Money/Credit/Debt
Highlights Ongoing monetary tightening in China poses a substantial threat to EM risk assets. Yet financial markets remain highly complacent. Mind the gap between EM risk assets and commodities currencies/various commodities prices. Business conditions in EM ex-China will diverge from the U.S. and European economies and recouple to the downside with China's growth. The pillars of the EM business cycle are China, commodities, and their own domestic credit cycle, rather than the U.S. and Europe. Continue shorting/underweighting the Malaysian currency, stocks and sovereign credit. Feature Chart I-1China: Ongoing Liquidity Tightening There is one major underappreciated risk in global financial markets: China's gradual yet unrelenting monetary tightening. Though slow and measured, this policy tightening constitutes a significant risk, particularly for emerging markets. The basis is that it could trigger a disproportionally large negative effect on Chinese growth because it is taking place amid a lingering credit bubble in China.1 Mainland interbank rates and onshore corporate bond yields have risen as the People's Bank of China (PBoC) has reduced its net liquidity injections via open market operations (Chart I-1, top panel). The PBoC's monetary tightening is bound to reduce money/credit growth in China. The bottom panel of Chart I-1 demonstrates that changes in the central bank's claims on commercial banks lead by 3 months asset growth at commercial banks. Diminished liquidity injections by the PBoC will soon push commercial banks to reduce the pace of their balance sheet expansion. Asset growth/loan origination among policy banks2 has already slowed (Chart I-2). On top of this, China's regulatory tightening aimed at curbing speculative (high-risk) financial activity will also curtail commercial banks' loan origination. For example, bank regulators are forcing banks to bring off-balance-sheet assets onto their balance sheets. As a result, money/credit growth is set to decelerate meaningfully. This, in turn, will cause another slump in this credit-addicted economy. It is very probable that the mini-business cycle in China has already reached its peak - our credit and fiscal impulse heralds further drop in the manufacturing PMI (Chart I-3). Chart I-2Commercial Banks And Policy ##br##Banks' Loan Growth To Slow Further Chart I-3China's Growth Has Rolled Over While China's monetary tightening is not a direct risk to domestic demand in the U.S. or Europe, it poses an imminent risk to commodities prices and EM risk assets. Consistent with slowing Chinese manufacturing output growth, commodities prices trading in mainland China have lately tanked. Bottom Line: BCA's Emerging Markets Strategy team maintains that ongoing monetary tightening in China poses substantial risks to EM risk assets and commodities. Yet financial markets remain complacent. Perplexing Complacency It is very perplexing that EM risk assets have so far ignored the risks stemming from China's tightening and renewed relapse in commodities prices. It seems portfolio allocation into risk assets, including those in the EM universe, is pushing prices higher irrespective of a major relapse in forward-looking indicators for both China and EM growth. EM stocks, currencies and credit spreads have decoupled from a number of indicators with which they historically had a high correlation: In recent weeks, we have brought to investors' attention that an unsustainable gap has been opening between the commodities currencies index - an equal-weighted average of AUD, NZD and CAD - and both EM exchange rates and EM share prices in local currency terms (Chart I-4A & Chart I-4B). Chart I-4AHeed The Message From Commodities Currencies Chart I-4BHeed The Message From ##br##Commodities Currencies Not only have commodities currencies decisively rolled over, but also commodities prices have begun sliding. Historically, EM risk assets in general and the sovereign credit market in particular have always sold off when commodities prices have drifted lower (Chart I-5). EM equity volatility is back to its lows (Chart I-6). This corroborates reigning complacency in the marketplace. Chart I-5Commodities Prices And ##br##EM Sovereign Spreads Chart I-6A Sign Of Complacency EM sovereign and corporate spreads have also fallen to their narrowest levels in recent years (Chart I-7). Notably, our valuation model for EM corporate bonds - which is constructed based on our EM Corporate Financial Health Index - posits that EM corporate credit is very expensive (Chart I-8). Chart I-7EM Sovereign And Corporate Spreads Chart I-8EM Corporate Credit Is Expensive Finally, EM local currency bond yield spreads over U.S. Treasurys have also dropped a lot, signifying complacency on the part of EM investors (Chart I-9). Chart I-9EM Local Bond Yield Spreads ##br##Over U.S. Treasurys Are Low Bottom Line: EM financial markets are not cheap, and investors are highly complacent. Mind the gap between EM risk assets and commodities currencies/various commodities prices. Can EM Decouple From China? An oft-asked and relevant question is whether EM ex-China can decouple from China itself. Not for the time being, in our view. On the contrary, as we argued in last week's report titled Toward A Desynchronized World,3 China's slowdown will weigh on the majority of the EM investable equity, currency and credit markets. As a result, growth conditions in EM ex-China will diverge from the U.S. and European economies and recouple to the downside with China's growth. The three pillars of EM ex-China growth are commodities, China and their domestic credit cycles. The primary link is via commodities. As China's growth decelerates and its imports relapse, commodities prices will plunge (Chart I-10). Latin America, Africa, the Middle East, Russia, Malaysia and Indonesia are set to experience negative terms-of-trade shocks as commodities prices deflate. As a result, their currencies will depreciate and growth will suffer. Although Mexico is leveraged to the U.S., oil prices still matter for it. This leaves non-commodities producing economies in Asia and central Europe. The latter is too small to matter for EM benchmarks. Central Europe correlates with Europe's business cycle rather than EM. In emerging Asia, Korea and Taiwan - the largest equity market cap weights after China in the MSCI EM index - sell much more to China than to the U.S. and Europe combined. Korea's shipments to China account for 25% of total exports while those to the U.S. and Europe combined make up 22%. For Taiwan the numbers are 27% and 20%, respectively. Thailand sells to China as much as it does to the U.S. This by and large leaves only three mainstream EM economies that are not substantially exposed to China: India, the Philippines and Turkey (Table I-1). Indian and Philippine stocks are expensive, and these nations confront their own unique problems. Turkey in turn is facing major political, economic and financial predicaments. Chart I-10Industrial Metals Prices To head Lower Table I-1Export To China And U.S. In short, among mainstream EM countries, there are very few plays not exposed to China or commodities and offer a reasonable risk/return profile. Investors also often ask if commodities importing economies in Asia can rally in absolute terms when and as commodities prices drop. Chart I-11 illustrates the Korean and Taiwanese equity indexes have historically (in the past 20 years) been strongly correlated with oil and industrial metals prices. The reason is that commodity price swings partially reflect global growth conditions. Being heavily dependent on exports, Korea and Taiwan are highly sensitive to fluctuations in global growth. We expect global trade to slow down anew, driven by weakness in China/EM imports, even if U.S. and European demand remains resilient. We elaborated on this theme in last week's report.4 Therefore, Korean and Taiwanese export shipments are set to slow as well. We are not bearish on Korean and Taiwanese domestic demand - we are in fact overweight these bourses within the EM equity universe, with a focus on technology and domestic sectors. That said, consumer and business spending in these economies is relatively small in a global context to make a difference for other EM markets. In addition, given these economies' mature phase of development, the pace of their income and domestic demand growth will be moderate. Many EM countries have experienced excessive credit growth in the past 15 years, but their banking systems have not restructured - i.e. banks have not sufficiently provisioned for non-performing loans. Until they do so, domestic loan growth remains at risk of weakening. There has been modest deleveraging in Brazil, Russia and India (Chart I-12). However, there is no evidence that these economies have embarked on a new credit cycle. Chart I-11Korean And Taiwanese Stocks ##br##Correlate With Commodities Chart I-12Some Moderate Deleveraging ##br##In Brazil, Russia And India Case in point are Indian state-owned banks: their experience shows that deleveraging can be more protracted and painful than one might initially expect. The reason is that it takes time for banks to acknowledge non-performing loans, be recapitalized and get ready to boost loan growth again. In addition, Brazil and Russia are still commodities plays at the mercy of commodities price dynamics. Besides, Brazil needs to undergo painful fiscal adjustment/reforms. In other developing countries, bank loan growth remains elevated and bank loan-to-GDP ratios continue to rise (Chart I-13). In these economies, credit retrenchment and even a mild deleveraging has not yet occurred. Prominently, as EM currencies come under downward pressure, interest rates in many economies running current account deficits will be pressured higher. This will lead to a slowdown in bank credit growth and will depress demand. Finally, if it were not for the pick-up in Chinese imports, the EM ex-China business cycle and commodities prices would not have ameliorated in the past 12 months. Notably, excluding China, Korea and Taiwan, developing nations' retail sales volumes and new vehicle sales remain dormant (Chart I-14). Similarly, there has not been much recovery in capital spending and, consistently, imports of capital goods in EM ex-China, Korea and Taiwan (Chart I-15). Chart I-13No Deleveraging In Many EMs Chart I-14EM Ex-China, Korea And Taiwan: ##br##Stabilization But No Revival Chart I-15EM Ex-China, Korea And Taiwan: ##br##Not Much Of Recovery As credit growth slows or fails to pick up in these economies, domestic demand recovery will be tepid, and will certainly disappoint market expectations. Bottom Line: Given budding divergence between U.S./Europe and Chinese growth, EM ex-China growth will fail to recover and will surprise to the downside. The basis is that the pillars of the EM's business cycle are China, commodities and their own domestic credit cycle, rather than the U.S. and Europe. Arthur Budaghyan, Senior Vice President Emerging Markets Strategy arthurb@bcaresearch.com 1 Please refer to the Emerging Markets Strategy Special Reports from October 26, 2016, November, 23 2016, and January 18, 2017, the links are available on page 16. 2 Policy banks are China Development Bank, Agricultural Development Bank and Export-Import Bank of China. 3 Please refer to the Emerging Markets Strategy Weekly Report titled, "Toward A Desynchronized World", dated April 26, 2017, link available on page 16. 4 Please refer to the Emerging Markets Strategy Weekly Report titled, "Toward A Desynchronized World", dated April 26, 2017, link available on page 16. Malaysia: Not Out Of The Woods Arenewed relapse in Chinese growth later this year coupled with lower commodities prices will once again expose Malaysia's vulnerabilities. Notably, 26% of Malaysia's exports are related to commodities - mainly crude oil, natural gas, petroleum products and palm oil. Another downleg in the ringgit's value along with lower commodities prices will cause domestic interest rates to rise. However, Malaysia is in no position to tolerate higher interest rates. Leverage has risen considerably in the past ten years in Malaysia, and is very high (Chart II-1A). Indeed, the country has one of the highest debt-servicing costs in the EM universe, according to BIS data (Chart II-1B). Chart II-1A...And Debt Servicing Costs Chart II-1BHigh Leverage... If the Malaysian central bank attempts to cap interest rates by injecting local currency liquidity into the system, the ringgit will plunge even further. Chart II-2 shows that in recent years local interbank rates have tended to rise when the central bank curtailed its net liquidity injection. If on the other hand the Bank Negara of Malaysia (BNM) does not inject liquidity into the banking/financial system, interest rates will rise as the currency depreciates. Interestingly, despite strong inflows into EM generally, the BNM has continued to inject local liquidity into the economy - albeit at a slower pace than in recent years - to keep local rates tame (Chart II-2). Additionally, despite the significant growth slowdown that has occurred in the past two years in Malaysia, banks' NPLs have not risen much (Chart II-3). As banks start acknowledging loan losses and setting provisions for them, their profitability will decline, capital will be eroded, and loan origination will fall. Chart II-2BNM Has Been Injecting Liquidity ##br##To Control Interest Rates Chart II-3Malaysian Banks Haven't ##br##Acknowledged Enough Losses Yet Meanwhile, even though global trade and commodities prices have picked in the past 15 months, Malaysia's economy has failed to recover. This reflects the country's underlying economic vulnerability as the borrowing/credit spree of the past decade has come to a halt: Commercial and passenger vehicle sales are shrinking. Retail trade and employment are also still anemic. Property sales volumes and housing construction approvals are collapsing (Chart II-4). Capital expenditures are depressed (Chart II-4, bottom panel). On the external side, the semiconductor/electronics sector has boomed in Asia since early 2016, but Malaysia has failed to benefit much. Indeed, the recovery in Malaysia's electronics sector has been weak compared to other technology hubs such as Taiwan and Korea. This confirms why Malaysia has been losing market share in electronics products to Korea, Taiwan and the Philippines (Chart II-5). Chart II-4Cyclical Growth Remains Anemic Chart II-5Malaysia Is Losing Tech Market ##br##Share To Its Asian Competitors Bottom Line: Continue shorting MYR versus the U.S. dollar and the Russian ruble. Equity investors should continue to underweight Malaysian stocks within an EM equity portfolio. Relative value traders should maintain our long Russian / short Malaysia equity trade. Buy/hold Malaysian CDS or underweight this sovereign credit market within an EM credit portfolio. Ayman Kawtharani, Associate Editor aymank@bcaresearch.com Equity Recommendations Fixed-Income, Credit And Currency Recommendations
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