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Highlights Dear Client, The growth of the electric-vehicle market, particularly re its implications for hydrocarbons as the primary transportation fuel in the world, will remain a key issue for energy markets, particularly oil. The IEA estimates transportation accounted for 64.5% of oil demand in 2014, the latest data available, compared to natural gas's 7% share and electricity's 1.5% share.1 Last week, Fitch Ratings published a report concluding, "Widespread adoption of battery-powered vehicles is a serious threat to the oil industry." For example, the agency contends that "in an extreme scenario, where electric cars gained a 50 per cent market share over 10 years about a quarter of European gasoline demand could disappear." This is not a widespread view in the energy markets. IHS Energy published a report in 2014 finding, "Past energy transitions took decades to unfold and were driven by a combination of market factors: cost, scarcity of supply, utility and flexibility, technology development, geopolitical developments, consumer trends, and policy.2" While our view is more aligned with IHS's, it is undeniable electric vehicles are a growing market. For this reason, we are publishing an analysis by BCA Research's EM Equity Sector Strategy written by our colleague Oleg Babanov, which explores the lithium-battery supply chain and how investors can gain exposure to this critical element of the fast-growing global electric-vehicle market. Separately, we are downgrading our strategic zinc view from neutral to bearish, and recommending a Dec/17 short if it rallies. Robert P. Ryan Senior Vice President, Commodity & Energy Strategy Lithium is a rare metal with a costly production process and a high concentration in a small number of countries. Difficulty in production is comparable to deep-sea oil drilling. Lithium is the key element in lithium-ion batteries. Demand is rapidly increasing as more countries adopt environment-protection policies and electric-car production is on the rise. We recommend an overweight on the lithium battery supply chain (Table 1), on a long-term perspective (one year plus). We estimate demand for the raw material to rise by approximately 30% over the coming years, driven by the main electric vehicle production clusters in Asia and the U.S. Table 1Single Stock Statistics For Companies##br## In The Lithium Battery Supply Chain (Oct 2016)* What Is Powering Your Battery? Being a relatively rare and difficult to produce metal, lithium demand is rapidly increasing due to the metal's unique physical characteristics, which are utilized in long-life or rechargeable batteries. Rapidly rising demand from portable electronics manufacturers, and the push of the auto industry to develop new fuel-efficient technology, backed by the widespread support of many governments to reduce transportation costs and improve CO2 emissions, are driving prices for the metal higher. We believe that companies in the electric vehicle (EV) supply chain, from miners to battery producers and down to EV manufacturers, will benefit from the change in environmental policies and the growing need for more portable devices with larger energy storage. As the focus of the wider investment community remains tilted towards the U.S. (and Tesla in particular), many companies in the lithium battery supply chain, as well as EV producers, remain overlooked and undervalued. EV Production Expected To Surge We expect a continuation of the push towards energy-saving vehicles among car manufacturers, driven by government incentives and new tougher regulations (EU regulations for CO2 emissions in 2020 will be the strictest so far). Over one million EV vehicles of different types were sold in 2015. In countries such as Norway, the penetration of PEVs is reaching up to 23% (Chart 1). Based on the current growth rates (Chart 2), the compound annual growth rate of EV production is estimated at 30% to 35% over the next 10 years. Japan will remain in top spot in EV penetration (the current HEV rate is around 20% of the overall market). Japan's market (controlled by Toyota and Honda) is dominated by the HEV type of vehicles, and we expect it to remain this way. Chart 1PEV Penetration By Country Chart 2EV Sales By Country We expect the largest boost in market share gains to happen on the European market, based on very stringent CO2 emissions regulation (Chart 3) and ambitious EV targets set by the larger countries. EV market share is set to reach 20% (from the current 5%) in the coming seven to 10 years. The EU is closely followed by South Korea. The Ministry of Trade, Industry and Energy (MOTIE) has developed an ambitious plan of growth, by which EV market share should reach 20% by 2020 and 30% by 2025. New EVs will receive special license plates, fuel incentives, and new charging stations. MOTIE wants the auto industry to be able to produce 920,000 NEVs per year, of which 70% should be exported. Among other large markets, the U.S. and China will remain the two countries with lowest EV penetration rates, although growth rates will be impressive. This will be due to low incentives from the government and cheap traditional fuel supply (in the U.S.), or a low base, some subsidy cuts, and infrastructure constraints (in China). Especially in China's case, the numbers remain striking (Chart 4). According to statistics published by the China Association of Automobile Manufacturers (CAAM), EV sales in 2015 grew 450% YOY. The market is estimated to grow at an average rate of 25% over the next 10 years. Chart 3EU CO2 Emission Targets Chart 4Monthly NEV Sales China In this report we will highlight companies from the raw material production stage: Albermarle (ALB US), Gangfeng Lithium (002460 CH), Tianqi Lithium Industries (002466 CH), and Orocobre (ORE AU); to added-value battery producers: BYD (1211 HK), LG Chem (051910 KS), and Samsung SDI (006400 KS); down to some electric vehicle companies: Geely Automobile Holdings (175 HK) and Zhengzhou Yutong Bus Company (600066 CH). The Supply Side Driven by demand from China and the U.S., the raw material base for lithium has shifted in the past 20 years from subsurface brines to more production-intensive hard-rock ores. Brine operations are mostly found in the so-called LatAm "triangle" - Argentina, Chile and Bolivia - while China and Australia produce lithium from spodumene (a mineral consisting of lithium aluminium inosilicate) and other minerals. The U.S. Geological Survey estimates world reserves at 14 million tonnes in 2015, with Bolivia and Chile on top of the table (Chart 5). The main lithium producing countries, according to the U.S. Geological Survey, are Australia, Chile, and Argentina (Chart 6). Chart 5Lithium Reserves Concentrated In LatAm Chart 6Lithium Production Dynamics By Country The lithium mining process starts with pumping lithium-containing brine to subsurface reservoirs and leaving the water to evaporate (from 12 to 24 months) until the brine reaches a 6% lithium content. From here there are three ways to process the concentrate, or the hard-rock in mineral form: Treatment with sulfuric acid (acidic method) Sintering with CaO or CaCO3 (alkali method) Treatment with K2SO4 (salt method) Further, lithium carbonate (Li2CO3), a poorly soluble solution, is isolated from the received concentrate and transferred into lithium chloride, which is purified in a vacuum distillation process. Storage is also difficult: as lithium is highly corrosive and can damage the mucous membrane, it is most commonly stored in a mineral oil lubricant. Due to the rare nature of the metal, lithium comes mainly as a by-product of other metals and comprises only a small part of the production portfolio. This is the reason why the underlying metal price and the share prices of the largest producers of lithium have low correlation (Chart 7). Albermarle, SQM, and FMC Corp currently control as much as three-quarters of global lithium production, but price performance is not keeping up with the price of the underlying metal. For best exposure to the metal, we concentrate on companies with a large degree of dedication to mining lithium and close ties to the end-users. We recommend one established market leader (by volume) - Albermarle (ALB US); one company that just started operations - Orocobre (ORE AU), whose assets are concentrated in Argentina; and two lithium miners from China - Jiangxi Ganfeng Lithium (002460 CH) and Tianqi Lithium (002466 CH). These companies display much higher correlation to the metal price (Chart 8). Chart 7FMC Corp., SQM And ##br##Albermarle Vs. Lithium Price Chart 8Orocorbe, Jiangxi Ganfeng And##br## Tianqi Lithium Vs. Lithium Price Albermarle (ALB US): U.S. company with EM exposure (Chart 9). After the acquisition of Rockwood Holdings in 2015, Albermarle became one of the largest producers of lithium and lithium derivatives. Lithium accounts for more than 35% of the company's revenue stream (+20% YOY), which compares favourably to the 20% of the Chilean producer SQM and the 8% of another large US producer FMC Corp. Chile comprises 31% of global production. Albermarle's 2Q16 results on 3 August came broadly in line with market expectations. Some deviation from expectations occurred because of discontinued operations in the Surface Treatment segment. Group sales contracted by 7%, due to divestures started in previous quarters (Chemetal). Positively, lithium sales grew 10% YOY due to both better pricing and higher volumes, and EBITDA in the segment improved by 20%. Group EBITDA (adjusted) grew by 5% YOY and the bottom-line (adjusted) expanded by 11% YOY. Management appears confident about FY16 operations, guiding 1% improvement in EBITDA, as well as 3% in FY EPS and aims to maintain EBITDA margins in the lithium segment at over 40%. We see high growth potential due to Albermarle's portfolio composition. The market is currently expecting an EPS CAGR of 9% over the next four years. Albermarle is trading at a forward P/E of 23.1x. Orocobre (ORE AU): An Australian company mining in Argentina (Chart 10). Orocobre is an Australian resource company, based in Brisbane. As in the case with Albermarle, the majority of operations are located in EM, so we see it as appropriate to include the company into our portfolio. Chart 9Performance Since October 2015: ##br##Albermarle vs MXEF Index Chart 10Performance Since October 2015: ##br##Orocobre vs MXEF Index Orocobre is at an initial stage in the lithium production process. The only division working at full capacity is Borax Argentina (acquired from Rio Tinto in 2012), an open-pit borate mining operation (producing 40 kilotonnes per annum (ktpa)). The flagship project (65% share), launched in a JV with Toyota Tsusho Corp, is the Olaroz lithium facility, a salt lake with an estimated 6.5 million tonnes of lithium carbonate (LCE) reserves. The planned capacity is at 17.5 ktpa. Due to the geological structure, it comes with one of the lowest operational costs ($3500 per tonne). The production ramp-up to 2,971 tonnes of lithium, reported on 19 July together with the 4Q16 results, came a notch below market expectations. The management lowered the production guidance, delaying full operational capacity by two months until November (realistically it might take even longer). Positive points in guidance included an LCE price exceeding $10,000/tonne in the upcoming quarter and confirmation that the company turned cash flow positive in the first half of this year.3 Orocobre is already planning capacity expansion at the Olaroz facility to 25 ktpa, with diversification into lithium hydroxide. Further exploration drilling is underway in the Cauchari facility, just south of Olaroz. The market forecasts the company to produce a positive bottom-line in FY17 and grow EPS by a CAGR of 25% for the next four years. Orocobre is currently trading at a forward P/E of 36.1x. Jiangxi Ganfeng Lithium (002460 CH): one of the largest lithium producers in China (Chart 11). Gangfeng is a unique company in the lithium space in the sense that it is a raw material producer with added processing capabilities. The main trigger for our OW recommendation was the acquisition of a 43% stake in the Mt Marion project in Australia. From 3Q16 onwards the bottleneck in raw material supply will be removed and the company can count on approximately 20 thousand tonnes (kt) of lithium spodumene. On the back of this news, the company announced a production expansion into lithium hydroxide (20 kt) from which 15 kt will be battery grade and 5 kt industry grade. This has the potential to lift Ganfeng to one of the top five producers in the world. Ganfeng reported stellar 2Q16 results on 22 August. The top-line grew two times YOY, while operating profit increased by 7.8x. Operating margin jumped from 9.8% to 35.9%, and the bottom-line expanded five-fold YOY. The profit margin also improved from 8.55% to 25.3%. We expect less strong, but still robust, YOY growth for the upcoming quarters. Market projects EPS CAGR of over 50% during the next four years, as the production run-up will continue. The company is currently trading at a forward P/E of 36.8x. Tianqi Lithium Industries (002466 CH): Making the move (Chart 12). Tianqi is the third largest producer in the world (18% of global capacity). Recently the company got into the news on rumors of its attempted expansion by taking a controlling stake in the world's largest lithium producer, Chile's SQM. Chart 11Performance Since October 2015:##br## Jiangxi Ganfeng Lithium vs MXEF Index Chart 12Performance Since October 2015: ##br##Tianqi Lithium vs MXEF Index SQM has an intricate shareholding structure, with the involvement of the Chilean government and a rule that no shareholder is currently allowed to own more than a 32% stake in the company (this rule can be changed only through an extraordinary shareholder meeting). At the moment the largest shareholder is Mr. Ponce Lerou (son-in-law of former President Augusto Pinochet), who owns just under 30% and has a strategic agreement with a Japanese company, Kowa, which makes the combined holding 32%. During the last week of September Tianqi acquired a 2% stake (for USD209 m) from US-based fund SailtingStone Capital Partners, which held a 9% stake, with the option to buy the remaining 7%. In a further step, Tianqi is trying to negotiate a deal with one of Mr. Ponce Lerou's companies which holds a 23% stake. It is said that Mr. Ponce Lerou has got into a political stalemate with the Chilean government on a production increase at one of its deposits and is looking to exit the company. Tianqi reported strong Q2 results on 22 August. Revenues grew by 2.4x YOY, and operating profit improved by 3.9x YOY. Operating margin grew from 42.99% in 2015 to 69.35% in 2Q16, and bottom-line increased twofold QOQ as production ramp-up continued. At the same time profit margin reached 48.9%, up from 2.8% a year ago. The company is currently trading at a forward P/E of 23.4x, and the market is forecasting an EPS CAGR of 13% over the next three years. The Demand Side4 Lithium is used in a wide range of products, from electronics to aluminium production and special alloys, down to ceramics and glass. But battery production takes the largest share of utilization (Charts 13A & 13B). Chart 13ALithium UsageChart 13BLithium Batteries Most Widely Used As confirmed by import statistics (from the U.S. Geological Survey), demand in many Asian countries, as well as the U.S., has been constantly rising. Among the main importers, South Korea is in fourth place with the largest number of new lithium-related projects started. In top position is the U.S., where we expect a strong demand increase, once the Tesla battery mega-factory in Nevada is completed, followed by Japan, which has the highest penetration of electric vehicles (EV), and China (Chart 14). Chart 14Composition Of Lithium Imports By Country Because of its low atomic mass, lithium has a high charge and power-to-mass ratio (a lithium battery generates up to 3V per cell, compared to 2.1V for lead-acid or 1.5V for zinc-carbon), which makes it the metal-of-choice for battery electrolytes and electrodes, and makes it difficult to replace with other metals, due to its unique physical features. Lithium is used in both disposable batteries (as an anode) and re-chargeable ones (Li-ion or LIB batteries, where lithium is used as an intercalated compound). Li-ion batteries are used in: Portable electronics, such as mobile phones (lithium cobalt oxide based); Power tools / household appliances (lithium iron phosphate or lithium manganese oxide); EVs (lithium nickel manganese cobalt oxide or NMC). The most produced battery is the cylindrical 18650 battery. Tesla's Model S uses over 7000 of these type of batteries for its 85 kWh battery pack (the largest on the market until mid-August, when Tesla announced a 100 kWh battery pack). The amount of lithium used in a battery pack depends on the kW output. Rockwood Lithium (now Albermarle), estimated in one of its annual presentations that: A hybrid electric vehicle (HEV) uses approximately 1.6kg of lithium A plug-in hybrid (PHEV) uses 12kg An electric vehicle (EV) uses more than 20kg (but all depends on make, model, and technology). An average car battery (PHEV/EV) would use over 10kg of lithium, assuming 450g per kWh (please note that real-life calculations suggest a usage of up to 800g per kWh of lithium. We have used the lower end of the range for our estimates), with Tesla's battery consuming around 70kg of lithium. Simple math suggests that with the completion of the mega-factory (estimated production of 35 GWh or 500k batteries p.a.), Tesla alone will be consuming at least half of world lithium production by 2020, and create a large overhang in demand. Among car battery producers, we like global players with dominant market positions and strong ties to end-users, such as LG Chem, Samsung SDI in Korea, and BYD in China. Those three companies together control more than half of global battery production (Chart 15) and will most likely maintain market share in the foreseeable future, as barriers to entry are high due the amount of investment required into technology and production facilities, and the end-product is difficult to differentiate on the market. BYD Corp (1211 HK): Build Your Dreams, it's in the name (Chart 16). Founded in 1995 and based in Shenzhen, BYD covers the whole value chain, from R&D and production of batteries (phone and car batteries) to automobile production and energy storage solutions. It is currently the largest battery and PHEV producer in China. The total revenues stream consists of 55% from auto and auto components sales, 33% portable electronics battery, and 12% car battery sales. Chart 15Largest Lithium ##br##Battery Producers Chart 16Performance Since October 2015: ##br##BYD Corp vs MXEF Index We believe the company is best positioned to reap multi-year rewards from the recent drive of the Chinese government to promote new electronic vehicle (NEV) growth through subsidies, support of charging infrastructure, and changes in legislation. The introduction of carbon trading in August (carbon credit will be measured on the number of gasoline-powered vehicles in the producer's fleet) will give BYD a benefit over other car manufacturers. BYD's model pipeline and battery manufacturing capacity (expected to reach 20 GWh by FY17), as well as favourable pricing ($200 kWh compared to over $400 kWh for Tesla) put the company into a leadership position. BYD reported 2Q16 results on 28 August, which came out very strong. Revenues grew by 52.5% YOY and 384% on a semi-annual perspective, driven by all three business segments and especially strong in EV sales (+29% YOY). This came with a significant beat of consensus estimates and later we saw a 68% upwards adjustment. As a result operating margin and profit margin improved from 3.8% and 2.2% in 2Q15 to 8.5% and 5.8% in 2Q16. Bottom-line was up 4x YOY. The market is currently pricing in an EPS CAGR of 12% over the next three years. BYD is trading at a forward P/E of 23.9x. LG Chem (051910 KS): Catering for the US market (Chart 17). LG Chem is the largest chemical company in South Korea, operating in three different divisions: petrochemicals (from basic distillates to polymers), which account for 71% of total revenues, information technology and electronics (displays, toners etc.), which represent 13% of total revenues, and energy solutions, 16% of total revenues. LG Chem is the third largest battery producer in the world, manufacturing a pallet from small watch and mobile phone batteries down to auto-packs. LG's North American operations in Holland, Michigan produce battery packs for the whole range of GM (Chevrolet, Cadillac) EVs (including the most popular Volt range), as well as for the Ford Focus. In Europe, customers include Renault; in Asia, LG is working with Hyundai, SAIC, and Chery. The company reported better-than-expected 2Q16 results on 21 July. Revenues grew by 3% YOY and operating profit by 8.5% YOY, driven solely by the petrochem division (up 10% YOY). Bottom-line expanded by a healthy 8% YOY. LG Chem trades at deeply discounted levels (forward P/E of 11.6x) due to the remaining negative profitability in the battery segment (partly due to licensing issues in China, which represents 32% of total revenues), but we estimate that the trend will turn in the following quarters, as Chevrolet is ramping up demand with new product lines and management is guiding for a resolution in China. Furthermore, plans released by the Korean government in June/July (renewable energy plan and EV expansion plan) will increase demand for batteries by more than 30% CAGR in the next five years. The market is forecasting an EPS CAGR of 9% over the upcoming four years. Samsung SDI (006400 KS): Investing into the future (Chart 18). In contrast to LG Chem, Samsung SDI is fully focused on Li-ion battery production, with 66.5% of total revenues coming from this division (BMW and Fiat among clients). The company also produces semiconductors and LCD displays, which account for 35.5% of total revenue. Chart 17Performance Since October 2015: ##br##LG Chem vs MXEF Index Chart 18Performance Since October 2015: ##br##Samsung SDI vs MXEF Index Samsung SDI is currently in a reorganization phase, as the company is spinning off "Samsung SDI Chemicals" and has announced it will invest $2.5 bn into further development of its car battery business. The proceeds from the sale of Samsung SDI Chemicals (taken over by Lotte Chemicals in April for around $2.6 bn) will also be directed towards the car battery segment. Samsung SDI reported weak 2Q16 results on 28 July, as expected. Revenues continued to contract on a YOY basis, although the rate of decline slowed compared to Q1 and even registered 2% QOQ growth. The bottom-line was positive due to a one-off gain (the sale of the chemical business). The main headwinds came from delays in licensing Chinese factory production and a strong Japanese yen. On the positive side, Li-ion batteries in portable devices performed well, due to better than expected Galaxy S7 sales, as well as OLED sales, due to increased demand and capacity constraints in the mobile phone and large panel spaces. Due to the high concentration of EV battery-related revenues in its portfolio, we believe that Samsung SDI will be the largest beneficiary of government's renewable energy and EV expansion plans. The company is also ideally positioned to take advantage of the fast-growing Chinese market (35% of revenues coming from China), once the issue with licensing is resolved (which management guided will happen in Q3). The recent problems with overheating or exploding batteries, reported by users of the new Samsung phones, have sent the share price lower. We believe that this offers an excellent entry point, as ultimately the company will replace/improve the technology, and, at the same time, there are no alternatives which could threaten Samsung SDI's leadership in the portable battery space. The temporary issue in China has weighted on valuations, as Samsung SDI is trading at a forward P/E of 27.7x, while the market expects EPS to increase fivefold in the coming four years. Accessing The Chinese EV Market Best access to the fast growing Chinese market is through local car manufacturers, such as Geely (Chart 19). The subsidy schemes, put in place by the National Development and Reform Commission (NDRC), currently cover only domestic-made models (except the BMW i3). Furthermore, import duties are making foreign-made vehicles uncompetitive in terms of price. We recommend to overweight Geely (0175 HK) and electric bus producer Yutong Bus (600066 CH) on the 30% NEV rule for public transport procurement. Chart 19Accessing The Chinese EV Market Geely ("Lucky" in Mandarin) Automobile Holdings (175 HK): A company with large ambitions (Chart 20). Probably best known for its two foreign car holdings, Volvo and the London Taxi Company, Geely grew from a small appliances manufacturer to the second largest EV producer in China, with an ambitious goal to manufacture 2 mn units by 2020. We see the main positive driver in Geely's big push into the EV market. The goal set by management is to have 90% of its fleet powered by electricity by 2020. The so called "Blue Geely" initiative is based on a revamp of Geely's current fleet into HEVs/PHEVs (65% as per plan) and EVs (35%). In May the company raised $400 mn in "green bonds" in a first for a Chinese car company, to support its R&D and manufacturing project, Ansty, to produce the first zero-emission TX5 black cabs in the U.K. The company reported strong 1H16 results on 18 August. Revenues were up 30% YOY, driven by higher production volume (up 10% YOY) and a sales price hike of around 15% YOY. The co-operation with Volvo seems to be working well (Volvo's design, Geely's production capabilities). The average waiting time for new models in China is approximately two months. The bottom-line expanded by 37.5% YOY despite a high density of new model launches, and we expect to see some margin improvement in the coming quarters. The market forecasts an EPS growth CAGR of 25% over the coming four years. Geely is currently trading at a forward P/E of 15.6x. Zhengzhou Yutong Bus Company (600066 CH): An unusual bus manufacturer (Chart 21). Yutong Bus Company is the world's largest, and technologically most advanced, producer of medium and large-sized buses (over 75k units produced in FY15, 10% global market share), with its own R&D and servicing capabilities. Even more important, Yutong is one of the largest producers of electric-powered buses in China and globally. Chart 20Performance Since October 2015: ##br##Geely Automobile Holdings vs MXEF Index Chart 21Performance Since October 2015:##br## Yutong Bus Company vs MXEF Index Due to the 30% EV procurement rule for local governments, the number of electric buses produced in 2015 soared 15 times to 90,000, a quarter of which were produced by Yutong. We expect this number to grow further with the introduction of the new carbon emission trading scheme. We see Yutong as best positioned in the bus manufacturers' space to take advantage of the new trading rules. Yutong reported 2Q16 results on 23 August, which came in broadly in line with market expectations. Revenue expanded by 34% YOY, driven by volume growth (7400 NEV units sold, +100% YOY). The push into EVs came with higher cost-of-sales (warranty and servicing). This did not affect gross margin (up 1% to 25%). Bottom-line grew by 50% YOY. Management maintained an upbeat outlook, guiding 25,000 units of NEV sales in FY16, with an average sales price increase due to higher sales in the large-bus segment. Management also expects to receive the national subsidy for FY15 in 3Q16 and for 2016 in 1Q17. The market currently factors in an EPS CAGR growth of 8% over the next four years. Yutong is trading at a forward P/E of 12.3x. How To Trade? The EMES team recommends gaining exposure to the sector through a basket of the listed equities, which would consist of four mining companies, three car battery pack producers, and two EV manufacturers. The main goal is active alpha generation by excluding laggards and including out-of-benchmark plays, to avoid passive index hugging via an ETF. Direct: Equity access through the tickers (Bloomberg): Albermarle (ALB US), Gangfeng Lithium (002460 CH), Orocobre (ORE AU), Tianqi Lithium Industries (002466 CH), BYD (1211 HK), LG Chem (051910 KS), Samsung SDI (006400 KS), Geely Automobile Holdings (175 HK), Zhengzhou Yutong Bus Company (600066 CH). ETFs: Global X Lithium ETF (LIT US) Funds: There are currently no funds available, which invest directly into lithium or lithium-related stocks. Please note that the trade recommendation is long-term (1Y+) and based on an OW call. We don't see a need for specific market timing for this call (for technical indicators please refer to our website link). Trades can also be implemented through our recommendation versus MXEF index either directly through equities in the recommended list or through ETFs. For convenience, the performance of both the ETFs and market cap-weighted equity baskets will be tracked (please see upcoming updates as well as the website link to follow performance). Risks To Our Investment Case Because of the broad diversification, we see our portfolio exposed to idiosyncratic risk factors, which could affect single-stock performance, as well as the following macro factors: Mining: Falling lithium prices due to lower demand or a ramp-up in production on some of the Australian projects, could hurt profitability or delay new projects (especially in case of Orocobre). We also see some political risk stemming from the region of operations (Argentina, Chile), especially taking into account the weak performance of Chile's own lithium producer SQM and its role in a Brazil-like political scandal. Battery and EV production. We identify the main risk in drastic changes to governments' environmental and subsidy policies, which would hit the whole supply chain. A slowdown in economic development can make green or power-saving initiatives too expensive and governments will have to rethink their subsidy policies or production/penetration goals. This will hurt profitability through either a negative impact on sales or through smaller subsidies, which producers and end-users are receiving from their governments. One further risk is the dramatic increase in demand for lithium after the completion of Tesla's factory in Nevada, but may also come from other large players such as BYD. We currently see this risk as muted. As with all large Tesla initiatives, you have to take them with a pinch of salt, as the exact end numbers and the time the factory will be working at full capacity are unclear. Furthermore, Tesla, unlike many Chinese competitors, has no supply of lithium of its own, so there is little chance that it can protect supply or control prices. In any case, we see the overall portfolio as balanced, as the mining companies' performance should compensate for a negative impact on the end producers. Oleg Babanov, Editor/Strategist obabanov@bcaresearch.co.uk BASE METALS China Commodity Focus: Base Metals Zinc: Downgrade To Strategically Bearish We downgrade our strategic zinc view from neutral to bearish. We believe zinc supply (both ore and refined) will rise in response to current high prices, resulting in a 10-15% decline in zinc prices over next 9-12 months. Tactically, we still remain neutral on zinc prices as we believe the market will remain in supply deficit over the near term. Chinese zinc ore production will recover in 2017, while the country's zinc demand growth will slow. China is the world's biggest zinc ore miner, refined zinc producer, and zinc consumer. We recommend selling Dec/17 zinc if it rises to $2,400/MT (current: $2,373.5/MT). If the sell order gets filled, put on a stop-loss level at $2,500/MT. Zinc has been the best-performing metal in the base-metals complex, beating copper, aluminum and nickel this year. After bottoming at $1,456.50/MT on January 12, zinc prices have rallied 64.7% to $2,399/MT on October 3 (Chart 22, panel 1). The Rally The rally was supercharged by a widening supply deficit, which was mainly due to a record shortage of zinc ores globally (Chart 22, panels 2, 3 and 4). Late last October our research showed the output loss from the closure of Australia's Century mine, the closure of Ireland's Lisheen mine and Glencore's production cuts would reduce global zinc supply by 970 - 1,020 KT in 2016, which would be equivalent to a 7.1 - 7.5% drop in global zinc ore output.5 Moreover, a 16% price decline during the November-January period spurred additional production cut worldwide. According to the WBMS data, for the first seven months of 2016, global zinc ore production declined 11.9% versus the same period of last year, a reduction never before seen in the zinc market. In comparison, there was no decline in global zinc demand (Chart 22, panel 4). As a result, the global supply deficit reached 152-thousand-metric-tons (kt) for the first seven months of 2016, versus the 230kt supply surplus during the same period last year. What Now? Tactically, We Remain Neutral. On the supply side, we do not see much new ore supply coming on stream over the next three months. On the demand side, both monetary and fiscal stimulus in China has pushed Chinese zinc demand higher. For the first seven months of 2016, the country's zinc consumption increased 209 kt, the biggest consumption gain worldwide. Because of China, global zinc demand did not fall this year. China will continue lifting global zinc demand as its auto production, highway infrastructure investment, and overseas demand for galvanized steel sheet will likely remain elevated over the near term (Chart 23, panels 1, 2 and 3). Inventories at the LME are still hovering around the lowest level since August 2009, while SHFE inventories also have been falling (Chart 23, bottom panel). Speculators seem to be running out of steam, as the open interest has dropped from the multi-year high on futures exchanges. Chart 22Zinc: Strategically Bearish, Tactically Neutral Chart 23Positive Factors In The Near Term The aforementioned factors militate against zinc prices dropping sharply in the near term. However, with prices near the 2014 and 2015 highs, and facing strong technical resistance, we do not see much upside. Strategically, We Downgrade Our Strategic Zinc View From Neutral To Bearish We believe zinc supply (both ore and refined) will rise in response to current high prices, resulting in a 10-15% decline in zinc prices over next 9-12 months. Chart 24High Prices Will Boost Supply In 2017 Zinc prices at both LME and China's SHFE markets are high (Chart 24, panel 1). Last year, many miners and producers cut their ore and refined production due to extremely low prices. If zinc prices stay high over next three to six months, we expect to see an increasing amount of news stories on either production cutbacks coming back or new supply being added to the market, which will clearly be negative to zinc prices (Chart 24, panels 2 and 3). So far, even though Glencore, the world's biggest ore producing company, is still sticking firmly to its output reduction plan, there have been some news reports about other producers raising their output, all of which will increase zinc ore supply in 2017. The CEO of the Peruvian Antamina mine said on October 10 the mine operator will aim to double its zinc output in 2017 to 340 - 350 kt, up from an estimated 170 kt - 180 kt this year, as the open pit operation transitions into richer zinc areas. This alone will add 170 kt - 180 kt new zinc supply to the market. Vedanta said last week that its zinc ore output from its Hindustan Zinc mine located in India will be significantly higher over next two quarters versus the last two quarters. Nyrstar announced in late September that it is reactivating its Middle Tennessee mines in the U.S., expecting ore production to resume during 2017Q1 and to reach full capacity of 50 kt per year of zinc in concentrate by November 2017. Red River Resource is also restarting its Thalanga zinc project in Australia, and expects to resume producing ore in early 2017. Glencore may not produce more than its 2016 zinc production guidance over next three months. But it will likely set its 2017 guidance higher, if zinc prices stay elevated. After all, the company has massive mothballed zinc mines, which are available to bring back to the market quickly. In comparison to the high probability of more supply coming on stream, global demand growth is likely to stay anemic in 2017, as the stimulus in China, which was implemented in 2016H1, will eventually run out of steam. How Will China Affect The Global Zinc Market? Chart 25Look To Short Dec/17 Zinc China is the world's largest zinc ore producing country, the world's largest refined zinc producing country, and the world's largest zinc consuming country. Last year, the country produced 35.9% of global zinc ore, 43.8% of global refined zinc, and consumed 46.7% of global zinc. Over the near term, China is a positive factor to global zinc prices. Domestic refiners are currently willing to refining zinc ores as domestic zinc prices are near their highest levels since February 2011. With inventories running low and domestic ore output falling 7.8% during the first seven months of 2016, the country may increase its zinc ore imports in the near term, further tightening global zinc ore supply. Domestic zinc demand and overseas galvanized steel demand are likely to stay strong in the near term. However, over the longer term, China will become a negative factor to global zinc prices. China's ore output the first seven months of 2016 was 221 kt lower than the same period of last year as low prices in January-March forced widespread mine closures. The country's mine output may not increase much, as the government shut 26 lead and zinc mines in August in Hunan province (the 3rd largest zinc-producing province in China) due to safety and environmental concerns. The ban will be in place until June 2017. Looking forward, elevated zinc prices and a removal of the ban will boost Chinese zinc ore output in 2017. Regarding demand, we expect much weaker Chinese zinc demand growth next year as this year's stimulus should run out of steam by then. Risks If global zinc ore supply does not increase as much as we expect, or global demand still have a robust growth next year, global zinc supply-demand balance may be more tightened, resulting in further zinc price rallies. If Chinese authorities resume their reflationary policies next year during the lead-up to the 19th National Congress of the Communist Party of China in the fall, which may increase Chinese and global zinc demand considerably, we will re-evaluate our bearish strategic zinc view. Investment Ideas As we are strategically bearish zinc, we recommend selling Dec/17 zinc if it rises to $2,400/MT (current: $2,373.5/MT) (Chart 25). If the sell order gets filled, put on a stop-loss level at $2,500/MT. Ellen JingYuan He, Editor/Strategist ellenj@bcaresearch.com 1 Please see p. 32 of the 2016 edition of the International Energy Agency's "Key World Energy Statistics." The IEA reckons global oil demand in 2014 averaged just over 93mm b/d. 2 Please see the Financial Times, p. 12, "Warning on electric vehicle threat to oil industry," in the October 9, 2016, re the Fitch Ratings report, and IHS Energy's Special Report, "Deflating the 'Carbon Bubble,' Reality of oil and gas company valuation," published in September 2014. 3 Because of the early stage of the project, a conventional equity analysis is not yet applicable. 4 Please see Technology Sector Strategy Special Report "Electric Vehicle Batteries", dated September 20, 2016, available at tech.bcaresearch.com 5 Please see Commodity & Energy Strategy Weekly Report for Base Metal section, "Global Oil Market Rebalancing Faster Than Expected", dated October 22, 2015, available at ces.bcaresearch.com Investment Views and Themes Recommendations Tactical Trades Commodity Prices and Plays Reference Table Closed Trades
As third quarter earnings reports trickle in for companies in the industrial sector, it is becoming increasingly clear that achieving meaningful sales growth will remain a daunting task. There is little incentive to bet on upside surprises. Commodity-related industries remain hamstrung by poor balance sheets and a dearth of free cash flow, which will limit capital availability needed for investment. Banks are tightening standards on business loans, a leading indicator for industrial sales growth (second panel). The ongoing contraction in core durable goods orders confirms that industrial sector earnings momentum remains negative. Now that sector labor costs are back on the upswing, the need for a sales recovery becomes even more urgent, otherwise profit margins will continue to get squeezed. We remain underweight the S&P industrials sector.
Consumer product stocks have had a tough few weeks, as renewed strength in the U.S. dollar threatens to undermine sales prospects. However, there are reasons to be cautiously optimistic, especially in relative terms. Consumption has a lower economic beta than capital spending, particularly among consumer staples vendors. Consumer goods exports have started to rebound, even prior to renewed strength in emerging market currencies. The latter heralds at least a mild recovery in consumer product top-line growth. Domestically, retail sales at non-discretionary stores are outpacing sales at discretionary stores by a wide margin, another indication that in relative terms, profit conditions favor non-cyclical consumer goods vendors. We are overweight the S&P household products and S&P soft drink indexes.
Special Report Highlights China's abnormal credit growth has been the result of speculative, high-risk behavior among Chinese banks - and not the natural result of the country's high savings rate. Banks do not intermediate savings into credit, and they do not need deposits to lend. Banks create deposits and money by originating loans. A commercial bank is not constrained in loan origination by its reserves at the central bank if the latter supplies liquidity (reserves) to commercial banks 'on demand'. What habitually drives credit booms are the "animal spirits" of banks and borrowers. We are initiating a relative China bank equity trade: short listed medium-size banks / long large five banks. Continue shorting the RMB versus the U.S. dollar. Feature For some time, the consensus view has been that rampant credit growth in China and the resulting excesses have been the natural result of the country's high savings rate, particularly among Chinese households. We have long argued differently: abnormal credit growth has been the result of speculative, high-risk behavior among Chinese banks and other creditors and borrowers. In this vein, China's credit bubble is no different than any other credit bubble in history. Although an adjustment in China might play out differently than it has in other countries where credit excesses became prevalent, China's corporate credit bubble is an imbalance that poses a non-trivial risk to both mainland and global growth (Chart I-1). Chart I-1China's Outstanding Credit Is Large Relative To Global GDP In a nutshell, Chinese banks have not channelled large amounts of household deposits into credit. Without mincing words, it is our view that banks have originated loans literally from "thin air" as banks do in any other country. In turn, credit has boosted spending, income and, consequently, savings. Do Deposits Create Loans, Or Do Loans Create Deposits? It is a widely held view among academics, investors and market commentators - including some of our colleagues here at BCA - that China's enormous credit expansion over the past several years has been a natural outcome of the nation's high savings rate. The argument goes like this: China has a very high savings rate, and it is inherent that household savings flow to banks as deposits. In turn, banks have little choice but to lend out on these deposits. The upshot of this reasoning is as follows: China's abnormally strong credit growth is a consequence of the country's abundant savings rather than an unsustainable excess. This argument hails from the Intermediate Loan Funds (ILF) model, otherwise known as the Loanable Fund Theory. This model suggests that deposits create loans - i.e., banks intermediate deposits into credit. Even though the ILF model is the most widespread theory of banking within academia and in textbooks, it unfortunately has little relevance to real-life banking - i.e., banking systems around the world do not function as the model posits. An alternative but much less recognized theory, the Financing Money Creation (FMC) model, asserts that banks create deposits from "thin air" when they originate a new loan. This is the model that banking systems in almost all countries in the world subscribe to. Indeed, whenever a bank makes a loan, it simultaneously creates a matching deposit in the borrower's bank account, therefore creating new money in the process (Chart I-2). In other words, bank loans create deposits and money. Chart I-2Commercial Banks: Credit Origination Creates Deposits Herein we cite various papers that discuss this matter and delineate the key points: "Banks do not, as many textbooks still suggest, take deposits of existing money from savers and lend it out to borrowers: they create credit and money ex nihilo - extending a loan to the borrower and simultaneously crediting the borrower's money account" (Turner, 2013). "When banks extend loans, to their customers, they create money by crediting their customer's accounts" (King, 2012). "Based on how monetary policy has been conducted for several decades, banks have always had the ability to expand credit whenever they like. They don't need a pile of "dry tinder" in the form of excess reserves to do so" (Dudley, 2009). "In a closed economy (or the world as a whole), fundamentally, deposits come from only two places: new bank lending and government deficits. Banks create deposits when they create loans." (Sheard, 2013). "Just as taking out a new loan creates money, the repayment of bank loans destroys money" (McLeay, 2014). The papers cited in the bibliography on page 18 elaborate on this topic in depth and readers are encouraged to review this literature. Bottom Line: Banks do not need deposits to lend. They create deposits and money by originating loans. Do Banks Lend Their Reserves At Central Banks? Another misconception about modern banking in general and China's banking system in particular is that banks lend out their excess reserves held at the central bank. Provided that Chinese banks have plenty of required reserves at the People's Bank of China (PBoC), some economists and analysts argue it is a matter of cutting the reserve requirement ratio to free up reserves (liquidity), which will allow banks to boost their loan origination. Again, we cite several papers as well as specific views from central bankers who reject the notion that banks lend out their reserves at the central bank: This comment by William C. Dudley (President of the New York Federal Reserve Bank) states "the Federal Reserve has committed itself to supply sufficient reserves to keep the fed funds rate at its target. If banks want to expand credit and that drives up the demand for reserves, the Fed automatically meets that demand in its conduct of monetary policy. In terms of the ability to expand credit rapidly, it makes no difference whether the banks have lots of excess reserves or not" (Dudley, 2009). "In fact, the level of reserves hardly figures in banks' lending decisions. The amount of credit outstanding is determined by banks' willingness to supply loans, based on perceived risk-return trade-offs, and by the demand for those loans. The aggregate availability of bank reserves does not constrain the expansion directly" (Borio et al., 2009). "While the institutional facts alone provide compelling support for our view, we also demonstrate empirically that the relationships implied by the money multiplier do not exist in the data ... Changes in reserves are unrelated to changes in lending, and open market operations do not have a direct impact on lending. We conclude that the textbook treatment of money in the transmission mechanism can be rejected..." (Carpenter et al., 2010). "...reserves are, in normal times, supplied 'on demand' by Bank of England to commercial banks in exchange for other assets on their balance sheets. In no way does the aggregate quantity of reserves directly constrains the amount of bank lending or deposit creation" (McLeay 2014). "Most importantly, banks cannot cause the amount of reserves at the central bank to fall by "lending them out" to customers. Assuming that the public does not change its demand for cash and the government does not make any net payments to the private sector (two things that are both beyond the direct control of the banks and the central bank), bank reserves have to remain "parked" at the central bank" (Sheard, 2013). More detailed analysis on this topic is available in the papers cited in the bibliography on page 18. Bottom Line: Banks do not lend out their reserves at the central bank. A commercial bank is not constrained in loan origination/money creation by its reserves at the central bank if the latter supplies liquidity (reserves) to commercial banks 'on demand'. Empirical Evidence: Savings Versus Credit This section presents empirical evidence that there is no correlation between national and household savings rates and loan origination. This is true for any country, including China. Credit growth and credit penetration (the credit-to-GDP ratio) have little to do with a country's or with households' savings rates. Chart I-3 illustrates that there has been no correlation between China's national or household savings rates and the credit-to-GDP ratio. China's savings rate was high and rising before 2009, yet the credit bubble formation only commenced in January 2009 when the savings rate topped out. Looking at other countries such as Korea, Taiwan and the U.S., historically we find no correlation between their savings and credit cycles1 (Chart I-4). Chart I-3China: Credit And Savings ##br##Are Not Correlated Chart I-4The U.S., Korea And Taiwan:##br## Credit And Savings Are Not Correlated Importantly, a high or rising savings rate does not preclude deleveraging. There were many two- to four-year spans of deleveraging in China when the credit-to-GDP ratio was flat or falling (Chart I-5) - i.e., the growth rate of credit was at or below nominal GDP growth. This occurred despite the country's high and rising savings rate. So, not only is deleveraging not unusual for China but it has also occurred amid a high savings rate. This contradicts the commonly held view that Chinese credit has always expanded faster than nominal GDP because the nation saves a lot. Deleveraging at the current juncture will likely be very painful, because the size of credit flows is enormous and even a moderate and gradual deceleration in credit will produce a major drag on growth. Specifically, the credit impulse - the second derivative of outstanding credit that measures the impact of credit growth on GDP - will be equal to -2.2% of GDP if credit growth moderates from 11.3% now to 7.8% in the next 24 months (Chart I-6). Chart I-5There Were Periods Of ##br##Deleveraging In China Too Chart I-6China's Credit Impulse Will ##br##Likely Be Negative As Chart I-6 also demonstrates, China's credit impulse drives Chinese imports, the most critical variable for the rest of the world. Chart I-7China: A Growth Engine Shift Since 2009 Further, it is possible to argue that vigorous credit growth generates robust income growth. The latter, in turn, allows a nation as a whole and households in particular to save more. If Chinese banks had not originated as many loans since early 2009 as they have, many goods and services in China would not have been produced and sold, and income growth for all companies, households and even government would be much lower. Even if the savings rate were held constant, less income would entail lower absolute amounts of both national and household savings. In short, China's exponential credit growth since 2009 has helped boost both national and household income levels, and in turn the absolute level of their savings. Chart I-7 illustrates that before 2009, mainland economic and income growth were driven by exports, but since early 2009, credit has been instrumental in generating income growth and prosperity. Finally, many analysts rationalize strong loan growth among Chinese banks by their robust deposit growth. This logic is flawed: Chinese banks have substantial deposits on hand because they originate a lot of loans. Bottom Line: China's and any other country's national or household savings rate does not explain swings in credit creation. Banks do not intermediate savings into credit. Rather, banks create deposits and money. What Drives Bank Lending? If a credit boom is not driven by abundant savings, what is the foundation for a credit boom in general, and the one currently underway in China in particular? Loan origination by a bank depends on that bank's willingness to lend, as well as general demand for loans. Also, depending on policy priorities, regulators often try to encourage or limit banks' ability to lend by imposing and adjusting various regulatory ratios. Barring any regulatory constraints, so long as there is demand for loans and a bank is willing to lend, a loan will be originated. Hence, in theory, banks can lend to eternity unless shareholders and regulators constrain them. In the immediate wake of the Lehman crisis, the Chinese authorities encouraged banks to open the credit floodgates. Thus, there was a de facto deregulation in the nation's banking system in early 2009 - policymakers encouraged strong credit origination. The experience of many countries - documented by numerous academic papers on this topic - has demonstrated that banking sector deregulation typically leads to excessive risk-taking by banks, and abnormal credit growth. These episodes have not ended well, with multi-year workouts following in their wake. By and large, a credit boom often occurs when risk-taking by banks surges and shareholders and regulators do not constrain them. This has been no different in China - the credit boom since 2009 has been powered by speculative and excessive risk-taking among banks and their management teams in particular, amid complacency of regulators and shareholders. Bottom Line: What habitually drives excessive credit creation are the "animal spirits" of banks and borrowers. Banks' and borrowers' speculative behavior and reckless risk-taking typically degenerates into a credit boom that often ends in an economic and financial downturn. It has been no different in China. What Constrains Bank Lending? The following factors can limit bank credit origination: Monetary policy can limit credit growth via raising interest rates, which dampens loan demand. Also, banks can become more risk averse when interest rates rise as they downgrade creditworthiness of current and prospective borrowers. Government regulations can impose various restrictions on banks, restraining their risk-taking and ability to originate infinite amounts of credit. In China, to limit banks' ability to lend, regulators have imposed several mandatory ratios on commercial banks, and also practice 'Window Guidance'. First, the capital adequacy ratio (CAR=net capital / risk-weighted assets). This ratio limits banks' ability to originate infinite amounts of loans by imposing a minimum level CAR. In China, most banks comply comfortably with CAR. The CAR for the entire commercial banking system is currently 13.1%. While the minimum requirement is 8%. The caveat is that in China, banks' equity capital is nowadays considerably inflated because they have not provisioned for non-performing loans (NPLs). If banks were to fully provision for NPLs, their equity capital would shrink significantly, and they would probably not meet the minimum CAR. Table I-1 shows that in a scenario of 12.5% NPL ratio for banks' claims on companies and zero NPL on household loans and mortgages as well as a 20% recovery rate, a full provisioning by banks would erode 65% of their equity. In this scenario, the CAR ratio would drop a lot - probably below the required minimum of 8% and banks would be forced to raise new equity (dilute existing shareholders) or shrink their balance sheets - or a combination of both. Table I-1China: NPL Scenarios And Banks' Equity Capital Impairment Second, the leverage ratio - computed as net Tier-1 capital divided by on- and off-balance-sheet assets. According to government regulation, this ratio should be at least 4%. As of June 30, 2016, the leverage ratio for the entire commercial banking system was 6.4%, comfortably above its floor. Nevertheless, as with CAR, the leverage ratio is overstated at the moment because the numerator - net Tier-1 equity capital - is artificially inflated, as it is not adjusted for realistic levels of NPLs, as discussed above. If 65% of equity is eroded due to sensible loan-loss provisioning and write-offs (as per Table 1), the leverage ratio would drop to about 2.3%, below the required minimum of 4%. Hence, banks would need to raise new equity (dilute existing shareholders), shrink their balance sheets or do a combination of both. Equity dilution is bearish for bank stocks and, if and as banks moderate their assets/loan growth, the economy will suffer. Third, regulatory 'Window Guidance' is implemented through PBoC recommendations to banks on their annual and quarterly credit ceilings, and on their credit structures. There is no official disclosure of this measure, and it is done between the PBoC, the Chinese Banking Regulatory commission (CBRC) and banks' management. In recent years, the efficiency of 'Window Guidance' has declined dramatically. Banks have defied bank regulators' efforts to rein in credit growth by finding loopholes in regulations. What's more, they have de facto exceeded credit origination limits by moving credit risk off their balance sheets and classifying it differently than loans. The result has been mushrooming Non-Standard Credit Assets (NSCA). Table I-2 reveals that on- and off-balance-sheet NSCA stand at RMB 10 trillion and RMB 19 trillion, respectively. Furthermore, banks have lately expanded their lending to non-depositary financial organizations that include trust companies, financial leasing companies, auto financing companies and loan companies (Chart I-8). This has probably been done to circumvent government regulations. Hence, Chinese banks have taken on much more credit risk than regulators have wanted them to by reclassifying/renaming loans as NSCA, and parking these assets both on- and off-balance-sheet. Table I-2China: Five Largest Banks Hold ##br##Only 40% Of Credit Assets Chart I-8Non-Bank Financial Organizations##br## Are On A Borrowing Spree From Banks In short, regulatory measures in China have not been effective at restraining credit growth in recent years. Bank shareholders are the biggest losers when banks expand credit uncontrollably, and then their default rates rise. The reason being that banking is a business built on leverage. For example, if a bank's assets-to-equity ratio is 10 and 10% of assets go bad (default with no recovery), shareholders' equity will completely evaporate - i.e., they will lose their entire investment. Hence, it is in the best interests of bank shareholders to halt a credit expansion when they sense deteriorating credit quality ahead. Doing so will hurt the economy, but limit their losses. Why have shareholders of Chinese banks not stepped in to curb the credit boom and misallocation of capital? We believe they have either been satisfied with such a massive credit expansion, which has initially driven shareholder returns up, or weak institutional shareholder mechanisms have meant they have been unable to enforce credit discipline on their banks. All in all, if China's or any other credit system is driven by the principals of capitalism and markets, creditors are the ones who should curtail credit growth - regardless of what impact it will have on the economy. If a country's credit system in general and banks in particular do not operate on principals of capitalism and markets, banks can expand credit infinitely, thereby perpetuating capital misallocation and raising inefficiency, leading to stagnating productivity - in other words, a move to a more socialist bend. Only in a socialist system do banks expand their credit portfolios in perpetuity, since they are not run to maximize wealth for shareholders. On a related note, there is another misconception that all Chinese banks are state-owned and the government will be fast to bail them out by buying bad assets at par. Table I-3 illustrates the ownership structure of 16 Chinese banks listed the A-share market, including the large ones. The state (central and local governments) and SOEs have a large but not 100% ownership stake. In fact, foreign investors have considerable equity shares in many banks. Table I-3Chinese Banks: Shareholder Structure Is Diverse Hence, a government bail-out of these banks at no cost to shareholders would mean the Chinese government is using taxpayer money to benefit domestic private as well as foreign shareholders. Given the considerable amounts involved, this will be politically difficult to achieve unless the benefits of doing so are explicitly greater than the costs of doing nothing. Chart I-9Commercial Banks Are On ##br##Borrowing Spree From PBoC We are not implying that a government bailout is impossible. Our point is that it will take material pain and considerable deterioration in the economy and financial markets before the central government bails out banks at no cost to other shareholders. No wonder the authorities have not recapitalized the banks so far. In the long run, if the Chinese government is serious about improving the credit/capital allocation process, it has to allow market forces to take hold so that creditors and debtors are not bailed out but instead assume financial responsibility for their decisions. This means short-term pain but long-term gain. The lack of demand for credit is an important constraint on credit origination. If there are no borrowers, banks will have a hard time making a sizable amount of loans. Liquidity constraints also limit banks' ability to expand their assets. Let's consider an example when liquidity constraints arise. Bank A originates a loan, and Borrower A wants to transfer money to its Supplier B, which has an account at Bank B. In theory, Bank A should reduce its excess reserves at the central bank by transferring money to Bank B's reserve account at the central bank. However, if too many borrowers of Bank A try to transfer their money/deposits to other banks, Bank A will run into liquidity constraints as its excess reserves dry up. In such a case, Bank A should borrow money from the central bank or the interbank market to replenish its excess reserves. Provided many G7 central banks are nowadays committed to supplying as much liquidity (reserves) as banks require, in these countries banks do not really face liquidity constraints in lending. The focus of advanced countries' central banks is to control short-term interest rates - i.e., they manage liquidity in a way to keep policy rates at the target. In the case of China, even though the PBoC has a high required reserves ratio (RRR) for banks, it apparently supplies commercial banks with whatever amounts of liquidity they require. Chart I-9 reveals that the PBoC's claims on commercial banks have surged by fivefold in the past three years. Given the Chinese monetary authorities have in the recent years been very generous in meeting banks' demands for liquidity, the high RRR has not constrained mainland banks' ability to originate loans. This contradicts some analysts' assertions that the PBoC can boost lending by cutting the RRR. As the PBoC presently fully accommodates banks' demands for liquidity, the significance and impact of required reserves has declined. On the whole, nowadays, commercial banks in China are not facing liquidity (reserves) constraints to expand credit. High debt servicing costs could constrain bank lending. Are there limits to the credit-to-GDP ratio? It is illustrative to consider a numerical example for China. Corporate and household debt presently stands at 220% of GDP and, according to Bank of Intentional Settlement (BIS) calculations, debt servicing costs (including interest payments and amortization) account for around 20% of disposable income (Chart I-10). If credit indefinitely expands at a rate well above nominal GDP growth (Chart I-11) and interest rates do not decline, debt servicing costs will rise substantially. For example, let's assume that mainland corporate and consumer leverage reaches 400% of GDP in the next several years. If and when this happens, debt servicing costs could double, approaching 40% of income assuming constant interest rates and debt maturity. Chart I-10China's Corporate And Household##br## Credit: The Sky'S The Limit? Chart I-11Will Credit Growth Slow Toward##br## Nominal GDP Growth? No debtor can continue to function under such debt burden. Hence, debtors will have to cut their spending (for companies it will be a reduction in capex budgets) or these debtors will need to borrow to pay interest and retire old debt. In short, this becomes an unsustainable Ponzi scheme, where debtors borrow to service their debt obligations. Anecdotal evidence suggests this is not rare in China nowadays. One way the authorities could reduce debt servicing is to cut interest rates to zero and lengthen the maturity of debt. This is what many advanced economies have done. If Chinese credit penetration does not stop rising, the PBoC will be forced to cut rates to close to zero. This in turn will lead to large capital outflows, and the RMB will depreciate versus the U.S. dollar. Bottom Line: The following factors can restrain bank credit origination: monetary policy (higher interest rates), government regulations, bank shareholders, lack of credit demand, liquidity constraints and high debt servicing costs. Investment Implications Chart I-12Short Small Banks / Long Large##br## Banks In China If banks' shareholders and other creditors in China act in accordance with their self-interests to preserve the value of their assets, they will have to reduce credit origination/lending. As a result, China will experience an acute economic downturn. This would constitute a capitalist-type adjustment, which in turn will lead to more efficiency, solid productivity growth, and reasonably high economic growth over the long term. However, it will also mean significant short-term pain. If the government bails out everyone, underwrites all credit risks, and gets even more involved in capital/credit allocation, the economy will not experience an acute slump for a while. However, this would represent a shift toward socialism and the potential growth rate will collapse in the next several years. With the labor force stagnating and probably contracting in the years ahead, China's potential growth will be equal to its productivity growth. In socialism, productivity growth is low, often close to zero. The growth trajectory in this scenario will follow mini-cycles around a rapidly falling potential growth rate. In brief, China's growth rate is bound to slow further, regardless of what scenario plays out over the next several years. Today, we are initiating a relative China bank equity trade: short listed small- and medium-size banks / long large five banks in the A-share market (Chart I-12). There has been more speculative high-risk lending from the small- and medium-size banks than the large ones. As we documented in our June 15, 2016 Special Report titled Chinese Banks' Ominous Shadow,2 the largest five banks have fewer non-standard credit assets than medium and small banks. If 12.5% of banks' claims on companies turn sour and the recovery rate is 20%, 100% of the equity of 11 listed small- and medium-sized banks will be wiped out. The same number for the large five banks is 42%. Hence, these 11 listed small- and medium-sized banks are more exposed to bad loans than the large five. Finally, mushrooming leverage entails that the monetary authorities should reduce interest rates drastically. However, lower interest rates will spur more capital outflows from the mainland. Hence, the RMB is set to depreciate further. We have been shorting the RMB versus the U.S. dollar since December 9, 2015, and this position remains intact. 1 We discussed this at length in Emerging Markets Strategy Special Report, "China: Imbalances And Policy Options", dated June 12, 2012, available at ems.bcaresearch.com 2 Please refer to the Emerging Markets Strategy Special Report titled, "Chinese Banks' Ominious Shadow", June 15, 2016, link available on page 22. Arthur Budaghyan, Senior Vice President Emerging Markets Strategy arthurb@bcaresearch.com Andrija Vesic, Research Assistant andrijav@bcaresearch.com Bibliography Borio, C. and Disyatat, P. (2009), "Unconventional Monetary Policy: An Appraisal", BIS Working Papers, No. 292, November 2009. Carpenter, S. and Demiralp, S. (2010),"Money, Reserves, and the Transmission of Monetary Policy: Does the Money Multiplier Exist?", Finance and Economics Discussion Series, No. 2010-41, Divisions of Research & Statistics and Monetary Affairs, Washington, DC: Federal Reserve Board Dudley, W. (2009), "The Economic Outlook and the Fed's Balance Sheet: The Issue of "How" versus "When"", Remarks at the Association for a Better New York Breakfast Meeting, available at http://www.newyorkfed.org/newsevents/speeches/2009/dud090729.html Jakad, Z. and Kumhof, M. (2015), "Banks Are Not Intermediaries of Loanable Funds - and why this Matters", Bank of England, Working Paper 529, May 2015 King, M. (2012), Speech to the South Wales Chamber of Commerce at the Millenium Centre, Cardiff, October 23. Ma, G., Xiandong, Y. and Xim L. (2011), "China's evolving reserve requirements", BIS Working Papers, No. 360, November 2011. Turner, A. (2013), "Credit, Money and Leverage", September 12. Sheard, Paul (2013), "Repeat After Me: Banks Cannot And Do Not 'Lent Out' Reserves", Standard & Poor's Rating Services, August 2013, New York Werner, R. (2014b), "How Do Banks Create Money, and Why Can Other Firms Not Do the Same?", International Review of Financial Analysis, 36, 71-77. See King (2012), "Banks Are Not Intermediaries of Loanable Funds - and why this Matters", pp. 6, cited in Zoltan Jakab and Michael Kumhof, Bank of England Working Paper 529, May 2015. See Dudley (2009), "Banks Are Not Intermediaries of Loanable Funds - and why this Matters", pp. 13, cited in Zoltan Jakab and Michael Kumhof, Bank of England Working Paper 529, May 2015. See Carpenter and Demiralp (2010), "Banks Are Not Intermediaries of Loanable Funds - and why this Matters", pp. 13, cited in Zoltan Jakab and Michael Kumhof, Bank of England Working Paper 529, May 2015. Equity Recommendations Fixed-Income, Credit And Currency Recommendations
The speed at which the health care sector has sunk toward the bottom end of this year's trading range has unnerved many investors. The hit to health care stocks reflects a rise in risk premiums related to concerns that the U.S. government will exert more control over price setting if the Democrats win the election rather than any immediate downshift in relative forward earnings drivers. The sector is extremely oversold, and once the election is over, attention will refocus on the relative forward earnings outlook. Our Indicators suggest that earnings momentum will stay positive. Our health care sector pricing power proxy has rebounded after cooling from red-hot levels, and is still much stronger than overall corporate sector pricing (second panel). That is confirmed by the pharmaceuticals producer price index, and employment cost index for health insurance, i.e. pricing strength is broad-based. There is still scant evidence of a downshift in consumer spending patterns in reaction to rising health care sector inflation. Real (volumes) personal spending on health care goods and services continues to grow at a mid-single digit rate, well in excess of the rate of overall consumption. That is consistent with ongoing earnings outperformance. Stay overweight.
This year's exodus from casual dining stocks has been justified on the basis of overvaluation and deteriorating industry performance. The National Association of Restaurants (NAR) survey of current performance has dipped into negative territory, as restaurant operators have reported a decrease in traffic. However, cost structures are being realigned to a more subdued sales run rate. The NAR survey shows that staffing plans are on the wane. That leads restaurant labor cost inflation. As the largest source of expenses, any decline in headcount would be welcome given that minimum wages in a number of states are set to climb next year. Restaurant sales growth has been unimpressive for the past several years. Subdued pricing power gains, and until recently, lackluster income growth among lower income consumers have weighed on revenue growth. The good news is that consumer confidence among low income earners is on the upswing. In addition, restaurant retail sales often follow the trend in the wealth effect. Financial wealth gains are rebounding, and provided the stock market does not suffer a sustained swoon, consumers' feeling of affluence may soon be bolstered. We recommended booking profits of 9% and lifted positions to neutral in yesterday's Weekly Report. The ticker symbols for the stocks in this index are: BLBG: S5REST - MCD, SBUX, YUM, CMG, DRI.
Highlights Portfolio Strategy Boost restaurant stocks to neutral, as same-store sales should improve next year. A further upgrade requires evidence of top-line traction. The exodus from health care stocks represents an overreaction rather than a downshift in fundamental forces. Stay long. Recent Changes S&P Restaurants Index - Upgrade to neutral for a profit of 9%. Table 1 Feature Equity market buoyancy remains a liquidity rather than an earnings story. Fed commentary and the trend in global bond yields, a reflection of the global central bank narrative, continue to exert an outsize influence on short-term price action and momentum. In the background, earnings are a wildcard. Companies may be surpassing beaten down third quarter estimates, but the path of profits over the next several quarters is by no means assured and will determine the durability of any stock market advance. Even excluding the persistent drag from narrowing profit margins, courtesy of falling productivity and increasing unit labor costs, it is dangerous to look at the corporate profit outlook through rose colored glasses. The low level of economic growth, both at home and abroad, represents a major hurdle to the corporate sector. Total business sales have climbed back up to zero, but it is premature to forecast meaningful growth ahead based on moribund global export growth (Chart 1), and/or leading economic indicators. After all, sales growth has been virtually non-existent for years, reinforcing that earnings per share have been driven by cost cutting and buybacks. While measured consumer price inflation has crept higher, corporate sector pricing power remains virtually non-existent. The producer price index is still deflating, despite the rally in oil prices. U.S. import prices are very weak (Chart 1). The negative global credit impulse warns that there is still no impetus to reinvigorate final demand, and by extension, global profits (Chart 1). It is hard to envision an economic reacceleration as long as the corporate sector is more inclined to retrench than expand, as heralded by stressed balance sheets and weak durable goods orders (Chart 2). Chart 3 shows BCA's two U.S. profit models. The first one is based on reflationary variables, such as the dollar, bond yields and oil prices. It is designed to predict the trend in forward earnings momentum. This model has troughed, but is not signaling any upside ahead in already exuberant analyst earnings estimates (Chart 3, second panel). Chart 1Without Sales Growth... Chart 2... And Rising Costs... Chart 3... How Much Can Profits Improve? The second model looks at macro data such as new orders, labor costs and productivity growth to forecast the trend in actual operating earnings. This model is slightly more optimistic (Chart 3, bottom panel), and signals a decisive end to the profit contraction, albeit not a growth rate sufficient to satisfy double-digit analysts forecasts or rich valuations. The U.S. dollar is a major wildcard, as any sustained strength would compromise earnings. Typically, major profit expansions only occur after the currency begins to depreciate and labor cost inflation ebbs (Chart 2). The late-1990s was an exception, as profits climbed alongside the currency and amidst rising wage inflation (Chart 2). However, that was during an economic and credit boom, two key factors that are conspicuously absent at the moment. Nevertheless, as discussed in past Weekly Reports, the flood of central bank liquidity could sustain the overshoot in equity prices for a while longer. Investors have demonstrated a willingness to look through soggy profits as long as the liquidity taps remain open. Despite the possibility of a stubbornly resilient broad market, we do not recommend interpreting it as a sign of economic vitality, and consider it high risk. Our portfolio strategy is based on expected sectoral earnings trends, as liquidity is subject to the whims of central bankers. We recommend a largely defensive sector portfolio, with some exceptions, as discussed in last week's Special Report. Our cyclical exposure remains confined to consumption-oriented plays; this week we are lifting our view on restaurants. Restaurants: Buying Into Weakness Investors have gravitated toward washed out deep cyclical sectors rather than consumption-oriented plays in recent months. However, we doubt this trend has staying power, as outlined in our Special Report last week. Consequently, it is time to revisit the outlook for shunned consumer sectors, such as restaurants. This year's exodus from casual dining stocks has been justified on the basis of overvaluation and deteriorating industry performance. The National Association of Restaurants (NAR) survey of current performance has dipped into negative territory (Chart 4), as restaurant operators have reported a decrease in traffic. One of the major drags on restaurant same-store sales has been the gap in restaurant inflation compared with the cost of food inflation for eating at home. Relative inflation has soared (Chart 5). That has caused relative spending growth at restaurants vs. at home dining to drop sharply, in real (volumes) terms. However, next year could be different. If the inflation gap falls, as predicted by the decline in relative spending (Chart 5), then restaurant traffic should stabilize. Importantly, the odds of budgets for dining out being pruned even further are low. As long as wages and salaries growth is decent and consumer income expectations are firm, consumers should still allocate a rising share to restaurants relative to eating at home (Chart 5). There is plenty of scope for relative restaurant spending to rise on a secular basis (Chart 5, bottom panel). Clearly, if relative spending were to reaccelerate too quickly, then the inflation gap would stay wide, and same-store sales growth would stay punk. That is a risk to an optimistic view of future restaurant traffic. But the good news is that cost structures are being realigned to a more subdued sales run rate. The NAR survey shows that staffing plans are on the wane. That leads restaurant labor cost inflation (Chart 4). As the largest source of expenses, any decline in headcount would be welcome given that minimum wages in a number of states are set to climb next year. In any case, the most potent profit elixir would be a recovery in top-line growth, sourced both domestically and from abroad. Restaurant sales growth has been unimpressive for the past several years. Subdued pricing power gains, and until recently, lackluster income growth among lower income consumers have weighed on revenue growth. The good news is that consumer confidence among low income earners is on the upswing (Chart 6), which bodes well for casual dining out in the coming quarters. If our bearish view on refiners and gasoline prices continues to pan out, then a windfall from lower fuel prices may further bolster the outlook. Chart 4Expenses Set To Ease Chart 5Inflation Gap Should Narrow Chart 6Sales Set To Stabilize... In addition, restaurant retail sales often follow the trend in the wealth effect (Chart 7). The latter has pulled back this year, owing to the equity market consolidation and house price correction. However, financial wealth gains are rebounding, and provided the stock market does not suffer a sustained swoon, consumers' feeling of affluence may soon be bolstered. Even marginal improvements in store traffic should be impactful to same-store sales. Restaurant chains have been in retrenchment mode since the Great Recession. Construction activity is historically low, which implies limited capacity expansion (Chart 7). Contribution from abroad may become less of a drag. The industry garners roughly 67% of sales from overseas. The strong U.S. dollar, particularly against emerging market currencies, has deprived the industry of sales strength. Moreover, even in domestic currency terms, emerging markets consumption has been through a difficult period, as the Asian Hotel and Restaurant Activity Proxy spent most of the last year in negative territory (Chart 8). But EM currencies have stabilized and Asian restaurant activity has climbed back into positive territory in recent months. The upshot is that foreign revenue could make up any lingering domestic sales slack. All of this suggests that leaning into share price weakness in anticipation of improved prospects next year makes sense. Nevertheless, the S&P restaurants index does not warrant a full shift from underweight to overweight. There could still be earnings/headline risk given lackluster readings in coincident activity indicators, despite McDonald's earnings beat last week. Valuations are not cheap. On a normalized basis, the relative forward P/E ratio has dropped below its average, but still trades at a premium to the broad market. A return to above average levels is possible if operating margins expand on the back of sales improvement (Chart 9), thereby sparking higher return on equity, but it may be too soon to position for such an outcome. Chart 7... Or Even Improve In 2017 Chart 8End Of Foreign Drag Chart 9Still Not Dirt Cheap Bottom Line: Lift the S&P restaurant index (BLBG: S5REST - MCD, SBUX, YUM, CMG, DRI) to neutral from underweight, locking in a profit of 9% since our underweight recommendation last November. Health Care Crunch: Buying Opportunity Or Trend Change? The speed at which the health care sector has sunk toward the bottom end of this year's trading range has unnerved many investors. In fact, the sector has dropped back down to the levels where we added it to our high conviction overweight list. The question now is whether our positive views still hold, and whether would we add here if we weren't long already, or if something more sinister is at work? The hit to health care stocks reflects a rise in risk premiums related to concerns that the U.S. government will exert more control over price setting if the Democrats win the election rather than any immediate downshift in relative forward earnings drivers. While it is impossible to forecast with any precision to what extent pricing models may or may not change, the political appetite may be low for another overhaul of the sector so soon after the Affordable Care Act was implemented. Regardless, several observations suggest that the sector may already be undershooting, i.e. a Democratic victory is already discounted. Relative performance has experienced a clear uptrend over the last forty years, with cyclical swings oscillating around its upward sloping trend-line (Chart 10). It would be extremely rare for a bull phase to peak prior to hitting at least one standard deviation above trend. Instead, the price ratio hit trend and is now not far above one standard deviation below trend, a level one would normally equate with an economic boom when capital flowed to high-beta sectors. Cyclical technical measures also point to an undershoot. Our Technical Indicator has hit an oversold extreme (Chart 11), signaling that the sell-off is in the late stages. Our relative advance/decline line has also stayed firm, suggesting that the decline in the overall sector has not been broad-based (Chart 11). Chart 10Time To Buy, Not Sell Chart 11Buying Opportunity Whether a wholesale flight from the sector, and all defensives in general, looms is largely contingent on the path of inflation expectations, which have been in a multiyear decline. This trend reflects anemic global final demand and the repercussions from over-indebtedness. Lately, inflation expectations have firmed, but that may largely reflect the rebound in oil prices courtesy of hopes for an OPEC production cut, given the lack of confirming indicators of growth acceleration and renewed strength in the U.S. dollar. The latter is testing the top end of its recent range (Chart 11, shown inverted, bottom panel), and it would be highly unusual for inflation expectations to rise concurrent with the U.S. dollar. In a world of zero interest rates and limited aggregate demand strength, a strong currency is deflationary, especially for corporate profits. Those conditions keep bond yields low, and push capital into long duration sectors. Once the election is over, attention will refocus on the relative forward earnings outlook. Our Indicators suggest that earnings momentum will stay positive. Our health care sector pricing power proxy has rebounded after cooling from red-hot levels, and is still much stronger than overall corporate sector pricing (Chart 12, second panel). That is confirmed by the pharmaceuticals producer price index, and employment cost index for health insurance, i.e. pricing strength is broad-based. There is still scant evidence of a downshift in consumer spending patterns in reaction to rising health care sector inflation. Real (volumes) personal spending on health care goods and services continues to grow at a mid-single digit rate, well in excess of the rate of overall consumption (Chart 12). That is consistent with ongoing earnings outperformance. As noted in past research, the time to forecast negative relative earnings momentum is when consumers balk at higher prices. So far, a few high profile cases of exorbitant drug price increases have grabbed the spotlight, but in aggregate, consumers are not voting with their wallets. The biggest tangible negative for the health care sector may be that shares outstanding are no longer falling (Chart 13). That mirrors overall buyback activity, which has cooled markedly on the back of balance sheet deterioration and waning free cash flow. We doubt the supply of health care stocks is going to rise much, however, because the sector is in good financial shape, earning healthy returns and is not dependent on external financing. Chart 12Demand Driven Pricing Power Gains Chart 13Buybacks Are Dwindling Bottom Line: Health care sector risk premiums have climbed in response to polling results, but an apolitical check on relative earnings drivers and valuations points to a buying opportunity. Current Recommendations Current Trades Size And Style Views Favor small over large caps and growth over value.
Highlights The path of the least resistance for the U.S. dollar is up; this has far-reaching implications for monetary policy, global growth dynamics and asset prices. Dollar strength reinforces our view to overweight defensives vs. cyclicals and is a headwind to overall S&P 500 profits. Most of the gap between core CPI and core PCE can be explained by the medical care component. Overall, core PCE is likely to reach 2% over the next several months; a strong dollar means core goods PCE deflation will be sustained, but rising wage costs will put upward pressure on service sector inflation. Feature Amid the ongoing U.S. elections and Q3 earnings uncertainty, one of our higher conviction views is the likelihood of U.S. dollar appreciation. Our reasoning is straightforward: interest-rate differentials are the strongest 12-18 month predictor of currency trends,1 and relative economic performance between the U.S. and the rest of the world suggests that the gap between U.S. monetary policy and elsewhere will stay wide, and perhaps even widen (Chart 1). Chart 1Interest Rates And The Dollar Moreover, as we showed last week, the trade-weighted dollar provides good insurance against a variety of downside equity risks, even when a financial calamity occurs on U.S. soil. We remain dollar bulls. However, that does not mean that the outlook is without risk. The implications of further dollar strength are wide-ranging: How does dollar strength impact inflation expectations and monetary policy? How does the rest of the world cope with a rising U.S. dollar? How does the S&P 500 stand up to further dollar appreciation? Monetary Policy And The Dollar We have discussed the ramifications of the Fed Policy Loop, the interplay between Fed policy and financial conditions, since September 2015 (Chart 2). Since last year, each hawkish move from the Fed has been met by a sharp upward adjustment in the trade-weighted dollar and a sell-off in equities and credit spreads. Tighter-than-expected financial conditions have then forced the Fed to lower its outlook for future economic growth and adopt a more dovish policy stance. A more dovish Fed then caused financial conditions to ease and the dollar to fall, and this easing eventually emboldened Fed policymakers to move in a more hawkish direction. The loop then repeats itself. The reason this loop has been in place is because U.S. monetary policy is so far in advance of other central banks. For example, the ECB and BoJ continue to try to find ways to stimulate their economies, while the Fed is gearing up for a second rate hike. The point is that this feedback mechanism means that monetary conditions tighten in the form of a rising dollar, even without the Fed hiking interest rates by very much (Chart 3). The implication for investors is also clear: for equities, even though overall monetary conditions can tighten, rate-sensitive, domestically-exposed sectors such as telecoms can still perform well, because the tightening is coming mainly through the currency, rather than interest rates. For bonds, the policy loop means that sell-offs are likely to happen in fits and starts: the Fed knows that the process of normalizing interest rates will trigger bouts of volatility, because their actions are being exaggerated by movements in the dollar. This is one reason why we are not more eager to move aggressively underweight duration. Chart 2The Fed Policy Loop Chart 3Dollar To Do The Fed's Lifting? ROW And The Dollar Dollar strength, in the context of a robust U.S. economy, can be a good thing for some parts of the world. For example, a strong dollar means that European and Japanese exports will be more competitive. In this benign context, currency strength acts a growth re-distributor, taking growth away from the U.S., but transferring it to others, where the currency has been devalued. Our concerns focus squarely on emerging markets. Since the early 1980s, there have been no periods when EM share prices rallied amid strength in the real broad trade-weighted U.S. dollar (Chart 4). Chart 4EM Stocks Don't Like Dollar Strength It is significant that financial markets panicked in August, 2015 when the RMB was devalued by 2% ahead of the Fed's warning about a rate rise, and amid broad based U.S. dollar strength. True, the RMB has weakened periodically since then, without any real fallout for risk assets. Nonetheless, it is hard to say that the global economy - and China for that matter - is in significantly better shape than when the Fed began televising the last rate hike. We do not offer a forecast on the likelihood of further RMB devaluation. However, recent history is a reminder that dollar strength risks creating volatility in global markets. The latter would be especially true if worries about the EM credit cycle resurface. S&P 500 And The Dollar In the last major dollar bull market (1994-2002), U.S. stocks strengthened alongside the rise in the currency, offering some historical support that dollar strength does not necessarily hinder stock market performance. However, the global backdrop during that era was distinctly different from today. During the last half of the 1990s, the entire global economy experienced a supply-side, disinflationary expansion and credit binge. The U.S. was at the forefront of that expansion, and pulled the rest of the world (ROW) along for the ride. In other words, the U.S. and ROW were all moving broadly in the same direction. Today, the global economic backdrop is starkly different. Europe, Japan and China are all battling deflation and the major distinguishing trait of this business cycle is deficient demand and the need to de-lever. As we highlighted above, the U.S. has embarked on a gradual rate hike path, but most other central banks are trying new ways to reflate. In this world, currency movements act to re-distribute growth: a stronger currency can become a headwind to externally sourced profits, rather than a reflection of strong domestic demand. Indeed, the S&P 500 may become even more vulnerable to dollar strength: globally sourced profits as a share of overall S&P 500 profits has been in a steady climb over the past twenty years. Chart 5 shows that net earnings revisions are especially sensitive to currency moves, suggesting that further dollar appreciation would undermine already very lofty earnings expectations and would be a headwind for the broad market. Chart 5Beware The Dollar Drag From a sector perspective, dollar strength has already become problematic and is a main reason why we continue to advocate for defensive stocks relative to cyclical plays. Our U.S. Equity Strategy service published a Special Report on this topic last week.2 The Report outlined a seven item checklist of factors needed before tilting positions in favor of cyclicals. The first item on the list is dollar weakness. The full checklist is here: Chart 6Stick With Defensives Broad-based U.S. dollar weakness, particularly against emerging market currencies in countries with large current account deficits. An end to Chinese manufacturing sector deflation. A decisive upturn in global manufacturing purchasing manager's indexes. A return to growth in global export volumes and prices. A resynchronization in global profitability such that U.S. profits were not the only locomotive. A rebound in global inflation expectations. China credibly addressing banking sector weakness to the point where economic growth can reaccelerate rather than move laterally. Most of the items remain unfulfilled and our U.S. equity strategists believe that over the past several weeks, a technical adjustment has occurred in equity markets, rather than a fundamentally-driven trend change. In fact, the cyclical vs. defensive share price ratio appears to now be overshooting after having undershot. We expect leadership to revert back to non-cyclical sectors once the current rotational correction has run its course, given the lack of confirmation from the bulk of the macro variables on our checklist (Chart 6). The bottom line is that the U.S. dollar's path of least resistance is to trend higher. Dollar strength has already become restrictive for some U.S. industries, and unlike the late 1990s, we are concerned that further currency appreciation will act to restrain profit growth, rather than be reflective of a stellar domestic backdrop. Still, the Fed and other central banks' actions have proven to so far be a powerful antidote to earnings concerns: as long as the liquidity taps remain open, investors are willing to look through profit disappointment. We continue to recommend benchmark weightings to equities, but are highly attuned to this profit risk. What Is The True Inflation Rate? The Fed's target is 2% inflation. Core CPI has been above this rate for eleven months, implying that if the Fed's target was based on this measure, policymakers would have been much more aggressive in hiking interest rates. But the Fed's preferred measure, core PCE, is still stuck below the target. The CPI and PCE usually move together. The correlation between the two series is about 98% and divergences tend to be short-lived (Chart 7). Thus, the choice between the two series is often irrelevant, although the recent gap raises an issue for the Fed and the bond market: which measure is currently telling the right story? First, there are many alternative measures of inflation and in Chart 8, we show a selection of them. The median CPI uses the middle or median price change as its estimate of the underlying rate of inflation, irrespective of its share of the overall basket. The trimmed mean CPI removes the most volatile components of the index. The market-based PCE measure of inflation addresses concerns about using "imputed" prices (such as financial services furnished without payment) by leaving them out. Incidentally, this latter series, which is currently somewhat weaker than core PCE, is giving a similar inflation signal to our corporate price deflator. Together, these two measures suggest that the business sector is faced with a much tougher pricing backdrop than the core PCE and core CPI suggest. Chart 7Core CPI And Core PCE Usually Say The Same Thing Chart 8Various Alternative Measures Unfortunately, none of these alternative measures offer reliable leading information and do not help in understanding the divergence between core CPI or core PCE. However, understanding how the indexes are constructed does uncover important differences. Core CPI And Core PCE Explained The core CPI is a fixed-weight index while the personal consumption expenditure is chain-weighted. A fixed-weight index uses a constant basket of goods and tries to determine how much more an individual pays for an identical basket today versus a base year. A chain-type index measures how much it costs to a constantly evolving basket. The latter should be more representative of consumers' evolving buying habits. Historically, the different weighting methodology explains most of the gap between CPI and PCE inflation rates. The remainder of the gap is accounted for largely by the difference in the size of the weights used for the medical and housing components. Housing accounts for 40% of core CPI and only 17% of core PCE. Medical care accounts for 7% of core CPI versus 18% of core PCE. Currently, the gap between core PCE and core CPI is mostly explained by the medical care component (both the relative weights, but also the underlying prices used). In the CPI, only the portion that consumers spend on health care is taken into account, but the PCE also includes the amount that government agencies spend on consumers' behalf. The pricing information on the government funded portion is estimated from the PPI, which sometimes gives a different signal than the data supplied to the CPI from the consumer expenditure survey. The gap between medical care PCE and CPI has become particularly pronounced in the past few years. There is a lot of confusion about what is driving the spike in CPI medical care costs, with some pundits trying to find a political angle. Some blame higher insurance rates, while others blame drug costs. In fact, as Chart 9 shows, all elements of medical care CPI have contributed to the surge. Meanwhile, core PCE shows that medical care inflation has in fact been contained, some say, due to the enactment of the Affordable Care Act (a.k.a. Obamacare). It is not clear that this is the full story and forecasting future rates of inflation specifically in this sector is beyond the scope of this report. Over the next six to twelve months, we would expect some convergence between the two inflation gauges, as CPI medical care inflation peaks. More specifically, we would not be surprised to see the core PCE move slightly above 2%, but we think it is unlikely that much of an overshoot of the Fed's target can occur. Chart 10 shows the major components of CPI and we note the following: Chart 9Medical Care##br## Inflation Is Tricky Chart 10Major Components Of##br## Inflation At Crosscurrents Goods prices continue to fall. If our strong dollar view proves correct, deflation in this sector may persist for years. Recall that throughout the economic recovery in the first half of the previous decade, core goods price deflation persisted; that was during a dollar bear market. This time, dollar strength is likely to keep an even tighter lid on imported prices. Non-shelter service price inflation appears to be rolling over, after a surge earlier this year. The key for core service price inflation is wage pressures, since labor costs are the most significant input cost to U.S. service businesses. For core service price inflation to sustainably break above 3%, i.e. to return to the pre-Great Recession range, recent wage trends will need to be sustained, if not accelerate. Shelter prices are the most difficult segment to forecast. Our model for shelter inflation has flattened out, owing to a decline in market-tightness in multi-family properties. A reasonable working assumption is that shelter inflation stays around 3%, which is roughly the rate of shelter inflation that persisted prior to the housing bubble of the previous decade. Adding it up, core inflation is likely to drift gradually up: service sector inflation will likely trend higher with wage growth, but deflation in the goods sector will provide somewhat of an offset. The Fed has initiated interest rate hikes in the past when core PCE was under 1.5%, so there is historic precedent for policymakers to hike rates before the 2% target is achieved. Of course, this cycle is very different and there has been much talk of the need for policymakers to err on the side of ease for even longer, i.e. allow inflation to run much higher than 2%. Recent Fed communication suggests that a December rate hike is most likely, unless the data significantly worsen in the meantime. Thereafter, if our inflation view is correct, the Fed will find little reason to hike more than twice in 2017. Note: Last week, I had the pleasure of participating in our Geopolitical Strategy service's webcast on the upcoming U.S. Elections. In addition to a well-rounded debate on the U.S. political situation, we also discussed the present economic and investment landscape. To listen to the replay, please go here: www.bcaresearch.com/webcasts/index/131 Lenka Martinek, Vice President U.S. Investment Strategy lenka@bcaresearch.com 1 Please see Foreign Exchange Strategy Weekly Report "Dollar: The Great Redistributor", dated October 7, 2016, available at fes.bcaresearch.com 2 Please see U.S. Equity Strategy Special Report "Defensive Dominance Has Bent, But Will Not Break", dated October 17, 2016, available at uses.bcaresearch.com Appendix Monthly Asset Allocation Model Update Our Asset Allocation (AA) model provides an objective assessment of the outlook for relative returns across equities, Treasuries and cash. It combines valuation, cyclical, monetary and technical indicators. The model was constructed as a capital preservation tool, and has historically outperformed the benchmark in large part by avoiding major equity bear markets. Please note that our official cyclical asset allocation recommendations deviate at times from the model's recommendation. The model is just one input to our decision process. The model's recommended weightings for the major asset classes remained unchanged this month: neutral equity exposure at 60% (benchmark 60%), slightly overweight Treasury allocation at 40% (benchmark 30%) and underweight cash at 0% (benchmark 10%). The neutral portfolio recommendation for equities is in line with our qualitative defensive stance, in place since August 2015. Although the technical and monetary components of the equity model are still favorable, the earnings-driven component continues to warn that profits are likely to remain lackluster, especially relative to expectations. The allocation for a slight overweight in Treasuries continues to be supported by all three components of the bond model: valuation, cyclical and technical. While the valuation component continues trending towards expensive territory, a "buy signal" still exists for now. The cyclical and technical components of the bond model have retraced some of their bullish signals, but both still maintain a preference for Treasuries, especially relative to cash. Chart 11Portfolio Total Returns Chart 12Current Model Recommendations Note: The asset allocation model is not necessarily consistent with the weighting recommendations of the Cyclical Investment Stance. For further information, please see our Special Report "Presenting Our U.S. Asset Allocation Model", February 6, 2009. Market Calls
Special Report Dear Client, I am on the road visiting clients in Toronto, Chicago, and Wisconsin this week, and as such there will be no regular Weekly Report. Instead, we are sending you a Special Report written by my colleague Marko Papic, Chief Strategist of BCA's Geopolitical Strategy service. In this report, Marko argues that Hillary Clinton has not yet sealed the election, despite her high odds of winning. I hope you will find this report both interesting and informative. Best regards, Peter Berezin, Senior Vice President Global Investment Strategy Highlights Clinton has a 65.5% chance of winning the presidency. A Trump win requires a surprise - such as in voter turnout. Still, we doubt Trump can punch more than 3% above his polling. Regardless of the outcome, multinational corporate profits will suffer. Go long the USD. Feature With the conclusion of the final presidential debate on October 19, the U.S. election is now in its final inning. Donald Trump's chances of mounting a comeback are slipping away (Chart 1). Could there be a Brexit-like surprise for the markets on November 8? And what are the investment implications of this year's unprecedented election? How Trump Can Still Win... Paddy Power, one of the world's biggest bookies, has begun to pay out bets to people who had wagered on Secretary Hillary Clinton winning the election. Meanwhile, according to Nate Silver, America's statistical Geek-in-Chief, Donald Trump has a meager 13.7% chance of winning the election.1 While our own model gives Clinton a 65.5% chance of winning, we have not forgotten Yogi Berra's wisdom: "It ain't over till it's over." There are three reasons why we would have held onto the pay-outs if we ran Paddy Power: Turnout assumptions could be wrong: Silver's quant model - and ours - is based on the assumption that the publically available opinion polls are high-quality data points. To iron-out the noise of an occasional bad poll, political analysts aggregate the polls to create a "poll-of-polls." The problem is that this method is mathematically the same as combining bad mortgages into securities. The idea is that each individual object (mortgage or poll) may be flawed, but if you get enough of them together, the problems will all average out and you have a very low risk of something bad happening.2 If there is a bias that is common to a large part of the data, then you are in real trouble. And why would there be a bias in election polls? For one, polling is not a science. It is an art. To extrapolate the results of an opinion survey of ~1,000 individuals to the general election of ~130 million people, polling professionals have to make turnout assumptions that are based partly on previous elections and partly on guesswork. This year, these assumptions are notoriously difficult to make as both candidates are extremely unpopular (Chart 2). This is bound to throw off pollsters' assumptions and may partially explain the regular gyrations that can be gleaned in Chart 1. For Secretary Hillary Clinton, the problem is compounded by the fact that she requires a high turnout to win. She needs the "Obama Coalition" of minorities and Millennial voters to show up as they did for President Barack Obama in 2008 and 2012. But we know that she struggled with the latter, with Senator Bernie Sanders picking up 70% of the youth vote in the Democratic primaries (Chart 3). If the 2016 turnout resembles the turnout from mid-term elections - which Republicans have generally won this century - then Trump could still have a chance. People may be lying: Another concern for Clinton is that she may be the 21st century Tom Bradley. Bradley was an African-American Mayor of Los Angeles who lost the 1982 California governor's race despite being ahead in the polls right up until election day. The "Bradley effect" theory goes that white voters lied when answering the polls in 1982 for fear of appearing racially prejudiced. Today, voters may be telling pollsters what they think is "politically correct," thus favoring Clinton in the polls. In the same vein - but ideologically opposite - the former Imperial Wizard of the Knights of the Ku Klux Klan, David Duke, outperformed expectations in both the 1996 U.S. Senate election and the 1999 special election for Louisiana's First Congressional District. He lost both elections, but he managed to garner double-digit support both times. More recently, the June 23 Brexit vote surprised markets. In our view, investors and betting markets underestimated Brexit largely in spite of polls, which had been close throughout the campaign stage (Charts 4 and 5). BCA's Geopolitical Strategy outlined the case for why the probability of Brexit was much higher than the market assumption as early as March.3 Our concerns began to manifest in the polls with the "Leave" camp comfortably ahead throughout June. And then, from June 16 (one week before the vote) to June 23, the "Stay" vote surged ahead in the polls, garnering a 4% lead the day before the election. This surge in the last week was clearly false, as the "Leave" camp won by a 3.8% margin, a 7.8% swing on the day of the election. So, what happened? The vertical line in Chart 5 shows the day that Member of Parliament Jo Cox was murdered by a British ultra-nationalist. Our guess is that the stunning political assassination - an extremely rare event in the U.K. - created a "Cox effect" in the Brexit polling. Those who were polled may have mourned for Cox, or resisted being associated with the extreme views of a self-professed neo-Nazi, yet they silently stuck to their legitimate concerns regarding EU membership on the day of the referendum. Chart 4Online Betting Got Brexit Wrong... Chart 5...So Did Prominent Opinion Polls The Brexit example illustrates that lying to pollsters is not something that only happens in the past. It has happened as recently as June. Given Donald Trump's controversial statements - and particularly his misogynist rants going back to 2005 - American voters may be lying to pollsters when it comes to their choice for president. Chart 6Media Narratives Are Cyclical Media narratives: As our geopolitical team has stressed throughout this election, the news media work through narratives (Chart 6). These narratives appear to have influenced polls, leading to regular gyrations in support levels for the two candidates. Will the media have another "comeback kid" narrative for Trump in store ahead of the election? It cannot be discounted. And if the polls tighten to the 0-3% range again, the turnout concerns and the "Bradley/Cox effect" from above could be enough to swing the election for Trump. Bottom Line: Clinton remains the favorite to win the election, but her probability of winning is closer to 65.5% than the 85% that appears to be "priced in the market." ...And Why He Will Not Win While we are not comfortable calling the election a "done deal," we do believe that Clinton is a favorite. The BCA Geopolitical Strategy quantitative model predicts that she has about a 65.5% probability of winning.4 And the team's qualitative analysis of Trump's electoral strategy suggests that the hurdles to his victory are considerable, particularly in swing states Virginia and Colorado. Before we introduce the quantitative and qualitative models that underpin our election forecast, let us address the above concerns about turnout and the "Bradley/Cox effect" head on. In our view, the polls are telling the truth. We concede that Trump's support level may be underestimated by approximately 3%, which would not be out of line with the last five presidential elections (Chart 7). However, a Clinton lead greater than ~3% the day of the election will be insurmountable for four reasons: GOP primary: It was not the polling that got Trump wrong during the Republican primary race, but the pundits. The polls were generally accurate, particularly those in the swing states where polls tend to be frequent and sophisticated (Chart 8). Polls only underestimated Trump by more than 3% in Illinois, Massachusetts, New York and Pennsylvania. Some of Trump's most controversial statements were made in late 2015 and early 2016 and yet they prompted no shame from his supporters when answering pollsters' questions. Turnout seesaw: Trump's strategy - which we dubbed "The Great White Hype" back in March - is a serious and mathematically viable electoral strategy.5 The effort focuses on boosting the GOP share and overall turnout of the white, blue-collar voter. The problem with this strategy, as executed by Trump, is that its effect could be a seesaw. Trump's rhetoric and policy proposals may appeal to less-educated, lower-income white voters, but may also reduce his support among well-educated, upper-income voters. This is a serious problem for Trump given that the 2012 exit polls indicate that Romney won college graduates by 4 points and voters earning $100k or above by 10 points. In other words, upper-income, well-educated voters are a key constituency of the Republican Party. And just as Clinton may have trouble getting Millennials and minorities to vote for her by the same margin as they did for Obama, Trump could be struggling to get key conservative constituencies out as well. Debates: All scientific polls taken after the debates have Hillary Clinton as a clear winner (Chart 9). This may seem surprising given the reaction of many pundits that Trump outperformed the very low expectations for him in the debates. Many analysts scored the debates close, but voters did not. Why? Because independent and undecided voters are just now tuning into the election and want to see candidates discuss serious policy issues and show leadership. Political science research shows that the direct influence of party identification decreases in presidential elections over time, but issues gain importance, especially after the presidential debates.6 As such, voters tuning into the debates were not discounting Trump's fiery rhetoric and behavior, they were appalled by it. We can't say we were surprised, as we have been showing Chart 10 to clients since February. Senate: If voters are hiding their true support level for Donald Trump, then their genuine preference should be revealed in Senate races where less controversial Republicans are contesting close elections. Instead, Republicans are on a path to lose four of their Senate seats, with another three in play (Democrats need four to take the Senate, assuming that Clinton wins the presidency, since Vice-President Tim Kaine would then cast the tie-breaking vote in that body). Democrats are ahead in Indiana, Illinois, Wisconsin, and Colorado. Nevada is also expected to stay blue. Missouri, New Hampshire, North Carolina, and Pennsylvania are all still in contention, despite the GOP incumbent advantage in all three. Bottom Line: Despite the challenges that this election presents - two highly disliked candidates, questions about turnout, and concerns about polling quality - we doubt that Donald Trump can surprise his poll numbers by more than ~3%. With Hillary Clinton up by 6.4% in the latest RealClearPolitics poll of polls, this means that Trump has to start rallying now if he is going to have a chance on November 8. What Do Our Quantitative & Qualitative Models Say? Our geopolitical team's quantitative model predicts that Hillary Clinton will win the election with 335 electoral votes. The model, built using historical macroeconomic and election data since 1980, has been projecting a strong Clinton victory for some time.7 It currently shows that Clinton already has 279 electoral votes from states where she has more than a 70% chance of winning (Chart 11). These results mean that even under the unlikely scenario in which the GOP wins all the remaining swing states (North Carolina, Arizona, Florida, Ohio, and Iowa), Clinton will still win the election, all other things being equal. Meanwhile, our qualitative model relies on testing Trump's electoral strategy - boosting the share of the white vote accruing to the GOP - in the real world. We concluded in March that Trump did have a path to victory, albeit a very narrow one. Our research showed that Trump's strategy is mathematically viable, at least in 2016 when the white share of the total population remains large enough. We specifically showed that Trump would only need to increase white voters' support by 1.7% and 2.9% in Florida and Ohio, respectively, to flip those states, which seems quite reasonable. We also pointed out that getting a 5.7% swing in Iowa could be feasible. On the other hand, we showed that "flipping" Midwest states like Michigan, Pennsylvania, and Wisconsin would require a very large swing of white voters in Trump's favor: 13.9%, 7.8%, and 8.1%, respectively. With those numbers, Trump would have to win nearly 70% of Michigan's white voters, 65% of Pennsylvania's, and 58% of Wisconsin's. Of the three, Wisconsin looks the most achievable. On the other hand, the GOP only managed to pick up 52% of the state's white share in 2004, the last time a Republican candidate for president won an actual majority of the popular vote since 1988. So, getting to 58% is a high bar given Wisconsin's recent electoral history. How did our qualitative model hold up in terms of state-by-state polling? It did really well! As we predicted, Trump has led the race or nearly led the race in Iowa, Florida, and Ohio (Chart 12). In Michigan, Pennsylvania, and Wisconsin, Clinton's lead has remained higher than 5% through most of the election cycle, even when the media narrative shifted against her (Chart 13). Chart 12The 'White Hype' Model Works Here Chart 13White Hype' Does Not Work Here If Trump were to win all the states that our White Hype model predicts as competitive, he would still be short of the necessary 270 electoral votes. Map 1 shows the ideal distribution of states for Trump, one that ignores the polls and assigns swing states to Trump or Clinton based on whether the White Hype model is feasible or not. Notice that the two remaining major states are Virginia and Colorado. For Trump to win this election, we believe that he needs to win one of the two (Colorado in combination with either Nevada or New Hampshire), in addition to all of Florida, Ohio, North Carolina, and Iowa. This is a tall order! Particularly given that his polling in Virginia and Colorado is poor (Chart 14). Chart 14Two Critical Swing States Bottom Line: BCA's Geopolitical Strategy quantitative and qualitative models both show that Hillary Clinton is a clear favorite to win the election, a view we have held since December 2015.8 Investment Implications: MNCs Vs. SMEs Our colleague Peter Berezin has already discussed the implications of a Trump victory: a stronger USD and a sell-off in stocks.9 We agree and would add that a rally in Treasurys would be likely in the event of a surprise Trump win (Chart 15). Chart 15Trump's Success Helps Safe-Haven Assets The rally in safe-haven assets would eventually give way, however, to a bear market in Treasurys as investors realized that Trump has no intention of controlling public spending or reining in the (already growing) budget deficit. Growth, and likely inflation, would surprise to the upside, allowing the Fed to hike rates beyond the 48 bps expected by the market through the end of 2018. We do not foresee that a Republican-held Congress would stand in Trump's way, despite the clear dislike between the Speaker of the House, Representative Paul Ryan, and Trump. Ryan would not go against a sitting president from the same party who just pulled off a revolutionary election. The entire House will face re-election in 2018 and moderate Republicans will be wary of standing up to Trump, lest he campaign against them in GOP primaries in a short two years. Investors are putting way too much faith in America's checks-and-balances to keep Trump from enacting his policies, at least in the short term. These are constitutional, legal, and technical checks, and political expediency often overrules all three. In case of a Clinton win, we would expect the House to remain controlled by the GOP. There are only about 38 truly competitive electoral districts in this race, according to The Cook Political Report.10 Given that the Republicans have a 60-seat majority in the House, a Democratic takeover would require Democratic candidates to defeat Republican Representatives in 30 out of 38 competitive districts. At best, this means that the current, market- bullish status quo of divided government will continue. With the House remaining in Republican hands, and Democrats clinging to a potential razor-thin control of the Senate (vulnerable to a post-Trump Republican comeback in 2018), the Clinton White House would be constrained on some of its most left-leaning policies.11 And what are the chances of cooperation on modest reforms? We think they are actually quite good. Unlike Obama, Clinton's victory will not be a popular sweep. She will not control Congress, she will likely receive less than 50% of the popular vote (due to the presence of two notable third-party candidates), and she will be the first candidate ever elected that has more voters saying they dislike her than like her. Therefore, the odds are slim that Clinton will come to power with the same level of confidence and agenda-setting vision as Obama did in 2008. Instead, we see two potential avenues for modest cooperation with the GOP-controlled House: Chart 16Corporate Taxes Have Bottomed Corporate tax reform: It is unlikely that we will see reform that lowers the already historically-low effective tax rates (Chart 16). However, broadening the tax base by closing various loopholes could be feasible. This will hurt S&P 500 multi-national corporations that have been able to lobby for special treatment over the past three decades. However, it will benefit America's SMEs, which are the backbone of employment and growth. Fiscal spending: Paul Ryan and moderate Republicans understand that there is a paradigm shift in America and that the median voter is moving to the left.12 After all, Donald Trump won the GOP primary with an unorthodox economic message that combined both left- and right-wing economic policies. As such, we would expect House Republicans to give in to a modest infrastructure spending plan from Clinton, in exchange for corporate tax reform. Even a modest plan could make a substantive difference for the economy given the high fiscal multipliers of infrastructure spending in an economy with low interest rates. This in turn would allow the Fed to surprise the markets with more than two rate hikes by the end of 2018 and thus sustain the USD bull market. If there is one trend that we are certain will end with the 2016 U.S. election, it is the dominance of American economic policy by the S&P 500, or perhaps the S&P 100. What Trump and Senator Bernie Sanders have shown is that challenging for the presidency no longer requires a cozy relationship with either Wall Street or the large multinational corporations (MNCs). We therefore do not expect a Clinton-Ryan coalition to care as much about the concerns of America's large corporations as otherwise might be the case. Policies that lead to higher effective corporate tax rates on major S&P 500 corporations, a dollar bull market, and higher wages are likely over the course of the next four years. The political pendulum is shifting in the U.S. and it should marginally favor growth, inflation, the USD, and SMEs.13 Marko Papic, Senior Vice President Geopolitical Strategy marko@bcaresearch.com 1 Please see FiveThirtyEight, "Who Will Win The Presidency?" dated October 20, 2016, available at fiverthirtyeight.com. 2 "You mean like the 2008 Global Financial Crisis?" Yes. Like that. 3 Please see BCA Geopolitical Strategy Special Report, "With Or Without You: The U.K. And The EU," dated March 17, 2016, available at gps.bcaresearch.com. 4 Please see BCA Geopolitical Strategy Special Report, "U.S. Election: Final Forecast & Implications," dated October 12, 2016, available at gps.bcaresearch.com. 5 Please see BCA Geopolitical Strategy and Global Investment Strategy Special Report, "U.S. Election: The Great White Hype," dated March 9, 2016, available at gps.bcaresearch.com. 6 Please see Andreas Graefe, "Issues and Leader Voting in U.S. Presidential Elections,"Electoral Studies 32:4 (2013), pp.644-657. 7 For the assumptions underpinning our model, we encourage clients to read BCA Geopolitical Strategy Special Report, "U.S. Election: Final Forecast & Implications," dated October 12, 2016, available at gps.bcaresearch.com. 8 Please see The Bank Credit Analyst Strategy Outlook, "Stuck In A Rut," dated December 17, 2015, available at bca.bcaresearch.com. 9 Please see BCA Global Investment Strategy Special Report, "Three (New) Controversial Calls," dated September 30, 2016, available at gis.bcaresearch.com. 10 Please see "House: Recent Updates," accessed October 20, 2016, available at cookpolitical.com 11 We believe that it will be very difficult, if not impossible, for the Democrats to retain a razor-thin majority in the Senate if they get one in November. First, Democrats will have to defend 25 Senate seats (including two allied independent seats) out of 33 in contention in 2018. Second, Democrats always see a drop-off in voter turnout and enthusiasm in mid-term elections. 12 Please see BCA Geopolitical Strategy Monthly Report, "Introducing: The Median Voter Theory," dated June 8, 2016, available at gps.bcaresearch.com. 13 Please see BCA Geopolitical Strategy Monthly Report, "King Dollar: The Agent Of Righteous Retribution," dated October 12, 2016, available at gps.bcaresearch.com. Strategy & Market Trends Tactical Trades Strategic Recommendations Closed Trades
Highlights When interest rates are ultra-low, central banks have no margin for policy error. A small loosening or tightening has the potential to produce either a stall or catastrophic turbulence. The analogy is flying a plane at high altitude. Bond investors should have a strong preference for U.S. T-bonds over German bunds (currency hedged). Currency investors should prefer the euro over the dollar. For equity investors, valuations do not appear structurally attractive anywhere, once a sufficient equity risk premium is factored in. But a setback in the region of 5-10% could create a tactical entry point. Feature As the ECB Governing Council convenes for its October monetary policy meeting, an experience familiar to pilots1 provides a perfect analogy for central banks' very limited margin for error. Pilots call the experience "flying in coffin corner." Chart of the WeekUnusually High Turbulence For The German 30-Year Bund Next time you're in a plane climbing to 35,000 feet, here's something to think about; or perhaps, not to think about. As the plane gains altitude, its stall speed increases while its upper speed limit simultaneously decreases. For the pilot, this means less and less margin for error (Figure I-1). The plane's stall speed is the minimum speed to generate sufficient lift. At higher altitude, as the air gets thinner, the stall speed increases. Meanwhile, the plane's upper speed limit is set by the speed of sound. Airliners cannot fly too close to the speed of sound because the sonic shockwave produces violent and catastrophic turbulence. At higher altitude, as the air temperature drops, so does the speed of sound. Which means the plane's upper speed limit decreases. By the time the plane has reached the rarefied atmosphere of 35,000 feet, these lower and upper speed limits are barely 25 knots (30mph) apart,2 leaving almost no room for flight data misinterpretation or pilot error.3 Hence, at high altitude pilots morbidly say they are "flying in coffin corner." Analogously, in the rarefied atmosphere of zero or near-zero interest rates, central bank policy is also in coffin corner. When short-term and long-term interest rates approach the zero bound, there is no room for economic data misinterpretation or policy error. A small loosening or tightening of monetary policy has the potential to produce either a stall or catastrophic turbulence (Figure I-2 and Chart of the Week). Figure I-1Flying At High Altitude ##br## Has No Margin For Error Figure I-2Monetary Policy At Ultra-Low Rates ##br##Has No Margin For Error Avoiding A Stall At today's zero or near-zero interest rates in the euro area, a small loosening of monetary policy risks stalling the banking system, and thereby stalling the economy. A bank's core business is simple. Take in deposits, and lend them out at a higher interest rate than the deposit-rate - with the difference in the two defining the bank's net interest margin. A part of the net interest margin is a compensation for the risk of non-performing loans. This should be profit-neutral if correctly priced. The other large part of the net interest margin comes from the interest rate term-structure, as loans tend to be long-term while deposits are short-term. Hence, all else being equal, the bank's profitability suffers as the term-structure flattens. For a while, the bank can protect its profitability by cutting the interest rate paid on short-term deposits to well below the policy rate. However, once the policy rate hits zero, this profit-protection strategy hits a wall - because a negative deposit rate would risk an exodus of deposits into cash or cash-substitutes. Alternatively, the bank could charge a higher rate to borrowers, but this would tighten credit conditions. The third possibility is for the bank to suffer a hit to its already-thin net lending margin, but this would also tighten credit conditions. The pressure on the bank's profitability and share price would increase the cost of equity, making it harder to raise capital (Chart I-2). Given that an insufficient capital buffer is a major constraint to euro area bank lending, this would be a de facto tightening of credit conditions. The paradox is that at the zero bound, the smallest additional monetary loosening - via interest rate cuts or QE - risks stalling euro area bank credit creation (Chart I-3). Thereby it risks stalling economic growth. Chart I-2The ECB's QE Has Hurt Bank Valuations Chart I-3The Interplay Between Bank Profits And Bank Credit Creation Avoiding Violent Turbulence An extended period of ultra-low interest rates, and a commitment to keep them structurally low, has compressed the yields on government bonds pushing up their prices. As competing asset classes, the prices of corporate bonds and equities have also increased. This phenomenon is called the Portfolio Balance Effect. The big problem is that the prices of riskier assets have increased by more than is justified by the portfolio balance effect alone. This distortion is the result of a behavioural finance phenomenon called Mental Accounting Bias. Mental Accounting Bias describes the irrational distinction between the return from an investment's yield and that from its capital growth. The distinction is irrational because the money that comes from yield and the money that comes from capital growth is perfectly fungible.4 Rationally, what should matter is an investment's total return. But psychologically, the distinction between yield and capital is very stark. Fears about self-control cause people to compartmentalise yield as spending money and capital as saving money. Hence, people who want their investments to generate spending money - say, retirees - have an irrational focus on yield. Traditionally, the safe income from cash and government bonds satiates the people who irrationally focus on yield. However, in recent years, central banks' extended experiments with ZIRP, NIRP and QE have forced these yield-focussed investors out of cash and government bonds into risky investments. And just like every distortion, this phenomenon has generated memes to justify the act: 'reach for yield', 'search for yield', and 'there is no alternative' (TINA). But the irrational focus on yield instead of total return has artificially bid up the prices of risky investments. To the point that they no longer offer a sufficient risk premium5 for the very real possibility of substantial losses over a 5-10 year horizon (Chart I-4 and Chart I-5). The unfortunate thing is that as central bankers have little expertise in psychology or behavioural finance, they have been blind to the very dangerous behavioural distortion that their monetary policy experiments have unwittingly unleashed. Chart I-4A Positive Yield On Equities##br## Can Produce A Negative 5-Year Return... Chart I-5...And Even A Negative ##br##10-Year Return The risk is that the smallest monetary tightening could trigger an aggressive unwinding of this behavioural distortion. Recall the violent turbulence in global financial markets at the start of the year after just one 25bps rate hike from the Federal Reserve. Now consider what might happen if the Fed hiked again and the ECB simultaneously announced a rapid tapering of its QE program. How Must The Pilots Fly? In a rarefied atmosphere, pilots have very little margin to alter speed without inducing a stall or violent turbulence. The same applies to central banks today. The ECB has the hardest piloting task. It is becoming difficult to justify the current aggressive pace of QE given the danger of stalling the euro area banking system; and given that the euro area's nominal GDP and nominal wage bill are both growing at a very respectable 3% (Chart I-6). But an abrupt end to the ECB's QE could create violent turbulence in QE-distorted financial markets. Chart I-6What Deflation Threat? Euro Area Nominal GDP And The Wage Bill Growing At 3% Hence, the ECB's best course of action is to hint at a very gradual deceleration of QE to start at some point in the second half of 2017. Turning to developed economy central banks in general, we remind readers of a very powerful observation. Since 2008, no major central bank has been able to hike interest rates by more than 1.75%. And every central bank that has hiked rates has had to start unwinding those hikes within a year, ultimately taking the policy rate to a new all-time low (Chart I-7 and Chart I-8). Chart I-7Since 2008, All Rate Hikes ##br##Have Been Quickly Reversed Chart I-8Will The U.S. Be ##br##Any Different? No Given the turbulence that rate hikes will generate in the financial markets and/or the economy, we fully expect the Federal Reserve to go through exactly the same experience. The important upshot is that global central bank policy through 2017-18 will be considerably less divergent than is discounted. Bond yields could creep higher in the short term. But on a 1-year horizon, bond investors should have a strong preference for U.S. T-bonds over euro area bonds, and especially over German bunds (currency hedged). Over the same horizon, currency investors should prefer the euro over the dollar. For equity investors, valuations do not appear structurally attractive anywhere once a sufficient equity risk premium is factored in. Moreover, the potential for ECB QE-tapering combined with expectations for a Fed rate hike could generate some near-term turbulence. That said, a setback in the region of 5-10% could create an excellent entry point for a 3-month trade. Dhaval Joshi, Senior Vice President European Investment Strategy dhaval@bcaresearch.com Fractal Trading Model* There are no new trades this week. Last week's long silver/short lead pair trade has bounced sharply. And the short U.K. A-rated corporate bonds trade has achieved its 4% profit target. 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-9 * 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 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. 1 Your author is a former pilot in the Royal Air Force reserve. 2 For an Airbus A330. 3 Tragically, a combination of flight data misinterpretation and pilot error at 35,000 feet was disastrous for Air France flight AF447 flying from Rio de Janeiro to Paris in June 2009. Going through a storm, the airspeed indicator started giving a false reading and the pilot took the wrong corrective action, resulting in a catastrophic stall. 4 Assuming no difference in tax treatment of income and capital gains. 5 Please see the European Investment Strategy Weekly Report "The Great Distortion... And How It will End" dated September 15, 2016 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 ##br##- Interest Rate Expectations Chart II-6Indicators To Watch##br## - Interest Rate Expectations Chart II-7Indicators To Watch##br## - Interest Rate Expectations Chart II-8Indicators To Watch ##br##- Interest Rate Expectations