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The Q1-2023 earnings season has surprised as companies’ results point to the end of the earnings recession. However, the good news is already priced in – the market has barely budged over the past six weeks. Earnings rebound may continue as long as the economy avoids a recession. However, inevitably, tighter monetary policy will weigh on demand, and recovery will come to a halt.

The conventional economic thinking about the likely impact of AI is misguided because it extrapolates linearly from what AI can do today to what it can do tomorrow. Just as the investment community and the broader public were blindsided by the exponential rise in Covid cases during the early days of the pandemic, they will be blindsided by how quickly AI transforms society and the economy.

According to BCA Research’s Global Investment Strategy service, AI’s progression is following an exponential curve, not a linear one, meaning that advances could come much faster than expected. If humanity survives the transition to superintelligent AI,…

The conventional economic thinking about the likely impact of AI is misguided because it extrapolates linearly from what AI can do today to what it can do tomorrow. Just as the investment community and the broader public were blindsided by the exponential rise in Covid cases during the early days of the pandemic, they will be blindsided by how quickly AI transforms society and the economy.

Innovative Tech will face macroeconomic headwinds in a new “higher for longer” interest regime. Yet, the long-term opportunity of the cohort is tremendous. Investors need to be judicious with the timing of adding new capital to these themes to bolster long-term returns.

Generative AI is a major technological breakthrough that holds tremendous economic and investment promise and will have sweeping effects on wide swaths of the economy. We are bullish on generative AI as a long-term investment theme. However, at the moment we observe hallmarks of an investment frenzy. We believe that there will be a more attractive entry point for patient investors.

Executive Summary Robotization Is Gaining Pace The Robot Revolution The Robot Revolution ​​​​In today’s publication, we will zero in on one of the most exciting areas of technological innovation that also presents substantial long-term investment potential – robotics. The robotics industry is expected to grow steadily both in the US and abroad thanks to a confluence of favorable long-term trends such as deteriorating global demographics, and a shift of manufacturing toward onshoring and customization. Thanks to technological breakthroughs in the areas of AI, machine learning, lidars, and machine vision, robots are becoming more intelligent and dexterous, thus suitable for an increasing list of tasks and applications. Robots are also becoming more affordable, which is a catalyst for ubiquitous adoption. Increased connectivity and broad-based automation and robotization, are ushering in Industrial Revolution 4.0, improving productivity manyfold. Over time, robotics will change our world beyond recognition, improving not only manufacturing and service industries but also our daily lives. Bottom Line: Robotics is an exciting story of technological innovation, which also presents substantial long-term investment potential. And while the US equity market is likely to remain volatile for months to come, the recent correction in robotics stocks presents an attractive entry point for patient investors with longer investment horizons.     Chart 1US Manufacturers Cannot Fill In Vacant Positions, Wages Are Surging US Manufacturers Cannot Fill In Vacant Positions, Wages Are Surging US Manufacturers Cannot Fill In Vacant Positions, Wages Are Surging Last month we published a report: “Industrials: A Trifecta Of Positives” in which we noted that the US is entering a period of industrial boom prompted by favorable government policy and generous spending, and strong new trends in onshoring and automation (Chart 1). This trifecta of positives helps the sector defy the gravity of the slowing economy.   In this week’s publication, we will zero in on automation and robotization. This is one of the most exciting areas of technological innovation, which presents substantial long-term investment potential. And while the US equity market is likely to remain volatile for months to come, robotics ETFs such as BOTZ, ROBO, IRBO, and ROBT are off some 40%-50% from their recent post-pandemic peaks (Table 1) and present an attractive entry point for patient investors with longer investment horizons. Table 1An Attractive Entry Point for Long-term Investors The Robot Revolution The Robot Revolution What Is A Robot? Recent breakthroughs in AI and robotics technology are awe-inspiring and unsettling. The "robot revolution" could be as transformative as previous General Purpose Technologies (GPT), including the steam engine, electricity, and the microchip. GPTs are technologies that radically alter the economy's production process and make a major contribution to living standards over time The most basic definition is "a device that automatically performs complicated and often repetitive tasks". Interestingly, according to the definition of the International Standards Organization (ISO), software (bots, AI, process automation), remotely controlled drones, voice assistants, autonomous cars, ATMs, smart washing machines, etc. are not robots. Broadly speaking, there are three types of robots: Industrial, service, and collaborative (cobots). Industrial robots work on assembly lines in manufacturing, service robots perform necessary as well as potentially harmful tasks for humans, while collaborative robots (or “cobots”) work next to human workers. We will discuss different types of robots in more depth in later sections. Robotics Industry Is Growing Steadily Global Adoption Chart 2Robotization Is Gaining Pace The Robot Revolution The Robot Revolution According to the International Federation of Robotics, as of 2020, industrial robot stock has constituted 3 million units and between 2015 and 2020 has been growing at 13% per year. A total of 383,000 units of industrial robots were installed in 2020. Industrial robots reported record preliminary sales in 2021, with 486,800 units shipped globally, a 27% increase from 2020. The pace of installations is forecasted to stay robust well into 2024 (Chart 2). Service robot adoption has also clearly been crossing the chasm: In 2020, nearly 132,000 service robots were installed, a 41% increase over 2019, and 19 million consumer service robots were installed, a 6% increase over 2019. Together, the service robot turnover was approximately $12 billion in 2020. The US Is Lagging But The Pace Is Accelerating Chart 3Industrial Robots Across The Globe The Robot Revolution The Robot Revolution The US has been lagging other developed countries in terms of automation and robotization (Chart 3). However, labor shortages brought about by the pandemic appear to have “moved the needle.” According to the Association for Advancing Automation (A3), the number of robots sold in the US in 2021 rose by 27% over 2020 with 49,900 units installed. 2022 is on pace to exceed previous records, with North American companies ordering a record 11,595 robots in Q1, a 28% increase over Q1-2021. Multiple Tailwinds Promote Ubiquitous Robotization The robotics industry is expected to grow steadily both in the US and abroad thanks to a confluence of forces, such as deteriorating global demographics, manufacturing shifts toward onshoring and customization, and technological breakthroughs that make robots more capable and affordable.  Aging Population Leads To Labor Shortages Populations in both developed and emerging markets is aging: More people both in high and upper-middle-income countries will retire in the next decade than will enter the workforce, making labor shortages inevitable. In the US, the problem is particularly acute. Since 2020, labor force participation has declined from 63.4% to 62.4%, most likely due to early retirements, while the unemployment rate stands at a historically low 3.7%. There are two job openings per job seeker, and many businesses report difficulty finding qualified staff. As companies are struggling to fill existing openings, they are increasingly turning towards robots: Replacing labor with automation/robots allows them to produce more and avoid a profit margin squeeze. IFR reports that an increasing number of small- and medium-sized businesses are deploying robots.  Related Report  US Equity StrategyIndustrials: A Trifecta Of Positives Onshoring And Reshoring As we pointed out in the recent report on Industrials, the onset of the pandemic and geopolitical tensions have accelerated the pace of reshoring. Supply chain disruptions have highlighted corporate vulnerabilities and made companies realize that “just-in-case” trumps “just-in-time.” However, companies that bring their businesses back home do realize that finding workers is a challenge, while labor costs are many times higher. Hence, one of the solutions they pursue is automation and robotization.   Mass Customization The “new normal” in many industries is mass customization, i.e., variations for a growing number of products, dubbed a “batch of one.” The shift towards high mix, low volume production raises the importance of manufacturing flexibility and agility – and that is when the industrial robot, capable of working in high to low-volume productions on simple to complex processes, comes to the rescue. The Lower Total Cost Of Ownership Technological advances have made robots both more sophisticated and more affordable. In addition, to a growing supply of low-cost robots, there are also novel pricing models, such as “Robots-as-a-Service” and pay-as-you-use, which support the ubiquitous adoption of robots even by smaller enterprises. Technological Breakthroughs Recent advances in artificial intelligence (AI), computer vision, radars, and networks have expanded the range of tasks that robots can do. Effectively, new technology gives the robot the ability to see, hear, and pick up objects, acting differently according to the data the robot receives, offering it a certain level of autonomous decision-making. Now that robots can “see” and “hear,”, they are being taught how to “feel,” and some of the recent technological advances are truly mind-boggling. Glasgow University researchers have developed ultra-sensitive electronic skin that learns from sensations it experiences. A robotic hand covered with the new e-skin recoiled from what it recognized as “painful” stimuli. This new technology will allow robots to interact with the world in a whole new way, an invention that can be leveraged in a wide range of applications, from prosthetic limbs to the “internet-of-things”.1 And this is just one of many recent inventions. Virtuous Cycle Of Innovation The Robotics industry is going through a perpetual and ever-accelerating cycle of innovation (Chart 4). Improvements to one domain of robotic applications can be transferred to others, benefitting from “adjacent” technologies. In other words, innovations in vacuum cleaners or transport trucks can be easily applied to other areas of robotics, as despite differences in prices and value-add, all the robotic applications are trying to solve the same problems. Advances in different fields in robotics create opportunities for ever more applications, creating a virtuous cycle. Chart 4Robotics Will Enter Into A Virtuous Cycle The Robot Revolution The Robot Revolution Furthermore, robotics is a poster child for Moore’s Law, which refers to the phenomenon whereby transistors on a microchip double every two years, eventually leading to exponential improvements in computing power. Automation and robotics take advantage of these improvements as they are challenged with more complex tasks. We predict the virtuous cycle for robots will span several decades. As the cost of automation drops, better solutions will be developed, resulting in the ‘early retirement’ of dated but otherwise fully functional robotic systems. The following is a brief synopsis of advances in technology and their applications to robotics. Technologies That Help Robots Act Like Humans AI And Machine Learning (ML) AI and ML not only teach robots to perform certain tasks but also makes machines more intelligent by training them to act in different scenarios. To do this, vast amounts of data are consumed. For example, to “teach” a robot to recognize an object and act accordingly, a massive number of images are used to train the computer vision model. Dexterity And Deep Imitation Learning One of the major challenges of roboticists is improving the dexterity of robots and empowering them to manipulate objects gripped by the hand, akin to humans. Some researchers are using machine learning to empower robots to independently identify and work out how to grab objects. Deep Imitation Learning, neural-network-based algorithms, allow the robot to “learn” from humans. For example, in a robotics study led by researchers from the University of Tokyo, the machine learning embedded in the robot practiced a method observed by a human demonstrator. After watching one of the researchers peel a banana periodically for thirteen hours, a robot successfully learned how to peel a banana without crushing the fruit.2 There are also major improvements in hardware, with grippers ranging from pincer-like appendages to human-like hands. Lidar Lidar (Light Detection and Ranging) technology uses sophisticated laser radars that allow robots to navigate their surroundings through object perception, identification, and collision avoidance. Lidar sensors provide information in real-time about the robot’s surroundings such as walls, doors, people, and various objects. While originally expensive, Lidar costs are starting to fall thanks to a more effective chip design and more economical mechanical implementation. Lidars are crucial for advances in industrial automation and warehouse robots. Machine Vision Deep Learning has brought about a groundbreaking advancement in machine vision. One of the early hurdles in machine vision may be described with a simple question: “Am I looking at a large object that’s far away or a tiny object that’s up close?”  The modern approach to answering this question is to use both 3-D cameras and the context. 3-D is simulated by using two or more overlapping cameras, correlating the information on camera movements with changing images from the cameras. Deep Learning algorithms help formulate the context of these changing images.3 Machine vision provides higher quality mapping at a more affordable cost than Lidar, especially when it comes to indoor robotics and automation. Industrial Internet Of Things In Robotics The implementation of the “Industrial Internet of Things” (IIoT) is vital for manufacturing automation and robotics. Its main goal is to create a constant tracking of inputs and outputs, enabling communication along the entire supply chain, passing data between enterprise level and plant floor systems, and improving productivity through the use of big data.  Robots working at different stages of the manufacturing process are interconnected, ensuring flawless production. IIoT technology aims to improve productivity by reducing human-to-human and human-to-computer interactions, reducing costs, and minimizing the probability of mistakes. Similar to smart homes, IIoT factories are smart factories.4 Industrial Revolution 4.0 Early industrial robots performed very specific operations under carefully controlled conditions – an assembly robot that encountered a misaligned component would simply install it that way, resulting in a defective product. However, thanks to improvements in vision systems, computing, AI, and mechanics, the ability of robots to perform increasingly complex tasks that involve some limited decision-making has improved. Increased connectivity, brought about by IIoT, and ubiquitous automation and robotization, are ushering in a new Industrial Revolution, dubbed 4.0. As in previous industrial revolutions, innovation improves productivity manifold. Chart 5Robots Are Proficient In Many Tasks The Robot Revolution The Robot Revolution Industrial robots are deployed to carry out a wide variety of tasks (Chart 5). Arc welding, spot welding, assembly, palletizing, material removal, inspection, material handling, and packaging are some of the most popular applications for robots, but the list does not stop with just those. Industrial robots limit the need for human interaction while being able to complete tasks accurately with a high level of repeatability. Proficiency with these many tasks allows robots to add value to a multitude of industries, such as automotive, electronics, aerospace, food, and medical. While in the past the automotive sector was the key end-demand market for global robotics sales, non-automotive sales now represent 58% of the total, demonstrating a broadening reach of automation. Metals, Auto, and Food and Consumer Goods have the highest growth in terms of the purchase of robots (Charts 6 & 7). Chart 6Robots Are Gaining Traction In Multiple Industries The Robot Revolution The Robot Revolution Chart 7In The US, Robotization Is Broad-Based The Robot Revolution The Robot Revolution We expect the rising digitalization of the manufacturing sector to lead to a new wave of automation investment in developed countries. Key Players In Industrial Robots Space The global industrial robotics market is largely dominated by established Japanese and European companies: ABB, Yaskawa, KUKA, and Fanuc. However, the sizzling demand for robots demonstrates that technological breakthroughs are no longer just about the established players, as many industrial companies, such as Rockwell Automation, Eaton, and Caterpillar, are becoming leaders in this new space. These companies also reach across the aisle to software companies to leverage their expertise in data storage, computing, and artificial intelligence. Rockwell has recently partnered with Microsoft, while others are acquiring software companies. Deere has acquired GUSS Automation, a pioneer in semi-autonomous spring for high-value crops. These companies will benefit from strong demand for their products and should exhibit strong sales and profit growth. Service Robots Are Here To Help Service robots can significantly benefit humans in a variety of fields, including healthcare, automation, construction, household, and entertainment. These robots are managed by internal control systems, with the option of modifying the operation manually. These service robots remove the possibility of human error, manage time, and increase production by lowering the workload of staff and labor. Chart 8Service Robots Across Industries The Robot Revolution The Robot Revolution Service robots are quickly becoming an essential part of business for service-focused companies in healthcare, logistics, and retail (Chart 8). Developments in edge artificial intelligence processors and the arrival of 5G telecom services are likely to propel the market for service robots to new heights. The usage of service robots is extremely broad and range from cleaning to preparing meals to delivering goods. The following are some of the key areas that benefit from service robots. Healthcare Common duties assigned to service robots include setting up patient rooms, tracking inventory and placing orders, and transporting supplies, medication, and linens. Cleaning and disinfection robots can also help create a safe and sanitized facility for everyone. Further, robots assist in performing difficult surgeries and medical procedures.  Robots also help the elderly and disabled. For example, ReWalk has developed a wearable robotic exoskeleton that provides powered hip and knee motion to enable individuals with spinal cord injury (SCI) to stand upright, walk, turn, and climb and descend stairs. The system allows independent, controlled walking while mimicking the natural gait pattern of the legs. Military Defense Autonomous Mobile Robots (AMR) are helpful for combating fires, disarming bombs, and traversing through dangerous areas. Fully automated drone robots are indispensable for military intelligence and combat operations. Logistics As e-commerce sales continue to surge, logistics businesses are using service robots to help overcome current labor shortages, assist current workers to avoid workforce burnout, and enable warehouse automation. Robotic arms are often assigned tasks like picking, placing, and sorting objects, and because these cobots can navigate warehouses independently, they are used to deliver materials to human workers for accurate and efficient order fulfillment. Some logistics companies, such as FedEx, are experimenting with using AMR for last-mile delivery of goods, which is often the most expensive and least productive part of the entire delivery chain. AMR can navigate sidewalks, unpaved surfaces, and steps while carrying cargo. Key Players In Service Robots Space Many US companies are active in this space. Amazon (AMZN) developed robots to support its fulfillment center operation: Robots help automate storage and retrieval mechanisms throughout vast warehouses. IRobot (IRBT) has developed a series of AI-enabled robot vacuums, mops, and pool cleaners – friendly pet-like bots you may see in many American homes. There are also highly sophisticated surgical robots, developed by Stryker (SYK) and Intelligent Surgical (ISRG).  Collaboration Between Humans And Robots Collaboration between humans and robots is still in its infancy but it is one of the fastest-growing fields within robotics. Cobots work alongside humans, allowing humans to be more productive and avoid tedious or strenuous tasks. Cobots can be installed directly in the current production system, with less space than conventional robots. Equipped with intelligent features such as vision and force sensors, the flexibility of cobots means they can perform tasks like parts handling, assembly, and bin picking. Manufacturers adopting cobots, particularly those featuring vision and inspection systems, are seeing an increase in quality and efficiency. Investment Characteristics I hope we have convinced our readers that Robotics is a promising long-term investment theme. We also noted that the robotics ETFs are currently down substantially from their peaks. However, this report would not have been complete without a closer look at the investment characteristics of the robotics ETFs. A few salient points: Table 2Price Sensitivity The Robot Revolution The Robot Revolution Robotics ETFs have betas to the S&P 500 ranging from 1.2 to 1.4 (Table 2), which signals that the robotics sector is a high octane play on the US equity market. The recent pullback in the S&P 500 was particularly punishing for the stocks exposed to robotics. In terms of market capitalization, companies in this space tend to be smaller than the median company in the S&P 500, as they constitute the robotics ecosystem and supply chain (AI, Lidar), and tend to be younger and smaller. Robotics ETFs have always traded at a premium to the market given their superb growth potential. However, currently, ROBO ETF, which is a proxy for the rest of the cohort on a relative basis, is trading just under a half standard deviation above the historical mean (Chart 9). In terms of macroeconomic exposure, all of the robotics ETFs have a pronounced negative exposure to the US dollar – after all, robotics and automation are a global phenomenon. A stronger dollar makes American multinational sales from abroad lower both because of the translation effect and higher prices. The robotics theme doesn’t have much exposure to interest rates, inflation, or commodities, but is somewhat positively exposed to bitcoin (Table 3). Chart 9Valuations And Technicals Are Attractive Valuations And Technicals Are Attractive Valuations And Technicals Are Attractive Table 3Robotics Is A High Octane Equities Theme With A Significant Sensitivity To USD The Robot Revolution The Robot Revolution Investment Implications Robotics is a compelling long-term investment theme as Industrial Revolution 4.0 is taking place in front of our eyes. And while over the short term, monetary tightening and slowing economic growth, both at home and abroad, will be a headwind; over time a new Google or Facebook may emerge in this space. We have already watched the success of Nvidia, a supplier of sophisticated chips for the industry. Table 4Comparing ETFs The Robot Revolution The Robot Revolution There are four ETFs that focus on Robotics and Automation (Table 4). BOTZ Is the largest ETF with $2.1 billion AUM, followed by ROBO at $1.7 billion, which is also the most expensive (Table A1 in the Appendix) Which one is the best? To answer this question, we have turned to the quant wizards at the BCA Equity Analyzer team. To compare the ETFs, they have assigned a BCA stock selection and Owl Analytics ESG scores to stocks in each of the robotics ETFs, to calculate composites.  We note the BCA composite score is low across the board, as robotics as a nascent investment theme scores low on valuations. We note that while ESG scores are comparable across the portfolios, there is some variation in BCA scores. Overall, ROBO is marginally better than the other options: It has the highest BCA score and is the most liquid. It also has a lower beta to the S&P 500 than BOTZ and IRBO, making it slightly less risky. Unfortunately, it is also the most expensive.  Bottom Line Robotics is an exciting long-term theme that benefits from multiple tailwinds, such as demographic trends, continuous technological innovation, reshoring, and customization. Robots are also becoming more intelligent and dexterous, and have better “senses,” making them suitable for an increasing list of tasks and applications. Robots are also becoming more affordable, which is a catalyst for ubiquitous adoption. Over time, robotics will change our world beyond recognition, improving not only manufacturing and service industries but also our daily lives. And that is a future from which investors should certainly profit.    Irene Tunkel Chief Strategist, US Equity Strategy irene.tunkel@bcaresearch.com   Appendix Table A1ETF Universe The Robot Revolution The Robot Revolution Footnotes 1     Clive Cookson in London, "Ouch! Robotic hand with smart skin recoils when jabbed in the palm,”  Financial Times, June 1, 2022, ft.com 2     Ron Jefferson, "Deep Learning Robot with Fine Motor Skills Peel Bananas Without Crushing the Fruit,”  Science Times, March 29, 2022, sciencetimes.com 3     "Is Lidar Going to be Replaced by Machine Vision?”  LiDAR News, January 12, 2022, blog.lidarnews.com 4     Jennifer Stowe, "Automation‌ ‌and‌ ‌IoT‌‌: ‌Transforming‌ ‌How‌ ‌Industries‌ ‌Function‌‌,”  IoT For All, October 12, 2020, iotforall.com Recommended Allocation Recommended Allocation: Addendum The Robot Revolution The Robot Revolution
Highlights Investors should view social media as a technological innovation with negative productivity growth. Social media has contributed to policy mistakes – such as fiscal austerity and protectionism – that have acted as shocks to aggregate demand over the past 15 years. The cyclical component of productivity was long lasting in nature during the last economic expansion. Forces that negatively impact economic growth but do not change the factors of production necessarily reduce measured productivity, and repeated policy mistakes strongly contributed to the slow growth profile of the last economic cycle. Political polarization in a rapidly changing world is the root cause of these policy shocks, but social media likely facilitated and magnified them. The risks of additional mistakes from populism remain present, even before considering other risks to society from social media: a reduction in mental health among young social media users, and the role that social media has played in spreading misinformation. A potential revival in protectionist sentiment is a risk to a constructive cyclical view that we will be closely monitoring over the coming 12-24 months. Investors with concentrated positions in social media stocks should be aware of the potential idiosyncratic risks facing these companies from the public’s impression of the impact of social media on society – especially if social media companies come to be widely associated with political gridlock, the polarization of society, and failed economic policies (as already appears to be the case). Feature Investors should view social media as a technological innovation with negative productivity growth. Social media has contributed to policy mistakes – such as fiscal austerity and protectionism – that have acted as shocks to aggregate demand over the past 15 years. Political polarization in a rapidly changing world is the root cause of these policy shocks, but social media likely facilitated and magnified them. While the risk of premature fiscal consolidation appears low today compared to the 2010-14 period, the pandemic and its aftermath could force the Biden administration or Congressional Democrats toward protectionist or otherwise populist actions over the coming year in the lead up to the 2022 mid-term elections. The midterms, for their part, are expected to bring gridlock back into US politics, which could remove fiscal options should the economy backslide. Frequent shocks during the last economic expansion reinforced the narrative of secular stagnation. In the coming years, any additional policy shocks following a return to economic normality will again be seen by both investors and the Fed as strong justification for low interest rates – despite the case for cyclically and structurally higher bond yields. In addition, investors with concentrated positions in social media companies should take seriously the long-term idiosyncratic risks facing these stocks. These risks stem from the public’s impression of the impact of social media on society, particularly if social media comes to be widely associated with political gridlock, the polarization of society, and failed economic policies. A Brief History Of Social Media The earliest social networking websites date back to the late 1990s, but the most influential social media platforms, such as Facebook and Twitter, originated in the mid-2000s. Prior to the advent of modern-day smartphones, user access to platforms such as Facebook and Twitter was limited to the websites of these platforms (desktop access). Following the release of the first iPhone in June 2007, however, mobile social media applications became available, allowing users much more convenient access to these platforms. Charts II-1 and II-2 highlight the impact that smartphones have had on the spread of social media, especially since the release of the iPhone 3G in 2008. In 2006, Facebook had roughly 12 million monthly active users; by 2009, this number had climbed to 360 million, growing to over 600 million the year after. Twitter, by contrast, grew somewhat later, reaching 100 million monthly active users in Q3 2011. Chart II-1Facebook: Monthly Active Users August 2021 August 2021 Chart II-2Twitter: Monthly Active Users Worldwide August 2021 August 2021   Social media usage is more common among those who are younger, but Chart II-3 highlights that usage has risen over time for all age groups. As of Q1 2021, 81% of Americans aged 30-49 reported using at least one social media website, compared to 73% of those aged 50-64 and 45% of those aged 65 and over. Chart II-4 highlights that the usage of Twitter skews in particular toward the young, and that, by contrast, Facebook and YouTube are the social media platforms of choice among older Americans. Chart II-3A Sizeable Majority Of US Adults Regularly Use Social Media A Sizeable Majority Of US Adults Regularly Use Social Media A Sizeable Majority Of US Adults Regularly Use Social Media Chart II-4Older Americans Use Facebook Far More Than Twitter August 2021 August 2021 Chart II-5Social Media Has Changed The Way People Consume News August 2021 August 2021 As a final point documenting the development and significance of social media, Chart II-5 highlights that more Americans now report consuming news often (roughly once per day) from a smartphone, computer, or tablet other than from television. Radio and print have been completely eclipsed as sources of frequent news. The major news publications themselves are often promoted through social media, but the rise of the Internet has weighed heavily on the journalism industry. Social media has, for better and for worse, enabled the rapid proliferation of alternative news, citizen journalism, rumor, conspiracy theories, and foreign disinformation. The Link Between Social Media And Post-GFC Austerity Following the 2008-2009 global financial crisis (GFC), there have been at least five deeply impactful non-monetary shocks to the US and global economies that have contributed to the disconnection between growth and interest rates: A prolonged period of US household deleveraging from 2008-2014 The Euro Area sovereign debt crisis Fiscal austerity in the US, UK, and Euro Area from 2010 – 2012/2014 The US dollar / oil price shock of 2014 The rise of populist economic policies, such as the UK decision to leave the European Union, and the US-initiated trade war of 2018-2019. Among these shocks to growth, social media has had a clear impact on two of them. In the case of austerity in the aftermath of the Great Recession, a sharp rise in fiscal conservatism in 2009 and 2010, emblematized by the rise of the US Tea Party, profoundly affected the 2010 US midterm elections. It is not surprising that there was a fiscally conservative backlash following the crisis: the US budget deficit and debt-to-GDP ratio soared after the economy collapsed and the government enacted fiscal stimulus to bail out the banking system. And midterm elections in the US often lead to significant gains for the opposition party However, Tea Party supporters rapidly took up a new means of communicating to mobilize politically, and there is evidence that this contributed to their electoral success. Chart II-6 illustrates that the number of tweets with the Tea Party hashtag rose significantly in 2010 in the lead-up to the election, which saw the Republican Party take control of the House of Representatives as well as the victory of several Tea Party-endorsed politicians. Table II-1 highlights that Tea Party candidates, who rode the wave of fiscal conservatism, significantly outperformed Democrats and non-Tea Party Republicans in the use of Twitter during the 2010 campaign, underscoring that social media use was a factor aiding outreach to voters. Chart II-6Tea Party Supporters Rapidly Adopted Social Media To Mobilize Politically Tea Party Supporters Rapidly Adopted Social Media To Mobilize Politically Tea Party Supporters Rapidly Adopted Social Media To Mobilize Politically Table II-1Tea Party Candidates Significantly Outperformed In Their Use Of Social Media August 2021 August 2021   And while it is more difficult to analyze the use and impact of Facebook by Tea Party candidates and supporters owing to inherent differences in the structure of the Facebook platform, interviews with core organizers of both the Tea Party and Occupy Wall Street movements have noted that activists in these ideologically opposed groups viewed Facebook as the most important social networking service for their political activities.1 Under normal circumstances, we agree that fiscal policy should be symmetric, with reduced fiscal support during economic expansions following fiscal easing during recessions. But in the context of multi-year household deleveraging, the fiscal drag that occurred in following the 2010 midterm elections was clearly a policy mistake. This mistake occurred partially under full Democratic control of government and especially under a gridlocked Congress after 2010. Chart II-7 highlights that the contribution to growth from government spending turned sharpy negative in 2010 and continued to subtract from growth for some time thereafter. In addition, panel of Chart II-7 highlights that the US economic policy uncertainty index rose in 2010 after falling during the first year of the recovery, reaching a new high in 2011 during the Tea Party-inspired debt ceiling crisis. Chart II-7The Fiscal Drag That Followed The 2010 Midterm Elections Was A Clear Policy Mistake The Fiscal Drag That Followed The 2010 Midterm Elections Was A Clear Policy Mistake The Fiscal Drag That Followed The 2010 Midterm Elections Was A Clear Policy Mistake Chart II-8Policy Mistakes Significantly Contributed To Last Cycle's Subpar Growth Profile Policy Mistakes Significantly Contributed To Last Cycle's Subpar Growth Profile Policy Mistakes Significantly Contributed To Last Cycle's Subpar Growth Profile In addition to the negative impact of government spending on economic growth, this extreme uncertainty very likely damaged confidence in the economic recovery, contributing to the subpar pace of growth in the first half of the last economic expansion. Chart II-8 highlights the weak evolution in real per capita GDP from 2009-2019 compared with previous economic cycles, which was caused by a prolonged household balance sheet recovery process that was made worse by policy mistakes. To be sure, the UK and the EU did not have a Tea Party, and yet political elites imposed fiscal austerity. It is also the case that President Obama was the first president to embrace social media as a political and public relations tool. So it cannot be said that either social media or the Republican Party are uniquely to blame for the policy mistakes of that era. But US fiscal policy would have been considerably looser in the 2010s if not for the Tea Party backlash, which was partly enabled by social media. Too tight of fiscal policy in turn fed populism and produced additional policy mistakes down the road. From Fiscal Drag To Populism While social media is clearly not the root cause of the recent rise of populist policies, it has had a hand in bringing them about – in both a direct and indirect manner. The indirect link between social media use and the rise in populist policies has mainly occurred through the highly successful use of social media by international terrorist organizations (chiefly ISIL) and its impact on sentiment toward immigration in several developed market economies. Chart II-9Terrorism And Immigration Likely Contributed To Brexit Terrorism And Immigration Likely Contributed To Brexit Terrorism And Immigration Likely Contributed To Brexit Chart II-9 highlights that public concerns about immigration and race in the UK began to rise sharply in 2012, in lockstep with both the rise in UK immigrants from EU accession countries and a series of events: the Syrian refugee crisis, the establishment and reign of the Islamic State, and three major terrorist attacks in European countries for which ISIL claimed responsibility. Given that the main argument for “Brexit” was for the UK to regain control over its immigration policies, these events almost certainly increased UK public support for withdrawing from the EU. In other words, it is not clear that Brexit would have occurred (at least at that moment in time) without these events given the narrow margin of victory for the “leave” campaign. The absence of social media would not have prevented the rise of ISIL, as that occurred in response to the US’s precipitous withdrawal from Iraq. The inevitable rise of ISIL would still have generated a backlash against immigration. Moreover, fiscal austerity in the UK and EU also fed other grievances that supported the Brexit movement. But social media accelerated and amplified the entire process.  Chart II-10Brexit Weakened UK Economic Performance Prior To The Pandemic Brexit Weakened UK Economic Performance Prior To The Pandemic Brexit Weakened UK Economic Performance Prior To The Pandemic Chart II-10 presents fairly strong evidence that Brexit weakened UK economic performance relative to the Euro Area prior to the pandemic, with the exception of the 2018-2019 period. In this period Euro Area manufacturing underperformed during the Trump administration’s trade war as a result of its comparatively higher exposure to automobile production and its stronger ties to China. Panel 2 highlights that GBP-EUR fell sharply in advance of the referendum, and remains comparatively weak today. Turning to the US, Donald Trump’s election as US President in 2016 was aided by both the direct and indirect effects of social media. In terms of indirect effects, Trump benefited from similar concerns over immigration and terrorism that caused the UK to leave the EU: Chart II-11 highlights that terrorism and foreign policy were second and third on the list of concerns of registered voters in mid-2016, and Chart II-12 highlights that voters regarded Trump as the better candidate to defend the US against future terrorist attacks. Chart II-11Terrorism Ranked Highly As An Issue In The 2016 US Election August 2021 August 2021 Chart II-12Voters Regarded Trump As Better Equipped To Defend Against Terrorism August 2021 August 2021 Trump’s election; and the enactment of populist policies under his administration, were directly aided by Trump’s active use of social media (mainly Twitter) to boost his candidacy. Chart II-13 highlights that there were an average of 15-20 tweets per day from Trump’s Twitter account from 2013-2015, and 80% of those tweets occurred before he announced his candidacy for president in June 2015. This strongly underscores that Trump mainly used Twitter to lay the groundwork for his candidacy as an unconventional political outsider rather than as a campaign tool itself, which distinguishes his use of social media from that of other politicians. In other words, new technology disrupted the “good old boys’ club” of traditional media and elite politics. Some policies of the Trump administration were positive for financial markets, and it is fair to say that Trump fired up animal spirits to some extent: Chart II-14 highlights that the Tax Cuts and Jobs Act caused a significant rise in stock market earnings per share. But the Trump tax cuts were a conventional policy pushed mostly by the Congressional leadership of the Republican Party, and they did not meaningfully boost economic growth. Chart II-15 highlights that, while the US ISM manufacturing index rose sharply in the first year of Trump’s administration, an uptrend was already underway prior to the election as a result of a significant improvement in Chinese credit growth and a recovery in oil prices after the devastating collapse that took place in 2014-2015. Chart II-13Trump Used Twitter To Lay The Groundwork For His Candidacy Trump Used Twitter To Lay The Groundwork For His Candidacy Trump Used Twitter To Lay The Groundwork For His Candidacy Chart II-14The Trump Tax Cuts A Huge Rise In Corporate Earnings The Trump Tax Cuts A Huge Rise In Corporate Earnings The Trump Tax Cuts A Huge Rise In Corporate Earnings   Chart II-15But The Tax Cuts Did Not Do Much To Boost Growth But The Tax Cuts Did Not Do Much To Boost Growth But The Tax Cuts Did Not Do Much To Boost Growth Similarly, Chart II-15 highlights that the Trump trade war does not bear the full responsibility of the significant slowdown in growth in 2019, as China’s credit impulse decelerated significantly between the passage of the Tax Cuts and Jobs Act and the onset of the trade war because Chinese policymakers turned to address domestic concerns. Chart II-16The Trade War Caused An Explosion In Global Trade Uncertainty The Trade War Caused An Explosion In Global Trade Uncertainty The Trade War Caused An Explosion In Global Trade Uncertainty But Chart II-16 highlights that the aggressive imposition of tariffs, especially between the US and China, caused an explosion in trade uncertainty even when measured on an equally-weighted basis (i.e., when overweighting trade uncertainty, in countries other than the US and China), which undoubtedly weighed on the global economy and contributed to a very significant slowdown in US jobs growth in 2019 (panel 2). Moreover, Chinese policymakers responded to the trade onslaught by deleveraging, which weighed on the global economy; and consolidating their grip on power at home. In essence, Trump was a political outsider who utilized social media to bypass the traditional media and make his case to the American people. Other factors contributed to his surprising victory, not the least of which was the austerity-induced, slow-growth recovery in key swing states. While US policy was already shifting to be more confrontational toward China, the Trump administration was more belligerent in its use of tariffs than previous administrations. The trade war thus qualifies as another policy shock that was facilitated by the existence of social media. Viewing Social Media As A Negative Productivity-Innovation A rise in fiscal conservatism leading to misguided austerity, the UK’s decision to leave the European Union, and the Trump administration’s trade war have represented significant non-monetary shocks to both the US and global economies over the past 12 years. These shocks strongly contributed to the subpar growth profile of the last economic expansion, as demonstrated above. Chart II-17Policy Mistakes, Partially Enabled By Social Media, Reduced Productivity During The Last Expansion Policy Mistakes, Partially Enabled By Social Media, Reduced Productivity During The Last Expansion Policy Mistakes, Partially Enabled By Social Media, Reduced Productivity During The Last Expansion Given the above, it is reasonable for investors to view social media as a technological innovation with negative productivity growth, given that it has facilitated policy mistakes during the last economic expansion. Chart II-17 underscores this point, by highlighting that multi-factor productivity growth has been extremely weak in the post-GFC environment. While productivity is usually driven by supply-side factors over the longer term, it has a cyclical component to it – and in the case of the last economic expansion, the cyclical component was long lasting in nature. Any forces negatively impacting economic growth that do not change the factors of production necessarily reduce measured productivity; it is for this reason that measured productivity declines during recessions; and policy mistakes negatively impact productivity growth. The Risk Of Aggressive Austerity Seems Low Today… Chart II-18State & Local Government Finances Are In Much Better Shape Today State & Local Government Finances Are In Much Better Shape Today State & Local Government Finances Are In Much Better Shape Today Fiscal austerity in the early phase of the last economic cycle was the first social media-linked shock that we identified, but the risk of aggressive austerity appears low today. Much of the fiscal drag that occurred in the aftermath of the global financial crisis happened because of insufficient financial support to state and local governments – and the subsequent refusal by Congress to authorize more aid. But Chart II-18 highlights that state and local government finances have already meaningfully recovered, on the back of bipartisan stimulus in 2020, while the American Rescue Plan provides significant additional funding. While it is true that US fiscal policy is set to detract from growth over the coming 6-12 months, this will merely reflect the unwinding of fiscal aid that had aimed to support household income temporarily lost, as a result of a drastic reduction in services spending. As we noted in last month’s report,2 goods spending will likely slow as fiscal thrust turns to fiscal drag, but services spending will improve meaningfully – aided not just by a post-pandemic normalization in economic activity, but also by the deployment of some of the sizable excess savings that US households have accumulated over the past year. Fiscal drag will also occur outside of the US next year. For example, the IMF is forecasting a two percentage point increase in the Euro Area’s cyclically-adjusted primary budget balance, which would represent the largest annual increase over the past two decades. But here too the reduction in government spending will reflect the end of pandemic-related income support, and is likely to occur alongside a positive private-sector services impulse. During the worst of the Euro Area sovereign debt crisis, the impact of austerity was especially acute because it was persistent, and it occurred while the output gap was still large in several Euro Area economies. Chart II-19 highlights that Euro Area fiscal consolidation from 2010-2013 was negatively correlated with economic activity during that period, and Chart II-20 highlights that, with the potential exception of Spain, this austerity does not appear to have led to subsequently stronger rates of growth. Chart II-19Euro Area Austerity Lowered Growth During The Consolidation Phase… August 2021 August 2021 Chart II-20…And Did Not Seem To Subsequently Raise Growth August 2021 August 2021   This experiment in austerity led the IMF to conclude that fiscal multipliers are indeed large during periods of substantial economic slack, constrained monetary policy, and synchronized fiscal adjustment across numerous economies.3 Similarly, attitudes about austerity have shifted among policymakers globally in the wake of the populist backlash. Given this, despite the significant increase in government debt levels that has occurred as a result of the pandemic, we strongly doubt that advanced economies will attempt to engage in additional austerity prematurely, i.e., before unemployment rates have returned close-to steady-state levels. …But The Risk Of Protectionism And Other Populist Measures Looms Large The role that social media has played at magnifying populist policies should be concerning for investors, especially given that there has been a rising trend towards populism over the past 20 years. In a recent paper, Funke, Schularick, and Trebesch have compiled a cross-country database on populism dating back to 1900, defining populist leaders as those who employ a political strategy focusing on the conflict between “the people” and “the elites.” Chart II-21 highlights that the number of populist governments worldwide has risen significantly since the 1980s and 1990s, and Chart II-22 highlights that the economic performance of countries with populist leaders is clearly negative. Chart II-21Populism Has Been On The Rise For The Past 30 Years August 2021 August 2021 The authors found that countries’ real GDP growth underperformed by approximately one percentage point per year after a populist leader comes to power, relative to both the country’s own long-term growth rate and relative to the prevailing level of global growth. To control for the potential causal link between economic growth and the rise of populist leaders, Chart II-23 highlights the results of a synthetic control method employed by the authors that generates a similar conclusion to the unconditional averages shown in Chart II-22: populist economic policies are significantly negative for real economic growth. Chart II-22Populist Leaders Are Clearly Growth Killers Even After… August 2021 August 2021 Chart II-23… Controlling For The Odds That Weak Growth Leads To Populism August 2021 August 2021 Chart II-24Inequality: The Most Important Structural Cause Of Populism And Polarization Inequality: The Most Important Structural Cause Of Populism And Polarization Inequality: The Most Important Structural Cause Of Populism And Polarization This is especially concerning given that wealth and income inequality, perhaps the single most important structural cause of rising populism and political polarization, is nearly as elevated as it was in the 1920s and 1930s (Chart II-24). This trend, at least in the US, has been exacerbated by a decline in public trust of mainstream media among independents and Republicans that began in the early 2000s and helped to fuel the public’s adoption of alternative news and social media. The decline in trust clearly accelerated as a result of erroneous reporting on what turned out to be nonexistent weapons of mass destruction in Iraq and other controversies of the Bush administration. Chart II-21 showed that the rise in populism has also yet to abate, suggesting that social media has the potential to continue to amplify policy mistakes for the foreseeable future. It is not yet clear what economic mistakes will occur under the Biden administration, but investors should not rule out the possibility of policies that are harmful for growth. The likely passage of a bipartisan infrastructure bill or a partisan reconciliation bill in the second half of this year will most likely be the final word on fiscal policy until at least 2025,4 underscoring that active fiscal austerity is not likely a major risk to investors. Spending levels will probably freeze after 2022: Republicans will not be able to slash spending, and Democrats will not be able to hike spending or taxes, if Republicans win at least one chamber of Congress in the midterms (as is likely). Biden has preserved the most significant of Trump’s protectionist policies by maintaining US import tariffs against China, and the lesson from the Tea Party’s surge following the global financial crisis is that major political shifts, magnified by social media, can manifest themselves as policy with the potential to impact economic activity within a two-year window. Attitudes toward China have shifted negatively around the world because of deindustrialization and now the pandemic.5 White collar workers in DM countries have clearly fared better during lockdowns than those of lower-income households. This has created extremely fertile ground for a revival in populist sentiment, which could force the Biden administration or Congressional Democrats toward protectionist or otherwise populist actions over the coming year, in the lead up to the 2022 mid-term elections. Investment Conclusions In this report, we have documented the historical link between social media, populism, and policy mistakes during the last economic expansion. It is clear that neither social media nor even populism is solely responsible for all mistakes – the UK’s and EU’s ill-judged foray into austerity was driven by elites. Furthermore, we have not addressed in this report the impact of populism on actions of emerging markets, such as China and Russia, whose own behavior has dealt disinflationary blows to the global economy. Nevertheless, populism is a potent force that clearly has the power to harness new technology and deliver shocks to the global economy and financial markets. The risks of additional mistakes from populism are still present, and that is even before considering other risks to society from social media: a reduction in mental health among young social media users, and the role that social media has played in spreading misinformation – contributing to the vaccine hesitancy in some DM countries that we discussed in Section 1 of our report. Two investment conclusions emerge from our analysis. First, we noted in our April report that there is a chance that investor expectations for the natural rate of interest (“R-star”) will rise once the economy normalizes post-pandemic, but that this will likely not occur as long as investors continue to believe in the narrative of secular stagnation. Despite the fact that the past decade’s shocks occurred against the backdrop of persistent household deleveraging (which has ended in the US), these shocks reinforced that narrative, and any additional policy shocks following a return to economic normality will again be seen by both investors and the Fed as strong justification for low interest rates. Thus, while the rapid closure of output gaps in advanced economies over the coming year argues for both cyclically and structurally higher bond yields, a revival in protectionist sentiment is a risk to this view that we will be closely monitoring over the coming 12-24 months. Chart II-25The Underperformance Of Social Media Would Not Excessively Weigh On The Broad Market The Underperformance Of Social Media Would Not Excessively Weigh On The Broad Market The Underperformance Of Social Media Would Not Excessively Weigh On The Broad Market Second, for tech investors, the bipartisan shift in public sentiment to become more critical of social media companies is gradually becoming a real risk, potentially affecting user growth. Based solely on Facebook, Twitter, Pinterest, and Snapchat, social media companies do not account for a very significant share of the overall equity market (Chart II-25), suggesting that the impact of a negative shift in sentiment toward social media companies would not be an overly significant event for equity investors in general. Chart II-25 highlights that the share of social media companies as a percent of the broad tech sector rises if Google is included; YouTube accounts for less than 15% of Google’s total advertising revenue, however, suggesting modest additional exposure beyond the solid line in Chart II-25. Still, investors with concentrated positions in social media stocks should be aware of the potential idiosyncratic risks facing social media companies as a result of the public’s impression of the impact of social media on society. If social media companies come to be widely associated with political gridlock, the polarization of society, and failed economic policies (as already appears to be the case), then the fundamental performance of these stocks is likely to be quite poor regardless of whether or not tech companies ultimately enjoy a relatively friendly regulatory environment under the Biden administration. Jonathan LaBerge, CFA Vice President The Bank Credit Analyst Footnotes 1 Grassroots Organizing in the Digital Age: Considering Values and Technology in Tea Party and Occupy Wall Street by Agarwal, Barthel, Rost, Borning, Bennett, and Johnson, Information, Communication & Society, 2014. 2 Please see The Bank Credit Analyst “July 2021,” dated June 24, 2021, available at bca.bcaresearch.com 3 “Are We Underestimating Short-Term Fiscal Multipliers?” IMF World Economic Outlook, October 2012 4 Please see US Political Strategy Outlook "Third Quarter Outlook 2021: Game Time," dated June 30, 2021, available at usps.bcaresearch.com 5 “Unfavorable Views of China Reach Historic Highs in Many Countries,” PEW Research Center, October 2020.
Highlights Recent progress on the path to a post-pandemic state and the return to pre-COVID economic conditions has been mixed. The share of vaccinated individuals continues to rise globally, and the number of confirmed UK cases has recently peaked. However, vaccine penetration remains comparatively low in the US, and there has been no meaningful change in the pace of vaccination. Given the emergence of the delta variant as well as vaccine hesitancy in some countries, policymakers currently face a trilemma that is conceptually similar to the Mundell-Fleming Impossible Trinity. The pandemic version of the Impossible Trinity suggests that policymakers cannot simultaneously prevent the reintroduction of pandemic control measures while maintaining a functioning medical system and the complete freedom of individuals to choose whether or not to be vaccinated. Were they to occur, the imposition of renewed pandemic control measures or a dangerous rise in hospitalizations this fall would likely weigh on earnings expectations, at a time when income support for households negatively impacted by the pandemic will be withdrawn. The delta variant of COVID-19 is not vaccine-resistant, meaning that a delta-driven surge in hospitalizations this fall could delay – but not prevent – eventual asset purchase tapering and rate hikes from the Fed. 10-year Treasury yields are well below the fair value implied by a mid-2023 rate hike scenario, underscoring that the recent decline in long-maturity yields is overdone. The recent (slight) tick higher in China’s credit impulse is perhaps a sign that the worst of the credit slowdown has already occurred, but we do not expect a rising trend without a genuine shift toward a looser monetary policy stance. As such, a normalization in services spending in advanced economies remains the likely impulse for global growth over the coming year, at least over the coming 3-6 months. On a 12-month time horizon, we would recommend that investors position for the underperformance of financial assets that are negatively correlated with long-maturity government bond yields. However, for investors more focused on the near term, we would note the potential for further underperformance of cyclical sectors, value stocks, international equities, and most global ex-US currencies versus the US dollar – depending heavily on the evolution of the medical situation in the US and the subsequent response from policymakers. Feature Since we published our last report, progress made on the path to a post-pandemic state and the return to pre-COVID economic conditions have been mixed. Encouragingly, Chart I-1 highlights that the share of people who have received at least one dose of COVID-19 vaccine continues to rise outside of Africa, which continues to be impacted by India’s ban on vaccine exports. By the end of September, at least a quarter of the world’s population will have been fully vaccinated against COVID-19, and many more will have received at least one dose. Pfizer’s plan to request emergency authorization for its vaccine for children aged 5-11 by October also stands to raise total vaccination rates in advanced economies even further by the end of the year. In addition, Chart I-2 presents further evidence that the relationship between new cases of COVID-19 and hospitalization has truly been altered. The chart shows that the number of patients in UK hospitals is much lower than what would be implied by the number of new cases, which itself now appears to have peaked at a lower level than that of January. Given that the strain on the medical system is the dominant constraint facing policymakers, a modest rise in hospitalizations implies a durable end to pandemic restrictions and a return to economic normality. Chart I-1Global Vaccination Progress Continues Global Vaccination Progress Continues Global Vaccination Progress Continues Chart I-2Vaccines Have Truly Altered The Relationship Between Cases And Hospitalizations Vaccines Have Truly Altered The Relationship Between Cases And Hospitalizations Vaccines Have Truly Altered The Relationship Between Cases And Hospitalizations   However, the risk from the delta variant appears to be higher in the US than in the UK, due to a lower level of vaccine penetration. Only 56% of the US population has received at least one dose of a COVID-19 vaccine, compared with 67% in Israel, 69% in the UK, and 71% in Canada. And thus far, there has been no meaningful change in the pace of vaccination in the US in response to the threat from the delta variant, despite recent exhortations from politicians and media personalities from both sides of the political spectrum. The Impossible Trinity: Pandemic Edition Last year, most investors would have said that the existence of a safe and effective vaccine would likely be enough to durably end the pandemic. But given the development of more dangerous variants of the disease, and the existence of vaccine hesitancy in many countries, policymakers now face a trilemma that is conceptually similar to the concept of the “Impossible Trinity” as described by Mundell and Fleming. The upper portion of Chart I-3 illustrates the standard view of the Impossible Trinity, which posits that policymakers must choose one side of the triangle, while foregoing the opposite economic attribute. For example, most modern economies have chosen “B,” gaining the free flow of capital and independent monetary policy by giving up a fixed exchange rate regime (and allowing currency volatility). By contrast, Hong Kong has chosen side “A,” meaning that its monetary policy is driven by the Federal Reserve in exchange for a pegged currency and an open capital account. The lower portion of Chart I-3 presents the pandemic version of the trilemma, which sees policymakers having to choose two of these three outcomes: No economically-damaging pandemic control restrictions placed on society A functioning medical system The complete freedom of individuals to choose whether or not to be vaccinated Chart I-3Variants And Vaccine Hesitancy Have Created A Difficult Choice For Policymakers August 2021 August 2021 In reality, the pandemic version of the Impossible Trinity is likely to be resolved in a fashion similar to how China views the original trilemma,1 which is to distribute a 200% “adoption rate” among the three competing choices. In essence, this means that policymakers will likely partially adopt all three measures with a degree of intensity that will change over time in response to the prevailing circumstances. Chart I-4No Sign Yet Of A Pickup In US Vaccination Rates No Sign Yet Of A Pickup In US Vaccination Rates No Sign Yet Of A Pickup In US Vaccination Rates But Chart I-4 is a clear example of the differences in approach adopted by the US in response to vaccine hesitancy compared to other. So far, attempts to convince vaccine-hesitant Americans to get their shot have relied mostly on “carrot” approaches in an attempt to preserve individual freedom of choice, i.e. side “B” in Chart I-3. As noted above, these measures, so far, have failed, as there has been no noticeable uptick in the pace of vaccine doses administered in the US over the past month. By contrast, France, like several other countries, has begun to use “stick” approaches that push it more toward side “A” of the trilemma. In mid-July, French President Emmanuel Macron announced that French citizens who want to visit cafes, bars or shopping centers must show proof of vaccination or a negative test result. The policy also mandated that French health care and nursing home workers must be vaccinated. The result was a sharp, and thus far sustained, uptick in the pace of doses administered. For equity investors, the risk is that the politically contentious nature of vaccine mandates in the US will cause policymakers to acquiesce to renewed pandemic control measures this fall if the delta variant continues to spread widely over the coming few months (as seems likely). Alternatively, policymakers may allow a dangerous increase in hospitalizations, but this would merely postpone the imposition of control measures – and they would be more severe once reintroduced. Thus, there is a legitimate risk that the spread of the delta variant in the US does weigh on earnings expectations, especially for consumer-oriented services companies, at a time when income support for households negatively impacted by the pandemic will be withdrawn. Bond Yields, Delta, And Slowing Growth Momentum Chart I-5Growth Momentum Has Slowed... Growth Momentum Has Slowed... Growth Momentum Has Slowed... Of course, many investors would point to the significant decline in US 10-year bond yields since mid-March as having already acted in response to waning growth momentum. For example, the peak in US bond yields coincided with the March peak in the ISM manufacturing PMI, as well as a meaningful shift lower in the US economic surprise index (Chart I-5). Without a soaring inflation surprise index, the overall economic surprise index for the US would likely already be negative. The takeaway for some investors has been that a decline in yields has been normal given that the economy has passed its point of maximum strength. But there are two aspects of this narrative that do not accord with the data. First, Chart I-6 highlights that growth is peaking from an extremely strong pace, making it difficult to justify the magnitude of the decline in long-term yields over the past few months. And second, Chart I-7 highlights that the decline in the US 10-year yield closely corresponds to delta variant developments in the US. The chart shows that the 10-year yield broke below 1.5% shortly after the effective US COVID-19 reproduction rate (“R0”) began to rise, and the significant decline in yields over the past month began once R0 rose above 1. Chart I-7 does suggest that yields have reacted in response to the growth outlook, but in a different way than the “maximum strength” narrative suggests. Chart I-6…But Growth Itself Remains Quite Strong August 2021 August 2021 Chart I-7The Yield Decline Over The Past Month Seems Related To Delta The Yield Decline Over The Past Month Seems Related To Delta The Yield Decline Over The Past Month Seems Related To Delta Chart I-810-Year Yields Are Too Low, Even If Variants Delay The Fed 10-Year Yields Are Too Low, Even If Variants Delay The Fed 10-Year Yields Are Too Low, Even If Variants Delay The Fed While we can identify the apparent trigger for the decline in bond yields since mid-March, we do not agree that the decline is fundamentally justified. The delta variant of COVID-19 is not vaccine-resistant, meaning that a delta-driven surge in hospitalizations this fall could delay – but not prevent – eventual asset purchase tapering and rate hikes from the Fed. For example, Chart I-8 highlights that the 10-year yield is now 60 basis points below its fair value level in a scenario in which the Fed only begins to raise interest rates in mid-2023, underscoring that the recent decline in yields is overdone. And, although it is also true that market-based measures of inflation compensation have eased from their May highs, we have noted in previous reports that the Fed’s reaction function is almost exclusively driven by progress in the labor market back toward “maximum employment” levels – not inflation. Chart I-9 highlights that US real output per worker has grown at a much faster pace since the onset of the pandemic than what occurred on average over the past four economic recoveries, reflecting the success that US fiscal policy has had in supporting aggregate demand as well as constraints on labor supply in services industries. These factors will wane in intensity over the coming year, suggesting that real output per worker is unlikely to rise meaningfully further over that time horizon. Based on consensus market expectations for growth as well as the Fed’s most recent forecasts, a flat trend in real output per worker over the coming year would imply that the employment gap will be closed by Q2 of next year. This would be consistent with the recent trend in high frequency mobility data, such as US air traveler throughput and public transportation use in New York City (Chart I-10), the epicenter of the negative impact on urban core services employment stemming from the pandemic “work from home” effect. Chart I-9Real Output Per Worker Unlikely To Rise Much Further Over The Coming Year Real Output Per Worker Unlikely To Rise Much Further Over The Coming Year Real Output Per Worker Unlikely To Rise Much Further Over The Coming Year Chart I-10High-Frequency Data Points To A Closed Jobs Gap By Mid-2022 High-Frequency Data Points To A Closed Jobs Gap By Mid-2022 High-Frequency Data Points To A Closed Jobs Gap By Mid-2022   A closed employment gap by the middle of next year would imply that the Fed will begin to raise rates sometime in 2H 2022. Even if this were delayed by several months due to delta, Chart I-8 illustrated that 10-year Treasury yields are still too low. No Help From China If the spread of the delta variant over the coming few months does temporarily weigh on developed market economic activity via renewed pandemic control measures, investors should note that the lack of a countervailing growth impulse from China may act as an aggravating factor. Chart I-11 highlights that China’s PMI remains persistently below its 12-month trend, as it has tended to do following a decline in China’s credit impulse. And while some investors were hoping that the PBOC’s recent cut to the reserve requirement ratio represented a pivot in Chinese monetary policy towards sustained easing, Chart I-12 highlights that the 3-month repo rate remains well off its low from last year – and is only modestly lower than it was on average during most of the 2018/2019 period. Chart I-11China Is Slowing, And Policy Has Not Yet Reversed Course August 2021 August 2021 Chart I-12The Recent RRR Cut Was Not The Start Of A Dovish PBOC Shift The Recent RRR Cut Was Not The Start Of A Dovish PBOC Shift The Recent RRR Cut Was Not The Start Of A Dovish PBOC Shift   The recent (slight) tick higher in China’s credit impulse is perhaps a sign that the worst of the credit slowdown has already occurred, but we do not expect a rising trend without a genuine shift toward a looser monetary policy stance. As such, a normalization in services spending in advanced economies remains the likely impulse for global growth over the coming year, at least over the coming three to six months. Investment Conclusions Chart I-13Assets That Benefit From Lower Yields May Remain Well-Bid In The Near Term Assets That Benefit From Lower Yields May Remain Well-Bid In The Near Term Assets That Benefit From Lower Yields May Remain Well-Bid In The Near Term The unprecedented nature of the pandemic, as well as the unclear impact the delta variant will have given prevailing rates of vaccination in advanced economies, has clouded the near-term economic outlook. It is unlikely that the delta variant of SARS-COV-2 will have a long-lasting impact on economic activity in advanced economies, but it does have the potential to cause the temporary reintroduction of some pandemic restrictions and, thus, modestly delay the transition to a post-pandemic state. While long-term government bond yields are set to rise on a 12-month time horizon, financial assets that are negatively correlated with long-term bond yields could remain well-bid over the next few months. Chart I-13 highlights that cyclical equity sectors have underperformed defensive equity sectors over the past month, and banks have underperformed the overall index. The correlation between long-maturity real Treasury yields and the relative performance of value and growth stocks has also held up, with growth stocks outperforming since the end of March. Global ex-US equities have also underperformed US stocks, and the dollar has modestly risen. On a 12-month time horizon, we would recommend that investors position for a reversal of all these recent moves. However, for investors more focused on the near term, we would note the potential for further underperformance of cyclical sectors, value stocks, international equities, and most global ex-US currencies versus the US dollar – depending heavily on the evolution of the medical situation in the US and the subsequent response from policymakers. This underscores that cyclical investment strategy will be even more data dependent than usual throughout the second half of the calendar year. The pace of nonfarm payrolls growth in the US remains the single most important data release driving US monetary policy, and investors should especially focus on whether jobs growth this fall is consistent with the Fed’s maximum employment objective, as the impact of the delta variant becomes clearer, as constraints to labor supply are removed, and as employees progressively return to work. Jonathan LaBerge, CFA Vice President The Bank Credit Analyst July 29, 2021 Next Report: August 26, 2021 II. The Social Media Magnification Effect: Austerity, Populism, And Slower Growth Investors should view social media as a technological innovation with negative productivity growth. Social media has contributed to policy mistakes – such as fiscal austerity and protectionism – that have acted as shocks to aggregate demand over the past 15 years. The cyclical component of productivity was long lasting in nature during the last economic expansion. Forces that negatively impact economic growth but do not change the factors of production necessarily reduce measured productivity, and repeated policy mistakes strongly contributed to the slow growth profile of the last economic cycle. Political polarization in a rapidly changing world is the root cause of these policy shocks, but social media likely facilitated and magnified them. The risks of additional mistakes from populism remain present, even before considering other risks to society from social media: a reduction in mental health among young social media users, and the role that social media has played in spreading misinformation. A potential revival in protectionist sentiment is a risk to a constructive cyclical view that we will be closely monitoring over the coming 12-24 months. Investors with concentrated positions in social media stocks should be aware of the potential idiosyncratic risks facing these companies from the public’s impression of the impact of social media on society – especially if social media companies come to be widely associated with political gridlock, the polarization of society, and failed economic policies (as already appears to be the case). Investors should view social media as a technological innovation with negative productivity growth. Social media has contributed to policy mistakes – such as fiscal austerity and protectionism – that have acted as shocks to aggregate demand over the past 15 years. Political polarization in a rapidly changing world is the root cause of these policy shocks, but social media likely facilitated and magnified them. While the risk of premature fiscal consolidation appears low today compared to the 2010-14 period, the pandemic and its aftermath could force the Biden administration or Congressional Democrats toward protectionist or otherwise populist actions over the coming year in the lead up to the 2022 mid-term elections. The midterms, for their part, are expected to bring gridlock back into US politics, which could remove fiscal options should the economy backslide. Frequent shocks during the last economic expansion reinforced the narrative of secular stagnation. In the coming years, any additional policy shocks following a return to economic normality will again be seen by both investors and the Fed as strong justification for low interest rates – despite the case for cyclically and structurally higher bond yields. In addition, investors with concentrated positions in social media companies should take seriously the long-term idiosyncratic risks facing these stocks. These risks stem from the public’s impression of the impact of social media on society, particularly if social media comes to be widely associated with political gridlock, the polarization of society, and failed economic policies. A Brief History Of Social Media The earliest social networking websites date back to the late 1990s, but the most influential social media platforms, such as Facebook and Twitter, originated in the mid-2000s. Prior to the advent of modern-day smartphones, user access to platforms such as Facebook and Twitter was limited to the websites of these platforms (desktop access). Following the release of the first iPhone in June 2007, however, mobile social media applications became available, allowing users much more convenient access to these platforms. Charts II-1 and II-2 highlight the impact that smartphones have had on the spread of social media, especially since the release of the iPhone 3G in 2008. In 2006, Facebook had roughly 12 million monthly active users; by 2009, this number had climbed to 360 million, growing to over 600 million the year after. Twitter, by contrast, grew somewhat later, reaching 100 million monthly active users in Q3 2011. Chart II-1Facebook: Monthly Active Users August 2021 August 2021 Chart II-2Twitter: Monthly Active Users Worldwide August 2021 August 2021   Social media usage is more common among those who are younger, but Chart II-3 highlights that usage has risen over time for all age groups. As of Q1 2021, 81% of Americans aged 30-49 reported using at least one social media website, compared to 73% of those aged 50-64 and 45% of those aged 65 and over. Chart II-4 highlights that the usage of Twitter skews in particular toward the young, and that, by contrast, Facebook and YouTube are the social media platforms of choice among older Americans. Chart II-3A Sizeable Majority Of US Adults Regularly Use Social Media A Sizeable Majority Of US Adults Regularly Use Social Media A Sizeable Majority Of US Adults Regularly Use Social Media Chart II-4Older Americans Use Facebook Far More Than Twitter August 2021 August 2021 Chart II-5Social Media Has Changed The Way People Consume News August 2021 August 2021 As a final point documenting the development and significance of social media, Chart II-5 highlights that more Americans now report consuming news often (roughly once per day) from a smartphone, computer, or tablet other than from television. Radio and print have been completely eclipsed as sources of frequent news. The major news publications themselves are often promoted through social media, but the rise of the Internet has weighed heavily on the journalism industry. Social media has, for better and for worse, enabled the rapid proliferation of alternative news, citizen journalism, rumor, conspiracy theories, and foreign disinformation. The Link Between Social Media And Post-GFC Austerity Following the 2008-2009 global financial crisis (GFC), there have been at least five deeply impactful non-monetary shocks to the US and global economies that have contributed to the disconnection between growth and interest rates: A prolonged period of US household deleveraging from 2008-2014 The Euro Area sovereign debt crisis Fiscal austerity in the US, UK, and Euro Area from 2010 – 2012/2014 The US dollar / oil price shock of 2014 The rise of populist economic policies, such as the UK decision to leave the European Union, and the US-initiated trade war of 2018-2019. Among these shocks to growth, social media has had a clear impact on two of them. In the case of austerity in the aftermath of the Great Recession, a sharp rise in fiscal conservatism in 2009 and 2010, emblematized by the rise of the US Tea Party, profoundly affected the 2010 US midterm elections. It is not surprising that there was a fiscally conservative backlash following the crisis: the US budget deficit and debt-to-GDP ratio soared after the economy collapsed and the government enacted fiscal stimulus to bail out the banking system. And midterm elections in the US often lead to significant gains for the opposition party However, Tea Party supporters rapidly took up a new means of communicating to mobilize politically, and there is evidence that this contributed to their electoral success. Chart II-6 illustrates that the number of tweets with the Tea Party hashtag rose significantly in 2010 in the lead-up to the election, which saw the Republican Party take control of the House of Representatives as well as the victory of several Tea Party-endorsed politicians. Table II-1 highlights that Tea Party candidates, who rode the wave of fiscal conservatism, significantly outperformed Democrats and non-Tea Party Republicans in the use of Twitter during the 2010 campaign, underscoring that social media use was a factor aiding outreach to voters. Chart II-6Tea Party Supporters Rapidly Adopted Social Media To Mobilize Politically Tea Party Supporters Rapidly Adopted Social Media To Mobilize Politically Tea Party Supporters Rapidly Adopted Social Media To Mobilize Politically Table II-1Tea Party Candidates Significantly Outperformed In Their Use Of Social Media August 2021 August 2021   And while it is more difficult to analyze the use and impact of Facebook by Tea Party candidates and supporters owing to inherent differences in the structure of the Facebook platform, interviews with core organizers of both the Tea Party and Occupy Wall Street movements have noted that activists in these ideologically opposed groups viewed Facebook as the most important social networking service for their political activities.2 Under normal circumstances, we agree that fiscal policy should be symmetric, with reduced fiscal support during economic expansions following fiscal easing during recessions. But in the context of multi-year household deleveraging, the fiscal drag that occurred in following the 2010 midterm elections was clearly a policy mistake. This mistake occurred partially under full Democratic control of government and especially under a gridlocked Congress after 2010. Chart II-7 highlights that the contribution to growth from government spending turned sharpy negative in 2010 and continued to subtract from growth for some time thereafter. In addition, panel of Chart II-7 highlights that the US economic policy uncertainty index rose in 2010 after falling during the first year of the recovery, reaching a new high in 2011 during the Tea Party-inspired debt ceiling crisis. Chart II-7The Fiscal Drag That Followed The 2010 Midterm Elections Was A Clear Policy Mistake The Fiscal Drag That Followed The 2010 Midterm Elections Was A Clear Policy Mistake The Fiscal Drag That Followed The 2010 Midterm Elections Was A Clear Policy Mistake Chart II-8Policy Mistakes Significantly Contributed To Last Cycle's Subpar Growth Profile Policy Mistakes Significantly Contributed To Last Cycle's Subpar Growth Profile Policy Mistakes Significantly Contributed To Last Cycle's Subpar Growth Profile In addition to the negative impact of government spending on economic growth, this extreme uncertainty very likely damaged confidence in the economic recovery, contributing to the subpar pace of growth in the first half of the last economic expansion. Chart II-8 highlights the weak evolution in real per capita GDP from 2009-2019 compared with previous economic cycles, which was caused by a prolonged household balance sheet recovery process that was made worse by policy mistakes. To be sure, the UK and the EU did not have a Tea Party, and yet political elites imposed fiscal austerity. It is also the case that President Obama was the first president to embrace social media as a political and public relations tool. So it cannot be said that either social media or the Republican Party are uniquely to blame for the policy mistakes of that era. But US fiscal policy would have been considerably looser in the 2010s if not for the Tea Party backlash, which was partly enabled by social media. Too tight of fiscal policy in turn fed populism and produced additional policy mistakes down the road. From Fiscal Drag To Populism While social media is clearly not the root cause of the recent rise of populist policies, it has had a hand in bringing them about – in both a direct and indirect manner. The indirect link between social media use and the rise in populist policies has mainly occurred through the highly successful use of social media by international terrorist organizations (chiefly ISIL) and its impact on sentiment toward immigration in several developed market economies. Chart II-9Terrorism And Immigration Likely Contributed To Brexit Terrorism And Immigration Likely Contributed To Brexit Terrorism And Immigration Likely Contributed To Brexit Chart II-9 highlights that public concerns about immigration and race in the UK began to rise sharply in 2012, in lockstep with both the rise in UK immigrants from EU accession countries and a series of events: the Syrian refugee crisis, the establishment and reign of the Islamic State, and three major terrorist attacks in European countries for which ISIL claimed responsibility. Given that the main argument for “Brexit” was for the UK to regain control over its immigration policies, these events almost certainly increased UK public support for withdrawing from the EU. In other words, it is not clear that Brexit would have occurred (at least at that moment in time) without these events given the narrow margin of victory for the “leave” campaign. The absence of social media would not have prevented the rise of ISIL, as that occurred in response to the US’s precipitous withdrawal from Iraq. The inevitable rise of ISIL would still have generated a backlash against immigration. Moreover, fiscal austerity in the UK and EU also fed other grievances that supported the Brexit movement. But social media accelerated and amplified the entire process.  Chart II-10Brexit Weakened UK Economic Performance Prior To The Pandemic Brexit Weakened UK Economic Performance Prior To The Pandemic Brexit Weakened UK Economic Performance Prior To The Pandemic Chart II-10 presents fairly strong evidence that Brexit weakened UK economic performance relative to the Euro Area prior to the pandemic, with the exception of the 2018-2019 period. In this period Euro Area manufacturing underperformed during the Trump administration’s trade war as a result of its comparatively higher exposure to automobile production and its stronger ties to China. Panel 2 highlights that GBP-EUR fell sharply in advance of the referendum, and remains comparatively weak today. Turning to the US, Donald Trump’s election as US President in 2016 was aided by both the direct and indirect effects of social media. In terms of indirect effects, Trump benefited from similar concerns over immigration and terrorism that caused the UK to leave the EU: Chart II-11 highlights that terrorism and foreign policy were second and third on the list of concerns of registered voters in mid-2016, and Chart II-12 highlights that voters regarded Trump as the better candidate to defend the US against future terrorist attacks. Chart II-11Terrorism Ranked Highly As An Issue In The 2016 US Election August 2021 August 2021 Chart II-12Voters Regarded Trump As Better Equipped To Defend Against Terrorism August 2021 August 2021 Trump’s election; and the enactment of populist policies under his administration, were directly aided by Trump’s active use of social media (mainly Twitter) to boost his candidacy. Chart II-13 highlights that there were an average of 15-20 tweets per day from Trump’s Twitter account from 2013-2015, and 80% of those tweets occurred before he announced his candidacy for president in June 2015. This strongly underscores that Trump mainly used Twitter to lay the groundwork for his candidacy as an unconventional political outsider rather than as a campaign tool itself, which distinguishes his use of social media from that of other politicians. In other words, new technology disrupted the “good old boys’ club” of traditional media and elite politics. Some policies of the Trump administration were positive for financial markets, and it is fair to say that Trump fired up animal spirits to some extent: Chart II-14 highlights that the Tax Cuts and Jobs Act caused a significant rise in stock market earnings per share. But the Trump tax cuts were a conventional policy pushed mostly by the Congressional leadership of the Republican Party, and they did not meaningfully boost economic growth. Chart II-15 highlights that, while the US ISM manufacturing index rose sharply in the first year of Trump’s administration, an uptrend was already underway prior to the election as a result of a significant improvement in Chinese credit growth and a recovery in oil prices after the devastating collapse that took place in 2014-2015. Chart II-13Trump Used Twitter To Lay The Groundwork For His Candidacy Trump Used Twitter To Lay The Groundwork For His Candidacy Trump Used Twitter To Lay The Groundwork For His Candidacy Chart II-14The Trump Tax Cuts A Huge Rise In Corporate Earnings The Trump Tax Cuts A Huge Rise In Corporate Earnings The Trump Tax Cuts A Huge Rise In Corporate Earnings   Chart II-15But The Tax Cuts Did Not Do Much To Boost Growth But The Tax Cuts Did Not Do Much To Boost Growth But The Tax Cuts Did Not Do Much To Boost Growth Similarly, Chart II-15 highlights that the Trump trade war does not bear the full responsibility of the significant slowdown in growth in 2019, as China’s credit impulse decelerated significantly between the passage of the Tax Cuts and Jobs Act and the onset of the trade war because Chinese policymakers turned to address domestic concerns. Chart II-16The Trade War Caused An Explosion In Global Trade Uncertainty The Trade War Caused An Explosion In Global Trade Uncertainty The Trade War Caused An Explosion In Global Trade Uncertainty But Chart II-16 highlights that the aggressive imposition of tariffs, especially between the US and China, caused an explosion in trade uncertainty even when measured on an equally-weighted basis (i.e., when overweighting trade uncertainty, in countries other than the US and China), which undoubtedly weighed on the global economy and contributed to a very significant slowdown in US jobs growth in 2019 (panel 2). Moreover, Chinese policymakers responded to the trade onslaught by deleveraging, which weighed on the global economy; and consolidating their grip on power at home. In essence, Trump was a political outsider who utilized social media to bypass the traditional media and make his case to the American people. Other factors contributed to his surprising victory, not the least of which was the austerity-induced, slow-growth recovery in key swing states. While US policy was already shifting to be more confrontational toward China, the Trump administration was more belligerent in its use of tariffs than previous administrations. The trade war thus qualifies as another policy shock that was facilitated by the existence of social media. Viewing Social Media As A Negative Productivity-Innovation A rise in fiscal conservatism leading to misguided austerity, the UK’s decision to leave the European Union, and the Trump administration’s trade war have represented significant non-monetary shocks to both the US and global economies over the past 12 years. These shocks strongly contributed to the subpar growth profile of the last economic expansion, as demonstrated above. Chart II-17Policy Mistakes, Partially Enabled By Social Media, Reduced Productivity During The Last Expansion Policy Mistakes, Partially Enabled By Social Media, Reduced Productivity During The Last Expansion Policy Mistakes, Partially Enabled By Social Media, Reduced Productivity During The Last Expansion Given the above, it is reasonable for investors to view social media as a technological innovation with negative productivity growth, given that it has facilitated policy mistakes during the last economic expansion. Chart II-17 underscores this point, by highlighting that multi-factor productivity growth has been extremely weak in the post-GFC environment. While productivity is usually driven by supply-side factors over the longer term, it has a cyclical component to it – and in the case of the last economic expansion, the cyclical component was long lasting in nature. Any forces negatively impacting economic growth that do not change the factors of production necessarily reduce measured productivity; it is for this reason that measured productivity declines during recessions; and policy mistakes negatively impact productivity growth. The Risk Of Aggressive Austerity Seems Low Today… Chart II-18State & Local Government Finances Are In Much Better Shape Today State & Local Government Finances Are In Much Better Shape Today State & Local Government Finances Are In Much Better Shape Today Fiscal austerity in the early phase of the last economic cycle was the first social media-linked shock that we identified, but the risk of aggressive austerity appears low today. Much of the fiscal drag that occurred in the aftermath of the global financial crisis happened because of insufficient financial support to state and local governments – and the subsequent refusal by Congress to authorize more aid. But Chart II-18 highlights that state and local government finances have already meaningfully recovered, on the back of bipartisan stimulus in 2020, while the American Rescue Plan provides significant additional funding. While it is true that US fiscal policy is set to detract from growth over the coming 6-12 months, this will merely reflect the unwinding of fiscal aid that had aimed to support household income temporarily lost, as a result of a drastic reduction in services spending. As we noted in last month’s report,3 goods spending will likely slow as fiscal thrust turns to fiscal drag, but services spending will improve meaningfully – aided not just by a post-pandemic normalization in economic activity, but also by the deployment of some of the sizable excess savings that US households have accumulated over the past year. Fiscal drag will also occur outside of the US next year. For example, the IMF is forecasting a two percentage point increase in the Euro Area’s cyclically-adjusted primary budget balance, which would represent the largest annual increase over the past two decades. But here too the reduction in government spending will reflect the end of pandemic-related income support, and is likely to occur alongside a positive private-sector services impulse. During the worst of the Euro Area sovereign debt crisis, the impact of austerity was especially acute because it was persistent, and it occurred while the output gap was still large in several Euro Area economies. Chart II-19 highlights that Euro Area fiscal consolidation from 2010-2013 was negatively correlated with economic activity during that period, and Chart II-20 highlights that, with the potential exception of Spain, this austerity does not appear to have led to subsequently stronger rates of growth. Chart II-19Euro Area Austerity Lowered Growth During The Consolidation Phase… August 2021 August 2021 Chart II-20…And Did Not Seem To Subsequently Raise Growth August 2021 August 2021   This experiment in austerity led the IMF to conclude that fiscal multipliers are indeed large during periods of substantial economic slack, constrained monetary policy, and synchronized fiscal adjustment across numerous economies.4 Similarly, attitudes about austerity have shifted among policymakers globally in the wake of the populist backlash. Given this, despite the significant increase in government debt levels that has occurred as a result of the pandemic, we strongly doubt that advanced economies will attempt to engage in additional austerity prematurely, i.e., before unemployment rates have returned close-to steady-state levels. …But The Risk Of Protectionism And Other Populist Measures Looms Large The role that social media has played at magnifying populist policies should be concerning for investors, especially given that there has been a rising trend towards populism over the past 20 years. In a recent paper, Funke, Schularick, and Trebesch have compiled a cross-country database on populism dating back to 1900, defining populist leaders as those who employ a political strategy focusing on the conflict between “the people” and “the elites.” Chart II-21 highlights that the number of populist governments worldwide has risen significantly since the 1980s and 1990s, and Chart II-22 highlights that the economic performance of countries with populist leaders is clearly negative. Chart II-21Populism Has Been On The Rise For The Past 30 Years August 2021 August 2021 The authors found that countries’ real GDP growth underperformed by approximately one percentage point per year after a populist leader comes to power, relative to both the country’s own long-term growth rate and relative to the prevailing level of global growth. To control for the potential causal link between economic growth and the rise of populist leaders, Chart II-23 highlights the results of a synthetic control method employed by the authors that generates a similar conclusion to the unconditional averages shown in Chart II-22: populist economic policies are significantly negative for real economic growth. Chart II-22Populist Leaders Are Clearly Growth Killers Even After… August 2021 August 2021 Chart II-23… Controlling For The Odds That Weak Growth Leads To Populism August 2021 August 2021 Chart II-24Inequality: The Most Important Structural Cause Of Populism And Polarization Inequality: The Most Important Structural Cause Of Populism And Polarization Inequality: The Most Important Structural Cause Of Populism And Polarization This is especially concerning given that wealth and income inequality, perhaps the single most important structural cause of rising populism and political polarization, is nearly as elevated as it was in the 1920s and 1930s (Chart II-24). This trend, at least in the US, has been exacerbated by a decline in public trust of mainstream media among independents and Republicans that began in the early 2000s and helped to fuel the public’s adoption of alternative news and social media. The decline in trust clearly accelerated as a result of erroneous reporting on what turned out to be nonexistent weapons of mass destruction in Iraq and other controversies of the Bush administration. Chart II-21 showed that the rise in populism has also yet to abate, suggesting that social media has the potential to continue to amplify policy mistakes for the foreseeable future. It is not yet clear what economic mistakes will occur under the Biden administration, but investors should not rule out the possibility of policies that are harmful for growth. The likely passage of a bipartisan infrastructure bill or a partisan reconciliation bill in the second half of this year will most likely be the final word on fiscal policy until at least 2025,5 underscoring that active fiscal austerity is not likely a major risk to investors. Spending levels will probably freeze after 2022: Republicans will not be able to slash spending, and Democrats will not be able to hike spending or taxes, if Republicans win at least one chamber of Congress in the midterms (as is likely). Biden has preserved the most significant of Trump’s protectionist policies by maintaining US import tariffs against China, and the lesson from the Tea Party’s surge following the global financial crisis is that major political shifts, magnified by social media, can manifest themselves as policy with the potential to impact economic activity within a two-year window. Attitudes toward China have shifted negatively around the world because of deindustrialization and now the pandemic.6 White collar workers in DM countries have clearly fared better during lockdowns than those of lower-income households. This has created extremely fertile ground for a revival in populist sentiment, which could force the Biden administration or Congressional Democrats toward protectionist or otherwise populist actions over the coming year, in the lead up to the 2022 mid-term elections. Investment Conclusions In this report, we have documented the historical link between social media, populism, and policy mistakes during the last economic expansion. It is clear that neither social media nor even populism is solely responsible for all mistakes – the UK’s and EU’s ill-judged foray into austerity was driven by elites. Furthermore, we have not addressed in this report the impact of populism on actions of emerging markets, such as China and Russia, whose own behavior has dealt disinflationary blows to the global economy. Nevertheless, populism is a potent force that clearly has the power to harness new technology and deliver shocks to the global economy and financial markets. The risks of additional mistakes from populism are still present, and that is even before considering other risks to society from social media: a reduction in mental health among young social media users, and the role that social media has played in spreading misinformation – contributing to the vaccine hesitancy in some DM countries that we discussed in Section 1 of our report. Two investment conclusions emerge from our analysis. First, we noted in our April report that there is a chance that investor expectations for the natural rate of interest (“R-star”) will rise once the economy normalizes post-pandemic, but that this will likely not occur as long as investors continue to believe in the narrative of secular stagnation. Despite the fact that the past decade’s shocks occurred against the backdrop of persistent household deleveraging (which has ended in the US), these shocks reinforced that narrative, and any additional policy shocks following a return to economic normality will again be seen by both investors and the Fed as strong justification for low interest rates. Thus, while the rapid closure of output gaps in advanced economies over the coming year argues for both cyclically and structurally higher bond yields, a revival in protectionist sentiment is a risk to this view that we will be closely monitoring over the coming 12-24 months. Chart II-25The Underperformance Of Social Media Would Not Excessively Weigh On The Broad Market The Underperformance Of Social Media Would Not Excessively Weigh On The Broad Market The Underperformance Of Social Media Would Not Excessively Weigh On The Broad Market Second, for tech investors, the bipartisan shift in public sentiment to become more critical of social media companies is gradually becoming a real risk, potentially affecting user growth. Based solely on Facebook, Twitter, Pinterest, and Snapchat, social media companies do not account for a very significant share of the overall equity market (Chart II-25), suggesting that the impact of a negative shift in sentiment toward social media companies would not be an overly significant event for equity investors in general. Chart II-25 highlights that the share of social media companies as a percent of the broad tech sector rises if Google is included; YouTube accounts for less than 15% of Google’s total advertising revenue, however, suggesting modest additional exposure beyond the solid line in Chart II-25. Still, investors with concentrated positions in social media stocks should be aware of the potential idiosyncratic risks facing social media companies as a result of the public’s impression of the impact of social media on society. If social media companies come to be widely associated with political gridlock, the polarization of society, and failed economic policies (as already appears to be the case), then the fundamental performance of these stocks is likely to be quite poor regardless of whether or not tech companies ultimately enjoy a relatively friendly regulatory environment under the Biden administration. Jonathan LaBerge, CFA Vice President The Bank Credit Analyst III. Indicators And Reference Charts BCA’s equity indicators highlight that the “easy” money from expectations of an eventual end to the pandemic have already been made. Our technical, valuation, and sentiment indicators are very extended, highlighting that investors should expect positive but modest returns from stocks over the coming 6-12 months. Our monetary indicator has aggressively retreated from its high last year, reflecting a meaningful recovery in government bond yields since last August. The indicator still remains above the boom/bust line, however, highlighting that monetary policy remains supportive for risky asset prices. Forward equity earnings are pricing in a substantial further rise in earnings per share, but for now there is no meaningful sign of waning forward earnings momentum. Net revisions remain very strong, and positive earnings surprises have risen to their highest levels on record. Within a global equity portfolio, global ex-US equities have underperformed alongside cyclical sectors, banks, and value stocks more generally. On a 12-month time horizon, we would recommend that investors position for the underperformance of financial assets that are negatively correlated with long-maturity government bond yields. But investors more focused on the near term, we would note the potential for further underperformance of cyclical sectors, value stocks, international equities, and most global ex-US currencies versus the US dollar – depending heavily on the evolution of the medical situation in the US and the subsequent response from policymakers. The US 10-Year Treasury yield has fallen sharply since mid-March. This decline was initially caused by waning growth momentum, but has since morphed into concern about the impact of the delta variant of SARS-COV-2 and the implications for US monetary policy. 10-year Treasury yields are well below the fair value implied by a mid-2023 rate hike scenario, underscoring that the recent decline in long-maturity yields is overdone. The extreme rise in some commodity prices over the past several months has eased. Lumber prices have normalized, whereas industrial metals have moved mostly sideways since late-April and agricultural prices remain 13% below their early-May high. We had previously argued that a breather in commodity prices was likely at some point over the coming several months, and we would expect further declines in some commodity prices as supply chains normalize, labor supply recovers, and Chinese demand for metals slows. US and global LEIs remain very elevated, but are starting to roll over. Our global LEI diffusion index has declined very significantly, but this likely reflects the outsized impact of a few emerging market countries (whose vaccination progress is still lagging). Still-strong leading and coincident indicators underscore that the global demand for goods is robust, and that output is below pre-pandemic levels in most economies because of very weak services spending. The latter will recover significantly at some point over the coming year, as social distancing and other pandemic control measures disappear. EQUITIES: Chart III-1US Equity Indicators US Equity Indicators US Equity Indicators Chart III-2Willingness To Pay For Risk Willingness To Pay For Risk Willingness To Pay For Risk Chart III-3US Equity Sentiment Indicators US Equity Sentiment Indicators US Equity Sentiment Indicators   Chart III-4US Stock Market Breadth US Stock Market Breadth US Stock Market Breadth Chart III-5US Stock Market Valuation US Stock Market Valuation US Stock Market Valuation Chart III-6US Earnings US Earnings US Earnings Chart III-7Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Chart III-8Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance   FIXED INCOME: Chart III-9US Treasurys And Valuations US Treasurys And Valuations US Treasurys And Valuations Chart III-10Yield Curve Slopes Yield Curve Slopes Yield Curve Slopes Chart III-11Selected US Bond Yields Selected US Bond Yields Selected US Bond Yields Chart III-1210-Year Treasury Yield Components 10-Year Treasury Yield Components 10-Year Treasury Yield Components Chart III-13US Corporate Bonds And Health Monitor US Corporate Bonds And Health Monitor US Corporate Bonds And Health Monitor Chart III-14Global Bonds: Developed Markets Global Bonds: Developed Markets Global Bonds: Developed Markets Chart III-15Global Bonds: Emerging Markets Global Bonds: Emerging Markets Global Bonds: Emerging Markets   CURRENCIES: Chart III-16US Dollar And PPP US Dollar And PPP US Dollar And PPP Chart III-17US Dollar And Indicator US Dollar And Indicator US Dollar And Indicator Chart III-18US Dollar Fundamentals US Dollar Fundamentals US Dollar Fundamentals Chart III-19Japanese Yen Technicals Japanese Yen Technicals Japanese Yen Technicals Chart III-20Euro Technicals Euro Technicals Euro Technicals Chart III-21Euro/Yen Technicals Euro/Yen Technicals Euro/Yen Technicals Chart III-22Euro/Pound Technicals Euro/Pound Technicals Euro/Pound Technicals   COMMODITIES: Chart III-23Broad Commodity Indicators Broad Commodity Indicators Broad Commodity Indicators Chart III-24Commodity Prices Commodity Prices Commodity Prices Chart III-25Commodity Prices Commodity Prices Commodity Prices Chart III-26Commodity Sentiment Commodity Sentiment Commodity Sentiment Chart III-27Speculative Positioning Speculative Positioning Speculative Positioning   ECONOMY: Chart III-28US And Global Macro Backdrop US And Global Macro Backdrop US And Global Macro Backdrop Chart III-29US Macro Snapshot US Macro Snapshot US Macro Snapshot Chart III-30US Growth Outlook US Growth Outlook US Growth Outlook Chart III-31US Cyclical Spending US Cyclical Spending US Cyclical Spending Chart III-32US Labor Market US Labor Market US Labor Market Chart III-33US Consumption US Consumption US Consumption Chart III-34US Housing US Housing US Housing Chart III-35US Debt And Deleveraging US Debt And Deleveraging US Debt And Deleveraging   Chart III-36US Financial Conditions US Financial Conditions US Financial Conditions Chart III-37Global Economic Snapshot: Europe Global Economic Snapshot: Europe Global Economic Snapshot: Europe Chart III-38Global Economic Snapshot: China Global Economic Snapshot: China Global Economic Snapshot: China   Jonathan LaBerge, CFA Vice President The Bank Credit Analyst Footnotes 1 Please see China Investment Strategy Weekly Report “Moderate Releveraging And Currency Stability: An Impossible Dream?” dated September 5, 2018, available at cis.bcaresearch.com 2 Grassroots Organizing in the Digital Age: Considering Values and Technology in Tea Party and Occupy Wall Street by Agarwal, Barthel, Rost, Borning, Bennett, and Johnson, Information, Communication & Society, 2014. 3 Please see The Bank Credit Analyst “July 2021,” dated June 24, 2021, available at bca.bcaresearch.com 4 “Are We Underestimating Short-Term Fiscal Multipliers?” IMF World Economic Outlook, October 2012 5 Please see US Political Strategy Outlook "Third Quarter Outlook 2021: Game Time," dated June 30, 2021, available at usps.bcaresearch.com 6 “Unfavorable Views of China Reach Historic Highs in Many Countries,” PEW Research Center, October 2020.
Highlights The Auto and Components industry group is in the middle of a momentous transition to electric and autonomous-vehicle manufacturing thanks to technological advances in battery storage, AI, and radars. The entire EV cohort will benefit from government support for decarbonization, the preferences of millennials for green tech, and cutting-edge technological innovation. Further, the price of gas has recently nearly doubled, average US vehicles are more than 12 years old, while most US consumers came out of recession unscathed. Is this the time for consumers to upgrade to EVs? Legacy Automakers are to be primary beneficiaries of the theme: Higher earnings and greater economic visibility regarding EV transition should lead to further rerating of the industry group. These carmakers are also turning into Growth stocks as an expected surge in earnings is far in the future. Tesla has already had an amazing run. Even though it is 30% down from its peak, it remains expensive, and much of the growth expectations are already baked into the price. We recommend staying neutral on Tesla as it is a “cult” stock and a surge “to the moon” is not out of question. Ecosystem: The surge in EV capex and R&D spending will give a boost to the entire supply chain, which consists of chip manufacturers, battery and lidar R&D, part manufacturers, and charging networks. Many of these companies are still small. An ETF may be the best way to capture these names. Existing EV themed ETFs may not be perfect: Many have holdings that are way too broad and over-diversified, most invest outside of the US. Yet, these are the convenient vehicles to capture the theme and provide exposure to the entire EV cohort. Some of the best-known ETFs are ARKQ, DRIV, IDRV, and KARS. We believe that the EV/AV theme will outperform the US equity market over the 3-12 months horizon. Overweighting EV is also consistent with our call to rotate into Growth as higher rates and the pick up in inflation appear to be priced in. Feature Auto And Components Industry Delivers Historical Technological Advances The auto industry is undergoing a monumental shift towards electric vehicles (EV) and autonomous driving thanks to technological advances in battery storage, AI, and radars. Transition to EV is happening at a fast pace: According to IEA, the number of EVs on the road increased from about 17,000 vehicles in 2010 to 7.9 million in 2019. Autonomous vehicles (AV) are still in a testing stage, but most automakers promise to put them on the road within the next decade. LMC Automotive forecasts that that by 2031, EVs will reach 17 million units, while AVs will approach one million in 2025. Investors are cheering on this transition: The MSCI USA Auto and Components sector has outperformed MSCI USA by over 300% (408% vs. 90%) since the pandemic trough in March 2020. The EV-themed ETF DRIV outperformed by 95%. In this Special Report we provide an overview of the EV and AV industries and their emerging ecosystem. It is structured as following: First, we discuss the tailwind for transitioning towards EV. Second, we identify the key players in the EVs and AVs space. Third, we look at ways that investors can best get exposure to the EV theme and provide an investment outlook for the space. EV Tailwinds: Biden Administration Pushes Toward “Clean Tech”, Millennials Cheer The Biden administration’s push toward decarbonization of the economy will further accelerate transition towards EVs with a host of fiscal, infrastructure, and executive actions, such as tax credits, scrappage incentives, and government purchases. The White House’s $1.7-2.3 trillion infrastructure bill – which is highly likely to pass by the end of the year with green initiatives intact – includes a $15 billion buildout of 500,000 charging stations (there are currently only 27,000 in operation). Executive action by President Biden has also tightened fuel-economy standards. Individual states like California have committed to zero-emission standards by 2030. Add this to the emerging preferences of millennials for clean tech, and fully electric vehicles are expected to account for 33% of all US auto sales by 2030. Of course, there are EV adoption challenges: EV batteries remain expensive, adding approximately $10,000 to the price of a vehicle. Charging infrastructure is sparse, while EVs have relatively limited driving ranges and long charging times. But even these obstacles will be resolved sooner rather then later. According to Cathie Wood, CEO and CIO of the ARK (thematic) ETFs, EVs will approach sticker parity with gas-powered cars as soon as 2023. And there are a number of new entrants developing charging networks. Even driving ranges are increasing with Lucid promising 500 miles per charge (Chart 1). Key Players In The US Market Tesla: Enormous Potential But Competition Is Catching Up Tesla is a pioneer of battery electric vehicles (BEV), rewarded with sky-high valuations and deep pockets. Its stock had a spectacular run, rising ten-fold in two years, getting ahead of itself: It is down 30% from its January peak. So what is the bull case for Tesla that justifies the multiples, and may be considered a catalyst for future outperformance? After all, manufacturing of EVs is likely to become a highly competitive and low-margin business. Tesla has four unique advantages that constitute its competitive “moat”: An extensive supercharger network in the US and worldwide. Its push towards increased vertical integration into capabilities such as battery manufacturing and other key enabling technologies would allow it to maintain a technological edge over competition, as well as protect the company against any potential supply-chain disruptions. A mobility ecosystem, especially of data and network, turning the car into “mobile real estate”, powered by the cloud and fueled ultimately by thousands of exabytes of data. A host of auxiliary businesses: Energy, insurance, mobility/rideshare, network services and third-party battery supply. However, despite its tremendous long-term potential, Tesla has only recently become profitable (Chart 2). Further, we can’t discount a possibility that Tesla’s dominance may come to an end. Not only are Ford and GM gearing up their EV operations, but also European and Asian vehicle manufacturers such as VW, BMW, Hyundai, and Toyota present a significant competitive threat. Further, Chinese EVs, such as NIO, Geely, BYD, and XPEV, could erode Tesla’s market share in the Chinese market. Chart 1EV Will Reach Price Parity With ICE In 2023 EV Revolution EV Revolution Chart 2Tesla Has Only Recently Become Profitable Tesla Has Only Recently Become Profitable Tesla Has Only Recently Become Profitable Ford And GM Are Firmly Committed To EV Legacy automakers, such as Ford and GM, have no choice but to move aggressively into the EV space in order to survive the imminent regulatory push in Europe and the US to eliminate fossil-fuel cars. Also succeeding in the EV space is necessary to stave off competition from Tesla and other EV and legacy automakers (Chart 3). Recently, GM announced that it would accelerate its EV timeline and develop 30 new EV models by 2025, transitioning to 100% EV by 2035. It is targeting global EV sales of more than 1 million by 2025. On the heels of that announcement, Ford pledged to become all electric in Europe by 2030. The company anticipates that 40% of its global vehicle volume will be fully electric by 2030. Chart 3GM And Ford Need to Stave Off Competition From Tesla GM And Ford Need to Stave Off Competition From Tesla GM And Ford Need to Stave Off Competition From Tesla The transition to EV is a major endeavor for all legacy automakers but, if successful, they will reap significant rewards by means of higher sales and profits as EVs become increasingly more popular. They will also emerge as prime competitors of Tesla. Waymo (Alphabet) Alphabet’s Waymo launched its first autonomous ride-hailing network in Arizona but will need time and significant resources to scale nationally. The company is also developing both local and long-haul AV networks to transport goods. So far the company has not been profitable, struggling to commercialize the product efficiently. New EV Players There is a host of newcomers into the EV/AV space in the US. Furthest down the path in the light-vehicle market are Lucid, Fisker, and Electrameccanica (Solo). Workhorse Group, and the controversial Nikola are most established in the truck space. There are also EV recreational vehicle makers such as Canoe and Green Power Motors. EV/Autonomous Vehicles Ecosystem There is a brand new ecosystem developing around EVs, with suppliers providing batteries, radars, and charging stations. The industry is highly fragmented, and most smaller suppliers on the cutting edge of technological innovation are too small to be part of any index just yet or are not even public yet. Batteries The recently IPO’d QuantumScape has developed a breakthrough technology for a battery that charges in just 15 minutes. The company has received significant investment from VW. Solid Power is its newest competitor, still privately owned. Romeo Power develops batteries for big trucks, buses, and construction equipment. And XL Fleet supports EV conversions for commercial vehicles. Lidars Companies like Luminar and Velodyne use Lidar technology to improve the 3-D “vision” of the self-driving cars. These ventures demand large investments into capex and R&D, but present significant future revenue opportunities to the winners. Waymo (Alphabet) relies on Lidar technology for its fleet of AV vehicles. Charging Networks There are also a few companies focused on developing private charging networks, overcoming the main obstacle on the path to EV adoption – the need for ubiquitous availability of charging stations: ChargePoint, EVBox and Volta. Chipmakers All these vehicles are powered by chips produced by Nvidia, Qualcomm, Micron, and other semiconductor manufacturers, and technological improvements taking place in this industry are literally exponential. It is not clear yet which of these entrants are here to stay and, in a way, the EV and AV industry should remind investors of biotech: Each of these companies requires only a small allocation as part of an EV basket in order to capture the 100-bagger future winners. Where Do You Find The EV/AV Theme In Equity Indices? EV Companies And Suppliers Are Spread Across A Multitude Of Sectors This may sound like a silly question. The answer is seemingly obvious: In the Auto and Components Industry Group. However, there is a whole host of companies that are part of the ecosystem that are neither in the S&P 500/MSCI USA nor in the Auto and Components industry group. Nvidia, Micron, and Qualcomm are chipmakers assigned to the Technology sector. Alphabet’s self-driving business unit, Waymo, sits within Communications Services. Velodyne (recently added to the Russell 2000), Luminar, Quantumscape, and XL Fleet are small caps. There are also a number of special purpose acquisition companies (SPACs) that are in the process of merging with EV companies (Lucid, Faraday, ChargePoint, etc.). Auto And Components Industry Group Is Dwarfed By Tesla Moreover, a key issue with Auto and Components GICS2 is that it is dominated by a few large companies: Ford, GM, and Tesla account for 90% of the segment by market cap. The rest is divided among several autoparts manufacturers. Moreover, despite generating sales equal to only a quarter of the sales of GM or Ford (in 2020 $31 billion vs $122 billion for GM and $116 billion for Ford), Tesla alone represents roughly 3/4 of the industry group by market cap, being five times larger than Chrysler and GM combined (Chart 4). In terms of market share, Ford and GM account for 6% and 9% of global auto sales respectively, while Tesla barely even registers on a radar at 0.8%. Tesla’s dominant position holds this industry group hostage to its price performance (Chart 5). Chart 4Tesla Dominates Auto & Components Industry Group EV Revolution EV Revolution Chart 5Performance Of Auto Industry Is Held Hostage By Tesla EV Revolution EV Revolution  Therefore, it is more effective to pursue the EV theme via a more balanced and diversified custom stock basket or ETF. Having said that, because of the size of the three largest automakers, we rely on MSCI USA Auto and Components industry group as a proxy for the EV/AV investment theme for analytical purposes. EV ETFs Are Mushrooming Recently there appeared a number of ETFs powered by EV/AV themes, cutting across GICS, such as ARKQ, IDRV, KARS, and DRIV. The ETFs BATT and LIT narrowly focus on EV batteries. These ETFs contain a wide range of companies cutting across industries (See Appendix for details) Excluding the broader-themed ARKQ (Autonomous Technology and Robotics), the DRIV ETF is the most widely traded. This ETF contains all the same companies as the MSCI USA Auto and Parts industry group, but also covers the entire EV/AV supply chain from miners to companies manufacturing opto-electronic components like IIVI. DRIV contains 77 names, and ranges from giants like Tesla and Microsoft to the tiny Plug Power. It is a global ETF and includes names like Nio, VW, and Toyota. Not a single name exceeds 4% weight. DRIV is 67% correlated with MSCI USA Auto and Components, and is generally less volatile, as it is more diversified across a variety of sectors (Table 1). Table 1EV/AV ETFs EV Revolution EV Revolution Key Revenue Drivers Reopening Trade And Global Growth Acceleration The Automobiles and Components industry group is a classic early cyclical, highly geared to economic growth, outperforming during the recovery stage of the business cycle. Global reopening has resulted in a sharp global growth acceleration and benefited US automakers’ sales at home and abroad. Indeed, total vehicle sales in the US have already exceeded pre-pandemic levels. The question is whether this surge may continue with a backdrop of a growth slowdown (albeit off high levels) and how fast supply-chain disruptions will be resolved. Consumers Are Flush With Cash Most vehicles are sold to consumers, whose sentiment and financial wellbeing are the key industry drivers. Ubiquitous vaccination and economy-wide reopening is increasing employment in the lower-paid cohorts most affected by lockdowns. Expiration of unemployment benefits and school reopening will see millions more returning to work this fall. Anticipating a surge in employment, consumer confidence has started to rebound, albeit off low levels. The most recent $1.9 trillion fiscal stimulus package with its $1,400 checks cut directly to consumers, bodes well for US auto sales. For many vehicles, this amount may be sufficient for a down-payment. Personal savings have increased by roughly $1.5 trillion from the January 2020 trough, and disposable income has increased by 6%. Coupled with low interest rates and an improvement in banks’ willingness to lend, US consumers are in an excellent shape to upgrade their vehicles (Charts 6 & 7). Chart 6Demand For Auto Loans Has Picked Up Demand For Auto Loans Has Picked Up Demand For Auto Loans Has Picked Up Chart 7Lending Standards for Auto Loans Eased Up Lending Standards for Auto Loans Eased Up Lending Standards for Auto Loans Eased Up However, plans to buy a new car have declined recently due to car shortages and a spike in prices. Supply Chain Disruptions Hurt Demand For Vehicles Pandemic has brought about unique challenges: Global pent-up demand and COVID-induced supply-chain disruptions led to a mismatch between supply and demand and resulted in sharp price acceleration across a wide range of goods. US automakers have been hit hard by the global chip shortage, resulting in plant shutdowns and lower output in some cases. Shortages of lithium, a key component of EV batteries, led to its price doubling. Transportation networks are also choked up, and delivery costs are up more than 30%. While these post-pandemic difficulties are transitory in nature, prices of vehicles spiked, making it the most volatile component of the latest CPI reading, with prices in May rising 16% YoY (Chart 8). Higher price tags and half-empty car lots at dealerships are dampening consumers’ intentions to upgrade their vehicles, despite their present financial wellbeing (Chart 9). Chart 8Prices Of Cars Surged Prices Of Cars Surged Prices Of Cars Surged Chart 9Supply Disruption Dampened Demand For Vehicles Supply Disruption Dampened Demand For Vehicles Supply Disruption Dampened Demand For Vehicles According to IHS Markit, the average age of vehicles on US roadways rose to a record 12.1 years last year, as lofty prices and improved quality prompted owners to hold on to their cars for longer. The average price for a new vehicle is $38,000, which is expensive for most Americans. However, there are early signs that supply disruptions are starting to dissipate: Production of motor vehicles rose 6.7% in May compared with a 5.7% decrease a month earlier. Once vehicle prices stabilize, or even correct, sales are likely to rebound. EV also enjoy a unique tailwind: The price of gasoline has doubled since the beginning of the year, making electric vehicles a more attractive proposition than gas-guzzling alternatives. Weaker Dollar Boosts Foreign Sales USD has weakened by 8% since the beginning of the pandemic. This bodes well for the US auto and parts manufacturers who derive about 1/3 of revenues from outside the US. A weaker USD not only stimulates demand by making vehicles cheaper for foreign buyers but will also benefit manufacturers' income statements via a currency-translation effect (Chart 10). Chart 10Weaker Dollar Boosts Foreign Sales Weaker Dollar Boosts Foreign Sales Weaker Dollar Boosts Foreign Sales Profitability Of Automakers Belt-tightening Of 2020 Is Unsustainable Margin compression has been a problem for the industry group for a while as a race to enhance existing vehicles and transition to EV has been weighing on profitability (Chart 11). However, in 2020, despite a dip in sales volume, US automakers were able to successfully manage margins, by reducing R&D expenses, capex, and labor costs, and by halting increases in dividends and buybacks, and enjoying lower prices of industrial metals. Maintaining this new lean cost structure is hardly sustainable. Chart 11Margins Are Under Pressure Margins Are Under Pressure Margins Are Under Pressure R&D And Capex Will Rise As Technological Innovation Demands Capital Outlays R&D and capex are likely to increase for the entire group. Legacy automakers are forced to operate on two distinct timelines by managing and investing in the immediate conventional vehicle production cycle, while concurrently preparing for the longer-term transition to a world of vehicle electrification and autonomous driving. Development of EVs requires deep pockets and substantial investments into both capex and R&D, which have been steadily rising (Charts 12 & 13). Chart 12R&D Expense Is Bound To Increase… R&D Expense Is Bound To Increase… R&D Expense Is Bound To Increase… Chart 13… As Is Capex EV Revolution EV Revolution Case in point, GM has recently announced a $35 billion investment into EV and AV, an increase of 75% from its initial pledge, an amount exceeding its gas and diesel investment. Not to be outdone, Ford has copied the move, pledging $30 billion on EV vehicle development, including battery development, by 2025. This is an increase of more than 35% over the $22 billion previously pledged. Clearly, commitment to EV siphons resources away from other businesses, and put pressures on automakers to keep up with competitors. Yet the market applauded these announcements by bidding up shares of both companies, implicitly saying that EV spending will lead to better future cashflows. Thus transition to EV moves auto stocks from the Value into the Growth camp, making the group more sensitive to interest rates. Runaway Cost Of Raw Materials Is Stabilizing Metals such as steel, iron, and aluminum comprise over 75% of the content of the car. The price of metals is particularly important to EV manufacturers as the body of an EV contains five times more steel than regular vehicles. In 2020 gross margin benefited from a dip in prices of industrial metals. However, the recent economic recovery has led to a rebound in the prices of commodities, with the GSCI Industrial Metals Index rising by more than 70% off the bottom and reaching 2010 levels (Chart 14). There are early signs that prices are stabilizing: The price of steel is down by 20%, copper by 13%, and aluminum by 6%, from their respective peaks (Chart 15). Chart 14Price Of Industrial Metals Have Spiked... Price Of Industrial Metals Have Spiked... Price Of Industrial Metals Have Spiked... Chart 15...But There Are Early Signs Of Correction ...But There Are Early Signs Of Correction ...But There Are Early Signs Of Correction High Operating Leverage Of Auto Manufacturers Amplified Earnings Growth Automakers and suppliers have high fixed-cost manufacturing facilities. As a result, their operating leverage is high, i.e., increases in sales are translated into even greater increases in profits. As 2021 sales are expected to rise, earnings will also continue to rebound, reaching or even exceeding pre-pandemic levels. Looking ahead, we expect earnings growth to decelerate as sales are likely to normalize while EV transitioning costs will continue to rise (Chart 16). However, eventually, EV investment will translate into higher sales volumes: Once new technology infrastructure is in place, the long-term profitability of the industry group will improve. Chart 16Earnings Are Rebounding To Pre-pandemic Levels Earnings Are Rebounding To Pre-pandemic Levels Earnings Are Rebounding To Pre-pandemic Levels Valuations: Significant Dispersion Within Industry Group The auto and parts industry has been underperforming the market since February 2020, with valuations coming down significantly. Looking under the hood, we observe a pronounced bifurcation between Tesla and other stocks (Table 2). Table 2Tesla Is Still Expensive, Ford and GM Are Cheap EV Revolution EV Revolution Tesla trades at an eye-watering 596x earnings (which is an improvement from 1,300x back in January) and 16.3x sales multiple. The company has enormous long-term potential, but over the short term it needs to grow into its valuations, as it has effectively “borrowed” returns from the future. Yet investors need to keep in mind that Tesla is a cult stock, and has a strong retail following: Continuation of an irrational speculative bubble is within the realm of possibility. Therefore, a neutral allocation to Tesla will be prudent. Legacy automakers and suppliers are still cheap despite a strong run off their market lows. Forward 12-month PE is in the single/low-double digit range. Low valuations indicate that there is still an overhang of uncertainty over the economic recovery and potential profitability of legacy car manufacturers and suppliers, along with lingering doubts about the success of the group in the EV space. However, there is a lot of room for long-term rerating once there is greater visibility (Chart 17). Chart 17With Tesla Down 30% From Peak, Industry Group Looks Cheaper With Tesla Down 30% From Peak, Industry Group Looks Cheaper With Tesla Down 30% From Peak, Industry Group Looks Cheaper Investment Outlook We have a positive 3-12-month outlook for the investment performance of the EV theme: The entire EV cohort will benefit from government support for decarbonization, the preference of millennials for green tech, and cutting-edge technological innovation. American vehicles are getting old, and consumers have financial resources to purchase new cars. Supply disruptions are gradually dissipating. Gasoline is getting expensive, but EV/ICE parity is near. Investing in automakers and suppliers, which are turning into growth companies with longer duration of cash flows, is also aligned with our thesis of rotating into Growth as rates have stabilized and the pick up in inflation has been priced in. Legacy Automakers are to be primary beneficiaries of the theme. Both Ford and GM are relatively inexpensive. Higher earnings and improved visibility on the success of EV transition should lead to further rerating. Tesla is also a quintessential growth company. However, unlike legacy automakers, it has already had an amazing run. Even though it is down from its peak, it remains expensive, and much of the positive expectations are already baked into price. We recommend staying neutral on Tesla as it is a “cult” stock and a surge “to the moon” is not out of the question. Ecosystem Surge in EV capex and R&D spending will have positive spill-over effect on EV ecosystem suppliers. These are small cap stocks and creating a well-diversified basket of names in battery, radar, chips and software will help capture returns of the long-term winners. Existing EV-themed ETFs may not be perfect: Many have holdings that are way too broad and over diversified, most invest outside of the US. Yet, these are convenient vehicles to capture the theme and provide exposure to the entire EV value chain, including emerging industry players. Bottom Line: The auto industry is undergoing a major technological disruption. This process is expensive and perilous yet presents an enormous future earnings growth opportunity. The ingredients for success are in place: Proliferation of new technologies, government support, changing consumer preferences, and surging US economy. This tide will lift all boats: Legacy and EV-only auto manufacturers and suppliers as well as EV ecosystem players. We are bullish on the sector on a 3-12 months investment horizon.   Irene Tunkel Chief Strategist, US Equity Strategy irene.tunkel@bcaresearch.com   Appendix Table A1EV/AV ETF Summary EV Revolution EV Revolution Recommended Allocation EV Revolution EV Revolution