Technology

Dear Client, I am on the road this week meeting clients. Instead of our regular Weekly Report, we are sending you a piece written by my colleague Brian Piccioni, head of our Technology Sector Strategy Service. In this Special Report Brian discusses how the limitations of Bitcoin and other cryptocurrencies make them extremely speculative investments. Furthermore he discusses the possibilities of blockchain technology for the financial service industry going forward. Best regards, Mathieu Savary, Vice President Foreign Exchange Strategy Feature Summary Modern cryptocurrencies (virtual currencies based on cryptographic methods) originated with the introduction of blockchain technology and the simultaneous launch of Bitcoin. As we noted in our February 9, 2016 Special Report "Bitcoin and Blockchain Technology": Bitcoin has numerous deficiencies which expose its users to fraud; Governments are concerned with use of cryptocurrencies for money laundering, tax evasion, and other criminal activities; The market for Bitcoin is unregulated, liquidity is low, and there is good reason to be suspicious of market quotes for the currency; It is unlikely any virtual currency will become a form of legal tender absent government oversight; and Any investment in Bitcoin related activities should be viewed as highly speculative. In contrast, blockchain technology associated with Bitcoin: Can be applied by the financial services industry to reduce fraud and improve transaction times; Can reduce overhead associated with maintaining a trusted intermediary; Blockchain-related technologies are open and it is hard to imagine that any derivative technology would not be. Therefore, any unusual returns associated with knowledge of the mathematics or applications of blockchain are likely to be transient in nature. The technology itself, however, may lead to significant improvements in the velocity and security of certain types of transactions. Recent Developments Japan Legalizes Cryptocurrencies While we stand by our original analysis, it appears that Japan has allowed the use of virtual currencies effective April 1, 2017, albeit with significant oversight. Requirements include minimum capital levels and annual audits for exchanges. It is unclear to us why the Japanese government saw fit to introduce these changes, and it remains to be seen whether such oversight will be effective. Introduction Of Blockchain As Service Microsoft,1 IBM,2 and Deloitte3 have introduced blockchain services which should facilitate adoption by their traditional clients. We refer readers to the footnotes to explore the quickly changing nature of these firms' offering and we expect that other firms offering software and IT consulting for large enterprise clients will likely also introduce blockchain-related products. Although purists might observe that a centralized approach to blockchain removes the benefits of a distributed leger (see below), it also allows for the correction of many of blockchain's deficiencies (namely anonymity and irreversible transactions). This would make it more applicable in a regulated environment, assuming the implementation incorporates safeguards equivalent to a distributed ledger. Bitcoin Hype Appears To Be Subsiding While Enterprise Interest Is Growing Although we still see some coverage of the day-to-day moves in Bitcoin pricing, we get the sense that hype over cryptocurrencies is subsiding. Online discussions regarding speculating in cryptocurrencies appear to be less excited and neo-Libertarians appear to have moved on. Meanwhile, it seems that financial institutions are taking blockchain technology more seriously, and a large majority of financial services firms expect to deploy blockchain-related technologies over the next few years,4, 5 though some are more cautious on timing.6 Virtual Currencies And Bitcoin According to the ECB, a virtual currency: "... is defined as a digital representation of value, not issued by a central bank, credit institution or e-money institution, which in some circumstances can be used as an alternative to money"7 The IMF has produced Figure 1 which explains the differences between virtual, digital, and cryptocurrencies. Bitcoin was described in a 2008 paper "Bitcoin: A Peer-to-Peer Electronic Cash System".8 The paper outlines a technique (see Figure 2) which does away with the need for a trusted intermediary in executing secure transactions through the use of public key encryption and timestamps. Figure 1Overview Of Virtual Currencies Blockchain And Cryptocurrencies Blockchain And Cryptocurrencies Figure 2Simplified Diagram Of Bitcoin And Blockchain Function Blockchain And Cryptocurrencies Blockchain And Cryptocurrencies Blockchain technology, on which Bitcoin relies, provides: Anonymity of source and destination (neither buyer nor seller need to know each other); Irreversibility, such that no transaction can be reversed without the consent of the parties; and Security, subject to certain limitations, through redundancy and a peer to peer network. The mathematics of blockchain technology creates a verifiable distributed ledger among many computers on a peer to peer network. Because there is no central ledger, costs with maintaining it, arbitrating disputes and compensating for fraudulent transfers are all eliminated. A distributed ledger also means an asset can exist in only one place: there is no chance of embezzlement where an asset is purportedly on one set of books while actually being somewhere else. Bitcoin and blockchain technologies are not synonymous: there are an unlimited number of virtual currencies which can be produced using blockchain-like technologies and blockchain technology can be used to in non-currency applications. Limitations Of Cryptocurrencies Cryptocurrencies present a challenge for governments as anti-money laundering regulations typically require enforcement and monitoring by trusted third parties to report suspicious transactions to authorities. A secure anonymous transaction system such as Bitcoin provides a ready workaround for money laundering and tax evasion, characteristics quickly embraced by the underworld. A complete analysis of the challenges posed by virtual currencies in general and cryptocurrencies in particular can be found in the IMF Staff Discussion Note "Virtual Currencies and Beyond: Initial Considerations".9 Where Theft Isn't Quite Illegal There are three ways to obtain Bitcoin: Exchange "real" money for Bitcoin via an online virtual currency exchange; Exchange good or services for Bitcoin; or "Mine" them using a computer to solve the cryptographic problems. Typically there are more consumers than sellers (i.e. more drug users than drug dealers), so most users convert money to and from Bitcoin via exchanges. Mining still goes on but as the cryptographic hashes become more difficult to solve, and the computing resources and electricity now needed to "mine" Bitcoin require a significant investment.10 Transaction Costs Are Not Insignificant Although blockchain removes the need for a trusted intermediary, introduction of an exchange creates an intermediary. A staggering number of Bitcoin exchanges have been "hacked", most likely by the operators themselves. Lack of regulatory oversight and the anonymous nature of the transactions, including theft, mean that such hacks are rarely solved and victims do not get their Bitcoin back even when they are. It is not clear whether theft of a virtual currency is, in fact, illegal: the question of whether theft of virtual property is theft is a subject of debate,11, 12 suggesting there is no clear answer. Even courts treat the matter differently when there is no issue of criminality besides the alleged theft.13, 14 Besides the money lost to users from fraud, high exchange rates associated with converting Bitcoin to and from "real" currency further add to costs, suggesting that for many users untraceable transactions is more important than transaction costs. Cryptocurrency Can Be Irrevocably Destroyed Or Lost One other feature of Bitcoin which presents a challenge is that it requires a private key or password to transfer it. This means that one can imagine a scenario where an embezzler steals money from a business and immediately converts it into Bitcoin. If caught the embezzler might threaten to destroy the private key, and therefore the money is lost forever. Similarly, the heirs of someone who placed his trust in Bitcoin rather than a bank may discover their inheritance is lost forever unless care was taken to ensure the private key is accessible to the estate after death.15 These issues might arise with any asset secured by a blockchain system unless there are built in safeguards against it. Illiquidity And Unregulated Markets Virtual currency markets have two important characteristics: they are extremely illiquid and unregulated making market manipulation relatively straightforward. Bitcoin, currently has a market cap of about $30B16 but has average daily volume in the range of about 3.4% of the market cap. Note that since transaction costs (though not the exchange rates) associated with Bitcoin are small and optional,17 and since the market is unregulated and anonymous, there is nothing to prevent individuals from wash trading or other forms of market manipulation.18 Chinese Yuan trading volume has rapidly increased since 2013, and up until January 2017 accounted for the overwhelming majority of Bitcoin trading (Chart 1). Although other factors may have influenced the rise in Chinese bitcoin trading, zero-fee trade structures (which lead to wash trading) contributed as well. Chinese Bitcoin trading volume collapsed in January 2017, after exchanges began charging trading fees, likely due to regulatory pressure from the government.19 This had a dramatic impact on the volume of Bitcoins traded globally (Chart 2), although the price has stayed high, indicating that marginal demand from Bitcoin bulls remains high enough to keep them in charge of this market for now. As has happened before in 2013, prices will likely drop once these bulls capitulate. Chart 1Bitcoin Trading Volume* Breakdown##br## (Top 3 Currencies) Blockchain And Cryptocurrencies Blockchain And Cryptocurrencies Chart 2Bitcoin Trading Volumes Collapsed ##br##After Chinese Exchanges Introduced Transaction Fees Bitcoin Trading Volumes Collapsed After Chinese Exchanges Introduced Transaction Fees Bitcoin Trading Volumes Collapsed After Chinese Exchanges Introduced Transaction Fees Unregulated financial systems devolve to fraud, and there is no reason to believe a market dominated by unsophisticated, anonymous, participants trading an intangible asset with uncertain liquidity where fraud or theft is not necessarily illegal is, in any way, an efficient market. Sadly, even mainstream media appear to ignore these realities when covering Bitcoin and related price moves. Distributed Legers And Their Application One of the most significant innovations associated with cryptocurrencies is the concept of a secure, distributed ledger (Figure 3, left panel) in lieu of a centralized ledger maintained by a trusted authority such as a bank or brokerage (Figure 3, right panel). Although the application of distributed ledgers has been with cryptocurrencies, there are many potential applications in traditional financial markets since assets such as stocks and bonds are held by a dealer while ownership can change frequently. Adoption of a distributed ledger system can20 and has been used to "facilitate the issuance, cataloging and recording of transfers of shares of privately-held companies on The NASDAQ Private Market". According to NASDAQ, "Blockchain technology has the potential to assist in expediting trade clearing and settlement from the current equity market standards of three days to as little as ten minutes".21 Aspects of Bitcoin which permit its criminal use are not inherent characteristics of blockchain, or distributed ledger technologies in general. The technology will almost certainly be improved in order to eliminate those problems by incorporating an audit trail (to reduce its use for tax evasion or money laundering), reversibility (to allow for the reversal of trading errors), and so on. Figure 3 Blockchain And Cryptocurrencies Blockchain And Cryptocurrencies Investment Summary And Implications For Currency Markets The long term investment impact of Bitcoin will likely be insignificant as exchanges and mining operations disappear into the dark net (i.e. the part of the Internet used by criminals). Investors should consider a position in Bitcoin, whether the currency or related services such as exchanges or mining, to be highly speculative. Blockchain Technology Is Open To Anyone The profusion of cryptocurrencies shows that blockchain technology can be adapted by anyone with the requisite understanding the mathematics involved. Time and again we find investor interest in certain emerging technologies rapidly dissipates once expertise becomes commonplace, regardless of the broader impact on society. We suspect a similar thing will happen with blockchain technology namely that it will become broadly used in a number of applications, however, besides the few companies which are acquired, few will become significant or profitable and most such acquisitions will be written down not long after they are consummated. Blockchain Technology Will Be Broadly Adopted Blockchain technology has broad implications for the financial services industry as a mechanism to reduce costs and transaction times. These are all unequivocal positives for the industry and society in general, but can be construed as deflationary and not conducive to sustainable profit gains. What Does This All Mean For Currency Investors? The progress in blockchain-related technology is a promising development for the future ease of transaction processing. However, due to the limitation embedded in Bitcoin and other cryptocurrencies, fiat currencies are not yet at risk. For the time being, BTC and co. are still very speculative and volatile instruments that do not qualify as stores of value. In fact, the concerns of global governments with the use of cryptocurrencies for illicit purposes, as well as all the security risks still associated with their ownership, continue to be handicaps. This suggests that when it comes to the need for safety, these cryptocurrencies are not yet alternatives to the dollar, Swiss franc, and government bonds issued by the German and U.S. governments. Instead, gold and precious metals should remain the vehicle of choice for investors concerned with safety and the debasing of fiat currencies that may result from the large debt loads of the advanced economies' governments. As a result, we continue to think of these crypto currencies as high beta plays on the dollar and Chinese capital flows. Since BCA's view is that the dollar bull market is about to resume in full force, this implies that investors should fade the recent BTC rally. Moreover, the capital controls put in place by the Chinese authorities are working, and China is raising the cost of transacting in BTC. With BTC now expensive, and expected returns fading, this combination is likely to prove poisonous for Bitcoin. Another big selloff is thus likely. Final Thoughts A significant barrier to entry in technology markets is Intellectual Property (IP). Blockchain is an open technology, though is likely that extensions to blockchain could be made which the inventors hope will remain proprietary. However, there are several barriers to this happening: Any blockchain system is based on mathematics, and it is not clear when mathematics can be patented22, 23 Distributed ledgers work best when there are many users; and Any blockchain system would have to be open and understood to be trusted. Brian Piccioni, Vice President Technology Sector Strategy brianp@bcaresearch.com Mathieu Savary, Vice President Foreign Exchange Strategy mathieu@bcaresearch.com Paul Kantorovich, Research Analyst paulk@bcaresearch.com 1 https://azure.microsoft.com/en-ca/solutions/blockchain/ 2 https://www.ibm.com/blockchain/ 3 http://rubixbydeloitte.com/ 4 http://www.bain.com/publications/articles/blockchain-in-financial-markets-how-to-gain-an-edge.aspx 5 https://www.ethnews.com/deutsche-bundesbank-optimistic-about-blockchain-for-financial-markets 6 https://www.fnlondon.com/articles/blockchain-for-finance-is-10-years-away-20170410 7 https://www.ecb.europa.eu/pub/pdf/other/virtualcurrencyschemesen.pdf 8 https://bitcoin.org/bitcoin.pdf 9 http://www.imf.org/external/pubs/ft/sdn/2016/sdn1603.pdf 10 http://motherboard.vice.com/read/bitcoin-is-unsustainable 11 www.nzlii.org/nz/journals/CanterLawRw/2011/21.pdf 12 https://virtualcrimlaw.wordpress.com/2013/11/03/alls-fair-in-love-and-wow-virtual-theft-may-elude-real-life-prosecution/ 13 http://www.dailymail.co.uk/news/article-2328922/Teenager-dragged-court-giving-away-friends-VIRTUAL-gold-coins-online-fantasy-game.html 14 http://www.virtualpolicy.net/runescape-theft-dutch-supreme-court-decision.html 15 http://www.dailydot.com/business/what-happens-bitcoin-when-you-die/ 16 http://coinmarketcap.com/ 17 https://en.bitcoin.it/wiki/Transaction_fees 18 http://cointelegraph.com/news/115382/bitcoin-price-analysis-wash-trading-and-rising-volume 19 http://www.coindesk.com/chinas-big-three-bitcoin-exchanges-end-no-fee-policy/ 20 http://ir.nasdaq.com/releasedetail.cfm?releaseid=938667 21 http://ir.nasdaq.com/releasedetail.cfm?ReleaseID=948326 22 http://techcrunch.com/2013/03/28/judge-says-mathematical-algorithms-cant-be-patented-dismisses-uniloc-claim-against-rackspace/ 23 http://www.supremecourt.gov/opinions/13pdf/13-298_7lh8.pdf Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Closed Trades

Highlights Eurostoxx50 versus S&P500 boils down to a simple choice: Banco Santander, BNP Paribas and ING; or Apple, Microsoft and Google? Right now, we would rather own the three tech stocks than the three banks - which necessarily means underweighting the Eurostoxx50 versus the S&P500. Eurostoxx50 performance relative to the FTSE100 boils down to the inverse direction of euro/pound. Right now, we expect euro/pound to strengthen - which necessarily means underweighting the Eurostoxx50 versus the FTSE100. Stay overweight Spanish Bonos versus French OATs as a structural position. Feature Which would you rather own: Banco Santander, BNP Paribas and ING; or Apple, Microsoft and Google?1 Surprising as it may seem, the all-important allocation decision between the Eurostoxx50 and the S&P500 boils down to this simple choice. The Chart of the Week should leave no doubt that everything else is largely irrelevant. Chart of the WeekEurostoxx50 Vs. S&P500 = Santander, BNP & ING Vs. Apple, Microsoft & Google Eurostoxx50 Vs. S&P500 = Santander, BNP & ING Vs. Apple, Microsoft & Google Eurostoxx50 Vs. S&P500 = Santander, BNP & ING Vs. Apple, Microsoft & Google Right now, we would rather own the top three U.S. tech stocks rather than the top three euro area banks - which necessarily means underweighting the Eurostoxx50 versus the S&P500. The Fallacy Of Division For Equities The fallacy of division is a logical fallacy. It occurs when somebody falsely infers that what is true for the whole is also true for the parts that make up the whole. As a simple example, somebody might infer that because their computer screen appears purple, the pixels that make up the screen are also purple. In fact, the pixels are not purple. They are either red or blue. The fallacy of division is that the property of the whole - purpleness - does not translate to the property of the constituent parts - redness or blueness. As investment strategists, we hear a common fallacy of division. Since global equities are a play on the global economy, it might seem that national equity markets - like Ireland's ISEQ or Denmark's OMX - are plays on their national economies. In fact, nothing could be further from the truth. The property of the equity market as a global aggregate does not translate to the property of equity markets as national parts. The equity markets in Ireland and Denmark are each dominated by one stock which accounts for almost a quarter of national market capitalization - in Ireland, Ryanair, the pan-European budget airline, and in Denmark, Novo Nordisk, the global pharmaceutical company. Therefore, the relative performance of Ireland's ISEQ has almost no connection with Ireland's economy; rather, it is a just a play on airlines. And given budget airlines' sensitivity to fuel costs, Ireland's ISEQ is counterintuitively an inverse play on the oil price (Chart I-2). Likewise, the relative performance of Denmark's OMX has no connection with Denmark's economy; it is just a strong play on global pharma (Chart I-3). Chart I-2Ireland = Short Oil Ireland = Short Oil Ireland = Short Oil Chart I-3Denmark = Long Pharma Denmark = Long Pharma Denmark = Long Pharma In a similar vein, the relative performance of Switzerland's SME is also a play on global pharma - via Novartis and Roche (Chart I-4); Norway's OBX is a play on global energy - via Statoil (Chart I-5); and Italy's MIB and Spain's IBEX are plays on banks (Chart I-6 and Chart I-7). We could continue, but you get our drift... Chart I-4Switzerland = Long Pharma / Short Oil Switzerland = Long Pharma / Short Oil Switzerland = Long Pharma / Short Oil Chart I-5Norway = Long Oil Norway = Long Oil Norway = Long Oil Chart I-6Italy = Long Banks Italy = Long Banks Italy = Long Banks Chart I-7Spain = Long Banks Spain = Long Banks Spain = Long Banks But what about a regional index like the Eurostoxx50 or Eurostoxx600: surely, with the broader exposure, there must be a strong connection with the euro area economy? Unfortunately not - at least, not when it comes to relative performance. Consider that for the past few years, the euro area economy has actually outperformed the U.S. economy2 (Chart I-8). Yet the Eurostoxx50 has substantially underperformed the S&P500 (Chart I-9). What's going on? The answer is that the Eurostoxx50 has a major 15% weighting to banks and a minor 7% weighting to tech. The S&P500 is the mirror image; a minor 7% weighting to banks and a major 22% weighting to tech. Chart I-8The Euro Area Economy ##br##Has Outperformed... The Euro Area Economy Has Outperformed... The Euro Area Economy Has Outperformed... Chart I-9...But The Eurostoxx50##br## Has Underperformed ...But The Eurostoxx50 Has Underperformed ...But The Eurostoxx50 Has Underperformed For the Eurostoxx50 the distinguishing property is 'bank'; for the S&P500 it is 'tech'. And as we saw earlier, these distinguishing properties are captured by just three large euro area banks and three large U.S tech stocks. So index relative performance simply boils down to whether the three euro area banks outperform the three U.S. tech stocks, or vice-versa. Everything else is largely irrelevant. Equities' Connection With Economies Is Often Counterintuitive When it comes to the FTSE100, it turns out that it is not more bank or tech than the Eurostoxx50. Major sector weightings across the two indexes are broadly similar. Hence, relative performance is more connected to relative economic performance. But there is a catch - the connection is not as intuitive as you might first think. You see, both major indexes are made up of dollar-earning multinational companies. Yet the index value and earnings are quoted in pounds and euros respectively. If the home currency appreciates, index earnings - translated from dollars into home currency - go down, depressing index relative performance with it. And the opposite happens if the home currency depreciates. So the counterintuitive thing is that a relatively strengthening home economy does not result in index outperformance. Quite the opposite, it normally means a relatively more hawkish central bank, and an appreciating currency (Chart I-10). Thereby it causes index underperformance. Hence, Eurostoxx50 performance relative to the FTSE100 boils down to the inverse direction of euro/pound. Once again, Chart I-11 should leave readers in no doubt. Chart I-10A Relatively More Hawkish Central Bank =##br## A Stronger Currency A Relatively More Hawkish Central Bank = A Stronger Currency A Relatively More Hawkish Central Bank = A Stronger Currency Chart I-11A Stronger Currency = ##br##Equity Index Underperformance A Stronger Currency = Equity Index Underperformance A Stronger Currency = Equity Index Underperformance Which neatly brings us to today's ECB meeting. The ECB is a tunnel-vision 2% inflation-targeting central bank. Any upgrade to its inflation forecast, as seems likely, would imply less need for its extreme and experimental monetary easing. Once digested by the market, this would support the euro. Meanwhile, on the other side of the Channel, the U.K. Government is preparing to trigger Article 50 of the Lisbon Treaty and start its formal divorce from the EU within a couple of weeks. Expect the EU's immediate response to cast long shadows across Theresa May's vision of a future in sunlit uplands. Once digested by the market, this would further weigh down the pound. A stronger euro/pound necessarily means underweighting the Eurostoxx50 versus the FTSE100. The Fallacy Of Division For Bonds The fallacy of division also applies to euro area sovereign bonds. The aggregate euro area sovereign yield just equals the average ECB policy rate anticipated over the lifetime of the bond (Chart I-12). This is directly analogous to the relationship between the U.K. gilt yield and the anticipated path of the BoE base rate, and the relationship between the U.S. T-bond yield and the anticipated path of the Fed funds rate (Chart I-13). Chart I-12The Aggregate Euro Area Bond Yield = ##br##The Average ECB Policy Rate Expected The Aggregate Euro Area Bond Yield = The Average ECB Policy Rate Expected The Aggregate Euro Area Bond Yield = The Average ECB Policy Rate Expected Chart I-13The U.S. T-Bond Yield = ##br##The Average Fed Funds Rate Expected The U.S. T-Bond Yield = The Average Fed Funds Rate Expected The U.S. T-Bond Yield = The Average Fed Funds Rate Expected But what is true for the whole is not necessarily true for the parts that make up the whole. Individual euro area sovereign bond yields carry a second component which can override everything else. This second component is a redenomination premium as compensation for the expected loss if the bond redenominates out of euros. For example, the redenomination premium on a Spanish Bono versus a French OAT equals: The annual probability of euro breakup Multiplied by The expected undervaluation of a new peseta versus a new franc. However, the ECB's own analysis shows that Spain is now as competitive as France (Chart I-14), meaning that a new peseta ultimately should not lose value versus a new franc. So irrespective of the probability of euro breakup, the second item of the multiplication should be zero. Meaning that the redenomination premium should also be zero, rather than today's 75 bps (on 10-year Bonos over OATs). Bear in mind that Spain's housing bust and subsequent recapitalisation of its banks has followed Ireland's template - just with a two year lag. And observe that the redenomination premium on Irish 10-year bonds over OATs, which once stood at a remarkable 1100 bps, has now completely vanished. We expect Spain to continue following in the footsteps of Ireland (Chart I-15). As a structural position, stay long Spanish Bonos versus French OATs. Chart I-14Spain Has Dramatically Improved##br## Its Competitiveness Spain Has Dramatically Improved Its Competitiveness Spain Has Dramatically Improved Its Competitiveness Chart I-15Spain Is Following In The##br## Footsteps Of Ireland Spain Is Following In The Footsteps Of Ireland Spain Is Following In The Footsteps Of Ireland Dhaval Joshi, Senior Vice President European Investment Strategy dhaval@bcaresearch.com 1 Listed as Alphabet. 2 On a per capita basis. Fractal Trading Model* Long tin / short copper hit its 5% profit target, while short MSCI AC World hit its 2.5% stop-loss. This week's recommendation is to short ruble / dollar. For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment's fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. Chart I-16 Short RUB/USD Short RUB/USD * For more details please see the European Investment Strategy Special Report "Fractals, Liquidity & A Trading Model," dated December 11, 2014, available at eis.bcaresearch.com The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions. Fractal Trading Model Recommendations Equities Bond & Interest Rates Currency & Other Positions Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch ##br##- Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations

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. Semiconductor Stocks Are Fraying Around The Edges Semiconductor Stocks Are Fraying Around The Edges

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. The Window Has Closed For Data Processors The Window Has Closed For Data Processors

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 Shifting Internal Dynamics Shifting Internal Dynamics 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 Future Growth Has Been Paid For Already Future Growth Has Been Paid For Already Chart 2The Market Tone Is Changing The Market Tone Is Changing The 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 Forward Looking Yellow Flags Forward Looking Yellow Flags Chart 4No EM Confirmation For Cyclicals No EM Confirmation For Cyclicals No 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 Shifting Internal Dynamics Shifting Internal Dynamics Chart 5Lots Of Upside Lots Of Upside Lots Of Upside Chart 6A Growing Gap A Growing Gap A 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... Powerful Momentum... Powerful Momentum... Chart 8... With Long-Term Durability ... With Long-Term Durability ... With Long-Term Durability Chart 9Growing Into Valuations Growing Into Valuations Growing 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 Running On Empty Running On Empty Chart 11Too Much Capacity Too Much Capacity Too 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 The Window Has Closed The Window Has Closed Chart 13Sell Signals Sell Signals Sell Signals Chart 14Margin Squeeze Margin Squeeze Margin 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 (%) Overbought, But... Overbought, But... 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 Buy At Your Own Risk Buy At Your Own Risk Chart 2Sector Vulnerabilities And Opportunities Overbought, But... Overbought, But... 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 Overbought Conditions Can Persist Overbought 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 Catch Up Ahead Catch Up Ahead Chart 5Time To Rally Time To Rally Time 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 Contrasting Profiles Contrasting Profiles Chart 7The Strong Dollar Is Worse For Tech The Strong Dollar Is Worse For Tech The 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 Unsustainable Divergences Unsustainable Divergences Chart 9Inflation Pressures? Buy This Ratio Inflation Pressures? Buy This Ratio Inflation 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 Higher Rates Are Not A Show Stopper Higher Rates Are Not A Show Stopper Chart 11Lumber Strength Is Housing Bullish Lumber Strength Is Housing Bullish Lumber 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... Buy Homebuilders... Buy Homebuilders... Chart 13... And Building Supply Retailers ... And Building Supply Retailers ... 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... Pricing Power Revival... Pricing Power Revival... Chart 2... But A Liquidity Drain ... But A Liquidity Drain ... But A Liquidity Drain Chart 3Show Me The Money Show Me The Money Show Me The Money Chart 4Yellow Flag Yellow Flag Yellow Flag Chart 5Pricing Recovery Is Not Broad Based Pricing Recovery Is Not Broad Based Pricing Recovery Is Not Broad Based Chart 6Indicator Snapshot Indicator Snapshot Indicator Snapshot Chart 7Focus On Value Focus On Value Focus On Value Chart 8Mean Reversion Ahead Mean Reversion Ahead Mean Reversion Ahead Chart 9Fundamentals Favor Defensives... Fundamentals Favor Defensives... Fundamentals Favor Defensives... Chart 10... As Do Market Signals ... As Do Market Signals ... As Do Market Signals Chart 1112-Month Performance After Fed Hikes Cyclical Indicator Update Cyclical Indicator Update Chart 1224-Month Performance After Fed Hikes Cyclical Indicator Update Cyclical Indicator Update Chart 13Staples Will Cushion A Volatility Resurgence Staples Will Cushion A Volatility Resurgence Staples Will Cushion A Volatility Resurgence Chart 14Media Stocks Like A Strong Currency Media Stocks Like A Strong Currency Media Stocks Like A Strong Currency Chart 15Unduly Punished Unduly Punished Unduly Punished Chart 16Strong Fundamental Support Strong Fundamental Support Strong Fundamental Support Chart 17Less Production... Less Production... Less Production... Chart 18... Means More Rigs ... Means More Rigs ... Means More Rigs Chart 19End Of Sugar High End Of Sugar High End Of Sugar High Chart 20A Toxic Mix A Toxic Mix A Toxic Mix Chart 21Tech Stocks Don't Like Inflation Tech Stocks Don't Like Inflation Tech Stocks Don't Like Inflation Chart 22Time To Disconnect Time To Disconnect Time 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 Staples S&P Consumer Staples 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 Consumer Discretionary S&P Consumer Discretionary 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 Real Estate S&P Real Estate 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 Health Care S&P Health Care 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 Financials S&P Financials 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 Energy S&P Energy 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 Utilities S&P Utilities 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 Industrials S&P Industrials 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 Materials S&P Materials 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 Technology S&P Technology 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 S&P Telecommunication Services S&P Telecommunication Services 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 Size Indicator (Small Vs. Large Caps) Size Indicator (Small Vs. Large Caps)

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. Communications Equipment Stocks May Lose Their Signal Communications Equipment Stocks May Lose Their Signal

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. Worried About Inflation? Sell Technology Worried About Inflation? Sell Technology

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 Cooks, Waitresses And Bartenders Is The Fastest Growing Employment Sector Cooks, 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 Cost Of Living Extremely Well Continues To Rise Unabated The 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 The Superstar Economy: Part 2 The Superstar Economy: Part 2 Table I-2The U.K. Value Added Profile Is Similar To The Jobs Profile The Superstar Economy: Part 2 The Superstar Economy: Part 2 Table I-3U.S. Jobs Have Gone... The Superstar Economy: Part 2 The Superstar Economy: Part 2 Table I-4...To Where Machines Cannot (Yet) Beat Humans The Superstar Economy: Part 2 The Superstar Economy: Part 2 Table I-5The U.S. Value Added Profile Is Similar To The Jobs Profile The Superstar Economy: Part 2 The Superstar Economy: Part 2 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 The Superstar Economy: Part 2 The Superstar Economy: Part 2 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