Money/Credit/Debt
Highlights Chinese capex and EM domestic demand will falter again in the second half of this year. This is not contingent on a growth slowdown in the advanced economies, but due to a further slowdown in bank lending in EM and lower commodities prices. The direction of EM share prices in absolute terms and relative to the S&P 500 is determined by EPS trajectory, not equity valuations. We expect EM EPS to drop in absolute terms and to underperform U.S. EPS. India's deleveraging cycle is well advanced, especially when compared with other EM economies. Maintain an overweight position in Indian equities within the EM universe. Continue betting on yield curve steepening. Stay long the Czech koruna versus the euro. Feature EM/China growth will relapse in the second half of this year. Share prices, presuming they are forward-looking, will roll over beforehand. Chinese interest rates have risen, which typically heralds a downtrend in the mainland's credit impulse and business cycle (Chart I-1). Chinese interest rates are shown as an annual percentage change, inverted and advanced. This is a typical relationship between interest rates and credit cycles, and there is currently no reason why it will play out any differently in China. Given the mainland has a lingering credit bubble, rising borrowing costs and regulatory tightening of banks and the shadow banking system are guaranteed to lead to a relapse in credit origination, and in turn economic growth. China's yield curve has been flattening in recent months. This often precedes a selloff in both EM share prices and industrial metals (Chart I-2). Chart I-1China: Interest Rates ##br##And Credit/Business Cycles Chart I-2A Flattening Yield Curve In China Is ##br##A Bad Omen For EM And Commodities The Chinese yield curve has been experiencing bear flattening - front-end rates have risen more than long-term rates. Bear flattening in yield curves typically occurs before a major top in growth, when current conditions are still robust but the fixed-income market begins to question growth sustainability going forward. A flattening yield curve is consistent with our assessment: a lack of follow-through from last year's stimulus combined with the recent policy tightening will cause growth to downshift materially very soon. EM narrow (M1) money growth has rolled over decisively, and historically it has been a good leading indicator for EM earnings per share (EPS) (Chart I-3). The former has historically led the latter by about nine months. Chart I-3EM EPS To Roll Over In the Second Half 2017 The same is true in the case of China - the M1 impulse (the second derivative of M1) leads industrial profits by about six months and heralds an imminent reversal (Chart I-4). Chart I-4China's Industrial Profit Growth Recovery Is At A Risk The commodities currency index (an equally weighted average of AUD, NZD and CAD) has relapsed against the greenback. This index points to global growth deceleration in the second half of this year (Chart I-5). Similarly, these commodities currencies also lead commodities prices, and presently signal a top in the commodities complex (Chart I-6). Chart I-5Commodities Currencies Signify Weakness In Global Trade Chart I-6Commodities Currencies Point To Relapse In Commodities Prices In EM ex-China, Korea and Taiwan, bank loan growth has still been decelerating despite the global growth recovery of the past 12 months (Chart I-7, top panel). Besides, retail sales volume growth in EM ex-China, Korea and Taiwan has not ameliorated yet (Chart I-7, bottom panel). All of these economic aggregates are equity market cap-weighted. Similarly, auto sales in EM ex-China, Korea and Taiwan have been stabilizing at very low levels but have not recovered at all (Chart I-8). Hence, we infer that domestic demand in EM ex-China has stabilized, but it has not recovered. For example, manufacturing production in Brazil, Russia, South Africa and Indonesia has been rather subdued (Chart I-9). Chart I-7EM Ex-China, Korea And Taiwan: ##br##Domestic Demand Has Not Recovered Chart I-8EM Ex-China, Korea And Taiwan: ##br##Auto Sales Are Stabilizing At Low levels Chart I-9Synchronized Global Recovery? As EM ex-China credit growth decelerates further due to the lingering credit excesses and poor banking system health, their domestic demand will disappoint. This is a major risk to the EM profit outlook. Bottom Line: Chinese and EM domestic demand and by extension corporate earnings will falter again in the second half of this year. This view is not contingent on a growth slowdown in the advanced economies but will be the outcome of further slowdown in bank lending in EM and lower commodities prices. A reversal in Chinese imports from other EM is the link that explains how a relapse in the mainland's growth in the second half this year will hurt the rest of the world in general, and EM in particular. Profits Hold The Key Chart I-10Profits, Not Valuations, Hold The Key Emerging markets' relative performance versus the S&P 500 has historically been driven by EPS (Chart I-10). In the past 12 months, EM EPS has improved modestly but has not outperformed U.S. EPS in U.S. dollar terms. Consistently, EM stocks have failed to outperform the S&P 500 in common currency terms; they have been flat at low levels in the past 12 months. An important message from this chart is that equity valuations are not critical to EM versus U.S. relative equity performance. It is all about corporate profit cycles. The widely held view within the investment community is that EM stocks are cheaper than those in the U.S., and therefore will outperform based on more attractive valuations. The fact that EM stocks are indeed cheaper versus the S&P 500 only reflects the fact that U.S. equity valuations are expensive and EM equity valuations are neutral in absolute terms. Equity valuations may affect the degree of out- and underperformance, but they do not determine the direction of relative performance as vividly illustrated by Chart I-10. The same can be said about EM stocks' absolute performance. Equity valuations do not determine the direction of share prices; the latter rise when profits expand, and fall when EPS contracts. However, valuations affect the magnitude of the move in equity prices: cheap valuations and growing EPS will produce a larger rally compared to neutral equity valuations and identical growth in EPS. We discussed EM equity valuations at great length in our Weekly Report published two weeks ago.1 In absolute terms, EM equity valuations are presently neutral. Therefore, they have no bearing on the direction of share prices. If EM EPS expands, stocks will continue to rally. If EPS growth stalls or turns negative, EM stocks will stumble. As Charts I-3 and I-4 on page 3 illustrate, EM EPS will soon relapse. In addition, U.S. return on equity (RoE) remains well above EM's RoE (Chart I-11), reflecting better equity capital utilization in the U.S. versus the EM. Looking forward, one variable that has had a reasonably good track record in gauging relative performance of EM versus U.S. share prices is the ratio of industrial metals to U.S. lumber prices (Chart I-12). Industrial metals prices are a proxy for economic growth in China/EM, while U.S. lumber prices are indicative of America's business cycle. Industrial metals prices (the LMEX index) have lately underperformed U.S. lumber prices, pointing to renewed EM underperformance versus the S&P 500. Chart I-11EM RoE Is Below U.S. RoE Chart I-12EM Stocks To Underperform The S&P 500 Our view is that EM EPS growth will contract again within a cyclical investment horizon (over the next 12 months). While not all sectors' earnings are set to shrink, our view is that banks' profits will decline driven by credit growth deceleration and a rise in non-performing loans in a number of countries. Besides, commodities producers' EPS will drop anew if, as we expect, commodities prices head south again. Table I-1 illustrates the weights of each EM equity sector within total EM-listed companies' profits. Financials account for 24%, while energy and materials comprise 7.5% each of the aggregate EM equity market cap, respectively. In aggregate, these sectors make up 50% of EM EPS and 40% of the stock index. Table I-1EM Sectors: Equity Market Caps ##br##And EPS's Share Of Total EPS We remain positive on the technology/internet sector's growth outlook. While this sector's weight in terms of both market cap and EPS is very large, it is not yet sufficient to lift the overall EM equity index if other large sectors falter. In fact, technology/internet stocks have already rallied dramatically and are presently overbought. They will likely correct along with the rest of the universe. Nevertheless, we continue to recommend an overweight stance in technology stocks within the EM benchmark. Bottom Line: The direction of EM share prices in absolute terms and relative to the S&P 500 is determined by EPS trajectory, not equity valuations. We expect EM EPS to drop in absolute terms and to underperform U.S. EPS. Consistently, we maintain our long-standing strategy of being short EM / long the S&P 500. Taking Profits On Short Korean Auto Stocks Initiated on July 3, 2013, this recommendation has generated a 35% gain (Chart I-13, top panel). Notably, Korean auto stocks have failed to rally in the past 12 months. Furthermore, Korean auto stocks have underperformed the overall EM equity index by a whopping 22% since our recommendation (Chart I-13, bottom panel). For dedicated investors, we recommend lifting the allocation to this sector from underweight to neutral. In regard to allocation to the KOSPI overall, we maintain our overweight stance within an EM equity portfolio for now. Geopolitical volatility could create near-term disturbance but the primary trend in Korea's relative performance against the EM benchmark is up (Chart I-14). Within the KOSPI, we continue to overweight technology stocks, companies with exposure to DM growth and domestic industries. Meanwhile, companies with exposure to China's capital spending should be avoided. Chart I-13Take Profits On Short ##br##Korean Stocks Recommendation Chart I-14Korean Equities ##br##Relative To EM Overall Arthur Budaghyan, Senior Vice President Emerging Markets Strategy arthurb@bcaresearch.com 1 Please refer to the Emerging Markets Strategy Weekly Report, titled "EM Equity Valuations Revisited", dated March 29, 2017, link available on page 21. India: Beyond De-Monetization The growth-dampening effects from India's de-monetization program are beginning to dissipate. Both services and manufacturing PMIs are recovering (Chart II-1). As more cash is injected back into the system, consumer sector growth will improve. Beyond the recovery in consumption, however, capital spending - the key driver of productivity and non-inflationary growth - is still anemic because of structural reasons that began well before de-monetization was announced (Chart II-2). Chart II-1PMIs Are Recovering Chart II-2Capital Spending Is Depressed Public Banks: Is Deleveraging Advanced? The Indian authorities appear serious about restructuring their public banks, and the banking downturn cycle is likely approaching its final stages (Chart II-3). As and when India's public banks find themselves on more solid footing, industrial credit growth will pick up meaningfully and capital expenditures will follow. The previous credit boom that occurred in the infrastructure, mining, and materials sectors left a large number of failed and stalled projects. Chart II-4 shows the number of stalled projects remains stubbornly high and is not yet declining. These mal-investments have ended up as non-performing loans primarily on public banks' balance sheets: Non-performing loans (NPLs) currently amount to 11.8% and distressed assets (DRA) stand at around 4% of total loans on Indian public banks' balance sheets. This has forced public banks to curtail credit growth to the industrial sector (Chart II-5). Chart II-3Bank Credit Growth Is At All Time Low Chart II-4Plenty Of Projects Stalled Chart II-5Bank Credit Growth To Industries Is Contracting Public banks' NPLs and DRAs have spiked because the Reserve Bank of India (RBI) is forcing commercial banks to acknowledge and provision for these bad loans via the central bank's Asset Quality Review (AQR) program. This is eroding public banks' capital and constraining their ability to grow their loan book. However, the program is bullish for India's economy in the long run and stands in stark contrast to other EM countries where authorities are turning a blind eye on banks attempting to window dress their NPLs. India's government and the RBI are currently working with commercial banks and proposing measures to recover loans from defaulters. The government is also injecting capital into public banks. It has announced 100 billion INR in capital injections for this fiscal year and will inject more if needed. It is also forcing banks to raise more capital by ridding their books of non-core businesses. We have performed a scenario analysis on public banks (presented in Table II-1) to gauge their stock valuations. In all scenarios, we assume that DRAs will be constant at 5% of total loans, and also assume a 70% recovery rate on DRAs. We examine various scenarios for NPLs - the latter vary from 12-15% of total loans (the current actual NPL rate is 11.8%). Equity valuations are very sensitive to the recovery rate on NPLs. We stress test for recovery rates of 30%, 40%, 50% and 60%. If one assumes a 12% NPL ratio and a recovery rate of 60%, public bank stocks would be 30% cheap - their adjusted (post provisions, capital impairment, and recapitalization) price-to-book value (PBV) ratio will be 0.7, which is 30% less than its historical mean PBV ratio for public banks of 1.0. By contrast, assuming a 15% NPL ratio and a 30% recovery rate, banks' equity valuations would be 50% expensive - their adjusted (post provisions, capital impairment, and recapitalization) PBV ratio would be 1.5. Table II-1Under/Overvaluation (In %) Of Public Banks Stocks For A Given NPL Ratio And Recovery Ratio* Our bias is to believe that the NPL ratio is somewhere between 14-15% and the recovery rate near 40%. In such a case, public bank stocks would presently be 10-20% expensive. This does not offer a great buying opportunity at current levels, but suggests the downside is probably smaller than in other EM bank stocks. Overall, India is much more advanced in terms of recognizing and provisioning for NPLs as well as re-capitalization of its banking system than many other EM countries. Therefore, we believe India's deleveraging cycle is well advanced, especially when compared with other EM economies. Due to this and the fact that this economy is not exposed to China/commodities prices, we still recommend an overweight position in Indian equities within the EM universe. Inflation And Fixed-Income Strategy While headline inflation is easing due to temporarily lower food prices, core inflation remains sticky. The central government's overall and current expenditures - which often drive inflation - are rising rapidly (Chart II-6). Likewise, state governments' current expenditures are also booming and state development loans - borrowing by state governments - are growing at an extremely fast pace. In addition, in June 2016, the Indian central government announced it will raise salaries, allowances and pensions of government employees by 23%. The central government also raised the minimum wage for non-agriculture laborers by 42% in August 2016, and the Ministry of Labor followed by doubling the minimum wage of agricultural workers in March 2017. All of this will entail accumulating inflationary pressures, even if oil and food prices remain tame. The central bank hiked the reverse repo rate last week to absorb excess liquidity from the banking system. Even though it cited service sector inflation as a concern, we believe it will lag behind accumulating inflationary pressures. This warrants a steeper yield curve. Investors should continue to bet on yield curve steepening by paying 10-year swaps / receiving 1-year swap rates (Chart II-7). Chart II-6Government Expenditures Are Rising Chart II-7Bet On A Yield Curve Steepening Rising inflationary pressures and higher bond yields could weigh on Indian stocks in absolute terms, but will likely not preclude them outperforming the EM equity benchmark. Ayman Kawtharani, Associate Editor aymank@bcaresearch.com Stay Long Czech Koruna Versus Euro On September 28th 2016, we recommended going long CZK / short EUR on the back of expectations that the Czech National Bank (CNB) would abandon its currency peg. Last week, the CNB has floated the koruna. We expect this currency to appreciate versus the euro further and suggest keeping this position. Inflationary pressures in the Czech economy are genuine and heightening. The 1.5% appreciation in the koruna versus the euro since last week will not tighten monetary conditions enough to cap inflation. As such, we expect the CNB to eventually start raising interest rates, leading to further koruna appreciation versus the euro (Chart III-1). The output gap is turning positive, which historically has led to a rise in core inflation (Chart III-2). Chart III-1The Czech Koruna Has More Catch-Up To Do Chart III-2Output Gap And Inflation The labor market is tight - the Czech unemployment rate is the lowest in Europe. Both wages and until labor costs growth are robust and trimmed-mean consumer price inflation is accelerating (Chart III-3). The CNB's foreign exchange reserve accumulation has generated an overflow of liquidity in the Czech financial/banking system (Chart III-4). Chart III-3Inflationary Pressures Are Broad-Based Chart III-4Money And Credit Growth Are Very Strong The rapid expansion of liquidity has led to strong credit growth (Chart III-4, bottom panel), and a rapid appreciation in real estate prices. This warrants higher interest rates to prevent the formation of a bubble. Furthermore, the Czech economy has been benefiting from the recovery in European economic growth in general and manufacturing in particular. Tourist arrivals have also been robust. Notably, the nation's current account surplus stands at 1% of GDP. Chart III-5The Koruna Is Mildly Cheap With regards to currency valuations, the koruna is silently cheap and as such has further room to appreciate (Chart III-5). Either the koruna will gradually appreciate over the next few months, tightening monetary conditions to an extent where the CNB does not need to hike interest rates, or the CNB is eventually forced to hike rates considerably. The latter will push up the value of the Czech currency. We suspect that the CNB is still intervening in the forex market in order to prevent a dramatic appreciation in the koruna. The central bank has stated in its last press conference that it stands ready to intervene to mitigate exchange rate fluctuations if needed. However, in an economy with open capital account, the central bank cannot target the exchange rate and interest rates simultaneously. If the CNB desires to cap inflation, it has to hike interest rates or allow the currency to appreciate considerably. If it chooses the former, the koruna will still rally dramatically. Bottom Line: Stay long the Czech koruna versus the euro. Stephan Gabillard, Senior Analyst stephang@bcaresearch.com Equity Recommendations Fixed-Income, Credit And Currency Recommendations
Highlights Animal spirits have soared, according to soft data from surveys. But 6-month credit impulses have slumped in the euro area, U.S. and China, according to hard data from the ECB, Federal Reserve and PBOC. The negative 6-month credit impulse - rather than soaring animal spirits - is more important for the cyclical direction of the global economy. A growth-pause would blindside financial markets. Lean against any rise in high-quality bond yields and equity prices until the conflict between soaring animal spirits and slumping credit impulses is resolved. Feature Animal spirits have soared since the surprise election of President Trump on November 8. For many investors, the heightened animal spirits - shown in surging sentiment and survey data (Chart I-2) - are a strong signal that the global economy is about to accelerate. Unfortunately, these investors could end up very disappointed. Chart of the Week6-Month Credit Impulses Have Slumped Chart I-2Animal Spirits Have Soared... The problem is that the hard data on bank credit are giving the exact opposite signal. Over the past few months, global credit flows have slumped (Chart of the Week, Chart I-3 and Chart I-4). Chart I-3...But Credit Impulses Have Slumped Chart I-4The Global 6-Month Credit Impulse Has Turned Negative Despite Heightened Animal Spirits The ECB's latest Monetary Developments in the Euro Area shows that the euro area 6-month credit flow has shrunk by €26 billion. The most recent 6-month credit flow fell to €321 billion from €347 billion in the previous period. The U.S. Federal Reserve's latest weekly H8 release paints an even starker picture. The U.S. 6-month credit flow has shrunk by $271 billion, equivalent to 3% of U.S. GDP (at an annualised rate). The most recent 6-month credit flow plunged to just $152 billion from $423 billion in the previous period. For completeness, look at the world's other major economy, China. Given the lower credibility of official bank credit data in China we prefer to focus on the broad money supply numbers. The People's Bank of China does not seasonally adjust this data, but it is straightforward to do ourselves using standard seasonal adjustment functions. The seasonally-adjusted data shows that the most recent 6-month flow, at 8.1 trillion yuan, was slightly higher than the preceding 7.7 trillion yuan. Nevertheless, the resulting marginally positive China 6-month impulse is sharply down from previous months. Why Optimism Is Up, But Borrowing Is Down Let's explain why sentiment data and credit flows have headed in polar opposite directions since the shock electoral success of Donald Trump. Imagine that firms (or households) are willing to borrow $1 billion for investment projects at a long-term borrowing cost of 1.5%. Then, an unexpected event causes animal spirits to surge. Suddenly, firms will become more optimistic about the expected profits from the investment projects. At this higher net1 profitability, firms might be willing to borrow and invest more than $1 billion, let's say $1.5 billion. In which case, the sentiment data will be higher and so will the credit flow, resulting in a credit impulse of +$0.5 billion. Chart I-5A Sharp Rise In Borrowing Costs Has##br## Countered Heightened Animal Spirits Now imagine that in response to this improved economic outlook, the financial markets expect the central bank to hike interest rates quicker and further. So the markets push up the bond yield to 2.0%. For firms, this higher cost of long-term borrowing might now exactly neutralise the expected profit boost from the investment projects. At this unchanged net profitability, firms will continue to borrow and invest $1 billion. In which case, the sentiment data will be higher but the credit flow will be unchanged, resulting in a credit impulse of zero. Finally imagine that in response to the improved economic outlook, the financial markets get carried away. They push up the bond yield to 2.5%. Now, the much higher cost of long-term borrowing will more than neutralise the expected profit boost from the investment projects. At a sharply lower net profitability, firms will borrow and invest less than $1 billion, let's say $0.5 billion. In which case, the sentiment data will be higher but the credit flow will fall, resulting in a credit impulse of -$0.5 billion. Note that in all three cases, animal spirits are up sharply. For credit flows, these heightened animal spirits in isolation are a tailwind. But any associated rise in the cost of long-term borrowing is a headwind. It follows that the net impact on credit flows depends on the relative strengths of the tailwind from heightened animal spirits and the headwind from higher long-term borrowing costs. Today, we would suggest that for global credit flows, the tailwind from heightened animal spirits is weaker than the headwind from the sharpest rise in bond yields in a decade (Chart I-5). The result is a negative 6-month global credit impulse. And it is this negative 6-month credit impulse - rather than heightened animal spirits per se - that is more important for the cyclical direction of the global economy. The History Of "Animal Spirits" In the early nineteenth century, the 'British Currency School', led by David Ricardo, postulated that expansions and contractions of bank credit and the broad money supply are the main cause of the economic cycle. We are very strong advocates of Ricardo's Currency School thesis. In opposition to the Currency School, the 'British Banking School' believed that expansions and contractions of bank credit are merely the passive effects of the economic cycle. The true cause of the economic cycle is fluctuations in business speculation and expectations of profit, which ultimately come from psychological mood swings. A century later in 1936, John Maynard Keynes wrote The General Theory of Employment, Interest and Money. In it, Keynes reiterated the Banking School's psychological mood swing explanation of the cycle. To describe these mood swings, he came up with the now very familiar phrase "animal spirits". Keynes blamed the Great Depression on the collapse of these animal spirits, and a consequent collapse in investment and consumption. But Keynes was only partly right. Animal spirits in isolation do not cause the cycle. As discussed in the previous section, borrowing costs lean against mood swings in both directions. Optimism results in higher borrowing costs, countering the desire to borrow. Pessimism results in lower borrowing costs, countering the reluctance to borrow. And it is the net impact on credit flows that drives the cycle. The specific problem in the Depression was a slump in asset prices. This depressed the value of households' and firms' balance sheet assets to below the value of the liabilities - an extreme event which economist Richard Koo calls a 'balance sheet recession'. Crucially, in a balance sheet recession, no amount of borrowing cost reduction can counter the reluctance to borrow, because households' and firms' single-minded objective is to regain solvency. Hence for us, the Ricardian bank credit cycle - rather than Keynesian animal spirits - is the better explanation for the Great Depression, as well as for Japan's post-1990 bust and for the 2008-09 Great Recession. The Ricardian bank credit cycle also explains the more common and garden variety of economic fluctuations (Box I-1). Readers should review our February 2 report Slowdown: How And When? for the compelling theoretical and empirical evidence. Right now, the important message is that the global bank credit cycle is weakening. Box I-1The Mathematics Of Mini-Cycles Credit Slumps While Animal Spirits Soar: What Should Investors Do? Many commentators and investors look at sentiment and survey data and note that animal spirits have soared. On this basis, they expect global growth to accelerate. But to reiterate, animal spirits in isolation do not cause the economic cycle. Heightened animal spirits do generate a tailwind for credit creation, but any associated rise in the cost of long-term borrowing generates a headwind (Chart I-6). And it is the net effect on the 6-month credit impulse - rather than heightened animal spirits per se - that determines the cyclical direction of the economy (Chart I-7). Chart I-6Higher Borrowing Costs Weaken Credit Flows... Chart I-7...And Weaker Credit Flows Slow The Economy Today, the hard data on bank credit in the euro area, the U.S. and China show that 6-month impulses have slumped. The risk is that this could generate an unwelcome surprise. Rather than accelerate in the coming months, global growth may level off or even decelerate. Even if it were a short-lived pause, major financial markets - including all of those in Europe - would be blindsided. The risk-on mode so far in 2017 would turn out to be incongruous. At the very least, until the conflict between soaring animal spirits and weakening credit impulses is resolved, we will lean against any rise in high-quality bond yields and equity prices. Dhaval Joshi, Senior Vice President European Investment Strategy dhaval@bcaresearch.com 1 Profitability net of borrowing cost. Fractal Trading Model* Excessive optimism in global equity prices reinforces our near-term caution towards stocks. We are expressing this through a short position in the AEX. 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-8 * 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 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. Fractal Trading Model Recommendations Equities Bond & Interest Rates Currency & Other Positions Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch##br## - Interest Rate Expectations Chart II-6Indicators To Watch##br## - Interest Rate Expectations Chart II-7Indicators To Watch##br## - Interest Rate Expectations Chart II-8Indicators To Watch##br## - Interest Rate Expectations
Feature Dear Client, I am travelling this week so this report is a little different. It is the full transcript and slides of a client presentation I recently gave. The presentation summarises several years of in-house work on applying the Fractal Market Hypothesis to real-life investing. Dhaval Joshi The Efficient Market Hypothesis Is Wrong Good morning In the next 30 minutes or so I want to challenge the way you think about financial markets. You see, at school we are taught the mainstream models of financial markets: Modern Portfolio Theory, the Capital Asset Pricing Model and the Efficient Market Hypothesis. And we are led to believe that these models describe the real world. But I'm sad to say that these mainstream models are deeply flawed. They simply don't describe financial markets as they behave in the real world. And in your heart of hearts, you know it. Take the supposed bedrock of financial market theory, the Efficient Market Hypothesis, and look at the assumptions it makes about markets (Slide 2). Slide 2 One. That economic and market returns follow a Normal - which is to say a standard bell-curve - distribution. Really? Everybody knows that returns exhibit 'fat-tails' in which extreme events happen much more frequently than the bell-curve would suggest. By the way, this also means that a statement such as "the financial crisis was a five standard deviation - five-sigma - event with odds of 3 million to 1" is also complete nonsense. Accounting for the true fat-tails, the likelihood of extreme events is much higher than the flawed bell-curve models would suggest, as we should all now be painfully aware! Two. That the distribution is stationary - its mean doesn't change through time. Again, wrong. We know that economies and markets can and do experience regular regime-shifts or phase-shifts. Three. That markets have no memory - they exhibit no trends. Now this is getting silly! We all know that markets exhibit very strong trends. Four. That markets do not produce repeating patterns at any scale. Untrue. And five. That markets are continuously stable at all scales. Wrong again. I'm sure you'll all agree that none of these assumptions that underlie the Efficient Market Hypothesis describe the markets that we all know and work with. The good news is that there is a model that does describe the financial markets as they behave in the real world (Slide 3). It correctly assumes the return distribution is non-Normal, the mean can change over time, markets can trend, produce repeating patterns, and can generate instabilities at any scale. Slide 3 The model is called the Fractal Market Hypothesis, first proposed by Edgar Peters in 1991. Now I can see some looks of fear at the mention of this intimidating word 'fractal'. But hang in there, there really is nothing to fear. A fractal is just a pattern that repeats over and over at different scales. You come across fractals all the time, perhaps without realizing it. A cloud is a fractal - because a small part of a cloud is just a scaled-down version of the whole cloud. And for those of you who enjoy your vegetables, you will notice that cauliflowers and broccoli are fractals because the florets are just miniature versions of the whole vegetable. But perhaps the most familiar example is a tree (Slide 4). You can clearly see that a tree is just a simple pattern repeating over and over at different scales. Indeed, on this next slide (Slide 5), you see images of the twigs, branches, and trunk structure - and you could not tell them apart. Except that the twigs are on a scale of millimeters, the branches are on a scale of centimeters, and the trunk is on a scale of meters. Slide 4 Slide 5 Let's switch back to financial markets. On this next slide (Slide 6), you see three images of ten successive points on the S&P500. Again, the three images look very similar. In fact, they're very different. The first is on a scale of weeks, the second on a scale of months, and the third on a scale of years. But just like the twigs, branches and trunk, you could not tell them apart without seeing the scale. In other words, financial markets are scale-invariant. They are fractals. Slide 6 But why? And so what? To answer these questions we must now introduce the four basic assumptions of the Fractal Market Hypothesis. One. Investors are not homogeneous. The market is composed of many participants with a large number of different time horizons (Slide 7) - ranging from the milliseconds or seconds for a high frequency trader, through the days or weeks for a hedge fund to the years or decades for a pension fund. Two. These different time horizons interpret the same fundamental information differently (Slide 8). For example, a short-term technical trader interprets a rising price as a buy signal. Whereas a long-term fundamental value investor interprets the same information as a sell signal. Slide 7 Slide 8 Three. The market price reflects the combination of the short-term technical trader's interpretation of the information and the long-term value investor's interpretation of the same information (Slide 9). Crucially, this means the market is not efficient unless all time horizons are active in setting the price. Four. The stability of the market at a given price depends on plentiful liquidity - an adequate balancing of supply and demand at that price (Slide 10). When many different time horizons are active, the market is efficient and liquidity is plentiful. This is because different investors will disagree on the interpretation of the same information, and will trade with each other in volume without moving the price. Slide 9 Slide 10 However, if one time horizon becomes dominant, the market becomes inefficient and liquidity will evaporate. As investors become a 'groupthink herd', the healthy disagreement that is needed to create liquidity disappears. And the market loses its stability. So to answer the question 'why' markets are fractals, it is clear that the short-term investors generate the short-term patterns while long-term investors generate the long-term patterns. And to answer the question 'so what', it is clear that if the fractal structure breaks down, it is a warning sign that liquidity is evaporating and the market is losing its stability. Next we must discuss how we can measure the market's fractal structure, and for this I'm going to digress a little and ask you a famous question. How long is Britain's coastline? This is the question that the grandfather of fractals, Benoit Mandelbrot, first asked in 1967. Actually, it's a trick question. The answer is that there is no answer! You see a coastline is also a fractal. And the more detail you capture and measure, the longer it becomes (Slide 11). The point is that with a fractal structure you cannot measure its length or size. But the good news is that you can measure its extent of 'fractal-ness' using something called a fractal dimension. In fact the next slide (Slide 12) shows how Mandelbrot first defined the fractal dimension of Britain's coastline. Slide 11 Slide 12 Then a couple of years ago we thought why don't we extend this concept to a financial market? After all, a price chart is similar to a coastline, except that distance is replaced with time. In fact, the maths is a little more complicated, but this is how we ended up defining the fractal dimension of a financial market (Slide 13). Bear in mind that you won't find this or any of the following analysis in any textbook because it is our own unique work. Rest assured, you don't need the maths to understand the concept intuitively. Think of it like this (Slide 14). A market that is not trending tends to sweep out 2-dimensional space. So its fractal dimension might be close to 2. But a market that is trending gets less and less fractal and closer and closer to a perfect 1-dimensional line. So its fractal dimension drops close to 1. Slide 13 Slide 14 And now we get to our findings, which are both remarkable and uplifting. When we applied our unique definition of fractal dimension to different financial markets in different historical timeframes, we discovered that the tipping point of instability turned out to be exactly the same across different historical eras, geographies and asset classes. We had come across a universal property of financial markets, irrespective of generation, culture or investment. Financial markets tended to reverse their near-term trend when the fractal structure between the 65-day investment horizon and the 1-day investment horizon disappeared. Specifically, when the 65-day fractal dimension dropped to 1.25. So we called this the "Universal Constant Of Finance". You can see that this universal constant applied to the top and initial bottom of the market during the 1929 Wall Street Crash (Slide 15), and to the top and bottom of the 1987 Crash (Slide 16). It also perfectly picked the tops and bottoms of the 1990 Nikkei Crash (Slide 17), and the 1993 Bond Market Crash (Slide 18). Slide 15 Slide 16 Slide 17 Slide 18 Some financial markets also tended to reverse long-term trends when the fractal structure between the 60-month investment horizon and the 1-month investment horizon disappeared. Specifically, when the 60-month fractal dimension dropped to 1.25. You can see here (Slide 19) how this has perfectly picked many of the structural turning points in the dollar. And when we see the rare star-alignment of a long-term signal coinciding with a near-term signal, it can predict a very strong reversal in a short space of time. This is precisely what we saw ahead of crude oil's sharp bounce in early 2016 (Slide 20 and Slide 21). So to conclude (Slide 22): Slide 19 Slide 20 Slide 21 Slide 22 Financial markets are efficient only when all investment horizons are present and active in setting the price. In other words, when the market has a rich fractal structure. When investment horizons converge to a groupthink herd, the fractal structure breaks down, and the fractal dimension nears its lower bound. This is a warning sign of an impending liquidity-triggered trend reversal, either short-term or long-term. I am now happy to take any questions. Dhaval Joshi, Senior Vice President European Investment Strategy dhaval@bcaresearch.com
Highlights There is little evidence of a major "credit bubble" in China. Rising debt is largely the consequence of the country's high saving rate. This has mixed implications for global bonds: On the one hand, an exaggerated fear of a hard landing in China has kept global bond yields below where they would otherwise be; on the other hand, high levels of Chinese savings will continue to weigh on real long-term yields. The real trade-weighted RMB will depreciate by a further 3%-to-5% over the next 12 months, with the bulk of the decline coming against the U.S. dollar. Chinese shares are still attractive at current valuation levels. Go long the H-share market versus the MSCI EM index. We are booking a loss of 10% on our NASDAQ hedge. Feature Indefatigable The global economy remains in recovery mode. As we discussed last week, leading indicators point to strong global growth and accelerating earnings over the next six months.1 This justifies a cyclically overweight tilt towards global equities. Still, we worry that equity markets have gotten ahead of themselves. We thought that the backup in yields late last year, along with Trump's protectionist rhetoric, would cause stocks to correct to the downside, at least temporarily. Instead, they ripped higher, causing our short NASDAQ hedge trade to briefly go through its 10% stop loss on Wednesday. Our technical indicators continue to point to heightened risks of a correction. Whether such a correction proves to be the proverbial "buying opportunity" - our baseline view - or morphs into something more ominous will depend on the durability of the economic backdrop. We discussed some of the risks around Europe and the U.S. last week. This week we turn to China. The China Question Recent Chinese economic data have been fairly solid and our China analysts expect that growth momentum will be sustained over the coming months.2 Nevertheless, there are plenty of clouds on the horizon. Direct fiscal spending has slowed sharply over the past 12 months. In addition, a crackdown on property speculation last year has led to a deceleration in home price inflation, which could adversely affect household spending and construction later this year. Then, of course, there is all that debt. There is no shortage of commentators who argue that China is experiencing a full-blown credit bubble. Others contend that rising debt in China is largely a manifestation of a chronic excess of domestic savings. Knowing which side is correct is critical for investors. If China is in the midst of a massive credit bubble, then it is natural to fear that this bubble will burst fairly soon. This could prove to be devastating to global financial markets. In contrast, if rising debt in China mainly reflects an overabundance of savings, then it is possible that debt will continue rising until those savings dissipate - something that may not happen for many years. We won't beat around the bush. Our view is that rising debt in China has largely been the result of excess savings. This implies that a financial crisis in China is unlikely anytime soon. That does not mean that China will cease being a source of occasional investor angst. But if another major global recession is coming, it will not be because of China. The Debt-Savings Tango Endless ink has been spilled on the question of whether savings create bank credit or bank credit creates savings. In reality, the answer is "both": Just like income can create spending and spending can create income, savings can create debt and vice versa. If an economy is operating at less than full employment, the decision by banks to extend new credit is likely to boost aggregate demand, leading to more hiring. This will raise household disposable income and potentially lift aggregate savings.3 On the flipside, if households decide to save a bit more, this will push down real interest rates. That, in turn, could entice firms to increase how much they borrow and invest. Debt creates savings, and savings create debt; it's a two-way street. Admittedly, thinking through the specific forces underlying the relationship between debt and savings is one of those things that can make your head spin. Thus, it is worthwhile to go through a few simple examples in order to elucidate the principles at work. With this knowledge in hand, we will be able to debunk many of the fallacies that investors routinely succumb to. Cuckoo For Coconuts: How To Think About Debt And Savings Imagine a small island economy consisting of 100 people, each of whom toils away producing 100 coconuts every year, resulting in annual GDP of 10,000 coconuts. Consider the following five examples, summarized in Table 1: Table 1Cuckoo For Coconuts: Debt Creates Savings, Savings Create Debt Example #1: Each person consumes 100 coconuts. As a result, a total of 10,000 coconuts are consumed. Total savings is zero, as is total investment. No debt is created. Example #2: Each person consumes only 75 coconuts, selling the other 25 coconuts to a nearby plantation. The plantation buys these coconuts with the help of a bank loan and plants them, resulting in 2,500 new coconut trees. Total consumption falls to 7,500. Savings and investment equals 2,500 coconuts. 2,500 coconuts worth of bank loans are created. Notice that higher savings have led to more debt. Example #3: Same as Example 2, but now instead of selling the excess coconuts to a nearby plantation, they are exported abroad. Savings equal 2,500 coconuts, investment is zero, and the current account surplus is 2,500. The island accumulates 2,500 coconuts worth of foreign assets. The lesson here is that if a country can export some of its excess savings abroad, debt may not need to rise by as much as if the savings had to be intermediated by the domestic financial system. Note also that this example reveals the famous economic identity: S-I=CA. Example #4: Each person consumes 125 coconuts, made possible by importing 25 coconuts per person. Consumption now equals 12,500 coconuts. Savings equal -2,500 coconuts, investment is zero, and the current account deficit is 2,500. The island takes on 2,500 coconuts worth of external debt. Example #5: Half the island's residents consume 75 coconuts each, while the other half consumes 125 coconuts each. Those who consume 75 coconuts sell their surplus nuts on the open market, placing the proceeds in a bank. The bank lends out these savings to the other half of the population. Net savings and investment is zero. However, 1,250 coconuts worth of new bank loans are created. Debt Puzzles The key idea stemming from these examples is that debt is often formed when there is a persistent divergence between spending and income.4 This is true for the economy as a whole, as well as for its individual constituents (households, firms, and the government). Understanding this point helps resolve a number of seeming puzzles. For instance, it is sometimes alleged that China's debt buildup cannot be the result of the country's high saving rate because U.S. debt also rose rapidly in the years leading up to the financial crisis, an era during which the U.S. national saving rate was very low. Our simple examples demonstrate why this is a misleading argument. Examples 2, 4, and 5 show that debt levels will rise regardless of whether income exceeds spending or spending exceeds income. It is the absolute difference between the two that matters, not whether the residual is positive or negative. In Example 2, which is applicable to China today, households spend less than they earn. The resulting savings are intermediated by the financial system and transformed into investment, creating new debt along the way. In Example 4, which is applicable to the U.S. before the financial crisis, households spend more than they earn, leading them to take on new debt in order to finance imports. The increase in debt may get amplified, as in Example 5, if some households save while others dissave. As discussed in Box 1, Example 5 also helps explain why inequality and debt levels tend to rise and fall together over time. The Future Of Chinese Household Savings Chinese household savings now stand at nearly 40% of disposable income, notably higher than in other major developed and emerging economies. The increase in China's household savings, along with a widening gap between rich and poor, have been important drivers of faster debt growth (Chart 1). As time goes by, China's household saving rate will begin to decline due to the aging of its population, the expansion of household credit, and the emergence of a stronger "consumer culture." Yet, that shift is likely to be a gradual one. Progress in building out a social safety net has been painfully slow. This has forced households to maintain high levels of precautionary savings. The share of China's population in its 'prime savings years' (between the ages of 30-and-59) will also continue to increase over the next 15 years, which should support an elevated saving rate (Chart 2). Chart 1China: Higher Saving Rate And ##br##Inequality Went Hand In Hand With Debt Growth Chart 2China: Share Of Population In Its High ##br##Saving Years Has Not Yet Peaked In addition, sky-high property prices have forced young people to save a large fraction of their incomes in order to have any hope of owning a home. This is particularly true for men. Brides are in short supply in China. The saving rate among single-child households with one son is about four percentage points higher in rural areas and two percentage points higher in urban areas, compared to single-child households with one daughter. One academic study concluded that about half of the increase in China's household saving rate since the late-1970s could be attributed to this factor.5 Unfortunately, this problem is not going to go away anytime soon. The ratio of men between the ages of 25-and-39 and women between the ages of 20-and-34 - a proxy for gender imbalances in the marriage market - will surge from 1.06 at present to 1.35 by the middle of the next decade (Chart 3). What do countries with surplus savings and surplus men tend to do? Historically, the answer is that they have sent them off to fight. China's military spending has grown by leaps and bounds over the past decade (Chart 4). This trend is bound to continue, making East Asia an increasingly likely setting for future military conflicts.6 Chart 3A Shortage Of Chinese Brides Chart 4China: A Lot Of Dry Powder Understanding Chinese Corporate Debt Dynamics Chart 5China: State-Owned Companies Are ##br##Not The Only Ones With Access To Cheap Financing Many companies around the world rely heavily on retained earnings and equity sales to finance new investment projects. When this happens, investment can take place without the need for the creation of new debt. China has its fair share of consistently profitable companies that fund capital expenditures using internally generated funds, while tapping the equity markets as necessary to finance larger projects. However, the country is also awash with companies that are in constant need of debt financing. Perhaps not surprisingly, the former tend to be private firms while the latter are often state-owned enterprises (SOEs). Pundits like to assert that the secret to boosting growth in China is to wean these money-losing public companies off cheap credit, forcing them to cut back on production and capital spending. This will allow scarce economic resources to migrate to better-managed firms that will use them more wisely. But is this really a sensible assumption? What exactly is the evidence that China's well-run private companies have been starved of credit because most of it is flowing to money-losing companies? The data does not fit this "crowding out" story at all (Chart 5). The Japan Analogy A more sensible narrative is that the Chinese government has been prodding state-owned banks into lending money to state-owned companies and local governments in order to support aggregate demand and keep unemployment from rising. The experience of Japan is instructive here. Starting in the early 1990s, Japan entered an extended era where the private sector was trying to spend less than it earned (Chart 6). In order to keep unemployment from rising, the Japanese government was forced to try to export these excess savings abroad via a current account surplus or, failing that, absorb them with dissavings from the public sector. While Japan was able to lift its current account surplus from 1.4% of GDP in 1990 to 3% of GDP in 1998, this was not enough to fully offset the surge in desired private-sector savings. This necessitated the government to run large budget deficits. The same sort of fiscal trap now stalks China. Up until the Great Recession, China was able to export much of its excess savings. The current account surplus hit a record high of nearly 10% of GDP in 2007. In effect, China was doing what the islanders in Example 3 were able to do. The subsequent appreciation of the RMB undermined this strategy, forcing the government to take steps to boost domestic demand. It is no surprise that China's debt stock began to grow rapidly just as its current account surplus started to dwindle (Chart 7). Chart 6Japan Relied On Fiscal Largess And Current Account Surpluses To Offset The Rise In Private-Sector Savings Chart 7China: Debt Increased When Current ##br##Account Surplus Began Its Descent Keep in mind that fiscal policy in China entails much more than adjustments to government spending and taxes. Central government spending accounts for a fairly small share of GDP. The vast majority of fiscal stimulus is done via the banking system. This makes Chinese fiscal policy nearly indistinguishable from credit policy. Chart 8Chinese Private Firms: Liabilities-To-Assets Trending##br## Lower For A Decade From this perspective, China's so-called "debt mountain" is not much different from Japan's debt mountain once we acknowledge that the bulk of China's corporate debt in China is, in fact, quasi-fiscal debt. As evidence, note that in sharp contrast to the SOE sector, the ratio of liabilities-to-assets among private Chinese companies has actually been trending lower over the past decade (Chart 8). Yes, many of the investment projects undertaken by SOEs and local governments are of questionable economic merit. But that's beside the point. China's money-losing SOEs are the equivalent of Japan's fabled "bridges to nowhere." From the Chinese government's point of view, an SOE that is producing something is still preferable to one that is producing nothing. The ever-rising debt burden that these state-owned firms must carry to cover operating losses and finance new investment is just the price the government must pay to keep the economy afloat. Little Evidence Of A Genuine Credit Bubble Genuine credit bubbles tend to happen during periods of euphoria. U.S., Spanish, and Irish banks all traded at lofty multiples to book value on the eve of the financial crisis, having massively outperformed their respective indices in the preceding years. That's obviously not the case for Chinese banks today, which remain one of the most loathed sectors of the global equity market (Chart 9). The U.S., Spanish, and Irish housing booms also occurred alongside ballooning current account deficits, something that doesn't apply to China (Chart 10). One can debate whether China is in the midst of a property bubble, but even if it is, it looks a lot more like the one Hong Kong experienced in the late 1990s. When that bubble burst, property prices plummeted by 70%. Yet, Hong Kong banks were barely affected (Chart 11). Chart 9Chinese Banks: Unloved And Unwanted Chart 10Recent Credit Bubbles Developed ##br##Amid Widening Current Account Deficits Chart 11Hong Kong Is The Correct Analogy There is a lot of debt in China. However, most of it has not been centered on the property market (Chart 12). Rather, just as in Japan, debt has served a fiscal purpose - it has been used to absorb the excess savings of the private sector, so as to keep unemployment from rising. Chart 13 shows that national saving rates and debt-to-GDP ratios are positively correlated across emerging economies. China sits close to the trend line, suggesting that its debt stock is roughly what you would expect it to be. Chart 12Chinese Debt: Not Predominately ##br##Tied To The Property Market Chart 13Positive Correlation Between National Savings And Indebtedness Investment Conclusions Where does this leave investors? For global bonds, the implications of our analysis are somewhat mixed. On the one hand, the high probability that the Chinese government can maintain the status quo of continued credit expansion for the foreseeable future means that a hard landing for the economy - and the associated drop in safe-haven developed economy government bond yields that this would trigger - is unlikely to occur. On the other hand, high levels of Chinese savings will continue to fuel the global savings glut, keeping real long-term bond yields lower than they would otherwise be. On balance, investors should maintain a modest underweight allocation toward global bonds. Our analysis does not warrant either a very bearish or very bullish stance towards the RMB. Granted, a banking crisis could prompt Chinese savers to look for ways to move more of their money overseas, leading to further capital flight and a tumbling currency. As noted, however, such an outcome is not in the cards. On the flipside, a chronic shortfall of domestic demand will keep the pressure on the government to try to export excess production abroad by running a larger current account surplus. As we foretold in our March 2015 report "A Weaker RMB Ahead," this will push the authorities to weaken the currency.7 We expect the real trade-weighted RMB to depreciate by a further 3%-to-5% over the next 12 months, with the bulk of the decline coming against the U.S. dollar. If China averts a debt crisis, that's good news for global equities. In the developed market universe, Europe and Japan stand to benefit the most, given the cyclical bent of their stock markets. We are overweight both regions (currency hedged). Despite a weak start to the year, both markets have outperformed the U.S. in local-currency terms since bottoming last summer, a trend we expect will resume over the coming months (Chart 14). What about Chinese shares specifically? Clearly, there are many risks facing the Chinese economy that transcend debt worries, a possible trade war with the U.S. being the prominent example. Yet, considering that Chinese stocks trade at fairly cheap valuation levels, our sense is that these risks have been more than fully priced in by investors. With this in mind, we are going long Chinese H-shares relative to the overall EM basket.8 Chart 15 shows that H-shares now trade at a substantial discount to the EM index. Chart 14Euro Area And Japan: Rebound Will Continue Chart 15Chinese Investable Stocks Are Cheap Finally, one housekeeping note: Since we already have exposure to the H-share market via our strategic recommendation to be long China/Europe/Japan versus the U.S., we are closing that trade and opening a new one that is simply long Europe and Japan versus the U.S. Peter Berezin, Senior Vice President Global Investment Strategy peterb@bcaresearch.com Box 1: Debt And Inequality Chart 16U.S.: Positive Correlation Between ##br##Income Inequality And Debt-To-GDP Income inequality and the ratio of private debt-to-GDP have been positively correlated in the U.S. over the past century (Chart 16). The existence of this relationship is not merely due to a third factor: economic growth. Growth was strong in the 1920 and 1980s/90s - two periods of rapidly increasingly inequality - but it was also strong during the 1960s, a decade when inequality was falling. Our analysis helps shed light on this relationship. Return to Example 5, but this time assume that each resident consumes 100 coconuts, with half the population producing 75 coconuts and the other half producing 125 coconuts. 10,000 coconuts are still produced and consumed in aggregate, resulting in no net savings. But because half the population is borrowing money to acquire coconuts from the other half, debt levels still rise. Higher inequality leads to more debt. To be sure, the correlation between inequality and debt runs in both directions. Rising debt has historically led to an expansion of the financial sector. This has helped enrich Wall Street elites. In this way, rising debt can exacerbate inequality. On the flipside, rising income inequality entails a shift of income from poorer households - with high marginal propensities to consume - to richer ones - who generally save a large fraction of their income. This tends to reduce aggregate demand. Lower aggregate demand, in turn, leads to lower real rates, making it easier for poorer households to load up on debt and live beyond their means. 1 Please see Global Investment Strategy Weekly Report, "The Reflation Trade Rumbles On," dated February 17, 2017, available at gis.bcaresearch.com. 2 Please see China Investment Strategy, "Be Aware Of China's Fiscal Tightening," dated February 16, 2017, available at cis.bcaresearch.com. 3 A few technical caveats are in order. Think of a simple closed-economy "Keynesian" model where aggregate demand determines income and where savings (S), by definition, are equal to investment (I). In this model, investment is usually treated as exogenous. Thus, if increased bank credit is used to finance new investment projects, this will also translate into higher savings (i.e., if "I" goes up, "S" must also rise). In contrast, if the credit ends up flowing into consumption, savings will remain unchanged. More plausibly, one can imagine that investment is subject to an "accelerator effect," so that increased aggregate demand prompts firms to increase capital spending. In that case, even if the credit flows into consumption, investment will still rise - and since savings is equal to investment, this means that savings will also go up. Intuitively, this happens because the increase in income derived from higher employment more than offsets the increase in consumption. This leads to higher aggregate savings. 4 The word "persistent" is important here. To see why, suppose that in Example 5, the people who consumed 125 coconuts each had previously been thrifty, which had allowed them to build up large bank deposits. Then they could finance their additional spending by running down their accumulated savings, rather than taking on new debt. Likewise, if those who consumed 75 coconuts had previously lived beyond their means, then instead of adding to their deposits, they would be paying back existing debt. The net result would be less debt, not more. 5 Shang-Jin Wei and Xiao Zhang, "The Competitive Saving Motive: Evidence From Rising Sex Ratios And Savings Rates In China," Journal of Political Economy, Vol. 119, No. 3, 2011. 6 Please see Geopolitical Strategy Special Report, "Sino-American Conflict: More Likely Than You Think, Part II," dated November 6, 2015, available at gps.bcaresearch.com. 7 Please see Global Investment Strategy Weekly Report, "A Weaker RMB Ahead," dated March 6, 2015, available at gis.bcaresearch.com. 8 The exact trade is to be long China H-Shares versus the MSCI Emerging Market index, currency unhedged. The corresponding ETFs for this trade are the Hang Seng Investment Index Funds Series: H-Share Index ETF (2828 HK), and the iShares MSCI Emerging Markets ETF (EEM US). The Hang Seng China Enterprise index comprises of China H-Shares (Chinese stocks available to international investors) currently trading on the Hong Kong Stock Exchange. Strategy & Market Trends Tactical Trades Strategic Recommendations Closed Trades
