes. Question #2: Will growth continue to outperform outside the U.S.? No. Question #3: Will productivity growth pick up? Yes, but only cyclically. The structural outlook remains bleak. Question #4: Will continued strong global growth finally deliver higher inflation? Yes, although the increase in inflation will be gradual and concentrated in economies that already have little spare capacity. Feature Global Growth In Focus We wish all our readers a joyous and prosperous 2018. As the new year begins, four questions about the global growth outlook loom large. Question #1: Will global growth remain above trend? Our answer: Yes. It is likely that global growth will come down a notch from its current elevated pace. However, it should remain firmly above trend. For one thing, the global economy continues to exhibit a lot of positive momentum. Real-time measures of economic activity, such as the Goldman Sachs Current Activity Indicator (CAI), highlight that global real GDP is rising at a robust pace (Chart 1). Our global leading indicator, as well as a wide swath of PMI data, suggest that this trend has legs (Chart 2). Chart 1APositive Global Growth Momentum Can Be Seen Here Chart 1BPositive Global Growth Momentum Can Be Seen Here Since 1980, above-trend global growth in one year has been accompanied by above-trend growth in the following year nearly three-quarters of the time. This bodes well for 2018. Chart 2... And Here Too Chart 3Financial Conditions Tend To Lead Growth By Six-To-Nine Months Global financial conditions eased significantly in 2017, thanks mainly to higher equity prices and narrower credit spreads. Easier financial conditions tend to benefit growth with a 6-to-9 month lag (Chart 3). The 6-month global credit impulse, which tends to lead activity, is also positive (Chart 4). Fiscal policy should remain stimulative. The fiscal thrust moved into positive territory in advanced economies in 2016-17 and this should remain the case in 2018 (Chart 5). Tax cuts will add about 0.3 percentage points to U.S. growth, while hurricane reconstruction spending and a likely congressional agreement to raise the cap on federal discretionary spending will add another 0.2 points. Chart 4Positive Credit Impulse Is Another Tailwind For Growth Chart 5Fiscal Policy Has Turned More Stimulative Our political strategists expect further fiscal easing in Japan this year. They also believe that German coalition talks will produce more government spending, with the SDP extracting concessions from Merkel on public investment and the CSU securing a commitment for more defense expenditure. On the flipside, our strategists expect some fiscal tightening in France as President Macron takes steps to trim France's bloated welfare state. Question #2: Will growth continue to outperform outside the U.S.? Our answer: No. Global revisions were more favorable outside the U.S. in the first nine months of 2017, which helps explain why the dollar came under downward pressure (Chart 6). More recently, U.S. growth estimates have begun to drift higher. As a result, the U.S. surprise index has surged relative to those of other economies (Chart 7). Chart 6U.S. Growth Expectations Were Lagging... ##br## But Not Anymore Chart 7U.S. Economic Surprise Index Increased ##br## Relative To Those Of Other Countries We expect the data to continue to favor the U.S. Aggregate U.S. hours worked in November was up 3.4% at an annualized rate over Q3 levels. If we add in productivity growth, Q4 GDP growth was probably in excess of 4% - well above current consensus estimates. Financial conditions have eased a lot more in the U.S. than in the rest of the world. Fiscal policy is also set to loosen relatively more in the U.S. Euro area growth is likely to tick lower next year from its current stellar pace, as the impact of a stronger euro begins to bite. The 6-month credit impulse has already turned negative there. Japanese growth should also cool somewhat from the heady pace of 2.7% seen over the past two quarters. The Chinese economy will decelerate modestly in 2018. The authorities are tightening the screws on the shadow banking system, expediting efforts to reduce excess capacity in the industrial sector, and clamping down on corruption. All of these reforms will pay off in the long run, but they could dent growth in the short run. Question #3: Will productivity growth pick up? Our Answer: Yes, but only cyclically. The structural outlook remains bleak. U.S. nonfarm productivity rose by 1.5% over the prior year in Q3, well above the post-2010 average of 0.8%. This improvement occurred despite the fact that low-skilled workers continue to re-enter the labor market - dragging down output-per-hour in the process - a phenomenon that is not well captured by the official productivity data. Productivity growth elsewhere in the world also appears to be on the upswing (Chart 8). Increased business investment should support productivity in 2018. Corporate surveys indicate that a rising percentage of companies anticipate boosting capital budgets (Chart 9). This often happens in the last few innings of business-cycle expansions, as more companies begin to experience capacity constraints. Chart 8Productivity Growth Showing Signs Of ##br## A Tentative Recovery Chart 9Surveys Are Signaling Acceleration ##br## In Capex Unfortunately, while the cyclical outlook for productivity is improving, the structural backdrop remains downbeat. As we have discussed in the past, flagging educational achievement, decreased creative destruction, and a shift in technological innovation towards consumers and away from businesses all augur poorly for future productivity trends.1 The much-hyped Amazon effect makes for good news stories, but is not borne out by the data.2 Question #4: Will continued strong global growth finally deliver higher inflation? Our answer: Yes, although the increase in inflation will be gradual and concentrated in economies that already have little spare capacity. Chart 10A Pick-Up In Wage Growth Would Put Upward Pressure ##br## On Service Inflation Going into 2017, the Fed had expected core PCE inflation to end the year at 1.9%. It is likely to have finished the year at only 1.5%. We expect core PCE inflation to move toward 2% by the end of 2018. Wage growth should accelerate as the labor market continues to tighten. This should put upward pressure on service inflation (Chart 10). Goods price inflation should also recover due to the lagged effects of a weaker dollar and the bleed-through of higher energy prices into several core components of the CPI (airline fares being a notable example). Slower rent growth will dampen inflation. However, this will be partially offset by higher health care prices. The cost control measures introduced in the Affordable Care Act helped push down PCE health care services inflation from 3% in late 2010 to less than 0.5% in early 2016 (Chart 11). Many of these measures have been realized, and as a consequence, health care inflation has begun to revert to its long-term trend (though in level terms, the savings to consumers remain). The Republican tax bill could put some upward pressure on health care costs. The Congressional Budget Office estimates that the repeal of the Individual Mandate will raise premiums on health care exchanges by 10% because a larger share of healthy individuals will decide to forgo buying health insurance.3 Japanese inflation should move modestly higher in 2018, but from extremely depressed levels. The Japanese unemployment rate is now a full percentage point lower than in 2007 and the ratio of job opening-to-applicants has reached the highest level since 1974 (Chart 12). Chart 11U.S. Inflation Breakdown Chart 12Japan's Tightening Labor Market Euro area inflation will be held down by the lagged effects of a stronger euro and continued high levels of slack across southern Europe. Outside Germany, labor market underutilization is still 6.3 percentage points higher than it was in 2008 (Chart 13). U.K. inflation should edge lower as the spike in import prices stemming from the post-Brexit pound depreciation dissipates. Chart 13There Is Still Labor Market Slack Outside Of Germany Investment Conclusions A shift in global growth leadership back towards the U.S. would benefit the beleaguered U.S. dollar. Higher U.S. inflation will prompt the Fed to raise rates four times in 2018, one more hike than implied by the dots and two more hikes than implied by current market expectations. Rising inflation should also keep Treasury yields on an upward trajectory. We expect the 10-year yield to finish 2018 at around 3%. As long as inflation is rising in response to stronger growth, and from below-target levels, both U.S. and global risk assets should continue to rally. Only once U.S. inflation rises above 2% in 2019, and growth begins to slow on the back of binding supply-side constraints, will equities flounder. Stay long stocks for now, but look to significantly trim exposure towards the end of the year. Regionally, we favor euro area and Japanese equities over U.S. stocks for the next 12 months on a currency-hedged basis. Both the euro area and Japanese stock markets are dominated by large multinational companies whose prospects are geared more towards global growth than demand in their own regions. Above-trend global growth and rising capital spending should disproportionately benefit European and Japanese bourses, given that they have a greater tilt towards cyclically-sensitive companies. Valuations also tend to favor non-U.S. stocks. Peter Berezin, Chief Global Strategist Global Investment Strategy peterb@bcaresearch.com 1 Please see Global Investment Strategy Special Report, "Is Slow Productivity Growth Good Or Bad For Bonds?," dated May 31, 2017; Weekly Report, "A Secular Bottom In Inflation," dated July 28, 2017; and Weekly Report, "Is The Phillips Curve Dead Or Dormant?" dated September 22, 2017. 2 Please see Global Investment Strategy Special Report, "Did Amazon Kill The Phillips Curve?" dated September 1, 2017. 3 Please see "Repealing the Individual Health Insurance Mandate: An Updated Estimate," Congressional Budget Office, dated November 8, 2017. Strategy & Market Trends Tactical Trades Strategic Recommendations Closed Trades
Highlights A "decision tree" for the allocation to Chinese stocks highlights several key questions for investors over the coming year. The equity allocation decision hinges on the condition of the global economy, the stance of monetary policy, the pace of structural reforms, and the character of the ongoing economic slowdown. Despite several identifiable risks, our "decision tree" suggests that investors should be overweight Chinese vs global stocks. Feature Unlike in past years, BCA's China Investment Strategy service published its 2018 themes report in December, as an addendum to BCA's special year end Outlook report.1 Our final report for 2017 echoed our key themes by recapping some of the most important developments in China last year, as well as their longer-term implications.2 These reports outline our framework for evaluating China's economy in 2018, and will serve as an important reference point over the coming months relating to the pace of China's economic slowdown, policymakers' actions and priorities, and investor attitudes toward Chinese assets. In today's brief report, we begin the New Year by walking through the Chinese equity "decision tree" that flows from the framework that we detailed in our themes piece noted above (Chart 1). The chart presents a set of questions that should be answered over the coming 6-12 months in order to decide on the ideal allocation to Chinese equities within a global portfolio. We elaborate on the decision tree below. Chart 1The Chinese Equity "Decision Tree" Is The Global Economy Slowing Significantly?: Developments in China need to be considered within a global context. We have noted in previous reports that a synchronized global economic slowdown was a key factor behind China's economic slowdown in 2015.3 If global growth were to slow significantly this year, it would bode poorly for the relative performance of Chinese stocks. Next week's report will discuss the evolution of the alpha and beta characteristics of China's investable stock market; while our research is still ongoing, the evidence suggests that Chinese equities in US$ terms have become a high-beta market that would likely suffer in relative terms if the global equity market stumbles. Chart 1 highlights that the appropriate allocation to Chinese equities vs global stocks is underweight if the answer to this first question is yes, with the upgrade/downgrade bias determined simply by whether there has been an appropriate response from Chinese and global policymakers. Is Significant Further Monetary Policy Tightening Likely?: Overly tight monetary policy was the second ingredient that contributed to the 2015 slowdown. Monetary conditions tightened somewhat in the first half of 2017 (Chart 2), but the overall stance is not restrictive. Taken alone, hawkish rhetoric from the PBOC would imply that significant further tightening is imminent. However our sense is that the bark of monetary authorities will be worse than their bite over the coming months, especially since growth momentum and house price appreciation has already peaked. Is The Pace Of Renewed Structural Reforms Likely To Be Aggressive?: October's Party Congress heralded stepped-up reform efforts in 2018 and beyond, which we have highlighted is a risk to a constructive stance towards Chinese stocks. While the "status quo" scenario of no significant reforms is highly unlikely, the intensity of reforms pursued over the coming year will have to be closely monitored by policymakers to avoid a repeat of the 2015 experience. Even if policymakers feel that their threshold for pain will be higher in 2018 than has previously been the case, they are very likely to avoid a significant slowdown as it would raise the risk of returning to the exact set policies that they are trying to turn away from. In other words, an intense pace of reform would risk turning a "two steps forward, one back" situation into a full-blown retreat from structural reform momentum. For now, our China Reform Monitor continues to suggest that reform intensity will be consistent with a rising equity market (Chart 3). Chart 2Chinese Monetary Conditions ##br##Have Tightened Chart 3Investors Don't Believe That Reforms##br## Will Upset The Apple Cart Is The Existing Slowdown In China's Growth Momentum Metastasizing? Our view of China's significant growth slowdown in 2015 suggests that the end of the recent economic "mini-cycle" is likely to be benign and controlled, absent a policy mistake or a major global shock. However, it is possible that the lagged effect of a deceleration in export growth and tighter monetary policy, both of which have already occurred, could cause a broader or deeper slowdown in economic growth beyond what we have already observed. In order to gauge this risk, we tested a wide range of commonly-watched macro data series for signs that they reliably lead economic activity in China,4 using the Li Keqiang index as our proxy for the business cycle. We concluded that measures of money & credit are among the most important predictors, and presented a composite leading indicator of the Li Keqiang index based on six series that passed our test criteria (Chart 4). For now, our indicator suggests that the Chinese economy will continue to slow over the coming months, but that the pace and magnitude of the decline will be benign and controlled. The first question in our decision tree is the easiest to answer: The highly synchronized nature of global economic growth suggests that a significant slowdown is not imminent, even if the pace of growth becomes narrower or slows modestly (Chart 5). While our decision tree highlights that answering "yes" to any of the last three questions means that investors should have a negative bias towards Chinese investable stocks (and should downgrade them in response to a technical breakdown), these questions are still addressing risks rather than probable events. This supports our current recommendation of being overweight Chinese investable equities with a positive bias. Chart 4The Chinese Economy##br## Will Gradually Slow Chart 5No Sign Of A Significant ##br##Global Economic Slowdown As a final point, some investors and market participants have noted that investable Chinese stocks experienced a non-trivial selloff at the end of 2017, with some questioning whether it is a harbinger of a more pronounced economic slowdown. Our answer is no, for two reasons. First, there is some evidence to suggest that the selloff was technical in nature, as the sectors that had experienced the largest gains prior to the selloff also experienced the largest declines (Chart 6). Second, the timing of the relative selloff in Chinese stocks coincided exactly with a relative selloff in the global tech sector (Chart 7), which is strongly indicative of a common, global, factor. But given the underlying strength in the global economy, we regard this event as idiosyncratic and do not view it as a threat to the relative performance of Chinese vs global stocks over the coming year. Chart 6The Late-Year Selloff Was Partially ##br##Driven By Technical Conditions Chart 7Global Tech Also Drove The Selloff##br## In Chinese Relative Performance Bottom Line: While there are several identifiable risks that need to be monitored in 2018, for now our "decision tree" for the relative allocation to Chinese equities suggests that investors should be overweight within a global equity portfolio. Jonathan LaBerge, CFA, Vice President Special Reports jonathanl@bcaresearch.com 1 Please see BCA Special Report, "2018 Outlook - Policy And The Markets: On A Collision Course," dated November 20, 2017, and Weekly Report, "Three Themes For China In The Coming Year", dated December 7, 2017, available at cis.bcaresearch.com. 2 Please see China Investment Strategy Weekly Report, "Legacies Of 2017", dated December 21, 2017, available at cis.bcaresearch.com. 3 Please see China Investment Strategy Weekly Report, "Tracking The End Of China's Mini-Cycle", dated October 12, 2017, and "China's Economy - 2015 vs Today (Part 1): Trade", dated October 26, 2017, available at cis.bcaresearch.com. 4 Please see China Investment Strategy Special Report, "The Data Lab: Testing The Predictability Of China's Business Cycle", dated November 30, 2017, available at cis.bcaresearch.com. Cyclical Investment Stance Equity Sector Recommendations