Sectors

  Underweight (High-Conviction) The flattening of both fixed residential investment and existing home sales (bottom panel) have given us cause for concern with respect to home improvement retailers (HIR). While we remain bullish on the domestic housing market, HIR have seen huge valuation gains over the past four years (top panel), which the softer data fail to justify. In the context of lumber prices that have fallen from their parabolic highs (third panel), at least a slowing of top line growth seems inevitable. Our earnings model captures these factors as well as higher mortgage rates, all of which have driven our HIR earnings model into outright deflation (bottom panel). Even if this proves to be overly pessimistic, it should at least drive higher equity risk premiums in the sector, taking some wind out of the inflated valuation. Bottom Line: Valuations in HIR are not supported by softening demand data, revenue headwinds and rising interest rates. We reiterate our high-conviction underweight recommendation. The ticker symbols for the stocks in this index are: BLBG: S5HOMI - HD, LOW.    

Highlights All of our recent investment recommendations have performed very strongly but have further to go: 1.   Own a combination of European banks plus U.S. T-bonds. 2.   Overweight EM versus DM. 3.   Overweight European versus U.S. equities. 4.   Overweight Italian assets versus European assets. 5.   Overweight the JPY. Feature Chart of the WeekBank Outperformance Corroborates A Growth Rebound 2019 will be the investment mirror-image of 2018. Last year started with growth fading and inflation on the cusp of picking up, both in Europe and around the world. This year has started with the European and global economies in the mirror-image configuration: growth likely to rebound, albeit modestly, and inflation set to fade (Chart I-2). Chart I-2Why 2019 Is The Mirror-Image Of 2018 However, as 2019 unfolds, the configuration will reverse, requiring a flip from a pro-cyclical to a pro-defensive investment tilt later in the year. This contrasts with 2018 which started pro-defensive and ended pro-cyclical. In this regard, the economic and investment shape of 2019 will be the mirror-image of 2018. Growth To Rebound, Inflation To Fade A tell-tale sign of a growth rebound is the recent outperformance of banks. Around the world, yield curves have flattened – or even inverted – meaning that banks’ net interest margins have compressed. This compression of bank profit margins is normally bad news for bank equities. Yet banks have been outperforming, not just in Europe but globally (Chart I-3). If margins are compressing, the plausible explanation for outperformance would be an improved outlook for asset growth, reflecting both a reduction in bad debt provisioning and a pick-up in bank credit growth. Chart I-3Banks Have Been Outperforming Since October Independently and reassuringly, our proprietary credit impulse analysis supports this thesis (Chart of the Week). Six-month credit impulses have been rebounding not only in Europe, but also in the United States and very impressively in China (Chart I-4).   Chart I-46-Month Credit Impulses Have Rebounded Everywhere At the same time, inflation is set to disappoint as the recent near-halving of the crude oil price feeds into both headline and core consumer price indexes. With central banks now promising even greater “dependence on the incoming data”, this unfolding dynamic will force them to temper any hawkish intentions and rhetoric, limiting the extent of upside in bond yields. In this configuration, the combination of European banks plus U.S. T-bonds which we first recommended in November is still appropriate (Chart I-5). The position is up 3 percent in little more than a month and has further to go.1 Chart I-5Own A Combination Of Banks And Bonds Europe’s largest economy, Germany, should benefit from another support to growth. Last year, the auto sector – a major engine of the German economy – spluttered as it absorbed the new WLTP emissions testing standard. Through the middle of 2018 German motor vehicle exports suffered a €20 billion hit which shaved 0.6 percent from Germany’s €3.4 trillion economy (Chart I-6). Now, if auto exports stabilize, this drag will disappear. And if auto exports recover to the pre-WLTP level after this one-off and temporary shock, Germany will receive a 0.6% mirror-image boost to growth.2 Chart I-6German Auto Exports Suffered A WLTP Hit Regional Allocation Is Always And Everywhere About Sectors The European equity earnings cycle is tightly connected with global growth oscillations (Chart I-7). The simple reason is that the European equity market is over-exposed to classically growth-sensitive sectors such as banks and industrials. Chart I-7The European EPS Cycle Is Tightly Connected With Global Growth Oscillations The emerging market earnings cycle is also connected with global growth oscillations (Chart I-8) because emerging markets have a very high exposure to banks. But the much less understood reason is that emerging markets have a near-zero exposure to healthcare (Table I-1). In sharp contrast, the U.S. equity earnings cycle has almost no connection with global growth oscillations (Chart I-9) because the U.S. equity market is over-exposed to technology and healthcare, neither of which are classically cyclical sectors. Chart I-8The EM EPS Cycle Is Also Connected With Global Growth Oscillations... Chart I-9...But The U.S. EPS Cycle Is Not Connected With Global Growth Oscillations Hence the allocation to emerging market (EM) versus developed market (DM) equities, and to Europe versus the U.S. reduce to simple equity sector calls. A quick glance at Chart I-10 and Chart I-11 will reveal two fundamental and inescapable truths: Chart I-10EM Outperforms DM When Global Banks Outperform Healthcare Chart I-11European Equities Outperform U.S. Equities When Global Banks Outperform Technology EM outperforms DM when global banks outperform global healthcare. European equities outperform U.S. equities when global banks outperform global technology. But is this just about so-called ‘beta’? No, banks can outperform in a rising market by going up more or, as recently, in a falling market by going down less. So this is always and everywhere about head-to-head sector relative performances. My colleague Arthur Budaghyan, our chief emerging market strategist, remains steadfastly pessimistic on the structural outlook for EM versus DM. We agree with Arthur, albeit we arrive at the structural conclusion from a completely different perspective. To reiterate, for EM to outperform DM global banks must outperform global healthcare. However, over an extended period this will prove to be an extremely tall order. As detailed in European Banks: The Case For And Against, blockchain is a long-term extinction threat to banks’ business models and profitability. Whereas healthcare is still a major growth sector as people focus more spending on improving the quality and quantity of their lifespans.3  Nevertheless, from a purely tactical perspective, the growth up-oscillation phase that started in October can continue for a little while longer allowing the recent countertrend moves to persist – especially as the recent decline in bond yields could further spur credit growth in the near term. So for the moment stay overweight: EM versus DM. European equities versus U.S. equities. Italian assets versus European assets. Bargain Basement Currencies Another of my colleagues Doug Peta, our chief U.S. strategist, has coined a lovely metaphor: “you cannot get hurt falling out of a basement window”. The metaphor beautifully captures the asymmetry when you are near the floor or ‘zero-bound’. Doug uses it to explain that small contributors to an economy have a limited capacity to damage economic growth because they cannot fall very far. We think the metaphor applies equally to interest rates when they are at or near their lower bound, which is to say, in the basement. This begs the obvious question: if interest rates are in the basement, then what is it that cannot get hurt much? The answer is: the exchange rate. The payoff profile for exchange rates just tracks expected long-term interest rate differentials. This means that when the expected interest rate is in or near the basement, the currency possesses a highly attractive payoff profile called positive skew. In essence, for any central bank already at the realistic limit of ultra-loose policy – such as the BoJ and ECB – policy rate expectations are effectively in the basement. They cannot go significantly lower. In contrast, policy rate expectations for the Federal Reserve are somewhere between the seventh and twelfth storey of the building (Chart I-12). From which you can get seriously hurt if you fall out of the window! Chart I-12You Cannot Get Hurt Falling Out Of A Basement Window The upshot is that currency investors should always own at least one currency whose interest rate is in the basement against one whose interest rate is high up in the building, susceptible to fall out at some point, and get seriously hurt. The near term complication is the risk, albeit low, of a no-deal Brexit which would hurt European economies and currencies to a greater or lesser extent. Until the Brexit fog shows some signs of clearing, we would prefer the currency whose interest rate is in the basement to be a non-European currency. So for the moment, our favourite major currency remains the JPY. Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com Fractal Trading System* We are pleased to report that the 50:50 combination of Litecoin and Ethereum has surged by 42 percent in just two weeks! Also, long EUR/NZD achieved its 2.5 percent profit target and is now closed. This week’s trade is in line with the recommendation in the main body of this report to become pro-cyclical. Go long global industrials versus global utilities with a profit target of 3 percent and a symmetrical stop-loss. For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment’s fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. Chart I-13 The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions.   *  For more details please see the European Investment Strategy Special Report “Fractals, Liquidity & A Trading Model,” dated December 11, 2014, available at eis.bcaresearch.com Footnotes 1 The European banks position is relative to the broader equity market, and the recommended combination is 25 cents in the banks and 75 cents in the bonds. 2 German auto net exports and GDP are quoted at annualized rates. The Worldwide Harmonized Light Vehicle test Procedure (WLTP) is a new standard for auto emissions that took effect on September 1, 2018. 3 Please see the European Investment Strategy Special Report “European Banks: The Case For And Against”, November 8, 2018 available at eis.bcaresearch.com. Fractal Trading System Recommendations Asset Allocation Equity Regional and Country Allocation Equity Sector Allocation Bond and Interest Rate Allocation Currency and Other Allocation Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations

Highlights Our leading indicator for China’s old economy continues to point to slower growth over the coming months, which is consistent with the bearish message from China’s housing market and forward-looking export indicators. We would caution investors against interpreting the recent relative outperformance of Chinese stocks as a basis to become cyclically bullish, as it has largely reflected a “catchup” selloff in global stocks. We remain tactically overweight, in recognition of the fact that investors may bid up Chinese stocks on positive signs that a trade deal may be in sight. Onshore corporate bond spreads remain wide relative to pre-2017 levels, suggesting that it is too early to expect easier liquidity conditions to significantly improve domestic economic conditions. Feature Tables 1 and 2 on pages 2 and 3 highlight key developments in China’s economy and its financial markets over the past month. On the growth front, the primary trend for China’s old economy remains down, although measures of freight remain supported by trade front-running activity (which will wane over the coming months). Our Li Keqiang leading indicator continues to suggest that economic activity will slow from current levels, a conclusion that is reinforced by recent developments in the housing market and December’s PMI release. Table 1The Trend In Domestic Demand, And The Outlook For Trade, Remains Negative   Table 2Financial Market Performance Summary From an investment strategy perspective, we remain tactically overweight Chinese investable stocks versus the global benchmark in recognition of the fact that investors may bid up Chinese stocks on positive signs that a trade deal may be in sight. However, China’s recent outperformance has been passive in nature (i.e. reflecting declining global stocks), suggesting that Chinese stocks have simply been the winner of an “ugly contest” over the past few months. This is hardly a basis to be cyclically long, and we continue to recommend that investors remain neutral for now. In reference to Tables 1 and 2, we provide several detailed observations concerning developments in China’s macro and financial market data below: Bloomberg’s measure of the Li Keqiang index (LKI) fell in November for the third month in a row, although our Alternative LKI has risen due to a pickup in freight transport turnover. We showed in our December 5 Weekly Report that trade front-running has clearly boosted economic activity since Q1 of 2018,1 implying that freight volume growth is set to decelerate in the months ahead. Our Li Keqiang leading indicator ticked lower in December, after having risen non-trivially in the third quarter of 2018 (Chart 1). The December decline was caused by a pullback in the monetary conditions components of the indicator, which in turn was caused by the recent rise in CNY-USD. This echoes a point that we have made in previous reports, that the improvement in our leading indicator last year was not broad-based and that it does not yet herald a positive turning point for China’s old economy. Chart 1The Q3 Rise In Our Leading Indicator Was Not Broad-Based The October housing market slowdown that we highlighted in our November 21 Weekly Report continued into December,2 with floor space started and sold decelerating further (Chart 2). The latter, which typically leads the former, has returned to negative territory which, in conjunction with weaker Pledged Supplementary Lending from the PBOC, does not bode well for housing over the coming few months. House price appreciation remains strong outside of tier 1 cities, but a peak in our price diffusion indexes signals slower price gains are likely over the coming months. Chart 2China's Housing Market Activity Continues To Weaken On the trade front, nominal Chinese US$ import and export growth is now trending lower, confirming the negative signal provided by China’s manufacturing PMIs over the past few months. Notably, the new export orders components of both the official and Caixin PMIs declined in December, despite the tariff ceasefire that emerged during the G20 meeting at the end of November, suggesting that export growth is set to slow further in the first quarter of 2019. In relative US$ terms, Chinese investable stocks rose nearly 10% versus the global benchmark from mid-October until the end of 2018. However, as Chart 3 shows, this outperformance was entirely passive in nature, as Chinese stocks have not been trending higher in absolute terms. Chart 3Recent Equity Outperformance Has Been Passive, Not Active We remain tactically overweight Chinese investable stocks; the Chinese market remains deeply oversold in absolute terms, and signs of a potential trade deal over the coming few weeks may significantly improve global investor sentiment towards the country’s bourse. However, we would caution investors against interpreting the recent relative outperformance as a basis to become cyclically bullish, as it has largely reflected a “catchup” selloff in global stocks. The underperformance of Chinese health care stocks over the past two months has been stunning, with investable health care having fallen nearly 30% in relative terms since mid-November (Chart 4). However, this decline appears to have been caused by a sector-specific event (a massive profit margin squeeze due to a new government generic drug procurement program), and does not seem to imply anything about the outlook for Chinese consumers. Chart 4A Stunning, Idiosyncratic, Collapse In Health Care Stocks Despite the recent collapse in the health care sector, Chinese consumer discretionary (CD) stocks remain the largest losers within the investable universe, having declined over 40% in US$ terms over the past 12 months. The next twelve months may look quite different for CD, especially if China’s efforts to stimulate consumer spending succeed. The recent changes to the global industrial classification system (GICS) mean that Alibaba (China’s largest e-commerce retailer) is now included in the sector with a significant weight, overwhelming the heavy influence that auto producers used to wield. Auto stocks have struggled in the past due to China’s pollution controls, weak auto sales, and pledges to open up the auto sector (which would be negative for the market share of domestic firms). We will be watching over the coming several months for a pickup in retail goods spending combined with a technical breakout in relative performance as a sign to overweight Chinese consumer discretionary stocks relative to the investable index. Chinese interbank rates have fallen substantially over the past month (Chart 5), in response to additional efforts by the PBOC to boost liquidity in the financial system. Whether the additional liquidity (and lower borrowing rates) will feed into materially stronger credit growth remains to be seen, as we have presented evidence in past reports showing that China’s monetary policy transmission mechanism is impaired.2 Chart 5More Liquidity Has Lowered Interbank Rates Chinese onshore corporate bond spreads have creeped modestly higher since early-November, although by a small magnitude. While we remain optimistic that onshore defaults over the coming year will be less intense than many investors believe, onshore corporate bond spreads have been one of the more successful leading indicators of economic growth in China over the past two years, and remain wide by historical standards. This suggests that it is too early to expect easier liquidity conditions to significantly improve domestic economic conditions. While it is too early to call a durable bottom, the gap between CNY-USD and its 200-day moving average is steadily closing (Chart 6). The recent (modest) uptrend has been caused by two factors: 1) cautious optimism about the possibility of a durable trade deal with the U.S., and 2) retreating U.S. interest rate expectations. We would expect further weakness if the trade ceasefire collapses and President Trump moves forward with the previously-announced tariffs, but also a sizeable rally if a deal is negotiated. Chart 6A Tentative, But Noteworthy Improvement   Jonathan LaBerge, CFA, Vice President Special Reports jonathanl@bcaresearch.com Footnotes 1      Please see China Investment Strategy Weekly Report “2019 Key Views: Four Themes For China In The Coming Year”, dated December 5, 2018, available at cis.bcaresearch.com. 2      Please see China Investment Strategy Weekly Report “Trade Is Not China's Only Problem”, dated November 21, 2018, available at cis.bcaresearch.com. Cyclical Investment Stance Equity Sector Recommendations

  Neutral The pharma space has been exploding with merger mania as the largest pharma deal ever (Bristol-Myers Squibb buying Celgene for approximately $90 billion) was followed up by Eli Lilly acquiring Loxo Oncology for nearly $8 billion. These fall on the back of other notable global deals including GlaxoSmithKline buying Tesaro for $5.1 billion last month and Takeda buying Shire for $62 billion mid-last year. Such exuberance has clearly confirmed that merger premia are alive and well in the S&P pharma index. It is not merely rising premia that have taken pharma higher either. Pricing power has entered the early innings of a recovery (top panel) while the key export channel points to increasingly bright days ahead (second panel). However, pharma’s consolidation phase has come at a cost to sector leverage ratios that have dramatically expanded (bottom panel). The $33.5 billion loan taken on by Bristol-Myers Squibb to fund the cash portion of their acquisition and Eli Lilly’s all-cash offer are unlikely to help this ratio, regardless of a rosier EBITDA outlook. Bottom Line: Things are looking up for pharma but an expensive consolidation cycle will stretch balance sheets; stay neutral. The ticker symbols for the stocks in the S&P pharma index are: BLBG: S5PHAR - JNJ, PFE, MRK, BMY, AGN, LLY, ZTS, MYL, PRGO, NKTR.   ​​​​​​​​​​​​​​

  Overweight (downgrade alert) The S&P tech hardware, storage & peripherals (THSP) index has been falling from its late-summer peak, caused first by weak quarterly guidance from Apple (which comprises close to 90% of the index) and since worsened by last week’s announcement that softness from the key China market would see revenues miss even that lowered bar. This hardly seems surprising in the context of currencies that have not performed to Apple’s benefit as the decline in the RMB (shown inverted in the bottom panel) would mean that even if unit sales held flat, translation would see a fall in Chinese sales. Further, growth in Asian exports and sentiment on Apple’s earnings are tied at the hip (second panel); with a trade war compounding a clearly softer Chinese consumer, a step down in earnings estimates seems logical. Still, the news is not all bad as the core domestic market remains resilient. U.S. consumer spending on electronics is at a multi-year high (third panel) and the currency headwinds to top line growth should prove to be tailwinds to margins, considering the imported content of Apple’s products. Bottom Line: We view the recent pullback in the S&P THSP index as the reset button being pressed and accordingly we reiterate our overweight recommendation. However, we note our existing downgrade alert on the index;1 further deterioration in China would be a likely catalyst to trigger such a move. The ticker symbols for the stocks in this index are: BLBG: S5CMPE - HPQ, WDC, STX, XRX, AAPL, HPE, NTAP.   1 Please see BCA U.S. Equity Strategy Insight Report, “The Falling Apple And The Law Of Gravity,” dated November 13, 2018, available at uses.bcaresearch.com.  

Underweight (High-Conviction) When we lowered our recommendation to underweight and added the S&P interactive media & services index to the high-conviction underweight list for 2019,1 we noted that one of our key themes for the year ahead would be increasing regulatory efforts on technology. This theme has accelerated in recent weeks as Facebook has faced a new government lawsuit and negative headlines with respect to sharing user data, while Alphabet (Google) has been called to testify before Congress. The much harsher environment has filtered through to forward earnings growth that has plummeted to roughly half the level of the broad market (second panel). Still, amidst the recent market turmoil, the S&P interactive media & services index has been an outperformer. This is somewhat surprising, considering the 40% valuation premium the index maintains relative to the broad market (bottom panel). We think it’s only a matter of time until the valuation catches up with earnings to the downside; stay underweight the S&P interactive media & services index. The ticker symbols in the stocks in this index are: S5INMS – GOOGL, GOOG, FB, TWTR and TRIP. 1 Please see BCA U.S. Equity Strategy Weekly Report, “2019 Key Views: High-Conviction Calls,” dated December 3, 2018, available at uses.bcaresearch.com.

Special Report

Highlights The often-quoted 60% urbanization rate understates the extent of China’s industrialization. China is much more industrialized than generally perceived: the country’s industrialization rate is currently 82.5% – i.e., over 80% of jobs in China are already in non-agricultural sectors. This entails a slower rate of industrialization and urbanization going forward. Both rural-to-urban labor migration and expansion of existing cities will slow significantly over the next decade. Transforming rural areas into urban without migration will become the major form of urbanization over the next decade. Investment themes: Demand for urban property will slow considerably, while agricultural machinery sales may have sustainable growth ahead. Feature The scale of urbanization in China over the past two decades has been unprecedented in human history. China’s urban population has increased by 460 million from 1995 to 2017, outnumbering the total population of the U.S. and Japan combined. The extraordinary urbanization process, fundamentally driven by the country’s rapid and widespread industrialization process, had led to a massive migration of laborers from rural to urban areas, and in turn significant expansion of cities and a huge boom in the Chinese real estate market. Where is China now in terms of its industrialization and urbanization path? Will further urbanization be able to continue to support very high productivity growth as well as demand for its already bubbly property market? This report takes a closer look at the country’s progress of industrialization and urbanization. Industrialization Versus Urbanization Urbanization commonly refers to the increase in the proportion of people living in urban areas. For China, the National Bureau of Statistics (NBS) has two sets of data measuring the country’s urbanization rate – one uses the number of people who have resided in an urban area1 for at least six months within the period of one year, and the other uses the number of people who have only registered non-agricultural hukou.2 However, neither measure reflects the country’s industrialization level. Industrialization is defined as the transformation of an agrarian economy into an industrial one. One way to measure it is the share of employment in non-agricultural3 sectors of total employment. Based on this measure, China’s industrialization process is already reasonably advanced. Chart 1 shows that while only about 60% of the population lives in an urban area, as defined by the NBS (this is the often-cited measure by economists and strategists), World Bank data show that China’s industrialization rate is currently 82.5% – i.e., over 80% of jobs in China are already in non-agricultural sectors. This underscores that China’s development path is more advanced than is generally perceived by investors. Chart 1China: More Industrialized Than Perceived China’s urbanization rate cannot capture the fact that there are many non-agricultural jobs held by people living and working in areas administratively classified as rural. Therefore, the 60% urbanization rate understates the extent of China’s industrialization, and overestimates potential upside in future growth. The nation is already reasonably advanced in terms of moving labor from agriculture to non-agriculture industries. This conclusion is reinforced by comparing China with developed economies (the U.S., Japan and South Korea) based on standard urbanization rates and based on our measure of industrialization: The latter points to a much smaller gap between China and advanced countries than the former (Charts 2 and 3). Chart 2China Vs. Advanced Economies: A Much Smaller Gap In Industrialization Measure... Chart 3…Than In Standard Urbanization Measure China’s industrialization rate at 82.5% is similar to South Korea in the early-1990s (Chart 4, top panel). If in next 10 years China’s industrialization progresses in line with the South Korean experience during 1991-2001, this will mean China’s industrialization pace – defined as an annual increase in the industrialization rate – will slow materially to 0.6 percentage points per year over the next decade, from 1.4 percentage points per year over the past decade (Chart 4, bottom panel). Chart 5 demonstrates the close correlation between the pace of industrialization and real per capita GDP growth in both China and South Korea. What is clear from the chart is that as the pace of industrialization decelerates, per capita real income growth will slow further.   Chart 4Korean's Roadmap: Falling China's Industrialization Pace Ahead Chart 5Industrialization Pace Vs. Real Per Capita GDP Growth: Closely Correlated Indeed, industrialization has allowed massive rural-to-urban labor migration as well as enormous expansion of existing cities. Due to the high base, the pace of industrialization has already been slowing, and will continue to do so. Consequently, China’s industrialization-driven urbanization will also continue to lose steam, with ramifications for the economy and its various sectors. We discuss below each of the specific factors that are likely to contribute to China’s future urbanization path, and then conclude the report with the attendant implications for Chinese real estate and agricultural machinery sales. Falling Rural-To-Urban Migration Industrialization generally leads to urbanization by establishing manufacturing factories and generating job opportunities, which in turn induces the movement of agriculture labor to cities. Hence, rural-to-urban migration, triggered by industrialization, is typically the main driver of rising urbanization. Currently, rural-to-urban migration is falling, which is a negative signal for the pace of future urbanization. In China, the rural-to-urban migration process is indeed slowing – i.e., the number of new migrant workers moving from rural areas to cities has already decreased nearly by half, from an average of 9.3 million per year over 2009-2012 to 4.8 million per year over 2013-2017. If we exclude migrant workers aged 50 and above, the number of migrant workers (a stock variable) actually contracted last year (Chart 6). Chart 6The Number Of Young Migrant Workers: Actually Contracted In 2017 Several points suggest that the rural-to-urban migration process will likely progress at an even slower pace going forward: Declining industrial employment: Employment in industrial sectors has contracted across the board, implying less demand for migrant workers (Chart 7). Employment has contracted in all 30 industrial subsectors that the NBS monitors, and 29 of them currently have fewer employees than five years ago. Higher automation in factories, the government’s de-capacity reforms in some industries with excessive capacity (i.e., coal, steel, aluminum, cement and so on), and some labor-intensive industries (i.e. textiles) shifting to other low-labor-cost countries (i.e. Vietnam, Pakistan, Bangladesh, etc.) are all factors that have contributed to the reduction in industrial employment. Chart 7Declining Industrial Employment Aging migrant workers: The average age of migrant workers has already risen from 34 in 2008 to 39.7 last year, with 21.3% of total migrant workers now aged 50 and above. As they continue to age over the next five to 10 years, our sense is that a considerable proportion of these older migrant workers will likely move back out of urban areas because of the existence of a family support network in their villages/rural townships. Shrinking youth population in rural areas: China’s rural population has declined by 33% from its peak of about 860 million in 1995 to 577 million in 2017 (Chart 8, top panel). All else equal, the lower rural population base alone will result in smaller rural-to-city migration compared to the previous two decades. More importantly, as substantial numbers of the working-age population left their rural homes for cities, the proportion of elders in the rural population has significantly increased, while the proportion of young people has drastically decreased. The current 19-and-under cohort will be the major source of future rural-to-urban migration over next five to 10 years. Based on the NBS data, in rural areas the share of the population aged 50 and over rose to 33% in 2017, much higher than the 25% of the population aged 19 and younger. This contrasts with 18% and 36%, respectively, back in 1997. The increasing proportion of elders and the declining proportion of the young population segment in rural areas implies smaller rural-to-city migration scale going forward. Chart 8Rural-To-Urban Migration Will Continue To Decline Changing preferences of the rural population: In recent years, the agricultural hukou has become much more valuable than in the past. In China, the government always assigns a piece of land for farming to a person with an agricultural hukou when he or she is born. This does not apply to a person with a non-agricultural hukou. As the central government’s policy focuses more on rural development, more non-farming job opportunities will likely be created in the rural areas. Services that in the past could only be enjoyed in urban areas are now spreading into rural areas as well, suggesting farmers who have either kids or elder parents to take care of will be more willing to stay in rural areas. If we use the annual change in the rural population as an indicator to predict the scale of rural-to-urban migration, the migration started in 1996 and peaked in 2010, and will decline going forward (Chart 8, bottom panel). Bottom Line: The scale of rural-to-urban migration will likely continue to diminish in the next five to 10 years. Slower City Area Expansion China’s industrialization-driven urbanization is not only driven by rural-to-urban labor migration, but also by the process of expanding and developing existing urban areas. In Western parlance, this factor would be described as the intense development of the territories surrounding the core of a “metropolitan area.” By establishing manufacturing factories, developing public facilities (roads, highways, subways, schools, hospitals, recreation centers, etc.), and constructing residential/commercial buildings to accommodate massive influxes of migrant workers in the rural areas surrounding cities, these territories have quickly expanded and have been transformed into urban areas4 over the past two decades. Statistics show that the “city area” in China has expanded 150% since 2000, almost twice the 77% rate of growth in the urban population during the same period (Chart 9, top panel). Chart 9Overdevelopment Of City Area Expansion In these now formerly rural areas, local governments often bought land from local farmers and then either sold the land to real estate developers to construct new residential properties or commercial buildings or used the land to develop public facilities. As a result, living conditions and economic development in these rural areas have become “urban-like.” Looking forward, over the next five to 10 years, we believe city area expansion will slow considerably (Chart 9, bottom panel). First, local governments have already taken on massive debt to fund city area expansion over the past two decades, as part of an attempt to demonstrate the success of their economic development plans to the central government (which is usually measured by GDP). However, circumstances have changed. China’s central government now expects local governments to generate “high-quality” and environmentally-sustainable economic growth – and they are unlikely to measure the performance of local government officials simply based on GDP. In addition, containing debt/leverage (including that of SOEs and local governments) is a priority for the central government, implying that debt-fueled city area expansion is unlikely to continue. Moreover, Beijing has already shifted its policy focus from city-area expansion to rural-in-situ urbanization (discussed below). Bottom Line: Past overdevelopment and constraints on local governments suggest that city-area expansion in China will slow considerably in the next five to 10 years, constraining the country’s urbanization pace. Rising Rural-In-Situ Urbanization Going forward, the major driver of urbanization in China will be greatly different from the previous 30 years. Over the next five to 10 years, China’s urban population growth will be driven more by the rural-in-situ urbanization (urbanization without people migration) by transforming rural areas into urban. This is in contrast to urbanization through rural-to-urban labor migration and city-area expansion. The rural-in-situ urbanization – transforming townships/villages directly into towns – has become a policy focus of the central government. The Chinese central government released its first national urbanization plan in March 2014 and announced the “Rural Revitalization Strategic Plan 2018-2022” in September. Both strategic blueprints emphasize the goal of “rural-in-situ urbanization” over the next five to 10 years, to be achieved by building up villages directly into towns. There are currently about 7,000 specialty towns planned or under construction, and it seems more are on the way. However, given already high local government debt and lack of funds for a sizeable proportion of Chinese local governments, we believe a considerable portion of the development of these specialty towns will miss their initial expectations. We expect the rural-in-situ urbanization to be the major force of further urbanization in China (Chart 10). As noted above, the shifting demographic structure of China’s rural areas and the changing preferences of the rural population will also facilitate the rural-in-situ urbanization. Meanwhile, with the government’s policy support, disposable income per capita in rural areas will likely continue to grow faster than in urban areas, which may also help induce rural farmers to remain in rural areas (Chart 11). Chart 10Rising Rural-In-Situ Urbanization Chart 11Rural Vs. Urban: Higher Disposable Income Per Capita Growth Bottom Line: Over the next decade, China’s urbanization will be driven more by the rural-in-situ urbanization (without people migration) by transforming rural areas into urban. Rising “Organic” Urban Population Growth As a final point, “organic” urban population growth (births minus deaths) will likely account for a larger share of China’s rising urban population in the future. A larger urban population base, improving birth rate due to the end of the one-child policy and longer life expectancy (76.3 in 2016 vs. 74 in 2005) will result in a rising urban population going forward (Chart 12). Chart 12Rising "Organic" Urban Population Growth However, unaffordable housing and rising household debt levels (Chart 13) are generating pressure on new families, suggesting the demographic dividend of removing the one-child policy may be smaller than hoped. As a result, a rising urban-area population is unlikely to offset the slowing urbanization factors noted above. Chart 13Household Leverage: China And U.S. Structural Headwinds For Chinese Household Consumption Growth Growing Reluctance To Have More Kids Bottom Line: We believe China’s urban population growth will drift below 2.5%, the lowest in the past 30 years (Chart 14). Chart 14China's Urban Population Growth Will Drift Lower Investment Implications A declining pace of industrialization and changing forms of urbanization will have the following ramifications: Falling rural-to-urban labor migration points to diminishing property demand from migrant workers. This is structurally bearish for the Chinese residential real estate market, given that most residential construction has occurred in urban areas (Chart 15). Investors holding housing units in urban areas in expectations of rampant price appreciation due to continuous large-scale rural-to-urban migration will be disappointed in the long run. Chart 15Chinese Property Demand: Gloomy Outlook An emphasis on rural-in-situ urbanization suggests the government is aiming to improve the living conditions of rural households to enable them to live more similar to urban households. For income per capita in rural areas to rise faster, their productivity growth should grow more rapidly. To raise productivity in the agricultural sector, the government is aiming to implement farmland reforms as proposed by the “Rural Revitalization Strategic Plan 2018-2022.” The objective is to enable either the private sector or public sector to collate many small pieces of farmland into large ones. Large tracts of farmland will in turn allow for an improvement in productivity by applying modern agricultural techniques and machinery. Hence, we believe agricultural machinery sales may have sustainable growth ahead. The aging population and rising number of newborns suggest growth in healthcare, childcare and eldercare will outperform the real estate and raw materials sectors over the long run. Ellen JingYuan He, Associate Vice President Emerging Markets Strategy EllenJ@bcaresearch.com   Footnotes 1      The definition of urban area and rural area in China is based on the country’s administrative divisions defined by the government. In China, cities and towns are recognized as urban areas while townships and villages are considered to be rural areas. 2      The Hukou system is a governmental household registration process to define residence in mainland China. It determines a person’s access to housing, education, medical treatment, and social welfare in a city. 3      All sectors other than the agricultural sector (farming, fishery, forestry and animal husbandry). 4      There is no clear definition or standards for the transformation of rural areas to urban areas. In general, a rural area, where has become more developed in terms of economic development, more connected to the city or town in terms of transportation and public facility access, and the residents’ living condition is more like the urban residents, is more likely to be re-defined as urban area by the local government. CYCLICAL INVESTMENT STANCE

Special Report

This is the second of a two-part Special Report on the structural changes that have occurred as a result of the Great Recession and financial crisis. We look at three issues: asset correlation, the safety of the financial system, and the level of global debt. First, correlations among financial assets shifted dramatically during the financial crisis and the after-effects lingered for years. Some believe that the underlying level of correlation among risk assets has shifted permanently higher for two main reasons: (1) trading factors such as the increased use of exchange-traded funds and algorithms; and (2) the risk-on/risk-off environment in which trading has become more binary in nature, due to the sharp rise in policy uncertainty, risk aversion and risk premiums in the aftermath of the Great Recession. We have sympathy for the second explanation. The equity risk premium (ERP) was forced higher on a sustained basis by the financial crisis, driven by fears that the advanced economies had entered a ‘secular stagnation’. Elevated correlation among risk assets was a result of a higher-than-normal ERP. The ERP should decline as fears of secular stagnation fade, leading to a lower average level of risk asset correlation than has been the case over the last decade. Second, regulators have been working hard to ensure that the financial crisis never happens again. But is the financial system really any safer today? Undoubtedly, banks have improved balance sheet and funding resilience, and have significantly reduced their involvement in complex financial activities. The propensity for contagion among banks has diminished and there has been a dramatic decline in the volume of complex structured credit securities. The bad news is that the level of global debt has increased at an alarming pace. The third part of this report highlights that elevated levels of debt could cause instability in the global financial system. Choking debt levels boost the vulnerability to negative shocks. The number and probability of potential shocks appear to have increased since 2007, including extreme weather events, sovereign debt crises, large-scale migration, populism, water crises and cyber & data attacks. The lack of a fiscal buffer in most countries means that it will be difficult or impossible to provide any fiscal relief in the event of a negative shock. Moreover, the end of the Debt Supercycle means that the monetary and fiscal authorities will find it difficult to encourage the private sector to spend more in most cases. For EM, deleveraging has not even started and more financial fireworks seem inevitable in the context of a strong dollar and rising global yields. China may avoid a crisis, but the adjustment to a less credit-driven economy is already proving to be a painful process. The Great Recession and Financial Crisis cast a long shadow that will affect economies, policy and financial markets for years to come. Rather than reviewing the roots of the crisis, the first of our two-part series examined the areas where we believe structural change has occurred related to the economy or financial markets. We covered the changing structure of the corporate bond market, the inflation outlook, central bank policymaking and equilibrium bond yields. We highlighted that the financial crisis transformed the corporate bond market in several ways that heighten the risk for quality spreads in the next downturn. We made the case that the prolonged inflation undershoot is sowing the seeds of an overshoot in the coming years, in part related to central bank policymakers that are doomed to fight the last war. Finally, we argued that the forces behind the structural and cyclical bull market in bonds reached an inflection point in 2016/2017. In Part II, we examine the theory that the financial crisis has permanently lifted market correlations among risk assets. Next, we look at whether regulatory changes implemented as a result of the financial crisis have made the global financial system safer. Finally, we highlight the implications of the continued rise in global leverage over the past decade in the context of BCA’s Debt Supercycle theme. The bottom line is that the global financial system still faces substantial risks, despite a more highly regulated banking system. (1) Are Risk Asset Correlations Permanently Higher? Correlations among financial assets shifted dramatically during the financial crisis and the after-effects lingered for years. For example, risk assets became more highly correlated, suggesting little differentiation within or across asset classes. Chart II-1 presents a proxy for U.S. equity market correlations, using a sample of current S&P 100 companies. The average correlation was depressed in the 1990s and 2000s relative to the 1980s. It spiked in 2007 and fluctuated at extremely high levels for several years, before moving erratically lower. It has jumped recently and is roughly in the middle of the post-1980s range. Chart II-1Two Factors Driving Correlation Correlations will undoubtedly ebb and flow in the coming years and will spike again in the next recession. But a key question is whether correlations will oscillate around a higher average level than in the 1990s and 2000s. The consensus seems to believe that the underlying level of correlation among risk assets has indeed shifted higher on a structural basis for two main reasons: Market Structure Changes: Many investors point to trading factors such as the increased use of index products (exchange-traded funds for example), and high-frequency/algorithmic trading as likely culprits. Macro “theme” investing has reportedly become more popular and is often implemented through algorithms. The result is an increase in stock market volatility and a tendency for risk-asset prices to move up and down based on momentum because they are all being traded as a group. These factors would likely be evident today even if the financial crisis never happened, but the popularity of algorithm trading may have been encouraged by the fact that the macro backdrop was so uncertain for years after Lehman collapsed. Risk On/Off Trading Environment: Trading has become more binary in nature, due to the sharp rise in policy uncertainty, risk aversion and risk premiums in the aftermath of the Great Recession. Even after the recession ended, the headwinds to growth were formidable and many felt that the sustainability of the recovery hinged largely on the success or failure of unorthodox monetary policies. The general feeling was that either the policies would “work”, the output gap would gradually close and risk assets would perform well, or it would fail and risk assets would be dragged down by a return to recession. Thus, markets traded on an extreme “risk-on/risk-off” basis, as sentiment swung wildly with each new piece of economic and earnings data. While the market structure thesis has merit on the surface, the impact should only be short term in nature. It is difficult to see how a change in the intra-day microstructure of the market could have such a fundamental, wide-ranging and permanent impact on market prices. Previous research suggests that any impact on market correlation beyond the very short term is likely to be small. For the sake of brevity, we won’t present the evidence here, but instead refer readers to two BCA Special Reports.1 The risk on/off trading environment thesis is a more plausible explanation. However, we find it more useful to think about it in terms of the equity risk premium (ERP). A higher ERP causes investors to revalue cash flows from all firms, which, in turn, causes structural shifts in the correlation among stocks. A lower ERP results in less homogenization of the present value of future cash flows, and raises the effect of differentiation among business models. A rise in the ERP could occur for different reasons, but the most obvious are an increase in the perceived riskiness of firms, a shift in investor risk aversion, or both. Shifts in the ERP are sometimes structural in nature, but there is also a strong cyclical element in that persistent equity declines historically have had the effect of temporarily raising the ERP and correlations. A simple model based on the ERP and volatility explains a lot of the historical variation in equity correlation, including the elevated levels observed in the years after 2007 (Chart II-2).2 The shift lower in correlations after 2012 reflects both a lower equity risk premium and a dramatic decline in downside volatility. Chart II-2Simple Model Explains Correlation It is tempting to believe that the lingering shell-shock related to the financial crisis means that the underlying equity risk premium has shifted permanently higher. The ERP is still elevated by historical standards, but this is more reflective of extraordinarily low bond yields than an elevated forward earnings yield. Investors evidently believe that the U.S. and other developed economies are stuck in a “secular stagnation”, which will require low interest rates for many years just to keep economic growth near its trend pace. In other words, the equilibrium interest rate, or R-star, is still very low. The ERP and correlations among risk assets will undoubtedly spike again in the next recession. Nonetheless, in the absence of recession, we expect fears regarding secular stagnation to fade further. If the advanced economies hold up as short-term interest rates and bond yields rise, then concerns that R-star is extremely low will dissipate and expectations regarding equilibrium bond yields will shift higher. The ERP will move lower as bond yields, rather than the earnings yield, do most of the adjustment. The underlying correlations among risk asset prices should correspondingly recede. This includes correlations among a wide variety of risk assets, such as corporate bonds and commodities. While this describes our base case outlook, there is a non-trivial risk that the next recession arrives soon and is deep. This would underscore the view that R-star is indeed very low and the economy needs constant monetary stimulus just to keep it out of recession (i.e. the secular stagnation thesis). The ERP and correlations would stay elevated on average in that scenario. What About The Stock/Bond Correlation? Chart II-3 shows the rolling correlation between monthly changes in the 10-year Treasury bond yield and the S&P 500. The correlation was generally negative between the late-1960s and the early-2000s. Bond yields tended to rise whenever the S&P 500 was falling. Over the past two decades, however, bond yields have generally declined when the stock market has swooned. Chart II-3Structural Shifts In The Stock/Bond Correlation Inflation expectations can help explain the shift in stock/bond correlation. Expectations became unmoored after 1970, which meant that inflationary shocks became the primary driver of bond yields. Strong growth became associated with rising inflation and inflation expectations, and the view that central banks had fallen behind the curve. Bond yields surged as markets discounted aggressive tightening designed to choke off inflation. And, given that inflation lags the cycle and had a lot of persistence, central banks were not in a position to ease policy at the first hint of a growth slowdown. This was obviously a poor backdrop for stocks. When inflation expectations became well anchored again around the late 1990s, investors no longer feared that central banks would have to aggressively stomp on growth whenever actual inflation edged higher. Central banks also had more latitude to react quickly by cutting rates at the first sign of slower economic growth. Fluctuations in growth became the primary driver of bond yields, allowing stock prices to rise and fall along with yields. The correlation has therefore been positive most of the time since 2003. Bottom Line: A negative correlation between stocks and bond yields reared its ugly head in the last quarter of 2018. The equity correction reflected several factors, but the previous surge in bond yields and hawkish Fed comments appeared to spook markets. Investors became nervous that the fed funds rate had already entered restrictive territory, at a time when the global economy was cooling off. We expect more of these episodes as the Fed normalizes short-term interest rates over the next couple of years. Nonetheless, we see no evidence that inflation expectations have become unmoored. This implies that the stock-bond correlation will generally be positive most of the time over the medium term. In addition, the average level of correlation among risk assets has probably not been permanently raised, although spikes during recessions or growth scares will inevitably occur. (2) Is The Global Financial System Really Safer Today? The roots of the great financial crisis and recession involved a global banking and shadow banking system that encouraged leverage and risk-taking in ways that were hard for investors and regulators to assess. Complex and opaque financial instruments helped to hide risk, at a time when regulators were “asleep at the switch”. In many countries, credit grew at a much faster pace than GDP and capital buffers were dangerously low. Banking sector compensation skewed the system toward short-term gains over long-term sustainable returns. Lax lending standards and a heavy reliance on short-term wholesale markets to fund trading and lending activity contributed to cascading defaults and a complete seizure in parts of the money and fixed income markets. A vital question is whether the financial system is any less vulnerable today to contagion and seizure. The short answer is that the financial system is better prepared for a shock, but the problem is that the number of potential sources of instability have increased since 2007. Since the financial crisis, regulators have been working hard to ensure that the financial crisis never happens again. Reforms have come under four key headings: Capital: Regulators raised the minimum capital requirement for banks, added a buffer requirement, and implemented a surcharge on systemically important banks. Liquidity: Regulators implemented a Liquidity Coverage Ratio (LCR) and a Net Stable Funding Ratio (NSFR) in order to ensure that banks have sufficient short-term funds to avoid liquidity shortages and bank runs.3 Risk Management: Banks are being forced to develop systems to better monitor risk, and are subject to periodic stress tests. Resolution Planning: Banks have also been asked to detail options for resolution that, hopefully, should reduce systemic risk should a major financial institution become insolvent. Global systemically-important banks, in particular, will require sufficient loss-absorbing capacity. A major study by the Bank for International Settlements,4 along with other recent studies, found that systemic risk in the global financial system has diminished markedly as a result of the new regulations. On the whole, banks have improved balance sheet and funding resilience, and have significantly reduced their involvement in complex financial activities. Lending standards have tightened almost across the board relative to pre-crisis levels, particularly for residential mortgages. Additional capital and liquid assets provide a much wider buffer today against adverse shocks, allowing most banks to pass recent stress tests (Chart II-4). Financial institutions have generally re-positioned toward retail and commercial banking and wealth management, and away from more complex and capital-intensive activities (Chart II-5). The median share of trading assets in total assets for individual G-SIBs has declined from around 20% to 12% over 2009-16. Moreover, the propensity for contagion among banks has diminished. The BIS notes that assessing all the complex interactions in the global financial system is extremely difficult. Nonetheless, a positive sign is that banks are focusing more on their home markets since the crisis, and that direct connections between banks through lending and derivatives exposures have declined. The BIS highlights that aggregate foreign bank claims have declined by 16% since the crisis, driven particularly by banks from the advanced economies most affected by the crisis, especially from some European countries (Chart II-6). It is also positive that European banks have made some headway in diminishing over-capacity, although problems still exist in Italy. Finally, and importantly, there has been a distinct shift toward more stable sources of funding, such as deposits, away from fickle wholesale markets (Charts II-7 and II-8). Chart II-6Less Cross Border Lending (Until Recently)   Outside of banking, many other regulatory changes have been implemented to make the system safer. One important example is that rules were adjusted to reduce the risk of runs on money market funds. What About Shadow Banking? Of course, more could be done to further indemnify the financial system. Concentration in the global banking system has not diminished, and it appears that the problem of “too big to fail” has not been solved. And then there is the shadow banking sector, which played a major role in the financial crisis by providing banks a way of moving risk to off-balance sheet entities and securities, and thereby hiding the inherent risks. Shadow banking is defined as credit provision that occurs outside of the banking system, but involves the key features of bank lending including leverage, and liquidity and maturity transformation. Complex structured credit securities, such as Collateralized Debt Obligations, allowed this type of transformation to mushroom in ways that were difficult for regulators and investors to understand. A recent study by the Group of Thirty5 concluded that securitization has dropped to a small fraction of its pre-crisis level, and that growing non-bank credit intermediation since the Great Recession has primarily been in forms that do not appear to raise financial stability concerns. Much of the credit creation has been in non-financial corporate bonds, which is a more stable and less risky form of credit extension than bank lending. Other types of lending have increased, such as corporate credit to pension funds and insurance companies, but this does not involve maturity transformation, according to the Group of Thirty. There has been a dramatic decline in the volume of complex structured credit securities such as collateralized debt obligations, asset-backed commercial paper, and structured investment vehicles since 2007 (Chart II-9). While the situation must be monitored, the Group of Thirty study concludes that the financial system in the advanced economies appears to be less vulnerable to bouts of self-reinforcing forced selling, such as occurred during the 2008 crisis. Chart II-9Less Private-Sector Securitization One exception is the U.S. leveraged loan market, which has swelled to $1.13 trillion and about half has been pooled into Collateralized Loan Obligations. As with U.S. high-yield bonds, the situation is fine as long as profitability remains favorable. But in the next recession, lax lending standards today will contribute to painful losses in leveraged loans. The Bad News That’s the good news. The bad news is that, while the financial system might have become less complex and opaque, the level of debt has increased at an alarming rate in both the private and public sectors in many countries. Elevated levels of debt could cause instability in the global financial system, especially as global bond yields return to more normal levels by historical standards. We discuss other pressure points such as Emerging Markets and China in the next section, although the latter deserves a few comments before we leave the subject of shadow banking. The Group of Thirty notes that 30% of Chinese credit is provided by a broad array of poorly regulated shadow banking entities and activities, including trust funds, wealth management products, and “entrusted loans.” Links between these entities and banks are unclear, and sometimes involve informal commitments to provide credit or liquidity support. The study takes some comfort that most of Chinese debt takes place between Chinese domestic state-owned banks and state-owned companies or local government financing vehicles. Foreign investors have limited involvement, thus reducing potential direct contagion outside of China in the event of a financial event. Still, the potential for contagion internationally via global sentiment and/or the economic fallout is high. The other bad news is that, while regulators in the advanced economies have managed to improve the ability of financial institutions to weather shocks, potential risks to the financial system have increased in number and in probability of occurrence. The Global Risk Institute (GRI) recently published a detailed comparison of potential shocks today relative to 2007.7 The report sees twice the number of risks versus 2007 that are identified as “current” (i.e. could occur at any time) and of “high impact”. The most pressing risks today include extreme weather events, asset bubbles, sovereign debt crises, large-scale involuntary migration, water crises and cyber & data attacks. Any of these could trigger a broad financial crisis if the shock is sufficiently intense, despite improved regulation. The GRI study also eventuates how the risks will evolve over the next 11 years. Readers should see the study for details, but it is interesting that the experts foresee cyber dependency rising to the top of the risk pile by 2030. The increase is driven by the importance of data ownership, the increasing role of algorithms and control systems, and the $1.2 trillion projected cost of cyber, data and infrastructure attacks. Our computer systems are not prepared for the advances of technology, such as quantum computing. Climate change moves to the number two risk spot in its base-case outlook. Space limitations precluded a discussion of the rise of populism in this report, but the GRI sees the political tensions related to income inequality as the number three threat to the global financial system by 2030. Bottom Line: Regulators have managed to substantially reduce the amount of hidden risk and the potential for contagion between financial institutions and across countries since 2007. Banks have a larger buffer against stocks. Unfortunately, the number and probability of potential shocks to the financial system appear to have increased since 2007. (3) Implications Of The Global Debt Overhang The End of the Debt Supercycle is a key BCA theme influencing our macro view of the economic and market outlook for the coming years. For several decades, the willingness of both lenders and borrowers to embrace credit was a lubricant for economic growth and rising asset prices and, importantly, underpinned the effectiveness of monetary policy. During times of economic and/or financial stress, it was relatively easy for the Federal Reserve and other central banks to improve the situation by engineering a new credit up-cycle. However, since the 2007-09 meltdown, even zero (or negative) policy rates have been unable to trigger a strong revival in private credit growth in the major developed economies, except in a few cases. The end of the Debt Supercycle has severely impaired the key transmission channel between changes in monetary policy and economic activity. The combination of high debt burdens and economic uncertainty has curbed borrowers’ appetite for credit while increased regulatory pressures and those same uncertainties have made lenders less willing to extend loans. This has severely eroded the effectiveness of lower interest in boosting credit demand and supply, forcing central banks to rely increasingly on manipulating asset prices and exchange rates. On a positive note, the plunge in interest rates has lowered debt servicing costs to historically low levels. Yet, it is the level, rather than the cost, of debt that seems to have been an impediment to the credit cycle, contributing to a lethargic economic expansion. The Bank for International Settlements (BIS) publishes an excellent dataset of credit trends across a broad swath of developing and emerging economies. Some broad conclusions come from an examination of the data (Charts II-10 and II-11):7 Chart II-10Advanced Economies: Some Deleveraging Chart II-11EM: Deleveraging Has Not Even Started Private debt growth has only recently accelerated for the advanced economies as a whole. There are only a handful of developed economies where private debt-to-GDP ratios have moved up meaningfully in the past few years. These are countries that avoided a real estate/banking bust and where property prices have continued to rise (e.g. Canada and Australia). The high level of real estate prices and household debt currently is a major source of concern to the authorities in those few countries. Even where some significant consumer deleveraging has occurred (e.g. the U.S., Spain and Ireland), debt-to-income ratios remain very high by historical standards. In many cases, a stabilization or decline in private debt burdens has been offset by a continued rise in public debt, keeping overall leverage close to peak levels. This is a key legacy of the financial crisis; many governments were forced to offset the loss of demand from private sector deleveraging by running larger and persistent budget deficits. Weak private demand accounts for close to 50% of the rise in public debt on average according to the IMF. Global debt of all types (public and private) has soared from 207% of GDP in 2007 to 246% today. The Debt Supercycle did not end everywhere at the same time. It peaked in Japan more than 20 years ago and has not yet reached a decisive bottom. The 2007-09 meltdown marked the turning point for the U.S. and Europe, but it has not even started in the emerging world. The financial crisis accelerated the accumulation of debt in the latter as investors shifted capital away from the struggling advanced economies to (seemingly less risky) emerging markets. Both EM private- and public-sector debt ratios have continued to move up at an alarming pace. The lesson from Japan is that deleveraging cycles following the bursting of a major credit bubble can last a very long time indeed. One key area where there has been significant deleveraging is the U.S. household sector (Chart II-12). The ratio of household debt to income has fallen below its long-term trend, suggesting that the deleveraging process is well advanced. However, one could argue that the ratio will undershoot the trend for an extended period in a mirror image of the previous overshoot. Or, it may be that the trend has changed; it could now be flat or even down. Chart II-12U.S. Household Deleveraging... What is clear is that U.S. attitudes toward saving and spending have changed dramatically since the Great Financial Crisis (GFC) (Chart II-13). Like the Great Depression of the 1930s that turned more than one generation off of debt, the 2008/09 crisis appears to have been a watershed event that marked a structural shift in U.S. consumer attitudes toward credit-financed spending. The Debt Supercycle is over for this sector. Chart II-13...As Attitudes To Debt Change Developing Countries: Debt And Economic Fundamentals BCA’s long-held caution on emerging economies and markets is rooted in concern about deteriorating fundamentals. Trade wars and a tightening Fed are negative for EM assets, but the main headwinds facing this asset class are structural. Excessive debt is a ticking time bomb for many of these countries. EM dollar-denominated debt is now as high as it was in the late 1990s as a share of both GDP and exports (Chart II-14). Moreover, the declining long-term growth potential for emerging economies as a group makes it more difficult for them to service the debt. The structural downtrend in EM labor force and productivity growth underscores that trend GDP growth has collapsed over the past three decades (Chart II-14, bottom panel). Chart II-14EM: High Debt And Slow Growth... The 2019 Key Views8 report from our Emerging Markets Strategy team highlights that excessive capital inflows over the past decade have contributed to over-investment and mal-investment. Much of the borrowing was used to fund unprofitable projects, as highlighted by the plunge in productivity growth, profit margins and return on assets in the EM space relative to pre-Lehman levels (Chart II-15) Decelerating global growth in 2018 has exposed these poor fundamentals. Chart II-15...Along With Deteriorating Profitability As we highlighted in the BCA Outlook 2019, emerging financial markets may enjoy a rally in the second half of 2019 on the back of Chinese policy stimulus. However, this will only represent a ‘sugar high’. The debt overhang in emerging market economies is unlikely to end benignly because a painful period of corporate restructuring, bank recapitalization and structural reforms are required in order to boost productivity and thereby improve these countries’ ability to service their debt mountains. China’s Debt Problem Space limitations preclude a full discussion of the complex debt situation in China and the risks it poses for the global financial system. Waves of stimulus have caused total debt to soar from 140% of GDP in 2008 to 260% of GDP at present (Chart II-16). Since most of the new credit has been used to finance fixed-asset investment, China has ended up with a severe overcapacity problem. The rate of return on assets in the state-owned corporate sector has fallen below borrowing costs (Chart II-17). Chinese banks are currently being told that they must lend more money to support the economy, while ensuring that their loans do not sour. This has become an impossible feat. Chart II-16China's Overinvestment... Chart II-17Has Undermined The Return On Assets The previous section highlighted that much of the debt has been created in the opaque shadow banking system, where vast amounts of hidden risk have likely accumulated. Whether or not the central government is willing and/or able to cover a wave of defaults and recapitalize the banking system in the event of a negative shock is hotly debated, both within and outside of BCA. But even if a financial crisis can be avoided, bringing an end to the unsustainable credit boom will undoubtedly have significant consequences for the Chinese economy and the emerging economies that trade with it. Interest Costs To Rise Globally, many are concerned about rising interest costs as interest rates normalize over the coming years. In Appendix Charts II-19 to II-21, we provide interest-cost simulations for selected government, corporate and household sectors under three interest-rate scenarios. The good news is that the starting point for interest rates is still low, and that it takes years for the stock of outstanding debt to adjust to higher market rates. Even if rates rise by another 100 basis points, interest burdens will increase but will generally remain low by historical standards. It would take a surge of 300 basis points across the yield curve to really ‘move the needle’ in terms of interest expense. This does not imply that the global debt situation is sustainable or that a financial crisis can be easily avoided. The next economic downturn will probably not be the direct result of rising interest costs. Nonetheless, elevated government, household and/or corporate leverage has several important long-term negative implications: Limits To Counter-Cyclical Fiscal Policy: Government indebtedness will limit the use of counter-cyclical fiscal policy during the next economic downturn. Chart II-18 highlights that structural budget deficits and government debt levels are higher today compared to previous years that preceded recessions. The risk is especially high for emerging economies and some advanced economies (such as Italy) where investors will be unwilling to lend at a reasonable rate due to default fears. Even in countries where the market still appears willing to lend to the government at a low interest rate, political constraints may limit the room to maneuver as voters and fiscally-conservative politicians revolt against a surge in budget deficits. This will almost certainly be the case in the U.S., where the 2018 tax cuts mean that the federal budget deficit is likely to be around 6% of GDP in the coming years even in the absence of recession. A recession would push it close to a whopping 10%. Even in countries where fiscal stimulus is possible, the end of the Debt Supercycle means that the monetary and fiscal authorities will find it difficult to encourage the private sector to spend and take on more debt. Growth Headwinds: The debt situation condemns the global economy to a slower pace of trend growth in part because of weaker capital spending. From one perspective this is a good thing, because spending financed by the excessive use of credit is unsustainable. Still, deleveraging has much further to go at the global level, which means that spending will have to be constrained relative to income growth. The IMF estimates that deleveraging in the private sector for the advanced economies is only a third of historical precedents at this point in the cycle. The IMF also found that debt overhangs have historically been associated with lower GDP growth even in the absence of a financial crisis. Sooner or later, overleveraged sectors have to retrench. Vulnerability To Negative Shocks: If adjustment is postponed, debt reaches levels that make the economy highly vulnerable to negative shocks as defaults rise and lenders demand a higher return or withdraw funding altogether. IMF work shows that economic downturns are more costly in terms of lost GDP when it is driven or accompanied by a financial crisis. This is particularly the case for emerging markets. Bottom Line: Although credit growth has been subdued in most major advanced economies, there has been little deleveraging overall and debt-to-GDP is still rising at the global level. Elevated debt levels are far from benign, even if it appears to be easily financed at the moment. It acts as dead weight on economic activity and makes the world economy vulnerable to negative shocks. It steals growth from the future and, in the event of such a shock, the lack of a fiscal buffer in most countries means that it will be difficult or impossible to provide fiscal relief. The end of the Debt Supercycle means that the monetary and fiscal authorities will find it difficult to encourage the private sector to spend in most cases. For EM, deleveraging has not even started and more financial fireworks seem inevitable in the context of a strong dollar and rising global yields. China may avoid a crisis, but the adjustment to a less credit-driven economy is already proving to be a painful process. Mark McClellan Senior Vice President The Bank Credit Analyst APPENDIX Chart II-19Corporate Interest Cost Scenarios   Chart II-20Government Interest Cost Scenarios   Chart II-21U.S. Household Sector Interest Cost Scenarios​​​​​​​​​​​​​​​​​​​​​ 1      Please see BCA U.S. Investment Strategy Special Report "The Bane Of Investors’ Existence: Why Is Correlation High And When Will It Fall?" dated January 4, 2012, available at usis.bcaresearch.com. Also see BCA Global ETF Strategy Special Report "The Passive Menace," dated September 13, 2017, available at etf.bcaresearch.com 2       We use only below average returns in the calculation of volatility (downside volatility) because we are more concerned with the risk of equity market declines for the purposes of this model. 3       The LCR requires a large bank to hold enough high-quality liquid assets to cover the net cash outflows the bank would expect to occur over a 30-day stress scenario. The NSFR complements the LCR by requiring an amount of stable funding that is tailored to the liquidity risk of a bank’s assets and liabilities, based on a one-year time horizon. 4       Structural Changes in Banking After the Crisis. CGFS Papers No.60. Bank for International Settlements, January 2018. 5       Shadow Banking and Capital Markets Risks and Opportunities. Group of Thirty. Washington, D.C., November 2016. 6       Back to the Future: 2007 to 2030. Are New Financial Risks Foreshadowing a Systemic Risk Event? Global Risk Institute. 7       For more details on public and private debt trends, please see BCA Special Report "The End Of The Debt Supercycle: An Update," dated May 11, 2016, available at bca.bcaresearch.com 8       Please see BCA Emerging Markets Strategy Weekly Report "2019 Key Views: Will The EM Lost Decade End With A Bang Or A Whimper?" dated December 6, 2018, available at ems.bcaresearch.com

Overweight Though it may be hard to see in the top panel of our chart amidst a spectacular long-term fall from grace, the S&P industrial conglomerates index has been outperforming for the past week. At first glance, much of the credit for this bounce can be given to GE which has seen even the longest term sell-side bears throwing in the towel and turning positive. However, GE is no longer the dominant name in industrial conglomerates; at only 21.5% of the market cap weight of the S&P industrial conglomerates index, it ranks below both MMM and HON which together account for more than two-thirds. As such, any outperformance would have to be broad based, as it has been since the beginning of December. Considering how valuations have contracted, this is of little wonder. The S&P industrial conglomerates index is a full standard deviation below fair value according to our Valuation Indicator (second panel) while our Technical Indicator (bottom panel) shows the index to still be exceptionally oversold. Bottom Line: The pessimism baked in to the S&P industrial conglomerates index is out of proportion. We reiterate our valuation-driven overweight recommendation. The ticker symbols for the stocks in this index are: BLBG: S5INDCX - GE, MMM, HON, ROP. ​​​​​​​