Developed Countries

Special Report

Highlights "When you come to a fork in the road, take it." - Yogi Berra The last time we invoked the great American philosopher Yogi Berra was in September 2015. Back then, the oil market was at a critical juncture, as the market-share war initiated by OPEC in November 2014 approached its dénouement.1 The signal feature of the oil market in September 2015 was a massive 1.5mm b/d oversupply that was rapidly filling storage globally. We noted this surplus "... either will be cleared gradually or convulsively. ... (H)igh-cost supply either will exit the market rationally ... or via sharp lurches toward cash-breakeven costs, as global inventories fill on the back of slowing demand in an oversupplied market. Either way, markets will balance." In the event, prices lurched sharply into the left tail of the distribution toward cash-breakevens, with Brent approaching $25/bbl in 1Q16 (vs. more than $100/bbl in mid-2014). Oil's at a critical juncture again. Only this time, prices are poised to push higher into the right tail of the distribution, ahead of the likely loss of 2mm b/d or more of exports on the back of U.S.-imposed sanctions against Iran, and the all-but-certain collapse of Venezuela's economy. In our modelling, these events - along with constrained U.S. shale oil output due to pipeline bottlenecks in the Permian basin, and still-strong demand assumptions - could send prices above $120/bbl.2 This is not a foregone conclusion, however. Downside risks to global oil demand - largely from tariffs and non-tariff barriers to trade, and the Fed's monetary policy - are building. In this Special Report, we expand our examination of downside risks to oil prices arising from divergent monetary policies at systematically important central banks, particularly their impacts on currency markets, which we began last week. Feature Chart of the WeekOil Prices And USD TWIB Share##BR##Long-Term Trend, Equilibrium We strongly believe Fed policy will, once again, become a key variable in the evolution of oil prices, mostly via the FX markets. As a result, our regular monthly oil price forecast will be complemented by an additional component: our U.S. trade-weighted dollar (USD TWIB) forecast. In the current market, this is a downside scenario not a revised expectation. The FX simulation we describe below for prices hugs the lower boundary of the 95-percent confidence interval we use to situate our scenarios within. This will allow us to judge our expectation against market-cleared expectations. Our thesis that the USD's appreciation earlier this year would have a moderate effect on the evolution of oil prices - i.e., that supply-demand fundamentals would dominate this evolution - has been spot-on so far in 2018.3 This is largely due to OPEC 2.0's remarkable production discipline, and strong demand, particularly out of EM economies, which caused global inventories to draw, and kept the forward curves for Brent and WTI backwardated. 4 However, with the U.S. economy powering ahead - growing at a 3.1% rate in 1H18 - and, per our House view, the Fed continuing to lean into its rates-normalization policy, the USD will rise ~ 5% over the next year.5 We have shown in the past how important the USD can be for oil prices. Our oil financial model uses the USD as its main explanatory variable, and shows these variables are cointegrated in the long run - i.e. they share a common long-term trend and are in an equilibrium relationship (Chart of the Week). Consequently, forecasting the U.S. dollar is crucial step in our oil-price forecasting process. The Fed And Oil Prices As the Iran sanctions approach, OPEC 2.0 has indicated - not in a particularly clear manner - that it will be increasing production. While it appears the producer coalition will raise output slower than it previously led the market to believe, it is raising output.6 In addition, the U.S. Strategic Petroleum Reserve (SPR) also will be releasing 11mm barrels of oil over the October - November period. This short-term measure will help keep gasoline prices down going into the U.S. mid-term elections. While OPEC 2.0 calibrates the output required to offset the Iran-Venezuela supply-side risks, demand growth is being threatened by tariff and non-tariff barriers to trade, and the Fed's monetary policy.7 Between tariffs and U.S. monetary policy, we believe Fed policy trumps U.S. trade policy ... at least for now. Fed Policy Trumps Tariffs A lot of ink has been spilled on the Sino - U.S. trade war, but so far, the actual damage done to the $17 trillion global trading markets is trivial (Chart 2). Of course, this could quickly change if the U.S. and China step up their tit-for-tat tariffs and both plunge into an all-out trade war. Fed policy is neither trivial nor local: It is a global macro variable, largely because it impacts the U.S. dollar directly. This is important for EM economies, especially as it pertains to trade. We have shown EM imports and exports are exquisitely sensitive to the USD TWIB.8 This makes the USD TWIB particularly important to commodity markets, since most of the world's traded commodities are priced in USD and EM demand dominates global demand. When the Fed is tightening, the dollar appreciates, and commodities priced in USD become more costly ex-U.S. at the margin. This lowers demand for goods priced in USD. In addition, a stronger USD lowers the cost of production ex-U.S., which, again, at the margin, incentivizes supply growth, since commodity producers effectively arbitrage their local currency weakness by selling their output for USD. This supply-side effect is tempered somewhat by the degree to which commodity producers ex-U.S. are exposed to dollar strength in their input markets. For example, if a producer's production inputs are priced in USD - e.g., drilling services - its margins suffer, and output increases are constrained or nullified. The Fed is the only systematically important central bank we follow - the others being the ECB, BoJ and PBoC - implementing and executing an interest-rate normalization policy. This has supported USD strength against the systematically important currencies we follow, as well (Chart 3). Chart 2Tariffs Are A Less Threat To Global Growth ... Chart 3Important Central Banks Keeping Policies Accommodative The IMF is encouraging the ECB to maintain its accommodative policy, and the BoJ also is keeping its policy relatively loose.9 The BoJ is keeping policy on hold for now, and is guiding to no rate hikes until 2020. Our colleagues in BCA's FX and Fixed Income desks expect the BoJ to continue with its Yield Curve Control Strategy for the remainder of the year, and most of next year. The absence of monetary tightening will keep Japanese yields lower than other major central banks. The PBoC appears to have moved toward a more accommodative mode, in the wake of the Sino - U.S. trade war. We believe the PBoC will remain accommodative in terms of official lending rates to avoid too-fast a deceleration of the economy, largely because of high private debt levels.10 EM Trade Volumes And Oil Prices Against a largely accommodative backdrop ex-U.S., the USD TWIB appreciated ~5% y/y, while the JP Morgan Emerging Markets FX index dropped ~11% (Chart 4). In the wake of USD TWIB strength, EM trade volumes have held up reasonably well; but growth rates have been under pressure particularly in Central and Eastern Europe (Chart 5, bottom panel). This is being offset by a turn-around in the Middle East and Africa (third panel). Chart 4Fed Policy Drives USD Strength Chart 5EM Trade Slowing, But Still Holding Up Assuming the Fed maintains its existing course re policy-rate normalization, our Fed-policy models indicate the USD TWIB will continue to strengthen (Chart 6).11 On the flip side of that, EM currencies will continue to weaken (Chart 7). This will keep pressure on EM trade volumes, particularly the important import volumes. Over the next year, we expect continued slowing in trade volumes, although, on average, we still expect y/y growth (Chart 8). While growth is slowing in EM trade, the levels of trade will remain high, unless a full-blown global trade war erupts that literally forces trade to contract. Chart 6Fed Policy Will Propel USD TWIB Higher... Chart 7... And Keep EM Currencies Weaker Chart 8Downward Trend In EM Trade Will Continue As USD Strengthens ... Strong USD, Weak EM Trade := Bearish Fed policy will strengthen the USD TWIB and weaken EM trade. These factors will tend to pull crude oil prices down, in and of themselves (Chart 9). We do not think these factors will dominate the evolution of crude oil prices over the next six months, however. That said, the current environment forces us to adapt our modelling procedure in order to account for the possible re-emergence of the USD as a key driver of oil prices. Going forward, our regular monthly oil price forecast will be complemented by our U.S. trade weighted dollar forecast.12 We will be rolling out our new oil-price forecasting models next month, when we update our supply-demand balances and price forecasts. For the immediate future, we continue to believe upside price risk dominates the oil market: The approaching U.S. sanctions against Iran and the all-but-certain collapse of Venezuela's economy could remove as much as 2mm b/d of exports from oil markets by next year, if not sooner. This would constitute an oil-price shock, pushing prices into the right tail of the price distribution, consistent with the modelling we've done for the past several months (Chart 10). Chart 9... Adding A Bearish Factor To##BR##The Evolution Of Brent, WTI Prices Chart 10Upside Risks##BR##Still Dominate We reiterate our conclusion from last week, however, that an oil-supply shock, coupled with slower EM trade growth ultimately will produce strong deflationary impulses. If markets avoid an oil supply shock, and if the Fed maintains its rates-normalization policy while the rest of the world's systemically important central banks remain accommodative, pressure will build on EM trade - and incomes - that reduces commodity demand, in line with lower aggregate demand from the EM economies. In either event, the Fed's rates-normalization policy most likely will have to turn accommodative to counter this. Robert P. Ryan, Senior Vice President Commodity & Energy Strategy rryan@bcaresearch.com Hugo Bélanger, Senior Analyst Commodity & Energy Strategy HugoB@bcaresearch.com 1 Please see our Special Report entitled "Oil Volatility To Stay Higher Longer," published September 17, 2015. It is available at ces.bcaresearch.com. 2 We have written at length regarding this possible price evolution. Please see, e.g., BCA's Commodity & Energy Strategy Weekly Reports from August 16 and August 2, 2018, entitled "OPEC 2.0 Sailing Close To The Wind," and "Calm Before The Storm In Oil Markets." Both are available at ces.bcaresearch.com. 3 For more details, please see Commodity & Energy Strategy Weekly Report published February 8, 2018, "OPEC 2.0 Vs. The Fed." It is available at ces.bcaresearch.com. 4 OPEC 2.0 is the name we coined for the producer coalition lead by the Kingdom of Saudi Arabia (KSA) and Russia. 5 In Jackson Hole last week, Fed Chair Jerome Powell gave a strong endorsement of the Fed's rates-normalization. Please see "Fed Chair Powell: further rate hikes best way to protect recovery," published by reuters.com August 24, 2018. 6 On a 4Q19 vs 4Q18 basis, we expect global oil supply to increase just over 1mm b/d, and for demand to rise 1.8mm b/d, leaving the market in a physical deficit in 2H18 and 2019. We expect Brent to average $70/bbl in 2H18 and $80/bbl in 2019. Please see our updated balances estimates and price forecasts in "OPEC 2.0 Sailing Close To The Wind," published August 16, 2018, by BCA Research's Commodity & Energy Strategy. It is available at ces.bcaresearch.com. 7 Our $80/bbl forecast for Brent crude next year - and the physical deficit we expect - implicitly assumes OPEC 2.0 either wants to keep the market relatively tight, which will force inventories to draw and backwardate the forward curves, or that it is pushing up against the limits of the production it can readily bring to market. 8 We most recently discussed this in our Commodity & Energy Strategy Weekly Report published August 23, 2018, "Trade, Dollars, Oil & Metals ... Assessing Downside Risk." It is available at ces.bcaresearch.com. 9 Please see Abdih, Yasser, Li Lin, and Anne-Charlotte Paret (2018), "Understanding Euro Area Inflation Dynamics: Why So Low for So Long?" published by the IMF this month. 10 Please see BCA Research's Global Fixed Income Strategy Weekly Report, "An R-Star Is Born," dated August 7, 2018, and Foreign Exchange Strategy Weekly Report, "Rhetoric Is Not Always Policy", dated July 27, 2018, available at gfis.bcaresearch.com and fes.bcaresearch.com. 11 We have a suite of models we use to forecast the USD TWIB, many of which use proxies for the Fed's Congressionally mandated policy goals - i.e., maximum employment, stable prices and moderate long-term interest rates. We use cointegrating regressions to estimate these policy-driven models. The R2 coefficients of determination for the models are clustered around 0.95. The out-of-sample results are strong; we use a weighted-average of the five forecasts based on root-mean-square errors to come up with our USD TWIB forecast. We presented our policy-variables USD TWIB models in last week's Commodity & Energy Strategy Weekly Report. Please see "Trade, Dollars, Oil & Metals ... Assessing Downside Risk." It is available at ces.bcaresearch.com. 12 With the introduction of these financial and macro variables, our oil price forecast will be a weighted average of our core Fundamental model and the new Financial model - i.e. the final forecast will look like [aFundamental+(1-a)Financial]. The weights - a and (1-a) - are time-varying, and will reflect our Bayesian probabilities for the relative importance of each model's contribution to price action every month. These weights are crucial. We allow them to vary in order to capture periods in which our analysis tells us we should expect the USD effect to be muted by idiosyncratic supply, demand or inventory dynamics. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Trades Closed in 2018 Summary of Trades Closed in 2017

As the SPX and a slew of other indices have vaulted to fresh all-time highs, a deeper dive into profit margins is in order. While the S&P 500's profit margins are benefiting from the one-time fillip of lower corporate taxes in calendar 2018, it is important to remember that this is not affected by any massaging from CEOs/CFOs of the share count. In other words, given that "per share" cancel out of EPS/SPS, this margin number represents organic profit and revenue growth. The chart shows that SPX margins have recently slingshot to all-time highs. However, excluding tech they remain below the previous cycle's peak hit in mid-2007. While we are not fans of excluding sectors from our analysis, the magnitude and persistence of the tech sector's profit margin expansion is surprising. Tech sector profit margins are twice the SPX's margins, and tech stocks have been pulling SPX margins higher consistently for the past 8 years. The implication is that SPX EPS growth of 10% is likely in 2019, but the tech sector has to continue doing all the heavy lifting given the high profit and market cap weight in the SPX. Bottom Line: We remain neutral the broad tech sector and prefer the S&P software and S&P tech hardware, storage & peripherals indexes (both are high-conviction overweights) to the early cyclical tech indexes, S&P semis and S&P semi equipment subgroups (both are underweight). For additional details, please look forward to reading in this coming Tuesday's Weekly Report.

Overweight As trade tensions have eased in recent weeks, we have seen a broad based recovery in trade-oriented stocks. One notable exception is the S&P containers & packaging index which has failed to rally with its peers. This is particularly surprising considering the global trade picture is nearly as good as it gets (second panel). Consumer spending on food & beverage has historically been the industry bellwether and the current message is exceptionally positive. In fact, an exploitable buying opportunity has emerged as the relative valuation of the S&P containers & packaging index and growth in consumer spending on food and beverage (advanced by 6 months), which usually move in lockstep have sharply diverged (bottom panel). Considering the former is at a decade-low, we expect a catch up phase to emerge via a valuation rerating; stay overweight. The ticker symbols for the stocks in this index are: BLBG: S5CONP - IP, WRK, BLL, PKG, SEE, AVY.

U.S. equity bears have been warning that the strength of the U.S. dollar will start to infiltrate the exceptionally strong earnings of the S&P 500. While this is intuitively correct, particularly given how much more international the S&P 500 has become (40% of earnings are generated overseas, roughly a doubling since the 1980's), empirical evidence does not support the assertion. As shown in the chart below, the S&P 500 tends to rally when the U.S. dollar is strengthening. The correlation of this effect is much stronger in an environment like today's, when the U.S. yield curve slope is between zero and 50-basis points, and flattening. The reason is a combination of money flows into U.S. dollar assets pushing multiples higher and the strong U.S. dollar putting downward pressure on rates, thus extending the business cycle. Bottom Line: BCA anticipates the dollar to be able to rise over the course of the next six to nine months, as U.S. rates are in favor of the greenback and domestic growth outperformance will continue to favor inflows into the U.S. This bullish view on the U.S. dollar currently does not constitute a reason to downgrade stocks to underweight. In fact, at this stage of the cycle, U.S. stocks and the dollar tend to rise in unison. Please see yesterday's Special Report for more details.

Special Report

Highlights 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. Feature Dear Client, This week, we are sending you a Special Report written by Ryan Swift, Chief Strategist of our sister publication, U.S. Bond Strategy. The report introduces an intriguing framework that directly links market expectations of changes in short-term interest rates to bond market returns for both U.S. Treasuries and U.S. spread product. We will extend the analysis to non-U.S. bond markets in a future Special Report to be published in late September. I trust you will find this report to be interesting and insightful. Best Regards, Rob Robis 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 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. 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. Chart 5The 2017 Example 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. Chart 6Market Has Underestimated##BR##The Fed In Recent Years 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. 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(DY2) E(DY2) = 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 +1.59% 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 +3.36%. Table 2Treasury Index Total Return Forecasts 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. 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 +2.79%. 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.##BR##12-Month Fed Funds Rate Surprise Chart 8Change In 2-Year Yield Vs.##BR##12-Month Fed Funds Rate Surprise Chart 9Change In 3-Year Yield Vs.##BR##12-Month Fed Funds Rate Surprise Chart 10Change In 5-Year Yield Vs.##BR##12-Month Fed Funds Rate Surprise Chart 11Change In 7-Year Yield Vs.##BR##12-Month Fed Funds Rate Surprise Chart 12Change In 10-Year Yield Vs.##BR##12-Month Fed Funds Rate Surprise Chart 13Change In 30-Year Yield Vs.##BR##12-Month Fed Funds Rate Surprise Appendix B Chart 14Corporate Bond Spread Scenarios Chart 15Government-Related Spread Scenarios Chart 16Structured Product Spread Scenarios

Special Report

Highlights Chart 1Corporate Health: Improving Everywhere, ##br##Down In The U.S. Dollar bull markets are often accompanied by positive returns for the S&P 500. While a strong dollar hurts the earnings outlook for the S&P 500, it supports an expansion of multiples by putting downward pressure on rates and elongating the U.S. business cycle. The dollar and stocks are most positively correlated when the U.S. yield curve slope is between zero and 50-basis points, and flattening. Today's environment fits this bill. BCA is neutral on U.S. in a balanced portfolio. While the USD's strength should be associated with rising U.S. equity prices, the quality of U.S. stock returns is deteriorating. This warrants a certain degree of de-risking relative to our former overweight stance. Feature For the past two weeks, we have warned investors that the dollar rally was over-extended, and that a correction was likely to ensue. However, we also argued that this correction was likely to prove a countertrend move, and that the dollar was likely to end the year at higher levels. BCA has a neutral stance on equities on both a cyclical and tactical horizon. BCA is also neutral on U.S. equities within a global equity portfolio. For investors, it becomes important to understand whether a stronger dollar constitutes an additional downside risk for stocks. This is especially relevant in the U.S., where equity valuations are comparatively elevated, and where corporate health is deteriorating relative to the rest of the world (Chart 1). In this report, we built on the research of our colleague Anastasios Avgeriou, who spearheads BCA's U.S. Equity Sector Strategy service, who has shown that the dollar and the S&P often do rise in unison.1 Ultimately, while the dollar can have an impact on the relative performance of the U.S., it is generally not a strong determinant of the trend in the S&P 500. Strong Dollar And The S&P: Good Friends Indeed A picture is worth a thousand words. As Chart 2 illustrates, a strong dollar has never really been enough to slay a bull run in the S&P 500. Between late 1978 and early 1985, the real trade-weighted dollar rallied by 45%, yet the S&P 500 was able to advance by 102%. Between 1995 and 2002, the real trade-weighted dollar increased by 33% but rallied by nearly 92%. If one were to confine their observations to 1995 to August 2000 window, the dollar would have been up 16.5% and the S&P an outstanding 223%. Finally, from its most recent cyclical bottom in 2011 to the end of 2016, the trade-weighted dollar rallied by 22%, but the S&P 500 managed to rise by another impressive 68%. It is true that the magnitude of the strength of U.S. equities in the face of a strong dollar has decreased over time. This essentially reflects the fact that in the early 1980s, 20% of S&P 500 revenues were garnered outside the U.S. versus roughly 40% today, which in turn has increased the drag on earnings created by a stronger dollar. This problem is illustrated by the negative relationship present between the dollar and U.S. earnings revisions (Chart 3). Chart 2Strong Dollar, No Problem Chart 3Dollar Is Dangerous For The Earnings Outlook Yet, despite this negative link between earnings revisions and the dollar, the S&P can still rise when the dollar increases. What explains this seeming paradox? The answer is almost tautological: It is multiples. A strong dollar tends to be associated with a rising P/E ratio. This is because a strong dollar has a dampening impact on inflation. As a result, when the dollar rises, the Federal Reserve can keep interest rates lower than would otherwise be the case, fomenting periods of declining bond yields (Chart 4). Thanks to lower bond yields, not only do multiples get a boost, but additionally the domestically driven U.S. economic cycle also gets elongated. This further helps stocks in the process. Another more international dimension helps explain the positive correlation between stocks and the dollar. The dollar tends to experience its strongest rallies when U.S. growth is superior to that of the rest of the G-10. As Chart 5 illustrates, the bulk of the early 1980s dollar rally, of the late 1990s rally, and of the 2011 to early 2017 rally materialized when U.S. economic activity was outperforming. In all these instances, the relative strength of the U.S. economy attracted funds from abroad. This also meant that foreign funds flowing into the U.S. economy bolstered liquidity in the U.S. economy. Not only did this liquidity support economic activity, thereby counterbalancing the drag created by a stronger dollar, these funds also found their way into asset markets, generating higher multiples in the U.S. in the process. Chart 4Strong Dollar Hurts Yields Chart 5Growth Differentials Matter For The Dollar Bottom Line: A strong dollar in and of itself has never been enough to derail a bull market in the S&P 500. While a strong dollar creates a hurdle for foreign earnings accruing to U.S. firms, higher multiples often compensate for this negative. Essentially, a higher dollar causes downside to bond yields, warranting lower hurdle rates and higher valuations. Moreover, a stronger dollar diminishes inflationary pressures in the U.S., warranting easier Fed policy than would otherwise be the case. Since the U.S. economy is domestically driven, this elongates the business cycle, helping stocks in the process. Correlation And The Yield Curve Slope While a strong dollar does not seem to be a death threat for the equity market, are there environments when the dollar and the S&P 500 are more correlated than others? Table 1Dollar Versus S&P 500 Correlation: ##br##A Function Of The Yield Curve The answer to this question is yes. As Table 1 illustrates, the correlation between the dollar and the S&P 500 fluctuates significantly based on both the slope of the yield curve and whether the yield curve is flattening or not. Interestingly, when the yield curve is steep (defined as greater than a 50-basis-point spread between 10-year and 2-year Treasury yields), the dollar and U.S. stock prices tend to move in opposite directions. However, when the yield curve is flatter but before it has yet to invert (a yield curve slope of between zero and 50 basis points), the correlation between the dollar and the S&P 500 changes: it becomes positive. In fact, the time at which the correlation between stocks and the dollar is the highest is when the yield curve slope is in that zone and is also flattening. This is surprising, but at the same time it makes sense. We know that when the yield curve is flat but not inverted, the stock market tends to still rally (Chart 6). However, this flattening yield curve indicates that monetary conditions are not as accommodative as they once were. Interestingly, while the dollar performs poorly in the early innings of a monetary tightening campaign, it performs much better when monetary conditions are not so easy anymore that they juice up global growth, but they are not yet tight enough to cause an imminent recession in the U.S.2 This corresponds to a an environment with a flatter yield curve that has yet to invert, such as the one in place today. In light of these observations, the close correlation between the S&P 500 and the dollar in this environment should not be very surprising. Chart 6Flat And Flattening: No Problem For Stocks Bottom Line: The dollar and the stock market are not always positively correlated. However, when the U.S. yield curve slope stands between zero and 50 basis points and is flattening, the positive correlation between the S&P 500 and the dollar is at its strongest. This defines today's environment. Investment Implications BCA thinks the U.S. dollar has ample downside on a long-term basis. After all, the U.S. dollar trades at a significant premium to its PPP fair value, and this kind of overvaluation historically indicates significant downside for the greenback on a multi-year time horizon (Chart 7). Moreover, the Trump administration's fiscal policy is likely to result in a widening of both the fiscal and current account deficits. While a twin deficit rarely impacts the dollar negatively, so long as U.S. real rates rise relative to the rest of the world, it nonetheless often ends up being a harbinger of long-term weakness in the greenback.3 It is hard to make any inference for the S&P 500 based on a bearish long-term dollar view as historically, during a structural dollar bear market, the relationship between the greenback and the S&P has been rather ambiguous. However, BCA also thinks the 2018 dollar rally is not over. As Chart 8 shows, when U.S. rates are in the top of the distribution of interest rates among G-10 economies, the dollar tends to perform well. The U.S.'s status as the global high-yielder is currently unchallenged. This suggests the dollar has a natural advantage over other currencies through the remainder of the year. Chart 7Long-Term Downside For The Dollar... Chart 8...But 2018 Rally Is Not Over Moreover, as the U.S. economy is less exposed to the global industrial cycle than the rest of the world is, the U.S. dollar will benefit from the softening global economic environment. This is even truer, given that the U.S. economy was already set to outperform other G-10 economies even before the soft patch in global trade began. As a result, long-term flows into the U.S. are strong, which is generating a basic balance-of-payments surplus (Chart 9). American investors are not blind to this reality; the higher expected rate of returns on U.S. projects along with U.S. corporations bringing earnings back home to take advantage of the Trump tax cuts is generating outsized repatriation flows into the country, historically a good correlate of a strong dollar (Chart 10). This phenomenon is likely to remain alive through the remainder of the year. Chart 9Money Is Making Its Way Into The U.S. Chart 10Americans Like Their Dollar Since the U.S. yield curve slope currently stands between zero and 50 basis points while it is flattening in response to the Fed's interest rate hikes, we are in the part of the cycle where the dollar and stocks are positively correlated, and where they in fact often rise together. This suggests the S&P 500 has more upside ahead for the rest of the year as well. It is important to note that the tech sector is now the most at risk from the dollar strength as it has the largest percentage of foreign sales (Chart 11). However, BCA is neutral on stocks on a cyclical horizon. This is not because stocks will not be able to eke out some positive returns; it is because we are acutely aware that we stand close to the end of the bull market. Moreover, the end of an equity bull market is often marked by a pick-up in volatility. Accordingly, risk-adjusted returns for U.S. equities are declining. Hence, while an underweight stance on stocks is not yet warranted, a neutral stance is appropriate as we believe that it is better to be early and leave some money on the table than to be late.4 There remains a big risk that could cause the dollar to rally and stocks to fall, despite where we stand in the cycle: trade disputes. As Chart 12 illustrates, since May, tariff announcements and protectionist pronouncements have buoyed the dollar. However, the same announcements ultimately represent a real risk to profits as they create a real danger for global supply chains and imply higher cost of goods sold by U.S. corporations. Investors should monitor these risks closely. Chart 11S&P 500: Aggregate Sector International Revenue Exposure (%) Chart 12While Tariffs Can Help The Dollar, ##br##They Will Not Help Stocks Bottom Line: BCA anticipates the dollar to be able to rise over the course of the next six to nine months, as U.S. rates are in favor of the greenback and domestic growth outperformance will continue to favor inflows into the U.S. This bullish view on the U.S. dollar currently does not constitute a reason to downgrade stocks to underweight. In fact, at this stage of the cycle, U.S. stocks and the dollar tend to rise in unison. However, since the quality of the equity gains is likely to deteriorate as equity volatility is on an uptrend, BCA prefers to maintain a neutral cyclical stance on equities within a balanced portfolio rather than an overweight stance. Mathieu Savary, Vice President Foreign Exchange Strategy mathieu@bcaresearch.com 1 Please see U.S. Equity Sector Strategy Insight Report, titled "Can the S&P 500 Continue Rising Alongside the U.S. Dollar?", dated October 13, 2016, available at uses.bcaresearch.com 2 Please see Foreign Exchange Strategy Weekly Report, titled "This Time Is NOT Different," dated May 25 2018, available at fes.bcaresearch.com 3 Please see Foreign Exchange Strategy Weekly Report, titled "Twin Deficits: Bearish Or Not, The Fed Holds The Trump Card," dated February 23 2018, available at fes.bcaresearch.com 4 Please see The Bank Credit Analyst Special Report, titled "U.S. Fiscal Policy: An Unprecedented Macro Experiment," dated June 28, 2018 available at bcaresearch.com.

  Overweight (High Conviction) Our attention in the last several months has been focused on rising trade tensions and the threat they present to our bullish cyclical equity bent. One sector that has seen a particular increase in volatility resulting from the swinging trade sentiment is the S&P air freight index; the most recent iteration of positive news on trade has seen the index recover all of the losses it had suffered earlier this year. On the operating front, demand has been exceptionally strong, particularly from online sales as evidenced by the eye-popping results issued by Walmart and Amazon. This has kept industry pricing power in a solid uptrend, implying margins that can withstand the rising cost of fuel. Still, valuations have trailed earnings growth and the S&P air freight index is close to its cheapest relative value in a decade. We think this is unlikely to persist; we reiterate our high-conviction overweight recommendation. The ticker symbols for the stocks in this index are: BLBG: S5AIRF - UPS, FDX, CHRW, EXPD.  

  Neutral U.S retailers have been surging recently as customers have been piling in faster than they have in a long time. Walmart reported results last week showing a 4.5% increase in same-store sales and a 40% increase in online sales; the stock responded by rising more than 9%. Target too reported exceptional results with the CEO commenting that the consumer environment was the strongest he had seen in his career. Overall, things are looking up for retailers as the consumer has been spending at an expanding pace for several years. Considering the savings rate remains elevated (second panel), the consumer probably has significant dry powder to maintain the trend. However, we remain nervous about margins; transportation costs are clearly rising and an economy at full capacity means increasing employment costs, which tend to hurt retailers earlier than most other sectors. This likely underlies why S&P hypermarkets EPS has fallen further behind the broad market (bottom panel). Tack on much higher volatility in Walmart's share price as investors whipsaw the stock based on the online sales performance and we see strong rationale to remain on the sidelines; stay neutral. The ticker symbols for the stocks in this index are: BLBG: S5HYPC - WMT, COST.    

Highlights Lesson 1: Inflation is a non-linear phenomenon. Lesson 2: Beware government interference in monetary policy. Lesson 3: An emerging markets shock is deflationary for developed markets. Lesson 4: The 'Rule of 4' for equities and bonds. Feature We took a much needed holiday last week, hoping that financial markets would enter a midsummer slumber. Our hopes were dashed. The timing of the Turkish lira crisis reminded us of the old adage: time, tide - and financial markets - wait for no man. But on reflection, our summer holiday gave us the time for some, well... reflection: a precious quality in a world that is rapidly neglecting the value of reasoned analysis. The addiction to minute-by-minute commentary and knee-jerk reaction - epitomised by the Twitterati - means that we are 'thinking fast', when we should be 'thinking slow'. So here, after some reflection, are four long-term lessons from the Turkish lira crisis. Lesson 1: Inflation Is A Non-Linear Phenomenon. Turkey's recent experience clearly demonstrates that inflation is non-linear - meaning that inflation doesn't move in a gradual or controlled fashion. Non-linear phenomena experience sudden and explosive phase-shifts (Chart I-2). In Turkey's case, a major cause of its currency crisis was that inflation recently phase-shifted out of a well-established channel to its current 16 percent rate (Chart of the Week). Chart of the WeekTurkish Inflation Experienced A Non-Linearity Chart I-2Inflation Can Experience A Phase-Shift People struggle with the concept of non-linearity because the vast majority of our day to day experiences are linear, meaning the output is proportionate to the input. The speed of our car depends linearly on the pressure on the accelerator pedal; the temperature in our home depends linearly on the thermostat setting; the volume of music in our headphones depends linearly on the volume setting; and so on. Likewise, the vast majority of economic models - including the infamous DSGE inflation models used by central banks - assume linear relationships.1 But some phenomena are non-linear. An example you might relate to is trying to get a small amount of tomato ketchup out of crusted-over squeezy bottle. It is impossible. You squeeze and no ketchup comes out; you squeeze harder and still nothing comes out; and then suddenly you get the explosive phase-shift: the entire bottle empties on your plate! Inflation also experiences violent phase-shifts. The main reason is that people cannot perceive small changes in inflation, making inflation expectations very sticky, which is to say non-linear. The Turkish people might not perceive inflation rising from 8 percent to 10 percent, but they would certainly perceive it rising to 16 percent. Hence, as policymakers squeeze the ketchup bottle, nothing happens at first. But at a tipping point, the self-reinforcement of inflation expectations becomes explosive. Whereupon, the whole bottle comes out. The broad money supply, M, gaps up because it becomes rational for banks to lend as much as possible. And its velocity, V, also gaps up because it becomes rational to spend the money - both newly created and pre-existing balances - as quickly as possible (Chart I-3-Chart I-6). So the product MV, which equals nominal GDP, experiences an even sharper non-linearity. Chart I-3The Velocity Of Money... Chart I-4...Is A Non-Linear Phenomenon Chart I-5The Money Multiplier... Chart I-6...Is A Non-Linear Phenomenon This begs the question: when should we worry about a sudden phase-shift in developed market inflation rates? The answer comes from Lesson 2. Lesson 2: Beware Government Interference In Monetary Policy. An economy's broad money supply, M, is dominated by loans. So to expand the broad money supply, somebody has to borrow money. This means that the danger of an inflation phase-shift rises sharply if the government can borrow and spend money at will, with the central bank creating it.2 Over the past few centuries, the British government - by periodically leaving the gold standard - did exactly this to pay for the Napoleonic Wars, the Crimean War and the First World War (Chart I-7). Chart I-7The British Government Created Inflation To Pay For Wars Which answers the question of when to worry. The government has to get into cahoots with the central bank. In other words, the central bank loses its independence and fiscal policy has the scope to become ultra-loose. This describes the situation in Turkey, where President Erdogan has forced the central bank to suppress interest rates, while putting his son-in-law in charge of the Turkish treasury. Could something similar happen in developed economies? President Trump's fiscal stimulus combined with his recent attempt to influence Federal Reserve policy (to more dovish) is a small step in this direction. Nevertheless, the major developed market central banks are on a hawkish path. They are squeezing less on the ketchup bottle. Therefore, the real risk of a phase-shift in developed market inflation will arise not before the next global downturn, but after it - when desperate policymakers might resort to desperate measures. In the near term, we expect developed market inflation to remain contained, and one supporting reason comes from Lesson 3. Lesson 3: An Emerging Markets Shock Is Deflationary For Developed Markets. The slowdown and recent shock in emerging markets has caused the dollar and yen to surge. Even the euro - on a broad trade-weighted basis - has held up very well through the Turkish lira crisis and is up 2 percent in 2018 (Chart I-8). Chart I-8An EM Shock Boosts DM Currencies... Meanwhile, since May, industrial metal prices have plunged 20 percent (Chart I-9) and even the crude oil price is down by 10 percent. Chart I-9...And Depresses Industrial Commodity Prices An emerging market shock also threatens the developed market banking system by impairing its foreign loans. Thereby, it risks stifling domestic credit creation. The combination of stronger currencies, lower commodity prices, and potentially weaker bank credit creation is a disinflationary headwind for developed markets in the near term. Lesson 4: The 'Rule of 4' For Equities And Bonds. If developed market inflation remains contained in the near term, it should also keep a lid on bond yields. This is significant because our non-consensus call is that the main threat to developed market risk-assets comes not from trade wars and/or a global economic slowdown; it comes from rich valuations which will become dangerously unstable if bond yields march much higher. The bond yield that matters is the global long bond yield. Effectively, this is the weighted average of its three main components: the 10-year yields on the U.S. T-bond, the German bund and the Japanese government bond (JGB). But for a useful rule of thumb, just sum the three yields. A sum above 4 - which broadly equates to the global 10-year yield rising above 2 percent - means it is time to go underweight equities. A sum between 3.5 and 4 means a neutral stance to equities. A sum well below 3.5 means an overweight stance to equities - because it would justify even richer valuations. Investment Recommendations Asset allocation: Our 'rule of 4' sum now stands at 3.3, indicating a close to neutral stance to equities. For bonds, we have since May recommended an overweight position in a portfolio of high-quality government 30-year bonds. The recommendation is performing well, and it is appropriate to stick with it for the time being. Sector allocation: Stay overweight the classical defensives versus the classical cyclicals: materials, industrials and banks. This recommendation has fared spectacularly well. Healthcare has outperformed banks by 20 percent since February, so the pressing question is: when to take profits? We anticipate at some point in the fourth quarter. Within the cyclical sectors, prefer banks over oil and gas. Regional and country equity allocation: the geographical allocation of equities follows directly from the sector allocation. Our preferred ranking of sectors necessarily means that our preferred ranking of major equity markets is: S&P500 first, Eurostoxx50 and Nikkei225 second (tied), FTSE100 third. Again, this recommendation has performed extremely well. Currency allocation: Since February, our main currency recommendations have been short EUR/JPY, long EUR/USD, and long EUR/CNY. In effect the recommendations reduce to: long JPY/USD and long EUR/CNY, and this combination has proved to be an excellent 'all-weather' position (Chart I-10). Stick with it for the time being. Chart I-10Long JPY/USD And EUR/CNY Has Been##br## A Good 'All-Weather Combination' Finally, our long-standing short Turkish lira versus South African rand position has returned a mouth-watering 73 percent in four years.3 It is time to close the short Turkish lira position and bank the profits. Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com 1 Dynamic Stochastic General Equilibrium models. 2 For example, by giving all public sector workers a 50% pay rise! 3 After the cost of carry, based on interest rate differentials. Fractal Trading Model* Market reaction to the Turkish lira crisis caused our two most recent trades to hit their stop-losses, but it has also created new opportunities. The aggressive sell-off in industrial commodities appears technically extended. So this week's recommended trade is an intra-cyclical equity sector pair-trade: long global basic resources, short global chemicals. The profit target is 3.5% with a symmetric stop-loss. For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment's fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. Chart I-11 The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions. * For more details please see the European Investment Strategy Special Report "Fractals, Liquidity & A Trading Model," dated December 11, 2014, available at eis.bcaresearch.com Fractal Trading Model Recommendations Equities Bond & Interest Rates Currency & Other Positions Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations

Highlights Just to be clear: The balance of price risks in oil markets remains to the upside - particularly if we see a supply shock resulting from the loss of as much as 2mm b/d of exports from Iran and Venezuela. Neither the supply side nor the demand side in base metals evidence outsized risks, which keeps us neutral ... for now. Still, downside risks for commodities - mostly via threats to trade - loom. In line with our House view, we believe markets are too complacent re the effects of a global trade war.1 However, focusing only on the trade war obscures growing risks to EM imports and exports arising from the Fed's rates-normalization policy, which is pushing the USD higher. A strong USD retards EM trade growth, which is particularly bearish for metals and oil (Chart of the Week). Chart of the WeekStronger USD, Slower EM Import Growth##BR##Bearish For Base Metals And Oil An oil-supply shock taking prices above $120/bbl, as one of our scenarios does, would generate a short-term inflationary impulse, and would depress aggregate demand, particularly in EM. Ultimately, it would become a deflationary impulse, as higher energy prices consume a larger share of discretionary incomes, and slow growth. A slowdown in EM trade on the back of a strong USD also would generate a deflationary impulse, as EM income growth slows and aggregate demand falls. Either way, the Fed's rates-normalization policy will be put on hold as current inflation risks morph to deflation risks, if the downside becomes dominant. Highlights Energy: Overweight. The U.S. Strategic Petroleum Reserve (SPR) will release 11mm of oil from its reserves in the October - November period, to allay concerns over the likely loss of 1mm b/d of Iranian exports to U.S. sanctions. We've been expecting this ahead of U.S. mid-term elections, but don't think it will fill the gap in lost exports. Base Metals: Neutral. Union and management leaders at BHP's Escondida mine in Chile averted a strike, after agreeing a contract at the end of last week. Precious Metals: Neutral. Gold rallied more than $35/oz off its lows of last week, as markets took notice of record speculative short positioning, which many view as a bullish contrary indicator. Gold was trading to $1195/oz as we went to press. Ags/Softs: Underweight. The USDA is expected to roll out a $12 billion relief package for farmers on Friday, which includes direct purchases of commodities that were not exported due to tariffs, according to agriculture.com's Successful Farming publication. Feature Overall, the balance of price risks in the industrial commodities are neutral (in base metals) and to the upside (in oil). In the base metals, we think fear of a Sino - U.S. trade war has market participants jittery, and may be getting to the point where it is starting to affect expectations for capex and investment on the production side, and growth on the demand side. Given our expectation EM trade will hold up this year (Chart 2), we continue to expect base metals demand to remain fairly stable, and perhaps pick up as China rolls out modest stimulus measures later this year.2 Chart 2USD Strength Slows EM Trade Growth We remain bullish oil demand - expecting growth of ~ 1.6mm b/d on average in 2018 - 19, and continue to expect a supply deficit next year, which will push Brent prices from $70/bbl on average in 2H18 to $80/bbl next year.3 However, if we see continued strength in the USD beginning to degrade actual EM demand, we will be forced to revise our assessment. Downside Risks To Metals And Oil Loom As mentioned above, we are aligned with our House view, and believe markets are all but ignoring the risk of an all-out trade war, spreading from the well-covered Sino - U.S. standoff to the broader global economy. The global economy already appears to be registering the first signs of a trade slowdown, according to the World Bank's July 2018 global outlook, where it observes "softening demand for imports in advanced economies - with the exception of the United States - and weaker exports from Asia."4 We also are picking it up in our modeling (Chart 2). The Bank also notes the slowdown in trade "is accompanied by rising barriers to trade, moderating growth in China, higher energy prices, and elevated policy uncertainty." A prolonged trade war that spreads globally would be especially devastating to EM economies, as two-thirds of them are commodity exporters of one sort or another.5 Fed Policy Is An EM Growth Risk As important as a trade war is for global growth, focusing too heavily on it obscures growing risks to EM imports and exports arising from the Fed's rates-normalization policy, which is pushing the USD higher. Table 1USD Vs. Fed Policy Variables Per the Richmond Fed's Summary, the Fed is charged by Congress to "promote effectively the goals of maximum employment, stable prices, and moderate long term interest rates."6 One of the models we use to forecast the broad trade-weighted USD is a Fed policy-variables model, which uses lagged U.S. nonfarm payrolls, core PCEPI (the Fed's preferred measure), U.S. 10-year real rates, and U.S. short-term real-rate differentials vs. DM rates as proxies for these policy goals. We throw lagged copper futures prices in to pick up current industrial activity, as well (Table 1). This model highlights the long-term equilibrium between the USD TWIB and the Fed's policy variables going back to 2000.7 We average the output of the policy-variables model with four other models using close-to-real-time variables, and some other proxies for the Fed's policy variables to generate our forecast (Chart 3). Chart 3BCA USD TWIB Forecast The USD TWIB and EM trade volumes form a cointegrated system, as shown in Chart 2. Based on our modeling, we expect EM trade to hold up reasonably well over the next year, with y/y growth remaining positive most of the time. But, as close inspection of the chart reveals, the rate of p.a. growth is slowing as a result of the Fed's rates-normalization policy. This means the rate of growth in EM demand for base metals and oil will slow, although the level of demand will remain high following 20 years of solid growth.8 As a House, we expect the USD TWIB to rise another 5% over the next year, which, given the elasticities in our model, would translate into more than 10% declines in copper and Brent prices, all else equal. The Oil Wildcard As regular readers of this service know, we do not believe "all else equal" applies to commodity markets, particularly oil. We have been highlighting the risks of a confluence of negative supply shocks for months - i.e., the loss of up to 2mm b/d of oil exports from Iran and Venezuela - and the implications of this for prices (Chart 4). This is apparent in our ensemble forecasts, which reflect the physical deficit we expect to the end of 2019 (Chart 5). Chart 4U.S. SPR Release Doesn't Cover Lost Iranian Exports The U.S. government has taken notice of these risks. However, we believe this week's announcement by the Trump administration to release 11mm barrels of crude oil from the U.S. SPR over the October - November period might hold gasoline prices down ahead of the U.S. midterms, but will do next to nothing to make up for the lost export volumes we are expecting in 2019 (Chart 4). Chart 5BCA Continues To Expect Physical Deficits An oil-supply shock taking prices above $120/bbl - the projection from one of our scenarios in Chart 4 - would generate a short-term inflationary impulse in U.S. data the Fed follows. This would depress aggregate demand, particularly in EM, as oil is priced in USD. The Fed likely looks through this spike, but, should it misread the inflation impulse and tighten more aggressively, it would be delivering a double-whammy to EM economies: Higher oil prices and a stronger USD. Many EM governments have relaxed or removed subsidies on fuel prices following the 2015 collapse in oil prices engineered by OPEC. While some governments may re-introduce subsidies, not all will cover all of the price increase in such a shock.9 So, even if some subsidies are re-introduced, a price spike likely would hit EM consumers harder than previous high-price epochs. There is a non-trivial likelihood such an oil-price spike would trigger a recession in the U.S. - and likely in DM and EM economies - per Hamilton's (2011) analysis.10 This would force the Fed to change course and resume its accommodative policies. Ultimately, this would become a global deflationary impulse, as higher energy prices erode discretionary incomes, and slow growth. Bottom Line: An oil-supply shock and slower EM trade growth on the back of a strong USD ultimately produce deflationary impulses. Either way, Fed rates-normalization policy will be put on hold if these downside risks become the dominant theme in industrial commodity markets, and the current inflation risks morph to deflation risks. Robert P. Ryan, Senior Vice President Commodity & Energy Strategy rryan@bcaresearch.com Hugo Bélanger, Senior Analyst Commodity & Energy Strategy HugoB@bcaresearch.com 1 Please see BCA Research's Global Investment Strategy Weekly Report "How To Trade A Trade War," published July 13, 2018. It is available at gis.bcaresearch.com. 2 BCA Research's Geopolitical Strategy is expecting policymakers to deploy modest fiscal stimulus and reflationary policies to counter growing threats from the country's trade war with the U.S. This will be supportive, at the margin, for bulks and base metals. Please see "China: How Stimulating Is The Stimulus?" published by our Geopolitical Strategy August 8, 2018. It is available at gps.bcaresearch.com. 3 Please see BCA Research's Commodity & Energy Strategy Weekly Report "OPEC 2.0 Sailing Close To The Wind," which contains our most recent supply-demand balances and forecasts. It was published August 16, 2018, and is available at ces.bcaresearch.com. 4 Please see The World Bank's Global Monthly, July 2018, p. 2. 5 Please see remarks by World Bank Senior Director for Development Economics, Shantayanan Devarajan, who notes, "two-thirds of developing countries ... depend on commodity exports for revenues." His remarks are in "Global Economy to Expand by 3.1 percent in 2018, Slower Growth Seen Ahead," World Bank press release on June 5, 2018. 6 Please see Steelman, Aaron (2011), "The Federal Reserve's "Dual Mandate": The Evolution Of An Idea," published on the Federal Reserve Bank of Richmond's website. 7 We use a cointegration model to estimate these policy-driven regressions. The output is stout (R2 is greater than 0.95), and it has good out-of-sample results. We use a weighted-average of the five forecasts based on root-mean-square-errors to come up with our USD_TWIB forecast. 8 The World Bank estimates the seven largest EM economies - Brazil, China, India, Indonesia, Mexico, the Russian Federation, and Turkey - accounted for ~ 100% of the increase in metals consumption and close to 70% of the increase in energy demand over the past 20 years. Please see "The Role of Major Emerging Markets In Global Commodity Demand," in the Bank's June 2018 Global Economics Prospects, beginning on p. 61. 9 Please see BCA's Commodity & Energy Strategy Weekly Report, "OPEC 2.0 Scrambles To Reassure Markets," published June 28, 2018. It is available at ces.bcaresearch.com. 10 For an excellent discussion of the correlation between oil-price shocks and recessions, please see Hamilton, James D. (2011), "Historical Oil Shocks," Prepared for the Handbook of Major Events in Economic History. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Trades Closed in 2018 Summary of Trades Closed in 2017