Saltar al contenido principal
Saltar al contenido principal

Estados Unidos

Underweight Late-2013 saw all the right economic conditions moving in favor of insurers: the economy was entering a soft patch, the yield curve was flattening and the U.S. dollar was gaining momentum. The insurance market began hardening and the industry went on a hiring spree to capitalize on a much improved outlook (second panel). With the exception of the yield curve, those macro conditions reversed in 2017; the economy is booming, the dollar bull market has paused and BCA expects at least a modest yield curve steepening in the coming months (third panel). However, the insurers index has performed in line with the broad market so far this year (top panel). The hard pricing market of the past three years has recently turned flaccid (bottom panel) and organic revenue growth should soften. Meanwhile, sector employment remains elevated, implying weakening margins. In the context of the S&P 500 growing earnings by low-double digits, the insurers index should underperform. Stay underweight. The ticker symbols for the stocks in this index are: BLBG: S5INSU - AIG, CB, MET, MMC, PRU, TRV, AFL, AON, ALL, PGR, WLTW, HIG, PFG, L, CINF, LNC, XL, AJG, UNM, TMK, AIZ.
Highlights Chart 1Too Close For Comfort The Fed is in the midst of tightening policy, but with inflation still below target it wants to ensure that overall policy settings remain accommodative. In the language of central bankers, the Fed wants to keep the real fed funds rate below its equilibrium level, the level that applies neither upward nor downward pressure to price growth. The equilibrium fed funds rate cannot be calculated with precision, but one popular estimate shows that policy settings are dangerously close to turning restrictive (Chart 1). While an announcement of balance sheet reduction is almost certain to occur next month, with the real fed funds rate so close to neutral, rate hikes are probably on hold until the gap widens. Higher inflation will widen the gap by causing the real fed funds rate to fall, and we are confident that core inflation will rise in the coming months (see page 11 for further details). This will permit the Fed to deliver more than the currently discounted 28 bps of rate increases during the next 12 months. Feature Investment Grade: Overweight Chart 2Investment Grade Market Overview Investment grade corporate bonds outperformed the duration-equivalent Treasury index by 60 basis points in July, bringing year-to-date excess returns up to 209 bps. The financial press is littered with stories highlighting extremely unattractive corporate bond valuations, but we think this storyline is exaggerated. In fact, the average spread on the Bloomberg Barclays corporate bond index is somewhat wider than is typically observed in the early stages of a Fed tightening cycle (Chart 2). We calculate that in the early stages of the prior two Fed tightening cycles (February 1994 to July 1994 & June 2004 to December 2005), the index option-adjusted spread averaged 86 bps and traded in a range between 66 bps and 104 bps.1 Viewed in this context, the current spread of 102 bps looks somewhat cheap. That being said, corporate balance sheet health is worse than is typically seen during the early stages of a tightening cycle and this will limit spread compression from current levels. But all in all, excess returns to corporate bonds should be consistent with carry during the next 6-12 months, with higher inflation and tighter Fed policy being pre-conditions for material spread widening. In a recent report2 we showed that bank bonds (both senior and subordinate) still offer a spread advantage compared to other similarly risky sectors (Table 3). Banks also continue to make progress shoring up their balance sheets and the outlook for bank profits is starting to brighten. Table 3ACorporate Sector Relative Valuation And Recommended Allocation* Table 3BCorporate Sector Risk Vs. Reward* High-Yield: Overweight Chart 3High-Yield Market Overview High-Yield outperformed the duration-equivalent Treasury index by 83 basis points in July, bringing year-to-date excess returns up to 448 bps. The index option-adjusted spread tightened 12 bps to end the month at 352 bps, 8 bps above the 2017 low. We calculate that in the early stages of the prior two Fed tightening cycles (February 1994 to July 1994 & June 2004 to December 2005), the index option-adjusted spread averaged 342 bps and traded in a range between 259 bps and 394 bps. This puts the current junk spread almost in line with the average witnessed during other similar monetary environments. In contrast, the VIX index, which co-moves with junk spreads (Chart 3), is well below levels seen during the early stages of the prior two tightening cycles. The VIX currently sits at 10, and its historical range in similar monetary environments is between 11 and 17, with an average of 13.3 In this way, there would appear to be more room for investment grade corporate bond spreads to tighten than junk spreads, especially on a volatility-adjusted basis. Despite somewhat more stretched valuations than in investment grade, high-yield still offers reasonable compensation relative to expected defaults. At present, our estimated default-adjusted spread is 206 bps, only slightly below its historical average (panel 3). This is based on an expected default rate of 2.8% during the next 12 months and an expected recovery rate of 48% (bottom panel). MBS: Underweight Chart 4MBS Market Overview Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 24 basis points in July, bringing year-to-date excess returns up to 4 bps. The conventional 30-year MBS yield declined 3 bps in July, as a small 1 bp increase in the rate component was offset by a 4 bps tightening of the option-adjusted spread (OAS). The compensation for prepayment risk (option cost) held flat. Index OAS has been in a widening trend since bottoming at 15 bps last September (Chart 4). Since then, MBS have returned 43 bps less than duration-equivalent Treasury securities. The Bloomberg Barclays Aaa-rated Credit index has outperformed Treasuries by 71 bps during that same timeframe. The back-up in OAS reflects, in large part, the market pricing in the upcoming wind-down of the Fed's balance sheet, set to be announced next month. However, we think OAS still have further to widen to catch up with the rising trend in net issuance. According to Flow of Funds data, net MBS issuance totaled $83 billion in the first quarter. If that pace continues for the rest of the year, then 2017 will be the strongest year for MBS issuance since 2009. While higher mortgage rates since the end of 2016 present a drag, at least so far, home sales have not shown much weakness (bottom panel). This is unlike the 2013 taper tantrum when home sales fell sharply following the surge in rates. We are underweight MBS on the expectation that the housing market will remain resilient in the face of higher rates, allowing issuance to continue its uptrend. However, we are closely tracking the spread advantage in MBS compared to Aaa-rated credit which is finally starting to look attractive (panel 3). Government-Related: Underweight Chart 5Government-Related Market Overview The Government-Related index outperformed the duration-equivalent Treasury index by 42 basis points in July, bringing year-to-date excess returns up to 149 bps. Sovereigns and Local Authorities outperformed the Treasury benchmark by 81 bps and 112 bps, respectively. The low-beta Supranational and Domestic Agency sectors each outperformed by 5 bps. The Foreign Agency sector outperformed the duration-matched Treasury index by 56 bps. USD-denominated sovereign bonds have underperformed the Baa-rated U.S. Corporate index (their closest comparable in terms of risk) during the past three months even though the U.S. dollar has continued its trend lower (Chart 5). But despite this recent underperformance, the Sovereign index still does not offer a spread advantage over the Baa-rated U.S. Corporate index (panel 3). Further, while our Emerging Markets Strategy service still looks favorably upon the Mexican peso relative to other emerging market currencies, it does not expect the peso to continue its recent appreciation versus the U.S. dollar.4 We share this opinion, and expect the broad trade-weighted dollar to appreciate as U.S. growth rebounds in the back-half of the year.5 In our cross-sectional model, which adjusts spreads for credit rating and duration. Local Authorities and Foreign Agencies continue to look attractive compared to most U.S. corporate sectors. In contrast, the Sovereign and Supranational sectors appear expensive. Municipal Bonds: Underweight Chart 6Municipal Market Overview Municipal bonds outperformed the duration-equivalent Treasury index by 38 basis points in July (before adjusting for the tax advantage). Munis have outperformed the Treasury benchmark by 186 bps year-to-date. The average Municipal / Treasury (M/T) yield ratio fell 2% in July, breaking below 85%. The average yield ratio remains extremely tight relative to its post-crisis trading range (Chart 6). There is more compensation available at the long-end of the muni curve than at the short-end (panel 2), and investors should continue to favor long maturities over short maturities on the Aaa Muni curve. Our early estimate, based on the recently released second quarter National Accounts data, shows that state & local government net borrowing probably moved higher in Q2 (panel 3), making the recent decline in yield ratios appear even more tenuous. The increase in net borrowing stems largely from a $21 billion drop in income tax revenues and a $20 billion decline in transfer receipts from the federal government. Income tax revenue should recover in the next two quarters,6 and we expect net borrowing will also start to decline. However, it is unlikely that net borrowing will fall by enough to justify current muni valuations. On July 6, the state House of Illinois overrode Governor Bruce Rauner's veto to finally pass a $36 billion budget. The move was sufficient for Moody's and S&P to both subsequently affirm the state's investment grade rating. The 10-year Illinois General Obligation bond yield declined 102 bps on the month, despite only a 1 bp drop in the 10-year Treasury yield. Treasury Curve: Favor 5-Year Bullet Over 2/10 Barbell Chart 7Treasury Yield Curve Overview The Treasury curve bull steepened in July. The 2/10 slope steepened 3 bps and the 5/30 slope steepened 10 bps. We currently recommend two tactical trades designed to profit from movements in the Treasury curve. First, we have been recommending a short position in the July 2018 fed funds futures contract since July 11.7 From current levels, we calculate this trade will deliver an un-levered return of 28 bps if there are two hikes between now and then, and 53 bps if there are three hikes. Our second recommendation is a long position in the 5-year bullet versus a short position in a duration-matched 2/10 barbell, a trade designed to profit from a steepening of the 2/10 yield curve. It remains our view that inflation and inflation expectations, and not Fed tightening, are the main determinants of the slope of the yield curve. We expect the 2/10 slope to steepen as inflation rebounds during the next few months. Two weeks ago we published a Special Report 8 that explained our rationale for taking views on the slope of the curve using butterfly trades. It also explained our butterfly spread valuation model, and how we use that model to determine how much steepening/flattening is currently discounted in the yield curve. According to our model, the curve is priced for 9 bps of 2/10 steepening during the next six months (Chart 7). Our recommended butterfly trade will earn positive returns if the curve steepens by more than that. TIPS: Overweight Chart 8TIPS Market Overview TIPS outperformed the duration-equivalent nominal Treasury index by 39 basis points in July. The 10-year TIPS breakeven inflation rate rose 9 bps on the month and, at 1.8%, it remains well below its pre-crisis trading range of 2.4% to 2.5%. Core inflation has moved sharply lower since February, but the fact that our Phillips Curve model of core inflation has not rolled over makes us inclined to view the downtrend as transitory. Also, during the past few weeks we have seen some preliminary signs that inflation is on the cusp of rebounding. Year-over-year core PCE inflation ticked higher in June for the first time since January. The PCE diffusion index, which has a good track record capturing near-term swings in core PCE, moved sharply higher (Chart 8). The prices paid components of the ISM manufacturing and non-manufacturing surveys increased from 55 to 62 and from 52.1 to 52.7, respectively, in July. We expect stronger realized inflation will lead TIPS breakevens higher during the next few months. However, even in a scenario where core inflation fails to rebound, the downside in breakevens from current levels is limited. The reason is that if inflation remains very low, the Fed will most likely refrain from hiking rates in December. Such a dovish capitulation from the Fed would put upward pressure on breakevens at the long-end of the curve. We discussed this possible scenario in more detail in a recent report.9 ABS: Overweight Chart 9ABS Market Overview Asset-Backed Securities outperformed the duration-equivalent Treasury index by 5 basis points in July, bringing year-to-date excess returns up to 59 bps. The index option-adjusted spread for Aaa-rated ABS held flat on the month, and remains well below its average pre-crisis level. The Federal Reserve released its Q2 Senior Loan Officer Survey last week. It showed that credit card lending standards moved back into "net tightening" territory after having eased the previous quarter (Chart 9). Auto loan lending standards tightened on net for the fifth consecutive quarter. Tightening lending standards are usually a response to deteriorating credit quality, and thus tend to correlate with higher losses and wider spreads. In that regard, net loss rates for auto loans continue to trend higher, and Moody's data show that the cumulative loss rate for prime auto loans originated in 2017 is worse than for any vintage since 2009, for loans with the same age. Conversely, the mild tightening in credit card lending standards has so far not translated into rising charge-offs (Chart 9), but the situation bears close monitoring. For now, we are content to remain overweight ABS given the attractive spread pick-up compared to other similarly risky sectors. However, we also recommend investors favor Aaa-rated credit cards over Aaa-rated auto loans, even though auto loans now once again offer an attractive spread differential, after adjusting for differences in duration and spread volatility (panel 3). Non-Agency CMBS: Underweight Chart 10CMBS Market Overview Non-agency Commercial Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 39 basis points in July, bringing year-to-date excess returns up to 96 bps. The index option-adjusted spread for non-agency Aaa-rated CMBS tightened 4 bps on the month, and remains below its average pre-crisis level. The Fed's Q2 Senior Loan Officer Survey showed that lending standards for all classes of commercial real estate (CRE) loans tightened, on net, for the eighth consecutive quarter. The survey also reported that demand for CRE loans is on the decline (Chart 10). The combination of tighter lending standards and weak loan demand suggests that credit concerns continue to mount in the private CMBS space. Agency CMBS: Overweight Agency CMBS outperformed the duration-equivalent Treasury index by 11 basis points in July, bringing year-to-date excess returns up to 65 bps. The average option-adjusted spread for the Agency CMBS index held flat on the month but, at 49 bps, the sector continues to look attractive compared to other similarly risky alternatives.10 Not only does the sector offer attractive spreads, but the agency guarantee and the lower delinquency rate in multi-family loans compared to other CRE loans (panel 5) makes its risk/reward profile particularly appealing. Treasury Valuation Chart 11Treasury Fair Value Models The current reading from our 2-factor Treasury model (which is based on Global PMI and dollar sentiment) places fair value for the 10-year Treasury yield at 2.62% (Chart 11). Our 3-factor version of the model, which also includes the Global Economic Policy Uncertainty Index, places fair value at 2.63%. The U.S. PMI bounced back in July, after having trended lower for most of this year. The Chinese PMI also increased last month, while the Eurozone reading moderated somewhat from a very high level (panel 4). Overall, the Global PMI came in at 52.7 in July, up from 52.6 in June. Bullish sentiment toward the U.S. dollar has also fallen sharply in recent weeks (bottom panel). Bearish dollar sentiment in an environment of expanding global growth sends a very bond-bearish signal. It means that the entire world is participating in the global expansion and any increase in Treasury yields is less likely to be met with an influx of foreign buying. For further details on our Treasury models please refer to the U.S. Bond Strategy Weekly Report, "The Message From Our Treasury Models", dated October 11, 2016, available at usbs.bcaresearch.com At the time of publication the 10-year Treasury yield was 2.26%. Ryan Swift, Vice President U.S. Bond Strategy rswift@bcaresearch.com Alex Wang, Research Analyst alexw@bcaresearch.com 1 Range calculated using monthly data, specifically the final day of each month. 2 Please see U.S. Bond Strategy Weekly Report, "Summer Snapback", dated July 11, 2017, available at usbs.bcaresearch.com 3 Ranges for junk spread and VIX calculated using monthly data, specifically the final day of each month. 4 Please see Emerging Markets Strategy Weekly Report, "The Case For A Major Top In EM", dated July 12, 2017, available at ems.bcaresearch.com 5 Mexico carries the largest weight in the Sovereign index, accounting for 23% of market cap. 6 Please see U.S. Bond Strategy Weekly Report, "Will The Fed Stick To Its Guns?", dated May 16, 2017, available at usbs.bcaresearch.com 7 Please see U.S. Bond Strategy Weekly Report, "Summer Snapback", dated July 11, 2017, available at usbs.bcaresearch.com 8 Please see U.S. Bond Strategy Special Report, "Bullets, Barbells And Butterflies", dated July 25, 2017, available at usbs.bcaresearch.com 9 Please see U.S. Bond Strategy Weekly Report, "Three Scenarios For Treasury Yields In 2017", dated June 20, 2017, available at usbs.bcaresearch.com 10 Please see U.S. Bond Strategy Weekly Report, "Risk Rally Extended", dated June 27, 2017, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation Total Return Comparison: 7-Year Bullet Versus 2-20 Barbell (6-Month Investment Horizon)
Informe especial Highlights Over the years, BCA has created numerous macro (and other) indicators and models to forecast U.S. equity markets. These models are designed to include both cyclical and structural cycles, i.e. mini-cycles within longer-term trends. Feature Recently, we have been inundated by client requests to update these indicators, which has spurred us to put together this Special Report (there will also be a Part II in the near future). We compiled the most sought after Indicators in one place (accessible also from BCA's EDGE platform for seamless continual updates) and used three time horizons: tactical (1-3 months), cyclical (3-12 months) and structural (1-3 years). Historically, sentiment-based high-frequency indicators have done an excellent job in forecasting the tactical outlook (top panel, Chart 1). By cyclical backdrop, we refer to the mini-equity market cycles and sub-surface sector rotations within the business cycle (middle panel, Chart 1).Finally, we reserved the structural time horizon for forecasting the end/beginning of the business cycle (i.e. commencement or ending of recession, bottom panel, Chart 1). Chart 1 This Special Report is split into three time frame-driven sections: tactical, cyclical and structural. Within each time horizon, we provide a brief description of each Indicator, the rationale behind it, and comment on the Indicator's current signal. This White Paper of overall equity market indicators and models is by no means exhaustive. Rather, it represents a roadmap of Indicators we track to gauge the direction of equity markets in all three time frames. We trust you will find this Special Report useful and insightful. Anastasios Avgeriou, Vice President U.S. Equity Strategy & Global Alpha Sector Strategy anastasios@bcaresearch.com Dulce Cruz, Senior Analyst dulce@bcaresearch.com Tactical Indicators (1-3 months) BCA Complacency-Anxiety Index BCA's Complacency-Anxiety index tracks the bullish/bearish equity market sentiment. It includes the CBOE's VIX index, the S&P 500 put/call ratio, bull/bear ratio and the emerging markets high yield bond spread. When this indicator nears one standard deviation above the historical mean, greed takes over. When it falls to one standard deviation below the mean, fear dominates markets. Currently, complacency reigns (Chart 2). Chart 2 BCA Equity Speculation Index The BCA Equity Speculation Index (ESI) measures the speculative activity in the stock market incorporating measures of leverage, sentiment, valuation and supply. The leverage component includes margin debt and security credit; the sentiment component is a composite of sentiment measures; valuation includes the proprietary BCA Secular Valuation Index (not shown); and finally the supply component measures the supply of new issues and secondary offerings. Presently, the ESI signals that the equity market advance is at a very high risk stage. However, the chart shows that the ESI can stay in elevated territory for a prolonged period, as occurred in 2014/2015, before a correction unfolds (bottom panel, Chart 2). Volatility-Adjusted Valuation Metrics (Part I) Chart 3 shows the price-to-earnings (P/E) ratio (12-month forward and cyclically adjusted P/E) and momentum (year-over-year percentage change) of S&P 500 index adjusted for volatility. While we prefer not to use valuations as stock market timing tools, currently, the reward/risk tradeoff of the volatility-adjusted P/E multiple is more than two standard deviations above normal, implying market mania. We would note that this is driven by record low volatility (see the Complacency-Anxiety Index above) rather than extreme valuations. Chart 3 Volatility-Adjusted Valuation Metrics (Part II) Chart 4 shows the high yield corporate bond total return index controlled for the bond market's volatility. The message in both the equity and bond market is clear: we are in stretched territory, near a level that has historically led to a mean reversion phase. Chart 4 Equity And Bond Market Volatility Curves CBOE 3-Month Volatility Index / 30-Day Volatility Index (VXV/VIX) is a technical indicator that moves in lockstep with stock prices. When the volatility market is in steep contango, complacency reigns and vice versa. Similarly, when the 3-Month Merrill Lynch bond market volatility (MOVE) index is higher than the front MOVE index, euphoria is evident. When this volatility curve flips to backwardation, panic grips markets. At the current juncture, waters are calm both in the equity and bond markets (Chart 5). Chart 5 TED Spread Vs. VXO Index TED spread is the difference between the three-month LIBOR and the three-month T-bill interest rate. The TED spread is an indicator of perceived credit risk in the economy. The VXO is volatility on the S&P 100. These indexes tend to move in tandem, but steep divergences do occur from time-to-time, during which the TED spread has leading properties and tends to exert pull on the VXO. Currently, both measures of risk are quiet (Chart 6). Chart 6 CBOE SKEW Index / VIX Index The SKEW index (tail risk measure), controlled for the VIX, has an excellent track record in forecasting market corrections. This indicator has risen above 12, warning that at least a tactical pullback is near at hand (Chart 7). In contrast, when this relative risk measure plunges below 5, a buying opportunity in equities emerges. Chart 7 Currency Implied Volatility Currency implied volatility is an average of Yen, Euro and Sterling (all versus the U.S. dollar) 3-month option implied volatility. Chart 8 shows the S&P 500 Index and currency volatility are inversely correlated, reflecting the impact of currency swings on policy decisions and corporate competiveness/profits. Presently, this measure of volatility is calm. Chart 8 AUD/JPY Historically, the AUD/JPY FX cross does an excellent job in tracking risk-on/risk-off phases in the equity market. Investors use the zero-yielding Yen as a funding currency and buy the higher yielding Australian dollar in order to generate a positive carry. In times of duress, investors scramble to repatriate Yen and shed Australian dollars and vice versa. Also the "Aussie" in general is a great China/commodity indicator that rises when the global economy picks up steam. The growth sensitive AUD/JPY cross rate has picked up recently, sending a positive signal (Chart 9). Chart 9 BCA Equity Market Internal Dynamics Indicator The BCA Equity Market Internal Dynamics Indicator (shown as an equally weighted z-score) comprises relative bank and transports performance, the small/large ratio and industrials/utilities (or cyclicals/defensives), and captures shifting internal forces that drive market returns. It is a coincident-to-leading market indicator. Currently, this economically sensitive indicator signals that the broad equity market may suffer a setback (Chart 10). Chart 10 BCA's U.S. Sell-Off Indicator BCA's Sell-Off Indicator is a composite of market-based measures of risk appetite that are regularly featured in our Weekly Reports, including credit spreads, currencies, government bond yields and cyclical and defensive equities. This market-based measure of risk appetite is not sending any warning signals yet. Financial Conditions Index The Financial Conditions Index tracks the overall level of financial stress in the money, bond, and equity markets to help assess the availability and cost of credit. A positive value indicates accommodative financial conditions, while a negative value indicates tighter financial conditions. Financial conditions have been easing recently, underpinning the broad equity market (Chart 11). Chart 11 5Y/5Y CPI Swap Forward Rate This is a measure of expected inflation over the five-year period that begins five years from today. Historically, equity markets have been positively correlated with this inflation expectation measure and the current fall in the latter suggests that equities are fully priced (Chart 12). Chart 12 Confirming Equity Indicator The Confirming Equity Indicator (CEI) is a composite of economic data that has provided useful validation for broad equity market trends, and it was designed so that a positive reading is generally bullish while a negative reading is bearish. The CEI is well into bullish territory; more recently, the economic variables in the model have firmed, providing an additional lift to our CEI (Chart 13). Chart 13 BCA Investor Sentiment Composite This gauge comprises surveys of traders, individuals and investment professional sentiment. The sentiment indicator shows the percent of bulls. When the majority is optimistic, the equity market is nearing a peak. Conversely, when psychology is pessimistic, prices are near a low. Bullish individual investor sentiment has also eclipsed the 50% zone in advance of the two largest post-GFC drawdowns. Individual investors are currently upbeat, though not so much that we are concerned (Chart 14). Chart 14 S&P 500 Measures Of Breadth The Advance/Decline line and the net new highs indicator (the difference between stocks at their 52-week high and those at their low) are measures of market breadth. The technical backdrop is positive when breadth and prices are rising. Conversely, weakness in breadth, i.e. a loss of market participation, heralds lower prices. In contrast, the proportion of sub-indexes with a positive 52-week rate of change and/or trading above their 40-week moving average remain well above 60% (Chart 15). Our breadth indicators are currently positive. Chart 15 Cyclical Indicators (3-12 months) BCA Intermediate Equity Indicator Our Intermediate Equity Indicator (IEI) is designed to help anticipate intermediate term trends (3 to 6 months and rises or falls of at least 10%) with the primary bull and bear markets. Buy signals are generated by the indicator rising substantially above 1 while sell signals are generated by declines below zero. The IEI remains near bullish territory (Chart 16). Chart 16 BCA Cyclical Macro Indicator Our broad equity market Cyclical Macro Indicator (CMI) is a mix of fundamental macro and financial variables that lead profits, and has tracked the S&P 500 for the past two and half decades. The CMI is used as a check, rather than as a definitive catch-all, because every business cycle has unique characteristics (Chart 17). Chart 17 BCA Valuation Indicator Our VI is based on P/E, Price/Sales, Price/Dividends and Price/Book. It is currently at one standard deviation above the historical mean (Chart 17) which would typically signal a pullback is near at hand. We would caution that valuations can remain extended for prolonged periods and the one standard deviation level is not necessarily a trigger point. BCA Technical Indicator Our TI is driven primarily by momentum components, gauges the trend in equities and determines if the market is at an extreme in terms of momentum or investor psychology. Overbought conditions are signaled once it hits one standard deviation above the mean. Currently, the TI remains slightly below this threshold. Importantly, when the TI swings quickly from deeply oversold to overbought levels, there can be a multi month lead before the broad market crests or suffers a sustained setback, and the bulk of those moves are associated with economic recessions and/or growth disappointments (Chart 17). U.S. Equity Capitulation Indicator Our Equity Capitulation Indicator (comprising measures of equity breadth, trader sentiment, insider Sell/Buy ratio and momentum) is used to predict cyclical equity turning points. A reading above the zero line is positive for equity markets. When this Indicator plunges to -1 or lower, capitulation is evident. Currently, this proprietary Indicator says there is no capitulation (Chart 18). Chart 18 U.S. S&P 500 Earnings Growth Diffusion Index The S&P 500 Index earnings growth diffusion index is based on the percentage of equity subsectors with an improving 12-month forward earnings growth figure compared with the prior year. At the current juncture, this diffusion index is pointing to a broad-based brightening profit backdrop, underpinning an equity melt-up phase (Chart 19). Chart 19 Global Equity Market EPS Diffusion Index The Global Equity Market EPS Diffusion Index comprises 44 country (DM and EM) forward EPS and gauges the percentage of countries that are experiencing negative year-over-year EPS growth. Chart 20 shows this index on an inverted scale: as fewer and fewer regions have contracting forward EPS, global equity prices tend to rise and vice versa. Currently, a synchronized EPS recovery is unfolding, heralding more gains for the overall equity market. Chart 20 U.S. M&A Number Of Deals U.S. merger & acquisition activity usually moves with the ebb and flow of equity markets. High stock prices, low interest rates and high valuations are a boon for M&A. The opposite is also true. Presently, the number of M&A deals has rolled over, and this coincident indicator is waving a yellow flag for the U.S. equity market (Chart 21). Chart 21 Global Equities Cross Correlation Index BCA's Global Equities Cross Correlation Index is based on an equally weighted average of 26-week pairwise moving correlation of weekly returns between the S&P 500, EUROSTOXX 600, TOPIX and MSCI emerging market stock price indexes. Receding global equity index correlations have been associated with positive S&P 500 returns, as is currently the case (Chart 22). This inverse correlation is also mirrored in the CBOE's implied correlation index, which tracks the correlation of the S&P 500 stocks with one another: tumbling correlations imply solid overall equity returns (not shown). Chart 22 U.S. S&P 500 Cyclical / Defensives Cyclical sectors include materials, energy, industrials and technology. Defensive sectors include telecom, consumer staples, health care and utilities. Chart 23 shows that, broadly speaking, the S&P 500 is positively correlated with the cyclicals/defensives (C/D) ratio. Currently, the C/D ratio has negatively diverged from the broad market warning that an indigestion phase may loom. Chart 23 Global Net Earnings Revisions Indicators Sell side analysts' forward net EPS revisions (NER, upward minus downward revisions as a percent of total revisions) are an excellent indicator of the stage of the profit cycle. Historically, regional NERs have been inversely correlated with the respective currencies with the exception of the EM index where the correlation is a positive one. In the EM a rising FX rate represents capital flowing back to those economies, and stocks, bonds and FX markets tend to all move together. In the DM, given increasingly foreign sourced profits, a rising currency caps EPS and vice versa. Currently, a synchronized global EPS revival is in order with the exception of the Eurozone (Chart 24). Chart 24 U.S. High-Yield Bond Yield, Option Adjusted Spread And Total Return Index The high yield bond market total return index has a positive correlation with equity markets as high yielding corporates are a good proxy for the overall stock market, while the high yield bond OAS is inversely correlated with stock prices. The bond market tends to sniff out equity market tops and bottoms. Currently, there is no trouble for equity markets according to this bond market indicator. However, spreads are getting extremely tight. A push to all-time lows in the global junk OAS would be a red flag (Chart 25). Chart 25 U.S. Corporate Bond Migration Index BCA's U.S. corporate bond migration index is calculated as the number of bond ratings downgrades minus upgrades by Moody's. Historically, credit quality and stock market momentum have been joined at the hip: the current message is to expect recent stock market euphoria to persist (ratings migration shown inverted, Chart 26). Chart 26 Economic Surprise Indexes A positive reading of the CITIGROUP Economic Surprise Index suggests that economic releases on balance beat expectations. The indexes are calculated daily in a rolling three-month window. Currently, the G10 is in a mini economic surprise soft patch with the U.S. leading the way and the EM as an exception, holding on to recent positive surprises (Chart 27). Chart 27 "Soft Data" Vs. "Hard Data" The so-called "soft data" surprise index comprises survey measures of economic activity: business and consumer surveys surprise indexes. The "hard data" index includes five surprise indexes: housing, industrial, labor, household and retail. Historically, the soft/hard (S/H) data index has been positively correlated with the S&P 500. Unsurprisingly, therefore, it remains near all-time high levels along with the S&P 500. The S/H index has been a leading-to-coincident indicator and as long as it avoids a collapse below the zero line, the equity market overshoot phase should remain intact (Chart 28). Chart 28 BCA Boom / Bust Indicator BCA's boom/bust indicator measures the ratio of a basket of commodity equities, the CRB Raw Industrials Index and unemployment claims. A move above zero signals that reflation is dominating global economies and represents fertile ground for equities. A fall below the zero line indicates that deficient demand and economic trouble are brewing, warning that investors should lighten up on equities. Currently, the boom/bust indicator is comfortably above zero, signaling that the equity blow off phase has more legs (Chart 29). Chart 29 Global Trade Activity Indicator Our Global Trade Activity Indicator (GTAI) comprises the Baltic Dry Index and lumber prices, two hypersensitive economic yardsticks, and gauges the stage of the global trade/inventory/export cycle. Historically, the GTAI has been an excellent leading indicator of global export volume growth, and the latest reading points to a reacceleration in global trade (Chart 30). Chart 30 Korean & Taiwanese Exports Taiwan and Korea are two small open economies, with net exports dominating GDP. Thus, export growth figures from these two countries are a microcosm of the state of the affairs of global trade. Exports in Korea and Taiwan are positively correlated with equity momentum. Currently, booming exports in both regions are a boon for U.S. equities (Chart 31). Chart 31 ISM New Orders-To-Inventories Ratio The ISM manufacturing new orders-to-inventories (NOI) ratio tends to lead the overall ISM manufacturing survey. When the ratio crosses below 1 it signals that economic strains exist. A move above 1 signals that end-demand is firing on all cylinders. Historically, the ISM NOI ratio has also been positively correlated with S&P 500 and the current message is that momentum in the latter should hold up (Chart 32). Chart 32 BCA U.S. Capital Spending Indicator BCA's U.S. Capital Spending Indicator (CSI) is a leading indicator of capital formation. The indicator comprises a labor market series, a measure of momentum in the broad equity market and a capex intention survey data series. Our CSI snapped back into positive territory early in 2016 and recently made fresh cyclical highs. A durable global capex revival is looming (Chart 33). Chart 33 G7 Policy Uncertainty Index The G7 policy uncertainty index is a GDP-weighted index of U.K., Germany, France, Italy, Japan, Canada, and U.S. policy uncertainty indexes, developed by Baker, Bloom & Davis. These indexes measure uncertainty of economic policy-making. Empirical evidence suggests that low G7 policy uncertainty underpins global equity performance. Similarly, surging policy uncertainty spells trouble for the broad equity market. Currently, global policy uncertainty has receded, heralding a fertile global equity market backdrop (Chart 34). Chart 34 BCA Bank Loans & Leases Growth Model Our U.S. bank loan growth model suggests that banks could enjoy the largest upswing in credit growth of the past 30 years. Soaring consumer and business confidence, rising corporate profits and a potential capital spending revival are the key model drivers (Chart 35). Chart 35 This matters for the broad equity market as a vibrant banking sector - representing the nervous system of the economy - is a necessary requirement for sustainable long term broad equity market gains. Global Credit Impulse The global credit impulse is calculated as a 12-month change of the annual percentage change in total global credit, using BIS data. Since the late-1970s there has been a tight positive correlation between BCA's global credit impulse and global EPS momentum. In fact, global loan creation has, more often than not, been an excellent leading indicator for global profit growth. Currently, our global credit impulse has surged signaling that the synchronized global EPS recovery remains intact (Chart 36). Chart 36 BCA's Global & Regional Earnings Growth Models Our global earnings model (comprising interest rates, oil prices, global manufacturing PMI and the U.S. dollar) has recently shown tentative signs of cresting, but that is at a high level and difficult year-over-year comparisons will only arise later this year, especially in the U.S. The bottom three panels of Chart 37 show our EPS models in the major regions of the world. All three regional EPS models are expanding. Chart 37 Margins, Financial Conditions & Monetary Indicator Our Margins, Financial Conditions & Monetary Indicators in Chart 38 demonstrate the close inverse relationship between the former and each of the two latter. Chart 38 Since mid-December, both the U.S. dollar and 10-year Treasury yields have fallen in tandem. As a result monetary conditions have eased, reversing the tightening that occurred in the second half of 2016. Further, the recent downswing in the U.S. Monetary Indicator is bullish for S&P 500 margins. S&P 500 40 Sector Cross-Correlation Index In Chart 39, we show an average of the pairwise 52- week moving correlations between 40 equity sectors using S&P return data starting in the late-1990s, alongside the S&P 500 (correlation index shown inverted). Usually, falling correlations imply diminished macro tail risks and earnings fundamentals coming to the forefront as the key driver of returns. Chart 39 Our 40 sector cross-correlation is currently in steep decline; the message is positive for the S&P 500. Equity Risk Premium In Chart 40, we show the near-perfect inverse correlation between changes in the Equity Risk Premium (ERP) and the ISM manufacturing index. The implication is that an improving economy is synonymous with a receding ERP and vice versa. We further show the average ERP's of the past 3 business cycles which are all well below the current cycle. Overall, declining ERP's are positive for the S&P 500; there appears to be considerable room for the ERP to fall and this indicator is bullish for the S&P 500. Chart 40 Global Synchronicity Indicator Our Global Synchronicity Indicator, presented in Chart 41, shows the degree to which a global economic revival is coordinated. Highly synchronized global growth implies a strong export market and domestic earnings growth. Chart 41 The indicator is currently reading nearly as high as possible as virtually all G20 economies are in expansion mode. Consumer Drag Indicator The Consumer Drag Indicator comprises mortgage rates and gasoline prices and is a strong indicator for consumer discretionary earnings (Chart 42). Chart 42 The drag indicator is currently very low, implying strong consumption resilience, which should translate into ongoing consumer discretionary EPS gains. Recreational Goods & Consumption Expenditure Recreational goods & vehicles represent the most cyclical corner of U.S. personal consumption expenditure (PCE), easily surpassing it during expansions, and significantly trailing it in times of distress (Chart 43). An upswing in spending in this segment indicates strong consumer confidence and heralds an increase in overall PCE. Currently, according to the BEA, recreational goods & vehicles outlays are expanding at a healthy clip, underscoring that overall PCE will likely rebound in the coming quarters. Chart 43 Unconventional Indicators (Part I) How can investors differentiate between a minor correction and a major trend change? We showcase several useful, but somewhat unconventional, indicators to monitor that have been helpful at past bull market peaks. None of these indicators are meant to be foolproof and/or a substitute for the valuation, profit and global economic and policy outlook. But they do provide additional tools to help investors distinguish between temporary and sustained equity market pullbacks. They are meant to augment rather than replace fundamental factors. Each of the indicators measures either: profits, business confidence, investor confidence and/or reflects how liquidity conditions are impacting market dynamics. Investor confidence can be measured through margin debt. While extremely elevated, there is no concrete sign that access to funds is being undermined by the modest backup in interest rates. When the cost of borrowing becomes too onerous, it will manifest in reduced margin debt and forced selling, which will be a serious threat to stocks given that leverage is challenging levels experienced at prior peaks, as a share of nominal income (Chart 44A). Chart 44A Unconventional Indicators (Part II) The relative performance of consumer discretionary to consumer staples can provide a read on purchasing power and/or the marginal propensity to spend. This share price ratio does not suggest any consumption concerns exist. If consumer staples begin to outperform, then it would warn of a more daunting economic outlook. Temporary employment continues to rise. When temp workers shrink, it is often an early warning sign that companies are entering retrenchment mode, given the ease and low cost of reducing this source of labor costs. If temporary employment falls at the same time as share prices, that would be a red flag. Current economic signals are mostly positive (Chart 44B). Chart 44B Pricing Power And Wage Growth Indicators Our corporate pricing power proxy compiles the relevant CPI, PPI, PCE or underlying commodity price for 60 S&P 500 industry groups. On a broad basis, growth in pricing power has slowed. On the flip side, rising labor costs look set to take a breather, with the net effect of modest margin expansion. Compensation growth has crested, and according to our diffusion index, fewer than half of the 18 industries tracked have higher wages than last year. The wage growth diffusion index provides a reliable leading indication for the trend in labor expenses. Overall, there are strong odds that resilient forward operating margin expectations can be met (Chart 45). Chart 45 BCA Reflation Gauge The RG is a combination of oil prices, Treasury yields and the U.S. dollar and has recently exploded to the highest level since 2010 and just shy of all-time highs. The RG leads both the U.S. economic surprise index and equity sentiment. If, as we expect, economic activity continues to accelerate, irrespective of tax reform success, the window is open for additional equity market gains (Chart 46). Chart 46 Total Returns: Stock-To-Bond The Stock-to-Bond (S/B) ratio is not signaling any trouble ahead. History shows that the time to worry about the bond market's message is when the S/B ratio contracts; the opposite is currently underway. Part of the decline in long-term interest rates reflects a slower expected pace of fed funds rate increases. The bond market doubts the FOMC's 2.125% interest rate estimate for 2018, forecasting a fed funds rate roughly 63bps lower. If the bond market is accurate and the Fed recalibrates its 18-month rate outlook even modestly lower, then the S/B ratio has more upside (Chart 47). Chart 47 Structural Indicators (1-3 years) U.S. Equity Net Debt/EBITDA & Interest Coverage Zero and negative interest rate policies have enticed CEOs to issue debt and retire equity (and increase dividend payments) and effectively change the capital structure of the firm over the past 7 years. Recently, net debt/EBITDA has reversed some of the significant increases of the past 5 years as earnings have been growing faster than leverage. Historically, net debt/EBITDA has been inversely correlated with the equity market; the current trend of declining leverage ratios is positive for equity markets (Chart 48). Chart 48 U.S. Dollar-Based Liquidity Indicator BCA's U.S. dollar-based liquidity is calculated as Federal Reserve assets plus foreign central bank U.S. government security purchases held by the Federal Reserve. When U.S. Treasurys are sold by Central Banks it represents a defacto tightening in global monetary conditions. Moreover, the Fed recently announced that it will likely commence renormalizing its balance sheet later this year, further tightening global monetary conditions. This matters most for EM that hold a large stock of hard currency debt. Why? Because historically a collapse in U.S. dollar based liquidity has been associated with a rise in the U.S. dollar. As a result, if such tightening goes unchecked then a traditional EM crisis is inevitable. Currently, U.S. dollar based liquidity has plunged to a level associated with recession, warning that the broad equity market rests on a shaky foundation especially given lofty valuations (Chart 49). Chart 49 BCA Credit Bust Indicator Using BIS data, we constructed a BCA Credit Bust Indicator by averaging and aligning seven previous non-financial corporate debt cycles at respective peaks, both in EM and DM. The common denominator in the four DM busts was a burst housing market bubble, while the three EM crises were related to currency devaluations. While Chart 50 shows that 17 EM non-financial corporate debt levels as a percentage of GDP have not yet reached the average of previous cycle busts, one important insight from our analysis is that it pays to get out of the stock market while the leverage cycle is still on the upswing, potentially leaving some money on the table, but protecting wealth from an inevitable crunch once the leverage cycle hits the point of economic instability. Chart 50 U.S./Eurozone 10-Year Sovereign Bond Spread The U.S./Eurozone 10-year sovereign bond spread has been an excellent leading indicator of the broad equity market, and the current message is to expect at least a tactical pullback. In fact, every time the spread has hit 100 basis points, relative bond market mean reversion has subsequently occurred, leading also to a broad equity market wobble (top panel, Chart 51). Chart 51 The rationale of this indicator is that Central Bank policy divergence is not sustainable for prolonged periods. Currently, the Fed is, with a few exceptions, going it alone and tightening monetary policy, while the ECB, BOJ and BOE are still extremely accommodative. If policy divergence continues, then the U.S. dollar will make a run to fresh all-time highs and will come to haunt equity markets via an EM accident. As Chart 50 shows, EM debt is quickly building and a spike in the U.S. dollar is destabilizing especially for the "fragile five" twin deficit economies that also have a hard currency debt burden to service. U.S. Yield Curve Corporate profits and the yield curve are joined at the hip. The yield curve is the ultimate leading indicator of revenue growth and earnings health, underscoring that EPS caution is warranted, especially when the yield curve inverts and signals that a recession is nearing. We are not there yet, but there are good odds that if the Fed continues to tighten monetary policy and lift rates near the neutral rate, the economy will suffer. Likely this is a late-2018 early-2019 narrative (Chart 52). Chart 52 Industrial Production Minus Money Supply A simple liquidity indicator (industrial production (IP) minus money supply growth) has had a tight positive correlation with EPS for decades. This indicator gauges how quickly money created gets translated into economic growth. Given the current state of affairs of recovering IP growth and decelerating M2 growth, a sustained profit recovery is in the cards in the back half of 2017 and in 2018 (Chart 53). Chart 53 Federal Reserve Bank Of Philadelphia Coincident U.S. State Activity Diffusion Index The coincident U.S. State activity diffusion index is a one-month diffusion index of state coincident indexes produced by the Federal Reserve Bank of Philadelphia. The index includes nonfarm payroll employment, the unemployment rate, average hours worked in manufacturing, the consumer price index, wages and salary disbursements and gross domestic product.1 Empirical evidence shows that every time this index falls through the 45% level the global equity market hits a wall as the odds of a U.S. recession skyrocket. While there have been some false positives over the past three decades, this diffusion index has a great track record in predicting recessions. Currently, the steep fall is a cause for concern, but until the 45% level is breached, the equity market will be smooth sailing (Chart 54). Chart 54 Federal Funds Rate In times of crisis, the Federal Reserve cuts the federal funds rate to stimulate demand and the economy. Similarly, when the economy is heating up and inflation is rising, the Fed raises rates to slow down economic activity. Historically, a peak in the fed funds rate has been an excellent leading indicator of recession. Chart 55 shows that since the early-1970s a tick down in the fed funds rate following a series of hikes signifies the end of the business cycle. There have been two false positives, once in the mid-1980s and one in the late-1990s. Chart 55 This June the Fed hiked for the fourth time this tightening cycle and more hikes are to follow according to the Fed's own estimates of interest rate projections into 2019. A reversal of interest rate policy will be significant and likely mark the end of the current business expansion. Stay tuned. BCA U.S. 10-Year Bond Valuation Index The Treasury market can provide clues as to when vulnerabilities in the equity market will intensify. According to BCA's Treasury Bond Valuation Model, yields usually need to be at least one standard deviation above normal before stocks, and the economy, are at risk of a major downturn (Chart 56). Chart 56 Global Auto Sales Indicator Global auto sales have tentatively peaked. While this indicator has been coincident at times, it has also correctly forewarned of global equity market peaks both in 2000 and 2007 (Chart 57). As a highly priced durable good, vehicle sales provide an excellent read on both consumer confidence and their ability/willingness to finance a long-term purchase. The implication of slowing sales is that some doubt about the rate of consumption growth will contribute to a higher equity risk premium. Nevertheless, the equity bull market should remain on track until consumer confidence takes a turn for the worse. Chart 57 GDP Growth Minus Treasury Yield GDP growth minus the Treasury yield is a simple yet reliable measure of excess liquidity. Bear markets have only typically occurred when this gauge downshifts into negative territory, given that slumping GDP usually coincides with a profit recession. Currently, nominal GDP growth is comfortably above the 10-year Treasury yield, signaling that financial conditions will stay sufficiently easy for some time, barring a major bond selloff (Chart 58). Chart 58 Cross-Sector Correlation Equity correlations have often led the business cycle. When correlations drop precipitously, recession warnings abound, with the notable exceptions of the mid-80s and mid-to-late-90s when commodity deflation (particularly energy) morphed into a mid-cycle economic slowdown, but the broad market stayed resilient because the economy skirted recession. While we are in the midst of a steep fall in correlations, we are not worried about a U.S. recession just yet. Instead, equities have likely navigated through a mid-cycle correction, as in the mid-80s and mid-to-late-90s (Chart 59). Chart 59 Long-Term Total Return/GDP Our long-term total return indicator inverts and advances market capitalization/GDP by 10-years, and plots that with 10-year rolling equity returns. The relationship indicates the economic growth the market is discounting into the future (Chart 60). Chart 60 The current soaring growth expectations mean that a volatile equity validation phase is inevitable. The timing is difficult to pinpoint, however, because momentum can be a powerful and seductive force. In other words, performance anxiety and fear of missing out are strong cyclical warning flags. 1 https://www.philadelphiafed.org/research-and-data/regional-economy/indexes/coincident/
This week's GDP report contained good news for domestic manufacturers; nonresidential fixed investment expanded at a 5.2% annualized rate in Q2, slower than the 7.2% expansion of Q1 but still well above the overall economy at 2.6%. The implication is that confidence in the U.S. economy is high enough that firms are increasingly deploying productive capital into their businesses. Loan growth cycles are typically synchronous with improved business sentiment which, in turn, coincides with firms feeling confident enough to expand the balance sheet. Accordingly, growth in capex and growth in bank loans move in lockstep (second, third and fourth panels). Pre-GFC, the financials index and capex/loan growth moved broadly together. The relationship has broken down, however, in the post-GFC world. We expect above-normal earnings growth in financials to eventually drive a renormalization of valuation multiples and the gap to close. We reiterate our overweight financials recommendation.
Highlights The neutral real rate of interest, R*, is low in most economies, and will only rise gradually over the coming years. Currency movements tend to dampen differences in neutral rates across countries. The fact that R* is higher in the U.S. will limit further downside risk for the dollar. While a variety of structural forces will cap the increase in the neutral real rate, the neutral nominal rate could rise more briskly as inflation picks up. As such, investors should reduce duration risk and increase exposure to inflation-linked securities. We are closing our long GBP/JPY trade for a gain of 9.9% and opening a new trade going short EUR/GBP. EUR/USD will trade in a range of $1.10-to-$1.20 over the next 6-to-9 months before moving lower in the second half of next year. Feature Where Is Neutral? As the global economy continues to recover, central banks are increasingly turning to the question of how to best normalize monetary policy. A key issue in this debate concerns the level of the neutral real rate of interest, commonly referred to as R*. If central banks raise rates too far above the neutral rate, growth could stall. If they don't raise rates enough, inflation could accelerate. The concept of the neutral rate is somewhat difficult to grasp, and we apologize in advance that this report is more abstract than what we are normally accustomed to writing. However, we think that readers who stick with the logic of the piece will be well rewarded with the practical implications that it provides. A Conceptual Framework In thinking about the neutral rate, it is worthwhile to recall the familiar macro identity which states that the difference between what a country saves and what it invests is equal to its current account balance.1 Since one country's current account surplus is another's deficit, globally, the current account balance must equal zero. This, in turn, implies that globally, savings must equal investment. What happens when desired global savings exceed desired investment? The answer is that interest rates will fall.2 Lower rates will incentivize firms to undertake more investment projects, while discouraging household savings. Investment will rise and savings will decline by just enough to ensure that the global savings-investment identity is satisfied. The discussion above aptly captures what happened to the global economy after the financial crisis. The desire of households to boost savings and firms to cut capital spending led to a sharp and sustained drop in the neutral rate. Those who understood this point back in 2010, when the 10-year Treasury yield briefly hit 4%, made a lot of money by being long bonds when most others were fretting about the inflationary effects of QE and large government budget deficits. The Exchange Rate As A Mitigating Force The ability of countries to export their excess savings abroad by running current account surpluses implies that the neutral rate has a large global component. To appreciate this point, consider a simple thought experiment. Suppose the global trading system completely breaks down and every country ends up with a trade balance of zero. For the sake of argument, let us ignore the immense economic dislocations that this would cause and focus simply on the arithmetic impact that this would have on aggregate demand. The U.S. trade deficit currently stands at $567 billion (3% of GDP). Getting rid of it would add about six million jobs. This would likely cause the economy to overheat, forcing the Fed to raise rates. In contrast, the German economy would fall into a deep recession if its €224 billion (7.1% of GDP) trade surplus vanished. The ECB would not be able to raise rates for years. Thus, in the absence of trade, the neutral rate would be higher in the U.S. and lower in the euro area. This simple thought experiment illustrates why the neutral rate partly depends on the value of a country's currency.3 If a country's currency strengthens, all things equal, its neutral rate will fall. The extent to which the currency appreciates will depend on how long the forces causing neutral rates to diverge across countries are expected to persist. In general, if the forces are more structural than cyclical in nature, currencies will adjust to a greater degree (Chart 1).4 Chart 1The Longer The Interest Rate Gap Persists, The Bigger The Exchange Rate Overshoot The discussion above helps make sense of currency movements over the past three years. A key reason the dollar began to strengthen against the euro in the second half of 2014 is that investors became convinced that the neutral rate in the U.S. would exceed that of the euro area for a very long period of time. The rally in the euro this year largely reflects a reappraisal of that view. Stronger euro area growth has convinced many investors that the neutral rate in the region may not be as low as previously imagined. The Outlook For The Neutral Rate The savings-investment balance provides a useful framework for thinking about how the neutral rate will evolve over the coming years. With this framework in mind, let us consider the various forces affecting the neutral rate and how they might change over time. The Debt Supercycle Today, almost 60% of Americans want to save more money according to a recent Gallop poll; before the financial crisis, that number was less than 50% (Chart 2). A slower pace of debt accumulation implies less spending and more desired savings. It is possible that households will become more willing to take on debt as the memories of the Great Recession fade. However, a return to the reckless lending standards of the pre-crisis period is unlikely. Thus, while the end of the deleveraging cycle in the U.S. will push up R*, it will remain low by historic standards. Globally, efforts to reduce leverage have been more halting. In fact, in many emerging markets, debt levels are higher today than in 2008 (Chart 3). This will weigh on R*. Chart 2Return To Thrift Chart 3EM Debt At All-Time Highs The "Amazonification" Of The Economy Chart 4Savings Heavily Skewed Towards Top Earners Technological progress is nothing new, but unlike past inventions which typically replaced man with machine, many of today's innovations appear to be reducing the need for both labor and physical capital.5 Companies like Amazon are laying waste to America's retail sector. Uber and Airbnb are providing ways to use the existing stock of capital more efficiently. Fewer shopping malls, taxis, and hotels means less investment, and less investment means a lower neutral rate. Inequality One of the distinguishing features of the "Amazon economy" is that it is dominated by a few winner-take-all firms. This has generated huge payoffs for their owners, but paltry returns for everyone else. While this is not the only trend fueling income inequality, it has certainly exacerbated it. Rising inequality redistributes income from households that tend to live paycheck-to-paycheck to those who save a lot (Chart 4). This increases aggregate desired savings, leading to a lower neutral rate. However, rising inequality may also generate a political backlash. Donald Trump's ability to take over the Republican party was partly driven by the disillusionment of Republican voters over the GOP's pro-business positions on issues such as immigration and trade. Historically, populism has been associated with larger budget deficits. To the extent that budget deficits soak up savings, they lead to a higher neutral rate. Rising populism could also lead to stronger calls for anti-trust policies. Our sense is that we are slowly moving in this direction. Slower Population Growth Demographic shifts can be tricky to assess because they affect savings and investment in offsetting ways and over different time horizons (Chart 5). A decrease in the growth rate of the population will reduce the incentive to expand capacity. Less investment means a lower neutral rate. Slower population growth may also lead to higher savings for a while, as a larger fraction of the population enters its peak saving years (ages 30-to-50). This also means a lower neutral rate. Eventually, however, aging will push more of the population into retirement, increasing the number of people who are dissaving rather than saving. Rising government spending on health care and pensions could also lead to larger fiscal deficits, further depleting national savings. We may be approaching this outcome. Chart 6 shows that the global "support ratio" - defined as the number of workers relative to the number of consumers - has peaked globally and will start falling sharply over the coming years. Chart 5An Aging Population Eventually Pushes Up Interest Rates Chart 6The Ratio Of Workers To Consumers Have Peaked Slower Productivity Growth As with population growth, slower productivity growth is likely to depress R* at first, but could raise R* over time (Chart 7). Initially, slower productivity growth will prompt firms to curb investment spending. It could also lead to less consumer spending, as households react to the prospect of smaller gains in real incomes. All this implies a lower neutral rate. Eventually, however, chronically weak income growth is likely to deplete national savings, leading to a higher neutral rate. The U.S. and a number of other economies may be getting increasingly close to that inflection point (Chart 8). Chart 7A Decline In Productivity Growth Is Deflationary In The Short Run, But Inflationary In The Long Run Chart 8Weak Supply Growth Has Narrowed Output Gaps Lower Commodity Prices Swings in commodity prices may also generate offsetting pressures on the neutral rate that manifest themselves over different time horizons. At the outset, lower commodity prices tend to depress investment spending in the resource sector. This implies a lower neutral rate. Over time, however, lower commodity prices may generate new investment opportunities in downstream industries that use fuel as an input. Lower commodity prices also put money into the pockets of poorer households who are likely to spend it. This raises the neutral rate. Investment Implications Given the conflicting forces affecting R*, it is difficult to have much certainty over how it will evolve. Our best guess is that R* will increase over the next few years, as the scars from the financial crisis recede, deleveraging headwinds abate, fiscal deficits in some economies widen, and population aging and lower productivity growth make more of a dent in national savings. However, the rise in R* is likely to be gradual and from what is currently a very low base. Where we do have greater conviction is on two points: First, the neutral nominal rate will rise more quickly than the neutral real rate, as inflation picks up in most economies. As discussed last week, central banks have a strong incentive to try to engineer more inflation in situations where the economy needs a low real rate to maintain full employment.6 Getting inflation up has been a struggle ever since the financial crisis began, but now that spare capacity around the world is dissipating, central banks are likely to gain more traction over monetary policy. As such, investors should reduce duration risk and increase exposure to inflation-linked securities. Second, the forces pushing down R* outside the U.S. will remain more pronounced than those in the U.S. This, in turn, will provide some support to the beleaguered U.S. dollar. Investors, in particular, may be getting too optimistic about the ability of the ECB to engineer a full-fledged tightening cycle. The euro area is further behind the U.S. in the deleveraging process, suggesting that desired private-sector savings will remain higher there. The overall stance of fiscal policy is also much tighter in the euro area. The IMF estimates that the euro area's structural primary budget surplus currently stands at 0.7% of GDP, compared to a deficit of 1.9% in the U.S. Thus, fiscal policy is currently adding 2.6% of GDP more to aggregate demand in the U.S. than in the euro area. The Fund expects this relative contribution to increase to nearly 4% of GDP by the end of the decade (Chart 9). Furthermore, investment spending has more scope to fall in the euro area. According to the OECD, gross fixed capital formation is actually higher in the euro area than in the U.S. as a share of GDP, despite the fact that potential GDP growth is slower in the euro area (Chart 10). Chart 9Fiscal Policy Is More Stimulative In The U.S. Chart 10Euro Area Investment Spending: Higher Than In The U.S. The appreciation of the euro has led to a tightening in euro area financial conditions in recent weeks, whereas U.S. financial conditions have continued to ease (Chart 11). This will cause relative growth to shift back in favor of the U.S. later this year. Chart 11Diverging Financial Conditions##br## Favor U.S. Over The Euro Area Chart 12The Neutral Rate Is Lowest In The Euro Area The 30-year U.S. Treasury yield is currently 95 basis points higher than the 30-year GDP-weighted euro area government bond yield. This gap in yields does not strike us as being especially large considering that both the neutral rate and long-term inflation expectations are lower in the euro area. We expect EUR/USD to trade in a range of $1.10-to-$1.20 over the next 6-to-9 months before moving lower in the second half of 2018, by which time the Fed will be forced to pick up the pace of rate hikes. The resurgent euro has approached all-time highs against the pound, abetted by a somewhat more dovish-than-expected BoE meeting this week. Yet, with U.K. inflation above target and the unemployment rate at the lowest level since 1975, the Bank of England may need to deliver more than the mere 36 basis points in rate hikes the market is expecting over the next two years. Holston, Laubach and Williams estimate that R* is 1.6 percentage points higher in the U.K. than in the euro area (Chart 12). As such, the balance of risks now favor a stronger pound over a cyclical horizon of 12 months. With that in mind, we are closing our long GBP/JPY trade for a gain of 9.9% and opening a new short EUR/GBP position (Note: The returns of all closed trades are displayed at the back of this report). Peter Berezin, Global Chief Strategist Global Investment Strategy peterb@bcaresearch.com 1 The difference between what a country saves and what it invests is also equal to the difference between what it earns and what it spends. To see this, note that S=Y-C-G where S is national savings, Y is national income, C is personal consumption, and G is government spending. Hence, the identity S-I=CA can be re-written as Y-(C+G+I)=CA where CA is the current account balance. 2 An obvious question is what happens if desired savings exceed desired investment, but interest rates are already equal to zero. In that case, income will contract. Workers will lose their jobs, making it impossible for them to save. Firms will suffer lower profits or even incur losses in the face of flagging demand. Governments will see tax revenues dry up and spending on welfare programs escalate. This means that household, corporate, and government savings will all decline. Of course, since firms are likely to reduce investment in response to slower growth, this could usher in a vicious cycle where falling demand leads to higher unemployment and even less spending - in other words, a recession or even a depression. 3 Suppose, for example, that the interest rate in Country A were to rise above that of Country B for a period of say, ten years. Country A's currency would appreciate. This would reduce net exports in Country A, leading to a decline in aggregate demand. This, in turn, would prevent the neutral rate in Country A from rising as much as it otherwise would. On the flipside, the cheapening of Country B's currency would push up its neutral rate. 4 In the extreme case where the structural forces are expected to last forever, currencies will adjust to the point where the neutral rate across countries is equalized. Intuitively, this must happen because it is impossible for currency-hedged, risk-adjusted interest rates to be lower in one country than in another for an indefinite amount of time. 5 From a neoclassical economics perspective, one might imagine a "production function" that includes labor, physical capital, and digital capital. Many of today's innovations are raising the return on digital capital relative to those on labor and physical capital. This generates outsized rewards to the owners of this particular form of capital (i.e., internet companies), while potentially undercutting the income of workers and owners of physical capital. 6 Please see Global Investment Strategy Weekly Report, “A Secular Bottom In Inflation,” dated July 28, 2017, available at gis.bcaresearch.com. Strategy & Market Trends Tactical Trades Strategic Recommendations Closed Trades
Highlights Investors are becoming less concerned about China's growth outlook, but there is no sign of euphoria. Monitor three risk factors that could disrupt the positive growth outlook and the bull market in Chinese stocks. For now, the risks appear reasonably contained, and the lack of a complacency in the marketplace means it is too early to bet against the herd. Remain positive and stay invested. Feature The latest purchasing managers surveys released early this week confirm that the Chinese economy remains buoyant. The manufacturing and service PMIs from both official and private sources remain comfortably in expansionary territory, and there are no signs of a material deterioration from the readings of the sub-indices. Improving growth also appears to be reflected in the stock market. Chinese investable equities have rallied by over 30% so far this year, beating the major global and EM benchmarks (Chart 1). Despite the improvement in the growth numbers and the rally in stock prices, there is no sign of euphoria among investors with respect to China. On the contrary, Chinese stocks' multiples are still among the lowest of the major global bourses (Chart 2). Importantly, ETFs investing in Chinese assets are still witnessing net redemptions: China-focused ETFs listed in the U.S. and Hong Kong have been witnessing constant net capital outflows since 2013 (Chart 3). Even in the first half of this year, these ETFs have continued to lose capital despite rising stock prices - which means retail investors have not participated in the rally. Attractive valuations and lack of "irrational exuberance" suggest the rally in Chinese investable stocks should have further to run. Chart 1Chinese Equities Have Outperformed... Chart 2...But Still With Much Lower Multiples Chart 3... And Net ETF Redemptions Overall, we remain positive on both Chinese equities and the economy's cyclical outlook, and see limited downside risks in the near term, as discussed in detail in recent weeks.1 However, as growth and stock market performance have been largely in line with our expectations, it is always useful to reflect on risk factors. We see three potential risks that could upset the economy and the ongoing rally in Chinese stocks that need to be closely monitored. Will The Trump Wildcard Strike Again? There are increasing signs that tensions between the U.S. and China are on the rise again after a period of relative tranquility. The first round of U.S.-China Comprehensive Economic Dialogue (CED) resulted in no material progress or concrete plans to improve bilateral trade imbalances. U.S. President Donald Trump has continued to pull "China hawks" into his trade policy team, naming Dennis Shea, well known for being highly critical of China's trade practices, as deputy U.S. Trade Representative. Furthermore, the U.S. State Department recently approved a major weapon package to Taiwan, the first arms sales to the Island since 2015. More recently, President Trump has openly accused China of not helping deal with the North Korea nuclear issue after the country tested an intercontinental ballistic missile (ICBM) that it claims can reach continental America. In addition, the Trump administration is reportedly planning trade measures to force Beijing to crack down on intellectual-property theft and ease requirements that American companies share advanced technologies to gain entry to the Chinese market. Overall, it is widely viewed that the brief "honeymoon" in U.S.-China relations following the April Summit between the leaders of the two countries has decisively ended, and the odds for protectionism tactics against Chinese products have increased. The "Trump wildcard" has always been a key risk with respect to our outlook for China2 - the latest developments suggest this risk remains firmly in place. President Trump and his inner circle appear genuinely convinced that punitive tactics could solve the country's chronic trade deficit. Moreover, President Trump has been increasingly bogged down by domestic policy, and he may lash out on the international front in an effort to boost his popularity. Furthermore, the U.S. President has few legal constitutional constraints to using tariffs against trade partners, giving him maneuvering room. From a big-picture perspective, the conflict between the U.S. and China has deep ideological and geopolitical roots, which are even harder to deal with than trade issues. Chart 4Steel Is No Longer Relevant For ##br##U.S.-China Trade Nonetheless, we maintain our guarded optimism that unilateral protectionism measures will not materially undermine Chinese exports, at least in the near term. On the U.S. side, even though President Trump has toughened his rhetoric on China and trade issues of late, it is still far less extreme compared to the promises he made on the campaign trail, in which he pledged to slap a 45% tariff on all imports from China and to label the country a currency manipulator on "day one." So far, the U.S. administration has mainly been focusing on specific industries, particularly steel, rather than broad-based tariffs, the impact of which should be marginal. For example, China accounts for only 3% of American steel imports. Sales to the U.S. account for less than 1% of China's massive steel output (Chart 4). In other words, steel appears to be a highly symbolic sector in Trump's trade policy, but the real impact on China-U.S. trade is negligible. On the Chinese side, the authorities have hard-drawn redlines on political and sovereign issues, but have much greater flexibility on trade-related issues. Chinese officials understand that the country's large surplus with the U.S. puts it at a near-term disadvantage in a trade war, and therefore will likely cave to pressure from the U.S. Moreover, the sectors that President Trump has been complaining about, namely steel and some other base metals, are the same sectors the Chinese government wants to restrict. Therefore, China will not fight for its own "out of favor" industries to disrupt the broader picture in exports. Taken together, President Trump's trade policy has once again become unpredictable, and some punitive measures on specific products appear likely in the near term. However, we still assign low odds of a drastic escalation in trade frictions, and we expect the Chinese authorities to refrain from tit-for-tat retaliation that could lead to a trade war. Protectionism risks, however, will remain a long-term structural issue that complicates the global trade and growth outlook. Deflationary Pressures And The Risk Of Policy Overkill? Chart 5Headline CPI Is Set To Drop Further A key feature of the Chinese economy is strong disinflationary/deflationary pressures, despite robust growth and job creation. Headline inflation to be released next week will likely once again surprise to the downside, mainly due to food prices (Chart 5). Wholesale prices of agricultural products have weakened substantially in recent months, pointing to sharply lower food CPI. Core CPI remains around 1%, underscoring incredibly low inflationary pressures. The key challenge for the Chinese authorities is figuring out how to manage economic policies to achieve the delicate balance between growth and disinflation/deflation. We have long viewed that one of the critical reasons behind China's sharp growth deterioration between 2012 and 2015 was a policy mistake, in which the authorities allowed monetary conditions to tighten dramatically. We are hopeful that the authorities have realized the cost of policy overkill, and will avoid similar mistakes down the road, but the risk certainly cannot be dismissed entirely. For now, we see low odds of policy overkill that could lead to price deflation and negative growth surprises. First, as growth has improved, some policy tightening is warranted. The authorities recently reported that the economy added 7.35 million new jobs in the first half of the year, far exceeding the government's target, pushing the registered urban unemployment rate to 3.95%, the lowest in recent years. In fact, the People's Bank of China may still be behind the curve, meaning that further tightening is simply a "catch-up" and is not immediately restrictive. Chart 6Another Sharp Rally ##br##In The Trade Weighted RMB is Unlikely Second, a major factor behind China's drastic tightening in monetary conditions in previous years was the sharp rally in the trade-weighted RMB, which appreciated by almost 30% between mid-2011 and early/late 2015 - a massive deflationary shock to Chinese exporters (Chart 6). Looking forward, it is extremely unlikely that the PBoC will allow the RMB to rise by a similar magnitude anytime soon. Finally, from investors' perspective, producer output prices are more important to watch for pricing power and profitability. On this front, PPI inflation has also rolled over and will likely continue to downshift, but will not turn to outright deflation in our view. It is important to note that the sharp decline in producer prices in previous years was due to a multi-year deterioration in Chinese growth, which has historically been an anomaly. The only other period in China's post-reform history with falling PPI happened in the late 1990s in the aftermath of the Asian crisis (Chart 7). In other words, falling PPI only occurs under rather extreme growth difficulties. Our model suggests that PPI inflation may decelerate to 3% by year end. Our PPI diffusion index, which measures the percentage of industrial sectors experiencing rising prices, suggests the majority of sectors are still witnessing higher prices both compared with previous months and a year ago (Chart 8). We are monitoring the PPI diffusion index closely to heed a leading signal on corporate pricing power and overall deflationary pressures in the corporate sector. Chart 7Producer Prices: A Historical Perspective Chart 8PPI Watch Bottom Line: A policy mistake of overtightening by the Chinese authorities remains a key threat to the near-term growth outlook, but is not our base case scenario. The Resumption Of The Dollar Bull Market? The U.S. dollar has rapidly dropped out of favor among global investors. The dollar index has fallen by 10% so far this year, the weakest among the major currencies. The weak U.S. dollar has provided a Goldilocks scenario for both the Chinese economy and financial markets: a weaker dollar depreciates the RMB in trade-weighted terms, which is reflationary for the Chinese economy. For investors, the broad dollar weakness also alleviates downward pressure on the CNY/USD, and a stable CNY/USD in turn reduces investors' anxiety on China's macro conditions, pushing up stock prices. This Goldilocks scenario could once again be disrupted if the dollar bull market resumes, and the positive feedback loop goes into reverse. A stronger dollar tends to strengthen the trade-weighted RMB, which is bad news for exporters. Meanwhile, it could rekindle downward pressure on the CNY/USD, re-intensifying domestic capital outflows, which could be viewed as a sign of China's macro troubles. Fears of an economic hard landing would quickly resurface. In our view, Chinese stocks are more vulnerable if the dollar's strength resumes, but the real damage on the broader economy should not be material. It is highly unlikely that Chinese policymakers would allow the trade-weighted RMB to rise alongside the dollar, and will tighten capital account controls to stop domestic capital flight. Chinese equities will suffer in this scenario, as investors' risk aversion increases. However, so long as the Chinese economy and corporate profits do not suffer a major relapse, the rally in stocks should eventually resume. All in all, the three risk factors should be closely monitored in the coming months, especially if investors become increasingly comfortable with the Chinese growth outlook. For now, the risks appear reasonably contained, and the lack of a complacency in the marketplace means it is too early to bet against the herd. We remain positive on Chinese growth, and favor Chinese equites both in absolute terms and against global/EM benchmarks. Yan Wang, Senior Vice President China Investment Strategy yanw@bcaresearch.com 1 Please see China Investment Strategy Weekly Reports, "China Outlook: A Mid-Year Revisit", dated July 13, 2017, "Rising Odds Of PBoC Rate Hikes", dated July 20, 2017, and Special Report, "Focusing On Chinese Money Supply", dated July 27, 2017, available at cis.bcaresearch.com. 2 Please see China Investment Strategy Weekly Report, "China: The 2017 Outlook, And The Trump Wildcard", dated January 12, 2017, available at cis.bcaresearch.com. Cyclical Investment Stance Equity Sector Recommendations
Informe especial Feature This is the first of two Special Reports on Electric Vehicles. In this report, we will look at the current costs of ownership of a typical mass-market EV, including and excluding subsidies, versus a similar Internal Combustion Engine Vehicle (ICEV). Based on current manufacturing costs and battery capabilities, EVs carry a significantly higher total cost per mile, even including current subsidies. Electric Vehicles have galvanized the interest of consumers, investors, and governments for several years now. We touched on the subject in our Special Report "Electric Vehicle Batteries", published September 20, 2016, where we noted that there were many misconceptions regarding batteries in general and EV batteries in particular. Despite the current cost and utility disadvantages of EVs, we expect governments (especially Europe and China) will continue to provide subsidies (carrots) and mandates (sticks) to further the adoption of EVs for the purposes of reducing CO2 emissions and tailpipe particulate pollution. The longer-term hope is that by forcing the EV market to expand, meaningful technological breakthroughs on batteries will eventually enable EVs to exceed ICEVs on a cost and utility basis. In our second report, we will look at the potential issues associated with adoption of EVs and the investment implications for the auto industry and energy markets. Cost Comparison: EV Vs. ICEV We estimated the difference in cost of ownership of a Chevy Bolt EV (known as the Opel Ampera-e in Europe) and two equivalent Internal Combustion Engine Vehicles (ICEVs), the Chevy Sonic and the Opel Astra, over 160,000 km or 100,000 miles (Table 1). Depreciation is an important consideration in cost of ownership, and we expect EVs to depreciate much more rapidly than ICEVs, a cost that many consumers either ignore or simply fail to incorporate into their purchase decisions. Table 1Comparison Of Costs Of Ownership Between EV And ICEV Automobiles There are many unknowns, such as actual selling price, actual manufacturing cost, etc., in this exercise which may add or subtract a thousand dollars or more to the net results. Under realistic assumptions, those probably cancel out. In summary, EVs are more expensive than ICEVs: Excluding subsidies, the net difference is about $16,100 in the U.S., $18,500 in Germany, and $13,200 in France. After subsidies, the difference is about $6,600 in New York State, $13,900 in Germany, and $6,000 in France. Even if electricity were free, after subsidies, the difference in cost of ownership in the U.S. (NY) would be $3,400, $3,200 in Germany, and $600 in France. The U.S. Federal subsidy of $7,500 is designed to be phased out once a manufacturer sells 200,000 vehicles, which would happen quickly if EVs are to become main stream. Therefore, the total premium cost of ownership of an EV over a comparable ICEV in the U.S. should be assumed to be $16,100 less state subsidy, if any. European subsidies are probably more politically acceptable, even though they will become quite costly if EV sales accelerate as many predict. GM is believed to be losing $9,000 with every Bolt it sells. If so, and if GM changed its pricing to deliver the company's average Gross Margin of around 13%, assuming it currently allows a 10% markup by dealers and discounts the vehicle by 10%, the price of the car would need to be raised to around $48,300 from its current MSRP of $37,500. This would increase the cost of ownership by nearly $11,000 (Table 2), or $0.11 per mile. To make the Bolt's ownership costs - after subsidies - competitive with GM's Opel Astra in France, the Bolt's manufacturing costs would need to be cut by about $14,750 or 34%. Table 2Comparison Of Costs Of Ownership Between EV And ICEV Automobiles, ##br##If GM Sold Bolt At Average Corporate Profitability Note that although we have focused on the Bolt, the common denominator for all EVs is the cost of batteries, which are a commodity. As such, our estimates probably hold for similarly sized vehicles and the differential costs of ownership are likely larger for larger EVs. As we will show in Part 2, integrated auto manufacturers probably have a significant cost advantage over "pure play" EV vendors such as Tesla, because outside of the drive train, they are able to use many of the same components they manufacture for ICEVs. Batteries: A Review All assumptions regarding EV technology are predicated on continued improvements in the cost, durability, and performance of batteries. The leading battery technology for EVs is a Lithium Ion technology (Illustration 1), and there really are no proven near-term alternatives worth discussing. Illustration 1Lithium Ion Technology In our Special Report "Electric Vehicle Batteries", we concluded that: Although the consensus view is that EV battery prices have experienced rapid (8 - 14% per annum) price declines over the past few years, we found no evidence to support that position; Battery durability is at least as important as price, and batteries will not likely last much more than 100,000 miles (160,000 km); Planned expansion of EV battery manufacturing capacity may significantly exceed demand by 2020, resulting in the collapse of EV battery prices and heavy losses for battery manufacturers. We continue to stand by those conclusions, and would like to stress that recent stories such as "China Is About to Bury Elon Musk in Batteries"1 and "10 Battery Gigafactories Are Now in the Works and Elon Musk May Add 4 More"2 are more or less consistent with our comment that "even though there is no reason to expect significant price improvements due to technological shifts, battery prices might drop due to oversupply - at least as long as manufacturers are willing to sell batteries at a loss."3 It seems likely now that China may follow the path it took to the solar industry and mass produce batteries, likely at a loss. The exact motivation for them to do so is uncertain, but this would be moot from the perspective of a western auto manufacturer or consumer. Finally A Reliable Battery Price Data Point! As we will demonstrate in Part 2 of our EV report, excluding the cost of the battery, it should be slightly cheaper to manufacture an EV than a similar ICEV. The EV drive train is much simpler and should be less expensive than that of an ICEV (Illustration 2), offset slightly by the need for a somewhat more robust chassis and suspension due to the weight of the battery, the requirement for electric powered air conditioning, and regenerative braking. Illustration 2Key Components Of A Bolt EV Drive Unit The battery is the most expensive part of an EV and responsible for the higher vehicle prices, and that is likely to remain the case even as manufacturing efficiencies allow EV prices to decline. Unfortunately, the cost of EV batteries is subject to much more speculation than should be the case: many articles cite speculative forecasts, projections, anecdotes, and so on, but without hard data backing them up. Fortunately, we finally have a data point: GM lists the cost of the Bolt EV battery pack as $15,734 for a 60 kWh unit, or $262/kWh.4 Some reports claim the battery cells cost $145/kWh,5 however, battery cells are not the same thing as a battery pack, which is a fully assembled unit complete with wiring, electronics, and a cooling system. Peer reviewed research suggests the cost of the battery pack is about 50% greater than the cost of the battery cells,6 however, we note the same article suggests that ratio will remain the same as battery prices drop. This is unlikely as there is no reason to believe the largely mechanical battery pack will decline proportionately any more than the cost of an engine or transmission will decline. Most likely, the battery pack assembly, excluding the cells, will decline only slightly. EV vendors likely oversize their battery pack in order to limit stress on the batteries (Illustration 3). In other words, the actual capacity of the battery is likely somewhat larger than the rated or useable capacity. If GM is indeed paying $145/kWh for its cells and its pack costs are 50% more than its cell costs and it is oversizing its pack by 20%, the cost of the pack works out to $261/kWh. Illustration 3Oversizing Battery To Account For Capacity Fade The reports which cite a $145/kWh cell price further suggest GM believes cells will cost $100/kWh in 2022, which implies a potential battery cost reduction of $2,700 (assuming the packs are not oversized) over the next 5 years (Table 3). The aforementioned research paper states: "The pure material costs for the VDA-type batteries are estimated to be currently about 50 EUR/kWh ($67.50), which seems to be the lower possible limit at long term." Even if the difference between materials cost and selling price is only 20%, that implies a lower limit of $81/kWh for the cells, meaning savings of $64/kWh are possible. This has not prevented some commentators from suggesting batteries will decline in price by 77% (or $112, implying $33/kWh pricing) by 2030.7 Regardless, savings of $64/kWh work out to $3,840 assuming a 60 kWh pack, or $4,680 assuming the pack is 20% oversized. Even if the pack cost were to decline a similar amount, the cost savings (assuming 50% for the pack, 20% oversized) would only be $7,000. Table 3GM Aims To Cut The Battery Cost By $2,700 By 2022 According to press reports, at the onset GM will lose $9,000 for every Bolt it sells.8 Since the major difference in costs between an EV and an ICEV is the battery pack, the $262 price cited above is probably not representative of the true cost. It may be that part of GM's commercial strategy is to show EV buyers that a replacement battery pack is not overwhelmingly expensive, and it is therefore willing to offer them at a loss. After all, the vehicle comes with a 100,000-mile, 8-year warranty on the battery, and we doubt many consumers would spend $15,734 (plus labor) to replace the battery on an 8-year-old EV. Therefore, GM is probably not going to sell that many replacements, so they won't suffer many losses by offering a replacement battery below its cost. The price differential between a Bolt and a Chevy Sonic, which is a similar vehicle manufactured in the same factory, is about $22,300. If we include the reported $9,000 expected loss, the "true" difference in price is $31,300. We believe that most likely the actual cost of the battery pack of the Bolt is much higher than $15,734. GM Confirms That Batteries Get Used Up Although the Bolt battery pack is covered by an 8-year 100,000-mile warranty, that warranty considers the potential for degradation of up to 40%: "Like all batteries, the amount of energy that the high voltage 'propulsion' battery can store will decrease with time and miles driven. Depending on use, the battery may degrade as little as 10% to as much as 40% of capacity over the warranty period."9 We highlight "all batteries" because this is the fate of all existing battery technologies. We further note that the amount of degradation will depend on the driving habits of the user: if the car is "lightly used" (i.e. traveled much less than 12,000 miles/year), chances are the battery degradation will be at the low end of the scale, whereas if the car is used a lot, chances are it will be at the high end of the scale. The average U.S. driver travels ~13,500 miles (22,000 km) per year,10 meaning the average driver with a single car would exceed the warranty on the Bolt in less than 8 years and, most likely, battery degradation would be closer to 40% than to 10%. Assuming a normal distribution, half of drivers would likely exceed the average annual miles driven, and as a result, their battery degradation would be even greater and happen even sooner, since they would be stressing the battery system through deeper and more frequent charging. Of course, if you were to travel 100,000 miles in 5 years, your battery warranty would expire. A major motivation for buying an EV is the expectation that it will save money on gasoline, which is true as shown in Table 1. However, the more you drive, the faster you use up the battery, and the sooner you would be faced with buying an expensive replacement battery. As such, drivers who drive a lot would be best to be cautious about purchasing an EV, as their costs of ownership due to battery degradation/replacement would be even higher. The Bolt has a purported range of 238 miles, but that range is achieved only when the battery is new and likely measured under ideal circumstances. Use of air conditioning, extreme temperatures (i.e. winter), etc., would probably trim the range significantly, likely to well below 200 miles. Assuming a reasonable usage for the vehicle, an 8-year-old Bolt would probably have a range closer to 100 miles than to 200 miles. This would significantly affect resale value as a vehicle with a range of 100 miles has much less utility than one with 200 miles. Difference In Cost Of Ownership: Chevy Bolt Vs. ICEV Calculating costs of ownership is subject to numerous assumptions, and this is especially the case with respect to an emerging technology such as EVs. Because we have a significant amount of information from GM on the cost and operating characteristics of the Bolt, and because GM makes "mass market" ICEVs which are roughly comparable to the Bolt, we thought it would be a uniquely useful benchmark for a cost of ownership analysis. We are neither making a claim that the Bolt or any EV will be commercially successful, nor are we endorsing it in any way; we are simply identifying the Bolt as representative of a typical mass-market EV. In our analysis we assume: The Chevy Bolt is a typical mass market EV; The sales price of the Bolt is roughly the same in the U.S.11 and Europe12 at $37,495; The Bolt is comparable to the Sonic in North America and the Opel Astra in Europe (Table 4); There are no direct financial subsidies associated with EVs; and After 100,000 miles, both the EV and the comparable ICEV have a similar residual value. Table 4The Bolt Is Much More Expensive Than Similarly-Sized GM ICEVs As we noted above, GM is believed to be taking a $9,000 loss associated with each Bolt sold. This is not sustainable if the firm expects to sell a lot of them. Most likely, either the company sees a path to significant cost reduction over the life of the product, or the company will artificially limit supply and use profits from its other products to subsidize the sales of Bolts. For the purpose of this analysis, we will assume the company and its rivals believe they can sell such vehicles at a reasonable profit in the future. The difference in the cost of ownership for similar vehicles is mainly associated with purchase cost, fuel costs, repair costs, and resale value. Insurance, parking, and so on would be a wash and annual repair and maintenance bills on most new cars are quite modest, so it would not significantly tilt the balance. Although EV enthusiasts tend to highlight the fact EVs do not require oil changes, the significantly increased weight of the battery means EVs require more frequent tire replacement than an equivalent ICEV.13 For example, modern ICEVs require an oil change every 10,000 miles. At $70/oil change this works out to $700, similar in price to a set of tires. Furthermore, the repair experience with EVs is extremely limited, and if we are to take Tesla as an example, they do not fare as well as many had hoped.14 We address the likely higher depreciation rates of EVs below. Estimating Electric Power Costs For An EV Charging a battery is not 100% efficient as losses occur in the charger and at the battery. Batteries get warm as they are charged, and that is a sign of inefficiencies in the charging process. As smartphone and notebook owners are aware, aged batteries produce a lot more heat when they are charged because the charging becomes less efficient as the batteries age. A new EV with a "slow" charger (see below) is about 85% efficient,15,16 while the figure is almost certainly lower for an aged battery. Assuming the system were 100% efficient, the Bolt vehicle goes 238 miles on 60 kWh, averaging about 0.25 kWh/mile, or approximately 25,000 kWh for 100,000 miles. Assuming lifetime average efficiency of 80% (85% when new, 75% when old), lifetime power consumption would be about 31,250 kWh. EV advocates note there are numerous "free" public charging stations. This is true, but there are far fewer public charging stations than there are EVs, which means the average EV owner pays for her electricity (Chart 1). Regardless, somebody has to pay for the electricity, and it is unreasonable to assume that "free charging" will persist if EVs gain significant market share, which apparently they have been doing in the past few years, especially in the U.S. and the EU (Chart 2). Chart 1Globally, EVs Outnumber Charging Stations By 6 To 1 Chart 2EV Market Share Is Increasing, Especially In Europe Furthermore, although many utilities have "time of use" utility rates which are lower in the evening when an EV is being charged, there is reason to question whether those can coexist with significant EV market penetration, a subject we will address in Part 2. Regardless, average power rates incorporate discounted time of use power to some extent, so that is the figure we use. Net Operating Costs: U.S. The Bolt17 is roughly comparable to a Chevy Sonic18 in terms of size, and the vehicles are made in the same factory. The difference in price is about $22,300. At 25/33 mpg, fuel use of the Sonic over 100,000 miles would be about 3,600 gallons (13,627 liters), costing about $9,000, assuming a gasoline price of $2.50 per gallon ($0.66/liter), which is slightly higher than the current nationwide average of ~$2.30/gallon. Assuming lifetime power consumption of 31,250 kWh and an average electricity price in the U.S. of $0.104/kWh,19 electric power costs for the Bolt would be around $3,250, for a net "fuel costs savings" of $5,700 in favor of the Bolt. However, the substantially higher initial purchase price and faster depreciation still results in the Sonic costing about $16,100 less over the duration of the vehicles' 100,000 miles (160,000 km). Put another way, the Bolt's total operating costs would average about $0.38 per mile, 73% higher than the $0.22/mile cost of the Sonic. Net Operating Costs: Europe In Europe, both fuel and electricity costs are typically much higher than in the U.S., but ICEVs also tend to be more fuel efficient. The Bolt is roughly equivalent to an Opel Astra, which costs €16,700 ($19,160) in France and consumes 4.4 litres/100 km20 (53 MPG). The difference in price between the Bolt and the Astra is about $18,300, a smaller premium than in the U.S. comparison. However, even though gasoline prices are more than twice as expensive in Europe than in the U.S., fuel costs for the Astra are moderated by the car's higher fuel efficiency, approximating $10,500 for the first 100,000 miles. Energy costs and EV subsidies vary widely across the EU. Because the economic impact of EVs would be roughly proportional to GDP, we decided to look at the largest EU economies excluding the UK. It happens that EV sales in Italy are negligible, with total market share less than 0.1%,21 and EV subsidies in the country are somewhat opaque. Therefore, we confined our analysis to Germany and France. Assuming lifetime power consumption of 31,250 kWh, the electric power costs of the Bolt would be around $5,350 in France, which has low power prices, for net energy savings of $5,100. In Germany, where power prices of $0.34/kWh are considerably higher, the Bolt and the Astra would have energy costs that are roughly equal. In France, EVs' ownership costs would be $13,200 (49%) higher than the ICEV; in Germany, EV ownership costs would be $18,500 (68%) higher. Bolt Vs Sonic Cost Of Ownership: Impact Of Subsidies In the U.S., there is a federal subsidy of $7,500 and some states also have an EV incentive. In New York State, the subsidy is $2,000, meaning the net increased cost of owning the Bolt instead of a Sonic drops to around $6,600. Note that the federal subsidy is designed to "phase out" once a manufacturer sells 200,000 vehicles. GM hopes to sell 30,000 EVs in 2017 despite only launching U.S.-wide in summer 2017. Combined with prior Volt sales of over 150,000 units, GM should exhaust its federal subsidies in early 2018. Subsidies vary considerably across the EU.22 In France, there is a subsidy of €6,300 ($7,200)23 associated with the purchase of an EV, while Germany24 has a €4,000 ($4,600) incentive. Besides subsidies, there are other benefits of owning an EV including reserved or even free parking spaces, often including free charging. These are offset to some extent by the limited range of EVs which may disqualify them from purchase by some. It remains to be seen how long EV subsidies will persist. They may be affordable to governments as long as the number of vehicles sold remains small, but they would become very costly if EV sales accelerate. For example, about 2 million new passenger cars are registered in France every year. If only half of those were EVs, subsides would total $7.2B. Money for roads, infrastructure maintenance, policing, and so on have to come from somewhere, and if ICEV sales decline substantially, European governments' huge gasoline tax revenues would also deteriorate; in such an environment, it is reasonable to assume that EV subsidies would eventually disappear and be replaced by taxes. It seems highly unlikely to us that a massive subsidy program would be a politically acceptable solution in the U.S. auto market; however, it may very well be that over the near term subsidies persist in the EU where concerns over climate change have greater political weight. Cost Of Ownership: Depreciation Depreciation of the EV is almost certainly going to be much higher than the ICEV, which accounts for some of the higher cost of ownership. We believe that most EV batteries will be substantially degraded after 160,000 km (100,000 miles), and we doubt there will be many EVs on the road past about 200,000 km or 15 years of operation. In contrast, the average age of a vehicle in the EU is over 10.5 years,25 while the average age of a vehicle in the U.S. is 11.6 years.26 The overwhelming majority of EVs on the road today are still under warranty and, in either event, relatively new, which means consumers lack the information to understand the inherent issues of battery degradation. As more consumers have experience with EVs, the problems of degradation and replacement cost (i.e. the high cost of depreciation) will likely temper demand. This would be the case even if battery costs drop significantly: few consumers would invest even $5,000 into repairing a 10-year-old vehicle, and an EV with a 100 mile (160 km) range is significantly less useful than one with a 200 mile (320 km) range. Rapid depreciation has been the experience of Nissan Leaf owners who are discovering their vehicles have lost 80% of their value after only 3 years.27 EV advocates suggest that degradation is not an issue and that, in any event, batteries are getting better and better. This flies in the face of what essentially every consumer has experienced with mobile phones, notebook computers, or any other cordless device. We believe GM has better insights into the issue than EV advocates do and, in any event, we see no evidence for significant improvements in battery life. If, indeed, significant improvements are made to batteries, prior-generation EVs (including today's Bolt) will plummet in value. That said, consumer understanding of battery degradation is not likely to be a factor for EV adoption over the near term. Conclusion: Costs Of Ownership Assuming similar depreciation and excluding subsidies, the net difference in cost of ownership over 160,000 km (100,000 miles) between a Bolt and an equivalent ICEV is about $16,100 in the U.S., $13,200 in France, and $18,500 in Germany, in favor of the ICEV. After subsidies, an optimistic analysis suggests the difference in cost of ownership to travel 100,000 miles (160,000 km) between a Bolt EV and a roughly similar ICEV is about $6,600 in the U.S. (New York), $6,000 in France, and $13,900 in Germany, in favor of the ICEV. Electric power costs for the Bolt are around $3,250 in the U.S., $10,600 in Germany, and around $5,350 in France. Even if electricity were free, after subsidies, the difference in cost of ownership would be $3,400 in the U.S. (NY), $3,200 in Germany, and $600 in France. GM is believed to be losing $9,000 with every Bolt it sells. If so, and it wanted to sell the vehicle at its average Gross Margin of around 13%, it would sell for closer to $48,300, which would increase cost of ownership by about $11,000. In other words it would take a cost reduction of around $14,750 (about 34%) of likely manufacturing cost before the cost of ownership would favor the Bolt in France after subsidies. As noted above in our discussion of battery costs, GM expects a $2,700 cost saving associated with battery cells by 2022. Given that it is losing money on the vehicle, it is hard to believe they will immediately pass these savings on to the consumer. Even if they did, cost of ownership would still favor the ICEVs. Brian Piccioni, Vice President Technology Sector Strategy brianp@bcaresearch.com Matt Conlan, Senior Vice President Energy Sector Strategy mattconlan@bcaresearchny.com Robert P. Ryan, Senior Vice President Commodity & Energy Strategy rryan@bcaresearch.com Johanna El-Hayek, Research Assistant johannah@bcaresearch.com 1 https://www.bloomberg.com/news/articles/2017-06-28/china-is-about-to-bury-elon-musk-in-batteries 2 https://www.greentechmedia.com/articles/read/10-battery-gigafactories-are-now-in-progress-and-musk-may-add-4-more 3 Please see Technology Sector Strategy Special Report "Electric Vehicle Batteries", dated September 20, 2016. 4 http://insideevs.com/heres-how-much-a-chevrolet-bolt-replacement-battery-costs/ 5 http://insideevs.com/gm-chevrolet-bolt-for-2016-145kwh-cell-cost-volt-margin-improves-3500/ 6 https://www.researchgate.net/publication/260339436_An_Overview_of_Costs_for_Vehicle_Components_Fuels_and_Greenhouse_Gas_Emissions 7 https://www.bloomberg.com/news/articles/2017-05-26/electric-cars-seen-cheaper-than-gasoline-models-within-a-decade 8 https://www.bloomberg.com/news/articles/2016-11-30/gm-s-ready-to-lose-9-000-a-pop-and-chase-the-electric-car-boom 9 https://electrek.co/2016/12/07/gm-chevy-bolt-ev-battery-degradation-up-to-40-warranty/ 10 http://www.carinsurance.com/Articles/average-miles-driven-per-year-by-state.aspx 11 http://www.chevrolet.com/byo-vc/client/en/US/chevrolet/bolt-ev/2017/bolt-ev/features/trims/?section=Highlights§ion=Fuel%20Efficiency§ion=Dimensions&styleOne=388584 12 https://electrek.co/2016/12/15/chevy-bolt-ev-europe-june-2017-opel-ampera-e-gm/ 13 The Bolt weighs almost 800 pounds (360 kg) more than a similar sized Chevrolet Sonic. 14 http://www.consumerreports.org/cars-tesla-reliability-doesnt-match-its-high-performance/ 15 https://www.veic.org/docs/Transportation/20130320-EVT-NRA-Final-Report.pdf 16 http://teslaliving.net/2014/07/07/measuring-ev-charging-efficiency/ 17 http://www.chevrolet.com/bolt-ev-electric-vehicle 18 http://www.chevrolet.com/sonic-small-car 19 https://www.eia.gov/electricity/state/ 20 http://www.opel.fr/vehicules/gamme-astra/astra-5-portes/points-forts.html#trim-edition 21 http://www.eafo.eu/content/italy 22 https://www.iea.org/publications/freepublications/publication/GlobalEVOutlook2017.pdf pages 53-55 23 http://insideevs.com/overview-incentives-buying-electric-vehicles-eu/ 24 https://electrek.co/2016/04/27/germany-electric-vehicle-incentive-4000/ 25 http://www.acea.be/statistics/tag/category/average-vehicle-age 26 http://www.autonews.com/article/20161122/RETAIL05/161129973/average-age-of-vehicles-on-road-hits-11.6-years 27 http://blog.caranddriver.com/tesla-aside-resale-values-for-electric-cars-are-still-tanking/ Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Trades Closed in 2017 Summary of Trades Closed in 2016
Overweight The cable & satellite index heavyweights Comcast and Charter Communications both reported their results last week, announcing that they had churned 34,000 and 90,000 of the traditional video customers, respectively. Still, neither company saw a decline in video revenue, reflecting still-strong sector pricing (second panel) and an unabated willingness of the consumer to purchase their content (third panel). The dominant theme from cable & satellite earnings was a transition to high-speed internet (unchanged from the past number of years), a lower revenue but higher margin business. This drove both of the aforementioned companies to each grow their customer relationships by mid-single digits in the quarter. Importantly, the customer additions were made without significantly increasing capital outlays (bottom panel) that, when combined with an overall higher margin business, implies more efficient returns on capital. This should ultimately drive more free cash flow, higher valuation multiples and ongoing share price increases. We reiterate our overweight recommendation for cable & satellite. The ticker symbols for the stocks in the S&P cable & satellite index are: BLBG: S5CBST - CMCSA, CHTR, DISH.
Informe especial Dear Client, Over the next three weeks, much of BCA’s Geopolitical Strategy team will be traveling in Australia, New Zealand, and Asia. As such, we are taking this week off from publication and will return to our regular schedule next week. In lieu of our regular missive, we are sending you the following Special Report, penned by our colleagues in the BCA Technology Sector Strategy. The report, originally published on May 16, tackles “The Coming Robotics Revolution” in an innovative way that aligns with our own views. Clients often ask us what will be the political consequences of the revolution in artificial intelligence and robotics. Our answers are controversial because we strongly disagree with the conventional, Terminator-inspired, doom and gloom. Brian Piccioni and Paul Kantorovich agree with us, which is reassuring given that they understand the technology behind robotics far better than we do. I hope you enjoy the enclosed report and encourage you to seek out the insights of our Technology Sector Strategy. Kindest Regards, Marko Papic, Senior Vice President Chief Geopolitical Strategist Feature "The amount of technology coming at us in the next five years is probably more than we've seen in the last 50" Mark Franks, Director Of Global Automation at General Motors, Bloomberg News, April 2017 There is good reason to believe we are at the cusp of a Robot Revolution which will have a dramatic impact on our economy. Robots have been around for decades or centuries, depending on the definition. Past robots were either fixed in place, as in the case of factory robots, or supervised by operators that are near the robot, or connected through telemetry. In contrast, the robots that are coming will not be fixed in place, and will be able to perform their functions without a human operator. This opens up massive markets for robots in industry (cutting lawns, cleaning windows, delivering parcels, etc.) and, most significantly, consumer applications. Part 1: Robots - Industrial Revolution To Early 21st Century The term "robot" can have different meanings. The most basic definition is "a device that automatically performs complicated and often repetitive tasks,"1 a definition which encompasses a broad range of machines: from the Jacquard Loom,2 which was invented over 200 years ago, on to Numerically Controlled (NC) mills and lathes, pick and place machines used in the manufacture of electronics, Autonomous Vehicles (AVs), and even homicidal robots from the future such as the Terminator. For much of history, most of the labor force was involved with the production of food: over 50% of the U.S. labor force was involved in agriculture until the late 1800s (Chart 1). Agriculture has benefitted immensely from automation as inventions such as the McCormick Reaper (a wheat cutting machine pulled by horses), the cotton gin, and other mechanical systems displaced human effort. Steam and then internal combustion-powered tractors, which can be viewed as "robotic horses," accelerated the process, as engines delivered much more power more cost effectively than mechanical devices (Chart 2). This massively improved productivity: within 20 years from 1830 to 1850, the labor to produce 100 bushels of wheat dropped from 250-300 to 75-90 hours, and by 1955 it only took 6 ½ hours of labor for a net reduction of 97.5% in 125 years.3 Chart 1Farm Workers Were Disrupted In The Late 19th Century Chart 2...And So Were Horses In other words there is nothing new about automation displacing workers while improving productivity, nor is a rapid displacement unprecedented. The industrial revolution was about replacing human craft labor with capital (i.e. machines), which did high-volume work with better quality and productivity. This freed humans for work which had not yet been automated, along with designing, producing, and maintaining the machinery. Automation Frightens People Although automation is nothing new, it has always engendered anxiety among workers. The anxiety boils down to concern for continued employment as well as fear of the technology itself. We discuss below why Artificial Intelligence (AI) does not present the sort of threat to humanity or even employment that seems to be the consensus view at the moment. Will Robots Become Self-Aware? We have covered the topic of Artificial Intelligence/Deep Learning as it relates to sentient/self-aware machines in some detail in our October 18, 2016 Special Report on Artificial Intelligence. In summary, most of the discussion surrounding AI is misinformation. Although AI uses algorithms called "artificial neural networks," which are extremely useful for solving certain classes of problems, these are nothing like biological neural networks. There is no reason whatsoever to believe AI technology in its current form can become sentient, or even meaningfully intelligent, and that will not change with increased computing power. Furthermore, whether or not AI can arise to the level of a threat, there is no current or imagined power source which could keep a rampaging robot active for more than a few hours. The Terminator would have been much less threatening if he required frequent recharging. Will Robots Make Human Workers Irrelevant? Automation in agriculture occurred rapidly enough to be felt by workers at the time - and yet there were no marauding hordes of unemployed hay cutters or cowboys. Improved productivity meant markets were opened which did not previously exist, and unemployed agricultural workers moved to factory work. Media coverage of automation tends to focus on the potential job losses without mentioning the fact that the economy and its workers adapt, and overall living standards generally improve (Chart 3). Technology has displaced entire classes of jobs very rapidly in the recent past, and many products such as smartphones would be extremely difficult to assemble if the work was done by hand. Box 1 provides several other examples. Yet as is usual for many things that have happened multiple times in the past, we are told "this time is different." Chart 3The Industrial Revolution Led To A Vast Improvement In Living Standards Box 1 Automation Displaced Entire Classes Of Jobs In The Recent Past, But Brought Enormous Benefits Before calculators and word processors were available, writing and mathematical calculations were done manually. Machines such as calculators and type writers enhanced productivity, eliminating many such jobs. Software applications such as Microsoft Word and Excel further accelerated this process. Not that long ago, welding was entirely a manual job but now most welding in factories is done by robots: you can usually tell a human weld on a mass produced product by its poor quality. Robots in the modern factory have freed up workers for other roles in the economy just as the massive loss of agricultural jobs in the 20th century did. Many modern electronic products such as smartphones would be extremely difficult to assemble if the work was done by hand, as the components are so small they require microscopes to manipulate. Even if it were possible to hand assemble a smartphone, it would take hours of manual labor to produce, and the quality would be very poor. The use of automation means that smartphones cost a few hundred dollars instead of a few thousand dollars and are affordable enough to be a mass market item. Some of the anxiety around automation-related job losses centers on the possibility that this time, robots will displace workers from the service and white-collar sectors. BCA's European Investment Strategy service has written about the potential for AI to replace jobs involving tasks that require specialized education and training, such as calculating credit scores or insurance premiums, or managing stock portfolios.4 Recent developments in AI (specifically deep learning algorithms) have allowed computers to solve pattern recognition problems that they could not previously solve. However, we do not believe AI in its current form poses a widespread risk to white collar employment for the following reasons: Both service-sector and white collar employees have been subject to replacement through automation already, and the economy has adapted: ATMs are robot bank tellers, self-checkout lanes are robot checkout kiosks, and "smart" gas and electric meters that can be read remotely replace human meter readers. The legal profession has been transformed by Google searches and the accounting business by accounting software. These tools allow certain clients to avoid the use of a lawyer or accountant altogether (for example in setting up a corporation or doing bookkeeping), or allow a firm to employ less skilled workers for the task. We can offer numerous other examples of white collar jobs which have been fully or partially automated over the past couple decades. In addition, recall that AI produces high probability answers which turn out to be wrong, and it requires a lot of subject specific training. Both of these are intrinsic to the implementation of the algorithm. In contrast, humans generally are much better at assigning confidence to decisions and train very rapidly because they have cross-expertise AI lacks. An implementation of AI has to meet BOTH of the following conditions to be successful: There has to be a lot of subject-specific data available A high probability assigned to a wrong answer is either inconsequential or can be easily overruled by a human It is also important to note that although AI may reduce the demand for accountants, insurance agents, credit analysts and other skilled professionals, these are exactly the sort of people that can handle retraining. Part 2: What Makes Upcoming Robots Revolutionary Upcoming robots will be different because they will not be confined to the factory floor. We believe this is a key transition point, and that the next 20 years or so will see as dramatic a change from robotics as was caused by the Internet. Factory robots have improved immensely due to cheaper and more capable control and vision systems. Early robots performed very specific operations under carefully controlled conditions -an assembly robot which encountered a misaligned component would simply install it that way, resulting in a defective product. Eventually vision systems were developed which allowed robots to adjust to varying conditions. As camera and computing costs continue to decline, vision systems are becoming more elaborate and useful, as they gather and process more information to make increasingly complex decisions. As these systems evolve, the abilities of robots to move around their environment while avoiding obstacles will improve, as will their ability to perform increasingly complex tasks. Mobile robots will likely rely on AI to make many decisions. In order to be cost effective, for many years AI will likely be hosted in cloud data centers. This is especially the case for consumer robots, which will have to be highly capable and yet cost effective. We discuss the implications for cloud services providers in more detail in Part 3: Investment Implications. We May Be Entering A 'Virtuous Cycle' In Robotics Improvements to one domain of robotic applications can be generally applied to others. Robotics technology is concurrently moving forward on many fronts ranging from the aforementioned vacuum cleaners, lawnmowers, and logistics robots, to medical orderlies,5 farm tractors,6 mining equipment,7 transport trucks,8 and cargo ships.9 Despite enormous differences in cost and value added, all of these applications are solving essentially the same problem. As with any other technological revolution, advances between different fields in robotics will be adapted, borrowed, extended and enhanced. This, in turn, creates opportunities for ever more applications, creating a virtuous cycle (Diagram 1). Diagram 1Robotics Will Enter Into A Virtuous Cycle There are few tasks which cannot be automated, but there is a definite cost-benefit tradeoff for each one. For example, a golf course may consider spending $25,000 for a robotic lawnmower, however costs were closer to $70 - $90,000 in 2015,10 and installed cost is even higher.11 Because the incremental cost of the machines is comprised of electronics, which will drop in price rapidly, it is probably a matter of another 2 or 3 years before the price moves to the point where mass adoption by groundskeepers begins. The same improvements to industrial lawnmowers will lead to more useable, albeit still pricy, consumer models which will probably enter mass market adoption 5 to 10 years from now. The same argument can be made for almost any manual chore ranging from cleaning the carpet to delivering parcels. We predict the virtuous cycle for robots will span several decades. As the cost of automation drops, better solutions will be developed, resulting in 'early retirement' of dated but otherwise fully functional robotic systems. This is the opposite of the Feature Saturation phenomenon currently present in the smartphone and PC industries - though feature saturation will eventually hit robots as well. A Self-Driving Car Is A Robot The most important robotics technology, from a macroeconomic perspective, is the rapidly advancing field of Autonomous Vehicles (AVs). The automobile industry is a significant part of the global economy, so changes in this industry will have profound implications. We covered AVs in detail in our April 8, 2016 Special Report. Due to technical and legal obstacles that must be overcome, a vehicle which can safely travel from point to point on major roads and city streets without driver intervention is probably 20 years away, +/- 5 years. The macro impact, however, will occur much sooner than that, due to the technologies developed on the way to full AVs. Vehicles are already offering features such as forward collision warning, autobrake, lane departure warning, lane departure prevention, adaptive headlights, and blind spot detection.12 Although we have only touched the surface, robotics are being applied across many industries, making even seemingly modest advances significant when measured in aggregate, as small changes in one industry are quickly adapted by other industries. It is noteworthy that this transition will likely occur during a period where demographic shifts, in particular in the most developed economies, signal the potential for labor shortages, or at least increasing cost of labor (Chart 4).13, 14 Robots may be showing up in the nick of time to improve both the economy and quality of life in the developed world. Chart 4Advances In Robotics Will Counter Adverse##br## Demographic Trends Part 3: Investment Implications The semiconductor industry has stagnated as the PC and smartphone markets entered a largely replacement-driven era (Chart 5). Although it may not be evident until the virtuous cycle is fully engaged, robotics represents another up-leg in demand for semiconductors and therefore should result in a significant improvement to industry growth rates. There is little opportunity for startup semiconductor companies nowadays due to the high costs of developing a new chip. Well positioned, established, semiconductor companies will be the primary beneficiaries of the robotics revolution. Large firms that attempt to fit their existing product offering into the industry (e.g. by remaining PC or mobile-phone centric) will fall behind. Winners System on a Chip (SoC) Vendors: Robotics hardware will more likely be implemented as "System on a Chip" (SoC) as this provides the greatest functionality with lowest cost and power consumption. SoCs generally consist of a variety of Intellectual Property (IP) "cores" which may be licensed from third parties. Typically, IP cores consist of a microprocessor and various specialized subsystems, depending on the application. Robotics SoCs are likely to include Digital Signal Processing (DSP) or Image Processing cores to process sensor data. SoC vendors who target or encourage robot development, such as Overweight-rated Texas Instruments, are likely to be favored by early movers in the space.15 We believe it is a matter of time before Graphics Processors (GPUs) currently used in AI/Deep Learning are replaced by processors specifically designed for AI, which will be cheaper and more power efficient.16 This is one of the reasons for our Underweight rating on Nvidia. Semiconductor Foundries, Mixed Signal and Automotive Semiconductor Vendors: This environment will favor the merchant semiconductor foundries which manufacture most SoCs. In addition, firms with "mixed signal" expertise will experience increased demand for motor controls, sensor interfaces, etc. As robotics features are added to automobiles, demand for automotive semiconductors should outpace that in other sectors. A significant degree of commonality in the parts and systems used in advanced automobiles will be used in other mobile robots, so "automotive" semiconductor demand should significantly outpace automobile sales. Sensor Vendors: Robots need a variety of sensors, depending on the application. Unlike factory floor robots which can make do with cameras, mobile robots will require advanced radar, ultrasound, laser scanning and other sensor types in order to provide redundancy and cope with weather and other related issues. Important sensors on prototype AVs are currently made in low volumes and are extremely expensive. Due to the number of sensors involved, we believe there is significant opportunity for companies offering aggressive cost reduction in sensor technology. Wireless Equipment and Service Providers: Most robotic systems will include some degree of wireless connectivity and participate in the "Internet of Things" (IoT). This will present challenges and opportunities for wireless equipment and service providers,17, 18 as networks will have to adapt to increased upload bandwidth (from robot to carrier) as well as novel billing schemes. Coverage will also have to be expanded to accommodate AVs as it is non-existent or spotty in large stretches of North American roadways. Not being able to check Facebook between two cities is one thing, losing your robot driver is much more serious. Our recent downgrade of Cisco to Underweight19 may appear inconsistent with the analysis above. However, the company's valuation is extremely elevated and revenues are declining (Chart 6). Any benefit Cisco will derive from investment into wireless infrastructure is several years out, and open-source hardware initiatives are gaining momentum.20 For that reason, we see the risks as outweighing the opportunities at the moment for the company. Chart 5Long Replacement Cycles Mean Slower ##br##Semiconductor Sales Chart 6Cisco's Stock Price Is Close To Tech Bubble##br## Levels Despite Declining Revenue Cloud Service Providers: Most robots will be on line and some will likely use cloud services to offload computational effort and minimize cost. A relatively "dumb" robotic lawnmower which offloads control to a shared computational resource in the cloud would probably be cheaper than a much more capable fully autonomous system. This will increase demand for cloud services, however the challenge of declining margins (due to increased competition in the space) will offset cloud services revenue growth somewhat in the long term. On balance, Overweight-rated Microsoft and Alphabet/Google, as well as Amazon, stand to benefit. Chart 7Eastman Kodak Tried To Ignore The Shift ##br##To Digital Cameras Losers We believe companies who ignore the robotics revolution will find themselves at a significant competitive disadvantage. This is not unprecedented in the technology sector: Digital Equipment Corporation (DEC) and Kodak vanished because their business models could not accommodate an obvious shift in their core markets (Chart 7). Similarly Intel and Microsoft completely missed the smartphone revolution. As we noted in our April 8, 2016 Special Report on AVs, the frequency and severity of crashes will decrease dramatically which will lead to reduced insurance rates, fewer repairs, and less money spent on accident related healthcare and rehabilitation. The economic losses of automobile crashes were estimated $871 billion in the US in 201021 and even a modest reduction in the frequency and severity of collisions due to partial automation would have a significant economic impact. "Dumb" Auto Parts Manufacturers: Fewer collisions will result in fewer repairs to people or vehicles. Auto parts manufacturers will fall into two camps: those with significant expertise in robotics will prosper, while those without such expertise will fall behind as the demand for replacement components (fenders, bumpers, doors, windshields, etc.) will decline. AVs are also likely to include advanced diagnostic and service reminder systems which will result in more timely service, reducing wear and tear on internal components as well. The Auto Insurance Industry: While it is doubtful robotics will ever eliminate auto accidents, the rate might be reduced to such a level that the auto-insurance industry, worth $157 billion in the US alone,22 will be much smaller in 20 years than it is today. This will be offset to a degree by greater demands for product liability insurance for AVs and robots in general. Brian Piccioni, Vice President Technology Sector Strategy brianp@bcaresearch.com Paul Kantorovich, Research Analyst paulk@bcaresearch.com 1 http://www.merriam-webster.com/dictionary/robot 2 http://www.computersciencelab.com/ComputerHistory/HistoryPt2.htm 3 https://www.agclassroom.org/gan/timeline/farm_tech.htm 4 Please see European Investment Strategy Special Report, "Female Participation: Another Mega-Trend," dated April 6, 2017, available at eis.bcaresearch.com. 5 http://www.tomsguide.com/us/Forth-Valley-Royal-Robots-Serco-Medicine,news-7124.html 6 http://modernfarmer.com/2013/04/this-tractor-drives-itself/ 7 http://www.asirobots.com/mining/ 8 http://www.theaustralian.com.au/business/powering-australia/rio-rolls-out-the-robot-trucks/story-fnnnpqpy-1227090421535 9 http://www.bloomberg.com/news/articles/2014-02-25/rolls-royce-drone-ships-challenge-375-billion-industry-freight 10 http://techon.nikkeibp.co.jp/english/NEWS_EN/20141210/393619/ 11 http://www.golfcourseindustry.com/article/do-robotic-mowers-dream-of-electric-turf/ 12 http://www.iihs.org/iihs/topics/t/crash-avoidance-technologies/topicoverview 13 http://gbr.pepperdine.edu/2010/08/preparing-for-a-future-labor-shortage/ 14 http://www.imf.org/external/pubs/ft/fandd/2013/06/das.htm 15 http://www.ti.com/corp/docs/engineeringChange/robotics.html 16 Please see Technology Sector Strategy Weekly Report, "Google - AI And Cloud Strategy," dated April 25, 2017, available at tech.bcaresearch.com. 17 http://www.fiercemobileit.com/press-releases/gartner-says-internet-things-will-transform-data-center 18 http://www.computerworld.com/article/2886316/mobile-networks-prep-for-the-internet-of-things.html 19 Please see Technology Sector Strategy Weekly Report, "Networking Equipment Update ," dated March 28, 2017, available at tech.bcaresearch.com. 20 http://www.businessinsider.com/att-white-box-test-should-scare-cisco-juniper-2017-4 21 http://www.nhtsa.gov/About+NHTSA/Press+Releases/2014/NHTSA-study-shows-vehicle-crashes-have-$871-billion-impact-on-U.S.-economy,-society 22 http://www.bloomberg.c/bw/articles/2014-09-10/why-self-driving-cars-could-doom-the-auto-insurance-industry