アメリカ合衆国

Underweight We downgraded homebuilders to underweight in late-October, and we are adding it to our high-conviction underweight call list. Most, if not all, positive profit drivers are already reflected in relative share prices. Specifically, the drubbing in interest rates has been more than accounted for by the year-to-date outperformance in homebuilders. Now that interest rates are moving in reverse, more pain lies ahead for the S&P homebuilding index. Worrisomely, consumers’ expectations to purchase a new home plunged anew last month according to The Conference Board’s survey, and that demand softness will weigh on housing starts and ultimately homebuilding revenues. Adding insult to injury, new house selling prices are losing ground to existing home prices, but such discounting is no longer boosting volumes as new home sales market share gains have stalled. Already, S&P homebuilding sales are contracting and the risk is that deflation gets entrenched in this construction industry. Simultaneously, lumber prices are gaining steam and coupled with contracting new home prices signal that homebuilding profits will suffer a setback. The ticker symbols for the stocks in this index are: BLBG – S5HOME – DHI, LEN, PHM, NVR. ​​​​​​​

Highlights Structurally overweight US T-bonds versus core European bonds. Our preferred expression is long T-bonds versus Swiss bonds. US yields can fall a lot more than European yields, and European yields can rise a lot more than US yields. Structurally underweight the overvalued dollar versus undervalued European currencies. Our preferred expression is long SEK/USD. Structurally underweight price-sensitive European export sectors. Undervalued European currencies cannot fall much further, and those European exporters that depend on price competitiveness will struggle to outperform. But structurally overweight soft luxuries. Despite President Trump’s threat to tariff French products, soft luxuries retain very strong pricing power and sustainable long term demand growth from rising female labour participation rates globally. Fractal trade: The 65-day fractal structure of global equities suggests that they are vulnerable to a near-term countertrend move. Feature Chart of the WeekLike-For-Like, Structural Inflation Is Lower In the US Than In Europe A seemingly trivial disagreement between Europeans and Americans on how to measure inflation turns out to be the culprit for three major distortions in the world right now: Deeply divergent monetary policies across the developed economies. Huge valuation anomalies in the foreign exchange markets. President Trump’s threat of a trade war to counter the huge trade surpluses that Europe and China are running against the US. The inflation measurement disagreement wouldn’t really matter if inflation were running in the mid-single digits. But when inflation is near zero, the seemingly trivial difference in inflation measurement methodologies has ended up generating massive distortions. European And American Inflation Are Not The Same European inflation excludes the maintenance and upkeep costs associated with owning your home, whereas US inflation includes these costs at a hefty 25 percent weighting, making owner occupied housing by far the largest single item in the US inflation basket. By omitting the largest item in the US inflation basket, European inflation is subtly yet crucially different to American inflation. The European statisticians argue that unlike all the other items in the inflation basket, there is no independent market price for the ongoing cost of home ownership, and therefore this cost should be excluded. The American statisticians argue that the ongoing cost of home ownership is the single largest expense for most people and, as such, it should be ‘imputed’ from a concept known as ‘owner equivalent rent’ – essentially, asking homeowners how much it would cost to rent their own home. Different definitions of inflation will trigger very different policy responses from central banks. Both the European and American approaches have their merits and drawbacks, and it is not our intention to endorse one approach over the other. Our intention is simply to point out that the two approaches can give very different results for inflation – and therefore trigger very different policy responses from inflation-targeting central banks, with their consequent economic and political repercussions. If Americans used the European definition of inflation, then headline inflation in the US today would be running at the same sub-par rate as in the euro area, 1 percent, and well below the Fed’s 2 percent target (Chart I-2 and Chart I-3). More important, the five year annualised rate of inflation – let’s call it US structural inflation – would have been stuck below 1 percent since 2016 (Chart I-1 and Chart I-4). Under these circumstances, it would have been impossible for the Fed to hike the funds rate eight times, as it did through 2017-18. Chart I-2Like-For-Like, Headline Inflation Is Identical In The US And The Euro Area... Chart I-3...And Core Inflation Is ##br##Very Similar   Chart I-4Using The European Definition Of Inflation, The Fed Couldn't Have Hiked Rates Instead, what if Europeans used the American definition of inflation? European inflation does not include owner equivalent rent, but it does include housing rent for those that do rent their homes. In the US, these two items tend to move in lockstep (Chart I-5). If we assume the same for Europe, we can deduce that a US type weighting for owner equivalent rent would have boosted the headline inflation rate in the euro area by 0.3-0.4 percent through 2014-16, and by a possible 0.5 percent in Sweden through 2013-15 (Chart I-6 and Chart I-7). Under these circumstances, it would have been very difficult for the ECB and Riksbank to take and maintain policy rates deeply in negative territory, as they did through 2015-19. Chart I-5Owner Equivalent Rent Tracks ##br##Housing Rent Chart I-6Using The American Definition Of inflation, Euro Area Inflation Would Have Been Higher... Chart I-7...And Swedish Inflation Would Have Been Much Higher The Different Definitions Of Inflation Have Created Dangerous Distortions If Europeans and Americans were using the same definition of inflation then, one way or the other, their monetary policies would not be as deeply divergent as they are now. One important implication is that European currencies would not be as undervalued as they are now. If Europeans and Americans were using the same definition of inflation then their monetary policies would not be as deeply divergent as they are now.  Based on the ECB’s own analysis, the euro area is over-competitive versus its top 19 trading partners – meaning the euro is undervalued – by at least 10 percent. Moreover, the ECB admits that this sizable undervaluation only appeared after the ECB and Fed started taking their monetary policies in opposite directions in 2015 (Chart I-8). Chart I-8The Euro Is Undervalued By More Than 10 Percent Put the other way, the dollar would not be as overvalued as it is now. In turn, the stronger dollar has created its own dangerous spill-overs. As we explained last week in The Hidden Sales Recession Of 2015… And Why It Matters Now, the surging dollar in 2015 could not have come at a worse time for China. Given that the Chinese economy was already slowing sharply, and the yuan was pegged to the dollar, the resulting loss of Chinese competitiveness just exacerbated the slump. Forcing China to loosen the dollar peg in August 2015. All of which brings us neatly to the hot topic of 2019, and likely 2020 too – President Trump’s threat of a trade war to counter the huge trade imbalances that Europe and China are running against the US. As it happens, President Trump has a good point. Trade wars almost always stem from trade imbalances; and trade imbalances almost always stem from exchange rate manipulations or, at least, exchange rate distortions that advantage one economy to the detriment of another. The euro's undervaluation only happened after monetary policies diverged in 2015. Most of the euro area’s €150 billion trade surplus with the US appeared after 2015, so it cannot be a structural issue. In fact, the evolution of the trade imbalance has tracked relative monetary policy between the Fed and ECB almost tick for tick (Chart I-9), via the exchange rate channel and the over-competitiveness of the euro which the ECB fully admits. Chart I-9Excessively Divergent Monetary Policies Caused The Euro Area's Huge Trade Surplus With The US Of course, neither the ECB nor the Fed are deliberately targeting trade or the exchange rate; they are targeting inflation. But to repeat, they are targeting different definitions of inflation. Crucially, with a backdrop of near zero inflation, small definitional differences in inflation can generate huge economic and financial distortions, with dangerous political consequences. The Compelling Structural Opportunities The definitional difference between European and American inflation explain many of the economic and financial distortions we are witnessing now, as well as the dangerous political consequences. The main counterargument is that the inflation definitions are what they are; neither the ECB nor the Fed are likely to change them anytime soon. Nevertheless, there are compelling structural opportunities. Since 2015, American inflation has outperformed European inflation for one reason and one reason only: owner equivalent rents have surged by almost 20 percent relative to other prices (Chart I-10 and Chart I-11). The historic evidence suggests that such a pace of outperformance is unsustainable structurally and, absent this tailwind, US and European headline inflation rates have to converge, one way or the other. Chart I-10An Unsustainable Surge In US Owner Equivalent Rent... Chart I-11...Has Lifted US Headline ##br##Inflation In this inevitable convergence, the asymmetric starting point of bond yields favours a long US T-bonds, short core European bonds structural position. Because, if the inflation convergence is downwards, T-bond yields will fall much further than European yields; whereas if the inflation convergence is upwards, European yields will likely rise more than T-bond yields. Our preferred structural expression is: long US T-bonds, short Swiss bonds. For currencies it is the opposite message. The overvalued dollar is likely to underperform, at least versus other developed market currencies. Given that Swedish inflation has been the most understated by the exclusion of owner equivalent rents, combined with the Riksbank’s intention to exit negative interest rate policy imminently, our preferred structural expression is: long SEK/USD. American inflation has outperformed European inflation for one reason and one reason only: owner equivalent rents have surged by almost 20 percent relative to other prices. Lastly, European export growth – even in Germany – has been heavily reliant on a cheapening euro (Chart I-12). Undervalued European currencies cannot fall much further, and those European exporters that depend on price competitiveness will struggle to outperform. Even those multinationals that sell their products in dollars will lose out in the accounting translation back into a strengthening domestic currency. Hence, structurally underweight price-sensitive European export sectors. Chart I-12Without A Weaker Euro, Most European Exporters Will Struggle To Outperform The one exception to this is the soft luxuries sector. Despite President Trump’s threat to tariff French products, soft luxuries retain very strong pricing power and sustainable long term demand growth from rising female labour participation rates globally. Stay structurally overweight soft luxuries. Fractal Trading System* The 65-day fractal structure of global equities suggests that they are vulnerable to a near-term countertrend move. Accordingly, this week’s recommended trade is to short the MSCI All Country World versus the global 10-year bond (simple average of US, euro area, and China), setting a profit target and symmetrical stop-loss at 2.5 percent. In other trades, long NZD/JPY and long SEK/JPY both achieved their profit targets of 3 percent and 1.5 percent respectively. Against this, long Poland versus World reached its 4 percent stop-loss. The rolling 1-year win ratio now stands at 65 percent. Chart I-13MSCI All-Country World Vs. Global 10-Year Bond 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.   Dhaval Joshi Chief European Investment Strategist dhaval@bcaresearch.com Fractal Trading System   Cyclical Recommendations Structural Recommendations 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    

Overweight A tentative up-tick in EM data in general and China in particular along with improving operating metrics signal that the US/China trade war wounded machinery stocks deserve a high-conviction overweight status for 2020. In more detail, the budding recoveries in the EM and Chinese manufacturing PMIs herald a brighter outlook for relative share prices. China’s fiscal and credit impulse also signals that a bottom in relative share prices is likely already in place. If this leading indicator proves accurate in the coming months, then relative share prices can reclaim the early-2018 highs. On the operating front, the new orders-to-inventories momentum has traced a bottom. Assuming that the Chinese manufacturing PMI reading stays on an upward trajectory, machinery demand will make a durable comeback. None of these green shoots are reflected in sell-side analysts’ bombed out relative profit and sales growth expectations. The ticker symbols for the stocks in this index are: BLBG – S5MACH – CAT, DE, ITW, IR, CMI, PCAR, PH, SWK, FTV, DOV, XYL, IEX, WAB, SNA, PNR, FLS.  

Overweight We upgraded the S&P managed health care group to overweight in April shortly after Bernie Sanders re-introduced his revamped “Medicare For All” bill. Despite the recent explosive run up in relative share prices – partly owing to the drop in Elizabeth Warren’s odds of winning the Democratic candidacy and partly given her watering down of her “Medicare For All” take up plan – we are adding this health care sub-group to our high-conviction overweight call list. HMOs are finally raising prices at the steepest rate of the past fifteen years and while such breakneck pace is unsustainable, profit margins are set to expand smartly. The profit margin backdrop is enticing for health insurers for another reason: labor cost containment. CEOs have been extremely prudent refraining from adding to headcount. One final profit margin booster is the rising 10-year Treasury yield, as roughly 10% of the industry’s operating income is tied to “investment income”. In other words, as insurers receive the premia they typically invest it in Treasurys and that explains the high EPS and margin sensitivity on interest rate moves. Thus, if BCA’s bond view materializes, it will prove a tonic to both margins and profits. With regard to technicals, relative share prices are not as oversold as they were mid-year, but remain below the neutral zone still offering investors a compelling entry point to this position. The ticker symbols for the stocks in this index are: BLBG: S5MANH – UNH, ANTM, HUM, CNC, WCG. ​​​​​​​

Highlights Chart 1Manufacturing PMIs Track Bond Yields November’s manufacturing PMI data were released yesterday, giving us an update for two of our preferred global growth indicators: the Global Manufacturing PMI and the US ISM Manufacturing PMI (Chart 1). Unfortunately, the two indicators sent conflicting signals, providing us with very little clarity on the global growth outlook. On the positive side, the Global Manufacturing PMI jumped back above 50 for the first time since April. China is the largest weighting in the global index, and its PMI rose for the fifth consecutive month. Conversely, the US ISM Manufacturing PMI dipped further into contractionary territory in November – from 48.3 to 48.1. Optimistically, the index’s inventory component contracted by more than the new orders component, meaning that the difference between new orders and inventories rose to its highest level since May. The difference between new orders and inventories often leads the overall ISM index by several months. All in all, we continue to see tentative signs of stabilization in our preferred global growth indicators. But a more significant rebound will be necessary to push bond yields higher in the first half of next year, as we expect. Stay tuned. Investment Grade: Neutral Chart 2Investment Grade Market Overview Investment grade corporate bonds outperformed the duration-equivalent Treasury index by 63 basis points in November, bringing year-to-date excess returns up to +494 bps. We consider three main factors in our credit cycle analysis: (i) corporate balance sheet health, (ii) monetary conditions and (iii) valuation.1 On balance sheets, our top-down measure of gross leverage is high and rising (Chart 2). In contrast, interest coverage ratios remain solid, propped up by the Fed’s accommodative stance. With inflation expectations still depressed, the Fed can maintain its “easy money” policy for some time yet. The third quarter’s tightening of C&I lending standards is a concern, because it suggests that monetary conditions may not be sufficiently stimulative for banks to keep the credit taps running (bottom panel). But the yield curve, another indicator of monetary conditions, has steepened significantly since Q3, suggesting that lending standards will soon move back into “net easing” territory. For now, we see valuation as the main headwind for investment grade credit spreads. Spreads for all credit tiers are below our targets, with the Baa tier looking less expensive than the others (panels 2 & 3).2 As a result, we advise only a neutral allocation to investment grade corporate bonds, with a preference for the Baa credit tier. We also recommend increasing exposure to Agency MBS in place of corporate bonds rated A or higher (see page 7). Table 3ACorporate Sector Relative Valuation And Recommended Allocation* Table 3BCorporate Sector Risk Vs. Reward* High-Yield Overweight Chart 3High-Yield Market Overview High-Yield outperformed the duration-equivalent Treasury index by 47 basis points in November, bringing year-to-date excess returns up to +671 bps. The index option-adjusted spread tightened 22 bps on the month and currently sits at 370 bps, 131 bps above our target (Chart 3). Ba and B rated junk bonds outperformed the Treasury benchmark by 79 bps and 76 bps, respectively, in November. But Caa-rated credit underperformed Treasuries by 89 bps. This continues the trend of Caa underperformance that has been in place since late last year (panel 3). We analyzed the divergence between Caa and the rest of the junk bond universe in last week’s report and came to two conclusions.3 First, the historical data show that 12-month periods of overall junk bond outperformance are more likely to be followed by underperformance if Caa is the worst performing credit tier. Second, we can identify several reasons for this year’s Caa underperformance that make us inclined to downplay any potential negative signal. Specifically, we note that the Caa credit tier’s exposure to the shale oil sector is responsible for the bulk of this year’s underperformance (bottom panel). With elevated spreads, accommodative monetary conditions and a looming recovery in global economic growth, we expect junk spreads to tighten during the next 6-12 months.    MBS: Overweight Chart 4MBS Market Overview Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 19 basis points in November, bringing year-to-date excess returns up to +22 bps. The conventional 30-year zero-volatility spread tightened 3 bps on the month, as a 5 bps tightening of the option-adjusted spread (OAS) was offset by a 2 bps increase in expected prepayment losses (aka option cost). We recommend an overweight allocation to Agency MBS, particularly relative to corporate bonds rated A or higher, for three reasons.4 First, expected compensation is competitive. The conventional 30-year MBS OAS is now 50 bps (Chart 4). This is very close to its pre-crisis average and only 3 bps below the spread offered by Aa-rated corporate bonds (panel 4). Also, spreads for all investment grade corporate bond credit tiers trade below our targets. Second, risk-adjusted compensation heavily favors MBS. The Excess Return Bond Map in Appendix C shows that Agency MBS plot well to the right of investment grade corporates. This means that the sector is less likely to see losses versus Treasuries on a 12-month horizon. Finally, the macro environment for MBS remains supportive. Mortgage lending standards have barely eased since the financial crisis (bottom panel), and most homeowners have already had at least one opportunity to refinance their mortgages. This burnout will keep refi activity low, and MBS spreads tight (panel 2). Government-Related: Underweight Chart 5Government-Related Market Overview The Government-Related index outperformed the duration-equivalent Treasury index by 14 basis points in November, bringing year-to-date excess returns up to +197 bps. Sovereign debt outperformed duration-equivalent Treasuries by 36 bps on the month, bringing year-to-date excess returns up to +513 bps. Local Authorities outperformed the Treasury benchmark by 24 bps, bringing year-to-date excess returns up to +245 bps. Meanwhile, Foreign Agencies outperformed by 4 bps, bringing year-to-date excess returns up to +266 bps. Domestic Agencies outperformed by 11 bps in November, bringing year-to-date excess returns up to +51 bps. Supranationals outperformed by 5 bps on the month, bringing year-to-date excess returns up to +36 bps. We continue to recommend an underweight allocation to USD-denominated sovereign bonds, given that spreads remain expensive compared to US corporate credit (Chart 5). However, we noted in a recent report that Mexican and Saudi Arabian sovereigns look attractive on a risk/reward basis.5 This is also true for Foreign Agencies and Local Authorities, as shown in the Bond Map in Appendix C. Our Emerging Markets Strategy service also thinks that worries about Mexico’s fiscal position are overblown, and that bond yields embed too high of a risk premium (bottom panel).6 Municipal Bonds: Overweight Chart 6Municipal Market Overview Municipal bonds outperformed the duration-equivalent Treasury index by 70 basis points in November, bringing year-to-date excess returns up to +6bps (before adjusting for the tax advantage). The average Aaa-rated Municipal / Treasury (M/T) yield ratio fell 4% in November, and currently sits at 83% (Chart 6). We upgraded municipal bonds in early October, as yield ratios had become significantly more attractive, especially at the long-end of the Aaa curve (panel 2).7 Specifically, 2-year and 5-year M/T yield ratios are somewhat below average pre-crisis levels at 68% and 72%, respectively. However, M/T yield ratios for longer maturities (10 years and higher) are all above average pre-crisis levels. M/T yield ratios for 10-year, 20-year and 30-year maturities are 84%, 93% and 97%, respectively. Fundamentally, state & local government balance sheets remain solid. Our Municipal Health Monitor remains in “improving health” territory and state & local government interest coverage has improved considerably in recent quarters (bottom panel). Both of these trends are consistent with muni ratings upgrades continuing to outnumber downgrades going forward. Treasury Curve: Maintain A Barbell Curve Positioning Chart 7Treasury Yield Curve Overview The Treasury curve shifted higher in November, steepening out to the 7-year maturity and flattening beyond that. The 2/10 Treasury slope was unchanged on the month. It currently sits at 17 bps. The 5/30 slope flattened 7 bps to end the month at 59 bps (Chart 7). In a recent report we discussed the 6-12 month outlook for the 2/10 Treasury slope.8 We considered the main macro factors that influence the slope of the yield curve: Fed policy, wage growth, inflation expectations and the neutral fed funds rate. We concluded that the 2/10 slope has room to steepen during the next few months, as the Fed holds down the front-end of the curve in an effort to re-anchor inflation expectations. However, we see the 2/10 slope remaining in a range between 0 bps and 50 bps, owing to strong wage growth and downbeat neutral rate expectations. Despite the outlook for modest curve steepening, we continue to recommend holding a barbelled Treasury portfolio. Specifically, we favor holding a 2/30 barbell versus the 5-year bullet, in duration-matched terms. This position offers strong positive carry (bottom panel), due to the extreme overvaluation of the 5-year note, and looks attractive on our yield curve models (see Appendix B). TIPS: Overweight   Chart 8TIPS Market Overview TIPS outperformed the duration-equivalent nominal Treasury index by 47 basis points in November, bringing year-to-date excess returns up to -70 bps.The 10-year TIPS breakeven inflation rate rose 8 bps on the month and currently sits at 1.62%. The 5-year/5-year forward TIPS breakeven inflation rate rose 9 bps on the month and currently sits at 1.73%. Both rates remain well below the 2.3%-2.5% range consistent with the Fed’s target. The divergence between the actual inflation data and inflation expectations remains stark. Trimmed mean PCE inflation has been fluctuating around the Fed’s target for most of the year (Chart 8). However, long-maturity TIPS breakeven inflation rates remain stubbornly low. As we have pointed out in prior research, it can take time for expectations to adapt to a changing macro environment.9 That being said, the 10-year TIPS breakeven inflation rate is currently 29 bps too low according to our Adaptive Expectations Model, a model whose primary input is 10-year trailing core inflation (panel 4). It is highly likely that the Fed will have to tolerate some overshoot of its 2% inflation target in order to re-anchor inflation expectations near desired levels. We anticipate that the committee will do so, and maintain our view that long-dated TIPS breakevens will move above 2.3% before the end of the cycle. ABS: Underweight Asset-Backed Securities outperformed the duration-equivalent Treasury index by 7 basis points in November, bringing year-to-date excess returns up to +74 bps. Chart 9ABS Market Overview The index option-adjusted spread for Aaa-rated ABS widened 2 bps on the month. It currently sits at 34 bps; its minimum pre-crisis level (Chart 9). Our Excess Return Bond Map (see Appendix C) shows that Aaa-rated consumer ABS rank among the most defensive US spread products and also offer more expected return than other low-risk sectors such as Domestic Agency bonds and Supranationals. However, we remain wary of allocating too much to consumer ABS because credit trends continue to shift in the wrong direction. The consumer credit delinquency rate is still low, but has put in a clear bottom. The is true for the household interest expense ratio (panel 3). Senior Loan Officers also continue to tighten lending standards for both credit cards and auto loans. Tighter lending standards usually coincide with rising delinquencies (bottom panel). All in all, our favorable outlook for global growth causes us to shy away from defensive spread products, and deteriorating ABS credit metrics are also a cause for concern. Stay underweight. Non-Agency CMBS: Neutral Chart 10CMBS Market Overview Non-Agency Commercial Mortgage-Backed Securities underperformed the duration-equivalent Treasury index by 12 basis points in November, dragging year-to-date excess returns down to +221 bps. The index option-adjusted spread for non-agency Aaa-rated CMBS widened 1 bp on the month. It currently sits at 72 bps, below its average pre-crisis level but somewhat above levels seen in 2018 (Chart 10). The macro outlook for commercial real estate (CRE) is somewhat unfavorable, with lenders tightening loan standards (panel 4) in an environment of tepid demand. The Fed’s Senior Loan Officer Survey shows that banks saw slightly stronger demand for nonfarm nonresidential CRE loans in Q3, after four consecutive quarters of falling demand (bottom panel). CRE prices are still not keeping pace with CMBS spreads (panel 3). Despite the poor fundamental picture, our Excess Return Bond Map shows that CMBS offer a reasonably attractive risk/reward trade-off compared to other bond sectors (see Appendix C). Agency CMBS: Overweight Agency CMBS outperformed the duration-equivalent Treasury index by 7 basis points in November, bringing year-to-date excess returns up to +107 bps. The index option-adjusted spread tightened 2 bps on the month, and currently sits at 54 bps. The Excess Return Bond Map in Appendix C shows that Agency CMBS offer a compelling risk/reward trade-off. An overweight allocation to this high-rated sector remains appropriate. Appendix A: The Golden Rule Of Bond Investing We follow a two-step process to formulate recommendations for bond portfolio duration. First, we determine the change in the federal funds rate that is priced into the yield curve for the next 12 months. Second, we decide – based on our assessments of the economy and Fed policy – whether the change in the fed funds rate will exceed or fall short of what is priced into the curve. Most of the time, a correct answer to this question leads to the appropriate duration call. We call this framework the Golden Rule Of Bond Investing, and we demonstrated its effectiveness in the US Bond Strategy Special Report, “The Golden Rule Of Bond Investing”, dated July 24, 2018, available at usbs.bcaresearch.com. Chart 11 illustrates the Golden Rule’s track record by showing that the Bloomberg Barclays Treasury Master Index tends to outperform cash when rate hikes fall short of 12-month expectations, and vice-versa. Chart 11The Golden Rule's Track Record At present, the market is priced for 26 basis points of cuts during the next 12 months. We anticipate a flat fed funds rate over that time horizon, and therefore anticipate that below-benchmark portfolio duration positions will profit. We can also use our Golden Rule framework to make 12-month total return and excess return forecasts for the Bloomberg Barclays Treasury index under different scenarios for the fed funds rate. Excess returns are relative to the Bloomberg Barclays Cash index.   To forecast total returns we first calculate the 12-month fed funds rate surprise in each scenario by comparing the assumed change in the fed funds rate to the current value of our 12-month discounter. This rate hike surprise is then mapped to an expected change in the Treasury index yield using a regression based on the historical relationship between those two variables. Finally, we apply the expected change in index yield to the current characteristics (yield, duration and convexity) of the Treasury index to estimate total returns on a 12-month horizon. The below tables present those results, along with 95% confidence intervals. Excess returns are calculated by subtracting assumed cash returns in each scenario from our total return projections. Appendix B: Butterfly Strategy Valuations The following tables present the current read-outs from our butterfly spread models. We use these models to identify opportunities to take duration-neutral positions across the Treasury curve. The following two Special Reports explain the models in more detail: US Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com US Bond Strategy Special Report, “More Bullets, Barbells And Butterflies”, dated May 15, 2018, available at usbs.bcaresearch.com Table 4 shows the raw residuals from each model. A positive value indicates that the bullet is cheap relative to the duration-matched barbell. A negative value indicates that the barbell is cheap relative to the bullet. Table 4Butterfly Strategy Valuation: Raw Residuals In Basis Points (As Of November 29 2019) Table 5 scales the raw residuals in Table 4 by their historical means and standard deviations. This facilitates comparison between the different butterfly spreads. Table 5Butterfly Strategy Valuation: Standardized Residuals (As Of November 29, 2019) Table 6 flips the models on their heads. It shows the change in the slope between the two barbell maturities that must be realized during the next six months to make returns between the bullet and barbell equal. For example, a reading of 45 bps in the 5 over 2/10 cell means that we would only expect the 5-year to outperform the 2/10 if the 2/10 slope steepens by more than 45 bps during the next six months. Otherwise, we would expect the 2/10 barbell to outperform the 5-year bullet. Table 6Discounted Slope Change During Next 6 Months (BPs) Appendix C: Excess Return Bond Map The Excess Return Bond Map is used to assess the relative risk/reward trade-off between different sectors of the US bond market. It is a purely computational exercise and does not impose any macroeconomic view. The Map’s vertical axis shows 12-month expected excess returns. These are proxied by each sector’s option-adjusted spread. Sectors plotting further toward the top of the Map have higher expected returns and vice-versa. Our novel risk measure called the “Risk Of Losing 100 bps” is shown on the Map’s horizontal axis. To calculate it, we first compute the spread widening required on a 12-month horizon for each sector to lose 100 bps or more relative to a duration-matched position in Treasury securities. Then, we divide that amount of spread widening by each sector’s historical spread volatility. The end result is the number of standard deviations of 12-month spread widening required for each sector to lose 100 bps or more versus a position in Treasuries. Lower risk sectors plot further to the right of the Map, and higher risk sectors plot further to the left. Chart 12Excess Return Bond Map (As Of November 29, 2019) Ryan Swift US Bond Strategist rswift@bcaresearch.com Footnotes 1  Please see US Bond Strategy Weekly Report, “Corporate Bond Investors Should Not Fight The Fed”, dated September 17, 2019, available at usbs.bcaresearch.com 2   For details on how we arrive at our spread targets please see US Bond Strategy Weekly Report, “The Value In Corporate Bonds”, dated February 19, 2019, available at usbs.bcaresearch.com 3  Please see US Bond Strategy Weekly Report, “Caa-Rated Bonds: Warning Sign Or Buying Opportunity?”, dated November 26, 2019, available at usbs.bcaresearch.com 4  Please see US Bond Strategy Weekly Report, “Two Themes And Two Trades”, dated October 1, 2019, available at usbs.bcaresearch.com 5  Please see US Bond Strategy Weekly Report, “A Perspective On Risk And Reward”, dated October 15, 2019, available at usbs.bcaresearch.com 6  Please see Emerging Markets Strategy Weekly Report, “Country Insights: Malaysia, Mexico & Central Europe”, dated October 31, 2019, available at ems.bcaresearch.com 7  Please see US Bond Strategy Weekly Report, “Two Themes And Two Trades”, dated October 1, 2019, available at usbs.bcaresearch.com 8  Please see US Bond Strategy Weekly Report, “Position For Modest Curve Steepening”, dated October 29, 2019, available at usbs.bcaresearch.com 9  Please see US Bond Strategy Weekly Report, “Adaptive Expectations In The TIPS Market”, dated November 20, 2018, available at usbs.bcaresearch.com   Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation