Sectors

Overweight Consumer discretionary giant Home Depot has put together a string of solid earnings reports and outlook improvements that have served to keep the S&P home improvement retail index at its lofty levels for the past several years. We think more is to come. Lumber prices, though off the stratospheric levels they reached earlier this year, remain exceptionally high (second panel). Further, pricing power of household appliances continues to expand, thanks to more expensive imports resulting from tariffs put in place earlier this year (third panel). As home improvement retailers earn a spread on these key products, both sales and earnings should continue to expand; Home Depot's Q2 same store sales growth of 8% certainly underscores this point. While home improvement retail sales growth is likely to trail industry retail sales, we think as long as the six year run of earnings growth beating the S&P 500 continues (as we expect it will, bottom panel) investors should stay overweight. The ticker symbols for the stocks in this index are: BLBG: S5HOMI - HD, LOW.

Overweight On Monday of this week, President Trump signed the John S. McCain National Defense Authorization Act into law. Most significantly, the bill authorizes $717 billion in defense funding for FY2019, a small increase from the $696 billion in FY2018, which was a significant increase from the FY2016 $580 billion budget. The administration's commitment to returning military funding to wartime levels (regardless of budget constraints or geopolitical threat) are confirmed by defense spending surging at the fastest rate in nearly a decade (second panel). This is further reflected in the recovery in defense investment (bottom panel). We highlighted earlier this week that defense stocks should be winners in a trade war, particularly if such a war increases the threat of a more conventional one. Tack on above-normal earnings growth from exceptional government funding and defense stocks look even more appealing; stay overweight. The ticker symbols for the stocks in the BCA Defense index are: LMT, GD, RTN, NOC, LLL.

Special Report

Highlights China's policy headwinds have begun to recede, but Beijing is not riding to the rescue for emerging markets; While monetary policy has eased substantively, credit growth will be hampered by the government's financial crackdown; Potential changes to China's Macro-Prudential Assessment framework could be significant, but the impact on credit growth is overestimated at present; The recognition of non-performing loans (NPLs) and cleansing of China's banking system is still in early innings and will weigh on banks' risk appetite; The anti-corruption campaign is another reason to be cautious on EM. Geopolitical Strategy recommends clients stay overweight China (ex-tech) relative to EM. Feature In the first part of this two-part Special Report, we concluded that policy headwinds to China's economic growth have begun to recede, but recent easing measures will likely disappoint the markets.1 Chart 1Money Growth Bottomed, Credit Still Weak In essence, China is girding for a trade war with the United States, which favors stimulus. But it is still attempting to reduce systemic financial risk. As a result, fiscal stimulus may surprise to the upside, but credit growth will be lackluster. The problem for investors - especially for emerging market (EM) assets and the commodity complex - is that Chinese fiscal stimulus typically operates with a six-to-ten month lag, as opposed to credit stimulus which only takes about three months to kick in.2 July statistics confirm our suspicion that credit stimulus will be hampered by the government's crackdown on shadow banking. Total credit growth remains weak, although broad money (M2) does appear to be bottoming (Chart 1). Thus far, BCA's China Investment Strategy has been correct in characterizing the latest developments as "taking the foot off the brake" rather than "pressing down on the accelerator."3 In this report we take a deeper dive into the policy factors that cause us to limit our "stimulus overshoot" scenario to a 10% subjective probability. The three chief reasons are: overstated easing of macro-prudential controls; the continuing process of cleansing the banking sector of non-performing loans; and the anti-corruption campaign in the financial sector. A Preemptive Dodd-Frank Since the Xi administration redoubled its efforts to tackle systemic financial risk last year, we have urged investors to be cautious about Chinese growth.4 The creation of new institutions and new regulatory requirements set in motion processes that would be hard to reverse quickly. While these institutions are now making several compromises for the sake of stability, their operations will continue to weigh on credit growth. In July 2017, China's government held the National Financial Work Conference to address the major issues facing the country's financial system. This conference takes place once every five years and has often occasioned significant shakeups in financial regulation. In 1997, it initiated a sweeping purge of the banking system, and in 2002, it saw the creation of three financial watchdogs that would become critical institutional players throughout the 2000s.5 Chart 2Crackdown On Informal Credit Continues One of the skeletons in the closet from 2002 was the debate over whether financial regulation should be heavily centralized or divided among different, specialized, state agencies. Former Premier Wen Jiabao won the argument with the creation of the three watchdogs covering banking, securities, and insurance. After a series of controversies and conflicts, the Xi administration decided that these agencies had failed in their primary purpose of curbing systemic risk and ordered a reorganization with greater centralization. At the 2017 financial conference, Xi announced the creation of the Financial Stability and Development Committee (FSDC) to act as a centralized watchdog over the entire financial system. The FSDC would coordinate with the central bank, oversee macro-prudential regulation, and prevent systemic risk. Liu He, Xi's right-hand man on the economy and a policymaker with a hawkish reputation, was soon promoted to the Politburo and given the top job at the FSDC.6 As a second step, the Xi administration announced that it would combine the banking and insurance regulators into a single entity - the China Banking and Insurance Regulatory Commission (CBIRC). The CBIRC, to be headed by Xi ally, and notable hawk, Guo Shuqing, would continue and escalate the crackdown on shadow lending that Guo had begun at the helm of the bank watchdog in 2017 (Chart 2). The merging of the agencies would also close the regulatory gap that had seen the insurance regulator increase its dominion and rent-seeking by encouraging "excessive" financial innovation and risky pseudo-insurance products.7 The FSDC was expected, rightly, to bring a more hawkish tilt to Chinese macro-prudential regulation. In reference to the U.S.'s Financial Stability Oversight Council, we dubbed these moves a "Preemptive Dodd-Frank."8 We also argued, however, that the purpose was to bring unified command and control to financial regulation and that China would continue to prize stability above all. Therefore the degree of tightening or loosening should vary in accordance this goal.9 After a series of announcements in July and August, it is clear that China's government has shifted to a more accommodative posture (Chart 3). As usual, there are rumors of high-level political intrigue to go along with the policy shift: some argue that Premier Li Keqiang is making a comeback while Xi's golden boy, Liu He, has been sidelined due to his failure to forestall tariffs during his trade talks with Donald Trump this spring.10 Such rumors are valuable only in revealing the intensity of the policy debate in Beijing. Chart 3Monetary Policy Has Eased Substantively What is certain, however, is that the FSDC, with Liu He as chairman, only met for the first time as a fully assembled group in early July, just before the major easing measures were taken. This implies that any initial conclusions were pragmatic (i.e. not excessively hawkish). Moreover, Guo Shuqing is not only the CBIRC head but also the party secretary of the PBOC, meaning that central bank chief Yi Gang cannot have adopted easing measures without Guo's at least condoning it. Chinese policymakers see the recent easing measures as "fine-tuning" even as they continue the rollout of new regulatory institutions and systems. It is thus too soon to claim that Xi Jinping or any of these government bodies have thrown in the towel on their attempts to contain excessive leverage. Both the Politburo and the State Council - the highest party and state decision-makers - have made clear that they do not intend to endorse a massive stimulus on the magnitude of 2008-09 or 2015-16.11 They have also insisted that the "Tough Battle" against systemic financial risk, and the campaign to "deleverage" the corporate sector, will continue. What does this mean in practical terms? While new regulations will be compromised, they will also continue to be implemented. For example, authorities have watered down new regulations governing the $15 trillion asset management industry, yet the regulations are still expected to go into force by 2020. These rules will weigh on shadow banking activity (e.g. wealth management products) as banks prepare to meet the requirements.12 Two other examples are critical and will be discussed below: first, the potential easing of rules under the Macro Prudential Assessment (MPA) framework for stress-testing banks; second, this year's changes to rules governing non-performing loans (NPLs). In the former case, the degree of financial easing is potentially significant but at present overestimated by investors; in the latter case, the degree of tightening is already significant and widely underestimated. Bottom Line: New financial regulatory institutions will inherently suppress credit growth, especially by dragging on informal or non-bank credit growth. Macro-Prudential Assessments: Less Easing Than Meets The Eye A key factor in determining China's credit growth going forward will be banks' responses to any softening of the Macro Prudential Assessment (MPA) requirements. News reports have suggested that a relaxation of these rules may occur, but authorities have not finalized such a move. Furthermore, the impact on credit growth may be far less than the astronomical sums being floated around the investment community. The MPA framework began in 2016. It is an evaluative system of "stress-testing" China's banks each quarter. As such it is part of the upgrade of macro-prudential systems across the world in the aftermath of the global financial crisis, comparable to the American Financial Stability Oversight Committee or the European Systemic Risk Board.13 It is managed by the PBOC and the FSDC. The MPA divides banks into systemically important financial institutions and common institutions, and subdivides the former into those of national and regional importance. The evaluation method contains seven major criteria for assessing bank stability: Capital adequacy and leverage ratios; Bank assets and liabilities; Liquidity conditions; Pricing behavior for interest rates; Quality of assets; Cross-border financing; Execution of credit policy. The first and fourth of these criteria (capital adequacy and leverage ratios, and pricing behavior for interest rates) are in bold font because they result in a "veto" over the entire assessment: if a bank fails to maintain a sufficient capital buffer, or deviates too far from policy interest rates, it can fail the entire stress-test. Otherwise, failure of any two of the other five categories results in overall failure. A system of rewards and punishments awaits banks depending on how they perform (Diagram 1). Diagram 1China's Macro Prudential Assessment Framework Explained On July 20, the PBOC published a document saying that "in order to better regulate assets of financial institutions, during Macro Prudential Assessment (MPA), relevant parameters can be reasonably adjusted." Subsequently Reuters reported that the PBOC would reduce the "structural parameter" and the "pro-cyclical contribution parameter" of the capital adequacy ratio (CAR) requirements, thereby easing rules on one of the veto items. The structural parameter would fall from 1.0 to 0.5. Rumors suggest that the pro-cyclical parameter could fall from 0.4-0.8 to 0.3. No such changes have been finalized - only a few banks actually claim to have received notification of a change and there are regional differences. Clearly a general change of the rule would reduce regulatory constraints on bank credit. But how big would the impact be? Under the MPA, banks' CARs are not allowed to fall too far below the "neutral CAR," or C*, a variable that is calculated using the formula outlined in Diagram 2. Most of the variables in this formula will not change often: for instance, the minimum legal CAR will be slow to change, as will the capital reserve buffer and the bonus buffer for systemically important institutions. The one factor that can change frequently is the "discretionary counter-cyclical buffer," as it responds to the country's current place in the business cycle. Diagram 2China's Macro-Prudential Assessment Framework: Capital Adequacy Ratios The key input to this factor is broad credit growth. Thus, if authorities should reduce the CAR's cyclical parameter from a simple average of 0.6 to 0.3, broad credit growth could go higher without creating an excessive increase in the pro-cyclical buffer. In other words, at present about 60% of bank credit expansion in excess of nominal GDP growth counts toward a counter-cyclical capital buffer, which is added to other capital buffers. A tweak to this parameter could decrease that proportion to 30%, meaning that bank lending could go twice as high with the same impact on the counter-cyclical buffer. More significantly, if authorities should reduce the CAR's structural parameter from 1.0 to 0.5, any increase in credit growth would have a less dramatic impact on C*. Hence banks would be able to lend more while still keeping their neutral CAR within the appropriate range relative to their actual CAR. Banks could theoretically lend twice as much with the same impact on the assessment.14 On paper these changes could result in unleashing as much as 41.4 trillion RMB in new lending in 2018, or 28 trillion (33% of GDP) on top of what could have been expected without any adjustment to the macro-prudential rules. This is because broad credit growth would theoretically be allowed to grow as fast as 30% instead of 17%.15 But in reality this growth rate is extremely unlikely. Why? Because it assumes that banks will grow their lending books as rapidly as they are allowed. In fact, banks are currently increasing broad credit at a rate of about 10%, which is considerably lower than either today's or tomorrow's permitted rate of growth under the MPA framework (Chart 4). If tweaks to the MPA increase this speed limit to 30%, it does not mean that banks will drive any faster than they are already driving. They are lending at the current pace for self-interested reasons (and there is fear of excessive debt, default, or insolvency due to the government's ongoing regulatory and anti-corruption crackdown).16 Chart 4Banks Are Not Lending To The Regulatory Maximum Still, if the MPA rules are tweaked, then it will send a signal that macro-prudential scrutiny is abating and banks can lend more aggressively - this would have some positive effect on credit growth, at least for major banks that are secure in meeting their CARs. Moreover, there will be a practical consequence in that fewer banks will be punished for having insufficient CARs. At present, only rarely do banks fail the evaluations. But a strict CAR requirement during an economic downturn could change that. The proposed MPA adjustment would show that banks are graded on a sliding rule: the authorities would slide the grading scale downward to enable more banks to pass the test. This means fewer failures, which means fewer punitive measures that could upset liquidity or stability in the banking system. Ultimately, in order for the new system to have any credibility at all, punishment will have to be meted out to banks that fail the stress tests. A key punishment within the MPA system is exclusion from medium-term lending facility (MLF) loans from the PBOC. This is a regulatory action with teeth, as this is one of the PBOC's major means of injecting liquidity (Chart 5). A misbehaving bank could face short-term liquidity shortage or even insolvency. Therefore the authorities are opting to soften the rules so that the new regulatory system is preserved yet the harshest implications are avoided (for now). Chart 5Regulators Can Deprive Banks Of MLF Access This would be short-term gain for long-term pain, the opposite of what China needs from the standpoint of an investor looking for improvements to productivity and potential GDP growth. But it would not necessarily be a great boon for global risk assets in the near term. While it could help stabilize expectations for China's domestic growth, it is not clear that it would unleash a mass wave of new bank loans that would reaccelerate China's economy and put wings beneath EM assets and commodity prices. Bottom Line: Tweaking the MPA parameters is a clear example of policy easing. Yet the MPA system itself is a fairly rigorous means of stress-testing banks that is part of a much larger expansion of financial sector regulation. The results of the easier rules - if implemented - will not be as reflationary as might be expected from the headline 41 trillion RMB in new loans that could legally be created. Banks are already expanding loans more slowly than they are allowed to do, so increasing the speed limit will have little effect. The real purpose of the macro-prudential tweaks is to make it more difficult for banks to fail their stress tests in a downturn. As such, any tweaks would actually reveal that Chinese policymakers are expecting a more painful downturn, not that they are asking for a credit splurge. NPL Recognition Will Weigh On Credit Growth Another factor that we have highlighted that separates today's easing measures from outright stimulus: the growing recognition of non-performing loans (NPLs) in China's banks and the financial cleansing process. The government's reform push has already led to two trends that are relatively rare and notable in the Chinese context: rising corporate defaults (Chart 6) and rising bankruptcies (Chart 7). While the impact may be small relative to China's economic size, the direction of change is significant in a country that has been extremely averse to recognizing losses. Chart 6Defaults Are Rising Chart 7Creative Destruction In China These changes reflect the tightening of financial conditions and restructurings of various industries and as such are evidence of Xi's attempt to make progress on reforms while maintaining stability. They also reflect a general environment that is conducive to the realization of bad loans. Two recent policy decisions are affecting banks' accounting of bad loans. First, the CBIRC issued new guidance that eases NPL provision requirements for "responsible" banks (banks with good credit quality) while maintaining the existing requirements for "irresponsible" banks.17 Since the major state-controlled banks will largely meet the standards, they will be able to lend somewhat more (we estimate around 600 billion RMB or 0.7% of GDP). This would support the recent trend in which traditional bank lending rises as a share of total credit growth. Second, however, the CBIRC is requiring banks to reclassify all loans that are 90-or-more-days delinquent as NPLs, resulting in upward revisions of bank NPL ratios. This will send the official rate on an upward march toward 5%, from current extremely low 1.9% (Chart 8). It is the direction of change that matters, as NPL recognition can take on a life of its own. While many state banks may already have recognized the 90-day delinquent loans, many small and regional banks probably have not. Anecdotally, a number of small banks are reporting large NPL ratios as a result of the regulatory clampdown and definition change. Rural commercial banks, in particular, are in trouble with several showing NPLs in double digits (Chart 9). These small and regional banks will have until an unspecified date in 2019 to reclassify these loans and raise provisions against them. The result will hamper credit growth. Chart 8Bad Loan Ratios Set To Rise Chart 9City And Rural Commercial Banks Most At Risk Of Rising Bad Loans To get a more detailed picture of the NPL recognition process, we have updated our survey of 16 commercial banks listed on the A-share market.18 This research reveals that banks have continued to increase the amount of bad loans they have written off. While the NPL ratio has remained roughly the same, cumulative loan-loss write-offs combined with NPLs have reached 7% of total loans and are still rising (Chart 10). This shows that a cleansing process is well underway. It is concerning that write-offs have reached nearly 50% of pre-tax profits. And even as losses mount, the proportion of each year's losses to the previous year's NPLs has fallen, implying that the previous year's NPLs had grown bigger (Chart 11). Chart 10The Bank Cleansing Process Continues Chart 11Write-Offs Almost 50% Of Bank Profits Furthermore, while loan losses grow, the surveyed banks' profit growth has been reduced to virtually zero (Chart 12). Our updated "stress test" for Chinese banks, which is based on the same sample of 16 commercial banks, suggests that if total NPLs rise to a pessimistic, but still quite realistic, ratio of 13% (a weighted average of NPL ratio assumptions per sector, ranging from 10%-30%), then total losses could amount to 10.4 trillion RMB, or 12% of GDP (Table 1). Chart 12Write-Offs Weigh On##br## Bank Profit Growth Table 1Pessimistic Scenario Analysis ##br##For Commercial Bank NPLs In this scenario, banks' net equity would be impacted by 38% as this amount surpasses the buffer of net profits (1.75 trillion RMB) and NPL provisions (3 trillion). China's banks are well provisioned, but they would be less so after a hit of this nature. A similar stress-test by BCA's Emerging Markets Strategy found that equity impairment could range from 33%-49%, implying that Chinese banks were roughly 29% overvalued on a fair price-to-book-value basis.19 Looking at different economic sectors, it is apparent that domestic trade, manufacturing, and mining have seen the highest incidence of loans going sour (Table 2). In all three cases, it is reasonable to conjecture that the NPL ratio can continue to expand - and not only because of the definitional change. First, wholesale and retail (4.7%) consists largely of SMEs, and the government is publicly concerned about their ability to get credit. Second, manufacturing (3.9%) has been hit by changing trade patterns and rising labor costs and has not yet suffered the impact from recently imposed U.S. trade tariffs. Third, mining (3.6%) has felt the first wave of the impact from the government's cuts to overcapacity in recent years, but has seen very extensive restructuring and the fallout may continue. Table 2China: Troubled Sectors Can Produce More Bad Loans More realistic NPL recognition is an important and positive development for China over the long run. Over the short run, banks' efforts to write-off NPL losses will weigh on their willingness to lend and could pose a risk to overall economic activity. Bottom Line: The government's reform and restructuring efforts are initiating a process of creative destruction in the Chinese economy. This is most notable in the government's willingness to recognize NPLs, which will continue to weigh on credit growth. The government is trying to control the pace and intensity of this process, but we expect credit stimulus to be disappointing relative to fiscal stimulus as long as the financial regulatory crackdown is at least half-heartedly implemented. Anti-Corruption Campaign Is Market-Negative Another reason to expect total credit growth to remain subdued comes from the anti-corruption campaign and its probes into local government finances and the financial sector. Chart 13Anti-Corruption Campaign Trudges Onward One of the new institutions created in China's 2017-18 leadership reshuffle was the National Supervisory Commission (NSC). This is a powerful new commission that is capable of overseeing the highest state authority (the National People's Congress). It is also ranked above the formal legal system, the Supreme Court and the public prosecutor's office. It is charged with formalizing the anti-corruption campaign and extending it from the Communist Party into the state bureaucracy, including state-owned enterprises.20 Having operated for less than a year, it is not possible to draw firm conclusions about the doings of the NSC, let alone any macro impact. Tentatively, the commission has focused on financial and economic crimes that have the potential to create a "chilling effect" among government officials and bank executives.21 Notably, the NSC has investigated Lai Xiaomin, former chief executive of Huarong, the largest of the big four Asset Management Corporations (AMCs), i.e. China's "bad banks." There is more than one reason for Huarong to attract the attention of investigators, but it is notable that it had extensive investments in areas outside its official duty of acquiring and disposing of NPLs. The implication could be that the government wants the AMCs to focus on their core competency: cleaning up the coming deluge of NPLs. The anti-corruption is also targeting local government officials for misappropriating state funds. These investigations involve punishment of provincial officials for false accounting as well as embezzlement and other crimes. We have noted before that the provinces that revised down their GDP growth targets most aggressively this year were also some of the hardest hit with anti-corruption probes into falsifying data and misallocating capital.22 On several occasions it has appeared as if the anti-corruption campaign was losing steam, but the broadest tally of cases under investigation suggest that it is still going strong despite hitting a peak at the beginning of the year (Chart 13). The campaign remains a potential source of disruption among the very officials whose risk appetite will determine whether central government policy easing actually results in additional bank lending and local government borrowing. Bottom Line: While difficult to quantify, the anti-corruption campaign will dampen animal spirits within local governments and the financial sector as long as the new NSC is seeking to establish itself and the Xi administration remains committed to prosecuting the campaign aggressively. Investment Conclusions We would be surprised if credit growth did not perk up at least somewhat as a result of the past month's easing measures. But as outlined above, these measures may disappoint the markets as a result of the ongoing financial regulatory drive, the baggage of NPL recognition, and any negative impact on risk appetite due to the anti-corruption campaign. And this is not even to mention the dampening effects of ongoing property sector and pollution curbs.23 In lieu of a credit surge, Beijing is likely to rely more on fiscal spending to stabilize growth. Fiscal spending also faces complications, of course. In recent years, China's local governments have built up a potentially massive pool of off-balance-sheet debt due to structural factors limiting local government revenue generation (Table 3). Beijing is now attempting to force this debt into the light. The local government debt maturity schedule suggests a persistent headwind in coming years as hidden debt is brought onto the balance sheet and governments scramble to meet payment deadlines (Chart 14). In addition, the local government debt swap program launched in 2014-15 will wrap up this month. Table 3Estimates Of Hidden Local Government Debt Chart 14Local Governments Face Rising Debt Payments Nevertheless Beijing has introduced a new class of "refinancing bonds" in 2018 to help stabilize the fiscal situation. These bonds are separate from brand new bonds that have the potential to increase significantly over the second half of this year. China's Finance Ministry has also reportedly asked local governments to issue 80 percent of net new special purpose bonds by the end of September. Since only about a quarter of the year's 1.35 trillion RMB quota was issued in H1, this order would mean that about half of the quota (675 billion RMB out of 1.35 trillion RMB) would be issued in August and September alone - implying a significant surge to Chinese demand, albeit with a lag of six months or so.24 The latest data releases from July suggest that Beijing is trying to do two things at once: ease liquidity conditions while cracking down on excess leverage. Until we see a spike in credit growth, we will continue to expect the policy turn to be only moderately reflationary, with the ability to offset existing headwinds but not spark a broad-based reacceleration of the economy. Going forward, data for the month of August will be very important to monitor, as many of the easing measures were not announced until late July. For all the reasons outlined in this two-part Special Report, we would view a sharp increase in total credit as a game-changer that would point toward a "stimulus overshoot" (Table 4). Such an overshoot is less likely if the government relies more heavily on fiscal spending this time around, which is what we expect. Table 4Will China Over-Stimulate This Time Around? Meanwhile, turmoil in emerging markets - which we fully anticipated based on China's policy headwinds this year and our dollar bullish view - will only be exacerbated by China's unwillingness to stimulate massively.25 Matt Gertken, Associate Vice President Geopolitical Strategy mattg@bcaresearch.com Qingyun Xu, Senior Analyst qingyun@bcaresearch.com Yushu Ma, Contributing Editor yushum@bcaresearch.com 1 Please see BCA Geopolitical Strategy and China Investment Strategy Special Report, "China: How Stimulating Is The Stimulus?" dated August 8, 2018, available at gps.bcaresearch.com. 2 Please see BCA China Investment Strategy Special Report, "The Data Lab: Testing The Predictability Of China's Business Cycle," dated November 30, 2017, available at cis.bcaresearch.com. 3 Please see BCA China Investment Strategy Weekly Report, "China Is Easing Up On The Brake, Not Pressing The Accelerator," dated July 26, 2018, available at cis.bcaresearch.com. 4 Please see BCA Geopolitical Strategy Weekly Report, "Political Risks Are Understated In 2018," dated April 12, 2017, available at gps.bcaresearch.com. 5 Please see BCA Geopolitical Strategy Special Report, "China: Looking Beyond The Party Congress," dated July 19, 2017, available at gps.bcaresearch.com. 6 Please see BCA Geopolitical Strategy Special Report, "Geopolitics - From Overstated To Understated Risks," dated November 22, 2017, available at gps.bcaresearch.com. 7 Please see BCA Geopolitical Strategy Special Report, "Politics Are Stimulative, Everywhere But China," dated February 28, 2018, available at gps.bcaresearch.com. 8 Please see BCA Geopolitical Strategy Special Report, "The Wrath Of Cohn," dated July 26, 2017, available at gps.bcaresearch.com. 9 Please see footnote 8 above. 10 Please see BCA Geopolitical Strategy Weekly Report, "Italy, Spain, Trade Wars... Oh My!" dated May 30, 2018, available at gps.bcaresearch.com. 11 Please see Part I of this series in footnote 1 above. 12 Please see BCA China Investment Strategy Weekly Report, "Now What?" dated June 27, 2018, available at cis.bcaresearch.com. Note that according to the new asset management rules, financial institutions will be required to have a risk reserve worth 10% of their fee income, or corresponding risk capital provisions. When the risk reserve balance reaches 1% of the product balance, no further risk provision will be required. We estimate that setting aside these funds will be a form of financial tightening worth about 1.2% of GDP. 13 Please see Liansheng Zheng, "The Macro Prudential Assessment Framework of China: Background, Evaluation and Current and Future Policy," Center for International Governance Innovation, CIGI Papers No. 164 (March 2018), available at www.cigionline.com. 14 Recall that the second category of the MPA consists of bank assets and liabilities. This category also has a rule for broad credit growth, which is that it should not exceed broad money (M2) plus 20%-25%. Therefore passing this part of the exam already requires banks to meet a 28%-33% speed limit on new credit. Assuming that that the pro-cyclical parameter of the CAR category remains at its current minimum of 0.4, then the structural parameter cannot be effectively pushed any lower than 0.6-0.8. The bottom line is that pushing the CAR structural parameter lower is not going to yield a significant increase in the allowable rate of credit growth. 15 To reach this estimate, we began with the fact that the outstanding level of broad credit growth was around 207 trillion RMB by the end of 2017 (that is, loans plus bonds plus equities plus wealth management products and other off-balance-sheet assets). The 2017 growth rate was about 10% and is assumed to be the same in 2018. Therefore broad credit should reach 227.7 trillion by the end of the year. Then, if we assume that all banks lend at the maximum weighted growth rate allowed by adjusting the structural parameter in the MPA CAR requirement (which is 30%), outstanding broad credit would reach 269.1 trillion by the end of the year. Hence an extra 41.4 trillion RMB in broad credit growth would be released. For comparison, please see CITIC Bond Investment, "Deep Analysis: Impact of Parameter Adjustments in the MPA Framework," July 30, 2018, available at www.sohu.com. 16 Based on actual CARs in 2017, the limit to broad credit growth was 17%-22% for large state-owned banks, 10%-20% for joint-equity banks, and 15%-20% for city or rural commercial banks. However, the actual broad credit growth for most banks was a lot lower than that. For example, for all five state-owned banks (nationally systemically important financial institutions), it was below 10%, well beneath the 17%-22% determined by their actual CARs and C*. 17 Under current regulations, the loan provision ratio is 2.5% while the NPL provision coverage ratio is 150%. The higher of the two is the regulatory standard for commercial banks. On February 28, 2018, the China Banking Regulatory Commission issued a notice declaring that the coverage requirement would change to a range of 120%-150%, while the loan provision requirement would change to a range of 1.5%-2.5%. Banks would qualify for the easier requirements according to how accurately they classified their loans, whether they disposed of their bad loans, and whether they maintained appropriate capital adequacy ratios. This could result in a release of about 800 billion RMB worth of provisions that can be kept as core tier-1 capital or support new lending. 18 Please see BCA China Investment Strategy Special Report, "Stress-Testing Chinese Banks," dated July 27, 2016, available at cis.bcaresearch.com. 19 Please see BCA Emerging Markets Strategy Weekly Report, "Mind The Breakdowns," dated July 5, 2018, and Special Report, "Long Indian / Short Chinese Banks," dated January 17, 2018, available at ems.bcaresearch.com. 20 Please see Jamie P. Horsley, "What's So Controversial About China's New Anti-Corruption Body?" The Diplomat, May 30, 2018, available at thediplomat.com. 21 The NSC is operationally very close to the Central Discipline Inspection Commission (CDIC), which is the Communist Party corruption watchdog formerly headed by heavyweight Wang Qishan. It received only a 10% increase in manpower over the CDIC in order to expand its target range by 200% (covering all state agencies and state-linked organizations). It has allegedly meted out 240,000 punishments in the first half of 2018, up from 210,000 during the same period last year and 163,000 in H1 2016. About 28 of these cases were provincial-level cases or higher. The controversy over the "rights of the detained" has been highlighted by the beating of a local government official's limousine driver in one of the organization's first publicly reported actions. The NSC has also arrested local government officials tied to "corruption kingpin" Zhou Yongkang and known for misappropriating budgetary funds, and has secured the repatriation of fugitives who fled abroad and recovered the assets that they stole or embezzled. 22 The provinces include Tianjin, Chongqing, Liaoning, Inner Mongolia, etc. Please see BCA Geopolitical Strategy "Trump, Year Two: Let The Trade War Begin," dated March 14, 2018, available at gps.bcaresearch.com. There is empirical evidence that anti-corruption probes are correlated with debt defaults. Please see Haoyu Gao, Hong Ru and Dragon Yongjun Tang, "Subnational Debt of China: The Politics-Finance Nexus," dated September 12, 2017, available at gcfp.mit.edu. 23 Please see BCA Emerging Markets Strategy Special Report, "China Real Estate: A Never-Bursting Bubble?" dated April 6, 2018, available at ems.bcaresearch.com, and Commodity & Energy Strategy Weekly Report, "Blue Skies Drive China's Steel Policy," dated August 9, 2018, available at ces.bcaresearch.com. 24 Please see "As economy cools, China sets deadline for local government special bond sales," Reuters, dated August 14, 2018, available at www.reuters.com. For more on local government bond issuance, see Part I of this series in footnote 1 above. Note also rumors in Chinese media suggesting that a new local government debt swap program could be launched with the responsibility of tackling off-balance-sheet debts that are guaranteed by local governments. The program has thus far only swapped debts that local governments were obligated to pay. It is not clear what would happen to a third class of local debt, that which is neither an obligation upon local governments nor guaranteed by them but that nevertheless is deemed to serve a public interest. 25 Please see BCA Geopolitical Strategy Weekly Report, "The EM Bloodbath Has Nothing To Do With Trump," dated August 14, 2018, available at gps.bcaresearch.com.

Special Report

Dear Client, This week we are sending you a Special Report written by Mark McClellan, Chief Strategist, The Bank Credit Analyst, Marko Papic, Chief Strategist, Geopolitical Strategy and our very own Chris Bowes, Associate Editor, U.S. Equity Strategy. This report deals with the implications of the U.S./Sino trade war for U.S. equity sectors. It identifies the next products to be targeted with higher tariffs on both sides of the dispute. A higher U.S. tariff wall will shield some industries from competition, but rising input costs will be widely felt because of extensive supply chains between and within industries. There is only a small handful of industries that will be winners in absolute terms. I trust you will find his report insightful. Kind regards, Anastasios Avgeriou, Vice President U.S. Equity Strategy In this Special Report, we shed light on the implications of the U.S./Sino trade war for U.S. equity sectors. The threat that trade action poses to the U.S. equity market is greater than in past confrontations. Perhaps most importantly, supply chains are much more extensive, globally and between China and the U.S. Automobile Components, Electrical Equipment, Materials, Capital Goods and Consumer Durables have the most extensive supply chain networks. The USTR claims that it is being strategic in the Chinese goods it is targeting, focusing on companies that will benefit from the "Made In China 2025" initiative. The list of Chinese goods targeted in both the first and second rounds covers virtually all of the broad import categories. The only major items left for the U.S. to hit are apparel, footwear, toys and cellphones. Beijing is clearly targeting U.S. products based on politics in order to exert as much pressure on the President's party as possible. Based on a list of products that comprise the top-10 most exported goods of Red and Swing States, China will likely lift tariffs in the next rounds on civilian aircraft, computer electronics, healthcare equipment, car engines, chemicals, wood pulp, telecommunication and integrated circuits. Supply chains within and between industries and firms mean that the impact of tariffs is much broader than the direct impact on exporters and importers. We measure the relative exposure of 24 GICs equity sectors to the trade war based on their proportion of foreign-sourced revenues and the proportion of each industry's total inputs that are affected by U.S. tariffs. The Semiconductors & Semiconductor Equipment sector stands out, but the Technology & Hardware Equipment, Capital Goods, Materials, Consumer Durables & Apparel and Motor Vehicle sectors are also highly exposed to anti-trade policy action. Energy, Software, Banks and all other service sectors are much less exposed. China may also attempt to disrupt supply chains via non-tariff barriers, placing even more pressure on U.S. firms that have invested heavily in China. Wholesale Trade, Chemicals, Transportation Equipment, Computers & Electronic Parts and Finance & Insurance are most exposed. U.S. technology companies are particularly vulnerable to an escalating trade war. Virtually all U.S. manufacturing industries will be negatively affected by an ongoing trade war, even defensive sectors such as Consumer Staples. The one exception is defense manufacturers, where we recommend overweight positions. Our analysis highlights that the best shelter from a trade war can be found in services, particularly services that are insulated from trade. Financial Services appears a logical choice, and the S&P Financial Exchanges & Data subsector is one of our favorites. The trade skirmish is transitioning to a full-on trade war. The U.S. has imposed a 25% tariff on $50 billion worth of Chinese goods, and has proposed a 10% levy on an additional $200 billion of imports by August 31. China retaliated with tariffs on $50 billion of imports from the U.S., but Trump has threatened tariffs on another $300 billion if China refuses to back down. That would add up to over $500 billion in Chinese goods and services that could be subject to tariffs, only slightly less than the total amount that China exported to the U.S. last year. BCA's Geopolitical Strategy has emphasized that President Trump is unconstrained on trade policy, giving him leeway to be tougher than the market expects.1 This is especially the case with respect to China. There will be strong pushback from Congress and the U.S. business lobby if the Administration tries to cancel NAFTA. In contrast, Congress is also demanding that the Administration be tough on China because it plays well with voters. Trump is a prisoner of his own tough pre-election campaign rhetoric against China. The U.S. primary economic goal is not to equalize tariffs but to open market access.2 The strategic goal is much larger. The U.S. wants to see China's rate of technological development slow down. Washington will expect robust guarantees to protect intellectual property and proprietary technology before it dials down the pressure on Beijing. The threat that the trade war poses to the U.S. equity market is greater than in past confrontations, such as that between Japan and the U.S. in the late 1980s. First, stocks are more expensive today. Second, interest rates are much lower, limiting how much central banks can react to adverse shocks. Third, and perhaps most importantly, supply chains are much more extensive, globally and between China and the U.S. Nearly every major S&P 500 multinational corporation is in some way exposed to these supply chains. Chart II-1 shows that Automobile Components, Electrical Equipment, Materials, Capital Goods and Consumer Durables have the most extensive supply chain networks. The Global Value Chain Participation rate, constructed by the OECD, is a measure of cross-border value-added linkages.3 In this Special Report, we shed light on the implications of the trade war for U.S. equity sectors. Complex industrial interactions make it difficult to be precise in identifying the winners and losers of a trade war. Nonetheless, we can identify the industries most and least exposed to a further rise in tariff walls or non-tariff barriers to trade. We focus on the U.S./Sino trade dispute in this Special Report, leaving the implications of a potential trade war with Europe and the possible failure of NAFTA negotiations for future research. Chart II-1Measuring Global Supply Chains Trade Channels There are at least five channels through which rising tariffs can affect U.S. industry: The Direct Effect: This can be positive or negative. The impact is positive for those industries that do not export much but are provided relief from stiff import competition via higher import tariffs. The impact is negative for those firms facing higher tariffs on their exports, as well as for those firms facing higher costs for imported inputs to their production process. These firms would be forced to absorb some of the tariff via lower profit margins. Some industries will fall into both positive and negative camps. U.S. washing machines are a good example. Whirlpool's stock price jumped after President Trump announced an import tariff on washing machines, but it subsequently fell back when the Administration imposed an import tariff on steel and aluminum (that are used in the production of washing machines); Indirect Effect: The higher costs for imported goods are passed along the supply chain within an industry and to other industries that are not directly affected by rising tariffs. This will undermine profit margins in these indirectly-affected industries to the extent that they cannot fully pass along the higher input costs; Foreign Direct Investment: Some Chinese exports emanate from U.S. multinationals' subsidiaries in China, or by Chinese or foreign OEM suppliers for U.S. firms. Even though it would undermine China's economy to some extent, the Chinese authorities could make life more difficult for these firms in retaliation for U.S. tariffs on Chinese goods. Macro Effect: A trade war would take a toll on global trade and reduce GDP growth globally. Besides the negative effect of uncertainty on business confidence and, thus, capital spending, rising prices for both consumer and capital goods will reduce the volume of spending in both cases. Moreover, corporate profits have a high beta with respect to economic activity. We would not rule out a U.S. recession in a worst-case scenario. Obviously, a recession or economic slowdown would inflict the most pain on the cyclical parts of the S&P 500 relative to the non-cyclicals, in typical fashion. Currency Effect: To the extent that a trade war pushes up the dollar relative to the other currencies, it would undermine export-oriented industries and benefit those that import. However, while we are bullish the dollar due to diverging monetary policy, the dollar may not benefit much from trade friction given retaliatory tariff increases by other countries. Some of the direct and indirect impact can be mitigated to the extent that importers facing higher prices for Chinese goods shift to similarly-priced foreign producers outside of China. Nonetheless, this adjustment will not be costless as there may be insufficient supply capacity outside of China, leading to upward pressure on prices globally. Targeted Sectors: (I) U.S. Tariffs On Chinese Goods As noted above, the U.S. has already imposed tariffs on $50 billion of Chinese imports and has published a list of another $200 billion of goods that are being considered for a 10% tariff in the second round of the trade war. The first round focused on intermediate and capital goods, while the second round includes consumer final demand categories such as furniture, air conditioners and refrigerators. The latter will show up as higher prices at retailers such as Wal Mart, having a direct and visible impact on U.S. households. Appendix Table II-A1 lists the goods that are on the first and second round lists, grouped according to the U.S. equity sectors in the S&P 500. The U.S. Trade Representative (USTR) claims that the Chinese items are being targeted strategically. It is focusing on companies that will benefit from China's structural policies, such as the "Made In China 2025" initiative that is designed to make the country a world leader in high-tech areas (see below). Table II-1 reveals the relative size of the broad categories of U.S. imports from China, based on trade categories. The top of the table is dominated by Motor Vehicles, Machinery, Telecommunication Equipment, Computers, Apparel & Footwear and other manufactured goods. The list of Chinese goods targeted in both the first and second rounds covers virtually all of the broad categories in Table II-1. The only major items left for the U.S. to hit are Apparel and Footwear, as well as two subcategories; Toys and Cellphones. These are all consumer demand categories. Table II-1U.S. Imports From China (January-May 2018) (II) Chinese Tariffs On U.S. Goods Total U.S. exports to China were less than $53 billion in the first five months of 2018, limiting the amount of direct retaliation that China can undertake (Table II-2). The list of individual U.S. products that China has targeted so far is long, but we have condensed it into the broad categories shown in Table II-3. The U.S. equity sectors that the new tariffs affect so far include Food, Beverage & Tobacco, Automobiles & Components, Materials and Energy. China has concentrated mainly on final goods in a politically strategic manner, such as Trump-supported rural areas and Harley Davidson bikes whose operations are based in Paul Ryan's home district in Wisconsin. Table II-2U.S. Exports To China (January-May 2018) Table II-3China Tariffs On U.S. Goods What will China target next? Chart II-2 shows exports to China as percent of total state exports, and Chart II-3 presents the value of products already tariffed by China as a percent of state exports. Other than Washington, the four states most targeted by Beijing are conservative: Alaska, Alabama, Louisiana and South Carolina. Chart II-2U.S. Exports To China By State Chart II-3Value Of U.S. Products Tariffed By China (By State) Beijing is clearly targeting products based on politics in order to exert as much pressure on the President's party as possible. To identify the next items to be targeted, we constructed a list of products that comprise the top-10 most exported goods of Red States (solidly conservative) and Swing States (competitive states that can go either to Republican or Democratic politicians). Appendix Tables II-A2 and II-A3 show this list of products, with those that have already been flagged by China for tariffs crossed out. Table II-4 shows the top-10 list of products that are not yet tariffed by China, but are distributed in a large proportion of Red and Swing states. What strikes us immediately is how important aircraft exports are to a large number of Swing and Red States. In total, 27 U.S. states export civilian aircraft, engines and parts to China. This is an obvious target of Beijing's retaliation. In addition, we believe that computer electronics, healthcare equipment, car engines, chemicals, wood pulp, telecommunication and integrated circuits are next. Table II-4Number Of U.S. States Exporting To China By Category Market Reaction Chart II-4 highlights how U.S. equity sectors performed during seven separate days when the S&P 500 suffered notable losses due to heightened fears of protectionism. Cyclical sectors such as Industrials and Materials fared worse during days of rising protectionist angst. Financials also generally underperformed, largely because such days saw a flattening of the yield curve. Tech, Health Care, Energy and Telecom performed broadly in line with the S&P 500. Consumer Staples outperformed the market, but still declined in absolute terms. Utilities and Real Estate were the only two sectors that saw absolute price gains. The market reaction seems sensible based on the industries caught in the cross-hairs of the trade action so far. At least some of the potential damage is already discounted in equity prices. Nonetheless, it is useful to take a closer look at the underlying factors that should determine the ultimate winners and losers from additional salvos in the trade war. Chart II-4S&P 500: Impact Of Trade-Related Events Determining The Winners And Losers The U.S. sectors that garner the largest proportion of total revenues from outside the U.S. are obviously the most exposed to a trade war. For the 24 level 2 GICS sectors in the S&P 500, Table II-5 presents the proportion of total revenues that is generated from operations outside the U.S. for the top five companies in the sector by market cap. Company reporting makes it difficult in some cases to identify the exact revenue amount coming from outside the U.S., as some companies regard "domestic" earnings as anything generated in North America. Nonetheless, we believe the data in Table II-5 provide a reasonably accurate picture. Table II-5Foreign Revenue Exposure (2017) Semiconductors, Tech Equipment, Materials, Food & Beverage, Software and Capital Goods are at the top of the list in terms of foreign-sourced revenues. Not surprisingly, service industries like Real Estate, Banking, Utilities and Telecommunications Services are at the bottom of the exposure list. U.S. companies are also exposed to U.S. tariffs that lift the price of imported inputs to the production process. This can occur directly when firm A imports a good from abroad, and indirectly, when firm A sells its intermediate good to firm B at a higher price, and then on to firm C. In order to capture the entire process, we used the information contained in the Bureau of Economic Analysis' Input/Output tables. We estimated the proportion of each industry's total inputs that are affected by already-implemented U.S. tariffs and those that are on the list for the next round of tariffs. These estimates, shown in Appendix Table II-A4 at a detailed industrial level, include both the direct and indirect effects of higher import costs. At the top of the list is Motor Vehicles and Parts, where Trump tariffs could affect more than 70% of the cost of all material inputs to the production process. Electrical Equipment, Machinery and other materials industries are also high on the list, together with Furniture, Computers & Electronic Parts and Construction. Unsurprisingly, service industries and Utilities are in the bottom half of the table.4 We then allocated all the industries in Appendix Table II-A4 to the 24 GICs level 2 sectors in the S&P 500, in order to obtain an import exposure ranking in S&P sector space (Table II-6). Table II-6U.S. Import Tariff Exposure Chart II-5 presents a scatter diagram that compares import tariff exposure (horizontal axis) with foreign revenue exposure (vertical axis). The industries clustered in the top-right of the diagram are the most exposed to a trade war. Chart II-5U.S. Industrial Exposure To A Trade War With China The Semiconductors & Semiconductor Equipment sector stands out by this metric, but the Technology & Hardware Equipment, Capital Goods, Materials, Consumer Durables & Apparel and Motor Vehicle sectors are also highly exposed to anti-trade policy action. Energy, Software, Banks and all other service sectors are much less exposed. Food, Beverage & Tobacco lies between the two extremes. Joint Ventures And FDI Table II-7Stock Of U.S. Direct ##br##Investment In China (2017) As mentioned above, most U.S. production taking place in China involves a joint venture. The Chinese authorities could attempt to disrupt the supply chain of a U.S. company by hindering production at companies that have ties to U.S. firms. Data on U.S. foreign direct investment (FDI) in China will be indicative of the industries that are most exposed to this form of retaliation. The stock of U.S. FDI in China totaled more than $107 billion last year (Table II-7). At the top of the table are Wholesale Trade, Chemicals, Transportation Equipment, Computers & Electronic Parts and Finance & Insurance. Apple is a good example of a U.S. company that is exposed to non-tariff retaliation, as the iPhone is assembled in China by Foxconn for shipment globally with mostly foreign sourced parts. Our Technology sector strategists argue that U.S. technology companies are particularly vulnerable to an escalating trade war (See Box II-1).5 BOX II-1 The Tech Sector The U.S. has applied tariffs on the raw materials of technology products rather than finished goods so far. At a minimum, this will penalize smaller U.S. tech firms which manufacture in the U.S. and provide an incentive to move production elsewhere. Worst case, the U.S. tariffs might lead to component shortages which could have a disproportionately negative impact, especially on smaller firms. Although it has not been proposed, U.S. tariffs on finished goods would be devastating to large tech companies such as Apple, which outsources its manufacturing to China. China appears determined to have a vibrant high technology sector. The "Made In China 2025" program, for example, combines ambitious goals in supercomputers, robotics, medical devices and smart cars, while setting domestic localization targets that would favor Chinese companies over foreigners. The ZTE sanctions and the potential for enhanced export controls have had a traumatic impact on China's understanding of its relatively weak position with respect to technology. As a result, because most high-tech products are available from non-U.S. sources, Chinese engineers will likely be encouraged to design with non-U.S. components; for example, selecting a Samsung instead of a Qualcomm processor for a smartphone. Similarly, China is a major buyer of semiconductor capital equipment as it follows through with plans to scale up its semiconductor industry. Most such equipment is also available from non-U.S. vendors, and it would be understandable if these suppliers are selected given the risk which would now be associated with selecting a U.S. supplier. The U.S. is targeting Chinese made resistors, capacitors, crystals, batteries, Light Emitting Diodes (LEDs) and semiconductors with a 25% tariff. For the most part these are simple, low cost devices, which are used by the billions in high-tech devices. Nonetheless, China could limit the export of these products to deliver maximum pain, leading to a potential shortage of qualified parts. A component shortage can have a devastating impact on production since the manufacturer may not have the ability to substitute a new part or qualify a new vendor. Since the product typically won't work unless all the right parts are installed, want of a dollar's worth of capacitors may delay shipping a $1,000 product. Thus, the economic and profit impact of a parts shortage in the U.S. could be quite severe. Conclusions: When it comes to absolute winners in case of a trade war, we believe there are three conditions that need to be met: Relatively high domestic input costs. Relatively high domestic consumption/sales; the true beneficiaries of a tariff are those industries who are allowed to either raise prices or displace foreign competitors, with the consumer typically bearing the cost. Relatively low direct exposure to global trade - international trade flows will certainly slow in a trade war. There are very few manufacturing industries that meet all of these criteria. Within manufacturing, one would typically expect the Consumer Staples and Discretionary sectors to be the best performers. However, roughly a third of the weight of Staples is in three stocks (PG, KO and PEP) that are massively dependent on foreign sales. Moreover, a similar weight of Discretionary is in two retailers (AMZN and HD) that are dependent on imports. As such, consumer indexes do not appear a safe harbor in a trade war. Nevertheless, if the trade war morphs into a recession then consumer staples (and other defensive safe-havens) will outperform, although they will still decrease in absolute terms. Transports are an industry that has relatively high domestic labor costs and an output that is consumed virtually entirely within domestic borders. However, their reliance on global trade flows - intermodal shipping is now more than half of all rail traffic - means they almost certainly lose from a prolonged trade dispute. There is one manufacturing industry that could be at least a relative winner and perhaps an absolute winner: defense. Defense manufacturers certainly satisfy the first two criteria above, though they do have reasonably heavy foreign exposure. However, we believe high switching costs and the lack of true global competitors mean that U.S. defense company foreign sales will be resilient. After all, a NATO nation does not simply switch out of F-35 jets for the Russian or Chinese equivalent. Further, if trade friction leads to rising military tension, defense stocks should outperform. Finally, the ongoing global arms race, space race and growing cybersecurity requirements all signal that these stocks are a secular growth story, as BCA has argued in the recent past.6 Still, as highlighted by the data presented above, the best shelter from a trade war can be found in services, particularly services that are insulated from trade. Financial Services appears a logical choice, especially the S&P Financial Exchanges & Data subsector (BLBG: S5FEXD - CME, SPGI, ICE, MCO, MSCI, CBOE, NDAQ). Another appealing - and defensive - sector is Health Care Services. With effectively no foreign exposure and a low beta, these stocks would outperform in the worst-case trade war-induced recession. Mark McClellan Senior Vice President The Bank Credit Analyst Marko Papic Senior Vice President Geopolitical Strategy Chris Bowes Associate Editor U.S. Equity Strategy 1 Please see BCA Geopolitical Strategy Special Report, "Constraints & Preferences Of The Trump Presidency," dated November 30, 2016, available at gps.bcaresearch.com. 2 Please see BCA Geopolitical Strategy Weekly Report, "Trump's Demands On China," dated April 4, 2018, available at gps.bcaresearch.com. 3 For more information, please see: "Global Value Chains (GVSs): United States." May 2013. OECD website. 4 Please see BCA U.S. Equity Strategy Special Report, "Brothers In Arms," dated October 31, 2016, available at uses.bcaresearch.com. 5 Please see BCA Technology Sector Strategy Special Report "Trade Wars And Technology," dated July 10, 2018, available at tech.bcaresearch.com 6 Please see BCA U.S. Equity Strategy Special Report, "Brothers In Arms," dated October 31, 2016, available at uses.bcaresearch.com. Appendix Table II-1 Allocating U.S. Import Tariffs To U.S. GICS Sectors Appendix Table II-2 Exports By U.S. Red States Appendix Table II-3 Exports By U.S. Swing States Appendix Table II-4 Exposure Of U.S. Industries To U.S. Import Tariffs

Highlights Seasonal capacity restrictions in China during the winter heating months - when pollution from steel mills is particularly high - and continued efforts to limit particulate emissions in major cities will drive steel prices higher. The steel rebar market in China is backwardated, indicating physical markets are tight; inventories have been falling since mid-March. We expect prices to remain elevated going into the winter months, when capacity restrictions kick in. Ongoing capacity reductions in steelmaking will favor higher-grade iron ores, which will widen price differentials versus lower-grade ores. We are recommending a long China rebar futures on the SHFE in 1Q19 vs short 62% Fe iron ore futures on the Dalian DCE in 1Q19 at tonight's close, based on our research. Energy: Overweight. Loadings of Iranian crude are expected to be curtailed beginning this month, as the November 4 deadline for the imposition of U.S. secondary sanctions kick in. Our base case calls for the loss of 500k b/d of exports from Iran; our ensemble forecast includes an estimate of 1mm b/d. Base Metals: Neutral. BHP asked the Chilean government to intervene in the strike called by unions at its Escondida mine. Union officials delayed strike action while talks are being held. Negotiators have until August 14 to reach an agreement. Reuters reported Chile's copper production was up 12.3% y/y in 1H18 to 2.83mm MT.1 Precious Metals: Neutral. U.S. sanctions on trading gold and precious metals with Iran went into effect earlier this week. Ags/Softs: Underweight. Chinese imports of U.S. soybeans could fall 10mm MT over the next year, if pig and chicken farmers switch to lower-protein feed and substitutes like sunflower seeds, and boost local production of the legume, state-run news service Xinhua reported.2 The USDA expects U.S. exports of 55.52mm MT of soybeans in the 2018 - 19 crop year, down 1.22mm MT from last year. Feature Steel prices have performed exceptionally since the beginning of 2Q18, seemingly oblivious to Sino - U.S. trade tensions, a stronger USD, and risks to China's economy roiling other metal markets (Chart of the Week). The MySteel Composite Index we use to track steel prices is up 7% since the beginning of April. With demand growth leveling off, steel's price dynamics highlight the continued relevance of the market's supply-side developments. Most notably, Beijing's battle for blue skies: Winter capacity curbs, and, to a lesser extent, ongoing efforts to retire older, highly polluting capacity will keep prices elevated over the next 9 months. Winter Curbs: China's New Normal As we highlighted in our April 12 weekly, despite the much-ballyhooed reductions in China's steel capacity over the 2017 - 18 winter months, markets in China and globally remained relatively well supplied over the winter.3 However, several key changes this year suggest the impact of these measures will intensify this time around, keeping producers constrained in their ability to ramp up production of the metal. For one, the data suggest strong production levels amid the anti-pollution curbs last winter were a result of an increase in output from regions unaffected by the capacity restrictions (Chart 2). This went a long way in muting the impact of the restrictions in the heavily industrialized Beijing-Tianjin-Hebei region of northern China. Chart of the WeekSteel Oblivious To Pessimism Chart 22017/18 Winter Cuts: A Net Non-Event This year's curbs will broaden the regions targeted by anti-pollution restrictions. The campaign will encompass 83 cities, up from last year's 28, thereby reducing the potential production ramp up from regions not covered by these measures (Chart 3). This coming winter's closures will cover regions where producers traditionally account for 68% of China's steel output (Chart 4). Chart 3Second Annual Winter Capacity ##br##Restrictions Will Broaden Coverage... Chart 4...And##br## Impact The anti-pollution campaign is one of the three battles prioritized in Xi Jinping's plan for the coming years. These curbs will be implemented during the October 1, 2018 to March 31, 2019 heating season, extending the duration from last year's mid-November to Mid-March period. Because the minimal effect observed per last year's closures was due to specifying too narrow a range of plants and regions, not to non-compliance, we expect the measures announced for this coming winter to be fully implemented. These measures come amid already-tight market conditions. The steel rebar market in China is in backwardation - meaning a physical shortage is pushing up prompt prices relative to those further out the curve. Inventories have been falling since mid-March, reflecting supply-demand dynamics in other steel product markets. Thus, we expect prices to remain elevated going into the winter months. Capacity Impacts Are Difficult To Gauge Opaqueness and discretionary authority in the new rules clouds the outlook on how anti-pollution reforms will impact the steel market. This makes it difficult to estimate their impact with precision. This time around, China's State Council announced that curbs will be implemented in a more scientific and targeted approach, ensuring maximum efficiency to attain the targets. This means the constraints this year will depend on emissions in each region, which will be set at the discretion of local authorities.4 For example, steel mills in six key cities including Tianjin, Shijiazhuang, Tangshan, Handan, Xingtai and Anyang will be asked to keep capacity below 50% this winter, while producers in the rest of the Beijing-Tianjin-Hebei region will keep production running at less than 70% of capacity. Furthermore, a draft plan by the city of Changzhou - which planned to implement the curbs beginning August 3 - suggests production curbs may vary by company, depending on operational situations and emission levels.5 These restrictions are applied to capacity, rather than production. Without up-to-date and accurate information on crude steel-making capacity across the different regions, it is extremely difficult to accurately quantify the impact. Specifics of the plans are up to the discretion of local authorities. Thus, these restrictions can be applied to different stages in the steel-making process (Diagram 1), impacting furnaces, pig iron or sintering plants. In some cases, the output curbs are not only restricted to the winter heating months. Several regions have been implementing curbs throughout the year on an as-needed basis. The cities of Tangshan and Changzhou are two such examples, implementing restrictions during the summer months as well. Furthermore, all industrial plants in the city of Xuzhou remain shut. High profit margins at steel mills may incentivize the shuttered illegal furnaces to restart. The industry ministry acknowledges this threat, and claims it will carry out checks on these producers to ensure they do not come back online. Diagram 1Steelmaking Production Process: Restrictions Can Be Applied To Different Stages Without full knowledge of these details, quantifying the impact of these restrictions is a challenge. Morgan Stanley estimates the impact of these curbs on steel output to be 78mm MT during the winter period by assuming capacity utilization is restricted to 50% in the key cities, while the rest of the areas cut capacity by 30%. The estimated production loss from these restrictions accounts for 9% of China's 2017 crude steel output.6 China's Ongoing Capacity-Reduction Reforms Most of the planned permanent capacity shutdowns have already taken place. Of the targeted 150mm MT of cuts between 2016 and 2020, 115mm MT have already taken place over the past two years. Furthermore, 1H17 witnessed the closure of all illegal induction furnaces producing sub-par quality steel, estimated to account for 140mm MT of crude steel capacity (Table 1).7 Table 1De-Capacity Reforms Still Ongoing We expect the magnitude of cutbacks to slow considerably. Even though the industry ministry issued a statement in February that it plans to meet steel capacity reduction targets this year - two years ahead of schedule. Furthermore, mills face restrictions on new steel capacity. China's State Council announced it intends to prevent new steel capacity additions in the Beijing-Tianjin-Hebei, Guangdong province, and Yangtze River Delta regions, and a cap set at 200mm MT in Hebei by 2020. The capacity replacement plan, which allows a maximum of 0.8 MT of new capacity for each MT of eliminated capacity, will ensure capacity does not grow going forward. In fact, not all mills are eligible to take advantage of the replacement policy. Among others, now-shuttered induction furnace capacity, as well as producers that previously benefited from cash and policy support will not meet the requirements for this program. Steel And Iron Ore Prices Will Not Reconverge As a result of China's reform policies in the steel industry, iron ore prices have diverged from steel. Reduced steel production lowers demand for raw materials, including iron ore. This is reflected in falling Chinese iron ore imports amid contracting production (Chart 5). Chart 5Weak Demand For Iron Ore Chart 6EAF Penetration In China: Still Some Catching Up To Do China's reform and anti-pollution campaigns have had serious consequences on iron ore markets. For starters, China is encouraging the adoption of electric arc furnaces (EAF), rather than additional new blast furnaces.8 While the latter primarily uses iron ore, the former uses scrap steel. EAF penetration in China's steel industry significantly lags the rest of the world (Chart 6). This means that even if the capacity-replacement program allows eliminated furnaces to be replaced with newer, more up-to-date capacity, this will not spur demand for iron ore. Instead, we expect to see higher scrap steel prices (Chart 7). Furthermore, as we first highlighted in our January report, China's anti-pollution campaign coupled with high steel profit margins has incentivized the use of higher grade iron ore and iron ore pellets, widening the price spread between high- and low- grade ores (Chart 8).9 Chart 7EAFs Support Scrap Steel Demand Chart 8IO Grade Premiums Will Remain Elevated While high-grade ores are more expensive, they emit less pollution in the steelmaking process. Similarly, unlike fines, pellets which are direct charge feedstock, are not required to undergo the highly polluting sintering stage and can be fed directly into the furnace. China's Steel Dynamics Overshadow Global Markets The ongoing supply-side reforms in China are overshadowing events in other markets. Globally, steel is expected to remain in physical deficit this year (Chart 9). This is largely on the back of an increase in world ex-China demand, and the decline in Chinese supply, despite expectations of weaker Chinese demand, and increased supply from the rest of the world (Table 2). Chart 9Physical Steel Deficit Will Persist... Table 2...Despite Weaker Chinese Demand And Stronger RoW Supply These figures do not consider the impact of the ongoing Sino - U.S. trade dispute, which could evolve into a full-blown trade war, weighing on EM incomes and demand. In such a scenario, global demand for steel would take a hit, potentially shifting global markets into surplus. In theory, trade barriers on U.S. steel imports could lead to weaker domestic supply for American users and at the same time, leave more of the metal for use by the rest of the world. The net effect of that would be a higher price for American steel relative to the rest of the world. However, since May, 20,000 requests for steel tariff exemptions have been filed in the U.S., of which the Commerce Department has denied 639. To the extent that American steel users are able to obtain tariff exemptions, the impact of the barriers on global steel markets will be muted. Bottom Line: We expect China's steel market to tighten as we go into the winter season, during which capacity cuts will be broadened to 82 cities, from last year's 28. This will keep steel prices elevated. At the same time, we expect prices of 62% Fe material and lower iron ore grades to weaken, as appetite for the steelmaking raw material contracts during these months. Mills still running in the mid-November to mid-March period will have a preference for higher-grade ores and pellets, keeping premiums on these grades elevated. Barring a significant demand-side shock, expect more upside to steel prices and downside to iron ore prices over the coming 9 months. Based on our research, we are recommending a long China rebar futures on the SHFE in 1Q19 vs. short 62% Fe iron ore futures on the Dalian DCE in 1Q19 at tonight's close. Roukaya Ibrahim, Editor/Strategist Commodity & Energy Strategy RoukayaI@bcaresearch.com 1 Please see "BHP asks for government mediation in talks at Chile's Escondida," published August 6, 2018, by uk.reuters.com. 2 Please see "Economic Watch: China can cut soybean imports in 2018 by over 10 mln tonnes," published August 5, 2018, by xinhuanet.com. 3 Please see Commodity & Energy Strategy Weekly Report titled "Chinese Steel, Aluminum Markets Well Supplied Despite Winter Capacity Cuts," dated April 12, 2018, available at ces.bcaresearch.com. 4 Please see "Chinese steel output cuts to vary from mill to mill next winter," dated July 21, 2018, available at reuters.com. 5 The restrictions will not only apply to the city's steel mills, but also to copper smelters, chemical makers as well as cement producers. Please see "China's Changzhou plans to enforce output curbs in steel, chemical plants," dated July 30, 2018, available at reuters.com. 6 Please see "Shanghai steel resumes rise, coke rallies as China eyes winter curbs," dated August 2, 2018, available at reuters.com. 7 Low-quality steel produced by induction furnaces, also referred to as ditiaogang, is made by melting scrap steel using induction heat, preventing sufficient control over the quality of the steel. Platts estimates ditiaogang production in 2016 to be 30-50mm MT. As we explain in our September 7, 2017 Weekly Report titled "Slow-Down In China's Reflation Will Temper Steel, Iron Ore In 2018," given that ditiaogang is illegal, these closures are not reflected in official steel production figures. Thus the closures of these mills have no impact on actual steel production, but instead raise the capacity utilization rates for Chinese steel producers. 8 China launched a carbon trading system in January 2018, which penalizes blast furnace operators with higher environmental taxes relative to EAF processes. 9 Please see Commodity & Energy Strategy Weekly Report titled "China's Environmental Reforms Drive Steel & Iron Ore," dated January 11, 2018, available at ces.bcaresearch.com. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Trades Closed in 2018 Summary of Trades Closed in 2017

Highlights Without a true banking union it is impossible to have a true monetary union. The result is a fragmented monetary policy. A fragmented monetary policy with an inflexibly rigid fiscal policy is a recipe for economic and political polarization. Until the banking union is complete, policymakers must permit a more fragmented fiscal policy as a crucial economic counterbalance. Expect a multi-year narrowing in core euro area long bond yield spreads versus their counterparts in the U.K. and U.S. Extremely loose monetary policy is inappropriate for Germany and France and ineffective for Italy. If Italy's banking system does recover to full functionality, the best long-term investment play will be Italy's real estate market. The equity play is Covivio. Feature The European Monetary Union is a contradiction because European monetary policy is not united; it is fragmented. Granted, the euro area has one policy interest rate, and one currency. But monetary policy works principally through accelerations and decelerations in the broad money supply, whose main component is bank credit. It follows that when the banking system is fragmented, a genuine monetary union is elusive. Italy Is 'Yin', The Rest Of Europe Is 'Yang' Economist Richard Koo distinguishes two distinct phases of an economy, a 'yin' phase and a 'yang' phase, with the key difference being the financial health of the private sector including the all-important banking system. In a yang economy, the private sector and the banks are solvent and functional. In such an economy, the smaller and less intrusive the government, the better. Fiscal policy is ineffective because it crowds out private investment. But monetary policy is highly effective because a forward-looking private sector generates a demand for bank credit which will accelerate or decelerate according to the policy interest rate. In a yin economy, the opposite is true. The private sector and/or the banks are insolvent and dysfunctional. In such an economy, monetary policy is ineffective. No amount of depressing interest rates, central bank liquidity injections, or bond buying is able to stimulate bank lending. This is because impaired balance sheets prevent the private sector from borrowing and/or the banks from lending. But in a yin economy, fiscal policy is highly effective. Because the private sector is single-mindedly paying down debt, the government can borrow and spend these private sector debt repayments and excess savings with no danger of crowding out. Indeed in a yin economy, if the government consistently applies an appropriately sized fiscal stimulus, the economy can continue to grow at a healthy pace. Chart I-1-Chart I-6 should make it crystal clear that while Germany and France have a yang economy, Italy has a yin economy. Chart I-1Italy Has A 'Yin' Economy: ##br##Monetary Policy Is Not Effective... Chart I-2...But Fiscal Policy##br## Is Effective Chart I-3France Has A 'Yang' Economy: ##br##Monetary Policy Is Effective... Chart I-4...But Fiscal Policy##br## Is Not Effective Chart I-5Germany Has A 'Yang' Economy:##br## Monetary Policy Is Effective... Chart I-6...But Fiscal Policy ##br##Is Not Effective A Monetary Union Needs A Banking Union In Germany and France, bank credit has surged in response to the ECB's ultra-accommodative monetary policy. But in Italy, bank credit growth is almost non-existent. Through the past ten years, no amount of depressing interest rates, central bank liquidity injections, or bond buying has been able to stimulate Italy's money supply (Chart I-7 and Chart I-8). Chart I-7Italian Banks Are ##br##Not Lending... Chart I-8...Because The Italian Banking System Has##br## Been Left Undercapitalised For A Decade Furthermore, when the ECB bought Italian government bonds from investors, where did Italian investors deposit the hundreds of billions of euros they received? Not in the local Italian banks, but in German banks, which they deemed to be much safer. Italian banks are not lending, and their depositors are still very wary, because the Italian banking system has been left undercapitalized for a decade. The irony is that the ECB's bond-buying was supposed to help Italy the most, but has probably helped it the least (Chart I-9). Chart I-9The ECB's Bond-Buying Has Exacerbated##br## The Target2 Imbalances Europe's full-fledged banking union is still years away. Europe has established a single supervisor for its 130 largest banks. It has also set up a single resolution fund (SRF) to wind down failing banks in an orderly fashion. Unfortunately, the SRF's coffers will not be full for another six years.1 Until then, the SRF will not be credible to the financial markets without a backstop. A candidate to provide such a backstop would be the European Stability Mechanism (ESM), but this is work in progress. Europe also lacks a common deposit insurance scheme. Knowing that the buck stops with the national government makes depositors wary, as has been the case recently in Italy. The large international banks are keen to implement a pan-European deposit insurance scheme. But this requires a clean-up of bank balance sheets in certain countries, notably Italy. Otherwise, the prudent banks will balk at the prospect of paying for the past mistakes of their less prudent competitors. Again, this is work in progress which may take several years to complete. A Fragmented Monetary Policy Requires A Fragmented Fiscal Policy If the entire euro area economy enters a yin phase, the constituent governments are allowed to use fiscal policy to support growth. For example, when the whole euro area went into a yin phase during the debt crisis, the European Commission relaxed the normal 3% cap on government deficits, and this fiscal stimulus helped the most troubled countries to weather the storm. But what if one country enters a yin phase, while the others are still in a yang phase? For example, a 'no-deal' Brexit would hit Ireland much harder than other euro area economies. The EU budget can help to an extent but, at just 1% of Europe's GDP compared to almost 20% in the U.S., the budget is small. This might still be sufficient to help Ireland, but it is insufficient for a large economy like Italy. The ESM can also help, but the assistance arrives too late - when the troubled country has already lost market access, and thereby is in, or close to, a recession. The unfortunate truth is that without a true banking union it is impossible to have a true monetary union. The result is a fragmented monetary policy, as is the case right now. A fragmented monetary policy with an inflexibly rigid fiscal policy is a recipe for economic polarization and thereby, political polarization. Therefore, until the banking union is complete, policymakers must permit a more fragmented fiscal policy as a crucial economic counterbalance. Because ultimately, a less economically polarized euro area will be a more successful and united euro area. An important test to this thesis has now arrived, as the new government in Italy prepares next year's budget. The government must agree its fiscal plan by September and present a draft to the European Commission by mid-October. Italy was projected to reduce its structural deficit by about 0.8 percent. But given that Italy will have one of the world's lowest structural deficits in the coming years, this reduction seems unnecessarily drastic (Table I-1). Because an increase in the deficit might unnerve the markets, the optimal outcome would be to leave the structural deficit close to its current level. Table 1Italy Will Have One Of The World's Lowest Structural Deficits We end with two brief thoughts for investors. The evidence clearly shows that the ECB's extremely loose monetary policy is wholly inappropriate for the euro area's mostly yang economy and largely ineffective for Italy's yin economy. On this premise, expect a multi-year narrowing in core euro area long bond yield spreads versus their counterparts in the U.K. and U.S. Finally, if Italy's banking system does gradually recover to full health and functionality, the best long-term investment play will be Italy's real estate market, in which prices have been bid down to depressed levels due to a lack of a lack of bank financing. On this premise, the long-term equity play is Covivio. Please note that I am taking a brief summer break, so the next weekly report will come out on August 23. Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com 1 The SRF will be gradually built up during 2016-2023 and shall reach the target level of at least 1% of the amount of covered deposits of all credit institutions within the Banking Union by December 31 2023. Fractal Trading Model* We have seven open positions, so we are not adding any new trades this week. For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment's fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. Chart I-10 The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions. * For more details please see the European Investment Strategy Special Report "Fractals, Liquidity & A Trading Model," dated December 11, 2014, available at eis.bcaresearch.com Fractal Trading Model Recommendations Equities Bond & Interest Rates Currency & Other Positions Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Interest Rate Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch##br## - Interest Rate Expectations

Highlights Chart 1Yield Curve Suggests GDP Growth Has Peaked Last month we learned that the U.S. economy grew 4.1% in the second quarter, the fastest pace since 2014. The gap between year-over-year nominal GDP growth and the fed funds rate - a reliable recession indicator - also widened considerably (Chart 1). However, our sense is that this might be as good as it gets for the U.S. economy. With fewer unemployed workers than job openings and businesses reporting difficulties finding qualified labor, strong demand will increasingly translate into higher prices rather than more output. Higher interest rates and a stronger dollar will also start to weigh on demand as the Fed responds to rising inflation. For bond investors, it is still too soon to position for slower growth by increasing portfolio duration. Markets are priced for only 83 basis points of Fed tightening during the next 12 months, below the current "gradual" pace of +25 bps per quarter. Maintain below-benchmark portfolio duration and a neutral allocation to spread product. Feature Investment Grade: Neutral Chart 2Investment Grade Market Overview Investment grade corporate bonds outperformed the duration-equivalent Treasury index by 133 basis points in July, bringing year-to-date excess returns up to -50 bps. The index option-adjusted spread tightened 14 bps on the month, and currently sits at 109 bps. Corporate bonds remain expensive with 12-month breakeven spreads for both the A and Baa credit tiers near their 25th percentiles since 1989 (Chart 2). Further, with inflation now close to the Fed's target, monetary policy will provide much less support for corporate bond returns going forward. These are two main reasons why we downgraded our cyclical corporate bond exposure to neutral near the end of June.1 Recent revisions to the U.S. National Accounts reveal that gross nonfinancial corporate leverage declined in Q4 2017 and Q1 2018, though from an elevated starting point (panel 4). While strong Q2 2018 profit growth should lead to a further decline when the second quarter data are reported in September, the downtrend in leverage will probably not last through the second half of the year. A rising wage bill and stronger dollar will soon drag profit growth below the rate of debt growth. At that point, leverage will rise. Historically, rising gross leverage correlates with rising corporate defaults and widening corporate bond spreads. The Fed's Senior Loan Officer Survey for the second quarter was released yesterday, and it showed that banks continue to ease standards on commercial & industrial loans (bottom panel). Rising corporate defaults tend to coincide with tightening lending standards (Table 3). Table 3ACorporate Sector Relative Valuation And Recommended Allocation* Table 3BCorporate Sector Risk Vs. Reward* High-Yield: Neutral Chart 3High-Yield Market Overview High-Yield outperformed the duration-equivalent Treasury index by 128 basis points in July, bringing year-to-date excess returns up to +205 bps. The average index option-adjusted spread tightened 27 bps on the month, and currently sits at 334 bps. Our measure of the excess spread available in the High-Yield index after accounting for expected default losses is currently 213 bps, below its long-run mean of 247 bps (Chart 3). This tells us that if default losses during the next 12 months are in line with our expectations, we should expect excess high-yield returns of 213 bps over duration-matched Treasuries, assuming also that there are no capital gains/losses from spread tightening/widening. However, we showed in a recent report that the default loss expectations embedded in our calculation are extremely low relative to history (panel 4).2 Our assumption, derived from the Moody's baseline default rate forecast and our own forecast of the recovery rate, calls for default losses of 1.2% during the next 12 months. The only historical period to show significantly lower default losses was 2007, a time when corporate balance sheets were in much better shape than today. While most indicators suggest that default losses will in fact remain low for the next 12 months, historical context clearly demonstrates that the risks are to the upside. It will be critically important to track real-time indicators of the default rate such as job cut announcements, which declined last month but remain above 2017 lows (bottom panel), for signals about whether current default forecasts are overly optimistic. MBS: Neutral Chart 4MBS Market Overview Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 20 basis points in July, bringing year-to-date excess returns up to -4 bps. The conventional 30-year zero-volatility MBS spread tightened 3 bps on the month, driven by a 2 bps decline in the compensation for prepayment risk (option cost) and a 1 bp tightening of the option-adjusted spread (OAS). The excess return Bond Map shows that MBS offer a relatively poor risk/reward trade-off, particularly compared to Aaa-rated non-Agency CMBS, High-Yield and Sovereigns. However, our Bond Map analysis does not account for the macro environment, which remains very favorable for the sector. In a recent report we showed that the two main factors that influence MBS spreads are mortgage refinancing activity and residential mortgage bank lending standards.3 Refi activity is tepid (Chart 4) and will likely stay that way for the foreseeable future. Only 5.8% of the par value of the Conventional 30-year MBS index carries a coupon above the current mortgage rate, and even a drop in the mortgage rate to below 4% (from its current 4.6%) would only increase the refinanceable percentage to 38%. As for lending standards, yesterday's second quarter Senior Loan Officer Survey showed that they continue to ease (bottom panel), though banks also reported that they remain at the tighter end of the range since 2005. The still-tight level of lending standards suggests that further gradual easing is likely going forward. That will keep downward pressure on MBS spreads. Government-Related: Underweight Chart 5Government-Related Market Overview The Government-Related index outperformed the duration-equivalent Treasury index by 37 basis points in July, bringing year-to-date excess returns up to +2 bps. Sovereign debt outperformed the Treasury benchmark by 179 bps on the month, bringing year-to-date excess returns up to -35 bps. Foreign Agencies outperformed by 24 bps on the month, bringing year-to-date excess returns up to -22 bps. Local Authorities outperformed by 33 bps on the month, bringing year-to-date excess returns up to +61 bps. Supranationals outperformed by 6 bps on the month, bringing year-to-date excess returns up to +13 bps. Domestic Agency bonds broke even with duration-matched Treasuries in July, keeping year-to-date excess returns steady at -1 bp. The strengthening U.S. dollar is a clear negative for hard currency Sovereign debt (Chart 5) and valuation relative to U.S. corporates remains negative (panel 2). Maintain an underweight allocation to Sovereigns. In contrast, the Foreign Agency and Local Authority sectors continue to offer a favorable risk/reward trade-off compared to other fixed income sectors (please see the Bond Maps on page 15). Maintain overweight allocations to both sectors. The Bond Maps also show that while the Supranational and Domestic Agency sectors are very low risk, expected returns are feeble. Both sectors should be avoided. Municipal Bonds: Overweight Chart 6Municipal Market Overview Municipal bonds outperformed the duration-equivalent Treasury index by 66 basis points in July, bringing year-to-date excess returns up to +187 bps (before adjusting for the tax advantage). The average Aaa-rated Municipal / Treasury yield ratio fell 3% in July to reach 83% (Chart 6). This is more than one standard deviation below its post-crisis mean and only slightly higher than the average of 81% that was observed in the late stages of the previous cycle, between mid-2006 and mid-2007. The total return Bond Map shows that municipal bonds still offer an attractive risk/reward profile for investors who are exposed to the top marginal tax rate. For investors who cannot benefit from the tax exemption there are better alternatives - notably Supranationals, Domestic Agency bonds and Agency CMBS. While value is dissipating, the near-term technical picture remains positive. Fund inflows are strong (panel 2) and visible supply is low (panel 3). Fundamentally, revisions to the GDP data reveal that state & local government net borrowing has been fairly flat in recent years, and in fact probably increased in the second quarter (bottom panel). At least so far, ratings downgrades have not risen alongside higher net borrowing, but this will be crucial to monitor during the next few quarters. Stay tuned. Treasury Curve: Buy The 5/30 Barbell Versus The 10-Year Bullet Chart 7Treasury Yield Curve Overview The Treasury curve's bear flattening trend continued in July. The 2/10 Treasury slope flattened 4 bps and the 5/30 slope flattened 2 bps, as yields moved higher. Despite the curve flattening, our position long the 7-year bullet and short the 1/20 barbell returned +8 bps on the month and is now up +30 bps since inception.4 The trade's outperformance is due to the extreme undervaluation of the 7-year bullet versus the 1/20 barbell. As of today, the bullet still plots 12 bps cheap on our model (Chart 7), which translates to an expected 42 bps of 1/20 flattening during the next six months. We view that much flattening as unlikely.5 Table 4 of this report shows that curve steepeners are also cheap at the front-end of the curve, particularly the 2-year bullet over the 1/5 and 1/7 barbells. Meanwhile, barbells are more fairly valued relative to bullets at the long-end of the curve. The 5/30 and 7/30 barbells look particularly attractive relative to the 10-year bullet. We recommend adding a position long the 5/30 barbell and short the 10-year bullet. The 5/30 barbell is close to fairly valued on our model (panel 4), which implies that the 5/10/30 butterfly spread is priced for relatively little change in the 5/30 slope during the next six months. This trade should perform well in the modest curve flattening environment we anticipate, and it provides a partial hedge to our 1/7/20 trade that is geared toward curve steepening. Table 4Butterfly Strategy Valuation (As Of August 3, 2018) TIPS: Overweight Chart 8Inflation Compensation TIPS outperformed the duration-equivalent nominal Treasury index by 10 basis points in July, bringing year-to-date excess returns up to +139 bps. The 10-year TIPS breakeven inflation rate increased 1 bp on the month and currently sits at 2.12%. The 5-year/5-year forward TIPS breakeven inflation rate increased 8 bps on the month and currently sits at 2.24% (Chart 8). Both the 10-year and 5-year/5-year forward TIPS breakeven inflation rates remain below the 2.3% to 2.5% range that has historically been consistent with inflation expectations that are well-anchored around the Fed's 2% target. We expect breakevens will return to that target range as investors become increasingly convinced that the risk of deflation has faded. Consistent inflation prints at or above the Fed's 2% target will be the deciding factor that eventually leads to this upward re-rating of inflation expectations. In that regard, core PCE inflation was relatively weak in June, growing only 0.11% month-over-month. That pace is somewhat below the monthly pace of 0.17% that is necessary to sustain 2% annualized inflation (panel 4). Nevertheless, 12-month core PCE inflation at 1.9% is only just below the Fed's target, and the 6-month rate of change is above 2% on an annualized basis. These readings are confirmed by the Dallas Fed's trimmed mean PCE inflation measure (bottom panel). Maintain an overweight allocation to TIPS relative to nominal Treasury securities for now. We will reduce exposure to TIPS once both the 10-year and 5-year/5-year forward breakeven rates reach our target range of 2.3% to 2.5%. ABS: Neutral Chart 9ABS Market Overview Asset-Backed Securities outperformed the duration-equivalent Treasury index by 11 basis points in July, bringing year-to-date excess returns up to +9 bps. The index option-adjusted spread for Aaa-rated ABS narrowed 5 bps on the month and now stands at 38 bps, only 11 bps above its pre-crisis low. The Bond Maps show that consumer ABS continue to offer relatively attractive return potential compared to other low-risk spread products. However, we maintain only a neutral allocation to this space because credit quality trends have started to move against the sector. Despite the large upward revision to the personal savings rate that accompanied the second quarter GDP report, the multi-year uptrend in the household interest coverage ratio remains intact (Chart 9). This will eventually translate into more frequent consumer credit delinquencies, and indeed, the consumer credit delinquency rate appears to have put in a bottom. The Fed's Senior Loan Officer Survey for Q2 was released yesterday and it showed that average consumer credit lending standards tightened for the ninth consecutive quarter (bottom panel). Credit card lending standards tightened for the fifth consecutive quarter, while auto loan standards eased after having tightened in each of the prior eight quarters. Non-Agency CMBS: Underweight Chart 10CMBS Market Overview Non-Agency Commercial Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 37 basis points in July, bringing year-to-date excess returns up to +98 bps. The index option-adjusted spread for non-agency Aaa-rated CMBS tightened 5 bps on the month and currently sits at 71 bps (Chart 10). In a recent report we showed that the macro picture for CMBS is decidedly mixed.6 A typical negative environment for CMBS is characterized by tightening bank lending standards for commercial real estate loans and falling demand. Yesterday's Q2 Senior Loan Officer Survey reported that both lending standards and demand for nonresidential real estate loans were very close to unchanged (bottom two panels). Agency CMBS: Overweight Agency CMBS outperformed the duration-equivalent Treasury index by 24 basis points in July, bringing year-to-date excess returns up to +31 bps. The index option-adjusted spread tightened 5 bps on the month and currently sits at 47 bps. The Bond Maps show that Agency CMBS offer high potential return compared to other low risk spread products. An overweight allocation to this defensive sector continues to make sense. The BCA Bond Maps The following page presents excess return and total return Bond Maps that we use to assess the relative risk/reward trade-off between different sectors of the U.S. fixed income market. The Maps employ volatility-adjusted breakeven spread/yield analysis to show how likely it is that a given sector will earn/lose money during the subsequent 12 months. The Maps do not impose any macroeconomic view. The Excess Return Bond Map The horizontal axis of the excess return Bond Map shows the number of days of average spread widening required for each sector to lose 100 bps versus a position in duration-matched Treasuries. Sectors plotting further to the left require more days of average spread widening and are therefore less likely to see losses. The vertical axis shows the number of days of average spread tightening required for each sector to earn 100 bps in excess of duration-matched Treasuries. Sectors plotting further toward the top require fewer days of spread tightening and are therefore more likely to earn 100 bps in excess of Treasuries. The Total Return Bond Map The horizontal axis of the total return Bond Map shows the number of days of average yield increase required for each sector to lose 5% in total return terms. Sectors plotting further to the left require more days of yield increases and are therefore less likely to lose 5%. The vertical axis shows the number of days of average yield decline required for each sector to earn 5% in total return terms. Sectors plotting further toward the top require fewer days of yield decline and are therefore more likely to earn 5%. Chart 11Excess Return Bond Map (As Of August 3, 2018) Chart 12Total Return Bond Map (As Of August 3, 2018) Ryan Swift, Vice President U.S. Bond Strategy rswift@bcaresearch.com Jeremie Peloso, Research Analyst jeremiep@bcaresearch.com 1 Please see U.S. Bond Strategy Special Report, "Go To Neutral On Spread Product", dated June 26, 2018, available at usbs.bcaresearch.com 2 Please see U.S. Bond Strategy Weekly Report, "Out Of Sync", dated July 3, 2018, available at usbs.bcaresearch.com 3 Please see U.S. Bond Strategy Weekly Report, "The Fed's Balance Sheet Problem", dated July 17, 2018, available at usbs.bcaresearch.com 4 Please see U.S. Bond Strategy Special Report, "More Bullets, Barbells And Butterflies", dated May 15, 2018, available at usbs.bcaresearch.com 5 Please see U.S. Bond Strategy Weekly Report, "Rigidly Defined Areas Of Doubt And Uncertainty", dated June 19, 2018, available at usbs.bcaresearch.com 6 Please see U.S. Bond Strategy Weekly Report, "The Fed's Balance Sheet Problem", dated July 17, 2018, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation Total Return Comparison: 7-Year Bullet Versus 2-20 Barbell (6-Month Investment Horizon)

Overweight (High-Conviction) The S&P tech hardware, storage & peripherals (THSP) index touched a new all-time relative high this week on the back of another stunning earnings outperformance by Apple. In our opinion, there are three numbers worth highlighting. First, iPhone pricing is surprisingly resilient, despite seasonality and what was supposed to be a weakening smart phone market. Second, high-margin services are growing at a rate above 30%, a significant step in transitioning the company from its hardware focus. Lastly, we estimate revenues from the key Chinese market grew by 25%, excluding currency, even though a trade war is heating up. Overall, it's hard to see what stands in Apple's way. From a higher level, we continue to point to the index's pristine balance sheets, which should support ongoing share repurchases (recall Apple has $140 billion of net debt with a commitment to bring it to zero and a $100 billion share repurchase program this year). Further, with valuations that trail the overall market, we think all the good news has yet to be priced in. We reiterate our high-conviction overweight recommendation on the S&P THSP index. The ticker symbols for the stocks in the S&P THSP index are: BLBG: S5CMPE - HPQ, WDC, STX, XRX, AAPL, HPE, NTAP.

Special Report

Highlights The regulatory or "stroke of pen" risk is rising on FAANG stocks - Facebook, Apple, Amazon, Netflix, and Google; The U.S. anti-trust regulatory framework was designed to curb anti-competitive actions but has evolved to focus mostly on consumer welfare and prices; A shift toward the original regulatory regime would threaten the FAANGs, particularly Google and Amazon; A trade war hit to tech earnings could be the catalyst for a more general selloff today - but this is not our base case; For now, the market will view regulatory risk as noise and tech stocks will likely enter a blow-off phase; We remain neutral, preferring S&P software and hardware while underweighting semiconductors. Feature "I don't know what Twitter is up to." Rep. Devin Nunes (R-California), Chairman of the House Intelligence Committee, July 29, 2018 "I have stated my concerns with Amazon long before the Election. Unlike others, they pay little or no taxes to state & local governments, use our Postal System as their Delivery Boy (causing tremendous loss to the U.S.), and are putting many thousands of retailers out of business." President Donald J. Trump, March 29, 2018 "If we will not endure a king as a political power, we should not endure a king over the production, transportation, and sale of any of the necessities of life. If we would not submit to an emperor, we should not submit to an autocrat of trade, with power to prevent competition and to fix the price of any commodity." Senator John Sherman, 1890 Social media companies have had a terrible week, with Twitter falling 21% on July 27th and Facebook 19% on July 26th. Facebook posted weaker than expected earnings, but investors appeared to be particularly concerned with a miss in monthly active users. The shortfall in active users may have been affected by the new EU privacy rules, which came into force in May. Twitter's fall from grace came even though its revenues were up 24% on the year, with a record profit of $100 million. However, its effort to delete "bots" and suspicious user accounts brought its user total down to 335 million, from 336 million, prompting fears that the platform was slowing down. Twitter's and Facebook's enormous price volatility, despite decent earnings figures, reveals that investors are jittery about the performance of technology stocks, epitomized by the so-called FAANGs - Facebook, Apple, Amazon, Netflix, and Google. They are right to be, given that there are three broad risks to these companies: The next big thing: Before Facebook, there was MySpace. It is not inconceivable that new platforms - for instance, ones that emphasize privacy or that redistribute a portion of advertising revenue with users - could replace current market leaders. Revenue model: Although they are perceived to be cutting-edge technology companies, social media firms generate vast amount of their revenue through advertising. Facebook and Google have captured 25% of global media advertising revenues.1 At some point, Internet companies will reach a ceiling on this revenue as the attrition rate of local newspapers slows, as foreign markets introduce local alternatives (RenRen or Weibo in China, VKontakte in Russia), and as non-tariff barriers to trade begin impacting their international expansion (China's Internet Security Law). Regulation: Finally, regulatory pressure could grow for a number of reasons. First, European concerns regarding user privacy could migrate to the U.S. where a majority of voters already believe that tech companies need greater oversight (Chart 1). In fact, Americans now see tech companies as having as pernicious an influence as energy companies (Chart 2). Second, the U.S. approach to anti-trust problems could evolve away from the current paradigm that focuses on delivering lower prices to consumers. Third, President Trump and his conservative allies could target social media companies with perceived liberal bias for purely political reasons. Chart 1Majority Of Americans Want Tech Regulated Chart 2Tech And Energy Companies Now In Same Boat We have no particular insight into the competitive landscape of social media, web browsing, and Internet retail industries, so we will leave the first two threats to the experts in the field. Instead, we will focus in this report on the third threat, the "stroke of pen" regulatory risk. From Standard Oil To The Chicago School - America's Anti-Trust Framework Today's anti-trust regulatory framework has significantly deviated from the original intent behind the 1890 Sherman Act. As Lina M. Khan argues in "Amazon's Antitrust Paradox," "Congress enacted antitrust laws to rein in the power of industrial trusts, the large business organizations that had emerged in the late nineteenth century. Responding to a fear of concentrated power, antitrust sought to distribute it."2 Railroad construction in the late nineteenth century, largely financed by the municipal debt of farm-belt states, evolved from a shrewd capex investment in a new technology to a mania. To boost sagging profits, railroad barons fixed their prices to reduce competition. State anti-trust laws that emerged out of this era, the so-called "Granger laws," sought to curb monopolistic behavior by giving states control over railroad operations. These state laws ultimately coalesced into federal legislation, the 1890 Sherman Act. No trust had a larger impact on the U.S. legal and regulatory infrastructure than the case of Standard Oil in the early twentieth century.3 Although the company faced criticism in the immediate aftermath of the 1880s recession - particularly from the famous muckraking journalist Henry Demarest Lloyd - the dam broke for Standard Oil when the oil-price bubble popped in Kansas in 1904. A Standard Oil subsidiary - the Prairie Oil and Gas Company - decided to purchase oil by a specific gravity test, forcing some of the Kansas oil from the market. At the time, the oil boom in Kansas had turned many into stockholders in some prospecting company. When oil prices fell, so did the fortunes of these locals. The shock of the price collapse radicalized Kansas politics at the turn of the twentieth century. An idea for a state-owned oil refinery picked up steam in the state despite being labeled socialist. Ultimately, Kansas' delegation in the U.S. House of Representatives requested that the Secretary of Commerce investigate the causes of the low price of crude oil in the state. After several disastrous performances of Standard Oil executives on witness stands and in testimony, the federal government filed a petition against the company in November 1906. A large fine followed in August 1907. The 1890 Sherman Act and subsequent anti-trust policies were grounded in the theory of economic structuralism. "This view holds that a market dominated by a very small number of large companies is likely to be less competitive than a market populated with many small- and medium-sized companies." Through the 1960s, courts blocked mergers - both horizontal and vertical - and policed markets not only for size, or effect on consumer welfare, but also for conflicts of interest.4 In the 1970s and 1980s, however, the Chicago School approach gained prominence. The Chicago School rested on "faith in the efficiency of markets, propelled by profit-maximizing actors."5 While economic structuralists believed that the structure of an industry leads to market outcomes, Chicago School saw structure as the outcome of market dynamics, which themselves are sacrosanct. Chicago School adherents focused primarily on price dynamics and consumer welfare, ignoring how economic structures could create barriers to entry and thus uncompetitive markets. The most influential economist behind the Chicago School was Robert Bork, who asserted in his highly influential The Antitrust Paradox that the "only legitimate goal of antitrust is the maximization of consumer welfare."6 That said, his definition of consumer welfare was incredibly broad and revealed a clear corporate, if not a pro-monopoly, bias.7 The influential Chicago School ultimately impacted the Supreme Court, which declared in 1979 that "Congress designed the Sherman Act as a 'consumer welfare prescription.'"8 The Reagan Administration subsequently rewrote the 1968 merger guidelines to shift the focus purely to consumer welfare in the form of preventing monopolistic price increases and output restrictions. The government also stopped bringing anti-trust cases under the 1936 Robinson-Patman Act, which prohibits price discrimination by retailers among producers and vice versa. Bottom Line: The U.S. anti-trust regulatory framework was designed to curb broad anti-competitive actions of trusts. As Lina Khan discusses in her seminal article, these actions "include not only cost but also product quality, variety, and innovation."9 However, through subsequent regulatory evolution, the Chicago School has taken hold of the U.S. anti-trust process, solely focusing on consumer welfare and prices. We can draw two immediate conclusions from this historical overview of U.S. anti-trust policy. First, the laws on the books have not changed since World War Two. Despite the laws remaining the same, the theory of how to apply them in courts of law has dramatically changed, as economic structuralism gave way to the Chicago School's focus on prices and consumer welfare. If President Reagan and the courts could change how these laws are administered in the 1980s, then so can subsequent administrations and courts in the future. Second, a long period of slow growth, income inequality, and economic volatility - such as the 1870s-80s - can produce a political impetus for anti-trust policy. This was certainly the case for Standard Oil in 1911, which became a nation-wide boogeyman despite most of its transgressions occurring in the farm belt states. While the U.S. has not experienced a recession in almost a decade, it will eventually - and besides, income inequality is a prominent theme once again and a potential source of consumer discontent.10 A narrative could emerge - particularly if politically expedient - that growth has been unequally distributed between the old economy and the twenty-first century technology leaders. Will FAANGs Be De-FAANGed? At BCA Research, we are neither regulatory nor policy experts. As such, we do not have insight into current regulatory activity involving social media companies, Google, or Amazon. The preceding section merely illustrates that the federal government's approach to the anti-trust process could change. Indeed, the Obama administration signaled that its approach could become more active. One quantitative approach that investors can use to assess the risk of anti-trust legislation is the Herfindahl-Hirschman Index (HHI). It is the most commonly accepted measure of market concentration, used by the Department of Justice in assessing whether a particular market is controlled by a single firm.11 Chart 3 shows our reconstruction of the HHI for the present-day era, with three examples from the past. Chart 3Market Concentration By Industry And Eras The 1911 refined petroleum sector harkens back to the aforementioned Standard Oil case; The 2001 Internet browser market refers to the United States v. Microsoft Corp that led to the June 2000 decision (later reversed on appeal) to break-up the software giant; The 1983 telecommunication sector illustrates the HHI for the telecom market at the time of the AT&T divestiture. The data is clear: of the five FAANG companies, only Google reaches a concerning level on the HHI measure. This has already made it a target of European authorities. On the other hand, competition within both streaming (Netflix, Amazon) and social networks (Facebook) appears relatively healthy. However, social networks could be at risk of European-style privacy protections. The EU General Data Protection Regulation (GDPR), which came into force on May 2018, imposes considerable compliance burdens on any company handling user data. California has already signed its own version of the law - the Consumer Privacy Act - which will go into effect in January 2020. These laws give consumers the right to know what information companies are collecting about them and what companies that data is being shared with. They also allow consumers to ask technology companies to delete their data or not to sell it. While tech companies are likely to fight the new California law, we believe the writing is on the wall. The EU is by some measures the largest consumer market on the planet. California is certainly the largest U.S. market. It is unlikely that the momentum behind consumer protection will change, especially with the EU and California taking the lead. Given that advertising revenue is crucial to the business model of social media companies and Google, a significant uptick in privacy regulation could hurt their bottom line. On the other hand, as we discuss below, the new regulatory rules create massive barriers to entry for small firms looking to replace the tech giants. Furthermore, many of the targeted social media companies have run afoul of President Trump in particular and the broader conservative movement in general. As such, privacy advocates - who tend to lean left - and conservatives, who feel that their commentators are being silenced by Silicon Valley, could form a classic "bootleggers and abolitionists" coalition against the FAANGs (Chart 4). Finally, there is the question of Amazon. We do not construct an HHI for Amazon's place in the retail market because E-commerce only accounts for about 9.5% of total U.S. retail sales (Chart 5). Amazon has been leading the charge, but it still accounts for just under half of that 9.5% total figure (Chart 6). Chart 4Conservatives Distrust Tech Companies Chart 5E-Commerce: Steady Increase In Market Share Chart 6Amazon Dominates Amazon's strength is that, in the current anti-trust framework, it conforms fully to the "consumer welfare" priorities elucidated by the Chicago School. Amazon, by and large, lowers prices for consumers. However, several of its practices could be seen as predatory in the more expansive, economic structuralist, approach.12 In addition, President Trump has reserved most of his Twitter scorn on the firm, particularly because CEO Jeff Bezos owns the liberal-leaning Washington Post. Bottom Line: Investors are correct to fret that the "stroke of pen" risk is rising when it comes to FAANG companies. Google scores considerably higher than either Standard Oil or Microsoft on the Department of Justice HHI. Social media companies are already under the microscope by conservative legislators and voters, who perceive them to be biased. Liberals, on the other hand, support toughened-up privacy rules that could undermine the business model of social media companies. Amazon's market dominance is overstated. However, several of its business practices could come under greater scrutiny if any administration should revert back to the original reading of the 1890 Sherman Law. Technology Stocks Have Brought The S&P 500 Up; Could They Bring It Down? It is now a well-worn understanding that the reason why the S&P 500 has performed well is largely due to the performance of a few (enormous) technology stocks (see Chart 7 and Table 1) who have seen both earnings and valuation multiples expand amid one of the longest economic growth phases in history. The preceding section certainly suggests that frothy valuations and the rising regulatory impetus imply that future upside potential is swamped by downside risk. Chart 7FAANG Stocks + Microsoft Have##br## Dramatically Outperformed... Table 1...Generating 50% Of The##br## 2018 S&P 500 Return! If this negative scenario is what actually plays out in the market, the implications could be more severe than in the past. Indexed fund inflows have replaced actively managed fund outflows, as our colleagues in BCA's Global ETF Strategy recently pointed out (Chart 8).13 Considering the rise of these few technology stocks and their increasing weight in the S&P 500 and, necessarily, in the majority of ETFs, more people than ever before are invested in technology stocks, whether they know it or not. Accordingly, the performance of these stocks has become material to the household balance sheet, which is a driver of consumption and, hence, the economy. Thus, it may not be hyperbole to say the economy depends to some extent on Amazon maintaining a high valuation multiple. Chart 8ETF Inflows Offset Actively Managed Outflows Adding some weight to this thesis is the mounting concern over a global trade war. The technology sector in general is by far the most international (as defined by foreign-sourced revenues) of GICS 1 sectors. More specifically, the top three semiconductor & semiconductor equipment companies (INTC, NVDA & TXN), which collectively represent more than 50% of the weight of that index, generate on average only 17% of their revenues in the U.S. Moreover, the more dangerous and lasting trade risk emanates from the U.S.-China showdown, which centers on the technology sector. Should the worst trade outcomes occur, it is not unreasonable to see impaired technology earnings being the catalyst for a more general sell-off. We recommend underweight positions in both the S&P semiconductors and S&P semiconductor equipment indexes. We Think Not Despite the foregoing, we think a more likely scenario is actually a blow-off phase where technology stocks accelerate rather than decline in an increasingly restrictive regulatory environment. In a recent report analyzing sector performance in the last stages of the bull market, we noted that across seven iterations dating back to the 1960's, the information technology sector delivered a median 14% outperformance relative to the S&P 500 (Table 2).14 And, while returns in these stocks have been excellent this year, their gains seem modest compared to the performance in the 1999-2000 iteration. Table 2Tech Stocks Are Strong Late Cycle Performers Underpinning our expectations is the recent stock reactions to regulatory actions. Beginning with Facebook, in the week of March 26, 2018, the firm was hit with severely negative headlines. First, the Cambridge Analytica scandal pointed out that the firm may be caught on the wrong side of EU GDPR rules, followed by the firm being investigated for an EU antitrust suit for the online ad market; the stock fell 15% from the week prior. However, within two months, the stock had fully recovered and a further two months later the stock was up 18% from its starting point. Recently the stock has fallen significantly on the back of very weak guidance; the company noted that revenue growth would decelerate and operating margins would fall to the mid-30% range from the current mid-40% range. It is not unreasonable to think management may be sandbagging earnings growth to defray some of the elevated regulatory scrutiny into its outrageous profitability. Google too has seen negative regulatory headlines, having been hit with a $5 billion fine in the EU for abusing the dominance of the Android mobile operating system in July this year. The stock responded by closing higher and then rose a further 10% in the following two weeks. Overall, we think the market views regulatory risk as noise. For now. But What About The Earnings? Do They Matter? While the earnings implications of yet-to-be-proposed regulatory changes are unknowable, we believe even the pursuit of an answer is a red herring. As shown by Chart 9, the market does not appear to care about next year's earnings as valuation multiples have little consistency with either themselves or the broad market. The implication is that near-term earnings are of relatively little importance, at least compared to the long-term growth outlook. Chart 9Tech Valuations Are Meaningless Further, these companies are a collection of businesses that are not necessarily cohesive. For example, Facebook includes Instagram, WhatsApp and Oculus while Amazon Web Service is a non-retail business that delivers half of Amazon's profit. A reasonable case could be made that breaking up these companies into their components could actually unlock considerable value. Lastly, new regulation, particularly with respect to privacy and data protection, is likely to create significant barriers for new entrants as compliance costs will be relatively more onerous for those companies with fewer resources. Thus, incoming privacy legislation may neuter the impact of any anti-trust legislation. Be Wary With Technology But For The Right Reasons We fully expect more regulation to remain a significant part of the conversation with respect to FAANG stocks and further expect that conversation to promote higher than normal volatility in the sector. However, we also expect the market to mostly look through this risk; buying the dip has thus far been the right approach to headline risk in technology. We think there are better reasons to remain cautious with technology. As noted above, they are heavily international and a strengthening U.S. dollar will be a headwind to 2019 earnings to a greater extent than to the broad market (please see our June 4th Weekly Report for more details). Supporting the dollar, BCA expects higher interest rates in 2018 on the back of rising inflation. Overall, we prefer old tech (S&P software and S&P technology hardware, storage & peripherals, both which are high-conviction overweights) that is levered to our synchronized global capex upcycle theme. It also boasts high cash flow and low valuations. We are less sanguine about technology early cyclicals (S&P semiconductors and S&P semiconductor equipment) which we rate as underweight. Net, we think risks are balanced in the tech sector and maintain a neutral recommendation for the S&P information technology sector. BCA Geopolitical Strategy Housekeeping In light of several announcements regarding China's efforts to ease up on economic policy, we are closing several of our trades: Short China-exposed S&P 500 Companies versus U.S. financials and telecoms - opened on May 30 for a 7.13% gain; Long DXY - opened on January 31 for a 5.85% gain; Short GBP/USD - opened on February 14 for a 6.21% gain; Long Indian equities / short Brazilian equities - opened on March 6 for a 27.54% gain. Long French industrial equities / short German industrial equities - opened on May 16 for a 2.21% gain. We still believe that Chinese structural reforms will continue, weighing on domestic and global growth. In the face of ongoing U.S. fiscal stimulus, the interplay between the two major economies will therefore continue to produce a dollar-bullish environment. However, the dollar's stretched positioning and the Chinese reflation narrative could hurt the greenback while reflating global risk assets in the near term. We will therefore look for an opportunity to reassert our negative EM view. Over the next two weeks, our reports will focus on Chinese stimulus and ongoing structural reforms. Marko Papic, Senior Vice President Chief Geopolitical Strategist marko@bcaresearch.com Chris Bowes, Associate Editor U.S. Equity Strategy chrisb@bcaresearch.com 1 Please see WARC, "Mobile is the world's second-largest ad medium," dated November 30, 2017, available at warc.com. 2 Please see Lina M. Khan, "Amazon's Antitrust Paradox," The Yale Law Journal 126:710 (2017). 3 Please see Steven L. Piott, The Anti-Monopoly Persuasion (Westport, Connecticut: Greenwood Press, 1985). 4 Khan 718. 5 Khan 719. 6 Please see Robert H. Bork, The Antitrust Paradox: A Policy at War with Itself (New York: Free Press, 1978). 7 By Bork's broad definition of "consumer welfare," even Jeff Bezos is a consumer whose rights have to be protected by anti-trust policy. "Those who continue to buy after a monopoly is formed pay more for the same output, and that shifts income from them to the monopoly and its owners, who are also consumers. This is not dead-weight loss due to restriction of output but merely a shift in income between two classes of consumers. The consumer welfare model, which views consumers as a collectivity, does not take this income effect into account," Bork, 32, our emphasis. 8 Please see Reiter v. Sonotone Corp., 442 U.S. 330, 342 (1979). 9 Khan 737. 10 Please see BCA Geopolitical Strategy Special Report, "Populism Blues: How And Why Social Instability Is Coming To America," dated June 9, 2017, available at gps.bcaresearch.com. 11 Please see The U.S. Department of Justice, "Herfindahl-Hirschman Index," available at justice.gov. 12 Please see Olivia LaVecchia and Stacy Mitchell, "Amazon's Stranglehold: How the Company's Tightening Grip Is Stifling Competition, Eroding Jobs, and Threatening Communities," Institute for Local Self-Reliance, dated November 2016, available at ilsr.org. 13 Please see BCA Global ETF Strategy Special Report, "Do ETF Flows Lead Currencies?" dated April 18, 2018, available at etf.bcaresearch.com. 14 Please see BCA U.S. Equity Strategy Special Report, "Portfolio Positioning For A Late Cycle Surge," dated May 22, 2018, available at uses.bcaresearch.com.

Overweight (High Conviction) In what has become a surprisingly repetitive narrative, global trade bellwether Caterpillar reported results yesterday that beat analyst expectations and lifted their full-year guidance. Management noted that global demand is robust enough for the company to push through price increases that more than offset higher tariff-related input costs; this is well reflected in volumes (second panel). We view these results as further confirmation that BCA's synchronized global capital spending macro theme remains fully intact and will continue to underpin the S&P construction machinery & heavy truck (CMHT) index. We take our cue from our machinery EPS model which suggests an earnings-led rally is in the offing (third panel), supported by firming commodity prices (top panel). We reiterate our high-conviction overweight recommendation on the S&P CMHT index. The ticker symbols for the stocks in this index are: BLBG: S5CSTF - CAT, CMI, PCAR.