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BCA Indicators/Model

Highlights The persistent weakness of the RMB appears to be one important factor weighing on Chinese stocks, particularly the domestic market. CNYUSD may have some upside from current levels if the Trump administration applies only 10% rate to the second round of planned tariffs, but on balance is likely to come under further market pressure. This explains the PBOC's decision to try to support the currency. Interestingly, July brought some hopeful (albeit early) macro signals from China among the data that we track, some of which appear to have been overlooked by investors. Still, a neutral stance towards Chinese investable stocks versus the global benchmark continues to be warranted, at least until some clarity emerges about the magnitude and disposition of the export shock. Feature Economic and financial market conditions in China have not meaningfully improved since the publication of our last weekly report. Chart 1 highlights that China's economic surprise index remains in negative territory, and Chart 2 shows that Chinese investable and domestic stocks remain 22% and 29%, respectively, below their rolling 1-year high in local currency terms. In US$ terms, domestic Chinese stocks are 34% below their January peak, owing to the significant decline in CNYUSD. The BCA China Play Index and the relative performance of domestic infrastructure stocks versus global equities are two additional market indicators that we are watching closely as proxies for reflation, and neither is signaling a significant improvement (Chart 3). Chart 1Persistently Negative Economic Surprises... Chart 2...And Still In A Bear Market Chart 3Reflation Proxies Are Not Signaling A Major Economic Upturn The RMB Factor The persistent weakness of the RMB appears to be one important factor weighing on Chinese stocks, particularly the domestic market. While a weaker currency will actually help offset some of the export shock, Chart 4 shows that domestic stocks have not responded positively to the decline: the rolling 3-month correlation between the two has soared even further into positive territory over the past month, which may explain recent actions from the PBOC to help stabilize the currency. In short, the RMB appears to be acting as the "panic barometer" for domestic equity investors. Chart 4The RMB Is Acting As A "Panic Barometer" For Domestic Stocks Chart 5Some Evidence Of PBOC-Driven Depreciation The PBOC continues to maintain that it is not actively manipulating the RMB, arguing that both last year's appreciation and Q2's depreciation have occurred due to market supply and demand. Chart 5 casts some doubt on this claim, suggesting that at least some of the recent decline has been purposeful. The chart shows the standardized 1-month percent change in official reserves, measured in SDRs to help remove the impact of currency fluctuations. It highlights that the change in currency-neutral reserves has been quite elevated over the past three months relative to recent history, which is what would be expected (absent major capital outflow) if the PBOC was buying foreign currency assets to push down the exchange rate. But we agree that the extent of the decline is now probably more than what policymakers are comfortable with, which raises the question of how much more market-based pressure the RMB is likely to come under. In attempting to answer this question, it is interesting to note that the magnitude of the decline in CNYUSD over the past two months seems to have been closely aligned with the share of proposed tariffs as a share of Chinese exports to the U.S., as would be implied in a simple open economy model with flexible exchange rates. Chart 6 illustrates the magnitude of the decline in CNYUSD that would be implied by this framework in a variety of tariff scenarios. The chart shows that the RMB has some upside from current levels if the rate on the second round of tariffs is limited to 10% (instead of the 25% that has been threatened), and no additional tariffs are levied. But it also shows that further market pressure on the exchange rate is likely if the Trump administration simply follows through with their stated plans, and especially if the U.S. moves to tariff all imports from China. Notably, in the scenarios showing a further RMB decline, all of them fall below the psychologically important level of 7 yuan to the dollar. Chart 6More Pressure On RMB To Come If Trump Merely Follows Through With His Threats Given this, it is easy to see why investors feel that they are in limbo regarding the outlook for Chinese stock prices. They can observe the reflationary outlook of Chinese policymakers, but they are also factoring in: A looming export shock of still uncertain magnitude A strong signal from authorities that the campaign to control leverage and crackdown on shadow banking will not be abandoned Persistent RMB volatility An ongoing "old economy" slowdown that was already underway prior to the imposition of tariffs Domestic Economy Crosscurrents Chart 7Closely Watched Data Releases Negatively Surprised In July Concerning the last of these factors, we have written about a slowdown in China's old economy for the better part of the past year, a view that is now sharply in the market's focus given the negative external outlook. Last week's disappointing release of the July retail sales, industrial production, and fixed asset investment data certainly did not help improve investor sentiment towards China's economy (Chart 7). Interestingly, however, July did bring some hopeful (albeit early) macro signals from China, some of which appear to have been overlooked by investors. Table 1 presents the dashboard of select macro series that we have showed in several reports over the past few months. It highlights the evolution of the key six components of our BCA Li Keqiang index Leading Indicator, four housing market series that we have found to have strongly leading properties, as well as the NBS and Caixin manufacturing PMIs. Credit growth and the PMIs are currently providing the most negative signals, in that they declined in July and are below their 12-month moving average. In the case of credit growth, this is a continuation of an almost 2-year downtrend, but the PMI weakness has been much more recent (in response to the worsening export outlook). But several indicators that we track ticked up in July, including 4 out of 6 components of our leading indicator for the Li Keqiang index (LKI). The fact that monetary conditions indexes have risen should not be surprising given the recent weakness in the currency, but growth in the money supply also ticked up non-trivially last month (possibly due to the PBOC's apparent manipulation of the RMB). In the case of M2, the tick up technically pushed the YoY growth rate (modestly) above its trend for the first time in 2 years. Table 1Some Hopeful Signs, But Credit Remains Weak There are two other points from Table 1 worth highlighting, the first of which is negative. While the LKI itself has looked reasonably strong over the past few months (in contrast to our slowing domestic demand view), it ticked down in July for the second time. In addition, the LKI has recently been propped up by two, presumably unsustainable, factors: a spurt of rail cargo volume growth that appears to be strongly linked to trade front-running in advance of the U.S. import tariffs, and a surge in electricity consumption from the services industry (which is not investment-intensive). Chart 8 controls for the second factor by presenting an alternative measure of the LKI that replaces overall electricity production with consumption in primary and secondary industries; the difference in the recent trend between the two measures is clear. Chart 8The LKI Is Being Held Up By Trade Front Running And Services The second important point from Table 1 is positive: both housing starts and sales accelerated very significantly in July, with sales being particularly notable. BCA's China Investment Strategy service has highlighted that the housing sector represented the best candidate for meaningful acceleration in Chinese economic activity, and the July data was particularly impressive. It remains unclear whether the authorities will continue to follow through with a crackdown on the property sector, despite recent statements suggesting they will: household leverage is not enormously elevated relative to GDP, but it has accelerated very significantly over the past couple of years. But if the recent strength in sales volume continues and policymakers do not respond aggressively with macroprudential measures, our conviction in a sustained residential construction boom in China would rise materially. This will be important for investors to monitor, as it could provide a critical source of investment-driven domestic demand over the coming 6-12 months. Investment Conclusions Despite the crosscurrents buffeting China's economic outlook, we can draw three conclusions that lead us to firm near-term investment strategy recommendations: Market proxies are not signaling that Chinese policymakers will end up overstimulating the economy For now, credit growth, and the domestic "old economy" more generally, continues to decelerate Further RMB weakness may be in the cards To us, these conclusions clearly argue for a neutral stance towards Chinese investable stocks versus the global benchmark, at least until some clarity emerges about the magnitude and disposition of the export shock. We also continue to recommend that investors favor low market beta sectors within the investable universe, such as classical defensives as well as industrials.1 In early-July, we opened a "shadow" trade of being long the MSCI China A Onshore index / short MSCI China index, which we said we would consider implementing in response to a 5% rally in relative dollar performance. Chart 9 highlights that this threshold has not yet been reached, and we continue to warn against trying to catch a falling knife. But Chart 10 underscores how stretched (to the downside) domestic stocks have become: versus the global benchmark, relative stock prices in US$ have fallen to an 11-year low. Panel 2 illustrates that this stretched performance is at least in part driven by the performance of U.S. equities, but domestic stocks prices are still at the very low end of their post-GFC range when compared with global ex-U.S. stocks. Chart 9Still Too Early To Buy A-Shares... Chart 10...But The Selloff Seems Extremely Late In short, the potential for a substantial bounce in relative domestic equity performance is considerable were the economic outlook to stabilize, and we will be watching closely for an opportunity to time a reversal. Stay tuned! Jonathan LaBerge, CFA, Vice President Special Reports jonathanl@bcaresearch.com 1 Investable industrial stocks in China have become relatively low-beta, owing to the fact that they had already materially underperformed the investable benchmark prior to the emergence of trade frictions with the U.S. Cyclical Investment Stance Equity Sector Recommendations
We published a Special Alert report titled Turkey: Book Profits On Shorts yesterday. The link is available on page 18. This report is Part 2 of an overview of the cyclical profiles of emerging market (EM) economies. This all-in-charts presentation illustrates the business cycle conditions of various developing economies. The aim of this report is to provide investors with a quick assessment of where each EM economy stands. In addition, we provide our view on each market. The rest of the countries were covered in Part 1, published last week (the link to it is available on page 18). Chart I-1 Malaysia: Keep Underweight For Now As... Malaysia: Keep Underweight For Now As...Malaysia: Keep Underweight For Now As... Malaysia: Keep Underweight For Now As... ...Bank Shares Have Significant Downside ...Bank Shares Have Significant Downside ...Bank Shares Have Significant Downside...Bank Shares Have Significant Downside Indonesia: Underweight Equities & Bonds Indonesia: Underweight Equities & Bonds Indonesia: Underweight Equities & Bonds Indonesia: Underweight Equities & Bonds Indonesia: Underweight Equities & Bonds Indonesia: The Sell-Off Is Not Over Yet Indonesia: The Sell-Off Is Not Over Yet Indonesia: The Sell-Off Is Not Over Yet Indonesia: The Sell-Off Is Not Over Yet Indonesia: The Sell-Off Is Not Over Yet Thailand: Stay Overweight Thailand: Stay Overweight Thailand: Stay OverweightThailand: Stay Overweight Thailand: Better Positioned To Weather The EM Storm Thailand: Better Positioned ##br##To Weather The EM Storm Thailand: Better Positioned ##br##To Weather The EM Storm Thailand: Better Positioned ##br##To Weather The EM Storm Thailand: Better Positioned ##br##To Weather The EM Storm Philippines: Inflation Breakout Philippines: Inflation BreakoutPhilippines: Inflation Breakout Philippines: Inflation Breakout Philippines: Neutral On Equities Due To Oversold Conditions Philippines: Neutral On Equities ##br##Due To Oversold Conditions Philippines: Neutral On Equities ##br##Due To Oversold ConditionsPhilippines: Neutral On Equities ##br##Due To Oversold Conditions Central Europe: Labor Shortages & Wage Inflation Central Europe: Labor Shortages & Wage Inflation Central Europe: Labor Shortages & Wage Inflation Central Europe: Robust Growth - Overweight Central Europe: Robust Growth - Overweight Central Europe: Robust Growth - OverweightCentral Europe: Robust Growth - Overweight Chile: Robust Growth - Overweight Equities Chile: Robust Growth - Overweight Equities Chile: Robust Growth - Overweight Equities Chile: No Inflationary Pressures Chile: No Inflationary PressuresChile: No Inflationary PressuresChile: No Inflationary Pressures Chile: No Inflationary Pressures Colombia: Currency Will Be A Release Valve Colombia: Currency Will Be A Release Valve Colombia: Currency Will Be A Release Valve Colombia: Currency Will Be A Release Valve Colombia: Currency Will Be A Release Valve Colombia: Credit Growth Remains A Headwind For Economy - Neutral Colombia: Credit Growth Remains ##br##A Headwind For Economy - Neutral Colombia: Credit Growth Remains ##br##A Headwind For Economy - NeutralColombia: Credit Growth Remains ##br##A Headwind For Economy - Neutral Peru: Vulnerable To External Developments Peru: Vulnerable To External Developments Peru: Vulnerable To External Developments Peru: Vulnerable To External Developments Peru: Vulnerable To External Developments Peruvian Equities - Underweight Peruvian Equities - Underweight Peruvian Equities - UnderweightPeruvian Equities - Underweight
Highlights It has not been a lot of fun being a corporate bond investor in 2018. Global credit markets have struggled to deliver positive returns, amid a news flow that has been overwhelming at times. Geopolitical uncertainty, shifting monetary policy biases, greater inflation pressures, intensifying trade tensions, a rising U.S. dollar, slowing Chinese growth - all have combined to form a backdrop where investors should require wider risk premiums to own risky assets like corporate debt. Yet are wider spreads justified relative to the underlying financial health of companies? Feature Chart 1Global Corporates: Fading Support From##BR##Growth & Monetary Policy Against this backdrop of more uncertainty in credit markets, we are presenting our latest update of the BCA Corporate Health Monitor (CHM) Chartbook. The CHMs are composite indicators of balance sheet and income statement ratios (using both top-down and bottom-up data) that are designed to assess the financial well-being of the overall non-financial corporate sectors in the major developed economies. A brief overview of the methodology is presented in Appendix 1 on page 16. The broad conclusion from the latest readings on our CHMs is that global credit quality has been enjoying a cyclical improvement across countries, regions and credit tiers. The U.S. has delivered the biggest improvement in corporate health, compared to the recent past and to bearish investor perceptions as well. Much of that can be attributed to the impact of the Trump corporate tax cuts, though. At the same time, there have even been significant improvements in profitability metrics in regions that have lagged during the current global economic expansion, like Peripheral Europe. We recently downgraded our overall global spread product allocation to neutral.1 This reflected the increased concerns of the BCA Strategists that valuations on global risk assets looked rich compared to growing geopolitical risks (U.S.-China trade tensions, U.S.-Iran military tensions). Yet it also was related to the ongoing development of our biggest investment theme for 2018 - the eventual likely collision between tightening global monetary policy and rich valuations on global risk assets. Looking ahead, the tailwinds that have been supportive for corporate health and the performance of global corporate debt in the past couple of years - a coordinated cyclical upturn driving solid earnings growth, with low inflation allowing monetary policies to stay accommodative - are becoming headwinds (Chart 1). The overall OECD leading economic indicator, which is well correlated to the annual excess returns of global high-yield debt, has peaked. Central banks are either delivering rate hikes, talking about rate hikes, or cutting back on the pace of balance sheet expansion. All of these factors will weigh on corporate bond returns over the next 6-12 months. U.S. Corporate Health Monitors: Improving Thanks To Resilient Growth & Tax Cuts Chart 2Top-Down U.S. CHM:##BR##Boosted By Cyclically Strong Profits Our top-down CHM for the U.S. has been in the "deteriorating health" region for fifteen consecutive quarters dating back to the middle of 2014 (Chart 2). That streak appears set to end soon, as the indicator has been falling since peaking in 2016 and now sits just above the zero line. The resilience of the U.S. economy, combined with the positive impact on U.S. profitability from the Trump corporate cuts, has put U.S. companies in a cyclically healthier position, even with relatively high leverage. It is important to note that the top-down CHM uses after-tax earnings measures in several of the ratios the go into the indicator: return on capital, profit margin and debt coverage. All three of those ratios saw significant upticks in the first quarter of 2018, which is the latest available data for the top-down CHM. The Trump tax cuts did take effect at the start of the year, but given the robust results seen in reported second quarter profits reported so far, a bigger impact will likely be visible once we are able to update the CHM for the most recently completed quarter. The ability for U.S. companies to continue expanding margins will be tested in the next 6-12 months. The tight U.S. labor market is pushing up wage growth, which will pressure margins and prompt some firms to try and raise prices to compensate. Firming U.S. inflation is already keeping the Fed on a 25bps-per-quarter pace of rate hikes, and perhaps more if U.S. inflation continues to accelerate without any slowing of U.S. economic growth. If the Fed starts actively targeting a slower pace of U.S. growth to cool off inflation, credit markets will take notice and U.S. corporate debt will underperform. From a fundamental perspective, the top-down U.S. CHM suggests that the U.S. credit cycle is being extended by the stubborn endurance of the U.S. business cycle. There are no imminent domestic pressures on U.S. corporate finances that should require wider credit spreads to compensate for rising default risk. The bottom-up versions of the U.S. CHMs for investment grade (IG) corporates (Chart 3) and high-yield (HY) companies (Chart 4) have also both improved, with the HY indicator now crossing over the zero line into "improving health" territory. This confirms that the signal from our top-down CHM is being reflected in both higher-rated and lower quality companies. Yet the longer-term issues of high leverage and low interest/debt coverage are not going away, suggesting that potential problems are being stored up for the next U.S. economic downturn. What also remains worrying is the fact that IG interest coverage has fallen in recent years, despite high profit margins and historically low corporate borrowing rates. This indicates that the stock of U.S. corporate debt is now so large that the interest expense required to service that debt is eating up a greater share of corporate earnings, even at a time when profit growth is still quite strong. This will raise downgrade risk if corporate borrowing rates were to rise significantly or if U.S. earnings growth slows sharply. We moved our recommended stance on U.S. IG and HY to neutral at the end of June as part of our downgrade of overall global spread product exposure. We may consider a move back to overweight (versus U.S. Treasuries) on any meaningful spread widening given our optimistic view on U.S. economic growth and the positive measure on credit risk signaled by our CHMs. Yet it may be difficult to get such an opportunity. The U.S. is reaching a more challenging point in the monetary policy cycle with the Fed likely to shift to a restrictive stance within the next 6-12 months. At the same time, there are risks to the U.S. economy stemming from the widening U.S.-China trade conflict, a stronger U.S. dollar and, potentially, the growing turmoil in emerging markets. Yet the state of U.S. corporate health has improved substantially, leaving companies less immediately vulnerable to any of those shocks. Given this balance of risks, a neutral stance on U.S. corporates remains appropriate (Chart 5). Chart 3Bottom-Up U.S. Investment Grade CHM:##BR##Stable, But Watch Profit Margins Chart 4Bottom-Up U.S. High-Yield CHM:##BR##Cyclical Improvement Chart 5U.S. Corporates:##BR##Stay Neutral IG & HY Euro Corporate Health Monitors: Strong Economy, Big Improvements Our top-down euro area CHM remains in "improving health" territory, as has been the case for the past decade (Chart 6). The indicator had been worsening towards the zero line during 2016-17, but rebounded in the first quarter of 2018 thanks to a pickup in profit margins and debt coverage. Those positive developments are even more impressive since they occurred during a quarter when there was some cooling from the robust pace of economic growth seen in 2017. Chart 6Top-Down Euro Area CHM: Modestly Improving Interest coverage and liquidity remain in structural uptrends, supported by the super-easy monetary policies of the European Central Bank (ECB) that have lowered corporate borrowing costs (negative short-term interest rates, liquidity programs designed to prompt low-cost bank lending, and asset purchase programs that include buying of corporate bonds). Our bottom-up versions of the CHMs for euro area IG (Chart 7) and HY (Chart 8), which are based on individual company earnings data, both confirm the positive message from the top-down CHM. For IG, a noticeable gap has opened up between domestic and foreign issuers in the euro area corporate bond market. Return on capital, operating margins, interest coverage and debt coverage all ticked higher in the first quarter of this year, while leverage slightly declined. Those developments were not repeated among the foreign issuers in our sample. Within the Euro Area, our bottom-up CHMs show that the gap has closed between IG issuers from the core countries versus the periphery, but both remain in the "improving health" zone. (Chart 9). Somewhat surprisingly, the only ratios where there is a material difference are leverage (150% and falling in the periphery, 100% and stable in the core countries) and interest coverage (rising sharply toward 5x in the periphery, stable just above 6x in the core). Despite the improvement in the CHMs, credit spreads for euro area IG and HY have both widened over the course of 2018, while excess returns have been negative year-to-date (Chart 10). Looking ahead, we see the biggest threat for euro area corporate bond performance to come from a shift in ECB policy. We expect the ECB to follow through on its commitment to fully taper net new government bond purchases by the end of 2018, while continuing to reinvest the proceeds of maturing debt in 2019 and beyond. It is less clear what the ECB will do with its corporate bond buying program, and there has been some speculation that the ECB could leave its corporate program untouched while tapering the government purchases. We doubt that the ECB would want to make such a distinction that would artificially suppress corporate borrowing costs relative to government yields. The ECB is more likely to end both programs concurrently at the end of the year, which will remove a major prop under the euro area corporate bond market. This is a main reason why we are currently recommending an underweight stance on euro area corporates versus U.S. corporates. Chart 7Bottom-Up Euro Area Investment Grade CHMs: Domestic Issuers Looking Better Chart 8Bottom-Up Euro Area High-Yield CHMs: Falling Leverage, Mediocre Profitability Chart 9Bottom-Up Euro Area IG CHMs: Periphery Improving vs Core Yet the bigger reason why we prefer corporates from the U.S. over the euro area is that the relative improvement in corporate health has been bigger in the U.S. The gap between our top-down CHMs for the U.S. and Europe has proven to be an excellent directional indicator for the relative performance of U.S. credit vs Europe (Chart 11). That CHM gap continues to favor U.S. credit, which has been outperforming over the past several months (on a common currency basis compared to euro area debt hedged in USD). Chart 10Euro Area Corporates:##BR##Stay Underweight IG & HY Chart 11Relative Top-Down CHMs:##BR##Continue To Favor U.S. over Europe U.K. Corporate Health Monitor: Deteriorating Amid Rising Domestic Risks The U.K. CHM saw a significant deterioration in the first quarter of 2018, thanks largely to slowing U.K. growth that has impacted all the profit-focused ratios (Chart 12). The CHM is still in the "improving health" zone, but just barely. Seeing the return on capital, profit margin, interest coverage and debt coverage ratios all roll over at historically low levels is a worrying sign for future U.K. credit quality. This is especially true given the extremely stimulative monetary policy run by the Bank of England (BoE) since the 2008 Global Financial Crisis. The only ratio in the U.K. CHM that has seen steady improvement over the past decade is short-term liquidity (bottom panel), which has been boosted by steady increases in working capital. The performance of U.K. credit has benefited from the BoE's additional monetary policy measures taken after the shock Brexit vote in 2016. This involved both interest rate cuts and asset purchases, which included buying of U.K. corporate bonds. The BoE has shifted its policy bias from easing to tightening over the past year, even with sluggish U.K. economic growth and still-unresolved uncertainty about the future U.K. trading relationship with the European Union. This has raised the risks that the BoE could commit a policy error through additional interest rate hikes over the next 6-12 months, especially if policymakers focus more on targeting higher real policy rates as we discussed in a recent Weekly Report.2 U.K. corporates have been a laggard among global credit markets throughout 2018 and especially so in the month of July during a generally positive month for global corporate debt (Chart 13). We see the underperformance continuing in the coming months, as wider spreads will be required given the uncertainties surrounding Brexit, economic growth and BoE monetary policy. Stay underweight U.K. corporate debt within an overall neutral allocation to global spread product. Chart 12U.K. Top-Down CHM: Cyclical Deterioration Chart 13U.K. Corporates: Stay Underweight Japan Corporate Health Monitor: No Problems Here We added Japan to our suite of global CHMs earlier this year.3 Although the Japanese corporate bond market is small (the Bloomberg Barclays Japan Corporates index only has a market capitalization of $116bn), the asset class does provide opportunities for investors to pick up a bit of yield versus zero-yielding Japanese government bonds (JGBs) Japanese corporate health has been excellent for the past decade, with the CHM steadily holding in "improving health" territory (Chart 14). The trends in the Japan CHM ratios since 2008 are quite different than those seen in the CHMs for other countries. Leverage has been steadily falling, return on capital has been steadily rising (and has now converged to the 6% level seen in other countries' CHMs), and the interest coverage multiple of 9.6x is by far the largest in our CHM universe. Default risk is non-existent in Japan. Only pre-tax operating margins for our bottom-up Japan CHM have lagged those in other countries, languishing at 6% for the past three years. Yet Japanese corporate profits are at all-time highs, a logical outcome when companies can borrow at less than 50bps and earn a return on capital of 6%. That wide gap should allow Japanese companies to continue to earn steady, strong profits even with wage inflation finally showing life in Japan alongside a 2.3% unemployment rate. Japanese corporate bond spreads have widened a bit in 2018, but remain far more stable compared to corporates in other developed markets (Chart 15). The lack of spread volatility has allowed Japanese corporates to steadily outperform JGBs since 2011, even as all Japanese bond yields have collapsed. That trend is likely to continue, as the Bank of Japan (BoJ) is still a long way from being able to credibly pull off any upward adjustment of the current 0% BoJ yield target on 10-year JGBs. Chart 14Japan Bottom-Up CHM: Still Healthy,##BR##But Has Cyclical Improvement Peaked? Chart 15Japan Corporates:##BR##Stay Overweight vs JGBs Importantly, the BoJ recently introduced new forward guidance that states there will be no interest rate hikes until at least 2020. This will positively affect Japanese corporate health by keeping borrowing costs extremely low and preventing any unwanted strength in the yen that could damage Japanese competitiveness. There is a risk that increasing global trade tensions could impact the export-heavy Japanese economy and damage corporate profit growth and corporate bond performance. We do not yet see that as a major risk that could derail the Japanese economy and we continue to recommend an overweight stance on Japanese corporate debt vs JGBs. Canada Corporate Health Monitor: Faster Growth Hiding Structural Warts We introduced both top-down and bottom-up CHMs for Canada in our previous CHM Chartbook in April. As was the case then, both CHMs are in "improving health" territory (Chart 16). These CHMs are typically correlated to the price of oil, as befits Canada's status as a major energy exporter. Yet the strong CHMs also reflect the solid pace of overall Canadian economic growth. Looking at the individual components of the Canada CHMs, the leverage ratios for both measures have been steadily rising and currently sit above 100%. The return on capital has been in a structural downtrend, as is the case for most countries in our CHM universe (excluding Japan), but has ticked up alongside faster economic growth over the past couple of years. There was a noticeable drop in the margin ratio for the bottom-up CHM, coming entirely from the HY firms within our sample group of companies. Interest coverage and debt coverage ratios remain depressed, even with some improvement in corporate profits. This is partially due to rising interest rates as the Bank of Canada (BoC) has been tightening monetary policy - a trend that we expect to continue over the next 6-12 months. Canadian corporate bond spreads have widened slightly since the start of 2018, but remain tight relative to a longer-term history (Chart 17). Excess returns over Canadian government bonds have flattened out after enjoying a very solid period of outperformance in 2016-17. Looking ahead, there are balanced risks to the outlook for Canadian corporate debt. Chart 16Canada CHMs: Cyclically Improving,##BR##But Longer-Term Problems Are Building Chart 17Canadian Corporates:##BR##Stay Neutral Vs Canadian Government Debt We continue to expect the BoC to hike rates because of solid growth and faster inflation in Canada. Yet we do not see the BoC moving rapidly to a restrictive monetary stance that would damage growth expectations and trigger some credit spread widening. At the same time, we also see risks stemming from Canada-U.S. trade disagreements that could hurt Canadian growth and cause investors to demand cheaper valuations for Canadian corporate bonds. Adding it all up, a neutral stance on Canadian corporates versus government debt remains appropriate, largely as a carry trade. Robert Robis, Senior Vice President Global Fixed Income Strategy rrobis@bcaresearch.com Ray Park, Research Analyst ray@bcaresearch.com Appendix 1: An Overview Of The BCA Corporate Health Monitors The BCA Corporate Health Monitor (CHM) is a composite indicator designed to assess the underlying financial strength of the corporate sector for a country. The Monitor is an average of six financial ratios inspired by those used by credit rating agencies to evaluate individual companies. However, we calculate our ratios using top-down (national accounts) data for profits, interest expense, debt levels, etc. The idea is to treat the entire corporate sector as if it were one big company, and then look at the credit metrics that would be used to assign a credit rating to it. Importantly, only data for the non-financial corporate sector is used in the CHM, as the measures that would be used to measure the underlying health of banks and other financial firms are different than those for the typical company. The six ratios used in the CHM are shown in Table 1 below. To construct the CHM, the individual ratios are standardized, added together, and then shown as a deviation from the medium-term trend. That last part is important, as it introduces more cyclicality into the CHM and allows it to better capture major turning points in corporate well-being. Largely because of this construction, the CHM has a very good track record at heralding trend changes in corporate credit spreads (both for Investment Grade and High-Yield) over many cycles. Top-down CHMs are now available for the U.S., euro area, the U.K. and Canada. The CHM methodology was extended in 2016 to look at corporate health by industry and by credit quality.4 The financial data of a broad set of individual U.S. and euro area companies was used to construct individual "bottom-up" CHMs using the same procedure as the more familiar top-down CHM. Some of the ratios differ from those used in the top-down CHM (see Table 1), largely due to definitional differences in data presented in national income accounts versus those from actual individual company financial statements. The bottom-up CHMs analyze the health of individual sectors, and can be aggregated up into broad CHMs for Investment Grade and High-Yield groupings to compare with credit spreads. In 2018, we introduced bottom-up CHMs for Japan and Canada. Table 1Definitions Of Ratios That Go Into The CHMs With the country expansion of our CHM universe, we now have coverage for 92% of the Bloomberg Barclays Global Aggregate Corporate Bond Index (Appendix Chart 1). Appendix Chart 1We Now Have CHM Coverage For 92% Of The Developed Market Corporate Bond Universe 1 Please see BCA Global Fixed Income Weekly Report, "Time To Take Some Chips Off The Table; Downgrade Global Corporate Bond Exposure To Neutral", dated June 26 2018, available at gfis.bcaresearch.com. 2 Please see BCA Global Fixed Income Strategy Weekly Report, "An R-Star Is Born", dated August 7th 2018, available at gfis.bcaresearch.com. 3 Please see BCA Global Fixed Income Strategy Weekly Report, "Sticking With The Plan", dated March 13th 2018, available at gfis.bcaresearch.com. 4 Please see Section II of The Bank Credit Analyst, "U.S. Corporate Health Gets A Failing Grade", dated February 2016, available at bca.bcaresearch.com. Appendix 2: U.S. Bottom-Up CHMs For Selected Sectors Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns
Highlights Duration: The market is only priced for a fed funds rate of 2.83% by the end of 2019. This is well below the range of 3.25% to 3.5% that will prevail if the Fed sticks to its current 25 basis points per quarter rate hike pace. Maintain below-benchmark portfolio duration. The Neutral Rate: Our indicators of the neutral (or equilibrium) fed funds rate are sending conflicting signals. The economic data suggest that the neutral rate might be above 3%, but this is contradicted by weakness in the price of gold. TIPS: Long-dated TIPS breakeven inflation rates remain slightly below target levels, but appear to be increasingly taking their cues from the realized inflation data rather than swings in global growth and commodity prices. Remain overweight TIPS versus nominal Treasuries. Feature In February we published a report that outlined how we expect the cyclical bear market in bonds to evolve. Essentially, we view the bear market as consisting of two stages.1 The first stage is characterized by the re-anchoring of inflation expectations and the second stage deals with determining the neutral (or equilibrium) federal funds rate. In this week's report we track how the two-stage Treasury bear market has progressed since February and consider the implications for portfolio strategy. The First Stage Is Nearly Complete Long-maturity TIPS breakeven inflation rates are slightly higher than when we published our February report, but they are still not at levels we would consider "well anchored". We showed in our February report that prior periods when core inflation was close to the Fed's 2% target coincided with both the 10-year and 5-year/5-year forward TIPS breakeven inflation rates in a range between 2.3% and 2.5%. At present, the 10-year TIPS breakeven inflation rate is 2.10% and the 5-year/5-year forward is 2.19%. As long as TIPS breakeven inflation rates remain below the 2.3% - 2.5% target range, nominal Treasury yields have further cyclical upside due to the re-anchoring of inflation expectations. This re-anchoring will play out as the core inflation data are released and investors come to realize that inflation is no longer consistently undershooting the Fed's target. When that re-anchoring occurs and both the 10-year and 5-year/5-year forward breakevens cross above 2.3%, the first stage of the bond bear market will be complete. One recent development is that TIPS breakevens have risen even as commodity prices have declined (Chart 1). In fact, while breakevens are somewhat higher than when we published our February report, commodity prices - as measured by the CRB Raw Industrials index - are lower. While this shift in correlation is so far only tentative, it could signal that TIPS investors are increasingly influenced by the actual core inflation data and not swings in the global growth outlook. We would not be surprised to see this correlation continue to weaken going forward, especially considering that core inflation looks more and more consistent with the Fed's 2% target. Core CPI for July came in at 2.33% on both a trailing 12-month and 3-month basis, annualized (Chart 2). This is more or less consistent with the pre-crisis period when the Fed's preferred PCE inflation measure was close to the 2% target. Alternative measures of CPI send a similar message (Chart 2, panel 2) and our diffusion index shows that more individual items have accelerated in price than have decelerated in each of the past three months (Chart 2, bottom panel). Taken together, the signals point to further near-term price acceleration. Chart 1Inflation Date Sinking In Chart 2Inflation Picking Up Steam Digging deeper, we see that the outlook for higher inflation pervades each of the main components of core CPI (Chart 3). The reading from our shelter inflation model has stabilized, core goods inflation continues to track non-oil import prices higher, and the rebound in core services inflation is consistent with rising wage growth. Eventually, we would expect the strengthening dollar to exert a drag on import prices (Chart 4), but it will be some time before this is reflected in the CPI data. Another important development is that, after appearing to have turned a corner in 2016, the residential vacancy rate has dipped back down (Chart 4, bottom panel). Such a low vacancy rate will continue to support strong shelter inflation. Chart 3The Components Of Core CPI Chart 4A Headwind And A Tailwind For Inflation Bottom Line: Long-dated TIPS breakeven inflation rates remain slightly below target levels, but appear to be increasingly taking their cues from the realized inflation data rather than swings in global growth and commodity prices. Nominal Treasury yields have further upside at least until both the 10-year and 5-year/5-year forward TIPS breakeven inflation rates reach a range between 2.3% and 2.5%. We also continue to recommend an overweight position in TIPS relative to nominal Treasury securities. We will remove this recommendation when breakeven rates reach our target range and stage one of the bond bear market is complete. Stage 2 Update: Conflicting Evidence On The Neutral Rate Once inflation expectations are well-anchored at levels consistent with the Fed's target, the cyclical bond bear market will transition into its second stage. How much further Treasury yields rise during this stage will depend on how high the Fed is able to lift interest rates before the economy starts to slow. In other words, the cyclical peak in Treasury yields will be determined by the neutral (or equilibrium) fed funds rate - the level of interest rates where monetary policy is neither accommodative nor restrictive, and which is also consistent with stable inflation near the Fed's 2% target. Unfortunately, the neutral rate can only be known with certainty in hindsight. But in a recent report we presented three factors that investors can track in real time that have forewarned of the shift from accommodative to restrictive monetary policy in the past.2 We review the recent trends in each of these signals below. Signal 1: Nominal GDP Growth Vs The Fed Funds Rate Chart 5The Message From Nominal GDP Growth A fed funds rate that is above the year-over-year growth rate in nominal GDP is typically a signal (though often a lagging one) that monetary policy has turned restrictive (Chart 5). An intuition that is confirmed by the fact that the spread between nominal GDP growth and the fed funds rate correlates positively with the slope of the yield curve. But while the flattening yield curve has caused some to worry that the Fed is tightening too quickly, the message from nominal GDP growth is that monetary policy is actually becoming more accommodative (Chart 5, bottom panel). If the Fed continues to lift rates at its current pace of 25 basis points per quarter, the fed funds rate will be between 3.25% and 3.5% by the end of 2019. Nominal GDP would have to decelerate fairly substantially from its current 5.4% growth rate to signal restrictive monetary policy by then. Signal 2: Cyclical Spending Another indicator that has historically coincided with restrictive monetary policy and the cyclical peak in bond yields is when growth in the most interest-rate sensitive sectors of the economy (aka the cyclical sectors) slows as a proportion of overall growth (Chart 6). This is especially true for consumer spending on durable goods. Not only is it well below pre-crisis levels as a percent of GDP, but recent data revisions revealed that the personal savings rate is much higher than previously thought. The savings rate looks especially elevated relative to household wealth, which leaves room for spending to accelerate as it falls to more normal levels (Chart 7). Extremely high consumer confidence supports the view that the savings rate will decline (Chart 7, panel 2), and despite recent increases in interest rates and the price of gasoline, consumer spending on essentials is not yet excessive relative to income (Chart 7, bottom panel). Chart 6Signal 2: Cyclical Spending Chart 7The Outlook For Consumer Spending Cyclical spending - which includes consumer spending on durable goods, residential investment and nonresidential investment in equipment & software - is currently rising only slowly as a proportion of GDP, but it remains well below average historical levels. This suggests that further catch-up is likely. Much like consumer spending, residential investment also has a lot of room to play catch-up relative to pre-crisis levels (Chart 6, panel 3). However, growth in residential investment has waned in recent months (Chart 8). The slowdown is likely the result of the housing market coming to grips with higher mortgage rates. But while higher rates have definitely impaired affordability, housing remains quite cheap compared to history (Chart 8, panel 2). A further support for housing is that homebuilders are extraordinarily confident in the outlook (Chart 8, panel 3). This is for good reason. The outstanding housing supply is historically low and continues to contract relative to demand as increases in building permits fail to keep pace with household formation (Chart 8, bottom panel). Unlike consumer spending on durables and residential investment, nonresidential investment in equipment & software is roughly consistent with its average historical level as a proportion of GDP (Chart 6, bottom panel). But so far leading indicators are not pointing to a slowdown. On the contrary, surveys of new orders, capital expenditure plans and CEO confidence suggest that investment growth will stay strong for the next few quarters (Chart 9). At some point, given its higher level relative to GDP, investment could be the cyclical sector that first shows some evidence of weakness. But so far this is not the case. Chart 8The Outlook For Residential Investment Chart 9The Outlook For Non-Residential Investment Signal 3: Gold Chart 10Signal 3: Gold The final signal of restrictive monetary policy we consider is the price of gold. The widely accepted perception of gold as a long-run store of value makes it the ideal "anti-central bank" asset. In other words, gold tends to perform well when monetary policy is perceived to be turning more accommodative relative to its neutral level, and it tends to sell off when policy is perceived to be turning restrictive. Gold is also a useful addition to our suite of indicators because it is a price that is set in financial markets. Compared to our other two indicators which are based on economic data, financial market indicators can provide more of a leading signal. The trade-off, however, is that false signals are far more frequent. Most interestingly, we observe that fluctuations in the price of gold have preceded revisions to the Fed's estimate of the neutral fed funds rate in the post-crisis period (Chart 10). This seems entirely logical. The falling gold price in 2014/15 suggested that the market viewed Fed policy as becoming increasingly restrictive, but market expectations for the near-term path of rate hikes were roughly flat during this period (Chart 10, bottom panel). The only explanation is that investors were revising down their estimates of the neutral fed funds rate during this time, resulting in a de-facto policy tightening. Similarly, around the same time that gold put in a bottom in early 2016, neutral rate estimates from both investors and the Fed started to level-off around the 3% level, where they remain today. Going forward, the implication is that if gold were to break out of its trading range to the upside, it would send a strong signal that the Fed is perceived to be falling behind the curve. Such a price movement would make upward revisions to the neutral fed funds rate, and a higher cyclical peak in Treasury yields, more likely. Conversely, if gold continues its recent slide, it could signal that policy is turning restrictive more quickly than many expect. Bottom Line: Trends in our neutral rate indicators since February are sending conflicting signals. The economic data - nominal GDP growth and cyclical spending - have improved and suggest that we should think about a neutral fed funds rate above the current market consensus of 3%. On the other hand, the weakness in the price of gold suggests that investors view monetary policy as becoming increasingly restrictive. Investment Strategy How best to square these conflicting signals when formulating a portfolio strategy? For the time being we strongly advise investors to maintain below-benchmark duration on a cyclical (6-12 month) horizon. For one thing, the bond bear market remains in its first stage and the market is still not fully convinced that inflation will re-anchor itself around the Fed's 2% target. This alone argues for maintaining below-benchmark duration and an overweight allocation to TIPS versus nominal Treasuries, at least until long-dated TIPS breakevens reach our target range. Beyond that, while the true neutral fed funds rate remains uncertain, the market is only priced for a fed funds rate of 2.83% by the end of 2019. This is well below the range of 3.25% to 3.5% that will prevail if the Fed sticks to its current 25 basis points per quarter rate hike pace, and is consistent with a neutral rate that is well below 3% (Chart 11). Chart 11The Market Not Buying Into The Fed's Current Rate Hike Pace In other words, current market pricing tilts the risk/reward trade-off firmly in favor of below-benchmark duration, but we will keep a close eye on our neutral rate signals in the coming quarters to see if a more consistent message emerges. Stay tuned. Ryan Swift, Vice President U.S. Bond Strategy rswift@bcaresearch.com 1 Please see U.S. Bond Strategy Weekly Report, "The Two-Stage Bear Market In Bonds", dated February 20, 2018, available at usbs.bcaresearch.com 2 Please see U.S. Bond Strategy Weekly Report, "A Signal From Gold?", dated May 1, 2018, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification
特別レポート Highlights Valuation measures and technical indicators are widely followed market gauges, but neither set of metrics dependably warns of impending bear markets. Recessions might, however, as they almost always overlap with bear markets. A simple indicator using just three inputs - the yield curve, the index of leading economic indicators ("LEI") and the state of monetary policy - has correctly called all seven recessions of the last fifty years. Our recession indicator is timely as well as accurate. It turns red an average of six months ahead of a recession, aligning closely with the S&P 500's average cyclical peak. Our indicator is currently giving the all-clear signal, and we do not expect it will sound the alarm for at least another year. We do not foresee downgrading equities to underweight before then unless trade tensions take a turn for the worse, the S&P 500 rises parabolically, or the Fed moves its hiking timetable forward. Feature Investors who get the biggest macro questions right will generally find themselves on the right side of their performance benchmarks. The biggest question right now is how much longer the equity bull market will last. Trying to call a market top is folly, but "close enough" counts for recognizing the beginning of bear markets, and we are confident that our recession indicator gets close enough to provide a practical asset-allocation guide. While our indicator has moved closer to sounding the alarm over the last year, it is not yet signaling any immediate trouble.1 Can We Call Bear Markets? Neither we nor any other investor can consistently call market tops or bottoms with any degree of accuracy. The core problem is that doing so requires pinpointing the moment when a firmly established trend reverses for good - after all, a bear market begins the day a bull market concludes, and vice versa. As our colleague Martin Barnes has pointed out, there are no foolproof guides to identifying these inflection points in real time.2 The most popular rules of thumb - valuation measures, technical indicators and the calendar - are of no help at all in forecasting equity bear markets. Equities are surely more vulnerable when they trade at high multiples than when they trade at low multiples, but conventional valuation measures have been all over the map ahead of the eight bear markets that have occurred over the last 50 years (Box 1). The late-'80-to-early-'82 and 1990 bear markets occurred despite P/E, Shiller P/E and P/B multiples that were all comfortably below their long-run medians (Chart 1, second, third and fourth panels). The dot-com-bubble bear market occurred when every valuation metric was at an all-time high, to be sure, but our composite valuation indicator had spent three solid years in extremely overvalued territory (Chart 1, bottom panel) before the bear finally arrived. BOX 1 50 Years Of U.S. Equity Bear Markets For the purposes of this Special Report, we adhere to the classic definition of a bear market - a peak-to-trough closing price decline of at least 20% - and we confine our analysis to the last 50 years. The result is eight bear markets, as shown in Table 1 (we round the 1990 bear up to 20% from 19.9% but leave out the 1998 and 2011 corrections of 19.3% and 19.4%, respectively). Chart 3 shows the S&P 500, in log scale, with NBER-defined recessions shaded in gray and bear markets shaded in light red. The shaded chart brings two key observations to the fore: recessions and bear markets nearly always travel together (gray and light red only failed to overlap in the opening leg of the double-dip Volcker recessions and 1987's Black Monday), and bull markets (the white space in the chart) are more or less the S&P 500's default condition. The bear markets can be nasty, however, and a process that could help a manager sidestep even a portion of their declines could lead to significant outperformance over time. Technical indicators don't provide consistently reliable advance signals, either. Nearly all of the most overheated technical environments of the last 50 years (Chart 2, bottom panel) worked themselves off without tipping into full-fledged bear-market declines. Our composite technical indicator looks much more like a coincident indicator than a leading one. The calendar is of no help at all; since 1968, bull markets have lasted anywhere from two to nine years, and the current one, within two weeks and a percentage point of becoming the longest of the postwar era, may make it to ten. Chart 1Valuation Is A Poor Guide To Bear Markets ... Chart 2... And Technicals Aren't Much Better Table 1U.S. Equity Bear Markets, 1968 -2018 Chart 350 Years Of Recessions And Bear Markets Can We Call Recessions? Given the mingling of gray and red in Chart 3, a reliable recession indicator would be nearly as good as an equity bear market indicator. As noted above, only one recession (January to July 1980) passed without an accompanying bear market. Only the fall 1987 bear market occurred outside of a recession, though the two 19% corrections over our sample period also occurred ex-recessions. We submit that these three declines, accompanied by Black Monday's 20% one-day crash, the Russian crisis and the implosion of Long-Term Capital Management, and the U.S. debt-ceiling showdown and the euro crisis, were sparked by exogenous events that nearly defied prediction. Economists have a deservedly poor reputation for foretelling recessions. As the late economist John Kenneth Galbraith put it, "The only function of economic forecasting is to make astrology look respectable." Perhaps the Ph.Ds have overcomplicated matters by trying to pack too many variables into convoluted models. We have found that just three simple measures, in combination, have called all of the recessions in our 50-year sample without a single false positive. Our Recession Indicators Our first recession indicator is the orientation of the yield curve, defined as the sign of the difference between the 10-year Treasury bond yield and the 3-month T-bill rate.3 When the 3-month's rate exceeds the 10-year's yield, the curve is inverted and a recession typically follows. In our 50-year sample period, the yield curve has successfully called all seven recessions with just one false positive (Chart 4). As a standalone indicator, however, it tends to be overly eager, prematurely signaling the onset of a recession by an average of nearly twelve months (Table 2). Chart 4The Yield Curve Has Called 8 Of The Last 7 Recessions... Table 2Inverted Yield Curves, 1968 - 2018 Our second recession indicator is the sign of the year-over-year change in the index of the leading economic indicators ("LEI"). When the LEI contracts on a year-over-year basis, a recession typically ensues. As with the inverted yield curve, year-over-year contractions in the LEI have successfully called all of the recessions in our sample with just one false positive (Chart 5). The LEI signal tends to flip to red in a more timely fashion than the perpetually early yield curve, leading recessions by an average of six-plus months (Table 3). Chart 5...And So Have Leading Economic Indicators Table 3LEI Contractions, 1968 - 2018 The false positives go away once we combine the yield curve and the LEI into a single signal. To confirm that signal and make it more robust, we also consider the monetary policy backdrop. Over the nearly 60 years for which BCA's model calculates an estimate of the equilibrium fed funds rate, every recession has occurred when the fed funds rate has exceeded our estimate of equilibrium (Chart 6). In other words, recessions only occur when monetary policy settings are restrictive. In this case, the old market wisdom really is wise: expansions don't die of old age, they die because the Fed murders them. Chart 6Tight Policy Is A Necessary, But Not Sufficient, Recession Ingredient From Recession Indicator To Portfolio Strategy Tool Relative asset-class performance in previous bear markets, as detailed in the initial version of this study, published last summer by our Global ETF Strategy service,4 clearly argues for portfolio de-risking ahead of a recession. Investors would have benefited handsomely from overweighting bonds and cash at the expense of equities, overweighting countercyclical stocks and underweighting cyclicals, and overweighting Treasuries while underweighting high-yield corporates. Timing those defensive shifts is hardly clear-cut, however. The lead times between yield curve inversion, LEI contraction, the onset of restrictive monetary policy and the beginning of a recession vary from cycle to cycle. Fortunately for investors, waiting until all of the indicator components are in agreement dampens much of the variability in lead times. As Table 4 shows, the LEI signal is much less hasty than either the yield curve or the policy signals. It typically is the last component to flip, guiding the composite indicator to issue its recession signal just one week ahead of the S&P 500's average pre-recession peak. Sample averages mask in-sample variability, and the composite indicator does not march in lockstep with the S&P 500, but it is timely enough to have managed to catch about three-fourths of every bear market that coincided with a recession (Table 5). Table 4Lead Times For Indicator Components And Bear Markets Table 5Share Of Bear Markets Captured By Recession Indicator Why Bother? Some of our colleagues, duly noting forecasting's inherent difficulties, argue that there's little to be gained from attempting to narrow down the potential range of bear-market start dates. Fearful of the consequences of flying too close to the sun, they suggest that investors de-risk when enough common-sense-defying signs of a peak accumulate, and not worry about leaving some performance on the table. Such an approach has the benefits of being flexible and intuitive, but is difficult to apply consistently. Even proponents of former Supreme Court Justice Potter Stewart's legendary I-know-it-when-I-see-it obscenity standard have to concede that its parameters are arbitrary. It is also a concern that licking one's finger and holding it aloft is likely to put one squarely in the midst of the herd. The practicality of Justice Stewart's standard hinges on broad agreement: only if the distribution of opinions within the consensus is very narrow will a good deal of the community be satisfied with decisions based on it. Comity is the enemy of alpha, however, and an investor whose common sense is too common will wind up exiting the market too early and getting back into it too late, underperforming on both sides of the inflection point. The empirical record suggests that there's much to be lost from leaving too early. Bull markets tend to end with a bang, not a whimper (Chart 7 and Table 6). It is unlikely that investors who are willing to forego some returns in the name of security on the way up have the temperament to get back in at the beginning stages of the next rally. Factor in our view that public-market returns will be thin gruel over the next five to ten years compared to what investors have enjoyed since 1982, and one can make a case for trying to capture as much of the current bull market's gains as possible. Chart 7Sprinting To The Finish Line Table 6Finishing In Style Investment Implications Our composite recession indicator has done an excellent job of flagging recessions in advance. As recessions and equity bear markets are such steadfast companions, the composite recession indicator holds considerable promise as a tool to help investors capture a greater share of bull-market gains while helping them skirt some bear-market losses. Given a flattening but still positively-sloped yield curve, booming year-on-year growth in the LEI, and a policy rate that looks to be at least a year from becoming restrictive, we see no recession on the horizon. Unless trade negotiations fall apart, the S&P 500 melts up, or the Fed's rate-hiking guidance gets much more aggressive, we do not expect that investors will have cause to put their recession/bear market game plan into place for at least another year. Doug Peta, Senior Vice President U.S. Investment Strategy dougp@bcaresearch.com 1 This Special Report is adapted from the August 16, 2017 Global ETF Strategy Special Report, "A Guide To Spotting And Weathering Bear Markets," available at etf.bcaresearch.com. 2 Please see BCA Research Special Reports, "Timing The Next Equity Bear Market," and "Timing Equity Bear Markets," published January 24, 2014 and April 6, 2011, respectively, available at www.bcaresearch.com. 3 We use the 3-month/10-year segment instead of the more common 2-year/10-year because the 3-month bill is a cleaner proxy for short rates than the 2-year note, which incorporates estimates of the Fed's future actions. 2s/10s also fail to measure up empirically, inverting even earlier than the habitually premature 3-month/10-year. 4 August 16, 2017 Global ETF Strategy Special Report, "A Guide To Spotting And Weathering Bear Markets."
Feature GAA DM Equity Country Allocation Model Update The GAA DM Equity Country Allocation model is updated as of July 31, 2018. The quant model lifted its U.S. allocation to be in line with the benchmark weight at the expense of Spain. No major changes in other country weights, as shown in Table 1. Table 1Model Allocation Vs. Benchmark Weights As shown in Table 2 and Charts 1, 2 and 3, the overall model outperformed its benchmark by 59 bps in July, largely driven by Level 2 model which outperformed its benchmark by 146 bps. Level 1 model slightly unperformed its MSCI world benchmark by 5 bps in July. Since going live, the overall model has outperformed its benchmarks by 132 bps, driven by the Level 2 outperformance of 375 bps offset by the 2 bps of Level 1 underperformance. Table 2Performance (Total Returns In USD %) Chart 1GAA DM Model Vs. MSCI World Chart 2GAA U.S. Vs. Non U.S. Model (Level 1) Chart 3GAA Non U.S. Model (Level 2) Please see also the website http://gaa.bcaresearch.com/trades/allocation_performance. For more details on the models, please see Special Report, "Global Equity Allocation: Introducing The Developed Markets Country Allocation Model," dated January 29, 2016, available at https://gaa.bcaresearch.com. Please note that the overall country and sector recommendations published in our Monthly Portfolio Update and Quarterly Portfolio Outlook use the results of these quantitative models as one input, but do not stick slavishly to them. We believe that models are a useful check, but structural changes and unquantifiable factors need to be considered too in making overall recommendations. GAA Equity Sector Selection Model The GAA Equity Sector Selection Mode (Chart 4) is updated as of July 31, 2018. Following the developments on the trade front and increasing worries of a growth slowdown, the model continues to maintain a defensive bias with an aggregate overweight of 5.8% relative to cyclical sectors. The relative tilts within cyclicals and defensives remain the same as the previous month. However, both discretionary and financials are going through unfavorable technical and momentum indicators. Energy remains the only resource based sector with an overweight, primarily driven by attractive long-term valuations. Chart 4Overall Model Performance Table 3Allocations Table 4Performance Since Going Live For more details on the model, please see the Special Report "Introducing The GAA Equity Sector Selection Model," dated July 27, 2016, available at https://gaa.bcaresearch.com. Xiaoli Tang, Associate Vice President xiaoliT@bcaresearch.com Aditya Kurian, Senior Analyst adityak@bcaresearch.com
特別レポート The Golden Rule: During the next 12 months, will the Federal Reserve move interest rates by more or less than what is currently priced into the market? In this report we demonstrate that an investor who can correctly answer that question will very likely make the right bond market call. We call this framework for market analysis the golden rule of bond investing. Exceptions: We identify a few periods when applying the golden rule correctly would not have led to the right market call. Such periods are rare, but they tend to occur when the market "fights the Fed". One such episode occurred as recently as 2017. Total Return Forecasts: We use the golden rule framework to generate total return forecasts for Treasury indexes of all different maturities and many different spread product indexes. It's easy to get lost in the sea of financial market news. Last week alone saw the suggestion of additional tariffs, weak housing data, strong consumer data, falling commodity prices and steep Chinese currency depreciation. It's not always obvious what's important for bond markets and what isn't. While there is no miracle solution to this problem, we propose one helpful question that investors should always ask themselves to help discern the signal from the noise. During the next 12 months, will the Federal Reserve move interest rates by more or less than what is currently priced into the market? If you are able to answer that question correctly you will make the correct bond market call most of the time, and any new piece of information should be judged on how it impacts your answer. In fact, the framework of viewing everything through the lens of answering the above question works so well that we call it the golden rule of bond investing. In this Special Report we illustrate the empirical success of the golden rule. We also draw on historical evidence to consider periods when the rule failed. Finally, we translate the golden rule into a method for forecasting total returns, and we generate total return forecasts for many different bond indexes, encompassing both Treasuries and spread product. Testing The Golden Rule's Performance Chart 1 on page 1 shows how well the golden rule has worked during the past 28 years. The top panel shows the 12-month fed funds rate surprise - the difference between the expected change in the fed funds rate that was priced into the market at the beginning of the 12-month investment horizon and the change in the fed funds rate that was ultimately delivered. A reading above zero indicates that the market expected a larger increase (or smaller decrease) than actually occurred, a reading below zero indicates that the market expected a smaller increase (or larger decrease) than actually occurred. The bottom panel shows 12-month excess returns from the Bloomberg Barclays Treasury Master Index relative to a position in cash. Chart 1The Golden Rule's Track Record If the golden rule works, then dovish fed funds rate surprises (positive values in Chart 1, shown shaded) will coincide with positive Treasury excess returns, and vice-versa. Chart 1 shows that this has indeed generally been the case. Digging a little deeper, we find a strong positive relationship between 12-month Treasury excess returns and the 12-month fed funds rate surprise (Chart 2) and a similarly strong relationship using Treasury index price return instead of the excess return versus cash (Chart 3). Dovish fed funds rate surprises coincide with positive 12-month Treasury excess returns 87% of the time for an average excess return of +3.9%. They also coincide with positive Treasury price returns 76% of the time for an average price return of +2.1%. Hawkish surprises coincide with negative 12-month Treasury excess returns 61% of the time for an average excess return of -0.3%. They also coincide with negative Treasury price returns 72% of the time for an average price return of -1.9% (Table 1). Chart 2Treasury Index Excess Return & ##br##Fed Funds Rate Surprises (1990 - Present) Chart 3Treasury Index Price Return & ##br##Fed Funds Rate Surprises (1990 - Present) Table 112-Month Treasury Index Returns And Fed Funds Rate Surprises (1990 - Present) Total Treasury returns also factor in coupon income, and are therefore often positive even when the price return is negative. Still, Table 1 shows that Treasury index total returns average +7.1% in periods with a dovish fed funds rate surprise and only +3.4% in periods with a hawkish surprise. Further, 65% of negative total return periods occurred when there was a hawkish fed funds rate surprise. Of course, the golden rule is no panacea. The results presented above are impressive, but they assume that investors are able to correctly predict whether the market is over- or under-pricing the Fed. Making that determination remains a tall order. The key insight to be gleaned from the golden rule is that if a piece of information does not alter your opinion about the future path of the fed funds rate relative to expectations, then it should probably be ignored. The golden rule is certainly not the "be all and end all", but it is a very useful first step. Learning From Failures While Table 1 shows that correctly determining the 12-month fed funds rate surprise allows us to make the correct bond market call most of the time, it also shows that it doesn't always work. To understand why the golden rule might fail, it is useful to think about why it works in the first place. To do this, let's first consider that any Treasury yield can be thought of as consisting of three components: Treasury Yield = Fed Funds Rate + Expectations For Future Change In The Fed Funds Rate + Term Premium Based on this formula, it is obvious that if rate expectations and the term premium are held constant, a higher fed funds rate translates directly into a higher Treasury yield, and vice-versa. This is one reason why the fed funds rate surprise correlates with Treasury returns. The second reason that the fed funds rate surprise correlates with Treasury returns is that the expectations component of the above formula also tracks the fed funds rate surprise. In other words, investors are more likely to revise their rate expectations higher when the Fed is already in the process of delivering hawkish surprises. They are also more likely to revise their rate expectations lower when the Fed is delivering dovish surprises. This dynamic is illustrated in Chart 4. The top panel shows the correlation between the 12-month fed funds rate surprise and changes in rate expectations as measured by our 12-month fed funds discounter. The two lines are mostly positively correlated, though they do occasionally diverge. The largest divergences appear near inflection points in monetary policy - e.g. when the Fed switches from hiking rates to cutting. Such inflection points are often prompted by economic recession. Chart 4When The Golden Rule Doesn't Work The bottom panel of Chart 4 shows the much tighter correlation between the 12-month fed funds rate surprise and the change in the average yield on the Treasury Master index. These two lines also occasionally diverge, but only during periods when rate expectations move strongly in the opposite direction of what is suggested by the rate hike surprise. Crucially, the abnormal change in rate expectations has to be so large that it more than offsets the impact from the change in the fed funds rate itself. Such periods are rare, though we did experience one as recently as last year. Chart 5The 2017 Example The 2017 Episode Treasury returns in 2017 provide a textbook example of one of the rare periods when the golden rule failed. The Treasury Master Index returned +1.5% in excess of cash, even though the Fed lifted rates 25 bps more than the market expected at the beginning of the year. The reason for the divergence is that even though the Fed was in the process of lifting rates by more than what the market anticipated, the market continued to doubt the Fed's resolve and revised its expectations lower. At the beginning of 2017 the market was priced for 51 bps of rate hikes for the year. Then, just as the Fed started to lift rates more quickly than that expectation would suggest, core inflation plunged (Chart 5). The market started to price-in that the Fed would react to falling inflation by turning more dovish, but as it revised its expectations lower the Fed continued to hike. The end result is that the impact of the downward revision to rate hike expectations more than offset the upward pressure on yields from Fed rate hikes, and the Treasury index outperformed cash for the year. Forecasting Total Returns One final application of the golden rule is that it can be used as a framework for generating total return forecasts for different bond indexes. To illustrate how this is achieved we will walk through how we calculate such a forecast for the Treasury Master Index. First, we note that the current reading from our 12-month fed funds discounter is 79 bps. This means that the market expects 79 bps of Fed rate hikes during the next 12 months. If we assume that the Fed will lift rates by 100 bps during the next 12 months, then we have a hawkish fed funds rate surprise of 21 bps. As an aside, Chart 6 shows that we have consistently witnessed hawkish fed funds rate surprises since mid-2017, and our 12-month discounter has increased, as is typically the case. But this also means that the bar for further hawkish rate surprises is now much higher. Chart 6Market Has Underestimated ##br##The Fed In Recent Years We already demonstrated the strong correlation between the 12-month fed funds rate surprise and the 12-month change in the average yield from the Treasury index (see Chart 4). This allows us to translate our assumed fed funds rate surprise into an expected change in the index yield. In this case, that expected change in yield is +19 bps. With an expected yield change in hand, it is relatively simple to calculate an expected total return using the index's yield, duration and convexity: Expected Total Return = Yield - (Duration*Expected Change In Yield) + 0.5*Convexity*E(ΔY2) E(ΔY2) = 1-year trailing estimate of yield volatility In our scenario where we assume the Fed lifts rates by 100 bps during the next 12 months, the above formula spits out an expected total return of +1.60% for the Treasury Master Index. Table 2 shows total return forecasts using this same method but with many different rate hike assumptions. For example, if we assume only 50 bps of Fed rate hikes during the next 12 months we get an expected Treasury Index total return of +3.37%. Table 2 also displays total return forecasts for different maturity buckets within the Treasury Master index. These forecasts are all generated using the same method, but we correlate the 12-month fed funds rate surprise with different Treasury yields in each case. One caveat here is that the correlation between the fed funds rate surprise and the change in Treasury yield declines as we move into longer maturities (Appendix A). This is because long-dated yields are less directly connected to near-term changes in the fed funds rate. As such, there is more uncertainty surrounding the total return forecasts for long maturity sectors. Table 2Treasury Index Total Return Forecasts Spread Product Total Return Forecasts With one additional assumption we can also apply our return forecasting method to different spread product indexes. That additional assumption is for the expected change in the average index spread. Using Table 3, you can simply pick a column based on the number of Fed rate hikes you expect during the next 12 months and pick a row based on whether you think spreads will remain flat, widen or tighten. Table 3Spread Product Total Return Forecasts For example, if the Fed lifts rates by 100 bps during the next 12 months and investment grade corporate bond spreads stay flat, we would expect investment grade corporate bond index total returns of +2.9%. For each sector, the spread widening scenario assumes that the average index spread widens to its highest level since the beginning of 2016 and the spread tightening scenario assumes the average index spread tightens to its lowest level since the beginning of 2016. All the spread scenarios are depicted graphically in Appendix B. For the High-Yield sector we make the additional adjustment of subtracting expected 12-month default losses from the average index yield. Ryan Swift, Vice President U.S. Bond Strategy rswift@bcaresearch.com Appendix A Chart 7Change In 1-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 8Change In 2-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 9Change In 3-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 10Change In 5-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 11Change In 7-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 12Change In 10-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Chart 13Change In 30-Year Yield Vs. 12-Month ##br##Fed Funds Rate Surprise Appendix B Chart 14Corporate Bond Spread Scenarios Chart 15Government-Related Spread Scenarios Chart 16Structured Product Spread Scenarios
With a number of our sentiment indicators breaking out (all panels), we took the opportunity to refresh our cyclical indicators in this week's Cyclical Indicator Update. Some highlights are our S&P industrials and our S&P financials cyclical indicators which are pushing to new highs despite headwinds from a rising U.S. dollar and a flattening yield curve, respectively, underscoring our overweight recommendations for both sectors. On the negative front, our S&P real estate indicator has maintained its three-year slide and remains very near all-time lows; we reiterate our underweight recommendation in that sector. Please see this week's Cyclical Indicator Update for more details.
Please note that our next publication will be a joint special report with BCA’s Geopolitical Service that will be published on Wednesday, August 1st instead of our usual Monday publishing schedule. Further, there will be no publication on Monday, August 6th. We will be returning to our normal publishing schedule thereafter. Highlights We continue to explore a cyclical over defensive portfolio bent, and the capex upcycle along with higher interest rates are our key investment themes for the remainder of the year. A number of sentiment indicators have broken out (Chart 1), and our sense is that the SPX will also hit fresh all-time highs in the coming quarters. While buybacks vaulted to uncharted territory in Q1/2018 (Chart 2), our profit growth model suggests that EPS will continue to expand at a healthy clip for the rest of the year (Chart 3) and 10% EPS growth is achievable in calendar 2019. Positive macro forces remain in place with the ISM - manufacturing and non-manufacturing - surveys reaccelerating. Beneath the surface, the new-orders-to-inventories ratio is gaining traction and even the trade-related subcomponents (new export orders and imports) are ticking higher. High backlogs also suggest that SPX revenue growth will remain upbeat (Chart 4). Non-farm payrolls are expanding on a month-over-month basis for 93 consecutive months, a record (Chart 5), at a time when the real fed funds rate remains near the zero line (Chart 6). As a result, the economy is overheating. Corporate selling price inflation is skyrocketing, according to our gauge, with our diffusion index catapulting to multi-decade highs. This represents a positive margin backdrop as wage inflation remains muted (Chart 7). While at first sight, valuations appear dear, a simple thought experiment suggests that soon they will deflate1 (Chart 8). And, on a forward price-to-earnings-to-growth (PEG) basis, valuations have sunk to one standard deviation below the historical mean (Chart 9). Two key risks that we are closely monitoring that can put our cyclically positive equity market view offside are: a sustained rise in the U.S. dollar infiltrating profit growth (Chart 10), and corporate balance sheet degradation short-circuiting the broad equity market (Chart 11). Chart 1Sentiment Is Breaking Out Chart 2Buybacks Are Soaring Chart 3Earnings Growth Hasnt Slowed... Chart 4...And Backlogs Suggest They Wont Chart 5Record Jobs Growth... Chart 6...And Still-Loose Monetary Policy Chart 7Wage Growth Is Trailing Chart 8The Market Is Not That Expensive... Chart 9...By Several Measures Chart 10A Strong Dollar Is A Risk Chart 11Corporate Sector Leverage Is Too High Feature S&P Industrials (Overweight) While our industrials CMI remains very near 20-year highs, it has lost its upward momentum this year due almost entirely to the strength of the U.S. dollar, though sliding global PMI surveys have also started to weigh (second panel, Chart 13). Combined with heightened fears of a trade war, the internationally geared S&P industrials have come under pressure. Chart 12S&P Industrials (Overweight) Chart 13Positive Industrial Growth Backdrop Still, demand growth has been resilient and continues to soar as the capex upcycle has not yet run its course and the implications for top line and profit growth are unambiguously positive (third and bottom panels, Chart 13). Should some let up emerge from the current break down of international trade, we would expect earnings to resume their role as the fundamental driver for industrials. Our valuation gauge has rapidly declined this year as extreme bearishness is not reflected by the strong profit backdrop. From a technical perspective, S&P industrials have been the most oversold since the Great Recession. S&P Energy (Overweight, High-Conviction) Our energy CMI has continued to push higher from the extremely depressed levels of 2016 and 2017. Still, the much better cyclical environment has started to get reflected in relative share prices with the S&P energy index besting all other GICS1 sectors in Q2. We recently refined our energy sector sub-surface positioning that sustains the broad energy complex in the overweight column, and we reiterated its high-conviction status. We believe the steep recovery in underlying commodity prices, which the market has thus far failed to show much confidence in, has started to restore some semblance of normality in the exploration & production (E&P) stocks space (top panel, Chart 15). Chart 14S&P Energy (Overweight, High Conviction) Chart 15A Capex Boom As Oil Reignites Similar to the broad energy complex that integrateds dominate, oil & gas E&P producers are a capital expenditure upcycle play, which remains a key BCA theme for the year (second panel, Chart 15). Accordingly, we raised the S&P oil & gas E&P index to an overweight stance. Simultaneously, weakening crack spreads (third panel, Chart 15) and rising gasoline inventories (bottom panel, Chart 15) have given us cause for concern for refiners. As a result, we trimmed the S&P oil & gas refining & marketing index to underweight, though this did not shake our high-conviction overweight position on the broad S&P energy index. Our Valuation Indicator (VI) remains near deeply undervalued territory, and indicates an attractive entry point for fresh capital. Our Technical Indicator (TI) has fully recovered from oversold levels and now sends a neutral message. S&P Financials (Overweight) The pace of improvement in our financials cyclical macro indicator (CMI) has not abated. However, the usual tight correlation between the CMI and the relative performance of the S&P financials index has broken down. An important culprit has been the heavyweight S&P banks sub-index and its transition from a correlation with the 10-year UST yield and toward the 10/2 yield curve slope earlier this year (top and second panels, Chart 17). While the former is still up year-over-year, the latter has continued to flatten and the result is likely a squeeze on banks' net interest margins, a key profit driver; we recently booked gains of 6% and removed it from the high-conviction overweight list, and the S&P banks index is currently on downgrade watch. Chart 16S&P Financials (Overweight) Chart 17Growth And Credit Quality Offset A Flat Yield Curve Still, our key three reasons for being overweight the S&P financials index remain unchanged. Rising yields and the accompanying higher price of credit are a boon to financials and a core BCA theme for 2018 remains higher interest rates. The global capex upcycle, another of BCA's key themes for 2018, has paused for breath, though it has been replaced by soaring U.S. demand. This exceptional willingness of U.S. CEOs to expand their balance sheets should mean capital formation will proceed at well above-trend pace, and further underpin C&I loan growth (third panel, Chart 17). Lastly, a low unemployment rate drives both expanding consumer credit and much better credit quality. At present, the unemployment rate is testing all-time lows, sending an unambiguously positive message for financials profitability (bottom panel, Chart 17). Market bearishness has more than offset the positive fundamentals and the S&P financials index has underperformed in 2018; the result has been a steep fall in our VI to nearly one standard deviation below normal. The bearishness is also reflected in our TI which has recently collapsed into oversold territory. S&P Consumer Staples (Overweight) Our consumer staples CMI has moved sideways since our last update, near a depressed level. This is reflected in the share price performance; defensives in general and staples in particular have been woefully unloved this year. However, we believe positive macro undercurrents have made bargain basement prices in consumer staples an exceptional deal, particularly for investors willing to withstand short term volatility for a long-term investment gain. We recently pointed out that, while non-discretionary demand is losing share versus overall outlays, spending on essentials as a percentage of disposable income is gaining steam. The bearish read on this would be that this could be a pre-cursor to recession, but our interpretation is that latent staples-related buying power may make a comeback from a still very depressed level and kick-start industry sales growth (top panel, Chart 19). Chart 18S&P Consumer Staples (Overweight) Chart 19Staples Are Poised For A Recovery Meanwhile consumer staples exports are flying in the face of a rising U.S. dollar, which has typically presaged relative earnings gains (second panel, Chart 19). Considering the already-strong industry return on equity, any relative earnings gains should result in a valuation rerating (third panel, Chart 19). Both our VI and TI concur; as they are both more than a standard deviation below fair value. S&P Health Care (Neutral) Earlier this month, we lifted the S&P pharma and biotech indexes to neutral and, given that these sectors command roughly a 50% weighting in the S&P health care sector, these upgrades also lifted the health care sector to a neutral portfolio weighting. Sentiment has moved squarely against the sector and the bar for upward surprises has been lowered enough to create fertile ground for upside surprises. As shown in the second panel of Chart 21, health care long-term EPS growth expectations have never been lower in the history of the I/B/E/S/ data. This is contrarily positive, particularly given how our VI has remained under pressure and our TI has sunk. Chart 20S&P Health Care (Neutral) Chart 21Peak Pessimism In Health Care Still, our health care CMI has been treading water at relatively low levels, but our S&P health care earnings model suggests that at least a bottom in profit growth has formed (bottom panel, Chart 21). S&P Technology (Neutral) We lifted the S&P technology index to neutral earlier this year to capitalize on one of BCA's key themes for 2018: synchronized global capex upcycle, of which the broad tech sector is a core beneficiary (second panel, Chart 23).2 Software and tech hardware & peripherals are the two key sub-indexes we prefer and have also put on our high-conviction overweight list. Chart 22S&P Technology (Neutral) Chart 23A Capex Upcycle Should Sustain High Valuations There is still pent up demand for tech spending that is being unleashed following over a decade of severe underinvestment. In addition, consumer spending on tech goods is also at the highest level since the history of the data, underscoring that end demand is upbeat (third panel, Chart 23). On the global demand front, EM Asian exports are climbing at the fastest clip in ten years; tech sales and EM Asian exports are historically joined at the hip and the current message is positive (bottom panel, Chart 23). The technology CMI has also turned positive this year after falling for the previous three, though an appreciating dollar and higher interest rates continue to suppress an otherwise exceptionally robust macro environment. Valuations, while still in the neutral zone, have reached their highest level in a decade. This may prove risky should inflation mount faster than expected; a de-rating phase in technology would likely follow. Our TI is in overbought territory, though it has been at this high level for several years. S&P Utilities (Neutral) Our utilities CMI appears to have found a bottom, arresting the linear downtrend of the previous decade. Declining earnings have steadied out as the industry has found some discipline; new investment has declined and turbine & generator inventories have ticked up (second panel, Chart 25). The result of declining investment has been a slight improvement in capacity utilization, albeit still at a relatively low level (third panel, Chart 25). Chart 24S&P Utilities (Neutral) Chart 25Earnings Are Looking For A Bottom The uptick in capacity utilization has driven a surge in industry pricing power, despite flat natural gas prices which have historically been the industry price setter; this could be the precursor to a recovery in sector earnings (bottom panel, Chart 25). Still, as with other defensive sectors, utilities have underperformed cyclical sectors in the last year; this has been exacerbated by utilities trading as fixed income proxies. Our VI does not provide much direction as it has been in the neutral zone for the past year, underscoring our benchmark allocation recommendation. Our TI fell steeply earlier this year, though it has recovered and offers a neutral reading. S&P Materials (Neutral) The materials CMI has come under pressure as the Fed has continued to tighten monetary policy. A further selloff in bonds remains the BCA view for 2018, implying rising real rates will weigh on the sector for at least the remainder of the year. The heavyweight chemicals component of the materials index typically sees earnings (and hence stock prices) underperform as real interest rates are moving higher (real rates shown inverted, top panel, Chart 27). Chart 26S&P Materials (Neutral) Chart 27This Time Is Different For Chemicals On the operating front, chemicals sector productivity has made solid gains over the past year and the sell-side bearishness for much of the past decade has finally reversed (second panel, Chart 27). Further, overcapacity, the usual death knell of the chemicals cycle, seems to be a thing of the past as the industry has massively scaled back on capital deployment on the heels of a mega global M&A cycle (third panel, Chart 27). Net, operating improvements might offset macro headwinds. Our VI echoes this neutral message and sits on the fair value line. Our TI is somewhat more bullish and is edging toward an oversold position. S&P Real Estate (Underweight) Our real estate CMI looks to have found a bottom earlier this year, though the only time it has been worse was during the Great Financial Crisis. Real estate stocks are continuing to behave like fixed income proxies, as they have since the overhang from the GFC gave way to a yield focus (top panel, Chart 29). In the context of a tightening monetary backdrop, we would need compelling operating or valuation reasons to maintain even a benchmark allocation in the sector; these are both absent. Chart 28S&P Real Estate (Underweight) Chart 29Dark Clouds Forming On the operating front, the commercial real estate (CRE) sector is waving a red flag. The occupancy rate has clearly crested and rents are headed down with it, warning of declining sector cash flows (second panel, Chart 29). While CRE credit quality shows no signs of deterioration, at this stage of the cycle and given weak industry profit fundamentals we would caution against extrapolating such good times far into the future (third panel, Chart 29). We recently initiated a trade to capitalize on relative CRE weakness by going long the S&P homebuilding index/short the S&P REITs index.3 Such overwhelming bearishness would suggest the sector would be relatively cheap, but our VI suggests that REITs are fairly valued. Our TI is has been unwinding an oversold position and is now in neutral territory. S&P Consumer Discretionary (Underweight) In early March, we identified three key factors that we expected to weigh on the consumer discretionary sector: a rising fed funds rate, quantitative tightening and higher prices at the pump. As highlighted in Chart 31, all of these factors remain intact and underlie the two-year decline in the consumer discretionary CMI. Chart 30S&P Consumer Discretionary (Underweight) Chart 31The Amazon Effect Further, were we to exclude AMZN from the day the S&P included it in the SPX and the S&P 500 consumer discretionary index (November 21st, 2005), then the vast majority of consumer discretionary stocks are actually following the typical historical relationship with the Fed's tightening cycle (fed funds rates shown inverted, top panel, Chart 31). Put differently, the equal weighted S&P consumer discretionary relative share price ratio is indeed following the Fed's historical tightening path (bottom panel, Chart 31). Meanwhile, our VI has broken out to nearly its highest level ever which we believe is largely a function of the decreasing diversification of the S&P consumer discretionary index as AMZN now represents nearly a quarter of its market value, and about to get even larger in the upcoming introduction of the Communications Services GICS1 sector, but only comprises 3% of this sector's net income. Our TI agrees with our VI and is well into overbought territory. S&P Telecommunication Services (Underweight) Our telecom services CMI, bounced off its 30-year low earlier this year, but not nearly enough for a bullish position to be established. Rather, our bearish thesis remains unchanged: A combination of still-tepid pricing power weighing on earnings (second panel, Chart 33), weak consumer spending (bottom panel, Chart 33) and higher Treasury yields (which are negatively correlated with high-dividend yielding telecom services stocks, top panel, Chart 33), should all keep relative performance suppressed. Chart 32S&P Telecommunication Services (Underweight) Chart 33Pricing Power Is Still On Hold Valuations have fallen significantly - our VI continues to touch new lows - and our TI has been indicating a persistently oversold position, but we think the industry is in a de-rating phase, implying the new valuation paradigm has a degree of permanence. Size Indicator (Favor Large Vs. Small Caps) Our size CMI has fallen back to the boom/bust line. Keep in mind that this CMI is not designed as a directional trend predictor, but rather as a buy/sell oscillator; the current message is neutral. Despite the neutral CMI reading, we downgraded small caps earlier this year,4 and moved to a large cap preference, based on the diverging (and unsustainable) debt levels of small caps vs. their large cap peers (top and second panels, Chart 35). We expect the divergence in leverage and stock price to be rationalized as it usually has: via a fall in the latter. Chart 34Size Indicator (Favor Large Vs. Small Caps) Chart 35Small Cap Leverage Is Critical Our call has thus far been slightly offside as small caps have been outperforming: investors have sought the trade-friction free shelter that small caps offer compared with internationally exposed large caps. Extreme optimism also reigns throughout the small cap world (third panel, Chart 35). However, we continue to think a turn is merely a matter of time; the NFIB's "good time to expand" reading is at its highest level in the history of the survey (bottom panel, Chart 35) which means small cap CEOs are more likely to push their already-stretched balance sheets closer to the breaking point. Our TI is telling us that small caps are overbought, but the VI continues to offer a neutral message. Chris Bowes, Associate Editor chrisb@bcaresearch.com 1 Please see BCA U.S. Equity Strategy Insight Report, "How Expensive Is The SPX?" dated July 6, 2018, available at uses.bcaresearch.com. 2 Please see BCA U.S. Equity Strategy Weekly Report, "Buying Opportunity," dated April 9, 2018, available at uses.bcaresearch.com. 3 Please see BCA U.S. Equity Strategy Special Report, "UnReal Estate Opportunity," dated July 9, 2018, available at uses.bcaresearch.com. 4 Please see BCA U.S. Equity Strategy Special Report, "UnReal Estate Opportunity," dated July 9, 2018, available at uses.bcaresearch.com.
特別レポート Highlights Rising non-OPEC production and the Trump administration's successful efforts at jawboning OPEC into increasing oil production - including a not-so-subtle threat that American protection of the Cartel's Gulf Arab producers would be withheld if production weren't ramped - will keep oil prices under pressure in 2H18. Markets could become chaotic in 2019: Iran's capacity to close the Strait of Hormuz - discussed below in this Special Report written jointly by BCA's Commodity & Energy Strategy and Geopolitical Strategy - cannot be dismissed. An extended closure of the Strait - our most dire scenario - could send prices on exponential trajectories: In one simulation, above $1,000/bbl. We are keeping our forecast for 2H18 Brent at $70/bbl, unchanged from June, and lowering our 2019 expectation by $2 to $75/bbl. We expect WTI to trade $6/bbl below Brent. Rising geopolitical uncertainty will widen the range in which oil prices trade - i.e., it will lift volatility. Energy: Overweight. We are moving to a tactically neutral weighting, while maintaining our strategic overweight recommendation. We are closing our Dec18 Brent $65 vs. $70/bbl call spread but are retaining long call-spread exposures in 2019 along the Brent forward curve. Base Metals: Neutral. Contract renegotiations at Chile's Escondida copper mine are yet to be resolved. The union rejected BHP's proposal late last week, and threatened to vote for a strike unless substantial changes were made. Failure to reach a labor deal at the Escondida mine led to a 44-day strike last year, and an extension of the contract. This agreement expires at the end of this month. Precious Metals: Neutral. Increasing real rates in the U.S. and a stronger USD are offsetting safe-haven demand for gold, which is down 10% from its 2018 highs of $1360/oz. Ags/Softs: Underweight. The Chinese agriculture ministry lowered its forecast for 2018/19 soybean imports late last week to 93.85 mm MT from 95.65 mm MT. This is in line with its adjustment to consumption this year, now forecast at 109.23 from 111.19 mm MT. Tariffs are expected to incentivize Chinese consumers to prefer alternative proteins - e.g., rapeseed - and to replace U.S. soybean imports with those from South America. Feature U.S. President Donald Trump jawboned OPEC Cartel members - particularly its Gulf Arab members - into raising production. This was accompanied with a none-too-subtle threat implying continued U.S. protection of the Gulf Arab states was at risk if oil production were not lifted.1 OPEC, particularly KSA, responded by lifting production and pledging to keep it at an elevated level. In addition, non-OPEC production growth has been particularly strong this year, and will remain so. These combined production increases will contribute to a modest rebuilding of inventories in 2H18, as markets prepare for the loss of as much as 1 MMb/d of Iranian oil exports beginning in November (Chart of the Week). Chart of the WeekOECD Inventory##BR##Depletion Will Slow Chart 2Global Balances Will Loosen,##BR##As Higher Supply Meets Steady Demand Estimated 2H18 total OPEC production rose a net 130k b/d, led by a 180k b/d increase on the part of KSA, which will average just under 10.6 MMb/d in the second half of the year. Non-OPEC production for 2H18 was revised upward by 180k b/d in our balances models - based on historical data from the U.S. EIA and OPEC - led by the U.S. shales, which were up close to 700k b/d over 1Q18 levels. This led to a combined increase in global production of 310k b/d in 2H18. With demand growth remaining at 1.7 MMb/d y/y for 2018 and 2019, we expect the higher output from OPEC and non-OPEC sources to loosen physical balances in 2H18 (Chart 2 and Table 1).2 Table 1BCA Global Oil Supply - Demand Balances (MMb/d) (Base Case Balances) In and of itself, increased production will reverse some of the depletion of OECD inventories targeted by OPEC 2.0 in its effort to rebalance the market. All else equal, this would be bearish for prices. However, we are keeping our price forecast for 2H18 unchanged from last month - $70/bbl for Brent in 2H18 - and lowering our expectation for Brent to $75/bbl in 2019. This adjustment in next year's expectation reflects our belief that this round of increased production by OPEC 2.0 arguably is being undertaken specifically to rebuild storage ahead of the re-imposition of export sanctions by the U.S. against Iran. Re-imposing sanctions unwinds a deal negotiated by the U.S. and its allies in 2015, which relaxed nuclear-related sanctions against Iran in exchange for commitments to scale back its involvement across the Middle East in the affairs of Arab states with restive Shia populations.3 The re-imposition of sanctions by the U.S. against Iran has set off a round of diplomatic barbs and thrusts on both sides. President Trump declared he wanted Iran's oil exports to go to zero, which was followed by Iran's threat to close the Strait of Hormuz. This set oil markets on edge, given that close to 20% of the world's oil flows through the Strait on any given day.4 Geopolitics Reasserts Itself In The Gulf Oil prices will become increasingly sensitive to geopolitical developments, particularly in the Gulf, now that the U.S. and its allies - chiefly KSA - and Iran and its allies are preparing to square off diplomatically, and possibly militarily. This will lead to a wider range in which oil will trade - i.e., we expect more significant deviations from fundamentally implied values, as markets attempt to price in highly uncertain outcomes to political events.5 Tensions around the Strait of Hormuz - discussed below - will remain elevated post-sanctions being re-imposed, even if we only see threats to traffic through this most-important oil transit. Chart 3 shows that in periods when the error term of our fundamental econometric model increases, it typically coincides with higher implied volatilities. Specifically, the confidence interval around our fundamental-based price forecast widens in times of heightened uncertainty and volatility. The larger the volatility, the larger the squared deviation between our fitted Brent prices against actual prices.6 This indicates the probability of ending 2H18 exactly at our $70/bbl target is reduced as mounting upside - e.g. faster-than-expected collapse in Venezuelan crude exports, rising tensions around the Strait of Hormuz or larger-than-expected Permian pipeline/production bottlenecks - and downside - e.g. escalating U.S.-Sino trade war tensions, increasing Libyan and Nigerian production - risks push the upper and lower bounds around our forecast further apart. Chart 3Increasing Sensitivity To Geopolitics Will Widen Crude's Price Range This directly translates into a wider range in which prices will trade - uncertainty is high, and, while it is being resolved, markets will remain extremely sensitive to any information that could send prices on an alternative path (Chart 4). Chart 4Greater Geopolitical Uncertainty Widens Oil Price Trading Range Risks related to a closure of the Strait are not accounted for in our forecasts. However, given the magnitude of the risks implied by even the remote possibility of a closure, we expect markets will put a risk premium into prices. In an attempt to frame out price estimates from a short (10-day) and long (100-day) closure, we provide some cursory simulation results below.7 Can Iran Close The Strait Of Hormuz? The Strait of Hormuz, through which some 20% of global oil supply transits daily, is the principal risk that will keep markets hyper-vigilant going forward.8 A complete closure of the Strait of Hormuz (Map 1) would be the greatest disruption of oil production in history, three times more significant than the supply loss following the Islamic Revolution in 1979 (Chart 5). By our estimate, a 10-day closure at the beginning of 2H19 could pop prices by ~ $25/bbl. A 100-day closure could send prices above $1,000/bbl in our estimates. Map 1Iran Threatens Gulf Shipments Again Chart 5Geopolitical Crises And Global Peak Supply Losses So, the question naturally arises, can Iran's forces close the Strait? Iran's ability is limited by structural and military factors, but it could definitely impede traffic through the globe's most crucial energy chokepoint. There are two scenarios for the closure of the Strait: (i) Iran does so preemptively in retaliation to crippling economic sanctions; or (ii) Iran does so in retaliation to an attack against its nuclear facilities. Either scenario is possible in 2019, as the U.S. intends to re-impose sanctions against Iranian oil exports on November 9, a move that could lead to armed conflict if Iran were to retaliate (Diagram 1).9 Diagram 1Iran-U.S. Tensions Decision Tree SCENARIO I - Preemptive Closure In the past, Tehran has threatened to preemptively close the Strait of Hormuz whenever tensions regarding its nuclear program arose. The threats stopped in mid-2012, as U.S. and Iranian officials engaged in negotiations over the country's nuclear program. However, on July 4 of this year, Iran's nominally moderate President Hassan Rouhani pledged that Tehran would retaliate to an oil export embargo by closing the Strait. Rouhani's comments were reinforced on July 5 by the commander of Iran's elite Revolutionary Guards, whose forces patrol the Strait, Mohammad Ali Jafari. Could Iran actually impede traffic through the Strait of Hormuz?10 Yes. Our most pessimistic scenario posits that Iran could close the waterway for about three or four months. This is based on three military capabilities: mines, land-based anti-ship cruise missiles (ASCM), and a large number of small boats for suicide-like attack waves. In our pessimistic scenario, we assume that Iran would be able to deploy about 700 mines and threaten the Strait by firing only one anti-ship cruise missiles (ASCM) operated via land-based batteries or ship per day, in order to prolong the threat.11 In that way, Iran could draw out the threat indefinitely. The length of closure is based on how long it would take the U.S. naval assets in the region to clear the mines, establish a Q-route - corridor within which the probability of hitting a mine is below 10% - and locate ASCM radars and batteries. The pessimistic scenario is unlikely to occur because of several countermeasures that the U.S. and its regional allies could employ - anti-mine operations, meant to clear a so-called Q route allowing safe passage of oil tankers under U.S. naval escort; punitive retaliation, which would inflict punitive damage on Iran's economy and infrastructure; and, lastly, Iran would not want to risk exposing its radar-guided anti-ship missiles to U.S. suppression of enemy air-defense (SEAD) operations that seek and destroy radars. Despite Iran's growing capability, we still posit that its forces would only be able to close the Strait of Hormuz for between three-to-four months. However, the more likely, "optimistic," scenario is that the closure itself lasts 7-10 days, while Iran then continues to threaten, but not actually close, the Strait for up to four months. It would be worth remembering that the U.S. has already retaliated against a potential closure, precisely 30 years ago. Midway through the Iran-Iraq war, both belligerents began attacking each other's tankers in the Gulf. Iran also began to attack Kuwaiti tankers after it concluded that the country was assisting with Iraq's war efforts. In response, Kuwait requested U.S. assistance and President Ronald Reagan declared in January 1987 that tankers from Kuwait would be flagged as American ships. After several small skirmishes over the following year, the USS Samuel B Roberts hit a mine north of Qatar. The mine recovered was linked to documents found by the U.S. during an attack on a small Iranian vessel laying mines earlier in 1987. The U.S. responded by launching Operation Praying Mantis on April 18, 1988. During the operation, which only lasted a day, the U.S. navy seriously damaged Iran's naval capabilities before it was ordered to disengage as the Iranians quickly retreated. Specifically, two Iranian oil platforms, two Iranian ships, and six gunboats were destroyed. The USS Wainwright also engaged two Iranian F-4s, forcing both to retreat after one was damaged. From this embarrassing destruction of Iran's naval assets, the country realized that conventional capabilities stood little chance against a far superior U.S. navy. As a result, Iran has strengthened its asymmetrical sea capabilities, such as the use of small vessels, and has made evident that the use of mines would be integral to its engagements with foreign navies in the Gulf. However, the switch to asymmetrical warfare means that Iran would likely threaten, rather than directly close, the Strait. From an investment perspective, the threat to shipping would have to be priced-in via higher insurance rates. According to research by the University of Texas Robert S. Strauss Center, the insurance premiums never rose above 7.5% of the price of vessel during the 1980s Iran-Iraq war and actually hovered around 2% throughout the conflict. Rates for tankers docking in Somali ports, presumably as dangerous of a shipping mission as it gets, are set at 10% of the value of the vessel. A typical very large crude carrier (VLCC) is worth approximately $120 million. Adding the market value of two million barrels of crude would bring its value up to around $270 million at current prices. If insurance rates were to double to 20%, the insurance costs alone would add around $30 per barrel, $15 per barrel if rates stayed at the more reasonable 10%. This is without factoring in any geopolitical risk premium or direct loss of supply of Iran's output due to war. Bottom Line: Iran's military capabilities have increased significantly since the 1980s when it last threatened the shipping in the Strait. Iran has also bolstered its asymmetric capabilities since 2012, while the U.S. has largely remained the same in terms of anti-mine capabilities. If Iran had the first-mover advantage in our preemptive closure scenario, the most likely outcome would be that it could close the Strait for up to 10 days and then threaten to close it for up to four months in total. SCENARIO II - Retaliatory Closure A retaliatory closure is possible in the case of a U.S. (or Israeli) attack against Iran's nuclear facilities. Following from the military analysis of a preemptive closure, we can ascertain that a retaliatory closure would be far less effective. The U.S. would deploy all of its countermeasures to Iranian closure tactics as part of its initial attack. If Iran loses its first-mover advantage, it is not clear how it would lay the mines that are critical to closing the Strait. Iran's Kilo class submarines, the main component of a covert mine-laying operation, would be destroyed in port or hunted down in a large search-and-destroy mission that would "light up" the Strait of Hormuz with active sonar pings. The duration of the closure could therefore be insignificant, even non-existent. The only potential threat is that of Iran's ASCM capability. Iran would be able to use its ASCMs in much the same way as in the preemptive scenario, depending on the rate of fire and rate of discovery by U.S. assets. Bottom Line: It makes a big difference whether Iran closes the Strait of Hormuz preemptively or as part of a retaliation to an attack. The U.S. would, in any attack, likely target Iran's ability to retaliate against global shipping in the Persian Gulf. As such, Tehran's asymmetric advantages would be lost. Putting It All Together - Can Iran Close The Strait? Our three scenarios are presented in Table 2. Iran has the ability to close the Strait of Hormuz for up to three-to-four months. That "pessimistic" scenario, however, is highly unlikely. The more likely scenarios are the "preemptive optimistic" and retaliatory scenarios. Table 2Closing The Strait Of Hormuz: Scenarios Assessing the price implications of these scenarios is extremely difficult. Even though the "preemptive optimistic" and the "retaliatory" scenarios are short-lived, up to 20% of the world's daily demand would be removed from the market in the event the Strait of Hormuz was closed. Of course, the U.S. would release barrels from its 660mm-barrel Strategic Petroleum Reserve (SPR) - likely the full maximum of 30 million barrels authorized under law, released over 30 days for a 1 MMb/d release - and Europe would also release ~ 1 MMb/d or so from its crude and product stocks. China likely would tap its SPR as well for 500k b/d. In addition, there is ~ 2 MMb/d of spare capacity in OPEC, which could be brought on line in 30 days (once the Strait is re-opened), and delivered for at least 90 days. How and when a closure of the Strait of Hormuz occurs cannot be modeled, since, as far as prices are concerned, so much depends on when it occurs, and its duration. For this reason, and the extremely low probability we attach to any closure of the Strait, we do not include these types of simulations in our analysis of the various scenarios we include in our ensemble. That said, it is useful to frame the range implied by the scenarios above. We did a cursory check of the impact of scenarios 1 and 2 above, in which we assume 19 MMb/d flow through the Strait is lost for 10 days and 100 days due to closure by Iran in July 2019. We assume this will be accompanied by a 2 MMb/d release from various SPRs globally. In scenario 1, the 10-day closure of the Strait lifts price by $25/bbl, and is resolved in ~ 2 months, with prices returning to ~ $75/bbl for the remainder of the year. In scenario 2, the Strait is closed for 100 days, and this sends prices to $1,500/bbl in our simulation. This obviously would not stand and we would expect the U.S. and its allies - supported by the entire industrialized world - would launch a powerful offensive to reopen the Strait. This would be extremely destructive to Iran, which is why we give it such a low probability. Bottom Line: While the odds of a closure of the Strait of Hormuz are extremely low - to the point of not being explicitly modeled in our balances and forecasts - framing the possible outcomes from the scenarios considered in this report reveals the huge stakes involved. A short closure of 10 days could pop prices by $25/bbl before flows are restored to normal and inventory rebuilt, while an extended 100-day closure could send prices to $1,500/bbl or more. Because the latter outcome would result in a massive offensive against Iran - supported by oil-consuming states globally - we view this as a low-probability event. Robert P. Ryan, Senior Vice President Commodity & Energy Strategy rryan@bcaresearch.com Marko Papic, Senior Vice President Chief Geopolitical Strategist marko@bcaresearch.com Matt Conlan, Senior Vice President Energy Sector Strategy mattconlan@bcaresearchny.com Hugo Bélanger, Senior Analyst Commodity & Energy Strategy HugoB@bcaresearch.com 1 President Trump's tweets calling for higher oil production have consistently been directed at the original OPEC Cartel, as seen July 4: "The OPEC monopoly must remember that gas prices are up & they are doing little to help. If anything, they are driving prices higher as the United States defends many of their members for very little $'s. This must be a two way street. REDUCE PRICING NOW!" Since the end of 2016, we have been following the production and policy statements of OPEC 2.0, the name we coined for the producer coalition led by the Kingdom of Saudi Arabia (KSA) and Russia. 2 We will be exploring the rising risks to our demand projections in future research. Still, we are in broad agreement with the IMF's most recent assessment of global economic growth, which remains at 3.9% p.a. Please see "The Global Expansion: Still Strong but Less Even, More Fragile, Under Threat," published July 16, 2018, on the IMF's blog. 3 We discuss this at length in the Special Report we published with BCA's Geopolitical Strategy on June 7, 2018, entitled "Iraq Is The Prize In U.S. - Iran Sanctions Conflict." It is available at ces.bcaresearch.com. 4 In an apparent recognition of what it would mean for world oil markets if Iran's exports did go to zero - particularly with Venezuela so close to collapse, which could take another 800k b/d off the market - U.S. Secretary of State Mike Pompeo announced waivers to the sanctions would be granted, following Trump's remarks at the beginning of July. See "Pompeo says US could issue Iran oil sanctions waivers" in the July 10, 2018, Financial Times. The Trump administration, however, is keeping markets on their toes, with Treasury Secretary Steven Mnuchin telling the U.S. Congress, "We want people to reduce oil purchases to zero, but in certain cases, if people can't do that overnight, we'll consider exceptions." See "Iran sues US for compensation ahead of re-imposition of oil sanctions," published by S&P Global Platts on July 17, 2018, on its spglobal.com/platts website. 5 Technically, this means the confidence interval around the target is now wider, which implies high probability of going above $80/bbl as well as the probability of going under $70/bbl. Still, the 2019 risks are skewed to the upside, in our view. 6 Given that our model is based solely on a variety of fundamental variables - i.e. supply-demand-inventory - the deviations can be interpreted as movements in the risks premium/discount. 7 This exercise does not include any estimate of oil flows through KSA's East-West pipeline, and possible exports therefrom. The rated capacity of the 745-mile line is 5 MMb/d, possibly 7 MMb/d. KSA's Red Sea loading capacity and the capacity of the Suez Canal and Bab el Mandeb under stress - i.e., the volumes either can handle with a surge of oil-tanker traffic - is not considered either. 8 This is the U.S. EIA's estimate. The EIA notes that in 2015 the daily flow of oil through the Strait accounted for 30% of all seaborne-traded crude oil and other liquids. Natural gas markets also could be affected by a closure: In 2016, more than 30% of global liquefied natural gas trade transited the Strait. Please see "Three important oil trade chokepoints are located around the Arabian Peninsula," published August 4, 2017, at eia.gov. 9 We encourage our clients to read our analysis of potential Iranian retaliatory strategies, penned by BCA's Geopolitical Strategy team. Please see BCA Geopolitical Strategy Special Report, "Why Conflict With Iran Is A Big Deal - And Why Iraq Is The Prize," dated May 30, 2018, available at gps.bcaresearch.com. 10 Analysis of Iran's military strategy and U.S. counterstrategy used in this paper relies on research from three heavily cited papers. Eugene Gholz and Daryl Press are skeptical of Iran's ability to close the Strait in their paper titled "Protecting 'The Prize': Oil and the National Interest," published in Security Studies Vol. 19, No. 3, 2010. Caitlin Talmadge gives Iran's capabilities far more credit in a paper titled "Closing Time: Assessing the Iranian Threat to the Strait of Hormuz," published in International Security Vol. 33, No. 1, Summer 2008. Eugene Gholz also led a project at the University of Texas Robert S. Strauss Center for International Security and Law that published an extensive report titled "The Strait of Hormuz: Political-Military Analysis of Threats to Oil Flows." 11 In the Strauss Center study, the most likely number is 814 mines, if Iran had a two-week period to do so covertly. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Trades Closed in 2018 Summary of Trades Closed in 2018