Sectors

Special Report

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

Negative relative sales growth at retail drug stores has caused the S&P retail drug store index to underperform (top and second panels). However, the second derivative of the decline has turned positive, troughing early this year, but the sector's share of the consumer's wallet has barely changed since the share price slide began in 2015. Analysts' top line estimates have largely captured the modest improvements in the sales outlook; these pulled out of deflation last month for the first time since late-2016 (bottom panel). However, valuations have not followed suit, which appears to be the market assigning a too-high risk premium to the operating recovery. If, as we expect, sales at drug retailers have turned a corner, margins and multiples should expand, particularly since the industry has consolidated substantially since 2015. This should allow investors to recoup some of their losses. Stay overweight The ticker symbols for the stocks in this index are: BLBG: S5DRUG - CVS, WBA.

The GAA DM Equity Country Allocation model is updated as of July 31st, 2017. The model has continued to reduce its allocation to the U.S. and now the U.S. allocation is the largest underweight. The funds from the U.S. are largely used to reduce the large underweight in the U.K. such that now the U.K. is in slight overweight. Other changes in the non-U.S. universe are the downgrade of Spain in favor of Germany, Italy and Netherland. These adjustments are mainly due to changes in liquidity indicators, as shown in Table 1. As shown in Table 2 and Charts 1, 2 and 3, the overall model outperformed its benchmark by 88 bps in July, entirely due to the 213 bps outperformance of Level 2 model where the overweight in Italy, Spain , Australia and Netherland vs the underweight in Japan, Germany, Sweden and Switzerland worked very well. Since going live, the overall model has outperformed its benchmark by 257 bps. Table 1Model Allocation Vs. Benchmark Weights Table 2Performance (Total Returns In USD) Chart 1GAA DM Model Vs. MSCI World Chart 2GAA U.S. Vs. Non U.S. Model (Level 1) Chart 3GAA Non U.S. Model (Level 2) Please see also on the website http://gaa.bcaresearch.com/trades/allocation_performance. For more details on the models, please see the January 29th, 2016 Special Report, "Global Equity Allocation: Introducing the Developed Markets Country Allocation Model." http://gaa.bcaresearch.com/articles/view_report/18850. GAA Equity Sector Selection Model The GAA Equity Sector Selection Model (Chart 4) is updated as of July 31, 2017. Chart 4Overall Model Performance Table 3Allocations Table 4Performance Since Going Live The model continue to be bullish on global growth and hence the cyclical tilt. However, consumer discretionary is the only cyclical sector to have an underweight. This recommendation is mainly driven by the unfavorable liquidity and technical backdrop. For more details on the model, please see the Special Report "Introducing The GAA Equity Sector Selection Model," July 27, 2016 available at https://gaa.bcaresearch.com.

Investors have shunned telecom services stocks vehemently year-to-date (YTD) on the back of an abysmal profit showing. Telecom services stocks are down 9%, while the S&P is up 10% YTD. In fact, in Q1 telecom services stocks were the sole sector to register negative year-over-year EPS growth on trough Q1/2016 earnings comparisons. Nevertheless, we do not want to overstay our welcome and are booking profits of 12% and lifting the S&P telecom services sector to the neutral column. Our Cyclical Macro Indicator (CMI) has arrested its fall giving us comfort that at least a lateral move in relative share prices is likely in coming months (top panel). The steep recalibration of cost structures to the new pricing reality is buttressing our CMI, offsetting the sector's plummeting share of the consumer's wallet (second panel). Encouragingly, selling prices cannot contract at 10% per annum indefinitely, and on a three month-rate of change basis, pricing power has staged a V-shaped recovery (third panel). Impressive labor cost discipline along with even a modest pricing power rebound signal that a grinding higher margin backdrop is likely in the coming months, in line with our margin proxy reading (bottom panel) Bottom Line: Lock in gains of 12% in the S&P telecom services sector and lift exposure to neutral. For additional details, please see yesterday's Weekly Report. The ticker symbols for the stocks in this index are: T, VZ, LVLT, CTL.

Pharma stock profits have moved in lockstep with consumer spending on pharmaceuticals and both have roughly doubled over the past decade. However, relative pharma consumer outlays have crested recently, causing a significant pharma profit underperformance (third panel). If our cautious drug pricing power thesis pans out as we portrayed in this week's Weekly Report, then pharma earnings will suffer and exert downward pressure on relative share prices (top panel). Industry balance sheet deterioration represents another warning signal. Net debt/EBITDA is skyrocketing at a time when the broad non-financial corporate (NFC) sector has been in balance sheet rebuilding mode (bottom panel). While this metric does not suggest that pharma stocks are in deep financial trouble, the deterioration in finances is undeniable, and, at the margin, a rising interest rate backdrop will likely slow down debt issuance for equity retirement and dividend payout purposes. Bottom Line: Trim the S&P pharmaceuticals index to underweight, which takes the S&P health care index to underweight. For additional details, please see yesterday's Weekly Report. The ticker symbols for the stocks in the S&P pharmaceuticals index are: BLBG: S5PHAR - JNJ, PFE, MRK, BMY, AGN, LLY, ZTS, MYL, PRGO.

Highlights Portfolio Strategy Factors are falling into place for an earnings-led underperformance phase in health care stocks. Trim to a below benchmark allocation and execute this downgrade via reducing the heavyweight S&P pharmaceuticals index to a below benchmark allocation. The bearish S&P telecom services narrative is more than discounted in ultra-depressed relative valuations on cyclically quashed profit estimates. Lift to neutral. Recent Changes S&P Health Care - Downgrade to underweight. S&P Pharmaceuticals - Trim to underweight. S&P Telecom Services - Lift to neutral, lock in gains of 12%. Table 1 Feature Equities stayed well bid last week, trading near all-time highs. Broad-based earnings exuberance buttressed stock prices, trumping political uncertainty. The Fed stood pat and signaled a likely September commencement to a balance sheet wind down. Our fixed income strategists do not expect another hike until the December meeting; a less hawkish Fed augments the goldilocks equities backdrop. Three weeks ago1 we posited that earnings will take center stage and serve as a catalyst to sustain the blow off phase in the S&P 500. A mini profit margin expansion phase is taking root as the most cyclical parts of the SPX are flexing their operating leverage muscle. As long as revenues continue to grow, profit margins and profits will expand, especially given muted wage pressures. The lagged effect from a softening U.S. dollar will also likely underpin EPS in the back half of the year. We are surprised that mentions of the greenback are virtually absent from Q2 conference calls; the domestic market appears front of mind for investors and management teams alike. Globally, the dominant market theme is synchronized global growth paving the way to a coordinated G10 Central Bank tightening cycle. In other words, there is a handoff from liquidity to growth. Charts 1 & 2 highlight this fertile equity backdrop: First BCA's Synchronicity Indicator is as good as it gets. In fact in the G20, only Indonesia and South Africa have a manufacturing PMI below the boom/bust line. Second, our global EPS diffusion index is also at an extreme (diffusion index shown inverted, middle panel, Chart 1). In our sample of 44 EM and DM countries, none have declining year-over-year EPS. Third, global export expectations are recovering smartly, suggesting that global trade is on a solid footing and on track to vault to fresh cyclical highs (bottom panel Chart 2). Chart 1Synchronized Global Growth... Chart 2...Is Bullish For Equities While the IMF recently downplayed the U.S.'s importance as a force in global GDP growth contribution, the resurgent ISM new orders-to-inventories ratio signals that U.S. output will recover in the back half of 2017 (second panel, Chart 2). Importantly, not only are cyclical U.S. businesses vibrant but also the most cyclical corner of U.S. PCE is roaring. As consumers are feeling more flush, they tend to spend more on recreational goods and vice versa. According to the BEA, recreational goods & vehicles outlays are expanding at the fastest clip since 2005, near 10% and 15% per annum in nominal and real terms, respectively. Since 1960, this nominal series has been an excellent predictor of the business cycle. Such discretionary outlays have also been moving in tandem with overall nominal PCE growth, easily surpassing it during expansions, and significantly trailing it in times of distress (Chart 3). Currently, recreational goods spending underscores that overall PCE will likely rebound in the coming quarters. Chart 3The U.S. Consumer Is Alright Resurgent global (including U.S.) growth is unambiguously bullish for U.S. equities. This week we are taking down our overall defensive sector exposure another notch by making an intra-defensive sector switch. Health Care: In The ER The health care reform circus is ongoing in Washington, and such uncertainty will likely cast a shadow on health care stocks and reverse recent euphoria. Year-to-date health care stocks have bested the broad market by over 7%, and have retraced roughly 1/3 of the relative losses from the mid-2016 peak to the end-2016 trough. Technicals are extended, with the six month momentum stalling near the upper band of the past eight year range, and breadth is as good as it gets: 70% of health care sub-groups trade above their 40-week moving average (Chart 4). We are using this opportunity to lighten up exposure on this defensive sector and downgrade to a below benchmark allocation. Drug inflation is the biggest risk for the sector. Relative pricing power contracted for the first time in seven years (top panel, Chart 5), warning that the health care top line contraction phase is far from over. This stands in marked contrast to the broad corporate sector that is growing revenues at a healthy clip. Chart 4Sell Into Strength Chart 5Selling Price Pressures Blues While investors appear content to look through this recent weakness as transitory, our sense is that robust pricing power gains of the past are history. Chart 6 shows that since 1982 drug prices have risen fivefold. In fact, since 2011 they have gone parabolic outpacing overall wholesale price inflation by 50%. Importantly, health care sector profits have skyrocketed alongside drug inflation (bottom panel, Chart 6). Such a breakneck pace is unsustainable, especially given recent intense drug price hike scrutiny. Granted, health care spending in the U.S. comprises over 17% of overall consumer outlays, the highest in the world, but it has also likely plateaued (not shown). Real health care spending is decelerating in absolute terms, and contracting compared with overall PCE. This suggests that selling price blues are demand driven and will likely continue to weigh on health care profits (second & third panels, Chart 7). Chart 6Unsustainable Pace Chart 7Even Demand Is Easing Worrisomely, there is no positive offset from international markets. The U.S. dollar has depreciated since the mid-December peak, but health care export growth is hovering around the zero line (bottom panel, Chart 7). News is also grim on the domestic operating front. Not only are selling prices softening, but also our health care sector wage bill is on fire, pushing multi-year highs. Taken together, operating margins will continue to compress, sustaining the recent down drift (Chart 8). Our newly introduced S&P health care sector profit model does an excellent job in capturing all of these forces. Currently, our relative EPS model suggests that the relative profit contraction phase will last into 2018 (Chart 9). Chart 8Margin Trouble Chart 9Heed The Model's Message Factors are falling into place for an earnings led underperformance phase in health care stocks. Downgrade to a below benchmark allocation. We are executing the health care sector downgrade via the heavyweight S&P pharmaceuticals index. Trim Pharma To Underweight Pharma stock profits have moved in lockstep with consumer spending on pharmaceuticals since the mid-1970s, and both have roughly doubled over the past decade (top panel, Chart 10). However, relative pharma consumer outlays have crested recently, causing a significant pharma profit underperformance (bottom panel, Chart 10). Is it also notable that relative spending on pharma soars in times of recession, highlighting the non-discretionary aspect of health care spending. If our cautious drug pricing power thesis pans out as we portrayed above, then pharma earnings will suffer and exert downward pressure on relative share prices (Chart 11). Similarly, BCA's view remains that recession is a 2019 story, thus a knee jerk spike in relative pharma spending and relative EPS is unlikely on a cyclical horizon. Chart 10Cresting Chart 11Soft Prices Are Bearish We doubt capital will chase this long duration group with a stable cash flow profile, especially in a synchronized global growth world. The missing ingredient is consumer price inflation, but the depreciating U.S. dollar suggests that the recent disinflationary backdrop will prove transitory. The NFIB survey of small business planned price hikes is still flirting with cyclical highs (shown inverted, middle panel, Chart 12). That helps explain the positive correlation between the greenback and relative pharma profit estimates. Synchronized global growth is giving way to a coordinated tightening Central Bank (CB) backdrop with G10 CBs taking cover now that the Fed has paved the way. As a result, the U.S. dollar may continue to grind lower, to the benefit of cyclical sectors but detriment of defensives such as pharmaceutical stocks (bottom panel, Chart 12). Worrisomely, the export relief valve has not provided any significant offsets, despite the currency's year-to-date losses (top panel, Chart 12). Taking a closer look at domestic operating conditions is revealing. Not only are relative outlays steadily sinking but pharmaceutical production is contracting. True, whittled down inventories partially explain the letdown in industry output, but contrast the climbing pharma labor footprint. The implication is that declining productivity will continue to weigh on relative valuations (Chart 13). Finally, industry balance sheet deterioration represents another warning signal. Net debt/EBITDA is skyrocketing at a time when the broad non-financial corporate (NFC) sector has been in balance sheet rebuilding mode (middle panel, Chart 14). Similarly, the pharma interest coverage ratio continues to slide, moving in the opposite direction of the NFC sector (bottom panel, Chart 14). While neither of these metrics suggest that pharma stocks are in deep financial trouble, the deterioration in finances is undeniable, and, at the margin, a rising interest rate backdrop will likely slow down debt issuance for equity retirement and dividend payout purposes. Chart 12No Export Relief Chart 13Waning Productivity Chart 14Modest B/S Deterioration Bottom Line: Downgrade the S&P health care index to underweight. Trim the S&P pharmaceuticals index to underweight. The ticker symbols for the stocks in the S&P pharmaceuticals index are: BLBG: S5PHAR - JNJ, PFE, MRK, BMY, AGN, LLY, ZTS, MYL, PRGO. Book Profits And Upgrade Telecom Services To Neutral Investors have shunned telecom services stocks vehemently year-to-date (YTD) on the back of an abysmal profit showing. Telecom services stocks are down 9%, while the S&P is up 10% YTD. In fact, in Q1 telecom services stocks were the sole sector to register negative year-over-year EPS growth on trough Q1/2016 earnings comparisons. In Q2, it remains at the bottom of the GICS1 sector EPS growth table, trailing the SPX by 500bps. We have been fortunate enough to be underweight this niche sector since late January, adding alpha to our portfolio. Nevertheless, we do not want to overstay our welcome and are booking profits of 12% and lifting the S&P telecom services sector to the neutral column. Relative valuations just breached the one standard deviation below the mean mark according to our Valuation Indicator (VI), signaling that indiscriminate selling is overdone and nearly exhausted. Historically, such a depressed VI reading has led to a playable reversal. Importantly, the relative forward P/E multiple has fallen below the lows hit in the aftermath of the TMT bubble and is clocking all-time lows. Tack on washed out technicals probing a collapse close to two standard deviations below the long-term average and a reflex rebound is likely in the short-term (Chart 15). Extreme bearishness reigns in the sell-side community. Five year forward profit estimates plumbed all-time lows at a 10% decline rate versus the broad market (Chart 16). Surely the bearish story is baked into such glum readings. Chart 15Washed Out Chart 16Too Much Pessimism Meanwhile, our Cyclical Macro Indicator has arrested its fall giving us comfort that at least a lateral move in relative share prices is likely in coming months (second panel, Chart 15). The steep recalibration of cost structures to the new pricing reality is buttressing our CMI, offsetting the sector's plummeting share of the consumer's wallet (Chart 17). Encouragingly, selling prices cannot contract at 10% per annum indefinitely, and on a three month-rate of change basis, pricing power has staged a V-shaped recovery (Chart 18). Anecdotally, Verizon's first full quarter post the new pricing plans was solid and suggests that the peak deflationary impulse is likely behind the industry. Chart 17Freefalling Chart 18There Is A Ray Of Light Impressive labor cost discipline along with even a modest pricing power rebound signal that a grinding higher margin backdrop is likely in the coming months, in line with our margin proxy reading. This will also stabilize relative profitability (top and bottom panels, Chart 18). While this sector trades as a fixed income proxy and the recent sell off in the bond market has weighed on relative performance, yield hungry and value investors will start bottom fishing in these stable cash flow, high dividend yielding stocks. However, we refrain from becoming overly bullish. Pricing power is still contracting and the cable industry's veering into wireless phone plan offerings has yet to play out. A more constructive sector view would require the following two developments: a trough in our sales model on the back of firming pricing power and a leveling off in relative consumer outlays signaling that demand for telecom services is on the mend. In sum, the bearish S&P telecom services narrative is more than discounted in ultra-depressed relative valuations on cyclically quashed profit estimates. Green shoots on the industry's pricing power front and impressive management focus on cost structures argue against being bearish this niche sector. Bottom Line: Lock in gains of 12% in the S&P telecom services sector and lift exposure to neutral. The ticker symbols for the stocks in this index are: T, VZ, LVLT, CTL. Anastasios Avgeriou, Vice President U.S. Equity Strategy & Global Alpha Sector Strategy anastasios@bcaresearch.com 1 Please see BCA U.S. Equity Strategy Weekly Report, "SPX 3,000?" dated July 10, 2017, available at uses.bcaresearch.com. Current Recommendations Current Trades Size And Style Views Favor small over large caps and stay neutral growth over value.

Special Report

Highlights Return on Equity (ROE) has historically driven bank share performance, with the yield curve being the key driver for earnings growth. Since the 2008-2009 Global Financial Crisis (GFC), however, the recovery in ROE has been anemic, largely due to a sharp reduction in leverage. Now that the Trump administration has moved towards unwinding parts of Dodd-Frank, this could be the start of a deregulation trend for U.S. banks. Return on Assets (ROA), meanwhile, has recovered to close to pre-crisis levels. Profit margin has been the main driver behind the ROA recovery, as asset utilization has been in a downtrend since the 1980s. Profit margins in the U.S. have been making new highs, while they are rolling over in Japan, and improving from low levels in the euro area. Global economic growth together with policy normalization will support banks' profit-making ability and share outperformance in the next nine-to-twelve months. Maintain an overweight stance in global Financials, with particular favor toward European banks. Feature We recently upgraded Financials to overweight from neutral in our global equity portfolio on attractive valuations and improving profit prospects (see GAA Quarterly Portfolio Outlook, July 3, 2017). As the largest sector in the MSCI ACWI, Financials account for 19.5% of the MSCI global equity universe. It is, therefore, a key sector investors need to have a view on. Banks account for 56% of the global Financial sector market cap, and bank share performance has lagged the broader market by 10% since March 2009, when global equities hit their post-GFC bottom. In this report, we delve into the main drivers that have historically supported bank profits and share-price outperformance, with a view to confirming whether now is a good time to overweight. Return On Equity (ROE) Return on equity, the ratio of a bank's earnings to its book value, measures how much profit each dollar of common shareholders' equity generates. Based on Dupont analysis, ROE is linked to a bank's return on assets (ROA) together with leverage, while ROA is linked to profit margins and asset utilization.1 As such, ROE has been a very important target for banks - despite the fact that it does not take into consideration the riskiness of capital, and has therefore received various forms of criticism.2,3 History has shown that ROE has been correlated with bank share performance, especially on a relative-to-the-broad-market basis (Chart 1 and Chart 2). Chart 1Global Bank Share Performance Vs. ROE Chart 2Regional Bank Performance Vs. ROE Chart 1 also shows that global bank ROE has averaged about 11.3% since the fourth quarter of 1980, about 10 basis point higher than that of the overall market. In the two decades before the GFC, bank ROE was mostly higher than that of the broad market. Since the GFC, however, bank ROE has been in a very different regime after an initial sharp rebound. Over the past few years, global bank ROE has been in a range of 8-10%, way lower than the historical average. On a relative basis, bank ROE has rebounded faster than bank stock prices. On a regional basis, Chart 2 shows some very interesting divergences: Unlike banks in the U.S. and euro area, banks in Canada, Australia and emerging markets have consistently outperformed their respective broad markets since the GFC, supported by rising ROE spreads. Even in absolute terms, ROE in these countries/regions are at much higher levels, with a long-term average of 15% in Canada, 14% in Australia and 13.5% in emerging markets. This could be due to 1) a less competitive environment in these countries where a handful of large banks hold the majority of domestic banking assets; 2) less risky mortgage lending practices and a lower share of shadow banking;4 and 3) the dominance of banks in the local equity indices. In Japan, banks have consistently underperformed the broader market, despite relative improvement in ROE. This could be due to the low ROE nature of Japanese banks, with an average of only 5%. So, going forward, how will ROE evolve, and how differently will banks perform in various countries/regions? To determine this, we disaggregate ROE. Return On Assets (ROA) And Leverage ROE is the product of ROA and leverage,1 which is defined as total assets divided by common shareholders' equity. ROA and ROE have historically been closely correlated, though they have diverged in the past few years. (Chart 3, panel 1). ROA has recovered to above its historical average, while ROE has been gradually declining after its initial sharp post-GFC rebound - and is still currently below its historical average (top panel). The culprit behind the anemic ROE recovery is the leverage ratio (panel 2), which has gone through three distinctive phases: It declined from very high levels (over 25 times) in the early 1980s to a two decade-low of 18.5 times during the 2001 recession, which was largely the result of the Basel Accord for minimum capital requirements published in 1988 by the Basel Committee on Banking Supervision, and fully implemented in 1992. It then started to rise, and hit a high of 20.7 times just ahead of the GFC; since that time, however, it has plummeted to 14.3 times, a historical low since the 1980s, as Basel III came into effect in 2010. In the U.S., the current level of 9.7 times leverage ratio is the lowest in history, and also the lowest compared to other countries. Recently, the U.S. Federal Reserve Board announced the results of the Comprehensive Capital Analysis and Review (CCAR) of the nation's largest banks, with a 100% pass rate. This is of particular note as it is the largest test (34 financial institutions versus 14 in 2013) and the first perfect score in the CCAR's history, implying that the balance sheets of U.S. banks have been fully repaired. The top panel of Chart 4 shows that U.S. bank leverage has been in a downtrend since the 1980s. Any increase in the leverage ratio would translate into a higher ROE. Now that the Trump administration has moved towards unwinding parts of Dodd-Frank, this could be the start of a deregulation trend for U.S. banks after over 30 years of tough regulation. Chart 3Global Bank ROA, ROE And Leverage Chart 4Regional Dynamics Of Bank ROA And Leverage The euro area bank leverage ratio has oscillated lower over time, currently at 18.2 times, also the lowest in its own history but still in line with that of Japan, Canada and Australia - and a lot higher than the U.S. and emerging markets. With a low and rising ROA - currently at 0.2% - EMU banks' ROA should have further room to improve (Chart 4, panel 2) as the euro area economy continues to recover. On July 4, 2017, the European Commission approved Italy's plan to support a precautionary recapitalization of Italian bank Monte dei Paschi di Siena under EU rules, on the basis of an effective restructuring plan. This will help ensure the bank's long-term viability, while limiting competition distortions. We view this as a very positive development in the European banking sector. Profit Margin And Asset Utilization The recovery in ROA has been impressive, but how sustainable is it going forward? Let's look at the two components that jointly determine ROA: profit margin (defined as net profit divided by revenue) and asset utilization,1 which is defined as total revenue divided by total assets. The correlation between ROA and profit margin has been very close, even though profit margin made new highs after the GFC, while ROA is still lower than its pre-GFC peak. (Chart 5, panel 1). The cause lies in the asset utilization ratio, a ratio that measures how much assets are needed to generate $1 of revenue. As Chart 5 panel 2 shows, asset efficiency has been on a consistent downtrend since the 1980s. Should we be concerned about elevated profit margin levels among global banks? Where are they coming from? Chart 6 shows the regional dynamics of profit margin and asset utilization. Chart 5Net Profit Margin Vs. Asset Utilization Chart 6Regional Profit Margin Vs. Asset Utilization Profit margins have been strong across the board, with the U.S. and Canada making historical new highs and Japanese, Australian and emerging market banks' profit margins near their historical peaks. Only EMU banks' profit margins are slightly above their historical average. In absolute terms, EMU banks also have the lowest profit margins, currently standing at around 6%, versus banks in other regions which have profit margins in the mid-to-high teens. Canadian, Australian and EM banks have high profit margins, supporting their consistent outperformance relative to their respective broader markets. U.S. banks also have comparable profit margins, yet they have underperformed their broader market due to lower ROE (see Chart 2 panel 1 on page 2). How can ROE be lower while profit margins are at similar levels? Because ROE is a function of profit margins, asset utilization and leverage. The U.S. leverage ratio is much lower than those in Canada, Australia and emerging markets (Chart 4 on page 5). Japan is another interesting case where high profit margins have not led to superior share performance - because assets are least efficient in terms of generating revenue. Net Interest Margin, Yield Curve and Earnings Growth Banks obtain fees (such as commitment fees or trust fees) from a vast number of different types of transactions. Interest revenue is generated principally from loans but also from repos, investment securities (bonds), and other products. On the funding side, banks pay interest expenses on bank deposits, Federal Funds, other borrowed funds, and debt. As such, net interest margin (NIM), defined as net interest income divided by interest-bearing assets - is an important driver of a bank's net profit. Chart 7 shows the close relationship between EPS growth and net interest margins. Even though data on NIM globally from the World Bank come annually and with a long time lag, the U.S. data proves the point. Because NIM is a function of the yield curve, it makes sense that the yield curve should be a driving force for earnings growth. In fact, the intuitive relationship between EPS growth and the yield curve is empirically robust across the globe, as shown in Chart 8. BCA's profit models for the global Financial Sector incorporates yield curve, 10-year yield changes and credit impulse (defined as the change in loan growth), as well as earnings revisions. They have a reasonably good correlation with actual earnings growth, both trailing and forward, as shown in Chart 9. Chart 7Bank EPS Growth Vs. Net Interest Margin Chart 8Bank EPS Growth Vs. Yield Curve Chart 9Global Financial Earnings Growth The current readings from our profit growth models are in line with our assessment based on BCA's house view of better economic growth leading to better loan growth, higher interest rates and steeper yield curves. Investment Implications We upgraded global financials in our most recent Quarterly Portfolio Strategy published July 3, 2017 - based on our house view calling for better global growth, higher interest rates and steeper yield curves over the next nine to twelve months, together with attractive valuations and a favorable technical backdrop. This was financed by a reduction in our allocation to the Technology sector, the second-largest in the global universe (Chart 10). Chart 10Remain Overweight Global Financials Chart 11Favor Euro Area Banks Within the Financial sector, we suggest clients favor banks in the euro area, in agreement with the view of BCA's Global Alpha Sector Strategy dated May 5, 2017. European banks have lost 74% from their peak relative to the MSCI ACWI Index on a U.S. dollar basis (Chart 11, panel 1). Their recent outperformance should be just the start of a more sustainable uptrend because valuations are very attractive, with a 61% discount to the MSCI ACWI based on price to book (Chart 11 panel 4), and economic growth is gaining traction, with better employment prospects (Chart 11, panel 2) and in turn higher demand for loans. An improving loan-performance ratio (Chart 11, panel 3) combined with the prospect for higher interest rates bodes well for bank profits in the region, while profit margins have room to the upside (Chart 6 on page 6). Xiaoli Tang, Associate Vice President xiaolit@bcaresearch.com 1 ROE = Net Income (NI) /Common Shareholders' Equity (E) = NI/ Total Assets (TA) * TA/E = Return on Assets (ROA)* leverage; ROA = NI/Sales * Sales/TA = Net Profit Margin * Asset Utilization 2 "Beyond ROE - How to measure bank performance,"European Central Bank, September 2010. 3 "Why Banks Come Back To Return On Equity,"Financial Times, November 15, 2015. 4 Neville Arjani and Graydon Paulin, “Lessons from the Financial Crisis: Bank Performance and Regulatory Reform,” Discussion Paper, Bank Of Canada, 2013.

In what is becoming a familiar refrain, Amazon announced they were entering an established business and the existing competitors saw their share prices tumble. This time it was appliance retail and manufacturers with the deployment of Sears' Kenmore brand and the victims were HD and LOW. We think the stock price declines are an overreaction. First, appliances do not fit the Amazon mold; unit costs are relatively high and features often matter more than price. Second, appliances typically require installation which, in the case of Amazon, would likely be fulfilled by Sears; we think Sears is unlikely to displace HD or LOW and their well-earned installation reputations. Third, appliance sales were 8% and 11% of HD and LOW's 2016 sales, respectively; Kenmore's market share gains would need to be very significant to have a material impact. A more important metric when looking at home improvement retail is lumber prices. Higher prices tend to boost profit margins, given that retailers typically earn a fixed spread such that a high dollar value sold will boost profitability. With lumber pushing against the key $400/1000 board-feet level, we think investors should be treating the Amazon fall as an unexpectedly cheap entry point (middle and bottom panels). Stay overweight. The ticker symbols for the stocks in this index are: BLBG: S5HOMI - HD, LOW.

While chemicals and materials are beneficiaries of an upgrading in global economic expectations (please see Monday's Weekly Report), utilities sit at the opposite end of the table (global manufacturing PMI shown inverted, top panel), and therefore warrant a downgrade to a below benchmark allocation. Now that the Fed is ready to start unwinding its balance sheet, the ECB is preparing the waters for QE tapering and a slew of central banks are on the cusp of a new tightening interest rate cycle, there are high odds that still overvalued fixed income proxies will continue to suffer. Given that utilities essentially trade as a proxy for bonds, this macro backdrop leaves them vulnerable to a significant underperformance phase (Treasury yield shown inverted, second panel). Without the support of continued declines in bond yields, utilities advances depend on improving fundamentals. The news on the domestic operating front is grim. Contracting natural gas prices, the marginal price setter for the industry, suggest that recent utilities pricing power gains are running on empty (bottom panel). Bottom Line: We are making room for the niche S&P materials upgrade to neutral by downgrading the equally small S&P utilities sector to a below benchmark allocation. For additional details please refer to this Monday's Weekly Report.

The gap between the BCA Defense and BCA Aerospace indexes has widened considerably as their respective outlooks have diverged. Aerospace orders have fallen by more than half from their peak in 2013, while defense orders appear to be gaining steam. The domestic outlook for defense remains bright. The Trump administration requested an increase of nearly 10% for the 2018 DoD budget. Further, the House authorized a spending level well in excess of what the President asked for with wide bipartisan support, indicating strong political weight behind expanding defense budgets. The international picture too seems promising; exports are booming as global austerity is receding (bottom panel). Anecdotally, the last several months have seen a number of multi-billion dollar international orders which should pad backlogs for several years. Net, an earnings driven rally seems still in the early stages. Stay overweight. The ticker symbols for the stocks in the BCA Defense index are: LMT, GD, RTN, NOC, LLL. Defense Stocks Have Surged; Is The Next Up Leg Coming?