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Highlights Bond yields have fallen a lot since the beginning of November, … : At the close on November 8th, the 10-year Treasury bond yielded 3.24%. By last Monday, it was yielding just 2.07%. … but the move isn’t terribly anomalous relative to history: In terms of nominal yields, the decline was just over a one-standard-deviation event; per real yields, it amounted to a -0.7 sigma move. The Fed may be preparing for a rate cut, but overweight duration positions will only pay off if several more follow: A one-and-done rate cut would stretch out the expansion and the bull markets in equities and spread product, but Treasuries are priced for an extended rate-cutting cycle. Feature Stocks are said to be the only asset that people want more of when prices rise, and less of when they fall. Lately, bonds have also seemed to have an upward-sloping demand curve, because more and more people have bought them as they’ve gotten more expensive. A BCA client who’s been shaking his head at the action got in touch with us last week to try to make some sense of it all. Experience tells him that big moves like the one that’s been unfolding since last November don’t go on forever. When they stop, mean reversion would suggest that they’re prone to retrace a good bit of territory. He came to us for some historical context to support or contradict his intuition, as summed up in something like the following statement. “Over the past 50 years, the current move equates to an x-standard-deviation event. Following similar instances, rates have risen by x basis points over the next six months, and by y basis points over the next twelve months.” The Empirical Record The sharp decline in the 10-year Treasury yield that began in early November can be viewed as three separate declines (Chart 1). In the first, the 10-year yield fell by 68 basis points (“bps”) over a span of 37 trading days. After retracing a third of the decline over the next 11 sessions, it slid by another 40 bps over 48 days. Following a one-half retracement over the ensuing 13 days, it shed 53 basis points in 32 days, capped off by a 36-bps decline across the final eight sessions (Table 1). Chart 1The Path To 2.07% Table 1A Lower 10-Year Treasury Yield In Three Steps Using the daily 10-year Treasury yield series beginning in 1962, we compared the individual yield declines for prior 37-, 48- and 32-day periods, as well as for the aggregate 141-day session spanning the entire stretch from the November 8th peak to the June 3rd trough. We also looked at the May 21st to June 3rd crescendo relative to past eight-day segments. The standardized moves range from three-quarters of a standard deviation below the mean for the 48-day middle leg to 1.5 and 1.8 for the 37- and 8-day moves, respectively (Table 2). All in all, the entire move grades out to 1.3 standard deviations below the mean – a somewhat unusual move, but nothing too special. Table 2Standardized Values Of Nominal 10-Year Treasury Yield Declines The current decline’s relative stature is undermined by the wild volatility of the late ‘70s and early ‘80s, when bond yields and annual inflation reached double-digit levels (Chart 2). To try to place the current episode on a more equal framework, we also calculated standardized moves in real (inflation-adjusted) yields. On a real basis, however, the current moves made even less of a splash. The 8-day decline (z-score = -1.2) was the only component that was more than a standard deviation from the mean, and the overall move amounted to just 0.7 standard deviations below the mean (Chart 3). Chart 2No Historical Anomaly In The Current Market Chart 3Little Impact In Terms Of Real Yields We are familiar with the electronic financial media’s increasingly popular convention of stating daily yield moves in proportion to the previous day’s closing yield.1 That convention has the advantage of fitting snugly aside stock price quotes on TV and computer screens, but it is ultimately nonsensical. The proportional change in a bond’s yield relative to its starting yield doesn’t come close to approximating the change in the value of that bond. Comparing proportional changes in bond yields across timeframes would be a way of putting today’s yield moves on a more equal footing with yield moves in the high-inflation, high-coupon era of the late seventies and early eighties, but it conveys no practical information. The margin by which long-maturity Treasuries have outperformed intermediate-maturity Treasuries is unusual, ... Our next steps were instead to compare Treasury total returns and the change in the slope of the yield curve to past flattening and steepening episodes. The moves here were also unavailing over both seven- and one-month periods, as the high-coupon ‘70s and ‘80s still dominated (Chart 4). In terms of the change in the 10-year Treasury yield, both nominal and real; Treasury index total returns; and the slope of the yield curve (3-month rate to 10-year yield), both the aggregate move since last October and its three component moves have amounted to one-standard-deviation events. They would only have had about a one-in-six chance of occurring randomly in a normally distributed population, but they do not represent unsustainable moves that cry out to be reversed. Chart 4Little Impact In Terms Of Treasury Total Returns, ... Digging a little deeper to consider total returns across different regions of the yield curve, we do find one apparent anomaly at the long end of the curve. The long Treasury index has outperformed the intermediate Treasury index by a two-standard-deviation margin over both a seven-month and a one-month timeframe (Chart 5). On a standalone basis, the long Treasury index has beaten the seven-month mean return by one-and-a-half standard deviations, and the one-month mean return by two standard deviations (Chart 6). The two-standard-deviation results would only be expected to occur one out of forty times, and thereby validate our client’s sense that something has been going on. ... and history suggests they’ll be partially unwound over the next six to twelve months. Chart 5... But The Spread Between Long- And Intermediate-Index Returns Is Wide, ... Chart 6... And Long-Maturity Returns Have Been Elevated Moving on to the second part of his inquiry, we reviewed the standalone performance of the long Treasury index, and the relative long-versus-intermediate performance, over subsequent six- and twelve-month periods. We focused our analysis on instances when historical z-scores were greater than or equal to their current levels to try to determine if we should expect current performance to reverse and, if so, how sharply. On a standalone basis, long Treasury index performance has gently reverted to the mean over the subsequent six and twelve months, posting returns over those periods within +/- 0.2 standard deviations of its long-run average (Table 3). Table 3Standardized Values Of Future Long-Maturity Treasury Index Returns Outlying relative long-versus-intermediate performance like we’ve witnessed over the last seven months has reversed more convincingly. The long Treasury index has underperformed its intermediate-maturity counterpart over six and twelve months when its z-scores were greater than or equal to their current levels over a seven- and one-month basis, falling roughly 0.5 standard deviations below the mean (Table 4). The future does not have to resemble the past, especially over small sample sizes, but relative long-end underperformance would accord with our constructive view of the U.S. economy. It would also be consistent with our anti-duration and pro-inflation biases. Table 4Standardized Values Of Future Difference Between Long- And Intermediate-Maturity Treasury Index Returns The Fed, Again The consistency of the comments from Fed officials last week would seem to suggest that they are trying to prepare the ground for a rate cut. A cut at next week’s FOMC meeting might be a little too abrupt, but it seems increasingly possible that the committee could guide markets to a cut at the next scheduled meeting at the end of July. Various officials have made it abundantly clear that they view trade tensions as a threat to the economy, and that the bank is prepared to adjust policy, if need be, to sustain the expansion. Uber-dovish St. Louis President Bullard, who said last Monday that, “a downward policy rate adjustment may be warranted soon,” no longer appears to be such an outlier. We do not think a rate cut is necessary, and we would be content to remain on the sidelines if we were on the committee, but our opinion is irrelevant. We endeavor not to be distracted by what we think should happen, devoting our focus instead to determining what’s most likely to happen. To that end, our estimate of the probability that the Fed’s next move might be a cut is rising by the speech/interview. When incorporating that probability into investment strategy, we have been thinking a lot about a question that keeps being raised within BCA: If the Fed cuts rates next week or next month, how will markets respond? Assuming the economic backdrop doesn’t deteriorate, we expect that a rate cut will keep the equity and credit bull markets going. The answer depends heavily on the context in which the Fed cuts, and we assume that if the Fed cuts after the economy has taken a dramatic turn for the worse, risk assets would decline. In that case, markets would presumably read the Fed’s decision as confirmation that things were even worse than they perceived and that a significant bout of risk aversion was right around the corner. On the other hand, if the cut came against a backdrop of decent, if unexciting, economic data, risk assets would likely rally. For an investor who cannot resist injecting his/her opinion into the mix, the market response would be supportive of risk assets if a rate cut was unnecessary, but negative if the economy couldn’t get along without it. Investment Implications We believe that the U.S. economy is doing just fine, thank you, and do not yet see the signs that the expansion requires more monetary accommodation if it is to continue. Assuming that the cast of the incoming data does not change enough to change our view, we would expect that a rate cut would defer the end of the expansion and thereby defer the end of the bull markets in risk assets. We are therefore content to stick with our recommendation that investors should remain at least equal weight equities and spread product. We are still looking for restrictive monetary policy to be the catalyst that ends the expansion, and anything that pushes restrictiveness further into the future ought to keep the market parties going. Our view has aligned with the house view over the last year, but there is no guarantee that it will continue to do so. A growing minority of managing editors has been repeatedly challenging the internal consensus in our daily meetings, and it will be debated vigorously at our monthly view meeting Monday morning in Montreal. It is possible that the house view, and the U.S. Investment Strategy view, could soon become less constructive, though our level of conviction remains fairly high.   Doug Peta, CFA Chief U.S. Investment Strategist dougp@bcaresearch.com Footnotes 1 If a bond yielding 3% at Friday’s close ends Monday’s session with a yield of 2.94%, 6 bps lower, its yield is shown as having declined 2% on the day (-.0006/.03 = -2%).
Special Report Dear Client, Credit in China has expanded at an exponential pace, with the country’s debt-to-GDP ratio climbing from 143% to more than 250% over the last decade. The speed and scale of China’s debt surge dwarfs Japan and the U.S.’ respective credit binges in the 1980’s and 2000’s, each of which ultimately led to financial market meltdowns. Why should China’s experience be any different? Given that China has pursued a different economic model whereby the banking sector is largely state-sponsored and the currency is tightly managed by the central bank, the answer to this pressing question for global markets is the subject of spirited debate at BCA and within the investment community at large. Clients are already aware that my colleagues, Peter Berezin and Arthur Budaghyan, disagree on the macro and market ramifications of China’s decade-long credit boom. The aim of this report is to provide visibility on the root sources of the view divergence, not to reconcile the gaps. We hope these insights will help shape your own conviction about this important topic. Caroline Miller Global Strategy Feature   Caroline: Arthur, your cautious outlook towards emerging markets in general and China’s prospects in particular stems from your belief that China’s economy is dangerously addicted to credit as a growth driver. Please explain why you dismiss the more sanguine view that China’s elevated debt burden is a function of an equally unusually high household savings rate. Arthur: It is simple: When people use the word “savings,” they typically and intuitively refer to bank deposits or securities investments; but this is incorrect. Chart 1 (Arthur)No Empirical Evidence That Deposits = 'Savings' Money supply/deposits in the banking system have no relationship with the savings rate of a nation in general or households in particular (Chart 1). When households save, they do not change the amount of money supply and deposits. Hence, households’ decision to save neither alters liquidity in the banking system nor helps banks to originate loans. In fact, banks do not intermediate deposits into loans or savings into credit.1 The terms “savings” in economics does not denote an increase in the stock of money and deposits. The term “savings” in economics means the amount of goods and services produced but not consumed. When an economy produces a steel bar, it is registered as national “savings.” We cannot consume (say, eat or expense) a steel bar. Therefore, once a steel bar or any equipment is produced, economic statistics will count it as “savings.” Besides, the sole utilization of a steel bar is in capital goods and construction, and hence, it cannot be consumed. Once a steel bar is produced, both national savings and investment will rise. That is how the “savings” = “investment” identity is derived. Chart 2 (Arthur)Chinese Households Are More Leveraged Than U.S. Ones It would avoid confusion and help everyone if economists were to call it “excess production” not “excess savings.” Banks do not need “excess production” – i.e., national “savings” – to create loans. Critically, the enormous amount of bank deposits in China is not due to household “savings” but is originated by banks “out of thin air.” In fact, Chinese households are now more leveraged than U.S. ones (Chart 2). The surge of credit and money supply in China during the past 10 years has been due to animal spirits running wild among lenders and borrowers on the mainland, not its households’ “savings.” In short, the root of China’s credit bubble is not any different from Japan’s (in the 1980s), or the U.S.’ (in the 2000s) and so on. Peter: Yes, banks can create deposits “out of thin air,” as Arthur says. However, people must be willing to hold those deposits. The amount of deposits that households and businesses wish to hold reflects many things, including the interest rate paid on deposits and the overall wealth of the society. The interest rate is a function of savings. The more people save, the lower interest rates will be. And the lower interest rates are, the more demand for credit there will be (Chart 3). It’s like asking what determines how many apples are consumed. Is it how many apple trees farmers want to plant or how many apples people want to eat? The answer is both. Prices adjust so that supply equals demand. How about national wealth? To a large extent, wealth represents the accumulation of tangible capital – factories, plant and machinery, homes and office buildings: the sort of stuff that banks can use as collateral for lending. And what determines how much tangible capital a country possesses? The answer is past savings, of the exact sort Arthur is referring to: the excess of production over consumption. So this form of “economic” savings also plays an important indirect role in determining the level of bank deposits. Chart 4 (Peter)China: From Exporting Savings To Investing Domestically And Building Up Debt I think the main problem with Arthur’s argument is that he is observing an accounting identity, which is that total bank assets (mostly loans) must equal liabilities (mostly deposits and capital) in equilibrium, without fully appreciating the economic forces – savings being one of them – that produce this equilibrium. In any case, the whole question of whether deposits create savings or savings create deposits misses the point. China’s fundamental problem is that it does not consume enough of what it produces. In the days when China had a massive current account surplus, it could export its excess savings abroad (Chart 4). It can’t do that anymore, so the government has consciously chosen to spur investment spending in order to prop up employment. Since a lot of investment spending is financed through credit, debt levels have risen. It really is just that simple.   Arthur: First, neither the stock nor the flow of credit and deposits has any relevance to (1) the economic term “savings;” (2) a country’s capital stock; or (3) national wealth, contrary to what Peter claims. China’s broad money supply (M2) now stands at 190 trillion yuan, equivalent to US$28 trillion (Chart 5, top panel). It is equal to the size of broad money supply in the U.S. and the euro area combined (US$14 trillion each). Yet, China’s nominal GDP is only two-thirds the size of the U.S. Does the level of China’s wealth and capital stock justify it having broad money supply (US$28 trillion) equivalent to the U.S. and the euro area combined? Chart 5 (Arthur)“Helicopter” Money In China Second, are Chinese households and companies willing to hold all RMB deposits that banks have created “out of thin air”? The answer: not really. Without capital controls, a notable portion of these deposits would have rushed into the foreign exchange markets and caused currency depreciation. Another sign of growing reluctance to hold the yuan is that households have been swapping their RMB deposits for real assets (property) at astronomical valuations. There is a bubble in China but people are looking for reasons to justify why it is different this time. Caroline: OK, let’s get away from the term “savings,” and agree that China continues to generate a chronic surplus of production of goods and services relative to consumption, and that how China chooses to intermediate that surplus is the most market-relevant issue. Arthur, you have used the terms “money bubble” and “helicopter money” in relation to China. This implies that banks are unconstrained in their ability to make loans. Just because savings don’t equal deposits, and banks can create deposits when they make loans doesn’t mean there is no relationship between the flow of credit and the stock of deposits. Arthur: Money supply and deposits expand only when banks originate a loan or buy an asset from a non-bank. In short, both credit and money/deposits are created by commercial banks “out of thin air.” This is true for any country.2 Consider a loan transaction by a German commercial bank. When it grants a €100 loan to a borrower, two accounting entries occur on its balance sheet. On the assets side, the amount of loans, and therefore total assets, increases by €100. Simultaneously, on the liabilities side, this accounting entry creates €100 of new deposits “out of thin air” (Figure 1). Hence, new purchasing power of €100 has been created via a simple accounting entry, which otherwise would not exist. Critically, no one needed to save for this loan and money to be originated. The bank does not transfer someone else’s deposits to the borrower; it creates a new deposit when it lends. Banks also create deposits/money “out of thin air” when they buy securities from non-banks. In China, fiscal stimulus is largely financed by commercial banks – banks purchase more than 80% of government-issued bonds. This also leads to money creation. In short, when banks originate too much credit – as they have in China – they generate a money bubble. The money bubble is the mirror image of a credit bubble. Chinese banks have created 141 trillion yuan (US$21 trillion) of new money since 2009, compared with $8.25 trillion created in the U.S., euro area, and Japan combined over the same period (Chart 5, bottom panel). This is why I refer to it as “helicopter” money. Caroline: If banks need capital and liquidity to make loans, and deposits are one potential source of funds, don't these capital and liquidity constraints drive banks’ willingness and ability to lend, creating a link between the two variables? Arthur: Let me explain how mainland banks were able to circumvent those regulatory lending constraints. In 2009, they expanded their credit assets by about 30%. Even though a non-trivial portion of those loans were not paid back, banks did not recognize NPLs and instead booked large profits. By retaining a portion of those earnings, they boosted their equity, say, by 20%. As a result, the next year they were able to expand their credit assets by another 20% and so on. If banks lend and do not recognize bad loans, they can increase their equity and continue lending. With respect to liquidity, deposits are not liquidity for banks; excess reserves at the central bank are true liquidity for them. The reason why banks need to attract deposits is not to appropriate the deposits themselves, but to gain access to the excess reserves that come with them. When a person shifts her deposit from Bank A to Bank B, the former transfers a similar amount of excess reserves (liquidity) to the latter. When expanding their credit assets aggressively, banks can: (1) create more loans per one unit of excess reserves/liquidity, i.e., expand the money multiplier; and (2) borrow excess reserves/liquidity from the central bank or other banks. Chinese banks have used both channels to expand their balance sheets over the past 10 years (Chart 6). Chart 6 (Arthur)Broad Money Can Expand Without Growing Banks' Excess Reserves At The Central Bank Crucially, commercial banks create deposits, but they cannot create excess reserves (liquidity).3 The latter are issued only by central banks “out of thin air.” So, neither deposits nor excess reserves have any relevance to household or national “savings.” Caroline: Peter, Arthur argues that Chinese credit policy has been unconstrained by the traditional metrics of capital adequacy that prevail in capitalist, free-market economies. In other words, there is no connection between the availability of funds to lend via deposits in the banking system, and the pace of credit creation. Rather, the central bank has controlled the terms and volume of lending via regulation and fiat reserve provisioning. You’ve argued that credit creation has served the greater good of propping up employment via investment spending. Moreover, you posit that countries with a surplus of production over consumption will invariably experience high levels of credit creation. Our colleague, Martin Barnes, has analyzed national savings rates (as a proxy for over-production) relative to debt-GDP ratios in other countries. The relationship doesn’t look that strong elsewhere (Chart 7). Please elaborate on why you see credit growth as an inevitable policy response to the dearth of aggregate demand we observe in China? Peter: I would not say that countries with a surplus of production over consumption will invariably experience high levels of credit creation. For example, if most business investment is financed through retained earnings, you can have a lot of investment with little new debt. Debt can also result from activities not directly linked to the intermediation of savings. For instance, if you take out a mortgage to buy some land, your consumption and savings need not change, even though debt will be created. I think Arthur and I agree on this point. Thus, I am not saying that debt is always and everywhere the result of savings. I am simply pushing back against Arthur’s extremist position that debt never has anything to do with savings. Caroline: So what determines the level of debt in an economy in your view, Peter? Peter: In general, debt levels will rise if there are large imbalances between income and spending within society and/or if there are significant differences in the mix of assets people wish to hold. Think about the U.S. in the pre-financial crisis period. First, there was a surge in income inequality beginning in the early 1980s. For all intents and purposes, rich households with excess savings ended up lending their surplus income to poor households struggling to pay their bills. Overall savings did not rise, but debt levels still increased. That’s one reason why Martin’s chart doesn’t show a strong correlation between the aggregate savings rate and debt-to-GDP. Sometimes you need to look beneath the aggregate numbers to see the savings intermediation taking place. Unlike in the U.S., even poor Chinese households are net savers (Chart 8). Thus, the aggregate savings rate in China is very high4 (Chart 9). Much of these savings are funnelled to finance investment in the corporate and public sectors. This fuels debt growth. Chart 9 (Peter)Chinese Households Have More Savings Than The U.S., Europe And Japan Combined The second thing that happened in the U.S. starting in 2000 was a massive housing boom. If you bought a second home with credit, you ended up with one more asset (the house) but one more liability (the mortgage). The person who sold you the home ended up losing one asset (the house) but gaining another asset (a bigger bank deposit). The net result was both higher debt and higher bank deposits. Lending to finance asset purchases has also been a big source of debt growth in China, as it was in the U.S. before the crisis. The U.S. mortgage boom ended in tears, and so the question that we should be asking is whether the Chinese debt boom will end the same way. Arthur: We agreed not to use the term “savings,” yet Peter again refers to “savings” being funnelled into credit. As I explained above, banks do not funnel “savings” (i.e., “excess production”) into credit. China, Japan, and Germany have high “savings” rates because they produce a lot of steel, chemicals, autos, and machinery that literally cannot be consumed and, thus, are recorded as “savings.” The U.S. produces too many services that are consumed/expensed and, hence, not recorded as “savings.” That is why the U.S. has a lower “savings” rate. Chart 10 (Arthur)The Myth Of Deficient Demand In China Economic textbook discussions on “savings” and “investment” are relevant for a barter economy where banks do not exist. When this framework is applied to modern economies with banks, it generates a lot of confusion.5 Caroline: OK, so Peter argues that an imbalance between spending and income CAN be a marker for high debt levels. Arthur, please explain why you see no relationship between China’s chronic shortfall in demand and authorities’ explicit decision to support growth via credit creation. Arthur: First, China does not have deficient demand – consumer spending and capital expenditures have been growing at 10% and 9.4%, respectively, in real terms annually compounded for the past 10 years (Chart 10). The mainland economy has been suffering from excess production, not a lack of demand. China has invested a lot (Chart 11) and ended up with too much capacity to produce steel, cement, chemicals and other materials as well as machinery and industrial goods. So, China has an excess production of goods relative to firms’ and households’ underlying demand. In a market economy, these producers would become non-profitable, halt their investments, and shut down some capacity. Chart 11 (Arthur)China Has Been Over-Investing On An Unprecedented Scale In China, to keep the producers of these unwanted goods operating, the government has allowed and encouraged banks to originate loans creating new purchasing power literally “out of thin air” to purchase these goods. This has created a credit/money bubble. In a socialist system, banks do not ask debtors to repay loans and government officials are heavily involved in resource and capital allocation. China’s credit system and a growing chunk of its economy have been operating like a typical socialist system. Socialism leads to lower productivity growth for well-known reasons. With labor force growth set to turn negative, productivity is going to be the sole source of China’s potential growth rate. If the nation continues expanding this money/credit bubble to prop up zombie enterprises, its potential growth rate will fall considerably. As the potential growth rate drops, recurring stimulus will create nominal but not real growth. In short, the outcome will be stagflation. Caroline: The theoretical macro frameworks that you have both outlined make for interesting thought experiments, and spirited intellectual debate. However, investors are most concerned about the sustainability of China’s explosive credit growth, implications for the country’s growth rate, and the return on invested capital. Arthur, given your perspective on how Chinese credit policy has been designed and implemented, please outline the contours of how and when you see the music stopping, and the debt mountain crumbling. Arthur: Not every credit bubble will burst like the U.S. one did in 2008. For example, in the case of the Japanese credit bubble, there was no acute crisis. The bubble deflated gradually for about 20 years. In the cases of the U.S. (2008), Japan (1990), the euro area (2008-2014), Spain (2008-2014) and every other credit bubble, a common adjustment was a contraction in bank loans in nominal terms (Chart 12). Chart 12 (Arthur)All Credit Booms Have Been Followed By Contracting Bank Loans (I) Chart 12 (Arthur)All Credit Booms Have Been Followed By Contracting Bank Loans (II) Why do banks stop lending? The reason is that banks’ shareholders absorb the largest losses from credit booms. Given that banks are levered at least 20-to-1 at the peak of a typical credit boom, every $1 of non-performing loans leads to a $20 drop in their equity value. Bank shareholders halt the flow of credit to protect their wealth. Chart 13 (Arthur)China: Deleveraging Has Not Yet Begun In fact, credit in China is still growing at a double-digit rate, above nominal GDP growth (Chart 13). Hence, aggregate deleveraging in China has not yet begun. If banks do not curtail credit origination, the music will not stop. However, uninterrupted credit growth happens only in a socialist system where banks subsidize the economy at the expense of their shareholders. But even then, there is no free lunch. Credit origination by banks also expands the money supply as discussed above. An expanding money bubble will heighten devaluation pressure on the yuan in the long run. The enormous amount of money supply/deposits – the money bubble – in China is like “the sword of Damocles” hanging over the nation’s currency. Chinese households and businesses are becoming reluctant to hold this ballooning supply of local currency. Continuous “helicopter” money will only increase their desire to diversify their RMB deposits into foreign currencies and assets. Yet, there is an insufficient supply of foreign currency to accommodate this conversion. The nation’s current account surplus has almost vanished while the central bank carries US$3 trillion in foreign exchange reserve representing only 11% of the yuan deposits and cash in circulation (Chart 14). It is inconceivable that China can open its capital account in the foreseeable future. “Helicopter” money also discourages innovation and breeds capital misallocation, which reduces productivity growth. A combination of slowing productivity growth, and thus potential GDP, and strong money growth ultimately lead to stagflation – the dynamics endemic to socialist systems. Peter: Arthur’s answer implicitly assumes that private investment would increase if the government removed credit/fiscal stimulus. But where is the evidence for that? We had just established that the Chinese economy suffers from a lack of aggregate demand. Public-sector spending, to the extent that it increases employment and incomes, crowds in private-sector investment rather than crowding it out. Ask yourself what would have happened if China didn’t build that “bridge to nowhere.” Would those displaced construction workers have found more productive work elsewhere or would they have remained idle? The answer is almost certainly the latter. After all, the reason the Chinese government built the bridge in the first place was to increase employment in an economy that habitually struggles to consume enough of what is produces. Arthur talks about the “misallocation” of resources. But doesn’t an unemployed worker also represent a misallocation of resources? In my view, it certainly does – and one that is much more threatening to social stability than an underutilized bridge or road. If you understand the point above, you will also understand why Arthur’s comparison between Chinese banks and say, U.S. banks is misplaced. The Chinese government is the main shareholder in Chinese banks. The government cares more about social stability than anything else. There is no way it would let credit growth plunge. Moreover, as the main shareholder, the government has a strong incentive to raise the share price of Chinese banks. After all, it is difficult to have a reserve currency that rivals the U.S. dollar, as China aspires to have, if your largest banks trade like penny stocks. My guess is that the Chinese government will shut down a few small banks to “show” that it is concerned about moral hazard, but then turn around and allow the larger banks to sell their troubled loans to state-owned asset management companies on very favourable terms (similar to what happened in the early 2000s). Once investors get wind that this is about to happen, Chinese bank shares will rally like crazy. Caroline: Isn’t shuffling debt from one sector of the economy to another akin to a shell game? Wouldn’t rampant debt growth eventually cause investors to lose confidence in the currency? Peter: China has a problem with the composition of its debt, not with its total value. Debt is a problem when the borrower can’t or won’t repay the loan. Chart 15 (Peter)China Is On Course To Lose More Than 400 Million Workers I completely agree that there is too much shadow bank lending in China. There is also too much borrowing by state-owned enterprises. Ideally, the Chinese government would move all this quasi-public spending onto its own balance sheet. It would significantly raise social spending to discourage precautionary household savings. It would also adopt generous pro-natal policies — free childcare, education, government paid parental leave, and the like. The fact that the Chinese working-age population is set to shrink by 400 million by the end of the century is a huge problem (Chart 15). If the central government borrowed and spent more, state-owned companies and local governments would not have to borrow or spend as much. Banks could then increase their holding of high-quality central government bonds. Debt sustainability is only a problem if the interest rate the government faces exceeds the growth rate of the economy.6 That is manifestly not the case in China (Chart 16). And why are interest rates so low in relation to growth? Because Chinese households save so much! We simply can’t ignore the role of savings in the discussion. Chart 16 (Peter)China: High Levels Of Household Savings Have Kept Interest Rates Below The Growth Rate Of The Economy As far as the currency is concerned, if debt growth rose so much that the economy overheated and inflation soared, then yes, the yuan would plunge. But that’s not what we are talking about here. We are talking about bringing debt growth to a level that generates just enough demand to achieve something resembling full employment. No one is calling for raising debt growth beyond that point. Curbing debt growth in a demand-deficient economy, as Arthur seems to be recommending, would cause unemployment to rise. Investors would then bet that the Chinese government would try to boost net exports by engineering a currency devaluation. Capital outflows would intensify. Far from creating the conditions for a weaker yuan, fiscal/credit stimulus obviates the need for a currency depreciation. Caroline: Peter, even if we accept your argument that the counterfactual of curbing credit growth in a demand-deficient economy would be a more deflationary outcome than sustaining the government-sponsored credit growth engine, how is building bridges to nowhere a positive sum for investors? Even if this strategy maintains social stability in the interests of the CCP’s regime preservation, won’t investors eventually recoil at the retreat to socialism that Arthur outlines, reducing the appeal of holding the yuan, even if, as you both seem to agree, no apocalyptic debt crisis is at hand? In other words, isn’t two times nothing still nothing? Peter: First of all, many of these infrastructure projects may turn out to be quite useful down the road, pardon the pun. Per capita vehicle ownership in China is only one one-fifth of what it is in the United States, and one-fourth of what it is in Japan (Chart 17). A sparsely used expressway today may be a clogged one tomorrow. Chart 17 (Peter)The Automobile Ownership Rate Is Still Quite Low In China Would China really be better off if it had fewer infrastructure projects and more big screen TVs? An economy where people are always buying stuff they don’t need, with money they don’t have, to impress people they don’t like, is hardly a recipe for success. I am not sure what these references to socialism are supposed to accomplish. You want to see a real retreat to socialism? Try creating millions of unemployed workers with no jobs and no hope. All sorts of pundits decried Franklin Roosevelt’s New Deal as creeping socialism. The truth is that the New Deal took the wind out of the sails of the fledgling U.S. communist movement at the time. Arthur: I believe that Peter is confusing the structural and cyclical needs for stimulus. When an economy is in a recession – banks are shrinking their balance sheets and property prices are deflating – the authorities must undertake fiscal and credit stimulus. Chart 18 (Arthur)What Will Productivity Growth Look Like If Public Officials Allocate 55%-60% Of GDP? Credit and fiscal stimulus made sense in China in early 2009 when growth plunged. However, over the past 10 years, we have witnessed credit and property market booms of gigantic proportions. Does this economy warrant continuous stimulus? What will productivity growth look like if government bureaucrats continuously allocate 55-60% of GDP each year (Chart 18)? Caroline: Arthur and Peter, you can both argue with one another about the semantic economic definition of the term ‘savings’, the implications of chronic excess production (relative to consumption), and the root drivers of credit growth in China long past the expiry of every BCA client’s investment horizon. Clients benefit from understanding your distinct perspectives only to the extent that they inform your outlook for markets. Will each of you now please outline how you see high levels of credit in China’s economy impacting the following over a cyclical (6-12 month) and structural (3-5 year) horizon: Global growth Commodity prices China-geared financial assets Peter: Regardless of what one thinks about the root causes of China’s high debt levels, it seems certain to me that the Chinese are going to pick up the pace of credit/fiscal stimulus over the next six months in response to slowing growth and trade war uncertainties. If anything, the incentive to open the credit spigots this time around is greater than in the past because the Chinese government wants to have a fast-growing economy to gain leverage over trade negotiations with the U.S. Chart 19 (Peter)Stronger Chinese Credit Growth Bodes Well For Commodity Prices Chart 20 (Peter)The Dollar Is A Countercyclical Currency Stronger Chinese growth will boost growth in the rest of the world. Commodity prices will rise (Chart 19). As a counter-cyclical currency, the U.S. dollar will likely peak over the next month or so and then weaken in the back half of 2019 and into 2020 (Chart 20). The combination of stronger Chinese growth, higher commodity prices, and a weaker dollar will be manna from heaven for emerging markets. If a trade truce between China and the U.S. is reached, investors should move quickly to overweight EM equities. European stocks should also benefit. Looking further out, China’s economy will slow in absolute terms. In relative terms, however, Chinese growth will remain near the top of the global rankings. China has one of the most educated workforces in the world (Chart 21). Assuming that output-per-hour reaches South Korean levels by the middle of the century, Chinese real GDP would need to expand by about 6% per year over the next decade (Chart 22). That’s a lot of growth – growth that will eventually help China outgrow its debt burden. Chart 22 (Peter)China Has More Catching Up To Do Keep in mind that credit growth of 1% when the debt-to-GDP ratio is 300% yields 3% of GDP in credit stimulus, compared with only 1% of stimulus when the debt-to-GDP ratio is 100%. That does not mean that more debt is intrinsically a good thing, but it does mean that China will eventually be able to slow debt growth even if excess savings remains a problem. Structurally, Chinese and EM equities will likely outperform their developed market peers over a 3-to-5 year horizon. The P/E ratio for EM stocks is currently 4.7 percentage points below that of developed markets, which is below its long-term average (Chart 23). While EM EPS growth has lagged DM earnings growth over the past eight years, the long-term trend still favors EM (Chart 24). EM currencies will appreciate over this period, with the RMB leading the way. Chart 23 (Peter)EM Stocks: Valuations Are Attractive Chart 24 (Peter)Earnings Growth In EM Has Outpaced That Of DM Over The Long Haul Arthur: China is facing a historic choice between two scenarios. Medium- and long-term macro outcomes will impact markets differently in each case. Table 1 shows my cyclical and structural investment recommendations for each scenario. Table 1 (Arthur)Arthur’s Recommended Investment Strategy For China-Geared Financial Assets Allowing Markets to Play A Bigger Role = Lower credit growth (deleveraging), corporate restructuring, and weaker growth (Chart 25). This is bearish for growth and financial markets in the medium term but it will make Chinese stocks and the currency structural (long-term) buys. Credit/Money Boom Persists (Socialist Put) = Secular Stagnation, Inflation and Currency Depreciation: The structural outlook is downbeat but there are mini-cycles that investors could play (Chart 26). Cyclically, China-geared financial assets still remain at risk. However, lower asset prices and more stimulus in China could put a floor under asset prices later this year. Timing these mini-cycles is critical. A buy-and-hold strategy for Chinese assets will not be appropriate in this scenario. In short, capitalism is bad but socialism is worse. I hope China will pursue the first path. Caroline: Thank you both for clarifying your perspectives. Over a multi-year horizon, markets will render the ultimate judgement on whether China’s credit boom has represented a reckless misallocation of capital, or a rational policy response to an imbalance between domestic spending and income. In the meantime, we will monitor the complexion of Chinese stimulus and evidence of its global growth multiplier effect over the coming weeks and months. These will be the key variables to watch as we determine when and at what level to upgrade BCA’s cyclical outlook for China-geared assets. Can’t wait for that debate. Footnotes 1 For a detailed discussion of these issues, please see Emerging Markets Strategy Special Reports, “Misconceptions About China's Credit Excesses,” dated October 26, 2016 and “The True Meaning Of China's Great 'Savings' Wall,” dated December 20, 2017. 2 For a detailed discussion of these issues, please see Emerging Markets Strategy Special Reports, “Misconceptions About China's Credit Excesses,” dated October 26, 2016 and “The True Meaning Of China's Great 'Savings' Wall,” dated December 20, 2017. 3 For a detailed discussion of these issues, please see Emerging Markets Strategy Special Report, “China's Money Creation Redux And The RMB,” dated November 23, 2016. 4 For a discussion on the reasons behind China’s high savings rate, please see Global Investment Strategy Weekly Report, “China’s Savings Problem,” dated January 25, 2019. 5 For a detailed discussion of these issues, please see Emerging Markets Strategy Special Report, “Is Investment Constrained By Savings? Tales Of China And Brazil,” dated March 22, 2018. 6 For a detailed discussion of these issues, please see Global Investment Strategy Weekly Report, “Is There Really Too Much Government Debt In The World?” dated February 22, 2019 and “Chinese Debt: A Contrarian View,” dated April 19, 2019.
Special Report Dear Client, Credit in China has expanded at an exponential pace, with the country’s debt-to-GDP ratio climbing from 143% to more than 250% over the last decade. The speed and scale of China’s debt surge dwarfs Japan and the U.S.’ respective credit binges in the 1980’s and 2000’s, each of which ultimately led to financial market meltdowns. Why should China’s experience be any different? Given that China has pursued a different economic model whereby the banking sector is largely state-sponsored and the currency is tightly managed by the central bank, the answer to this pressing question for global markets is the subject of spirited debate at BCA and within the investment community at large. Clients are already aware that my colleagues, Peter Berezin and Arthur Budaghyan, disagree on the macro and market ramifications of China’s decade-long credit boom. The aim of this report is to provide visibility on the root sources of the view divergence, not to reconcile the gaps. We hope these insights will help shape your own conviction about this important topic. Caroline Miller Global Strategy Feature   Caroline: Arthur, your cautious outlook towards emerging markets in general and China’s prospects in particular stems from your belief that China’s economy is dangerously addicted to credit as a growth driver. Please explain why you dismiss the more sanguine view that China’s elevated debt burden is a function of an equally unusually high household savings rate. Arthur: It is simple: When people use the word “savings,” they typically and intuitively refer to bank deposits or securities investments; but this is incorrect. Chart 1 (Arthur)No Empirical Evidence That Deposits = 'Savings' Money supply/deposits in the banking system have no relationship with the savings rate of a nation in general or households in particular (Chart 1). When households save, they do not change the amount of money supply and deposits. Hence, households’ decision to save neither alters liquidity in the banking system nor helps banks to originate loans. In fact, banks do not intermediate deposits into loans or savings into credit.1 The terms “savings” in economics does not denote an increase in the stock of money and deposits. The term “savings” in economics means the amount of goods and services produced but not consumed. When an economy produces a steel bar, it is registered as national “savings.” We cannot consume (say, eat or expense) a steel bar. Therefore, once a steel bar or any equipment is produced, economic statistics will count it as “savings.” Besides, the sole utilization of a steel bar is in capital goods and construction, and hence, it cannot be consumed. Once a steel bar is produced, both national savings and investment will rise. That is how the “savings” = “investment” identity is derived. Chart 2 (Arthur)Chinese Households Are More Leveraged Than U.S. Ones It would avoid confusion and help everyone if economists were to call it “excess production” not “excess savings.” Banks do not need “excess production” – i.e., national “savings” – to create loans. Critically, the enormous amount of bank deposits in China is not due to household “savings” but is originated by banks “out of thin air.” In fact, Chinese households are now more leveraged than U.S. ones (Chart 2). The surge of credit and money supply in China during the past 10 years has been due to animal spirits running wild among lenders and borrowers on the mainland, not its households’ “savings.” In short, the root of China’s credit bubble is not any different from Japan’s (in the 1980s), or the U.S.’ (in the 2000s) and so on. Peter: Yes, banks can create deposits “out of thin air,” as Arthur says. However, people must be willing to hold those deposits. The amount of deposits that households and businesses wish to hold reflects many things, including the interest rate paid on deposits and the overall wealth of the society. The interest rate is a function of savings. The more people save, the lower interest rates will be. And the lower interest rates are, the more demand for credit there will be (Chart 3). It’s like asking what determines how many apples are consumed. Is it how many apple trees farmers want to plant or how many apples people want to eat? The answer is both. Prices adjust so that supply equals demand. How about national wealth? To a large extent, wealth represents the accumulation of tangible capital – factories, plant and machinery, homes and office buildings: the sort of stuff that banks can use as collateral for lending. And what determines how much tangible capital a country possesses? The answer is past savings, of the exact sort Arthur is referring to: the excess of production over consumption. So this form of “economic” savings also plays an important indirect role in determining the level of bank deposits. Chart 4 (Peter)China: From Exporting Savings To Investing Domestically And Building Up Debt I think the main problem with Arthur’s argument is that he is observing an accounting identity, which is that total bank assets (mostly loans) must equal liabilities (mostly deposits and capital) in equilibrium, without fully appreciating the economic forces – savings being one of them – that produce this equilibrium. In any case, the whole question of whether deposits create savings or savings create deposits misses the point. China’s fundamental problem is that it does not consume enough of what it produces. In the days when China had a massive current account surplus, it could export its excess savings abroad (Chart 4). It can’t do that anymore, so the government has consciously chosen to spur investment spending in order to prop up employment. Since a lot of investment spending is financed through credit, debt levels have risen. It really is just that simple.   Arthur: First, neither the stock nor the flow of credit and deposits has any relevance to (1) the economic term “savings;” (2) a country’s capital stock; or (3) national wealth, contrary to what Peter claims. China’s broad money supply (M2) now stands at 190 trillion yuan, equivalent to US$28 trillion (Chart 5, top panel). It is equal to the size of broad money supply in the U.S. and the euro area combined (US$14 trillion each). Yet, China’s nominal GDP is only two-thirds the size of the U.S. Does the level of China’s wealth and capital stock justify it having broad money supply (US$28 trillion) equivalent to the U.S. and the euro area combined? Chart 5 (Arthur)“Helicopter” Money In China Second, are Chinese households and companies willing to hold all RMB deposits that banks have created “out of thin air”? The answer: not really. Without capital controls, a notable portion of these deposits would have rushed into the foreign exchange markets and caused currency depreciation. Another sign of growing reluctance to hold the yuan is that households have been swapping their RMB deposits for real assets (property) at astronomical valuations. There is a bubble in China but people are looking for reasons to justify why it is different this time. Caroline: OK, let’s get away from the term “savings,” and agree that China continues to generate a chronic surplus of production of goods and services relative to consumption, and that how China chooses to intermediate that surplus is the most market-relevant issue. Arthur, you have used the terms “money bubble” and “helicopter money” in relation to China. This implies that banks are unconstrained in their ability to make loans. Just because savings don’t equal deposits, and banks can create deposits when they make loans doesn’t mean there is no relationship between the flow of credit and the stock of deposits. Arthur: Money supply and deposits expand only when banks originate a loan or buy an asset from a non-bank. In short, both credit and money/deposits are created by commercial banks “out of thin air.” This is true for any country.2 Consider a loan transaction by a German commercial bank. When it grants a €100 loan to a borrower, two accounting entries occur on its balance sheet. On the assets side, the amount of loans, and therefore total assets, increases by €100. Simultaneously, on the liabilities side, this accounting entry creates €100 of new deposits “out of thin air” (Figure 1). Hence, new purchasing power of €100 has been created via a simple accounting entry, which otherwise would not exist. Critically, no one needed to save for this loan and money to be originated. The bank does not transfer someone else’s deposits to the borrower; it creates a new deposit when it lends. Banks also create deposits/money “out of thin air” when they buy securities from non-banks. In China, fiscal stimulus is largely financed by commercial banks – banks purchase more than 80% of government-issued bonds. This also leads to money creation. In short, when banks originate too much credit – as they have in China – they generate a money bubble. The money bubble is the mirror image of a credit bubble. Chinese banks have created 141 trillion yuan (US$21 trillion) of new money since 2009, compared with $8.25 trillion created in the U.S., euro area, and Japan combined over the same period (Chart 5, bottom panel). This is why I refer to it as “helicopter” money. Caroline: If banks need capital and liquidity to make loans, and deposits are one potential source of funds, don't these capital and liquidity constraints drive banks’ willingness and ability to lend, creating a link between the two variables? Arthur: Let me explain how mainland banks were able to circumvent those regulatory lending constraints. In 2009, they expanded their credit assets by about 30%. Even though a non-trivial portion of those loans were not paid back, banks did not recognize NPLs and instead booked large profits. By retaining a portion of those earnings, they boosted their equity, say, by 20%. As a result, the next year they were able to expand their credit assets by another 20% and so on. If banks lend and do not recognize bad loans, they can increase their equity and continue lending. With respect to liquidity, deposits are not liquidity for banks; excess reserves at the central bank are true liquidity for them. The reason why banks need to attract deposits is not to appropriate the deposits themselves, but to gain access to the excess reserves that come with them. When a person shifts her deposit from Bank A to Bank B, the former transfers a similar amount of excess reserves (liquidity) to the latter. When expanding their credit assets aggressively, banks can: (1) create more loans per one unit of excess reserves/liquidity, i.e., expand the money multiplier; and (2) borrow excess reserves/liquidity from the central bank or other banks. Chinese banks have used both channels to expand their balance sheets over the past 10 years (Chart 6). Chart 6 (Arthur)Broad Money Can Expand Without Growing Banks' Excess Reserves At The Central Bank Crucially, commercial banks create deposits, but they cannot create excess reserves (liquidity).3 The latter are issued only by central banks “out of thin air.” So, neither deposits nor excess reserves have any relevance to household or national “savings.” Caroline: Peter, Arthur argues that Chinese credit policy has been unconstrained by the traditional metrics of capital adequacy that prevail in capitalist, free-market economies. In other words, there is no connection between the availability of funds to lend via deposits in the banking system, and the pace of credit creation. Rather, the central bank has controlled the terms and volume of lending via regulation and fiat reserve provisioning. You’ve argued that credit creation has served the greater good of propping up employment via investment spending. Moreover, you posit that countries with a surplus of production over consumption will invariably experience high levels of credit creation. Our colleague, Martin Barnes, has analyzed national savings rates (as a proxy for over-production) relative to debt-GDP ratios in other countries. The relationship doesn’t look that strong elsewhere (Chart 7). Please elaborate on why you see credit growth as an inevitable policy response to the dearth of aggregate demand we observe in China? Peter: I would not say that countries with a surplus of production over consumption will invariably experience high levels of credit creation. For example, if most business investment is financed through retained earnings, you can have a lot of investment with little new debt. Debt can also result from activities not directly linked to the intermediation of savings. For instance, if you take out a mortgage to buy some land, your consumption and savings need not change, even though debt will be created. I think Arthur and I agree on this point. Thus, I am not saying that debt is always and everywhere the result of savings. I am simply pushing back against Arthur’s extremist position that debt never has anything to do with savings. Caroline: So what determines the level of debt in an economy in your view, Peter? Peter: In general, debt levels will rise if there are large imbalances between income and spending within society and/or if there are significant differences in the mix of assets people wish to hold. Think about the U.S. in the pre-financial crisis period. First, there was a surge in income inequality beginning in the early 1980s. For all intents and purposes, rich households with excess savings ended up lending their surplus income to poor households struggling to pay their bills. Overall savings did not rise, but debt levels still increased. That’s one reason why Martin’s chart doesn’t show a strong correlation between the aggregate savings rate and debt-to-GDP. Sometimes you need to look beneath the aggregate numbers to see the savings intermediation taking place. Unlike in the U.S., even poor Chinese households are net savers (Chart 8). Thus, the aggregate savings rate in China is very high4 (Chart 9). Much of these savings are funnelled to finance investment in the corporate and public sectors. This fuels debt growth. Chart 9 (Peter)Chinese Households Have More Savings Than The U.S., Europe And Japan Combined The second thing that happened in the U.S. starting in 2000 was a massive housing boom. If you bought a second home with credit, you ended up with one more asset (the house) but one more liability (the mortgage). The person who sold you the home ended up losing one asset (the house) but gaining another asset (a bigger bank deposit). The net result was both higher debt and higher bank deposits. Lending to finance asset purchases has also been a big source of debt growth in China, as it was in the U.S. before the crisis. The U.S. mortgage boom ended in tears, and so the question that we should be asking is whether the Chinese debt boom will end the same way. Arthur: We agreed not to use the term “savings,” yet Peter again refers to “savings” being funnelled into credit. As I explained above, banks do not funnel “savings” (i.e., “excess production”) into credit. China, Japan, and Germany have high “savings” rates because they produce a lot of steel, chemicals, autos, and machinery that literally cannot be consumed and, thus, are recorded as “savings.” The U.S. produces too many services that are consumed/expensed and, hence, not recorded as “savings.” That is why the U.S. has a lower “savings” rate. Chart 10 (Arthur)The Myth Of Deficient Demand In China Economic textbook discussions on “savings” and “investment” are relevant for a barter economy where banks do not exist. When this framework is applied to modern economies with banks, it generates a lot of confusion.5 Caroline: OK, so Peter argues that an imbalance between spending and income CAN be a marker for high debt levels. Arthur, please explain why you see no relationship between China’s chronic shortfall in demand and authorities’ explicit decision to support growth via credit creation. Arthur: First, China does not have deficient demand – consumer spending and capital expenditures have been growing at 10% and 9.4%, respectively, in real terms annually compounded for the past 10 years (Chart 10). The mainland economy has been suffering from excess production, not a lack of demand. China has invested a lot (Chart 11) and ended up with too much capacity to produce steel, cement, chemicals and other materials as well as machinery and industrial goods. So, China has an excess production of goods relative to firms’ and households’ underlying demand. In a market economy, these producers would become non-profitable, halt their investments, and shut down some capacity. Chart 11 (Arthur)China Has Been Over-Investing On An Unprecedented Scale In China, to keep the producers of these unwanted goods operating, the government has allowed and encouraged banks to originate loans creating new purchasing power literally “out of thin air” to purchase these goods. This has created a credit/money bubble. In a socialist system, banks do not ask debtors to repay loans and government officials are heavily involved in resource and capital allocation. China’s credit system and a growing chunk of its economy have been operating like a typical socialist system. Socialism leads to lower productivity growth for well-known reasons. With labor force growth set to turn negative, productivity is going to be the sole source of China’s potential growth rate. If the nation continues expanding this money/credit bubble to prop up zombie enterprises, its potential growth rate will fall considerably. As the potential growth rate drops, recurring stimulus will create nominal but not real growth. In short, the outcome will be stagflation. Caroline: The theoretical macro frameworks that you have both outlined make for interesting thought experiments, and spirited intellectual debate. However, investors are most concerned about the sustainability of China’s explosive credit growth, implications for the country’s growth rate, and the return on invested capital. Arthur, given your perspective on how Chinese credit policy has been designed and implemented, please outline the contours of how and when you see the music stopping, and the debt mountain crumbling. Arthur: Not every credit bubble will burst like the U.S. one did in 2008. For example, in the case of the Japanese credit bubble, there was no acute crisis. The bubble deflated gradually for about 20 years. In the cases of the U.S. (2008), Japan (1990), the euro area (2008-2014), Spain (2008-2014) and every other credit bubble, a common adjustment was a contraction in bank loans in nominal terms (Chart 12). Chart 12 (Arthur)All Credit Booms Have Been Followed By Contracting Bank Loans (I) Chart 12 (Arthur)All Credit Booms Have Been Followed By Contracting Bank Loans (II) Why do banks stop lending? The reason is that banks’ shareholders absorb the largest losses from credit booms. Given that banks are levered at least 20-to-1 at the peak of a typical credit boom, every $1 of non-performing loans leads to a $20 drop in their equity value. Bank shareholders halt the flow of credit to protect their wealth. Chart 13 (Arthur)China: Deleveraging Has Not Yet Begun In fact, credit in China is still growing at a double-digit rate, above nominal GDP growth (Chart 13). Hence, aggregate deleveraging in China has not yet begun. If banks do not curtail credit origination, the music will not stop. However, uninterrupted credit growth happens only in a socialist system where banks subsidize the economy at the expense of their shareholders. But even then, there is no free lunch. Credit origination by banks also expands the money supply as discussed above. An expanding money bubble will heighten devaluation pressure on the yuan in the long run. The enormous amount of money supply/deposits – the money bubble – in China is like “the sword of Damocles” hanging over the nation’s currency. Chinese households and businesses are becoming reluctant to hold this ballooning supply of local currency. Continuous “helicopter” money will only increase their desire to diversify their RMB deposits into foreign currencies and assets. Yet, there is an insufficient supply of foreign currency to accommodate this conversion. The nation’s current account surplus has almost vanished while the central bank carries US$3 trillion in foreign exchange reserve representing only 11% of the yuan deposits and cash in circulation (Chart 14). It is inconceivable that China can open its capital account in the foreseeable future. “Helicopter” money also discourages innovation and breeds capital misallocation, which reduces productivity growth. A combination of slowing productivity growth, and thus potential GDP, and strong money growth ultimately lead to stagflation – the dynamics endemic to socialist systems. Peter: Arthur’s answer implicitly assumes that private investment would increase if the government removed credit/fiscal stimulus. But where is the evidence for that? We had just established that the Chinese economy suffers from a lack of aggregate demand. Public-sector spending, to the extent that it increases employment and incomes, crowds in private-sector investment rather than crowding it out. Ask yourself what would have happened if China didn’t build that “bridge to nowhere.” Would those displaced construction workers have found more productive work elsewhere or would they have remained idle? The answer is almost certainly the latter. After all, the reason the Chinese government built the bridge in the first place was to increase employment in an economy that habitually struggles to consume enough of what is produces. Arthur talks about the “misallocation” of resources. But doesn’t an unemployed worker also represent a misallocation of resources? In my view, it certainly does – and one that is much more threatening to social stability than an underutilized bridge or road. If you understand the point above, you will also understand why Arthur’s comparison between Chinese banks and say, U.S. banks is misplaced. The Chinese government is the main shareholder in Chinese banks. The government cares more about social stability than anything else. There is no way it would let credit growth plunge. Moreover, as the main shareholder, the government has a strong incentive to raise the share price of Chinese banks. After all, it is difficult to have a reserve currency that rivals the U.S. dollar, as China aspires to have, if your largest banks trade like penny stocks. My guess is that the Chinese government will shut down a few small banks to “show” that it is concerned about moral hazard, but then turn around and allow the larger banks to sell their troubled loans to state-owned asset management companies on very favourable terms (similar to what happened in the early 2000s). Once investors get wind that this is about to happen, Chinese bank shares will rally like crazy. Caroline: Isn’t shuffling debt from one sector of the economy to another akin to a shell game? Wouldn’t rampant debt growth eventually cause investors to lose confidence in the currency? Peter: China has a problem with the composition of its debt, not with its total value. Debt is a problem when the borrower can’t or won’t repay the loan. Chart 15 (Peter)China Is On Course To Lose More Than 400 Million Workers I completely agree that there is too much shadow bank lending in China. There is also too much borrowing by state-owned enterprises. Ideally, the Chinese government would move all this quasi-public spending onto its own balance sheet. It would significantly raise social spending to discourage precautionary household savings. It would also adopt generous pro-natal policies — free childcare, education, government paid parental leave, and the like. The fact that the Chinese working-age population is set to shrink by 400 million by the end of the century is a huge problem (Chart 15). If the central government borrowed and spent more, state-owned companies and local governments would not have to borrow or spend as much. Banks could then increase their holding of high-quality central government bonds. Debt sustainability is only a problem if the interest rate the government faces exceeds the growth rate of the economy.6 That is manifestly not the case in China (Chart 16). And why are interest rates so low in relation to growth? Because Chinese households save so much! We simply can’t ignore the role of savings in the discussion. Chart 16 (Peter)China: High Levels Of Household Savings Have Kept Interest Rates Below The Growth Rate Of The Economy As far as the currency is concerned, if debt growth rose so much that the economy overheated and inflation soared, then yes, the yuan would plunge. But that’s not what we are talking about here. We are talking about bringing debt growth to a level that generates just enough demand to achieve something resembling full employment. No one is calling for raising debt growth beyond that point. Curbing debt growth in a demand-deficient economy, as Arthur seems to be recommending, would cause unemployment to rise. Investors would then bet that the Chinese government would try to boost net exports by engineering a currency devaluation. Capital outflows would intensify. Far from creating the conditions for a weaker yuan, fiscal/credit stimulus obviates the need for a currency depreciation. Caroline: Peter, even if we accept your argument that the counterfactual of curbing credit growth in a demand-deficient economy would be a more deflationary outcome than sustaining the government-sponsored credit growth engine, how is building bridges to nowhere a positive sum for investors? Even if this strategy maintains social stability in the interests of the CCP’s regime preservation, won’t investors eventually recoil at the retreat to socialism that Arthur outlines, reducing the appeal of holding the yuan, even if, as you both seem to agree, no apocalyptic debt crisis is at hand? In other words, isn’t two times nothing still nothing? Peter: First of all, many of these infrastructure projects may turn out to be quite useful down the road, pardon the pun. Per capita vehicle ownership in China is only one one-fifth of what it is in the United States, and one-fourth of what it is in Japan (Chart 17). A sparsely used expressway today may be a clogged one tomorrow. Chart 17 (Peter)The Automobile Ownership Rate Is Still Quite Low In China Would China really be better off if it had fewer infrastructure projects and more big screen TVs? An economy where people are always buying stuff they don’t need, with money they don’t have, to impress people they don’t like, is hardly a recipe for success. I am not sure what these references to socialism are supposed to accomplish. You want to see a real retreat to socialism? Try creating millions of unemployed workers with no jobs and no hope. All sorts of pundits decried Franklin Roosevelt’s New Deal as creeping socialism. The truth is that the New Deal took the wind out of the sails of the fledgling U.S. communist movement at the time. Arthur: I believe that Peter is confusing the structural and cyclical needs for stimulus. When an economy is in a recession – banks are shrinking their balance sheets and property prices are deflating – the authorities must undertake fiscal and credit stimulus. Chart 18 (Arthur)What Will Productivity Growth Look Like If Public Officials Allocate 55%-60% Of GDP? Credit and fiscal stimulus made sense in China in early 2009 when growth plunged. However, over the past 10 years, we have witnessed credit and property market booms of gigantic proportions. Does this economy warrant continuous stimulus? What will productivity growth look like if government bureaucrats continuously allocate 55-60% of GDP each year (Chart 18)? Caroline: Arthur and Peter, you can both argue with one another about the semantic economic definition of the term ‘savings’, the implications of chronic excess production (relative to consumption), and the root drivers of credit growth in China long past the expiry of every BCA client’s investment horizon. Clients benefit from understanding your distinct perspectives only to the extent that they inform your outlook for markets. Will each of you now please outline how you see high levels of credit in China’s economy impacting the following over a cyclical (6-12 month) and structural (3-5 year) horizon: Global growth Commodity prices China-geared financial assets Peter: Regardless of what one thinks about the root causes of China’s high debt levels, it seems certain to me that the Chinese are going to pick up the pace of credit/fiscal stimulus over the next six months in response to slowing growth and trade war uncertainties. If anything, the incentive to open the credit spigots this time around is greater than in the past because the Chinese government wants to have a fast-growing economy to gain leverage over trade negotiations with the U.S. Chart 19 (Peter)Stronger Chinese Credit Growth Bodes Well For Commodity Prices Chart 20 (Peter)The Dollar Is A Countercyclical Currency Stronger Chinese growth will boost growth in the rest of the world. Commodity prices will rise (Chart 19). As a counter-cyclical currency, the U.S. dollar will likely peak over the next month or so and then weaken in the back half of 2019 and into 2020 (Chart 20). The combination of stronger Chinese growth, higher commodity prices, and a weaker dollar will be manna from heaven for emerging markets. If a trade truce between China and the U.S. is reached, investors should move quickly to overweight EM equities. European stocks should also benefit. Looking further out, China’s economy will slow in absolute terms. In relative terms, however, Chinese growth will remain near the top of the global rankings. China has one of the most educated workforces in the world (Chart 21). Assuming that output-per-hour reaches South Korean levels by the middle of the century, Chinese real GDP would need to expand by about 6% per year over the next decade (Chart 22). That’s a lot of growth – growth that will eventually help China outgrow its debt burden. Chart 22 (Peter)China Has More Catching Up To Do Keep in mind that credit growth of 1% when the debt-to-GDP ratio is 300% yields 3% of GDP in credit stimulus, compared with only 1% of stimulus when the debt-to-GDP ratio is 100%. That does not mean that more debt is intrinsically a good thing, but it does mean that China will eventually be able to slow debt growth even if excess savings remains a problem. Structurally, Chinese and EM equities will likely outperform their developed market peers over a 3-to-5 year horizon. The P/E ratio for EM stocks is currently 4.7 percentage points below that of developed markets, which is below its long-term average (Chart 23). While EM EPS growth has lagged DM earnings growth over the past eight years, the long-term trend still favors EM (Chart 24). EM currencies will appreciate over this period, with the RMB leading the way. Chart 23 (Peter)EM Stocks: Valuations Are Attractive Chart 24 (Peter)Earnings Growth In EM Has Outpaced That Of DM Over The Long Haul Arthur: China is facing a historic choice between two scenarios. Medium- and long-term macro outcomes will impact markets differently in each case. Table 1 shows my cyclical and structural investment recommendations for each scenario. Table 1 (Arthur)Arthur’s Recommended Investment Strategy For China-Geared Financial Assets Allowing Markets to Play A Bigger Role = Lower credit growth (deleveraging), corporate restructuring, and weaker growth (Chart 25). This is bearish for growth and financial markets in the medium term but it will make Chinese stocks and the currency structural (long-term) buys. Credit/Money Boom Persists (Socialist Put) = Secular Stagnation, Inflation and Currency Depreciation: The structural outlook is downbeat but there are mini-cycles that investors could play (Chart 26). Cyclically, China-geared financial assets still remain at risk. However, lower asset prices and more stimulus in China could put a floor under asset prices later this year. Timing these mini-cycles is critical. A buy-and-hold strategy for Chinese assets will not be appropriate in this scenario. In short, capitalism is bad but socialism is worse. I hope China will pursue the first path. Caroline: Thank you both for clarifying your perspectives. Over a multi-year horizon, markets will render the ultimate judgement on whether China’s credit boom has represented a reckless misallocation of capital, or a rational policy response to an imbalance between domestic spending and income. In the meantime, we will monitor the complexion of Chinese stimulus and evidence of its global growth multiplier effect over the coming weeks and months. These will be the key variables to watch as we determine when and at what level to upgrade BCA’s cyclical outlook for China-geared assets. Can’t wait for that debate. Footnotes 1 For a detailed discussion of these issues, please see Emerging Markets Strategy Special Reports, “Misconceptions About China's Credit Excesses,” dated October 26, 2016 and “The True Meaning Of China's Great 'Savings' Wall,” dated December 20, 2017. 2 For a detailed discussion of these issues, please see Emerging Markets Strategy Special Reports, “Misconceptions About China's Credit Excesses,” dated October 26, 2016 and “The True Meaning Of China's Great 'Savings' Wall,” dated December 20, 2017. 3 For a detailed discussion of these issues, please see Emerging Markets Strategy Special Report, “China's Money Creation Redux And The RMB,” dated November 23, 2016. 4 For a discussion on the reasons behind China’s high savings rate, please see Global Investment Strategy Weekly Report, “China’s Savings Problem,” dated January 25, 2019. 5 For a detailed discussion of these issues, please see Emerging Markets Strategy Special Report, “Is Investment Constrained By Savings? Tales Of China And Brazil,” dated March 22, 2018. 6 For a detailed discussion of these issues, please see Global Investment Strategy Weekly Report, “Is There Really Too Much Government Debt In The World?” dated February 22, 2019 and “Chinese Debt: A Contrarian View,” dated April 19, 2019.   Strategy & Market Trends MacroQuant Model And Current Subjective Scores   Tactical Trades Strategic Recommendations Closed Trades
Highlights It remains too early to put on fresh pro-cyclical trades, but the Federal Reserve’s dovish shift is a positive development at the margin. As the market fights a tug of war between weak fundamentals and easier monetary policy, bigger gains are likely to be made at the crosses rather than versus the dollar. Safe-haven currencies are also winners in the interim. Continue to hold short USD/JPY positions recommended last week. Watch the gold-to-bond ratio for cues on where the balance of forces are shifting, with a rising ratio negative for the dollar. Once investors eventually shift their focus towards the rising U.S. twin deficits, de-dollarization of the global economy and low expected returns for U.S. assets, the dollar will peak. New idea: Buy SEK/NZD for a trade. Feature Global markets have once again decided that the U.S. is due for rate cuts, and the Federal Reserve appears to be heeding their message. Both Fed Governor Lael Brainard and Fed Chair Jerome Powell have suggested that policy should be calibrated to address the downside risks posed by the trade war.   The question du jour is the path of the dollar if the Fed eventually does ease monetary policy. A slowing global economy on the back of deteriorating trade is positive for the greenback, since it is a counter-cyclical currency. A Fed rate cut will just be acknowledging the gravity of the slowdown. On the other hand, a dovish Fed knocks down U.S. interest rate expectations relative to the rest of the world. This has historically been bearish for the dollar, and positive for global growth. Our bias remains that the dollar will emerge a loser in this tug of war, especially if Beijing and Washington come to a trade agreement. However, for currency strategy, it is important to revisit our indicators to see where the balance of forces for the dollar lie. We do this via the lens of interest rate differentials, global growth, liquidity trends, and positioning. Expectations Versus Reality Markets are mostly wrong about Fed interest rate expectations, but do get it right from time to time. Since the 1990s, most Fed rate-cutting cycles were initially predicted in advance by the swaps market. Moreover, the current divergence between market expectations and policy action is as wide as before the Great Recession, and among the deepest in over three decades (Chart I-1). The fact that the Fed seldom cuts interest rates only once during a mid-cycle slowdown suggests expectations could diverge even further. Outside of recessions, falling rate expectations relative to policy action have historically been bearish for the dollar, and vice versa. This makes intuitive sense. As a reserve and counter-cyclical currency, the dollar has tended to rise during times of capital flight. However, if we are not on the cusp of a recession, then easier monetary policy by the Fed should improve global liquidity, which is bullish for higher-beta currencies and negative for the dollar. On this front, our discounter suggests rate cuts of about 80 basis points are penciled in by the swaps market over the next 12 months. This will put downward pressure on the dollar. It also helps that sentiment on the greenback remains relatively bullish, and speculators are very long the currency (Chart I-2). Chart I-1Big Divergences Are Rare Chart I-2Lots of Room For The Dollar To Fall     Chart I-3Relative Rates Moving Against The Dollar Relative interest rate differentials between the U.S. and the rest of the world continue to suggest that the greenback should be slightly higher. However, the Treasury market tends to be a global interest rate benchmark rather than specific to the U.S. With global growth in a downtrend and the Fed becoming relatively more dovish, U.S. interest rates are falling much faster than elsewhere and closing the interest-rate gap vis-à-vis the rest of the world. A peak in U.S. interest rates relative to its G10 peers has always been a bad omen for the greenback (Chart I-3). Market action following the Reserve Bank of Australia’s (RBA) interest rate cut this week is a case in point. The initial reaction was a knee-jerk rally in AUD/USD. Australian 10-year government bond yields are already 65 basis points below U.S. levels, the lowest since the 1980s. But the structural growth rate in Australia remains higher than in the U.S., suggesting there is a natural limit as to how low relative interest rates can go. We remain long AUD/USD, but are maintaining a tight stop at 68 cents should rising volatility nudge the market against us.1 Australian 10-year government bond yields are already 65 basis points below U.S. levels, the lowest since the 1980s. Bottom Line: Interest rate expectations between the rest of the world and the U.S. are already at very depressed levels. This suggests that unless the world economy tips into recession, rate differentials are likely to shift against the greenback. A dovish Fed could be the catalyst that triggers this convergence. Portfolio Flows The change in the U.S. tax code to allow for the repatriation of offshore cash helped the dollar in 2018, but not to the extent that might have been expected. On a rolling 12-month basis, the U.S. has repatriated about $400 billion in net assets, or close to 2% of GDP. Historically, this is a very huge sum that would have had the potential to set the greenback on fire – circa 10% higher. The issue today is that the tax break was a one-off, and net flows into the U.S. are now rolling over as the impact fades (Chart I-4). Historically, portfolio flows into the U.S. have been persistent, so it will be important to monitor how fast repatriation flows run off. The Fed’s tapering of asset purchases has been a net drain on dollar liquidity. In the meantime, foreign investors have been fleeing U.S. capital markets at one of the fastest paces in years. On a rolling 12-month total basis, the U.S. is seeing an exodus of about US$200 billion in equity from foreigners, the largest on record (Chart I-5). In aggregate, both foreign official and private long-term portfolio investment into the U.S. has been rolling over, with investor interest limited only to agency and corporate bonds. Foreigners are still net buyers of U.S. securities, but the downtrend in purchases in recent years is evident. Chart I-4Repatriation Flows Have Peaked Chart I-5Investors Stampeding Out Of U.S. Equities The one pillar of support for the dollar is falling liquidity (Chart I-6). Internationally, the Fed’s tapering of asset purchases has been a net drain on dollar liquidity, despite a widening U.S. current account deficit. The Fed’s balance sheet peaked a nudge above US$4.5 trillion in early 2015 and has been falling since. This has triggered a severe contraction in the U.S. monetary base, and has severely curtailed commercial banks’ excess reserves. However, with the Fed turning more dovish and its balance sheet runoff slated to end in September, dollar liquidity will likely improve at the margin. Chart I-6A Dollar Liquidity Squeeze Bottom Line: Currency markets continue to fight a tug of war between deteriorating global growth and easier monetary conditions. Our bias is that the dollar will emerge a loser. Falling interest rate differentials, portfolio outflows, soft relative growth and easing liquidity strains support this thesis. Another Dovish Shift By The ECB The European Central Bank (ECB) kept monetary policy unchanged following this week’s meeting, while highlighting that it will be on hold for longer – at least until mid-2020. The EUR/USD rallied on the news, suggesting the market expected a much more dovish ECB. Our bias is that with European long-term rates already at rock-bottom levels relative to the U.S., the currency market will continue to be disappointed by ECB policy actions for now. Economic surprises are rising in Sweden relative to New Zealand.    Terms for the new Targeted Longer-Term Refinancing Operation (TLTRO III – in other words, cheap loans), were announced at 10 basis points above the main refinancing rate. They can fall as low as 10 basis points above the deposit rate if banks meet certain lending standards. There was no mention of a tiered system for its marginal deposit facility, which would have alleviated some cash flow pressures for euro area banks. We remain of the view that TLTROs are a better policy tool than a tiered central bank deposit system. Chart I-7A Tentative Bottom In Euro Area Data In the case of a TLTRO, the ECB can effortlessly decentralize monetary policy, since liquidity gravitates towards the countries that need it the most. While a tiered system can allow a bank to offer higher rates and attract deposits, there is no guarantee that these deposits will find their way into new loans. It is also likely to benefit countries with the most excess liquidity. The euro’s bounce suggests that the ECB’s dovish shift is paradoxically bullish for the euro. If a central bank eases financing conditions at a time when growth is hitting a nadir, it is tough to argue that it is bearish for the currency. Meanwhile, fiscal policy is also set to be loosened. Swedish new orders-to-inventories lead euro area growth by about five months, and the recent uptick could be a harbinger of positive euro area data surprises ahead (Chart I-7). Bottom Line: European rates are further below equilibrium compared to the U.S., and the ECB’s dovish shift will help lift the euro area’s growth potential. Meanwhile, investors are currently too pessimistic on euro area growth prospects. Our bias is that the euro is close to a floor. Buy SEK/NZD For A Trade A few market indicators suggest there is a trading opportunity for the SEK/NZD cross: Since 2015, the cross has been trading into the apex of a tight wedge formation, defined by higher lows and lower highs. From a technical standpoint, the break above the 50-day moving average is bullish, suggesting the cross could gap higher outside its tight wedge (Chart I-8). Economic surprises are rising in Sweden relative to New Zealand. Going forward, this trend is likely to persist given that investor expectations toward the Swedish economy are very bearish (on the back of depressed sentiment towards the euro area). Relative economic surprises have a good track record of capturing short-term swings in the currency (Chart I-9). Chart I-8A Breakout Seems##br## Imminent Chart I-9Sweden Could Perform Better Than New Zealand Interest rates are moving in favor of the SEK/NZD cross. For almost two decades, relative interest rate differentials between Sweden and New Zealand have been a powerful driver of the exchange rate (Chart I-10). The housing downturn appears well advanced in Sweden relative to New Zealand. Rising relative house prices have historically been supportive of the cross (Chart I-11). The undervaluation of the krona has begun to mitigate the effects of negative interest rates, mainly a buildup of household leverage and an exodus of foreign direct investment. Chart I-10Relative Rates Favor SEK/NZD Chart I-11Swedish House Prices Could Stabilize The USD/SEK and NZD/SEK cross tend to be highly correlated, since the SEK has a higher beta to global growth than the kiwi (Sweden exports 45% of its GDP versus 27% in New Zealand). On a relative basis, the Swedish economy appears to have bottomed relative to that of the U.S., making the SEK/NZD an attractive way to play USD downside. Meanwhile, the carry cost of being short NZD is lower compared to being short the U.S. dollar. Housekeeping We recommended a short USD/JPY position last week, which is currently 1.3% in the money. Our conviction remains high that this could be the best performing trade over the next one-to-three months. For one, the cross has “underperformed” its safe-haven status. The AUD/JPY is back to its 2016 lows, suggesting the market is flirting with another riot point, but the USD/JPY is still well above 100. We expect the latter to eventually give way as currency volatility rises (Chart I-12). Chart i-12Hold Short USD/JPY Positions   Chester Ntonifor, Foreign Exchange Strategist chestern@bcaresearch.com Footnotes 1 Please see Foreign Exchange Strategy Weekly Report, titled “A Contrarian View On The Australian Dollar,” dated May 24, 2019, available at fes.bcaresearch.com. Currencies U.S. Dollar Chart II-1USD Technicals 1 Chart II-2USD Technicals 2 Recent data in the U.S. have been negative: Headline and core PCE were both unchanged at 1.5% and 1.6% year-on-year, respectively. Personal income increased by 0.5% month-on-month in April. However, personal spending increased by only 0.3% month-on-month, lower than expected. Michigan consumer sentiment index fell to 100 in May. Markit composite PMI fell to 50.9 in May, with manufacturing and services PMIs both falling to 50.5 and 50.9, respectively. ISM manufacturing PMI fell to 52.1 in May, while non-manufacturing PMI increased to 56.9. MBA mortgage applications increased by 1.5% in May. The trade deficit fell from $51.9 billion to $50.8 billion in April. On the labor market front, initial and continuing jobless claims rose to 218 thousand and 1.682 million, respectively DXY index fell by 0.8% this week. Chairman Powell gave the opening remarks at the FedListens conference organized by the Chicago Fed this Tuesday, during which he stated that the Fed is closely monitoring trade developments, and will act to sustain the expansion. This signals the potential for rate cuts in the coming monetary policy meetings. Report Links: President Trump And The Dollar - May 9, 2019 Take Out Some Insurance - May 3, 2019 Currency Complacency Amid A Global Dovish Shift - April 26, 2019 The Euro Chart II-3EUR Technicals 1 Chart II-4EUR Technicals 2 Recent data in the euro area have been negative with inflation well below target: Markit manufacturing PMI in the euro area fell to 47.7 in May, as expected. Markit services and composite PMI increased to 52.9 and 51.8 respectively in May. Unemployment rate fell to 7.6% in April. Preliminary headline and core CPI both fell to 1.2% and 0.8% year-on-year respectively in May, dropping to the lowest levels in more than one year. Producer price inflation fell to 2.6% year-on-year in April. Retail sales growth fell to 1.5% year-on-year in April. Employment growth was unchanged at 1.3% year-on-year in Q1. EUR/USD increased by 0.8% this week. On Thursday, the ECB decided to leave interest rates unchanged. The Governing Council also expects the key rates to remain at current levels at least through the first half of 2020. Report Links: Take Out Some Insurance - May 3, 2019 Reading The Tea Leaves From China - April 12, 2019 Into A Transition Phase - March 8, 2019 Japanese Yen Chart II-5JPY Technicals 1 Chart II-6JPY Technicals 2 Recent data in Japan have been negative: Housing starts fell by 5.7% year-on-year in April. Construction orders fell by 19.9% year-on-year in April. Consumer confidence fell to 39.4 in May. Nikkei manufacturing PMI increased to 49.8 in May, while Markit services PMI fell to 51.7 in May. Capital spending was positive in Q1, rising 6.1% year-on-year versus expectations of 2.6%. USD/JPY fell by 0.6% this week. Our “Heads I Win, Tails I Don’t Lose Too Much” bet on a short USD/JPY position is currently 1.3% in the money since entered last Friday.                                                                                        Report Links: Short USD/JPY: Heads I Win, Tails I Don’t Lose Too Much - May 31, 2019 Beware Of Diminishing Marginal Returns - April 19, 2019 Tug OF War, With Gold As Umpire - March 29, 2019 British Pound Chart II-7GBP Technicals 1 Chart II-8GBP Technicals 2 Recent data in the U.K. have been mixed: Nationwide house prices grew by only 0.6% year-on-year in April. Mortgage approvals increased to 66.3 thousand in April. Money supply (M4) increased by 3% year-on-year in April. Markit manufacturing PMI fell to 49.4 in May, the lowest since 2016. Construction PMI also fell to 48.6, while services PMI increased to 51. GBP/USD increased by 0.5% this week. During Trump’s visit to U.K. this week, he said that U.S. companies should have market access to every sector of the British economy as part of any deal. The pound is likely to trade higher until political uncertainty is reintroduced in July, ahead of elections for a new Conservative leader. Report Links: A Contrarian View On The Australian Dollar - May 24, 2019 Take Out Some Insurance - May 3, 2019 Not Out Of The Woods Yet - April 5, 2019 Australian Dollar Chart II-9AUD Technicals 1 Chart II-10AUD Technicals 2 Recent data in Australia have been mixed: Private sector credit increased by 3.7% year-on-year in April, slightly lower than expected. AiG performance of manufacturing index fell to 52.7 in May, while the services index increased to 52.5. The current account deficit narrowed to from A$6.3 billion to A$2.9 billion in Q1. Retail sales contracted by 0.1% month-on-month in April. GDP came in at 1.8% year-on-year in Q1, in line with expectations. Trade surplus fell to A$4.9 million in April. AUD/USD increased by 0.76% this week. The RBA cut interest rates by 25 bps to a record low of 1.25% on Tuesday, the first move since August 2016. Governor Philip Lowe emphasized that this decision is not due to deterioration in the Australian economy. Moreover, he believes that while the cut might reduce interest income for many, the effects will be fully passed to mortgage rates, thus lowering payments and boosting disposable income. Report Links: A Contrarian View On The Australian Dollar - May 24, 2019 Beware Of Diminishing Marginal Returns - April 19, 2019 Not Out Of The Woods Yet - April 5, 2019 New Zealand Dollar Chart II-11NZD Technicals 1 Chart II-12NZD Technicals 2 Recent data in New Zealand have been mostly negative: Consumer confidence fell to 119.3 in May. Terms of trade increased by 1% in Q1. ANZ commodity price was unchanged in May. NZD/USD increased by 1.4% this week. The New Zealand dollar is benefitting from rising soft commodity prices, on the back of a poor U.S. planting season. However, we believe terms of trade over the longer term will be more favorable for Australia, compared to New Zealand. Hold strategic long AUD/NZD positions. Report Links: Not Out Of The Woods Yet - April 5, 2019 Balance Of Payments Across The G10 - February 15, 2019 A Simple Attractiveness Ranking For Currencies - February 8, 2019 Canadian Dollar Chart II-13CAD Technicals 1 Chart II-14CAD Technicals 2 Recent data in Canada have been mostly positive: Industrial product prices increased by 0.8% month-on-month in April. GDP growth increased by 1.4% year-on-year in Q1, above expectations.  Markit manufacturing PMI fell to 49.1 in May. Labor productivity increased by 0.3% quarter-on-quarter in Q1. The trade deficit narrowed to C$0.97 billion in April. Exports increased to C$50.7 billion, while imports fell to C$51.7 billion. USD/CAD fell by 1% this week. The latest downdraft in oil prices is likely to have a negative impact on the loonie. We remain short CAD/NOK as a play on better pricing for North Sea crude, versus WTI. Norway will also benefit more from a pickup in European growth.  Report Links: Currency Complacency Amid A Global Dovish Shift - April 26, 2019 A Shifting Landscape For Petrocurrencies - March 22, 2019 Into A Transition Phase - March 8, 2019 Swiss Franc Chart II-15CHF Technicals 1 Chart II-16CHF Technicals 2 Recent data in Switzerland have been neutral: Real retail sales fell by 0.7% year-on-year in April, versus the consensus of -0.8%. Headline inflation fell from 0.7% to 0.6% year-on-year in May. Manufacturing PMI increased to 48.6 in May. USD/CHF fell by 1.1% this week. The franc will benefit from rising volatility as penned in our Special Report three weeks ago. Moreover, the franc is still cheap relative to its fair value. Report Links: What To Do About The Swiss Franc? - May 17, 2019 Beware Of Diminishing Marginal Returns - April 19, 2019 Balance Of Payments Across The G10 - February 15, 2019 Norwegian Krone Chart II-17NOK Technicals 1 Chart II-18NOK Technicals 2 There was little data out of Norway this week: Manufacturing PMI came in at 54.4 in May, from 54 in April. Current account surplus increased from NOK 47.3 billion to NOK 67.8 billion in Q1. USD/NOK fell by 0.6% this week. Our Commodity & Energy team continue to favor oil prices, but have revised down their forecasts from $77/bbl to $73/bbl for Brent this year and next. Despite the recent plunge in crude oil prices, rising inventories in the U.S. allow for OPEC production cuts, which will eventually be bullish. Report Links: Currency Complacency Amid A Global Dovish Shift - April 26, 2019 A Shifting Landscape For Petrocurrencies - March 22, 2019 Balance Of Payments Across The G10 - February 15, 2019 Swedish Krona Chart II-19SEK Technicals 1 Chart II-20SEK Technicals 2 Recent data in Sweden have been positive: Manufacturing PMI jumped to 53.1 in May, versus 50.9 in the previous month. Retail sales grew by 3.9% year-on-year in April. Industrial production increased by 3.3% year-on-year in April. Manufacturing new orders rose by 0.1% year-on-year in April.  Lastly, the current account surplus increased to SEK 63 billion in Q1.  USD/SEK fell by 0.6% this week. We like the Swedish krona as a potential reflation play and are going long SEK/NZD this week for a trade. Report Links: Balance Of Payments Across The G10 - February 15, 2019 A Simple Attractiveness Ranking For Currencies - February 8, 2019 Global Liquidity Trends Support The Dollar, But... - January 25, 2019 Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Closed Trades
Crude oil price volatility surged over the past week, and likely will remain elevated. Underlying prices continue to reflect heightened policy risk ranging from continuing Sino – U.S. trade-war tensions; new tariff threats against Mexico from the Trump administration; global growth concerns, which are fuelled by rising oil inventories in the U.S.; and the continued threat of war in the Persian Gulf (Chart of the Week). These factors are exacerbating recession fears in the U.S., where the yield curve is pricing in a greater than one-in-three chance of a recession one year forward (Chart 2). Given the above-trend performance of the American economy relative to other DM economies, this is disconcerting re global growth generally, and re EM GDP prospects in particular. EM GDP drives EM commodity demand. Given EM commodity demand is the principal driver of global commodity demand, it is especially important in our modeling. Chart of the WeekVolatility Surges on Policy-Risk Concerns   Reducing EM GDP growth from 4.2% and 4.5% this year and next to 3.8% and 4.1% shaves ~ $2/bbl off our 2019 Brent price expectation and $3/bbl off our 2020 expectation. Chart 2Bond Market Pricing High Odds of U.S. Recession To be conservative, our oil-demand assumptions for EM GDP have followed World Bank estimates, which means they’ve been below post-Global Financial Crisis (GFC) trend (Chart 3). Cutting right to the chase: Reducing EM GDP growth from 4.2% and 4.5% this year and next to 3.8% and 4.1% shaves ~ $2/bbl off our 2019 Brent price expectation and $3/bbl off our 2020 expectation. This brings our Brent forecast to $73/bbl and $77/bbl for this year and next.1 We continue to expect WTI to trade $7/bbl and $5/bbl below Brent this year and next. Highlights Energy: Overweight. We expect OPEC 2.0 – the producer coalition led by the Kingdom of Saudi Arabia (KSA) and Russia – to extend its production cuts to year end when it meets later this month or next month. This will still allow OPEC 2.0 to raise production in 2H19 over 1H19 if needed, due to the group's current over-compliance with the agreed cuts. KSA's production is currently close to ~500k b/d below its output target. We believe Wednesday’s inventory report released by the U.S. EIA showing a 22.4mm-barrel increase in commercial crude oil and refined products inventories all but assures OPEC 2.0’s production cuts will be extended when the producer coalition meets. Base Metals: Neutral. Union members who voted to strike a Codelco copper mine over the weekend remain on the job, after Chilean government officials joined to mediate negotiations, according to Fastmarkets MB. Precious Metals: Neutral. Gold rallied above $1,340/oz – up 4% over the past week – as global trade tensions and other factors riling equity, bond and commodity markets intensified. Ags/Softs: Underweight. The USDA reported corn plantings were running at 67% this week, vs. an average of 96% percent over the 2014 – 18 period. The department surveyed 18 states, which account for 92% of all 2018 corn acreage. Feature Global oil demand concerns are manifesting themselves in the almost-relentless selling of futures seen in the past two weeks. This coincided with an increasing risk premium noted in our price decomposition, and with rising concerns over the health of the global economy generally.2 Markets are becoming increasingly concerned U.S. and Chinese trade and foreign policy will spill into the larger global economy and result in a full-blown global trade war. Already, Mexico and Canada have been drawn into this vortex once again – the former is being threatened with U.S. tariffs once more, after presumably having agreed to a revised NAFTA treaty, the latter via increased inspection of meat imports into China.3 On Wednesday, the World Bank lowered its global growth forecast, taking 0.3 percentage points off its 2019 growth estimate – lowering it to 2.6% in 2019 – and reducing its 2020 forecast to 2.7% from 2.8% earlier.4 The Bank noted, “Emerging and developing economy growth is constrained by sluggish investment, and risks are tilted to the downside. These risks include rising trade barriers, renewed financial stress, and sharper-than-expected slowdowns in several major economies.” Assessing Lower EM Growth Prospects We follow the World Bank’s GDP growth estimates closely, largely because the Bank’s forecasts tend to be lower than those of the IMF, which induces a measure of conservatism to our forecasts. We use the Bank’s EM GDP estimates (levels and growth rates) to estimate oil demand in our modelling. Prior to the Bank’s updated forecast released on June 4, we re-estimated EM oil consumption, by shaving 0.4 percentage points from our earlier EM GDP forecast. This means our simulation is 0.1 percentage point below the Bank’s most recent estimate for EM GDP this year, and 0.3 percentage points below the Bank’s 2020 estimate. Using the World Bank's revised forecasts as inputs to our fundamental model – and leaving all other assumptions unchanged – the lower EM GDP estimate for 2019 would take our average Brent expectation to $71/bbl. Averaging this with our existing expectation of $75/bbl leads us to change our 2019 forecast to $73/bbl. To hit this new estimate of $73/bbl would require 2H19 Brent prices to average ~ $79/bbl, which we believe is not unreasonable. For 2020, the slowdown in EM GDP we used gives an expectation of $73/bbl for Brent, versus our previous estimate of $80/bbl. We average these as well, and change our estimate for 2020 Brent to $77/bbl. OPEC 2.0 Remains Focused On Lower Inventories Our lower EM GDP estimates take growth rates to those roughly prevailing during the 2015 – 16 oil-price collapse. This episode was a true global shock, particularly for commodity exporters, which was not offset by higher growth in the GDPs of commodity importers (Chart 4). This go-round is different, however: The 2015 – 16 oil price collapse was a self-inflicted shock, occasioned by OPEC’s decision to launch an all-out market-share war in 2014. This had a devastating effect on EM commodity-exporting countries, particularly the oil exporting countries. We expect OPEC 2.0 to extend production cuts, even though we believe the market will need an additional 900k b/d of production from the producer coalition. This time, the global backdrop is considerably different. For one thing, the oil-price collapse laid the foundation for the formation of OPEC 2.0, which has shown remarkable production discipline since it was founded in November 2016, and took on the mission of reducing the massive unintended inventory accumulation brought on by the combination of the OPEC market-share war and surging U.S. shale production (Chart 5). The nominal target for this mission is OECD inventories. Chart 4EM Oil Demand vs. GDP Chart 5Commercial Oil Inventories Will Resume Drawing We continue to stress this founding principal of OPEC 2.0, because its leadership continues to make it a focal point when engaging with the press and guiding the market. It is for this reason we expect OPEC 2.0 to extend production cuts, even though we believe the market will need an additional 900k b/d of production from the producer coalition to keep prices below $85/bbl. KSA’s Energy Minister, Khalid al-Falih, this week said, “We will do what is needed to sustain market stability beyond June. To me, that means drawing down inventories from their currently elevated levels.”5 Fiscal, Monetary Policy Support EM Demand The other noteworthy aspect of the current market is central banks globally are more accommodative than they were during the 2015 – 16 oil-price collapse. In addition, fiscal stimulus is being deployed globally, and likely will be increased. Against this backdrop, it is difficult to see monetary or fiscal policy being the sort of headwind it has shown it can be post-GFC. As our colleague Peter Berezin noted in last week’s Global Investment Strategy, “politicians will pursue large-scale fiscal stimulus” to avoid a slide into deflation.6 U.S. – Iran Tensions High, But Ebbing Lastly, oil markets seem to have reduced their concern over U.S. – Iran tensions in the Persian Gulf. This may be due to the fact that U.S. Secretary of State Mike Pompeo said the U.S. was “prepared to engage in a conversation (with Iran) with no pre-conditions. We are ready to sit down.”7 All the same, the U.S. recently deployed an aircraft carrier strike group to the Persian Gulf, where it now is on station, and B52 bombers. From the oil market’s perspective, any thawing in the potential military standoff in the Gulf would require the U.S. to abandon its stated goal of reducing Iran’s oil exports to zero. In and of itself, a resumption of official Iranian oil exports would simply re-distribute production cuts and the make-up production OPEC 2.0 is providing markets in the wake of Venezuela’s collapse, where oil production has fallen to ~ 850k b/d from ~ 2mm b/d when OPEC 2.0 was formed. Bottom Line: Wednesday’s massive 22.4mm-barrel build in U.S. crude and refined product inventories shocked the global oil market, and pushed Brent prices toward $60/bbl as we went to press. Almost surely, this will harden KSA’s and OPEC 2.0’s resolve to maintain production cuts into 2H19 to drain oil inventories globally. The lower prices also will act as a headwind to U.S. shale producers, a topic we will take up in a two-part Special Report next week and the following week. We’ve established rig counts in the U.S. shales are closely tied to WTI price levels and curve shape: Lower prices and a flattening forward curve will restrain drilling in the shales, and the rate of growth in U.S. output. Lastly, fiscal and monetary policy globally will be supportive of commodity demand, and EM oil demand in particular, as this stimulus is deployed. We continue to expect prices to rally from here, but have lowered our forecasts slightly to $73 and $77/bbl for Brent this year and next. We continue to expect WTI to trade $7 and $5/bbl below these levels in 2019 and 2020.   Robert P. Ryan, Chief Commodity & Energy Strategist rryan@bcaresearch.com   Footnotes 1      Please note, we ran our simulations earlier this week, prior to the World Bank’s most recent forecast released June 4.  This means our simulation is 0.1 percentage point below the Bank’s most recent estimate for EM GDP this year, and 0.3 percentage points below the Bank’s 2020 estimate.  2      Please see BCA Research’s Commodity & Energy Strategy Weekly Report titled “Policy Risk Sustains Oil’s Unstable Equilibrium,” dated May 23, 2019, available at ces.bcaresearch.com. 3      The amounts involved in the stepped up meat inspections in China are small. However, they can be read as an extension of the foreign-policy imbroglio involving the possible extradition of Huawei Technologies’ CFO from Canada to the U.S. to face trial on charges she and the company allegedly conspired to commit bank and wire fraud to avoid U.S. sanctions on Iran.  Chinese officials deny there is any connection.  Please see “Canada says China plans more meat import inspections, industry fears disaster,” published by reuters.com June 4, 2019. 4      Please see Global growth to Weaken to 2.6% in 2019, Substantial Risks Seen , published by the World Bank June 4, 2019. 5      This quote came from a reuters.com report that relayed what al-Falih told Arab News. Please see “Saudi’s Falih says OPEC+ consensus emerging on output deal in second half,” published June 3, 2019. 6      Please see Global Investment Strategy Weekly Report titled “MMT And Me,” dated May 31, 2019, which discusses the prospects for large-scale fiscal stimulus and accommodative monetary policy globally.  It is available at gis.bcaresearch.com.  Peter also expects a détente in the Sino – U.S. trade war, arguing both sides would benefit from reducing trade tensions and tariffs. 7      Please see U.S. prepared to talk to Iran with 'no preconditions', Iran sees 'word-play' published by reuters.com June 2, 2019.  This followed news that Iran’s President Hassan Rouhani said his country is willing to speak with the U.S. if it shows respect. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades TRADE RECOMMENDATION PERFORMANCE IN 2019 Q1 Commodity Prices and Plays Reference Table Trades Closed in 2019 Summary of Closed Trades
Special Report Feature Through the past five years, the global long bond yield has tried to surpass 2.5 percent on three occasions – once in 2015, twice in 2018. But it has failed (Feature Chart). The global long bond yield’s five-year struggle to break through 2.5 percent convinces us that the so-called ‘neutral’ rate of interest is now extremely low, indeed zero in real terms. This is a very high conviction view though, to be clear, not every BCA strategist may necessarily concur. Feature ChartSince 2015, The Global Long Bond Yield Has Struggled To Surpass 2.5 Percent The neutral rate of interest is the interest rate at which monetary policy is neither accommodative nor restrictive, the interest rate consistent with the economy maintaining full employment while keeping inflation constant. That much is generally accepted. Here’s where we differ from the conventional thinking: what is setting the neutral rate now is not the economy’s direct sensitivity to the interest rate via rate sensitive sectors such as mortgage lending or home construction: rather, it is the economy’s indirect sensitivity to the interest rate via its impact on equities and other so-called ‘risky’ assets. This Special Report challenges the conventional wisdom on the neutral rate on three specific points: The neutral rate is based on the bond yield, not on the policy interest rate. The neutral rate is global, not European or region specific. The neutral rate is nominal, not real. The Neutral Rate Is Based On The Bond Yield, Not On The Policy Interest Rate The $400 trillion combined value of equities, corporate bonds, real estate and other risky assets dwarfs the $80 trillion global economy by five to one. These risky assets are long-duration assets, because their cash flows extend into the distant future. Hence, the market calibrates the expected return available on these risky assets from the supposedly less risky return available from long-duration bonds – the bond yield – plus a ‘risk premium’. Now comes the part of the story that is not well understood, even by central bankers, because it derives from recent advances outside their field of expertise. Years of research in behavioural finance conclude that the measure that best encapsulates our perception of an investment’s risk is not its volatility but its negative asymmetry: the potential largest loss as a multiple of the potential largest gain (Chart I-2). The $400 trillion combined value of equities, corporate bonds, real estate and other risky assets dwarfs the $80 trillion global economy by five to one. Crucially, when the bond yield gets low, the proximity of its lower bound dramatically reduces the potential for price gains while leaving open the potential for large losses. This sudden onset of negative asymmetry means that bonds are no longer less risky than equities or other risky assets (Chart I-3). So risky assets no longer need to deliver a higher expected return than bonds (Chart I-4). Chart I-5Equities Offer Diversification Benefits Too! Some people counter that bonds offer investors a diversification benefit and, because of this, investors still need a higher return from equities. This argument is wrong. Just as bonds can protect equity investors, equities can protect bond investors during vicious sell-offs in the bond market – such as after Trump’s shock victory in 2016 (Chart I-5). So we could equally argue that equities require the lower return. In fact, at a low bond yield, with the same negative asymmetry and diversification properties, both equities and bonds must offer the same prospective return.   The upshot is that once the bond yield gets low and stays low, equity (and other risky asset) returns collapse to the feeble return offered by bonds with no additional ‘risk premium’ giving the valuation of $400 trillion of assets an exponential uplift (Chart I-6). The unfortunate corollary is that if the bond yield was no longer low, the valuation of $400 trillion of assets would suffer an exponential decline. And the consequent deterioration in financial conditions would send a chill wind through the global economy. Theoretically and empirically, the hyper-sensitivity of equity valuations to bond yields is greatest when the 10-year bond yield is in the 2-3 percent range. But which 10-year bond yield?1  Chart I-6Equities Are Now Priced To Generate A Feeble Long-Term Return The Neutral Rate Is Global, Not European Or Region Specific The question: ‘will European equities go up or down?’ is essentially the same as ‘will U.S. equities go up or down?’ or ‘will Chinese equities go up or down?’ albeit the size of the moves can be quite different. The same applies to mainstream bond markets; in directional terms, bonds move together. Chart I-7The Global 10-Year Yield Is The Average Of The Euro Area, U.S., And China Given this tight directional integration of global capital markets – and to some extent economies too – asset allocators make the asset class choice between equities and bonds their primary decision, and the regional allocation the subsidiary decision. It follows that the point of hyper-sensitivity of equity valuations, be it in Europe or any other region, is when the global 10-year bond yield is in the 2-3 percent range. What is the global 10-year bond yield? Previously, we defined it in terms of the German bund, U.S. T-bond, and JGB. But we now have an even better definition: it is the simple average of the 10-year yields in the world’s three major economies; the euro area, U.S., and China (Chart I-7).2  Given this yield’s five year struggle to surpass 2.5 percent, we can say that the ‘neutral’ rate, at which tighter financial conditions do not threaten any major economy, might be somewhere below this recent empirical limit, at around 2 percent. The Neutral Rate Is Nominal, Not Real Investors always think about the negative asymmetry of returns in nominal terms. This is because the losses they fear tend to be too short and too sharp for the real return to be meaningfully different from the nominal return.3 It follows that the aforementioned hyper-sensitivity of equity valuations is when the nominal bond yield is in the 2-3 percent range, resulting in a neutral nominal rate which might be 2 percent (Chart I-8). But if inflation is also running fairly close to 2 percent, as it is in the major economies, the upshot is that the neutral real rate of interest is zero.  What Does All Of This Mean? To sum up, a decade of ultra-loose monetary policy has fostered an addiction to – or at least a dependency on – low bond yields (Chart I-9). But the dependency is not of the rate sensitive sectors in the economy per se, rather it is of the rich valuation of risky assets whose worth dwarfs the global economy by five to one (Chart I-10). Gradually, this dependency should diminish as economic and profit growth improves valuations, but this will take time. Chart I-9A Decade Of Ultra-Loose Monetary Policy... Chart I-10...Has Made The Rich Valuation Of Risky Assets Dependent On Low Bond Yields In the meantime, the integration of global capital markets means that the valuation cue for European – and all regional – stock markets now comes from the global 10-year bond yield. Given its recent decline to slightly below neutral, stock markets are unlikely to free fall. A decade of ultra-loose monetary policy has fostered an addiction to – or at least a dependency on – low bond yields. That said, the aggregate market is likely to be in a sideways structural pattern, as it has been for the past eighteen months, and the big opportunities will continue to come from sector rotation: in the second half of the year switch out of economically sensitives such as industrials, and into defensives such as healthcare. A final point is that any decline in the global bond yield to below neutral will come disproportionately from higher yielding bond markets. This will underpin the lower yielding major currencies such as the euro. But our first choice for the second half of the year remains the Japanese yen. Fractal Trading System* This week, we see an excellent opportunity to short Russia’s recent strong outperformance versus Japan. The recommended trade is short MOEX versus Nikkei225 with a profit target of 5 percent and symmetrical stop-loss. In other trades, short WTI crude versus LMEX achieved its profit target. Against this, short the French OAT reached its stop-loss. This leaves three open positions. 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-11 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.   Dhaval Joshi, Chief European Investment Strategist dhaval@bcaresearch.com Footnotes 1 Consider what happens to valuations when bond yields decline from 4% to 2%. At a 4% bond yield, equities possess significantly more negative asymmetry than 10-year bonds. So investors will demand a comparatively higher return from equities, let’s say 8% a year. Whereas, at a 2% bond yield, equities and 10-year bonds possess the same negative asymmetry. So investors will demand the same return from equities as they can get from bonds, 2% a year. At the lower bond yield, the bond must deliver 2% a year less for ten years compared to previously, meaning its price must rise by 22%. But equities must deliver 6% a year less for ten years, so the equity market must surge by 80%. 2 We define the global 10-year bond yield as the simple average of the three 10-year bond yields in the euro area, U.S., and China, where the 10-year bond yield in the euro area is the issue-weighted average of the euro area’s individual 10-year bond yields. 3 For example, if bonds had a countertrend correction of 10% in a month when the economy was suffering severe deflation of 10% (per annum), it would still equate to a 9% loss in real terms! Fractal Trading System Recommendations Asset Allocation Equity Regional and Country Allocation Equity Sector Allocation Bond and Interest Rate Allocation Currency and Other Allocation 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 Chart 1Bond Rally Supports Stocks Financial markets are pricing-in an intensifying global growth slowdown, but not all assets are responding equally. U.S. Treasuries have rallied strongly, while equities and credit spreads remain resilient. Case in point, the S&P 500 is only 5.9% off its Q3 highs in absolute terms, but is down 11.3% versus bonds (Chart 1). The markets are pricing-in that the Fed will react to slower growth by cutting rates and that easier Fed policy will keep risk assets supported. But consider what will happen if, at the June FOMC meeting, the Fed doesn’t seem as eager to cut rates as the market would like. The perception of less monetary support could prompt a sharp sell-off in equities and credit spreads. That tightening of financial conditions could then be enough to force the Fed’s hand, ultimately leading to the rate cut that the market has already come to expect. The odds of the above scenario are rising by the day, especially since the President’s decision to expand the trade war to Mexico. We recommend a cautious near-term (0-3 month) stance on credit spreads as a hedge against this mounting risk.  Feature Investment Grade: Overweight Chart 2Investment Grade Market Overview Investment grade corporate bonds underperformed the duration-equivalent Treasury index by 139 basis points in May, dragging year-to-date excess returns down to +221 bps. As we noted in last week’s report, corporate bond spreads have not responded as aggressively as some other assets – commodities and Treasuries – to the escalating trade war and the deteriorating global growth data.1 This leaves the sector vulnerable to a near-term sell-off, especially if the Fed doesn’t validate the market’s dovish expectations at this month’s FOMC meeting. We advise investors to hedge their exposure to credit spreads on a 0-3 month horizon. Beyond that, assuming that the U.S. government’s tariff announcements eventually reach a plateau, the outlook for corporate bond excess returns is positive on a 6-12 month investment horizon. Spreads are comfortably above levels typically seen at this stage of the economic cycle (Chart 2) and, tariffs aside, the U.S. economy is growing at a reasonable clip. As for balance sheets, corporate profit growth contracted in the first quarter, dragging the year-over-year growth rate down to 7%. That is roughly equivalent to the trend rate in corporate debt growth, meaning that if profit growth stabilizes near that level our measure of gross leverage will stay flat (panel 4). We are also keeping a close eye on C&I lending standards. While the most recent data showed an easing in Q1, the continued contraction in loan demand poses a risk (bottom panel). High-Yield: Overweight Chart 3High-Yield Market Overview High-Yield underperformed the duration-equivalent Treasury index by 250 basis points in May, dragging year-to-date excess returns down to +443 bps. As with investment grade corporates, the risk of near-term spread widening is high. We noted in last week’s report that excess junk returns versus Treasuries outpaced the CRB Raw Industrials index by 9% during the past 12 months, a historically wide divergence that is bound to fade.2 Looking further out, high-yield bonds still look like a good bet on a 6-12 month investment horizon. Spreads are comfortably above typical levels from past cycles and the excess spread available in the junk index after accounting for expected default losses has risen to 325 bps, well above its historical average (Chart 3). Assuming historically average excess compensation and a 50% recovery rate, current junk spreads discount an expected 12-month default rate of 3.1%. This is well above the Moody’s baseline projection of 1.5% and even above the 2.7% default rate seen during the past 12 months. The spread-implied default rate should be easy to beat, though a persistent increase in job cut announcements could pose a risk (bottom panel). MBS: Neutral Chart 4MBS Market Overview Mortgage-Backed Securities underperformed the duration-equivalent Treasury index by 40 basis points in May, dragging year-to-date excess returns down to -13 bps. The conventional 30-year zero-volatility spread widened 6 bps on the month, the combination of a 4 bps widening in the option-adjusted spread (OAS) and a 2 bps increase in the compensation for prepayment risk (option cost). At 49 bps, the conventional 30-year OAS now looks elevated compared to recent years, though it remains slightly below its pre-crisis mean (Chart 4). Nonetheless, we see high odds that the MBS/Treasury basis will contract going forward. Falling mortgage rates and an uptick in refinancing activity led to the recent widening in MBS spreads. But with the housing activity data showing signs of improvement, we anticipate that mortgage rates are close to a trough and that refis will soon peak (panel 2). If the “risk off” sentiment in financial markets prevails in the near-term, then MBS will outperform corporate credit. But expected 6-12 month excess returns remain higher for corporate bonds than for MBS. We therefore maintain only a neutral allocation to MBS, despite increasingly attractive valuations. Government-Related: Underweight Chart 5Government-Related Market Overview The Government-Related index underperformed the duration-equivalent Treasury index by 45 basis points in May, dragging year-to-date excess returns down to +107 bps. Sovereign debt underperformed duration-equivalent Treasuries by 205 bps on the month, dragging year-to-date excess returns down to +206 bps. Local Authorities outperformed the Treasury benchmark by 11 bps, bringing year-to-date excess returns up to +219 bps. Meanwhile, Foreign Agencies underperformed by 61 bps, dragging year-to-date excess returns down to +130 bps. Domestic Agencies underperformed by 1 bp in May, bringing year-to-date excess returns up to +28 bps. Supranationals outperformed by 4 bps on the month, bringing year-to-date excess returns up to +27 bps. Sovereign debt remains expensive relative to equivalently rated U.S. corporate credit (Chart 5), and the dollar’s relentless march higher presents a further headwind for the sector. We continue to recommend an underweight allocation. Previously, we made an exception for Mexican sovereign bonds, which trade cheap relative to U.S. corporates (bottom panel). However, with the U.S. government now threatening tariffs on imported Mexican goods, the peso will likely see heightened volatility in the coming months. We recommend standing aside on Mexican sovereigns for the time being. Municipal Bonds: Overweight Chart 6Municipal Market Overview Municipal bonds underperformed the duration-equivalent Treasury index by 75 basis points in May, dragging year-to-date excess returns down to +29 bps (before adjusting for the tax advantage). The average Aaa-rated Municipal / Treasury yield ratio rose 1% in May, and currently sits at 80% (Chart 6). The ratio is more than one standard deviation below its post-crisis mean, but close to the average of 81% that prevailed in the late stages of the previous cycle, between mid-2006 and mid-2007. Long-dated municipal bonds (10-year, 20-year and 30-year) have outperformed short-dated munis (2-year and 5-year) by a wide margin since the beginning of the year, but long-end yield ratios remain relatively attractive. 20-year and 30-year Aaa-rated municipal bonds are particularly alluring. Yield ratios for those bonds remain above their pre-crisis averages, whereas 10-year, 5-year and 2-year Aaa yield ratios are close to one standard deviation below their respective pre-crisis means. State & local government balance sheets are in decent shape and a material increase in ratings downgrades is unlikely (bottom panel). We therefore recommend an overweight allocation to municipal bonds, but with a preference for 20-year and 30-year Aaa-rated securities. We showed in a recent report that value declines sharply if you move into shorter maturities or lower credit tiers.3 Treasury Curve: Maintain A Barbell Curve Positioning Chart 7Treasury Yield Curve Overview The Treasury curve bull-flattened dramatically in May, with yields falling by more than 30 basis points for all maturities beyond 1 year. The 2/10 Treasury slope flattened 5 bps on the month and currently sits at 19 bps. The 5/30 slope was unchanged on the month and currently sits at 65 bps (Chart 7). The belly (5-year/7-year) of the curve looks particularly expensive relative to the wings (see Appendix B) and we continue to recommend a barbell curve positioning: Investors should overweight the long and short ends of the curve and avoid the belly.4 Further, this week we recommend an additional fed funds futures calendar spread trade to take advantage of possible near-term Fed actions. Investors should buy the August 2019 contract and sell the February 2020 contract. The long position in the August contract will turn a profit if the Fed responds to market turmoil and cuts rates at the June or July meetings. Meanwhile, the short position in the February 2020 contract will only lose money if 3 or more rate cuts occur between now and then. We would expect our spread trade to return +48 bps in a scenario where the Fed keeps rates flat until next March and +23 bps in a scenario where there is one rate cut in June or July and another rate cut between September and January. The only scenarios where the trade loses money involve two or more rate cuts between September and January. TIPS: Overweight Chart 8Inflation Compensation TIPS underperformed the duration-equivalent nominal Treasury index by 116 basis points in May, dragging year-to-date excess returns down to +39 bps. The 10-year TIPS breakeven inflation rate fell 21 bps on the month and currently sits at 1.74%. The 5-year/5-year forward TIPS breakeven inflation rate fell 15 bps on the month and currently sits at 1.90%. As we have noted in recent research, FOMC members are monitoring long-dated inflation expectations and are committed to keeping policy easy enough to “re-anchor” them at levels consistent with the Fed’s 2% target.5 In the long-run, this will support a return of long-dated TIPS breakeven inflation rates (both 10-year and 5-year/5-year forward) to our 2.3% - 2.5% target range. However, for breakevens to move higher investors will also need to see evidence that realized inflation can be sustained near 2%. On that note, the core PCE deflator grew at a healthy 3% (annualized) clip in April, but has only risen 1.6% during the past year. 12-month trimmed mean PCE inflation has been higher, and actually just moved above the Fed’s target following last week’s April data release (Chart 8). In last week’s report we noted that core PCE inflation has a track record of converging toward the trimmed mean.6 As such, we recommend that investors remain overweight TIPS versus nominal Treasuries in U.S. bond portfolios. ABS: Underweight Chart 9ABS Market Overview Asset-Backed Securities outperformed the duration-equivalent Treasury index by 15 basis points in May, bringing year-to-date excess returns up to +64 bps. The index option-adjusted spread for Aaa-rated ABS narrowed 5 bps on the month and actually hit a new all-time low of 26 bps in mid-May, before settling at 28 bps (Chart 9). In addition to poor valuation, the sector’s credit fundamentals are also shifting in a negative direction. Household interest payments continue to trend up, suggesting a higher delinquency rate going forward (panel 3). Meanwhile, the Fed’s Senior Loan Officer Survey revealed that average consumer lending standards tightened in Q1 for the second consecutive quarter. Tighter lending standards usually coincide with rising consumer delinquencies (bottom panel). Loan officers also reported slowing demand for credit cards for the fifth consecutive quarter, and slowing auto loan demand for the third consecutive quarter. The combination of poor value and deteriorating credit quality leads us to recommend an underweight allocation to consumer ABS. Non-Agency CMBS: Neutral Chart 10CMBS Market Overview Non-Agency Commercial Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 8 basis points in May, bringing year-to-date excess returns up to +195 bps. The index option-adjusted spread for non-agency Aaa-rated CMBS widened 2 bps on the month. It currently sits at 69 bps, below its average pre-crisis level but somewhat above levels seen in 2018 (Chart 10). The macro outlook for commercial real estate looks somewhat unfavorable, with lenders tightening standards (panel 4) amidst waning demand (bottom panel) and decelerating prices (panel 3). However, CMBS still offer reasonable compensation for this risk. Especially compared to other similarly-rated fixed income sectors.7 Agency CMBS: Overweight Agency CMBS underperformed the duration-equivalent Treasury index by 6 basis points in May, bringing year-to-date excess returns up to +90 bps. The index option-adjusted spread widened 3 bps on the month and currently sits at 51 bps. The Excess Return Bond Map in Appendix C shows that Agency CMBS offer high potential return compared to other low-risk spread product. An overweight allocation to this defensive sector remains appropriate. Appendix A - The Golden Rule Of Bond Investing We follow a two-step process to formulate recommendations for bond portfolio duration. First, we determine the change in the federal funds rate that is priced into the yield curve for the next 12 months. Second, we decide – based on our assessments of the economy and Fed policy – whether the change in the fed funds rate will exceed or fall short of what is priced into the curve. Most of the time, a correct answer to this question leads to the appropriate duration call. We call this framework the Golden Rule Of Bond Investing, and we demonstrated its effectiveness in the U.S. Bond Strategy Special Report, “The Golden Rule Of Bond Investing”, dated July 24, 2018, available at usbs.bcaresearch.com. Chart 11 illustrates the Golden Rule’s track record by showing that the Bloomberg Barclays Treasury Master Index tends to outperform cash when rate hikes fall short of 12-month expectations, and vice-versa. Chart 11The Golden Rule's Track Record At present, the market is priced for 75 basis points of cuts during the next 12 months. We do not anticipate any rate cuts during this timeframe, and therefore recommend that investors maintain below-benchmark portfolio duration. We can also use our Golden Rule framework to make 12-month total return and excess return forecasts for the Bloomberg Barclays Treasury index under different scenarios for the fed funds rate. Excess returns are relative to the Bloomberg Barclays Cash index. To forecast total returns we first calculate the 12-month fed funds rate surprise in each scenario by comparing the assumed change in the fed funds rate to the current value of our 12-month discounter. This rate hike surprise is then mapped to an expected change in the Treasury index yield using a regression based on the historical relationship between those two variables. Finally, we apply the expected change in index yield to the current characteristics (yield, duration and convexity) of the Treasury index to estimate total returns on a 12-month horizon. The below tables present those results, along with 95% confidence intervals. Excess returns are calculated by subtracting assumed cash returns in each scenario from our total return projections. Appendix B - Butterfly Strategy Valuation The following tables present the current read-outs from our butterfly spread models. We use these models to identify opportunities to take duration-neutral positions across the Treasury curve. The following two Special Reports explain the models in more detail: U.S. Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com U.S. Bond Strategy Special Report, “More Bullets, Barbells And Butterflies”, dated May 15, 2018, available at usbs.bcaresearch.com Table 4 shows the raw residuals from each model. A positive value indicates that the bullet is cheap relative to the duration-matched barbell. A negative value indicates that the barbell is cheap relative to the bullet. Table 4Butterfly Strategy Valuation: Raw Residuals In Basis Points (As of May 31, 2019) Table 5 scales the raw residuals in Table 4 by their historical means and standard deviations. This facilitates comparison between the different butterfly spreads. Table 5Butterfly Strategy Valuation: Standardized Residuals (As of May 31, 2019) Table 6 flips the models on their heads. It shows the change in the slope between the two barbell maturities that must be realized during the next six months to make returns between the bullet and barbell equal. For example, a reading of +56 bps in the 5 over 2/10 cell means that we would only expect the 5-year to outperform the 2/10 if the 2/10 slope steepens by more than 56 bps during the next six months. Otherwise, we would expect the 2/10 barbell to outperform the 5-year bullet. Table 6Discounted Slope Change During Next 6 Months (BPs) Appendix C - Excess Return Bond Map The Excess Return Bond Map is used to assess the relative risk/reward trade-off between different sectors of the U.S. fixed income market. The Map employs volatility-adjusted breakeven spread analysis to show how likely it is that a given sector will earn/lose money during the subsequent 12 months. The Map does not incorporate any macroeconomic view. The horizontal axis of the Map shows the number of days of average spread widening required for each sector to lose 100 bps versus a position in duration-matched Treasuries. Sectors plotting further to the left require more days of average spread widening and are therefore less likely to see losses. The vertical axis shows the number of days of average spread tightening required for each sector to earn 100 bps in excess of duration-matched Treasuries. Sectors plotting further toward the top require fewer days of spread tightening and are therefore more likely to earn 100 bps of excess return. Ryan Swift, U.S. Bond Strategist rswift@bcaresearch.com Jeremie Peloso, Research Analyst jeremiep@bcaresearch.com Footnotes 1 Please see U.S. Bond Strategy Weekly Report, “Hedge Near-Term Credit Exposure”, dated May 28, 2019, available at usbs.bcaresearch.com 2 Please see U.S. Bond Strategy Weekly Report, “Hedge Near-Term Credit Exposure”, dated May 28, 2019, available at usbs.bcaresearch.com 3 Please see U.S. Bond Strategy Weekly Report, “Full Speed Ahead”, dated April 16, 2019, available at usbs.bcaresearch.com 4 We have specifically been recommending a position short the 7-year bullet and long a duration-matched 2/30 barbell. 5 Please see U.S. Bond Strategy Weekly Report, “The New Battleground For Monetary Policy”, dated March 26, 2019, available at usbs.bcaresearch.com 6 Please see U.S. Bond Strategy Weekly Report, “Hedge Near-Term Credit Exposure”, dated May 28, 2019, available at usbs.bcaresearch.com 7 Please see U.S. Bond Strategy Weekly Report, “The Search For Aaa Spread”, dated March 12, 2019, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation
Highlights Inverted Curves & Recessions: While an inverted U.S. Treasury curve has been a reliable early indicator of past U.S. recessions, the current inversion appears “too soon” relative to the evolution of U.S. economic data today compared to past recessions. The Role Of The Term Premium: Term premia on U.S. Treasuries are negative at all maturities, much more so further out the yield curve, thanks to historically low economic and inflation volatility and, of late, greater investor risk aversion. This suggests that the economic signal from an inverted Treasury curve is somewhat distorted by unusually low bond risk premiums. The Stance Of Monetary Policy: Curve inversions that precede recessions are typically accompanied by tight monetary policy that trigger slowing growth expectations. On that front, the Fed’s current stance is roughly neutral based on measures like r* or the Taylor Rule. That does not, however, preclude the Fed from delivering rate cuts to offset the potential economic shock from escalating U.S. trade protectionism. Feature The rush into the safety of government debt accelerated rapidly last week, after another Trump Tariff Tweet targeted Mexican exports to the U.S. Investor confidence, already shaken by the escalation of the U.S.-China trade war, was further eroded by the news that the U.S. was willing to broaden the use of blunt economic tools like tariffs to deal with national security issues like illegal immigration. Global equity and credit markets sold off sharply, adjusting to both higher uncertainty and lower growth expectations. The biggest moves, however, came in the U.S. Treasury market. The 2-year Treasury yield fell -14bps to 1.92% after the Mexico tariff announcement and ended -34bps lower for the entire month of May – the largest monthly decline since November 2008 during the depths of the financial crisis. The 10-year Treasury yield fell -37bps on the month to 2.13%, below the fed funds target range of 2.25-2.5% and 22bps lower than the 3-month U.S. Treasury bill rate. This triggered the dreaded “inversion” signal that has preceded the majority of post-WWII U.S. recessions. The current Treasury curve inversion is not signaling an imminent U.S. recession – although it may signal a need for the Fed to ease policy to offset global growth uncertainties and below-target inflation. Given the well-known predictive properties of an inverted Treasury curve, investors are right to be more nervous about the outlook for U.S. economic growth and the potential for a recession. Multiple Fed rate cuts are now discounted in shorter-maturity Treasury yields. At the same time, the intense flight-to-quality bid for duration exposure has driven the term premium on longer-maturity Treasuries – and all other developed market government bonds – down to unprecedentedly negative territory (Chart of the Week). This can potentially alter the meaning of an inverted yield curve with regards to future economic growth and expected changes in monetary policy. Chart of the WeekUST Curve Inversion: A Too-Tight Fed Or A Too-Low Term Premium? In this Weekly Report, we discuss the typical drivers of yield curve inversions and conclude that the current Treasury curve inversion is not signaling an imminent U.S. recession – although it may signal a need for the Fed to ease policy to offset global growth uncertainties and below-target inflation. Could The Treasury Curve Be Wrong This Time? Chart 2This Is A GLOBAL Bond Rally The current sharp fall in government bond yields is not only occurring in the U.S. Treasury market. Yields are hitting new cyclical lows in many countries, with the 10-year German Bund yield ending May at an all-time low of -0.2%. Yield curves have bull-flattened during this move, with 10-year yields trading below 3-month Treasury bill rates not only in the U.S., but even in places like Canada and Australia (Chart 2). Global yields have been falling steadily since late in 2018, seemingly with little regard to the performance of risk assets in either direction. This suggests a more fundamental driver – like deteriorating growth expectations or perceptions of overly-tight monetary policy – rather than simple asset allocation decisions by investors. In July 2018, we published a Special Report discussing the drivers of yield curve shape in the major developed markets and the potential economic implications.1 For the U.S., we concluded that when the 10-year U.S. Treasury yield traded below the 3-month U.S. Treasury bill rate for an extended period of time (i.e. more than just a few days), the U.S. subsequently entered recession within twelve months, on average (Table 1). With the 10-year yield now trading below the 3-month rate, the clock may have already started counting down to a recession sometime in the next year. Table 1U.S. Curve Flattening, Inversions & Recessions Since 1960 Abstracting away from the yield curve, however, not all other U.S. economic data is behaving in line with past periods leading up to U.S. recessions. The New York Fed has a model that determines the probability of a U.S. recession one year ahead based on the slope of the 10-year/3-month Treasury curve.2 The current curve level translates into a 36% probability of a recession one year from now, which is in line with the probabilities seen before the three previous U.S. recessions (Chart 3). Chart 3New York Fed's Yield-Curve Based Recession Probability Model Flashing Red Abstracting away from the yield curve, however, not all other U.S. economic data is behaving in line with past periods leading up to U.S. recessions. In Chart 4, we show a “cycle-on-cycle” analysis of selected U.S. economic data series, comparing the current backdrop to past U.S. business cycles. For all panels, the solid line represents the current cycle, while the dotted line is the average of the past five U.S. business cycles. The data is lined up such that the vertical line in the chart represents the start date of past U.S. recessions as determined by the National Bureau of Economic Research. Shown this way, we can look how the data is evolving today and see how it compares to the way the data typically moves in the run-up to a recession. Based on the data, we can make the following conclusions: The current weakness in the U.S. manufacturing sector is in line with the start of past recessions, based on the depressed level of the ISM Manufacturing New Orders-to-Inventories ratio. The Conference Board’s U.S. leading economic indicator is usually contracting in the year prior to the onset of recession; today, the year-over-year growth rate is slowing but remains positive at 2.6%. The U.S. consumer is in much better shape today - initial jobless claims are not rising and consumer confidence is not falling, as typically happens in the run-up to an economic downturn. Non-financial corporate profits also typically start to contract about one year before a recession begins; today, profit growth has slowed from the tax cut fueled surge of 2018, but has not yet downshifted into negative territory on a year-over-year basis. We can apply the same cycle-on-cycle analysis to the U.S. Treasury curve to see how today compares to past pre-recessionary periods (Chart 5). Typically, the 2-year Treasury yield falls below the fed funds rate about one full year before the start of a recession, and ends up around 150bps below the funds rate when the downturn actually begins. In the current cycle, the 2-year dipped below the funds rate back in March of this year, and now sits 58bps below the funds rate. Both of those curve relationships, however, are influenced by the changing nature of the Treasury term premium. Chart 4Only A Manufacturing Recession Chart 5Mixed Messages From The Curve The New York Fed produces estimates of the Treasury term premium for all maturities, from one year up to ten years, which allows us to see how the term premium looks different today than prior to past U.S. recessions.3 As can be seen in the bottom two panels of Chart 5, the 10-year term premium has averaged between 100-150bps in the year prior to U.S. recessions, while the 2-year term premium has averaged between 25-50bps over the same period. Today, the term premia for 10-year and 2-year yields are now both deeply negative. This suggests that the current inversion of the 2-year/fed funds curve, and the 10-year/3-month curve, is likely giving too pessimistic a signal about future U.S. growth – a fact corroborated by the cycle-on-cycle analysis of U.S. economic data. Bottom Line: While an inverted Treasury curve has been a reliable early indicator of past U.S. recessions, the current inversion appears “too soon” relative to the evolution of U.S. economic data today versus past recessions. The Message From Depressed Bond Term Premia Today, the estimated term premium for 10-year Treasuries and 2-year Treasuries is -88bps and -70bps, respectively. This means that not only are bond investors willing to accept yields below the expected path of interest rates over the life of a bond (i.e. a negative term premium), they are accepting an even lower term/risk premium for bonds with longer maturities and durations – bonds that are more risky strictly in terms of price volatility. Why would that be? Typically, bond term premia are driven by the following factors: The volatility of inflation The volatility of bond yields and returns The volatility of economic growth Investor risk aversion Proxies for the first three factors are presented in Chart 6, alongside the estimate of the 10-year Treasury term premium dating back to the early 1960s. Broadly speaking, bond term premia have been higher when realized inflation is more volatile (second panel), unemployment is high (third panel) and Treasury yield volatility is elevated. Today, all of those factors are at, or very close to, the lowest levels seen over the past 50 years. No wonder term premia are so depressed. Chart 6Term Premia Are Depressed For Structural Reasons ... Today, while there has been some modest pickup in GDP volatility, the overall stability of growth and, more importantly, inflation is consistent with depressed bond term premiums. This is mildly exaggerating the pessimistic growth signal from an inverted Treasury curve.  Investor risk aversion does not exhibit the same type of broad multi-decade trends as growth and inflation, but it is safe to assume that investors become more risk averse when the economic backdrop is more uncertain. Periods of stable growth, categorized by low variability of U.S. nominal GDP growth or a rising trend in the global leading economic indicator, are associated with narrow term premiums and low measures of market-implied bond volatility like the MOVE index of U.S. Treasury option prices (Chart 7). Chart 7... And Cyclical Reasons This result does seem counter-intuitive – more economic uncertainty should make bonds safer, not riskier! The key to remember here is that it is only the term premium component of yields that rises during periods of greater volatility. Actual bond yields fall during those same periods, but because of more fundamental drivers like falling inflation expectations and a lower expected path of interest rates as the Fed eases policy. Today, while there has been some modest pickup in GDP volatility, the overall stability of growth and, more importantly, inflation is consistent with depressed bond term premiums. This is mildly exaggerating the pessimistic growth signal from an inverted Treasury curve. Bottom Line: Term premia on U.S. Treasuries are negative at all maturities, much more so further out the yield curve, thanks to historically low economic and inflation volatility and, of late, greater investor risk aversion. This suggests that the economic signal from an inverted Treasury curve is somewhat distorted by unusually low bond risk premiums. So Is The Fed Actually Running A Tight Monetary Policy? As we discussed in our yield curve Special Report last July, curve inversions typically occur during periods when monetary policy is considered restrictive. For example, every time the real fed funds rate (actual fed funds minus core PCE inflation) has been above the Fed’s estimate of the neutral r* real rate, the 10-year/3-month Treasury curve has inverted (Chart 8). Currently, the real funds rate is essentially equal to the Fed’s latest r* estimate, suggesting that monetary policy is neutral and not restrictive. Chart 8Too Soon For Sustained, Policy-Induced Yield Curve Inversion Other measures like the Taylor Rule can also provide an indication of whether monetary policy is too tight relative to real interest rates and measures of economic spare capacity. If policy was too restrictive, with a fed funds rate above the Taylor Rule, this would imply a more “fundamental” Treasury curve inversion. The Atlanta Fed’s interactive Taylor Rule tool provides estimates of a variety of Taylor Rules, using differing measures of the neutral real fed funds rate and measures of spare capacity.4 We show the results of those Taylor Rules in Table 2. Only one of twenty rules shown is currently producing a fed funds rate below the current 2.25-2.5% range, with fifteen rules indicating that a higher funds rate is still required. Table 2Taylor Rule Fed Funds Prescription Heat Map For 2019: Q2 Chart 9Our Fed Monitor Is Close To Calling For Rate Cuts Yet despite the more traditional indicators suggesting that the current level of the fed funds rate is not too high, that does not mean that there are not potential pressures on the Fed to cut rates. Our own Fed Monitor remains near the zero line, suggesting that no change in the Fed’s stance is warranted (Chart 9). Yet when looking at the individual components of the Fed Monitor, there has been enough softening of U.S. growth and inflation momentum to justify Fed rate cuts. Only the Financial Conditions component is preventing the overall Monitor from moving into the “easier policy required” zone. In other words, if equity and credit markets continue to sell off and the U.S. dollar continues to rally, a Fed rate cut becomes a higher probability outcome. Investment Conclusions Summing it all up, it does not appear that the current inverted Treasury yield curve is signaling a risk of a U.S. recession within the next 6-12 months. A very flat Treasury curve is appropriate with a Fed policy stance that is appropriately neutral. On a cyclical perspective, we still think that a small below-benchmark stance on overall portfolio duration for global bond investors is warranted, along with a modest underweight in U.S. Treasuries in currency-hedged global bond portfolios. On a more tactical basis, however, there is a growing chance that the Fed delivers an “insurance” rate cut or two before year-end in response to the increasing uncertainties over global growth and intensifying trade wars. Those cuts are largely discounted in the current level of yields, though. Our 12-Month Discounter now indicates that -75bps of rate cuts over the next year are priced into the U.S. Overnight Index Swap curve. A good tactical way to play for Fed cuts in 2019 is to implement a fed funds futures calendar spread trade to take advantage of possible near-term Fed actions. Investors should buy the August 2019 contract and sell the February 2020 contract – a position we are adding to our Tactical Overlay (see the table on page 15). The long position in the August contract will turn a profit if the Fed responds to market turmoil and cuts rates at the June or July meetings. Meanwhile, the short position in the February 2020 contract will only lose money if three or more rate cuts occur between now and then. On a more tactical basis, however, there is a growing chance that the Fed delivers an “insurance” rate cut or two before year-end in response to the increasing uncertainties over global growth and intensifying trade wars. We would expect our spread trade to return +45bps (unlevered) in a scenario where the Fed keeps rates flat until next March and +19bps (unlevered) in a scenario where there is one rate cut in June or July and another rate cut between September and January. The only scenarios where the trade loses money involve two or more rate cuts between September and January. Bottom Line: Curve inversions that precede recessions are typically accompanied by tight monetary policy that trigger slowing growth expectations. On that front, the Fed’s current stance is roughly neutral based on measures like r* or the Taylor Rule. That does not, however, preclude the Fed from delivering rate cuts to offset the potential economic shock from escalating U.S. trade protectionism. Go long an August 2019/February 2020 fed funds futures calendar spread trade to profit from near-term “insurance’ Fed rate cuts.   Robert Robis, CFA, Chief Fixed Income Strategist rrobis@bcaresearch.com Footnotes 1 Please see BCA Global Fixed Income Strategy/U.S. Bond Strategy Special Report, “Three Frequently Asked Questions About Global Yield Curves”, dated July 31, 2018, available at gfis.bcaresearch.com and usbs.bcaresearch.com. 2 Details of the NY Fed’s probit model of U.S. recession probability based on the slope of the Treasury curve can be found here: https://www.newyorkfed.org/research/capital_markets/ycfaq.html 3 There are several methodologies used to estimate term premia for government bond yields; the one used by the New York Fed is the Adrian, Crump and Moench (ACM) approach, details of which can be found here: https://www.newyorkfed.org/research/data_indicators/term_premia.html 4 The Atlanta Fed’s interactive Taylor Rule tool can be found here: https://www.frbatlanta.org/cqer/research/taylor-rule.aspx?panel=1 Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns
Feature The GAA DM Equity Country Allocation model is updated as of May 31, 2019.  The quant model has not made significant changes in the major country allocations, but has further increased Australia’s overweight after the upgrade in the previous month, as shown in Table 1.  Table 1Model Allocation Vs. Benchmark Weights As shown in Table 2 and Charts 1,  2 and  3, the overall model outperformed the MSCI World benchmark by 17 bps in May, largely from a 17 bps of outperformance from the Level 1 model, as the Level 2 model only eked out 1 bp of outperformance.  Directionally, five out of the 12 choices generated positive alpha. The largest contributions to the outperformance in May came from the overweight in Switzerland and Australia, as well as the underweight in the U.S.  Since going live, the overall model has outperformed by 170 bps, with a 350 bps of outperformance by Level 2 model, and an 11bps of outperformance from Level 1. Table 2Performance (Total Returns In USD %) Chart 1GAA DM Model Vs. MSCI World Chart 2GAA U.S. Vs. Non U.S. Model (Level 1)   Please see also the website http://gaa.bcaresearch.com/trades/allocation_performance. For more details on the models, please see Special Report, “Global Equity Allocation: Introducing The Developed Markets Country Allocation Model,” dated January 29, 2016, available at https://gaa.bcaresearch.com. Please note that the overall country and sector recommendations published in our Monthly Portfolio Update and Quarterly Portfolio Outlook use the results of these quantitative models as one input, but do not stick slavishly to them. We believe that models are a useful check, but structural changes and unquantifiable factors need to be considered too in making overall recommendations. Chart 3GAA Non U.S. Model (Level 2) GAA Equity Sector Selection Model The GAA Equity Sector Model (Chart 4) is updated as of May 31, 2019. Chart 4Overall Model Performance Table 3Model’s Performance (March 1, 2019 - Current) Table 4Current Model Allocations       The model’s relative tilts between cyclicals and defensives have changed compared to last month. On the backdrop of weaker global growth, the model has become positive on Consumer Staples and upgraded the sector. This was driven by both the momentum and growth components. This in turn decreases the overweight allocations to Industrials and Utilities, the model’s two overweights, and increases the underweight allocation to the eight remaining sectors. The valuation component remains muted across all sectors. Our expectations are that global growth bottoms in the back end of the year. However, the hard data has not fully materialized yet. While escalated trade war tensions between the U.S. and China continue to put downward pressure on growth indicators, Chinese credit and fiscal stimulus, similar to that of 2009 and 2015, will more than likely put a floor under further downside. For more details on the model, please see the Special Report “Introducing the GAA Equity Sector Selection Model,” dated July 27, 2016, as well as the Sector Selection Model section in the Special Alert “GAA Quant Model Updates,” dated March 1, 2019 available at https://gaa.bcaresearch.com. Xiaoli Tang, Associate Vice President xiaoliT@bcaresearch.com Amr Hanafy, Research Associate amrh@bcaresearch.com
Highlights We talk about “Mr. Market,” the bond market and the equity market, but prices in free economies and markets are set by innumerable interactions between individuals: Hence the failure of central planning; without bottom-up price signals, one can do no more than guess at how best to allocate resources. We are macro practitioners at BCA, but our work could benefit from a little thinking about micro-level motivations and constraints: Mundane structural constraints like wide bid-ask spreads, high borrow costs and prospectus terms can be hard to see from 30,000 feet. Getting into the heads of a handful of representative investor types might give us some fresh insights: This is a different approach for BCA, to be sure, but there has to be more to life than reading Fed tea leaves and parsing official statements and media leaks from American and Chinese trade negotiators. Feature Creative narratives – written, filmed, staged or sung – can open a window onto the motivations underlying broad social or cultural movements. We only care about movements that affect financial markets, of course, but we’re always looking for new ways to tap into the market Zeitgeist, which isn’t always laid bare on spreadsheets. In this report, we begin a summer long exploration of several market types with introductions to two veteran mutual fund managers, a university endowment CIO, and the founder of a new RIA firm. The point of these fictional composites is to think about institutional investor decision-making at the ground level, and so enhance the real-world relevance of our big-picture observations. There are no one-size-fits-all investment solutions. Itinerant BCA managing editors, going from client meeting to client meeting, quickly learn that institutional investment objectives come in all shapes and sizes. An idea received with resounding approval by one client (You know, that would make a lot of sense for us. Yes, yes, that’s perfect!) may go over like a lead balloon with three others (Oh, we can’t do that. We’re not set up to trade those/that would never fly with our board/the prospectus forbids anything like that.). The institutional investment landscape is an aggregate of several disparate constituencies. Faster money constituencies most often take the lead in setting prices, but different constituencies come to the fore at different times in particular market niches. Leadership rotation reflects the symbiosis among the constituencies’ varying aims, which regularly balance each other out, helping to ensure the maintenance of orderly two-way markets. As our European Investment Strategy service has noted in its fractal trading framework, excesses ensue when all the constituencies line up together, and our imaginative exercise just might provide a way to anticipate when consensus views are coalescing into stretched positioning. Survivors’ Biases Chart 1For Nimble Managers Only There are fewer mutual funds in New York than there were when Nick Andruzzi and Sanjay Patel entered the industry as analysts out of Wharton 20 years ago, but the two friends are still standing. “You hear about Oppenheimer?” Andruzzi asks as they grab a Thursday night drink in Grand Central. “Just about everyone laid off once Invesco closes the deal?” Patel shakes his head. “It keeps you on your toes, doesn’t it? Any more chatter about you guys?” “It’s died down over the last few weeks, but we’re too small to go it alone.” “Your fund still five stars?” “Over five years, four over three and one, and sitting right on the four/five line so far this year.” “Then you’re protected, no?” “I wouldn’t be the first to go, but I’d need to be five to be totally safe.” “What would that take for this year?” “Perfect knowledge of the yield curve. Can you help me with that one, bond guru?” Andruzzi laughs. “I’m my own Financials analyst again – every team had to cut at least one analyst before year-end – and we got ahead by using all our cash to fund a 500-bps overweight the banks in the last week of December and the first week of January (Chart 1). Once Bank of America got back into the 30s, we cut back to minus 200 bps. You tell me what the 10-year’s going to do and we’ll ride the banks to five stars.” Patel finishes his drink. “You got time for one more?” “One more. It’ll give you a chance to tell me about the ten-year.” “The economy looks fine to us, and we can’t possibly see why the Fed would cut once, much less twice, in the next twelve months when unemployment’s at a 50-year low. We think yields should be rising, but we thought that 30 basis points ago, too. We’ve been cutting back on our duration underweight for a while and we’re barely below benchmark now. We’ve even started trimming our credit overweights; I don’t buy into the worst-case trade scenarios, but we have to be prudent about risk management.” “Spoken like a true CIO.” A falling 10-year Treasury yield didn’t interrupt banks’ snapback rally at the beginning of the year, but it’s lately begun to exert a gravitational pull on the group that a tactical manager might exploit. “There’s just no upside to putting our funds on an island relative to the rest of the industry. I’m not playing the hero at this stage of my career, and it doesn’t make sense for the firm, either. We’ve got one of the biggest and best sales teams; the assets aren’t going anywhere as long as we deliver benchmark returns.” “And you keep your annuity going another three or four years.” “Amen, brother.” “So what’s a lower level on the 10-year that’d scare you, and a higher level that’d give you some confidence that the threat of yields breaking down is gone?” “2%, if 2.14% doesn’t hold, and 2.4% on the upside (Chart 2).” Chart 2Looking To The Long Bond ... “All right. We stay underweight BAC until the 10-year gets above 2.4%, then we get back up to overweight until we sell it again when the stock sticks its head above 30 (Chart 3). Lather, rinse, repeat.” Chart 3... To Inform Niche Equity Positioning Alumni Q&A Just around the corner at the Yale Club, Blair Howell, CIO of her alma mater’s Top 20 endowment, is participating in a panel discussion before a group of alumni. During the audience Q&A, an alumnus asks a question that’s been nagging at her for some time. “All of the panelists see stocks and bonds delivering pretty thin gruel over the next five to ten years. Everyone recognizes that this expansion has been going on for an awfully long time, and the consensus expects a recession in the next year or two. Against that backdrop, does it make sense to raise cash in anticipation of the inevitable downturn, when you’ll be able to put it to work more profitably?” Chart 4Defaults Pick Up Ahead Of Recessions “That’s a great question,” she says. “We’ve talked a lot internally about the feasibility of trying to align our asset allocation decisions with market cycles. The trouble is that no one can call market bottoms or tops with any certainty. That said, recessions and equity bear markets tend to coincide, and loan defaults start to take off in the run-up to a recession (Chart 4), so we do seek to reduce our risk profile in the more liquid parts of the portfolio when the storm clouds appear.” “There are two practical problems, though. One is that equities regularly take off in the latter stages of bull markets, so there’s a real cost to heading to the sidelines too early. And since there’s no better time to be invested in equities than at the start of a bull market (Chart 5), there’s also a significant cost to staying underinvested for too long. We’re working on developing models that will help us better time cyclical inflections in the public sleeves of the portfolio, but it’s easier said than done.” “The bigger issue is that we have to distribute 5% of the principal to the university every year. If we want to grow the endowment, we need an annual return of 7.5 to 8%. Zero interest-rate policy has essentially precluded us from making any material allocation to cash since I’ve come back here. If we let a significant portion of the portfolio lie fallow, the principal base would shrink and we’d need even bigger returns on the other side to catch up.” The five-to-ten-year outlook for stocks and bonds is not encouraging. “We share the view that public-market returns are going to be tepid relative to the post-’82 history. The best predictor of real bond returns five years out is the real yield at time of purchase (Charts 6 and 7). The cyclically-adjusted P/E ratio is an outstanding predictor of equity returns over ten years (Chart 8). The data point to public market returns that may fall short of funding a 5% annual distribution, much less meeting our 7.5-8% bogey. Our strategy for combating it is not to hide in cash and wait for a bear market, but to try to do better by investing outside of the crowded public markets.” Chart 8Equities Face An Uphill Climb “We are not Harvard, or Stanford, or Yale, but we do have enough heft to gain entrée to the private equity funds that have earned the bulk of the industry’s returns. We have sufficient heft to access hedge funds with solid track records in both bull and bear markets. The central premise isn’t historical returns per se – we can all recite the past-performance disclaimer in our sleep – it’s the notion of a liquidity premium. We are truly long-term investors, so we can seek out the greater prospective returns accruing to illiquid investments. That’s the structural edge we’re trying to exploit with alternatives.” She beams a smile at the alum and the room at large. He nods emphatically when she asks if that answered his question. That’s great, she thinks, but it doesn’t answer mine. She has been feeling increasingly hemmed in by the consultant-driven ecosystem that affords very little scope for endowment managers to turn the asset-allocation or manager-selection dials. She has made some modest incremental changes to the investment office, but she is beginning to view managing a large endowment as an exercise in painting by numbers. Start-Up Investing is the easiest part of Kate Palmer’s job, which is good, because everything else involved in trying to achieve critical mass at her fledgling Austin, Texas RIA firm is time consuming. She brought $125 million of client assets with her from the high net worth arms of the bulge-bracket investment banks where she worked for her first decade after law school, and she’s raised a fresh $25 million so far. The resulting $1.5 million in fees is enough to pay the rent on a tastefully appointed space in a newish office park, hire two full-time analysts, a part-time rising third-year law student, and two full-time wealth managers, with whom she’s split point-of-contact responsibility for their 21 existing clients. We’re trying to walk a mile in the shoes of several types of investors to learn what makes them tick. Prospecting for new clients, servicing existing ones, offering estate- and tax-planning guidance, and vetting outside managers eats up 50 to 55 hours a week, so she has streamlined the portfolio management process according to the principles embedded in her new-client pitch. The portfolios get diversified market exposure via a basket of low-cost index ETFs, and active management from a pool of mutual-fund and alternative-asset managers she worked with at the investment banks. The firm uses research from two independent macro research providers and its account custodian to develop cyclical views that inform client positioning. She intends to bulk up in-house portfolio management to allow for more customization of client portfolios once AUM gets into the $250-to-500 million range, but she needs the assets first. What Comes Next These four investors comprise half of our cast of characters, and we will introduce the rest before the Fourth of July. We are seeking a bottom-up perspective on how investors interpret and react to the macro data that BCA researchers live and breathe, but which shows up on their radar only intermittently. The goal is to get a better read on how markets process the data series we model and track to gain insight into the future direction of the cycles that most influence investment outcomes. Maybe we’ll even figure out why markets’ expectations for the Fed differ so sharply from ours.   Doug Peta, CFA Chief U.S. Investment Strategist dougp@bcaresearch.com