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Technology

After an M&A driven outperformance phase, semiconductor stocks appear to be putting in a major top. M&A activity has plunged, warning that deal premiums are likely to be removed from valuations. The recovery in global chip sales growth also looks to be at risk. Our global chip sales model has rolled over, reflecting softening new order growth in a number of chip-intensive industries. If top-line growth begins to recede, then the tentative trough in chip inventories is likely to turn into a full blown rebound. History shows that the highly anticipatory chip index fares poorly when chip supply accelerates. The latter signals that future chip output will decelerate, revealing the downside of a cyclical business with high operating leverage. Our Chip Stock Timing Model, a combination of technical and fundamental forces, has dropped sharply in recent weeks, reinforcing that relative performance is at serious risk. Stay underweight. The ticker symbols for the stocks in this index are: BLBG: S5SECO - INTC, QCOM, TXN, AVGO, NVDA, ADI, MU, SWKS, LLTC, MCHP, XLNX, QRVO, FSLR.
Data processing stocks have been in a consolidation phase, but this increasingly appears to be a trend change rather than a continuation pattern. The economic backdrop is no longer conducive to capital inflows. Data processing companies enjoy hefty recurring revenue but have lower economic leverage than much of the corporate sector. As such, when growth and inflation expectations climb, capital inflows tend to wane (inflation expectations shown inverted, middle panel). Meanwhile, top-line growth has been in a funk of late, even though companies have made a significant investment to boost marketing, as evidenced by the surge in SG&A, but so far, this has sapped margins more than stoked revenue. Importantly, Visa has recently provided a fee break to retailers, who are increasingly banding together to put pressure on the industry to lower fees. Amidst increased competition on the payments processing side, this trend is likely to be structural and put downward pressure on profit margins. We shifted from overweight to underweight in yesterday's Weekly Report. The ticker symbols for the stocks in this index are: V, MA, PYPL, ADP, FIS, FISV, PAYX, ADS, GPN, WU, TSS.
Highlights Portfolio Strategy The market has quietly adopted a less cyclical sectoral tone since yearend, a trend that could amplify over the coming months, even if overall appreciation persists. Defense stocks have grown into previously extended valuations, warranting ongoing above-benchmark exposure. The opposite is true for aerospace equities. Data processing shares are more likely to roll over than break out and we recommend paring positions to underweight. Recent Changes S&P Data Processing - Downgrade to underweight from overweight. Table 1 Feature The stock market has cheered the broad-based rebound in earnings and improvement in corporate sector pricing power (Chart 1). Unbridled optimism about growth friendly policy tilts including potential tax reform and select regulatory relief combined with an easing in financial conditions have encouraged investors to make large down payments against expected future profit gains. Indeed, extreme economic and earnings bullishness is evident in record setting price/sales (P/S) multiples: Chart 1 shows that on a median basis, the industry group (P/S) ratio is far above the 2000 peak, providing yet another metric in a long list of yardsticks signaling that greed is the overriding market emotion. Nosebleed valuation levels are cause for significant cyclical concern, but as discussed last week, momentum and a valuation-agnostic transition from fixed income to equities are the dominant tactical forces at the moment. Since it is difficult to reconcile valuations at odds with realistic expectations about future earnings growth, we remain focused on sub-surface positioning to indemnify against disappointment. Since late last year, the market has adopted a more defensive than cyclically-oriented tenor. Defensive sectors have troughed at extremely attractive relative valuation levels, based on our models (Chart 2). Conversely, cyclical sectors have rolled over, meeting resistance at very demanding valuation levels of more than two standard deviations above normal (Chart 2). Chart 1Future Growth Has Been Paid For Already Chart 2The Market Tone Is Changing Contrarians should take note. These nascent trend changes have developed even though economic data have generally surprised on the upside, which may be an indication that a more forceful response will occur once the string of upside surprises loses momentum. The global PMI has been very strong, but any hint of a reversal would provide a catalyst for a full-fledged recovery in defensive vs. cyclical stocks (Chart 3). The contraction in U.S. bank lending growth may be heralding slippage in hard economic data (Chart 3), to the benefit of defensive vs. cyclical sectors. Keep in mind that the market is priced for non-inflationary growth nirvana, such that even modest economic disappointment could short circuit the buying binge. The yield curve has stopped widening and financial conditions are no longer easing (Chart 3), providing additional confirmation that the defensive vs. cyclical equity sector trough is more likely a budding trend change than a pause in a downtrend. A trend change is also consistent with the relentless downgrading in emerging market vs. developed country GDP growth expectations (Chart 4). Chart 3Forward Looking Yellow Flags Chart 4No EM Confirmation For Cyclicals The lack of a durable and credible growth thrust in EM is confirmed by regional share price performance, as EM equities have significantly lagged their developed country counterparts (Chart 4). Now that China's fiscal stimulus impulse has rolled over amidst ongoing currency depreciation, EM lacks a catalyst for incremental growth outperformance vs. developed markets. Adding it up, evidence of a sub-surface trend change continues to materialize, even in the face of upward momentum in the broad market. We expect a mostly defensive along with select interest rate-sensitive exposure to provide optimal portfolio performance in the next 3-6 months. Defense Stocks Will Continue To Protect Portfolios... A Special Report sent to clients on October 31 outlined the long-term appeal of defense stocks, prior to the installment of a new, bellicose U.S. Administration. If anything, the latter threatens to exacerbate the decline in globalization that was already in progress (as discussed since 2014 by BCA's Geopolitical Strategy Service), potentially creating a leadership vacuum that will raise the specter of open military conflict. More nationalistic foreign policies in a number of countries, i.e. moving away from collaboration and cooperation and toward isolationism and self-sufficiency, is a recipe for increased geopolitical instability. China's challenge to the status quo is also likely to motivate a boost to defense spending globally. The recent World Economic Forum estimates of global military spending by 2030 cite both China and India planning to quadruple military outlays over this time frame (Table 2). The U.S. Administration is already pressuring other NATO members to boost defense spending after a long contraction (Chart 5), which should eventually spillover into rising defense contractor sales. Reportedly, only 5 out of 28 NATO members reached the targeted goal of spending 2% of GDP on defense. Ergo, there is room for an increase, especially in some larger countries with fiscal room to maneuver. More imminently, the conditions that have created the gap between aerospace and defense relative performance are growing even stronger (Chart 6). Table 2A New Arms Race Underway Chart 5Lots Of Upside Chart 6A Growing Gap While U.S. defense spending has been through a soft patch for the past several years, new orders for defense goods have been one of the strongest components of overall durable goods orders (Chart 6). The unfortunate reality is that the incentive to boost defense and security spending has never been higher. Terrorist activity continues to proliferate around the world (Chart 7), raising a sense of geopolitical uncertainty and mistrust. With defense new orders continuing to make new cyclical highs, factory output should run at levels flattering operating margins. Shipments of defense goods are outpacing inventories by a wide margin, which is consistent with solid pricing power. Even exports of military goods are booming (Chart 7), despite the strong U.S. dollar, reflecting a strong undercurrent of global demand. Domestic defense spending has room to expand. Real defense outlays are only just starting to recover (Chart 8). President Trump ran on a campaign to protect the U.S. from terrorism. That should make it comparatively easy to increase defense spending in the years to come. It is normal for defense stocks to retain momentum as defense spending growth accelerates (Chart 8, top panel). Increased staffing at the U.S. Department of Defense (DOD) implies that purse strings may already be loosening in anticipation of heightened activity. DOD employment growth often provides a good leading indication for real defensive spending trends (Chart 8, bottom panel). Thus, while share prices have been on a tear and valuations are not cheap, rapid earnings growth has pushed down forward multiples to manageable, below-market, levels (Chart 9, shown as an average of the companies in the BCA Defense Index). Chart 7Powerful Momentum... Chart 8... With Long-Term Durability Chart 9Growing Into Valuations Prospects for strong multiyear growth should support a move to a premium valuation as margins expand (Chart 9), similar to what occurred during past defense spending booms, as chronicled in our October 31 Special Report. ...But Aerospace Stocks Are Out Of Fuel In terms of aerospace equities, the outlook is more challenging. New orders have been sinking steadily, reflecting a downturn in the commercial aerospace cycle. While long lead times and lengthy delivery schedules offer some earnings protection, dwindling order backlogs will ultimately undermine confidence in the long-term outlook. Chart 10 shows that aerospace unfilled orders are contracting, an environment typically associated with share price underperformance, or at least elevated volatility. Shipments of aerospace goods are falling, a rare occurrence (Chart 10). The implication is that aerospace industrial production is also shrinking (Chart 10). With a heavily unionized labor force, it will be difficult to maintain profitability. Will increased global growth translate into a recovery in aerospace new orders? Doubtful. Aerospace cycles tend to be long and are not always correlated with the business cycle. Aerospace new order growth has little correlation with the global leading economic indicator. In fact, if anything, it is more countercyclical. Ominously, there are signs of excess capacity. Our global airline consumer price index, a composite of airline pricing power in a number of major countries, is in negative territory. A negative CPI reflects excess capacity, and warns of grim prospects for a recovery in new airplane orders (Chart 11). Chart 10Running On Empty Chart 11Too Much Capacity Against this backdrop, aerospace profits will become increasingly reliant on maintenance, repair and consumables activity. However, weak pricing power suggests that this source of revenue is soft (Chart 11). Aerospace valuations are close to a par with those of defense stocks. Divergent profit outlooks imply that the latter should expand while the former get squeezed. Bottom Line: We remain confident that the BCA defense index (LMT, GD, RTN, NOC, LLL) will continue to generate above market returns, whereas the BCA aerospace index (BA, UTX, HON, TXT) exhibits asymmetric downside risk. Data Processors Are Losing Their Allure After a consolidation phase that restored value to a more neutral level, we upgraded the S&P data processing index to overweight in late-September, because it fit into our consumption vs. capital spending theme, outperforms in disinflationary environments and would benefit from a recovery in industry sales growth. While several of those factors still exist, the share price ratio has been unable to gain traction and the window for outperformance may be closing. The economic backdrop is no longer conducive to capital inflows. Data processing companies enjoy hefty recurring revenue and high returns on equity, warranting persistent above market valuations (Chart 12). However, the flipside of predictability is lower operating leverage than many other industries and a pattern of underperformance during periods of rising inflation expectations. Indeed, cyclical share price momentum tends to take its cue, inversely, from inflation expectations (inflation expectations shown inverted, middle panel, Chart 12). Renewed traction in global economic growth, as evidenced by the upturn in the global leading economic indicator (GLEI, shown inverted, top panel, Chart 13), represents a headwind to capital inflows and relative multiple expansion. The improvement in business sentiment has also boosted our capital spending model, albeit we are doubtful as to whether increased animal spirits will translate into much of a capital spending cycle in a world of deficient final demand and soft free cash flow. Still, any rise in capital spending would put the services-based data processing group at a disadvantage, in relative terms. The downturn in the ISM services index compared with the ISM manufacturing index reinforces that the external environment has become more challenging (Chart 13). All of these factors could be overcome if operating trends were set to improve. Data processing revenue trends are tightly linked with consumer spending (Chart 14). The personal savings rate has room to fall, facilitating an increase in outlays, particularly now that the labor market has tightened. Rising job security has buoyed consumer confidence, which has historically augured well for data processing sales growth. Chart 12The Window Has Closed Chart 13Sell Signals Chart 14Margin Squeeze But top-line growth has been in a funk of late, even with firming pricing power (second panel, Chart 14). Companies have made a significant investment to boost marketing, as evidenced by the surge in SG&A, but so far, this has sapped margins more than stoked revenue. Importantly, Visa has recently provided a fee break to retailers, who are increasingly banding together to put pressure on the industry to lower fees. Amidst increased competition on the payments processing side, this trend is likely to be structural and put downward pressure on profit margins. Thus, we are reluctant to embrace the jump in the producer price index, as future readings could be much weaker. The implication is that operating performance will not overcome macro hurdles. Bottom Line: Reduce the S&P data processing index (V, MA, PYPL, ADP, FIS, FISV, PAYX, ADS, GPN, WU, TSS) from overweight to underweight. Current Recommendations Current Trades Size And Style Views Favor small over large caps. Favor growth over value (downgrade alert).
Highlights Portfolio Strategy Add the S&P asset manager & custody banks index to the high-conviction overweight list. Prospects for higher interest rates bode well for a catch up phase with the rest of the financials sector. Initiate a long S&P consumer staples/short S&P technology pair trade, a truly out of consensus call. Housing-related equities are likely to gain ground as housing activity should stay resilient amidst rising borrowing costs. Recent Changes S&P Asset Managers & Custody Banks - Added to our high-conviction overweight list on February 16th. Long S&P Consumer Staples/Short S&P Technology - Initiate this pair trade today. Table 1Sector Performance Returns (%) Feature Momentum continues to drive the broad market trend. The drag from a reduction in global liquidity courtesy of depleting foreign exchange reserves continues to be overwhelmed by economic optimism. The latter is fueling a major rotation from bonds to stocks, which is the dominant market force. Valuations have taken a backseat, emblematic of blow-off phases. Two weeks ago we introduced our Complacency-Anxiety Indicator, which hit a new high. Another way to measure greed overwhelming fear is the relentless rise of the forward P/E over the VIX. The spread between these two measures can also gauge complacency. This Indicator has also soared to an all-time high (Chart 1). Chart 2 applies this methodology for the broad S&P sectors, using forward P/E and implied equity volatility, and then standardizes the result to remove biases from perennially low and high P/E sectors. A low reading suggests lower risk, and vice versa. Chart 1Buy At Your Own Risk Chart 2Sector Vulnerabilities And Opportunities At the moment, financials, telecom, utilities, REITs and health care have the lowest implicit vulnerability, while cyclical sectors carry the most risk. How long can this overshoot phase last? There are obviously no easy answers. However, from a purely technical perspective and in the absence of any major monetary, economic and/or geopolitical shocks, an examination of our Composite Technical Indicator (CTI) suggests some running room remains. Our CTI is driven primarily by momentum components. Overbought conditions are signaled once it hits one standard deviation above the mean. Currently, the TI remains slightly below this threshold (Chart 3). Even then, it can cross decisively into the danger zone before the S&P 500 eventually sells off in a meaningful fashion. Chart 3Overbought Conditions Can Persist Importantly, when the CTI swings quickly from deeply oversold to overbought levels, there can be a multi month lead before the broad market crests or suffers a sustained setback (Chart 3), and the bulk of those moves are associated with economic recessions and/or growth disappointments. The implication is that even though extended broad market valuations virtually guarantee paltry long-term returns and economic expectations are now sky-high, technical conditions suggest that momentum may continue to carry the day for a while longer. That does not mean investors should abandon a largely defensive portfolio structure, given that this is where the reward/risk tradeoff is most attractive and timing corrections is inherently difficult. Two weeks ago we recommended buying both gold and packaging stocks. As part of our ongoing rebalancing, this week we are further tweaking our portfolio. We recommend a pair trade to position for the inevitable sub-surface mean reversion heralded by our Indicators in the coming 3-6 months. Asset Managers: Shifting To High-Conviction Status The interest rate and market-sensitive S&P asset managers & custody banks index (AMCB) has lagged most other financials sub-indexes at a time when macro forces are lining up bullishly, particularly in view of the sector's attractive ranking on a forward P/E to volatility basis. While the capital markets and banks groups are seen as having higher torque to these positive forces, these three groups tend to move together. Lately, a divergence has opened, but a number of factors point to an imminent AMCB catch up phase (Chart 4), especially given that AMCB is not levered to overall credit growth, which has dried up. Fed Chair Yellen's testimony last week was interpreted to be slightly more on the hawkish side. That, coupled with the recent upside surprise in core inflation, raises the possibility of more 2017 tightening than currently discounted. That would provide further relief for custody banks, as ultra-low interest rates have been an anchor on this group's profitability as fees earned on funds held in trust have been minimal. The increase in short-term Treasury yields heralds a share price rally (Chart 5, top panel). Chart 4Catch Up Ahead Chart 5Time To Rally Moreover, the boost in economic expectations signals scope for an increase in fee generating activity, such as M&A, stock issuance and even stock lending. BCA's Global Economic Sentiment Index also indicates that the share price ratio has undershot (Chart 5). Most importantly, the asset preference shift from bonds to stocks reverses another major drag on profitability (Chart 5, third panel). Fixed income products carry lower margins than equity products, so as equity assets under management grow, profit margins should expand. If so, then we would anticipate a relative valuation re-rating, especially if the pace and scale of financial sector deregulation disappoints. The latter has been a key factor propelling capital markets and banks, and any disappointment could cause a capital rotation into the lagging AMCB index. Bottom Line: We are already overweight the S&P asset management & custody banks index, and added it to our high-conviction list in a daily Sector Insight on February 16th. New Pair Trade This week we are recommending what can be considered a highly contrarian pair trade: long the S&P consumer staples sector and short the S&P technology sector. It may be difficult to swallow executing such a non-consensus position while the broad market is going gangbusters. However, the objective message from our Indicators and increasing odds of a vicious, un-telegraphed correction, argue that the reward/risk trade-off is too attractive to ignore. As outlined in last week's Cyclical Indicator Update, the technology sector's relative earnings profile has deteriorated, because the corporate sector is not spending much yet and tech companies have suffered a serious loss of pricing power. Conversely, the consumer staples sector has a better chance of earnings outperformance, according to our model (Chart 6). Both sectors appear to have discounted the opposite outcome. Moreover, from a technical perspective, tech stocks are overbought and consumer staples are extremely oversold (Chart 6). Even a simple technical/momentum renormalization would imply a sharp jump in the share price ratio. Both sectors lose competitiveness when the U.S. dollar rise, but given that the technology sector's share of foreign sales (58%) is much higher than that of consumer staples (28%), the pain is disproportional. Importantly, consumer staples exports are accelerating, whereas tech exports are shrinking (Chart 7). Chart 6Contrasting Profiles Chart 7The Strong Dollar Is Worse For Tech Non-durable consumer goods are less sensitive to emerging market prospects, and thus when their currencies weaken, momentum in the consumer staples/tech share price ratio tends to accelerate (EM currencies shown inverted and advanced, bottom panel, Chart 7). Moreover, a strong U.S. dollar tends to reduce input costs for many consumer staples vendors, both through lower commodity prices and a reduced cost of imported goods sold. We have shown that tech stocks fare poorly toward the latter stages of a U.S. dollar bull market, when consumer staples start to shine. This dynamic reflects the economic fallout abroad from a strong U.S. dollar, particularly on developing economies, as well as the drag on U.S. corporate profits, and by extension, capital spending. While the U.S. dollar and stocks have risen in tandem in recent months, that cannot continue indefinitely, and when the correlation breaks down, the defensive consumer staples sector should outperform. In terms of economic dynamics, this share price ratio tends to accelerate when consumer spending outperforms capital spending. Consumer confidence is outpacing business confidence (Chart 8, top panel), signaling such an environment ahead. That sentiment mismatch has already translated into faster consumption than business investment on tech goods (Chart 8, second panel). Unless the gap between the return on and cost of capital reverses course and widens anew, then this trend is likely to persist. As a result, the surge in consumer staples vs. technology pricing power will continue, ultimately flattering the share price ratio through relative profit performance (Chart 8, bottom panel). The message is that consumer staples profits can have the upper hand over tech even when overall GDP growth is positive, provided the underlying driver is consumption rather than capital spending. From an external standpoint, it is notable that consumer staples have a better track record than tech stocks during inflationary periods. Chart 9 shows that the uptrend in long-term inflation expectations and increase in actual inflation both forecast a revival in this pair trade. Chart 8Unsustainable Divergences Chart 9Inflation Pressures? Buy This Ratio Rising inflation ultimately heralds tighter monetary policy, which is a precursor to elevated broad market volatility and a rise in the discount rate, to the detriment of long duration sectors. History shows that the high priced tech sector is more vulnerable than the safe haven staples sector in such an environment. In sum, the time is ripe for a contrary pair trade favoring consumer staples vs. technology. Notable risks to this trade are that the U.S. dollar weakens meaningfully and/or global capital spending re-accelerates decisively, relative to consumer spending. Bottom Line: We recommend a market neutral long consumer staples/short technology pair trade. The time horizon for this trade is 3-6 months. Will Housing Stocks Go Through The Roof? Housing-related stocks have delivered positive earnings surprises, but anxiety about rising mortgage rates challenges the outlook. While the latter is a risk, cheap valuations and consumers' underappreciated ability to absorb rising borrowing costs offset these concerns. Sensitivity analysis shows that even a 200 basis point (bps) spike in interest rates from current levels would fail to push housing affordability back to the long-term average (Chart 10). Moreover, mortgage payments as a percentage of incomes and effective borrowing costs would also remain below their respective historic means even with such a spike. Importantly, housing market fundamentals are improving. Lumber prices are on fire. Lumber has been the best performing commodity year-to-date. This is a real time indicator of housing demand (Chart 11). Similarly, railroad carloads of lumber are also firming, signaling that the price rise is demand-driven rather than a speculative bet in the trading pits. Sustained house price inflation, solid housing turnover and the acceleration in building permits reinforce that housing activity remains robust (Chart 11). Chart 10Higher Rates Are Not A Show Stopper Chart 11Lumber Strength Is Housing Bullish The credit tap to sustain strong activity is still open. According to the latest Fed Senior Bank Loan Officer Survey, banks are willing and able to extend residential mortgage credit (bottom panel, Chart 11). This contrasts with many other credit categories, where banks are tightening the screws and credit demand is faltering: C&I loans have shrunk over the past three months, as has total bank credit. First time home buyers are also reappearing and anecdotes of increased house flipping activity signal a vibrant market with unobstructed access to credit. All of this should continue to support earnings-led outperformance from both homebuilders and home improvement retailers (HIR). The bullish outlook for the S&P homebuilding index rests on four pillars. The latest National Association of Home Builders (NAHB) survey revealed that sales expectations remain over 20 points above the boom/bust line and just shy of recent cyclical highs (Chart 12). Homebuilders are clearly still seeing strong traffic. New home prices are still expanding at a healthy clip (Chart 12). Sales growth and new home price inflation are tightly linked. The mortgage application purchase index has picked up steam despite the mortgage rate increase, confirming that first time homebuyers are entering the market after a long hiatus as the financial motivation to buy vs. rent has improved. This optimism is causing an aggressive re-rating in earnings estimates from chronically bearish levels (Chart 12), a harbinger of further gains in relative share prices. The S&P HIR index also has a concrete foundation. Higher lumber prices flow straight to the bottom line, because HIR companies typically earn a set margin on lumber-related sales. Moreover, higher housing turnover is a boon for industry sales volumes (Chart 13). Historically, home sales momentum has been an excellent leading indicator of renovation activity. Chart 12Buy Homebuilders... Chart 13... And Building Supply Retailers Encouragingly, the NAHB remodeling survey is still in expansion territory, and tends to follow the trend in home sales, underscoring that home renovation activity is set to improve (Chart 13). Our HIR model encapsulates many of these key drivers, and has climbed anew (Chart 13). The message is that profits, and share prices, are on track to outperform. Adding it all up, the housing backdrop remains attractive, and even a steady increase in borrowing costs should not disrupt momentum. The time to become concerned will be if inflation becomes a serious risk, causing the Fed to get 'tight' and credit availability to dry up. The next few interest rate hikes won't move the monetary settings to that phase yet. Until then, we recommend erring on the bullish side. Bottom Line: We reiterate our high-conviction overweight in the S&P home improvement retail index (HD, LOW) and continue to recommend an above benchmark allocation in the S&P homebuilding index (PHM, DHI, LEN). Current Recommendations Current Trades Size And Style Views Favor small over large caps. Favor growth over value (downgrade alert).
Highlights Key Portfolio Highlights Improved world economic growth and rising inflation expectations have buoyed global equities (Chart 1). The downside is that financial conditions are tightening and U.S. dollar-based liquidity is contracting, which is growth restrictive (Chart 2). The massive outperformance of the financials and industrials sectors since the U.S. election implies that U.S. markets have been largely politically-motivated. Positive economic surprises remain mostly sentiment/confidence driven, rather than from upside in hard economic data (Chart 3). That unusually large gap implies that a big jump in 'hard data' surprises is already discounted and represents a latent risk, as it did in the spring of 2011 just before the summertime equity market swoon. Federal income tax receipts are contracting, suggesting that an economic boom is not forthcoming (Chart 4). In fact, there has never been a contraction in tax receipts without a corresponding slump in employment growth. Corporate sector pricing power gains have not been evenly distributed. Deep cyclicals gains came off a low base and may already be experiencing a relapse. Conversely, defensive and interest rate-sensitive sectors are demonstrating the most strength (Chart 5). Our macro models are not signaling that investors should position as if robust and self-reinforcing economic growth lies ahead. Our Deep Cyclical indicators are the weakest, while defensive and interest rate-sensitive models are grinding higher (Chart 6). Deep cyclical sectors are very overvalued and overbought, while defensives are deeply undervalued and oversold (Charts 7 and 8). Mean reversion is an apt theme for the next few months. The most attractive combination of macro, valuation and technical readings are in the consumer staples, health care sectors. The financials sector is a close second, but it is overbought. The least attractive combinations are in energy, materials and industrials. Prospects for elevated market volatility, stronger economic growth in developed vs developing economies, a tighter Fed and expensive U.S. dollar are consistent with maintaining a largely defensive portfolio structure (Charts 9-12). Chart 1Pricing Power Revival... Chart 2... But A Liquidity Drain Chart 3Show Me The Money Chart 4Yellow Flag Chart 5Pricing Recovery Is Not Broad Based Chart 6Indicator Snapshot Chart 7Focus On Value Chart 8Mean Reversion Ahead Chart 9Fundamentals Favor Defensives... Chart 10... As Do Market Signals Chart 1112-Month Performance After Fed Hikes Chart 1224-Month Performance After Fed Hikes Chart 13Staples Will Cushion A Volatility Resurgence Chart 14Media Stocks Like A Strong Currency Chart 15Unduly Punished Chart 16Strong Fundamental Support Chart 17Less Production... Chart 18... Means More Rigs Chart 19End Of Sugar High Chart 20A Toxic Mix Chart 21Tech Stocks Don't Like Inflation Chart 22Time To Disconnect Feature S&P Consumer Staples (Overweight - High Conviction) The Cyclical Macro Indicator (CMI) has been grinding higher for several months, even climbing through last year's share price shellacking. The CMI has been supported by the uptrend in relative consumer spending on essential items and consumer preference for saving vs. spending. More recently, a pricing power recovery in a number of groups has provided an assist as has a rebound in staples export growth. Booming consumer confidence and business confidence have held the CMI in check. The strong U.S. currency, particularly bilaterally against China, also implies a reduction in the cost of imported goods sold, and has also been an indication of relative valuation expansion because it often signals increased financial market volatility (Chart 13 on page 6). The attractive valuation starting point this cycle, and historic outperformance when the Fed raises interest rates (Chart 13 on page 6), were key factors behind our upgrade to high conviction status in January. Technical conditions are completely washed out. Sector breadth and momentum have reached oversold extremes. That signals widespread bearishness, which is positive from a contrary perspective. Chart 23 S&P Consumer Discretionary (Overweight) Our CMI is forming a tentative trough, supported by rebounding relative outlays on media services, low prices at the pump, a budding recovery in mortgage equity withdrawal and firming wage growth. The biggest drags over the past few months have come from higher Treasury yields and consumers increased propensity to save. However, rising job certainty and a vibrant residential real estate market suggest that consumers should loosen their purse strings. The VI has deflated toward the neutral zone, although remains moderately expensive from a long-term perspective. Our TI started to rebound from oversold levels. History shows that a recovery in the TI from one standard deviation below the mean has heralded a playable relative performance rally. Overweight positions should remain concentrated in housing-related equities and the media space, both of which benefit from U.S. dollar appreciation (Chart 14 on page 6). Chart 24 S&P REITs (Overweight - High Conviction) Our new REIT CMI has ticked lower, but the share price ratio has over-exaggerated this small move down. REITs have traded as if the back up in global bond yields will persist indefinitely, and that they are the only factor that drives relative performance. Improving cash flows and cheap valuations suggest that REITs can decouple from bond yields. Banks have tightened standards on commercial real estate loans, but this appears more likely to limit supply growth than create a slowdown. Commercial property prices are hitting new highs and our REIT Demand Indicator (RDI) has climbed into positive territory, signaling higher rental inflation. The latter is already outpacing overall CPI by a wide margin (Chart 15 on page 7). While REITs are back to fair value from a long-term perspective, on a shorter term basis the sector is very undervalued (Chart 15 on page 7), particularly with Treasury yields now in undervalued territory. Our REIT TI is extremely oversold, at a point which forward relative returns typically shine on a 12 and 24 month basis, even excluding the dividend yield kicker. Chart 25 S&P Health Care (Overweight) Our CMI continues to grind higher, opening a massive divergence with relative performance. This gap can be explained by the political attack on the pharmaceutical industry, the sector's heavyweight, rather than by a downturn in relative earnings drivers. Pharmaceutical shipments are hitting new highs and pricing power continues to grow at a robust mid-single digit rate. Future pricing gains may slow if government gets more heavily involved in setting prices, but this is already discounted. Pricing power in the rest of the sector remains strong, while wage inflation is tame. Health care spending is still growing as a share of total spending, but the pace is decelerating. Typically, this backdrop signals outperformance for health care insurers, who may also receive a risk premium reduction from a potential revamp of the Affordable Care Act, albeit the timing will likely be drawn out. Relative valuations are very attractive. The sector has been used as a source of capital to fund purchases in areas expected to benefit from increased fiscal stimulus. That is an overreaction, and flows should be restored to reflect the sector's appealing investment profile, particularly given the sector's track record during Fed tightening cycles (Chart 16 on page 7). The TI is deeply oversold. Breadth measures are beginning to recover from completely washed out levels. These conditions reinforce that an exploitable undershoot has occurred. Chart 26 S&P Financials (Neutral) Our Financial CMI has surged, underscoring that the advance in relative performance reflects more than just a reaction to anticipated sector deregulation by the Trump Administration. Leading indicators of capital formation, such as the stock-to-bond ratio, have jumped sharply. Moreover, the yield curve has steepened in recent months, bolstering the CMI. An improvement in overall profit growth and the tight labor market suggest that the credit cycle may not become a profit drag until the economy begins to cool. While not yet evident, the restrictive move in oil, the dollar and bond yields warn that disappoint may emerge in the coming months. It is notable that bank loan growth has dropped to nil over the last 3 months. C&I loan growth is contracting over that time period. Banks are hiring more aggressively, yet are tightening lending standards, suggesting productivity disappointment ahead. Despite the share price jump, value remains attractive after 8 years of financial repression. Our TI is overbought and breadth is beginning to recede, which is often a precursor to a consolidation phase. We are not willing to move beyond a market weight allocation at this juncture. Chart 27 S&P Energy (Neutral) Our CMI has plunged, probing all-time lows. Rising oil inventories and spiking wage inflation are exerting severe gravitational pull on the CMI, more than offsetting the budding recovery in domestic production. Refining margins are probing six year lows as the Brent/WTI spread has evaporated. Nevertheless, OPEC is finally curtailing production, joining non-OPEC producers (Chart 17 on page 8), which should ultimately help eat into excess global oil supply. History shows that once supply growth peaks, the rig count typically firms. That is a plus for energy services (Chart 18 on page 8), even though rising oil production will prove self-limiting for oil prices. High yield spreads have narrowed significantly from nosebleed levels, but industry balance sheets remain bruised. Net debt is historically elevated, EBITDA has yet to return to its glory days, and interest coverage remains anemic and vulnerable to any downside energy price surprises. The surge in our VI reflects depressed cash flow, and is overstating the degree of overvaluation. The TI has returned to the neutral zone, and will need to hold at current levels otherwise a relapse in the share price ratio toward previous lows is probable. Selectivity is still warranted in the energy complex. We remain underweight refiners and overweight the energy services index. Chart 28 S&P Utilities (Neutral) Our utilities sector CMI is stabilizing. That is a surprise, given the rebound in inflation expectations and firming global leading economic indicators, which are typically bearish for this defensive, fixed-income proxy. The latter negative exogenous factors are being offset by falling wage inflation, better pricing power and rising electricity output growth. Power demand is linked with manufacturing activity, underscoring that there is an element of cyclicality to sector profits. The share price ratio has held up better than most other defensive sectors since the U.S. election, perhaps on the hope that an overhaul of the tax code will benefit this domestic sector. Regardless, valuations have retreated from the extremely expensive zone where we took profits and downgraded to neutral last summer, but are not yet at a level that warrants re-establishing overweight positions. An upgrade could occur once our TI becomes fully washed out, provided that occurs within the context of additional CMI strength and a peak in global growth and inflation momentum. Chart 29 S&P Industrials (Underweight - High Conviction) The CMI has edged lower after a modest recovery in recent months. The strong U.S. dollar, relapse in short-term pricing power measures and sector productivity contraction are offsetting improvement in global PMI surveys. The lack of confirmation of an industrial sector revival from emerging markets is also holding back the CMI. There continues to be a deflationary undercurrent in the form of more rapid capacity than industrial sector output growth, suggesting that durable pricing power gains may remain elusive (Chart 19 on page 9). The post-election surge in share prices is slowly being unwound, as the sector was quick to discount expectations for massive domestic fiscal stimulus. Our valuation gauge is not at an extreme, although a number of individual groups are trading at historically rich multiples, such as machinery and railroads. Participation is beginning to fray around the edges, as our relative advance/decline line has rolled over, as has breadth. Our TI is pulling back from overbought levels, warning that a further correction in the share price ratio looms. It would be nearly unprecedented for the share price ratio to trough before our TI hits oversold levels. Industrials fare poorly when the Fed tightens. Chart 30 S&P Materials (Underweight) The CMI has nosedived, reflecting China's diminishing fiscal thrust and the recent tightening in monetary policy. Commodity price inflation peaked in mid-December concurrent with the Fed raising rates, signaling that emerging markets end-demand, in general and Chinese in particular, is likely past its prime. The nascent rebound in EM currencies represents a positive offset, but not by enough to turn around the CMI. Select heavyweight EM manufacturing PMIs are still below the boom/bust line. Relative valuations are becoming extended according to our VI, and stretched technical conditions are waving a red flag. Keep in mind the materials sector has an abysmal performance history after the Fed starts tightening (Chart 20 on page 9). The heavyweight chemical index (75% of the sector) bears the brunt of the downside risks owing to excess capacity (Chart 20 on page 9). On the flipside, overweight exposure in gold mining (via the GDX:US ETF) and the niche containers & packaging sub-indexes is recommended. Chart 31 S&P Technology (Underweight) The CMI has rolled over, driven lower by contracting relative pricing power, decelerating new orders-to-inventories growth, lack of capital expenditure traction and the appreciating greenback. Tech stocks thrive in a disinflationary/deflationary environment and suffer during inflationary periods (Chart 21 on page 10). Inflation is making a comeback, so it will be an uphill battle for tech companies to successfully raise selling prices at a fast enough pace to keep profits on a par with the broad corporate sector. While a capital spending cycle would be a welcome development, the narrowing gap between the return on and cost of capital warns against extrapolating improvement in business sentiment just yet. Our S&P technology operating profit model warns that tech profits are likely to trail the broad market as the year progresses, a far cry from what is embedded in analysts' forecasts. The good news is that valuations are not demanding nor are technical conditions overbought, which should cushion the magnitude and sharpness of downside risks. Chart 32 S&P Telecom Services (Underweight) Our CMI for telecom services has gained ground of late, primarily on the back of a sharp decline in wage inflation. However, we recently downgraded exposure to underweight, because of a frail spending backdrop. Our telecom services sales model is extremely weak (Chart 22 on page 10). Softening outlays on telecom services have reinvigorated the industry price war, and our pricing power gauge is sinking like a stone (Chart 22 on page 10). Telecom carrier capital expenditures have been running at a healthy clip, which could further pressure profit margins. Undervaluation exists, but this has been a chronic feature for the sector over the past decade, and does not foretell of cyclical upside or downside risks. Our TI has plunged into the sell zone, but remains above levels that would signal that a countertrend rally is imminent. Chart 33 Size Indicator (Overweight Small Vs. Large Caps) The small/large cap ratio is correcting short-term overbought conditions. The dip in the U.S. dollar has provided a fundamental reason for corrective action in this domestically-oriented asset class. However, we doubt a trend change is at hand. Our style CMI is climbing steadily. Small company business optimism has soared, partly because of an increase in planned price hikes, but also from an anticipated reduction in the regulatory burden. If small company price hikes persist, then rising labor costs will be more easily absorbed. That is critical to narrowing the profit margin gap between small and large firms. A stronger domestic vs. global economy and the potential for trade barriers is also unambiguously positive for small firms that do the bulk of their business at home. Despite the surge in the share price ratio post-U.S. election, our valuation gauge is not yet at an overvalued extreme. The lack of extreme overvaluation suggests that positive momentum will persist, perhaps similar to the 2004-2006 period, when the share price ratio stayed in overbought territory for years. Chart 34
The previous Insight showed that the broad tech sector will have trouble if overall inflationary pressures continue to build, sustaining upward pressure on bond yields. The communications equipment sub-group should be somewhat immune to these forces, however, given already cheap valuations. Nevertheless, the strong U.S. dollar already appears to be causing a competitive response. Industry pricing power has plunged deeper into the deflation zone, with more downside ahead as Asian currencies devalue (second panel). The good news is that U.S. telecom equipment exports have actually perked up, and the telecom services sector appears to have stabilized capital spending based on the message from new facilities construction. That will help offset deflationary pressure, but if exports roll over and/or domestic capital spending indicators cool, communications equipment stocks could go from consolidation to underperformance. Stay neutral, for now. The ticker symbols for the stocks in this index are: BLBG: S5COMM-CSCO, MSI, HRS, JNPR, FFIV.
An Insight on December 13 showed that the tech sector and the U.S. dollar have historically been positively correlated during the initial phase of a currency bull market, but that correlation reverses in the latter stages. The loss of competitiveness and anti-globalization are serious headwinds for the tech sector, particularly given that inflation pressures in the broader economy have started to build. The tech sector shines in deflationary periods rather than inflationary environments. Rising bond yields and rising headline inflation imply higher discount rates and by extension, lower valuations, all other things equal, for the long duration tech sector. While the broad market has maintained strong momentum, the tech sector is unlikely to keep pace. Reducing exposure on price strength is a prudent strategy.
Special Report Feature Which of the following activities requires more brainpower: beating a grandmaster at chess, or cleaning the table underneath the chessboard? The answer is cleaning the table. This explains why Artificial Intelligence (AI) can now trounce the best human chess player, but no AI can (yet) reliably pick up the chessboard and dust underneath it. The cognitive scientist Steven Pinker points out that the human mind can understand quantum physics, send a rocket to the moon and decode the genome, but reverse-engineering simple human movements involves a mind-boggling complexity. "The hard problems are easy and the easy problems are hard." AI researchers call this Moravec's Paradox:1 the counterintuitive result that much less computing power is required for advanced problem solving than for simple sensorimotor skills.2 Feature ChartCooks, Waitresses And Bartenders Is The Fastest Growing Employment Sector Pay Deflation For The Many... The hard problems that are easy for AI are those that require the application of complex algorithms and pattern recognition to large quantities of data - such as beating a grandmaster at chess. Or a job such as calculating a credit score or insurance premium, translating a report from English to Mandarin Chinese, or managing a stock portfolio. The easy problems that are hard for AI are those that require the replication of human movement in everyday tasks. Jobs such as cleaning, gardening, or cooking. Therefore: "As the new generation of intelligent devices appears, it will be the stock analysts who are in danger of being replaced by machines... (Cleaners), gardeners, and cooks are secure in their jobs for decades to come." For societies and economies, Moravec's Paradox generates a chilling deflationary headwind. Many of the jobs that AI will destroy - like credit scoring, language translation, or managing a stock portfolio - are regarded as skilled, and require years of advanced education and training. They have limited human competition, and are well-paid. Conversely, many of the jobs that AI cannot (yet) destroy - like cleaning, gardening or cooking - are relatively unskilled. They have unlimited human competition, and are low-paid. ...Pay Inflation For The Tiny Few As well as sensorimotor skills, humans still beat AI in three other fields: creativity, innovation, and complex communication. As Erik Brynjolfsson and Andrew McAfee3 observe in The Second Machine Age: "Computers are still machines for generating answers, not posing interesting new questions... We've never seen a truly creative machine, or an entrepreneurial one, or an innovative one." Hence, these are the skills you should encourage your children to acquire as their defence against AI. Moreover, the leaders in these fields - the very best entrepreneurs, innovators and communicators as well as top sportsmen and musicians - now find themselves in a particularly strong position. This is because a second powerful dynamic is at play. As we showed in the first Special Report in this series The Superstar Economy,4 the internet allows the very best entrepreneurs, innovators and communicators to sell their services to an effectively unlimited audience. And social media, as a large-scale validation system, reinforces the winner-takes-all dynamic. Therefore, as the proliferation and power of the internet and social media have increased dramatically, so too have both the earnings growth rate and the longevity of the superstars - exaggerating the skew in the Pareto distribution of incomes. Simply put, the superstars in sensorimotor skills, creativity, innovation, and complex communication will continue to see very strong pay inflation (Chart I-2). Chart I-2The Cost Of Living Extremely Well Continues To Rise Unabated The Hollowing Out Of The Middle Class Sadly, only a tiny fraction of the population can become superstars. As AI takes over mid-skill knowledge work, the vast majority of displaced workers start going after jobs lower on the skills and wage ladder. As these jobs also have lower security, this keeps a lid on credit growth, because without income security, households are less willing to borrow and banks are less willing to lend. The result is that the on-going Second Machine Age - the ushering in of Artificial Intelligence - is hollowing out the middle class. Contrast this with the First Machine Age - the ushering in of 'Artificial Strength'. The steam engine replaced muscle power, both human and animal. Thereby, it destroyed mostly low-skill work and effectively created the middle class. But does the evidence support the narrative for the Second Machine Age? The answer is yes. The changing sectoral profile of the jobs market through 1997-2017 is almost identical to the changing profile of output, as captured by GVA.5 Which means that job destruction and creation has kept relative productivity between sectors broadly unchanged through the past 20 years (Tables I-1-I-5). In other words, human jobs have disappeared where AI can do them better. And they have gone to where AI cannot do them better, because the jobs involve some degree of sensorimotor or communication skill. Table I-1U.K. Jobs Have Gone To Where Machines Cannot (Yet) Beat Humans Table I-2The U.K. Value Added Profile Is Similar To The Jobs Profile Table I-3U.S. Jobs Have Gone... Table I-4...To Where Machines Cannot (Yet) Beat Humans Table I-5The U.S. Value Added Profile Is Similar To The Jobs Profile U.S. data provides fascinating sub-sector detail. The employment sub-sectors that have grown the most are relatively low-income but which require sensorimotor skills: Food Services and Drinking Places - cooks, waitresses and bartenders - and Social Services, followed by communication-dependent Education Services (Feature Chart). And now comes the bombshell. A separate study by Ball State University carried out an attribution analysis of the 6 million U.S. manufacturing destroyed through 2000-20106 (Table I-6). The study's salutary conclusion was that only 13% of the job losses resulted from trade, and almost 90% resulted from productivity improvements - in other words, because AI can do the jobs better than humans. Table I-6Only 13% Of Manufacturing Job Losses Are Due To Trade It follows that short of reversing the advance of technology, no amount of "Take Back Control", "Build A Wall" or "Make America Great Again" can change the powerful wind of change in the employment market. The Implications Of The Superstar Economy In terms of implications for policymakers and investors, all of the conclusions in the original Special Report The Superstar Economy remain valid, so we will reiterate them. Bear in mind that we originally wrote these on March 24, 2016. Several of the predictions have already proved eerily prescient. Headline and aggregate-economy statistics such as GDP and income are no longer representative statistics for the living standards of the vast majority of the population. Therefore, politicians will need to pay close attention to the underlying distribution of these statistics. But as many politicians seem blissfully unaware of the extreme skews in the Pareto distribution, we can expect a higher frequency of shocks at the ballot box. If economic growth is mostly happening at the top-end of the Pareto distribution, the vast majority of incomes will be stagnating or declining.7 So we can expect structurally weak private sector credit growth. Lacking rampant house price inflation or confidence in income growth, households and firms will be unwilling to borrow, and banks will be unwilling to lend. Hence, the opportunities to own bank equities will be limited to short-term tactical timeframes. If economic growth is mostly happening at the top-end of the Pareto distribution, and credit growth is weak, we can expect a continued absence of generalised price inflation. Monetary policymakers need to immediately discard discredited concepts such as the Phillips curve relationship between headline growth, unemployment and the inflation rate. But as many of these conventionally-trained economists will find it difficult to change their thinking, we can expect a higher frequency of policy errors. Interest rates and bond yields will remain structurally depressed. Bond yields will move cyclically, but there will be no persistent uptrend. A long sequence of rate hikes anywhere will be unsustainable. Dhaval Joshi, Senior Vice President European Investment Strategy dhaval@bcaresearch.com 1 Named after the roboticist Hans Moravec 2 Evolutionary biology provides a good explanation for Moravec's Paradox. The part of the brain - the cerebellum - that is responsible for sensorimotor skills has experienced much more evolution and development compared with the part of the brain - the neocortex - that is responsible for problem-solving. It follows that AI requires exponentially greater computational resources to replicate even low-level sensorimotor skills than it does to replicate problem-solving. 3 Andrew McAfee spoke at our 2015 New York Conference. 4 Published on March 24, 2016 and available at eis.bcaresearch.com 5 Gross Value Added 6 The Myth and the Reality of Manufacturing in America by Michael J. Hicks and Srikant Devaraj, June 2015 Ball State University Center for Business and Economic Research. 7 Please also see Chart 10 in the Global Investment Strategy Weekly Report, titled "Low Rates Forever", dated March 4, 2016 available at gis.bcaresearch.com
Highlights Portfolio Strategy A battle between tighter monetary conditions and the anticipation of fiscal largesse will be a dominant market theme this year. Our high-conviction equity allocation calls do not require making a major directional global economic bet, or second guessing the Fed's desire to continue tightening. The bulk of our calls could currently be considered contrarian, based on recent market momentum and sub-surface relative valuation swings. Recent Changes S&P Insurance Index - Downgrade to high-conviction underweight. Nasdaq Biotech Index - Downgrade to high-conviction underweight. Feature Stocks have already paid for a significant acceleration in earnings and economic growth this year and beyond. Fourth quarter earnings season will be the first real test of investor expectations since the post-election market surge. While recent data have been encouraging, forward corporate profit guidance is unlikely to be robust in the face of the U.S. dollar juggernaut. Currently, the hope is that fiscal stimulus will offset tighter monetary settings, ultimately delivering a higher plane of economic activity. The major risks are that the economy loses momentum before fiscal spending cranks up, and/or that profits diverge from a more resilient economic performance than liquidity conditions forecast. Indeed, fiscal stimulus isn't slated to accelerate until next year (Chart 1), while the impact of anti-growth market moves is far more imminent. Our Reflation Gauge has plunged, heralding economic disappointment (Chart 1). With the economy near full employment, Fed hawkishness could persist even in the face of any initial evidence of economic cooling. Under these conditions, the gap between nominal GDP and 10-year Treasury yields could turn negative in the first half of the year (Chart 2), which would be a major warning sign for stocks. Chart 1Fiscal Stimulus Is Still A Long Way Off Chart 2Warning Signal As a result, while the market has recently been focused almost solely on return, our emphasis at this juncture is on minimizing risk. That is consistent with the historic market performance during Fed tightening cycles. Going back to the early-1970s and using the last seven Fed interest rate hiking periods, it is evident that non-cyclical sector relative performance benefits immensely on both a 12 and 24 month horizon from the onset of Fed tightening (Charts 3 and 4). Cyclical sectors typically lag the broad market, while financials generally market perform1. Chart 312-Month Performance After Fed Hikes Chart 424-Month Performance After Fed Hikes Some of the other major macro forces that are likely to influence the broad market and sectoral trends are: Ongoing strength in the U.S. dollar and its drag on top-line growth: loose fiscal policy and tight monetary policy is a classic recipe for currency strength. Tack on high and rising interest rate differentials due to policy divergences with the rest of the world (Chart 5), and exchange rate strength is likely to persist in the absence of a major domestic economic downturn. A tough-talking Fed. Wage growth is accelerating and broadening out, and will sharpen the Fed's focus on inflation expectations. With dollar strength constraining revenue growth potential, strong wage gains are profit margin sapping (Chart 2). A divergence between economic growth and profit performance, i.e. stronger growth is unlikely to feed into equal growth in corporate sector earnings given the squeeze on profit margins from a recovery in labor's ability to garner a larger share of aggregate income. Disappointment and/or uncertainty as to the timing and rollout of the much anticipated fiscal spending programs and unfunded tax cuts. Favoring domestic vs. global exposure will remain a key theme. Emerging markets (EM) have not validated the sharp jump in the global vs. domestic stocks, nor cyclical vs. defensives (Chart 6). Chart 5Greenback Is A Drag##br## On S&P 500 Top Line Growth Chart 6Mind##br## The Gap EM stocks are pro-cyclical, and outperform when economic growth prospects are perceived to be improving. The surging U.S. dollar is a growth impediment for many developing countries with large foreign liabilities to service. The U.S. PMI is gaining vs. the Chinese and euro area PMI (Chart 7, second panel), heralding a rebound in cyclical share price momentum. World export growth remains anemic and will remain so based on EM currency trends (Chart 7). When compared with the reacceleration in U.S. retail sales, the outlook for domestically-sourced profits is even brighter. The other key sectoral theme is to favor areas geared to the consumer rather than the corporate sector. Consumer income statements and balance sheets are far healthier than those of the corporate sector (Chart 8). As a result, they are in a more propitious position to spend and expand. Chart 7Domestics Will Rise To The Occasion Chart 8Consumers Trump The Corporate Sector We expect all of these forces to truncate rally attempts in 2017. The market is already stretching far enough technically to flag risk of a potentially sizeable correction in the first quarter, i.e. greater than 10%, particularly given the significant tightening in monetary conditions and overheating bullish sentiment that have developed. In other words, it is not an environment to chase the post-election winners, nor turn bearish on the losers that have been eschewed. Against this backdrop, we are introducing our top ten high-conviction calls for 2017. As always, these calls are fundamentally-based and we expect them to have longevity and/or meaningful relative return potential, rather than just reflect recent momentum trends. We recognize the difficulty of trading in and out of positions on a short-term basis. Energy Services - Overweight Chart 9Playable Rally The energy sector scores well in relative performance terms when the Fed is hiking interest rates2, supporting a high-conviction overweight in the energy services group. OPEC's agreement to curtail production should hasten supply/demand rebalancing that was already slated to occur via non-OPEC production declines through 2017. U.S. shale producers slashed capital expenditures by 65% from 2014 to 2016, and the International Oil Companies reduced capital expenditures by 40% over the same period. OPEC's decision to trim output should mitigate downside commodity price risks, providing debt and equity markets with confidence to restore capital availability to the sector. With easier access to capital, producers, especially shale, will be able to accelerate drilling programs in a stable commodity price environment. The three factors traditionally required to sustain a playable rally are now in place. The rig count has troughed. The growth in OECD oil inventories has crested. The latter is consistent with a gradual rise in the number of active drilling rigs. Finally, global oil production growth is falling steadily. Pricing power is likely to be slow to recover this cycle given the scope of previous capacity excesses, but even a move to neutral would remove a major drag and reduce the associated share price risk premium (Chart 9). Consumer Staples - Overweight 2016 delivered a number of company specific body blows to the consumer staples sector, most notably concerns about the pharmacy benefit manger pricing model, which undermined the retail drug store group. Thereafter, the sector was shunned on a macro level following the election, as it was used as a source of capital to fund aggressive purchases in more cyclical sectors. This has set the stage for a contrarian buying opportunity in a high quality, defensive sector with one of the best track records during Fed tightening cycles3. The sector is now closing in on an undervalued extreme, in relative terms, having already reached such a reading in technical terms (Chart 10). Our Cyclical Macro Indicator is climbing, supported by the persistent rise in consumers' preference for saving. The latter heralds an increase in outlays at non-cyclical retailers relative to sales at more discretionary stores. Importantly, consumer staples exports have reaccelerated, despite the strong U.S. dollar, pointing to a further acceleration in sector sales growth, and by extension, free cash flow. The strong U.S. dollar is a major boon, from an historical perspective, given that it typically creates increased global economic and market volatility. The latter is starting to pick up (Chart 10). A strong currency, particularly bilaterally against China, also implies a reduction in the cost of imported goods sold, and heralds a relative performance rebound (Chart 11). Chart 10Contrarian Buy Chart 11China To The Rescue? Home Improvement Retail - Overweight Enticing long-term housing prospects argue for looking through the recent rise in mortgage rates. Household formation is reaccelerating, as full employment is boosting consumer confidence, and clocking at a higher speed than housing starts. The implication is that pent-up housing demand will be unleashed. In fact, consumers have only recently started re-levering, with banks more than willing to facilitate renewed appetite for mortgage debt. Remodeling activity is booming and anecdotes of house flipping activity picking up steam are corroborating that the housing market is vibrant. Now that house prices have recently overtaken the 2006 all-time highs, the incentive to upgrade and remodel should accelerate. While the recent backup in bond yields has been a setback for housing affordability, the U.S. consumer is not priced out of the housing market. Yields are rising in tandem with job security and wages. Mortgage payments remain below the long-term average as a share of income and effective mortgage rates remain near generationally low levels. Building supply store construction growth has plumbed to the lowest level since the history of the data. Historically, capacity restraint has represented a boost to home improvement retail (HIR) profit margins and has been inversely correlated with industry sales growth. Stable housing data and improving operating industry metrics entice us to put the compellingly valued S&P HIR on our high-conviction buy list for 2017 (Chart 12). Chart 12Benefiting From Enticing##br## Long-Term Housing Prospects Chart 13Healthy Consumer Is A Boon##br## To Consumer Finance Stocks Consumer Finance - Overweight We are focusing our early-cyclical exposure on overweighting the still bruised S&P consumer finance index. This group is levered to the rising interest rate environment and debt-financed consumer spending. The selloff in the 10-year Treasury bond has been closely correlated with relative performance gains and the current message is to expect additional firming in the latter (Chart 13, top panel). Importantly, higher interest rates have boosted credit card interest rate spreads (the industry's equivalent net interest margin metric), underscoring that the next leg up in relative share prices will be earnings led (Chart 13, bottom panel). On the consumer front, consumer finances are healthy, the job market is vibrant and consumer income expectations are on the rise. In addition, house prices have vaulted to fresh all-time highs and are still expanding on a y/y basis. The positive wealth effect provides motivation for consumers to run down savings rates (Chart 13, second & third panels). Health Care Equipment - Overweight Health care equipment (HCE) stocks have been de-rated alongside the broad health care index, trading at a mere market multiple and below the historical mean, representing a buy opportunity. Revenue growth has been climbing at a double digit clip (Chart 14, third panel) and the surging industry shipments-to-inventories ratio is signaling that still depressed relative sales growth expectations will surprise to the upside (Chart 14, top panel). Synchronized global growth is also encouraging for U.S. medical equipment exports, despite the U.S. dollar's recent appreciation. The ageing population in the developed markets along with pent up demand for health care services in the emerging markets where a number of countries are developing public safety nets, bode well for HCE long-term demand prospects. The bottom panel of Chart 14 shows that the global PMI has been an excellent leading indicator of HCE exports and the current message is positive. The recent contraction in valuation multiples suggests that sales are expected to disappoint in the coming year, an outlook that appears overly cautious, especially within the context of the nascent improvement in industry return on equity (Chart 14, second panel). Chart 14HCE Stocks Are Cheap Given##br## Improving Final Demand Outlook Chart 15More Than##br## Meets The Eye REITs - Overweight REITs have traded as if the back up in global bond yields will persist indefinitely, and that the level of interest rates is the only factor that drives relative performance. Improving cash flows and cheap valuations suggest that REITs can decouple from bond yields. Our REIT Demand Indicator (RDI) has climbed into positive territory, signaling higher rental inflation. The latter is already outpacing overall CPI by a wide margin. The RDI is also positively correlated with commercial property prices, implying more new highs ahead. That will support higher net asset values. While increased supply is a potential sore spot, particularly in the residential space, multifamily housing starts have rolled over relative to the total, suggesting that new apartment builds are diminishing. As discussed in previous research reports, contrary to popular perception, relative performance is also depressed from a structural perspective. REIT relative performance is trading well below its long-term trend, a starting point which has historically overwhelmed any negative pressure from a Fed tightening cycle (Chart 15). Tech Hardware Storage & Peripherals - Underweight The S&P technology hardware storage & peripherals (THSP) sector is a disinflationary play (10-year treasury yield change shown inverted, second panel, Chart 16) and benefits when prices are deflating, not when there are whiffs of inflation4. The tech sector has the highest foreign sales/EPS exposure among the top 11 sectors, and the persistent rise in the greenback is weighing on export prospects for the THSP sub-index (Chart 16, third panel), and by extension top and bottom line growth. Computer and electronic products new order growth has fallen sharply recently, warning that THSP sales growth will remain downbeat. Industry investment is also probing multi-year lows (not shown). Asian inventory destocking is ongoing, which will pressure selling prices, but the end of this liquidation phase would be a signal that the worst will soon be over. Technical conditions are bearish. A pennant formation signals that a breakdown looms. Chart 16Tech Stocks Hate Reflation Chart 17Shy Away, Don't Be Brave Biotech - Underweight The Nasdaq biotech index is following the BCA Mania Index, which includes previous burst bubbles in a broad array of asset classes. The top panel of Chart 17 shows that if history at least rhymes, biotech bubble deflation is slated to continue. Only 45 stocks in the NASDAQ biotech index have positive 12-month forward earnings estimates, comprising 27% of the 164 companies in the index according to Bloomberg. There is still a lot of air to be taken out of the biotech bubble. Historically, interest rates and relative performance have been inversely correlated. The back up in bond yields and Fed tightening represent a draining in liquidity conditions which bodes ill for higher beta and more speculative investments. The biotech derating has been earnings driven and a sustained multiple compression period looms, especially given the sector's poor sales prospects (Chart 17, bottom panel) Worrisomely, not only have biotech stocks fallen despite Trump's win, but recent speculative zeal (buoyant equity sentiment and resurging margin debt, not shown) has also failed to reinvigorate biotech equities. The NASDAQ biotech index is a sell (ETF ticker: IBB:US). Industrials - Underweight The industrials sector was added to our high-conviction underweight list late last year so the turn in calendar does not require a change in outlook. The sector has discounted massive domestic fiscal stimulus and disregarded the competitive drag on earnings from the U.S. dollar, trading as if a profit boom is imminent. Recent traction in surveys of industrial activity is a plus, but is more a reflection of an improvement in corporate sentiment and is unlikely to translate into imminent industrials sector profit improvement. The U.S. dollar surge is a direct threat to any benefit from an increase in domestic infrastructure or private sector investment spending. Commodity prices and EM drag when the dollar is strong. Chronic surplus EM industrial capacity remains a source of deflationary pressure for their currencies, economies and U.S. industrial companies. U.S. dollar strength warns of renewed pricing power pressure (Chart 18). Non-tech industrial capacity is growing faster than output, and capital goods imports prices are contracting (Chart 18). Tack on the relentless surge in the U.S. dollar, and a new deflationary wave appears inevitable. Relative forward earnings momentum is already negative, and is likely to remain so given the barriers to a top-line recovery, and a soaring domestic wage bill. The sector is not priced for lackluster earnings. Chart 18Fade The Bounce Chart 19Advance Is Precarious Insurance - Underweight Insurance stocks have benefited from the upward shift in the yield curve and the re-pricing of the overall financials sector, but the advance is precarious. Previously robust insurance pricing power has cracked. The CPI for household insurance is barely growing. The latter is typically correlated with auto premiums, underscoring that they may also slip (Chart 19). While higher interest rates are positive for investment portfolio income, they also imply mark-to-market losses on bond portfolios and incent insurers to underwrite at a faster pace with more lenient standards, which is often a precursor to increased competition and less pricing power. Insurance companies have added massively to cost structures in recent years (Chart 19), while the rest of the financials sector was shedding labor costs. Relative valuations have enjoyed a step-function upshift, but the path of least resistance will be lower for as long as relative consumer spending on insurance products retreats on the back of pricing pressure (Chart 19). 2016 Review... Last year's high-conviction calls were hot out of the gate, and generally had very strong gains until the late-summer/early-fall, but were hijacked by the post-election surge in a few sectors. As a result of the end of year fireworks, our high conviction calls trailed the market by just under 2% for the year ending 2016. Had we had the foresight to predict a Trump win and a massive market rally, we could have closed our positions in early November for comfortably positive gains. In total, our average booked gains in the year were 3% in excess of the broad market since the positions were initiated. We are also closing our pair trades, and will re-introduce a number of new trades in the near future. Anastasios Avgeriou, Vice President Global Alpha Sector Strategy & U.S. Equity Strategy anastasios@bcaresearch.com 1 Please see the U.S. Equity Strategy Special Report titled: "Sector Performance And Fed Tightening Cycles: An Historical Roadmap", available at uses.bcaresearch.com. 2 Ibid 3 Ibid 4 Please see the U.S. Equity Strategy Special Report titled: "Equity Sector Winners And Losers When Inflation Climbs", available at uses.bcaresearch.com. Current Recommendations Current Trades Size And Style Views Favor small over large caps. Favor growth over value (downgrade alert).
Special Report Future Development In Emerging Markets And What Sectors To Look Out For1 The global population is peaking. For Emerging Markets this means significant changes in economic development models. Commodity super-cycles are coming to an end and technological development will become more disruptive for the "old economy". Global growth will be driven by emerging and frontier markets and the accelerated speed of development will ensure leaps in technology and changes in the demographic structure of the workforce in countries that are catching up. The human population in different historic periods totalled roughly the same number, ten billion people. Periods of historic and economic development are becoming shorter. Until recently demographic growth was assumed to be exponential, but in reality it follows a hyperbolic curve, very slow in the beginning and rising faster as it approaches infinity. Growth cannot continue to infinity and models explaining tail events of the growth trajectory are of particular interest. Signs of a slowdown are apparent as humankind is approaching a global population of ten billion. The global growth model is shifting from a quantitative to a qualitative approach, with information and speed of information exchange becoming the determining factors for development. "The sciences do not try to explain, they hardly even try to interpret, they mainly make models. By a model is meant a mathematical construct which, with the addition of certain verbal interpretations, describes observed phenomena. The justification of such a mathematical construct is solely and precisely that it is expected to work - that is correctly to describe phenomena from a reasonably wide area. Furthermore, it must satisfy certain aesthetic criteria - that is, in relation to how much it describes, it must be rather simple". John von Neumann The purpose of describing the model framework in this paper is first of all to provide investors with a glimpse into our long-term investment philosophy and the way we try to think about future developments. We like the framework described below, because of the good fit to reality that it has shown. Considering that the initial parts of the theory were developed in the 1980s, the model accurately predicted many events we are witnessing now. Furthermore, we hope to achieve a certain degree of predictability of future events, and lay out scenarios for how these events might affect investors. This might stimulate modelling and the thought-process. We are not advising changes in investment policy based on this, but rather invite the reader to a dialog about scenario analysis. In the end, as with every theory or model, everybody is entitled to their own views and, in this academic spirit, we welcome ideas of how to develop the framework further and apply it to different areas. Modelling Of Demographic Growth "The main difference of a human being to an animal is the desire for knowledge and the capacity to reason". Aristotle The most cited theory on demographic growth was formulated by English cleric and scholar Thomas Malthus in 1798.2 The theory later became known as the Malthusian growth model and argued that the world population is growing exponentially: P (t) = P0e rt Where P0 is the initial population size, r is the population growth rate and t is time. In essence the theory suggests that the rate of population growth increases with the number of people living on the planet, while the main constraint for growth is the scarcity of resources (Chart 1). With time it has become obvious that the human population is not evolving according to the rules applicable to all other animal species, and that the Malthusian growth model does not describe the growth trajectory correctly (Chart 2). For example, humankind represents the only exception to the inverse relationship rule between the body mass of an animal species and its population size (lower body mass equals larger population).3 Chart 1Malthusian Growth Model ##br## For The World Population Chart 2Malthusian Growth Model Vs. ##br## Actual Population Growth In 1960, von Forester, Mora and Amiot, and later Hoerner in 1975,4 demonstrated that population growth is much better described by a hyperbolic growth function5 - very slow in the early stages and exploding as we approach the present day (Charts 3A & 3B). In other words the growth-momentum relationship is not dependant on the number of people, but rather on the number of interactions between those people (the so-called "second order reaction" in physics or chemistry). Chart 3AHyperbolic Growth Function Vs. Malthusian Growth Model ##br## And Real Population Growth Chart 3BExamples Of Linear, Exponential ##br## And Hyperbolic Growth Further research tried to connect the population growth model to the economic growth function and understand where the trajectory of population growth is going.6 For example, Nielsen7 (2015) makes the assumption that the world population is going through a demographic transition process (the third in the world's history) from the latest hyperbolic trajectory to a yet unknown trend. One interesting theory was developed by Russian physicist and demographer Sergey Kapitsa (1928 - 2012). Sergey Kapitsa was the son of Nobel laureate physicist and Cambridge professor Petr Kapitsa. Being a physicist himself, Kapitsa applied physical principles to explain population growth in the perspective of the whole planet, and concentrated on the changing phases of growth at the tails of the hyperbolic curve. "Only Contradiciton Stimulates The Development Of Science. It Should Be Embraced, Not Hidden Under The Rug". Sergey Kapitsa In his work to explain population growth, Kapitsa applied methods developed in physics to describe systems with many particles and degrees of freedom.8 Kapitsa saw an advantage in the complexity of the world population, as it would allow a statistical approach to the solution of the problem, averaging out all temporary processes. Kapitsa found several constraints in the simple hyperbolic growth model, occurring at the tail ends of the trajectory. The hyperbolic model would assume that at the beginning of time, approximately 10 people would have inhabited the planet and would have lived for a billion years. At the same time, approaching 2025 our population is due to double each year. To solve these tail problems, Kapitsa introduced a so-called "cut-off growth rate", to tackle growth in the very early stages of humankind, and a "cut-off time" constant. This led to the population growth formula: dN/dt = N 2/K 2 Chart 4World Population Growth This states that "growth depends on the total number of people in the world N, and is a function - the square - of the number of people, as an expression of the network complexity of the global population".9 Furthermore, the "growth rate is limited, that is to say by the internal nature of the growth process, not by the lack of external resources" (Chart 4). The easy way to understand the population growth relationship is to think about it the following way - if each BCA client would write an investment advice letter to all the other BCA clients, the total number of letters written would be equal the square of the number of clients. Kapitsa also formulated three periods in the development of humankind: "Epoch A", which began 4.4 million years ago and lasted 2.8 million years. This period was characterized by linear growth of the population. "Epoch B", which included the Palaeolithic, Neolithic periods and up to recent history and lasted 1.6 million years, and growth was hyperbolic (1, 2, 3 on the chart). "Epoch C", which according to Kapitsa's calculations, started in approximately 1965, when the global population reached 3.5 billion people (4 and 5 on the chart) and population growth started to slow globally (Chart 5). Chart 5World Population Growth Rate Is Falling The model was found to be a good connecting medium between a pure mathematical approach to demographics and observations made by palaeontologists, anthropologists and historians. The main conclusions made by Kapitsa are the following: Historical periods are becoming shorter over time. The Palaeolithic period lasted over 2 million years, the Neolithic period lasted "just" 5,000-8,000 years, while the Middle Ages spanned only about 500 years. Time is passing faster, the more complex the global system of interaction becomes. Or, in other words, the larger the world population becomes. Over each historic period, approximately the same number of people have lived on the planet, in the range of 9 to 12 billion. In later papers Kapitsa singles out 10 billion as the exact number (this depends on input parameters in the formula). World population will reach the 10 billion mark before 2060. Growth is determined by social and technological changes and is driven by the number of social and economic interactions within the global system. On a historical timescale, each cycle is 2.5 - 3 times shorter than the previous one, driving the overall growth in population. Information is the controlling factor of growth. Kapitsa equates his population growth model to the economic production function and explains the non-linearity of the function by "information interaction, which is multiplicative and irreversible, and is the dominant feature of the system, determining or rather moderating its growth". Food or other resources are not a constraint factor, as through the whole of history, humankind never actually encountered any constraints in resources which would derail population growth from its hyperbolic trajectory. Humankind is now in a period of demographic transition, where the beginning is the point of most rapid increase of the growth rate (around 1965) and the end is the point of most rapid decrease. On a historic scale this transition is happening in an extremely short period - 1/50,000 of total historical time - while one in ten people who ever lived will experience this period. The rate of transition in this last period is approximately 90 years, which is just a touch longer than the life expectancy in developed countries. Furthermore, changes in the developing world are happening twice as fast as in the developed. And the reason for that is the increase in speed with which we, as human beings, exchange information. Demographic Transition And Implications For The Economy If the demographic transition period is estimated correctly and the population growth trajectory will level off, as the population stabilizes at around 10 billion, the world will face two scenarios. Either we are approaching a zero-growth reality, or development will shift from the usual "quantitative" growth model of the economy (agriculturally and later industrially driven), to a qualitative approach, where the generation and exchange of information will be paramount. This fits very well with the current reality, where we can see both scenarios happening simultaneously. While growth is approaching zero in the developed world, the move to an information-driven society is pronounced in emerging and developed markets alike. The transition period is characterized by a decrease in death rates among the population, followed by a fall in birth rates. At the same time, a surge in wealth levels and standard of living occurs, followed by longer life expectancy as a result (Charts 6A & 6B). These processes are accompanied by urbanization and a shift of the workforce from production sectors to services. Chart 6AGlobal Population ##br## Is Getting Older Chart 6BAge Dependency Ratio ##br## (Old Population % Of Working Population) While this transition has taken decades, and sometimes centuries, in the old world, emerging markets are catching up much faster and the gap in development, estimated by the model, might be not more than 50 years (Chart 7). In fact, we already can observe that the later the transition started, the faster the catch-up period. Kapitsa argues that this narrowing is "due to the nonlinear interaction between countries", or in other words, the increased speed of information transfer. What implications will this have for the global economy and emerging market economies in particular? Chart 7Population Transition, As Described By The Model, ##br## In Different Countries Chart 8Global Economic Growth ##br## Driven By EM And FM Global growth will be driven by emerging and frontier markets for the next decades. Developed countries are already at the final stage of development, where growth will oscillate around zero (Chart 8). The implications of demographics for developed world growth have been studied in a recent paper by the Federal Reserve,10 and so we will not go into too much detail. Investors should be aware that, according to the trajectory suggested by the model, the catch-up period and, hence, the period of high growth, will be shorter for emerging and frontier markets than experienced in the developed world. It is fair to assume that by the time frontier countries move into the "emerging" classification, their period of high growth might be limited to several years to a decade. The model suggests that the period of high GDP growth rates is coming to an end and that investors should be prepared for lower growth for longer. World economy will move to a qualitative focus. Kapitsa argues that humankind will not face any resource constraints, as it never has in the past. Resource constraints are overcome by migration and new technology, while the real issue is in the equal distribution of resources (including wealth and knowledge). As a result, in the coming decades the industrial sector might repeat the destiny of the agricultural sector, as seen in the U.S. and other developed economies (Chart 9). Currently only 2.5 - 3% of the world population are working in the agricultural sector, and this is sufficient to produce food for the world. It can be argued that with the further development of technology, such as 3D printing, the problem of industrial overcapacity will become even more prominent and countries with an industrial focus will face a difficult transition period. China is currently one of the EM countries undergoing such a transition, and we can see how the overcapacity created by the "old economy" is weighing on the performance of the overall economy (Chart 10). Chart 9U.S.: Move Of Working Population ##br## From Agriculture And Manufacturing To Services Chart 10Decline Of The No more commodity super-cycles? This might not be exactly true, but investors need to change the way they look at commodities and resource companies (and materials sector overall) (Chart 11). Long-term projections of supply and demand should resemble or incorporate the population growth function, which will have implications for capital expenditure. We have already seen a shift to acquire more technology rather than focus on the resource base (fields, mines etc.) (Chart 12). Chart 11Commodity Super-Cycles Coming To An End? Chart 12Capex Expenditures In The Oil Sector Are Falling The trend is towards cost-saving technology, rather than betting on higher prices and production volume. From the model's perspective, no resources will ever become scarce enough to drive prices sky high for a long period. It is rather a question of getting the timing right and finding a relative long-term dislocation between supply and demand, rather than playing fundamental "peak" stories. Chart 13South African Mining Vs. ##br## U.S. Shale Oil, ##br## A Striking Difference A good example of a winner in the commodity sector is U.S. shale oil: even after two years of low oil prices many companies are ready to restart production and compete on the market within a short period of time. On the other hand, the once mighty mining sector in South Africa is only a shadow of its former self, since most companies have been chasing quantity (mine expansion) and forgot about quality (extraction methods) (Chart 13). The shift of the workforce from the "old economy" to services. This process is nearly complete in the developed world, while still in full swing in the emerging markets. With an ever-aging population even in emerging markets, social spending will have to increase and new sectors - such as education, healthcare, information technology and leisure - will come into investors' focus. Information Technology. The driver of all progress. Kapitsa suggests that information cannot be treated as a commodity, due to its irreversible nature once shared with other participants. Nevertheless, in the way in which the model determines future progress, there will be surely an ever-growing industry built around information protection. It is also interesting to note that the confusion arising between generations of parents and their children is probably the effect of the ever-growing speed of information generation and exchange, where significant technological shifts are happening within the lifetime of one generation and the old generation finds it hard to keep up. The main outcomes of the appearance of an information-centric society will be the following: Disruption to old industries. We see this all over the place: the oil industry being threatened by renewables, brick-and-mortar retailers by online stores, and the banking industry might be the next victim (Chart 14). If banks fail to adopt blockchain technology into their business model, they might be excluded as an unnecessary middle man. Chart 14Change In The S&P Index Composition 1990 - 2016 Leaps in development stages in countries. Assuming historical periods are getting shorter and information exchange is intensifying, we might see more leaps in development stages in emerging, but especially in frontier, markets. This will become a central part of any research: to identify which countries might be "jumping" one or several stages in their development, and what those stages/industries/products might be. Chart 15Computer Companies Vs. Smartphone Producers In the past 10 years we witnessed several such precedents. One was China skipping the PC stage completely, with the appearance of the broadly affordable smartphone. At the end of the 1990s, tech research would have suggested investing in PC makers, extrapolating growth numbers to the Chinese population. How has this worked out (Chart 15)? Another good example is the banking industry in Africa. Apart from South Africa, which has a rich banking tradition, more and more countries in the region see growing numbers of users in the online banking space. People use their phones for every day banking needs. Many banks do not even have a brick-and-mortar presence. Maybe that is why we see so many established institutions struggling in this part of the world (Charts 16A & 16B). Chart 16AMobile Money Use By Region Chart 16BNumber Of Mobile Money Services In Sub-Saharan Africa Education. The population growth model says that information will be the main growth driver in the future and, as a consequence, education will be the most important process in human life. Education will take up more time and effort than in any other period of human history (Chart 17). Already now, education can last as long as 20 to 30 years. Compare that to the learning period of any animal. In many jobs, we are required to learn for the better part of our working life and take tests, write exams and attend seminars to keep up-to-date with progress in our industry. Healthcare. Probably the most obvious outcome because, as the older generation requires more treatment and care, the whole social system will need to be adjusted. Many countries will be unable to bear this burden financially, and the private sector will have to step in. This is what we have seen in China since 2015 (Chart 18). Chart 17Tuition Fees In The U.S. Are A Large Part Of Inflation Chart 18Healthcare As Proportion Of GDP Leisure and entertainment. Maybe not as large or obvious, but it's one of the industries that will benefit. The younger generation has already made a shift from material values, such as luxury brands, to assigning higher values to experiences and creating memories (Chart 19). The appearance of "experience day" offerings (such as driving a super-car or jumping out of an airplane), shifting shopping patterns, or the growing number of travellers even in emerging markets confirms this view. One of the questions that remains is: will government turn out to be the largest employer and provider of services, as for example in the UK (largely because of the National Health Service), or will the private sector take over a large part in this role? Chart 19China Spending On Luxury Goods ##br## Growing More Slowly Than On Travel Chart 20Still Calling Your ##br## Broker? Financial markets: future in the algorithms? It is fair to assume that financial markets will move in the direction of total automation, and will probably be "ruled" by algorithms focusing on short-term strategies (Chart 20). Robo-advisors and passive strategies will decrease commission income and force managers to rethink their investment strategies. On the other hand, people tend to save more as they get older (Chart 21). This pattern reverses, once retirement age is hit (think about medical bills etc.). Consequently, we might see lower demand for savings products once the wave of baby boomers hits retirement, which is bad news for insurance companies and for the bond market. Chart 21Consumption And Income In Perspective Geopolitics - no more large-scale conflicts, but lots of migration? Chart 22Worldwide Battle-related Deaths On The Decline Kapitsa also touched on some controversial topics in his papers - the probability of a global war and a migration crisis (keep in mind there was no migration crisis at the time the theory was developed). Kapitsa argued that, on a global scale, factors such as migration or wars do not really matter for the outcome of the model, creating only statistical "noise". But he also drew some interesting conclusions, arguing that large wars, as we saw them in the 20th century, are unlikely to happen anymore. Because of the restriction on "human resources", states will not be able to conscript and sustain large armies, as it was the case in the past, and conflicts will arise only on a local scale (Chart 22). Chart 23Population In The Baltic States Reducing Dramatically Conflicts are most likely to arise in areas of the world experiencing a spike in their population growth trajectory. This period of time is characterized by the highest instability in the "system". This means that inequality in the distribution of resources is peaking together with the population growth rate, which causes social unrest. Such inequalities in resource distribution are evened out over time together with the levelling-off of the population, or more rapidly through war or migration. On the topic of migration, Kapitsa noted that in general migration flows are driven by the search for resources, but have reduced substantially over time. Some 2,000 years ago or earlier, whole nations moved, but nowadays migration flows barely exceed 0.1% of global population. From Kapitsa's point of view, migration should be nothing to worry about. In the framework of a complex physical system, as long as migration does not come from another planet, it is unlikely to cause any harm. In Europe we might be witnessing the first countries in history with drastically shrinking populations, due to the policy of freedom of movement, and people migrating in search of resources (better work and life prospects) (Chart 23). Furthermore, the older generation will probably become more influential in terms of casting votes and deciding future development of countries or whole continents. This year's two black swan events (Brexit and the outcome of the U.S. election) were essentially driven by the older generation, and the divide in opinion may become even more pronounced in future (Chart 24). Chart 24Election Results Determined By Older Generations Oleg Babanov, Editor/Strategist obabanov@bcaresearch.co.uk 1 Based on the work of Sergey Kapitsa (1928 - 2012) 2 Malthus T.R. 1978. An Essay on the Principle of Population. Oxford World's Classics reprint. 3 Brody, S. Bioenergetics and Growth (Reinhold, New York, 1945) Moen, A. N. Wildlife Ecology: an Analytical Approach (Freeman, San Francisco, 1973) Van Valen, L. Evol. Theory 4, 33-44 (1978). 4 Hoerner, von S. Journal of British Interplanetary Society 28 691 (1975) 5 U.S. Census Bureau (2016). International Data Base. http://www.census.gov/ipc/www/idb/worldpopinfo.php. von Foerster, H., Mora, P., & Amiot, L. (1960). Doomsday: Friday, 13 November, A.D. 2026. Science, 132, 255-296. 6 Maddison, A. (2001). The World Economy: A Millennial Perspective. Paris: OECD. Maddison, A. (2010). Historical Statistics of the World Economy: 1-2008 AD. http://www.ggdc.net/maddison/Historical Statistics/horizontal-file_02-2010.xls. 7 Nielsen, R. W. (2015). Hyperbolic Growth of the World Population in the Past 12,000 Years. http://arxiv.org/ftp/arxiv/papers/1510/1510.00992.pdf 8 From here onwards both papers are quoted extensively: S. P. Kapitsa (1996). The Phenomenological Theory of World Population Growth. Russian Academy of Sciences 9 S.P. Kapitsa (2000). Global Population Growth and Social Economics. Russian Academy of Sciences 10 Gagnon, Etienne, Benjamin K. Johannsen, and David Lopez-Salido (2016). "Understanding the New Normal: The Role of Demographics," Finance and Economics Discussion Series 2016-080. Washington: Board of Governors of the Federal Reserve System, http://dx.doi.org/10.17016/FEDS.2016.08