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Season Of The Glitch

When I look over my shoulder What do you think I see? Some other cat lookin’ over His shoulder at me. – Donovan, “Season of the Witch” (1966) Josh Leonard: I see why you like this video camera so much. Heather Donahue: You do? Josh Leonard: It’s not quite reality. It’s like a totally filtered reality. It’s like you can pretend everything’s not quite the way it is. – “The Blair Witch Project” (1999) Over the past two months, more than 90 Wall Street Journal articles have used the word “glitch”. A few choice selections below: Bank of New York Mellon Corp.’s chief executive warned clients that his firm wouldn’t be able to solve all pricing problems caused by a computer glitch before markets open Monday. – “BNY Mellon Races to Fix Pricing Glitches Before Markets Open Monday”, August 30, 2015 A computer glitch is preventing hundreds of mutual and exchange-traded funds from providing investors with the values of their holdings, complicating trading in some of the most widely held investments. – “A New Computer Glitch is Rocking the Mutual Fund Industry”, August 26, 2015 Bank says data loss was due to software glitch. – “Deutsche Bank Didn’t Archive Chats Used by Some Employees Tied to Libor Probe”, July 30, 2015 NYSE explanation confirms software glitch as cause, following initial fears of a cyberattack. – “NYSE Says Wednesday Outage Caused by Software Update”, July 10, 2015 Some TD Ameritrade Holding Corp. customers experienced delays in placing orders Friday morning due to a software glitch, the brokerage said.. – “TD Ameritrade Experienced Order Routing, Messaging Problems”, July 10, 2015 Thousands of investors with stop-loss orders on their ETFs saw those positions crushed in the first 30 minutes of trading last Monday, August 24th. Seeing a price blow right through your stop is perhaps the worst experience in all of investing because it seems like such a betrayal. “Hey, isn’t this what a smart investor is supposed to do? What do you mean there was no liquidity at my stop? What do you mean I got filled $5 below my stop? Wait… now the price is back above my stop! Is this for real?” Welcome to the Big Leagues of Investing Pain. What happened last Monday morning, when Apple was down 11% and the VIX couldn’t be priced and the CNBC anchors looked like they were going to vomit, was not a glitch. Yes, a flawed SunGard pricing platform was part of the proximate cause, but the structural problem here- and the reason this sort of dislocation WILL happen again, soon and more severely- is that a vast crowd of market participants- let’s call them Investors- are making a classic mistake. It’s what a statistics professor would call a “category error”, and it’s a heartbreaker. Moreover, there’s a slightly less vast crowd of market participants- let’s call them Market Makers and The Sell Side- who are only too happy to perpetuate and encourage this category error. Not for nothing, but Virtu and Volant and other HFT “liquidity providers” had their most profitable day last Monday since… well, since the Flash Crash of 2010. So if you’re a Market Maker or you’re on The Sell Side or you’re one of their media apologists, you call last week’s price dislocations a “glitch” and misdirect everyone’s attention to total red herrings like supposed forced liquidations of risk parity strategies. Wash, rinse, repeat. The category error made by most Investors today, from your retired father-in-law to the largest sovereign wealth fund, is to confuse an allocation for an investment. If you treat an allocation like an investment… if you think about buying and selling an ETF in the same way that you think about buying and selling stock in a real-life company with real-life cash flows… you’re making the same mistake that currency traders made earlier this year with the Swiss Franc (read “ Ghost in the Machine ” for more). You’re making a category error, and one day- maybe last Monday or maybe next Monday- that mistake will come back to haunt you. The simple fact is that there’s precious little investing in markets today- understood as buying a fractional ownership position in the real-life cash flows of a real-life company- a casualty of policy-driven markets where real-life fundamentals mean next to nothing for market returns. Instead, it’s all portfolio positioning, all allocation, all the time. But most Investors still maintain the pleasant illusion that what they’re doing is some form of stock-picking, some form of their traditional understanding of what it means to be an Investor. It’s the story they tell themselves and each other to get through the day, and the people who hold the media cameras and microphones are only too happy to perpetuate this particular form of filtered reality. Now there’s absolutely nothing wrong with allocating rather than investing. In fact, as my partners Lee Partridge and Rusty Guinn never tire of saying, smart allocation is going to be responsible for the vast majority of public market portfolio returns over time for almost all investors. But that’s not the mythology that exists around markets. You don’t read Barron’s profiles about Great Allocators. No, you read about Great Investors, heroically making their stock-picking way in a sea of troubles. It’s 99% stochastics and probability distributions – really, it is – but since when did that make a myth less influential? So we gladly pay outrageous fees to the Great Investors who walk among us, even if most of us will never enjoy the outsized returns that won their reputations. So we search and search for the next Great Investor, even if the number of Great Investors in the world is exactly what enough random rolls of the dice would produce with Ordinary Investors. So we all aspire to be Great Investors, even if almost all of what we do- like buying an ETF- is allocating rather than investing. The key letter in an ETF is the F. It’s a Fund, with exactly the same meaning of the word as applied to a mutual fund. It’s an allocation to a basket of securities with some sort of common attribute or factor that you want represented in your overall portfolio, not a fractional piece of an asset that you want to directly own. Yes, unlike a mutual fund you CAN buy and sell an ETF just like a single name stock, but that doesn’t mean you SHOULD. Like so many things in our modern world, the exchange traded nature of the ETF is a benefit for the few (Market Makers and The Sell Side) that has been sold falsely as a benefit for the many (Investors). It’s not a benefit for Investors. On the contrary, it’s a detriment. Investors who would never in a million years consider trading in and out of a mutual fund do it all the time with an exchange traded fund, and as a result their thoughtful ETF allocation becomes just another chip in the stock market casino. This isn’t a feature. It’s a bug. What we saw last Monday morning was a specific manifestation of the behavioral fallacy of a category error, one that cost a lot of Investors a lot of money. Investors routinely put stop-loss orders on their ETFs. Why? Because… you know, this is what Great Investors do. They let their winners run and they limit their losses. Everyone knows this. It’s part of our accepted mythology, the Common Knowledge of investing. But here’s the truth. If you’re an Investor with a capital I (as opposed to a Trader with a capital T), there’s no good reason to put a stop-loss on an ETF or any other allocation instrument. I know. Crazy. And I’m sure I’ll get 100 irate unsubscribe notices from true-believing Investors for this heresy. So be it. Think of it this way… what is the meaning of an allocation? Answer: it’s a return stream with a certain set of qualities that for whatever reason – maybe diversification, maybe sheer greed, maybe something else – you believe that your portfolio should possess. Now ask yourself this: what does price have to do with this meaning of an allocation? Answer: very little, at least in and of itself. Are those return stream qualities that you prize in your portfolio significantly altered just because the per-share price of a representation of this return stream is now just below some arbitrary price line that you set? Of course not. More generally, those return stream qualities can only be understood… should only be understood… in the context of what else is in your portfolio. I’m not saying that the price of this desired return stream means nothing. I’m saying that it means nothing in and of itself. An allocation has contingent meaning, not absolute meaning, and it should be evaluated on its relative merits, including price. There’s nothing contingent about a stop-loss order. It’s entirely specific to that security… I want it at this price and I don’t want it at that price, and that’s not the right way to think about an allocation. One of my very first Epsilon Theory notes, “ The Tao of Portfolio Management ,” was on this distinction between investing (what I called stock-picking in that note) and allocation (what I called top-down portfolio construction), and the ecological fallacy that drives category errors and a whole host of other market mistakes. It wasn’t a particularly popular note then, and this note probably won’t be, either. But I think it’s one of the most important things I’ve got to say. Why do I think it’s important? Because this category error goes way beyond whether or not you put stop-loss orders on ETFs. It enshrines myopic price considerations as the end-all and be-all for portfolio allocation decisions, and it accelerates the casino-fication of modern capital markets, both of which I think are absolute tragedies. For Investors, anyway. It’s a wash for Traders… just gives them a bigger playground. And it’s the gift that keeps on giving for Market Makers and The Sell Side. Why do I think it’s important? Because there are so many Investors making this category error and they are going to continue to be, at best, scared out of their minds and, at worst, totally run over by the Traders who are dominating these casino games. This isn’t the time or the place to dive into gamma trading or volatility skew hedges or liquidity replenishment points. But let me say this. If you don’t already understand what, say, a gamma hedge is, then you have ZERO chance of successfully trading your portfolio in reaction to the daily “news”. You’re going to be whipsawed mercilessly by these Hollow Markets , especially now that the Fed and the PBOC are playing a giant game of Chicken and are no longer working in unison to pump up global asset prices . One of the best pieces of advice I ever got as an Investor was to take what the market gives you. Right now the market isn’t giving us much, at least not the sort of stock-picking opportunities that most Investors want. Or think they want. That’s okay. This, too, shall pass. Eventually. Maybe . But what’s not okay is to confuse what the market IS giving us, which is the opportunity to make long-term portfolio allocation decisions, for the sort of active trading opportunity that fits our market mythology. It’s easy to confuse the two, particularly when there are powerful interests that profit from the confusion and the mythology. Market Makers and The Sell Side want to speed us up, both in the pace of our decision making and in the securities we use to implement those decisions, and if anything goes awry … well, it must have been a glitch. In truth, it’s time to slow down, both in our process and in the nature of the securities we buy and sell. And you might want to turn off the TV while you’re at it.

Smart Neutral Portfolios

Summary Asset allocation decisions are the most important ones that investors make. Here are some recommendations. Modern Portfolio Theory asserts that the global market portfolio is optimal for the average investor, but its underlying assumptions are too restrictive. Also, defining the global market portfolio is no easy trick. An article by Doeswijik, Lam, and Swinkels (2012) provides very helpful research. Target date funds from Vanguard, Fidelity, and Schwab provide an indication of conventional thinking regarding asset allocation for U.S. investors. In a blend of these approaches, “smart neutral portfolios” are presented for conservative, moderate, and aggressive investors. The Need for Neutral Portfolios Most investors realize that asset allocation decisions are the most important ones that they will make. Studies have shown that the vast majority (90% or more) of the long-term return of any overall portfolio is determined by its asset mix. The risk and return implications of even relatively modest differences in asset mix can be dramatic, particularly when compounded over time. Investors, especially those savvy enough to realize the dire consequences of being wrong on asset mix, are afraid of making a mistake. They are eager for guidance that will help them make sound asset allocation decisions. This paper, which builds upon an earlier paper concerning asset mix , is designed to fill that need. Neutral portfolios provide a recommended asset mix in the absence of an informational edge relative to other investors. They are recommendations for the neutral or normal asset mix for a typical investor. (I focus on U.S. investors.) The circumstances of each investor will influence the neutral portfolio appropriate for their situation. Typically, level of investor risk aversion and expected investment horizon are the most important circumstances that affect neutral portfolios. Investors with the lowest levels of risk aversion (highest risk acceptance) and/or the longest investment horizons will have the most aggressive portfolios. Those with high risk aversion and/or short horizons will prefer the more conservative portfolios. Below I present three neutral portfolios, for conservative, moderate, and aggressive investors. These can be further customized as needed. The Global Capital Market Portfolio Under a fairly restrictive set of assumptions, Modern Portfolio Theory (MPT) recommends that all investors own a representative slice of the global market portfolio. The global market portfolio includes all capital assets weighted according to their total market value (capitalization). Capital assets clearly include stocks, bonds, and commercial real estate, but could also include commodities, currencies, private equity, and even human capital in the form of education. However, usually the global market portfolio is assumed to include only investable capital assets, such as publicly traded stocks, bonds, and real estate securities. Many investors find great comfort in the fact that, so defined, MPT provides a universal, exact, and intellectually defensible neutral portfolio. It is the portfolio that can be owned by all global investors. It is assumed to be the most efficient portfolio, meaning that it has the highest expected return compared to expected risk. Although limiting the global market portfolio to publicly traded stocks, bonds, and real estate securities is common, arguably it leaves out a large segment of assets that could be very important, including non-traded real estate and privately owned companies. Measuring the size of these less common components of the global capital market, and calculating their returns, is problematic. The returns of publicly traded real estate (e.g., REITs) and publicly traded companies that invest in private equity can be used to proxy for non-traded real estate and private company returns, but the approximation will be rough at best. The best recent work attempting to measure the market values of a very wide variety of global capital assets is found in a 2012 paper by Doeswijik, Lam, and Swinkels (DLS) entitled Strategic Asset Allocation: The Global Multi-Asset Market Portfolio 1959-2011 . In the table below, I cite their figures as a starting point and then make several adjustments. I mentioned above that MPT has some fairly restrictive assumptions. These are not necessarily realistic. For example: MPT Assumption: Well informed investors will not prefer capital assets in their home country over other global assets. Reality: Investors are generally saving to fund future expenditures in their home country denominated in their home currency, so a bias in favor of the home market is entirely sensible. MPT Assumption: Global capital markets are frictionless, with no tax, legal, structural, informational, or cultural barriers to the free flow of capital. Reality: Important barriers exist in many countries, and these often reinforce the home market bias. MPT Assumption: All investors are motivated only by economics (risk and return). Reality: Some important investors are motivated mainly by politics, including governments and central banks. Many institutional investors operate with various regulatory or tax structures that affect their investments. All investors are influenced to some extent by various psychological biases. MPT Assumption: All capital assets are priced efficiently and reflect all knowable return and risk expectations. Reality: The volatility in the pricing of capital assets far exceeds any rational changes in return and risk expectations, indicating a high level of time-series inefficiency. (Price changes are far too large relative to changes in fundamentals.) Furthermore, objective studies have shown certain “anomalies,” or excess risk-adjusted returns, associated with characteristics such as value and momentum. The DLS global portfolio data is an excellent start, but in my opinion, several adjustments are needed as described below. (click to enlarge) The first adjustment I make to the DLS data (from the original article) is to break out U.S. stocks, bonds, and real estate from non-U.S. stocks, bonds, and real estate. This facilitates tilting towards U.S. assets for U.S. investors. In column 1 above I estimate the breakout based upon recent data, which indicates that U.S. stocks and real estate are about 50% and U.S. bonds about 65% of the global totals. The second adjustment has to do with the DLS estimate of the value of global real estate. Their figure of $3.7 trillion (column 1) is untenably low compared to the figures provided by multiple other sources. Recent citations for the value of global commercial real estate (which excludes owner-occupied residential real estate) range from $13.6 trillion ( DTZ quoted in the Financial Times , 2015 ) to $26.6 trillion ( Prudential Real Estate, 2012 ) to $31.2 trillion ( Bank for International Settlements, 2011 ). In column 3 I use the lower end of the range, which increases the estimated value of global real estate from 4.4% of the global market portfolio to 14.6%. The third adjustment I make is to zero out the value of all government bonds in column 5. My rationale is that the size of the government bond market is artificially inflated by the fact that both issuers (governments) and some buyers (central banks) are motivated more by politics than by economics. Also, unlike corporate bonds, government bonds largely fund current consumption rather than true capital investment. Perhaps going to zero is an over-correction, but certainly some major adjustment is warranted. Using the DLS value for total government bonds in the original article (not shown above), I subtracted 65% from U.S. bonds and 35% from developed market bonds, leaving emerging market bonds and inflation-linked bonds unchanged. Column 6 in the table above will be the starting point for forming a set of smart neutral portfolios (that reflect “smart” adjustments to global market value weights). However, further adjustments need to be made to reflect 1) an appropriate level of home country bias for U.S. investors and 2) appropriate levels of portfolio risk for various levels of risk aversion on the part of investors. Unlike the MPT-based market capitalization weighted global market portfolio, there is no universally-recognized economic theory to guide the calibration of either home market bias or portfolio risk levels. However, target date funds from the three largest providers of such funds, Vanguard, Fidelity, and Schwab, provide logical reference points. Target Date Funds Most investors find it most comfortable to hold an asset mix that is similar to what they believe other investors hold. Behavioral finance has shown that many investors seek “the comfort of the herd.” Their instincts tell them that staying in the center of the herd is the safest option. Particularly for those who are looking after the assets of others and therefore do not share in the economics of their allocation decisions, minimizing “maverick risk” (the risk of being different and wrong) is usually the chosen path because that is the best way to appear prudent and burnish one’s investment career prospects. As Keynes observed, “worldly wisdom teaches that it is better for reputation to fail conventionally than to succeed unconventionally.” Individual investors often seek asset allocation guidance from authority figures that are perceived as experts, often in the form of asset allocation funds offered by recognized investment management companies. That is, they seek a “default option” when it comes to asset allocation. This is one reason for the enormous popularity of target date funds, lifestyle funds, and multi-asset funds in 401(k) plans. These funds are designed to guide the investor towards an appropriate default choice based upon easy, objective criteria such as expected retirement date and/or risk tolerance. For the most part, these funds focus on liquid publicly traded asset classes and are no doubt heavily influenced by what will make investors comfortable. Consequently, they reflect conventional wisdom and consensus thinking with respect to asset allocation. (click to enlarge) The table above presents three types of target date funds for three different investment horizons. “Income” funds would be for those who are currently in retirement, and who presumably therefore prefer a conservative portfolio. “Target 2020” funds would be for those expected to retire in 2020, with a moderate amount of portfolio risk. “Target 2040” funds are for younger workers who are assumed to have more aggressive risk preferences. While there are differences among the three fund providers, there is a high degree of consensus. As the target date lengthens, stock allocations increase and bond allocations decrease markedly. This is not at all surprising. Perhaps more surprising is the strong consensus regarding home market bias. In all cases, U.S. stocks are preferred to international stocks by more than 2 to 1. The home market bias is even stronger for U.S. bonds, which are preferred over international bonds by more than 4 to 1. Fidelity is somewhat of an outlier with extremely low international bond allocations, preferring an allocation to commodities instead. The fund companies are also differentiated with respect to their attitude towards short-term funds. Smart Neutral Portfolios The purpose of this paper is to put forth a set of neutral portfolios for the long-term (although they will require rebalancing and updating from time to time). They are “smart” neutral portfolios only in the sense that they go beyond the simple capitalization-weighted global market portfolio by making a few adjustments that I believe are sensible, as described above. A final set of smart neutral portfolios, conservative/short horizon – column (3), moderate/medium horizon – column (5), and aggressive/long horizon – column (7) are shown in the table below. (click to enlarge) In selecting the weights for the three smart neutral portfolios, I attempted to balance between the adjusted DLS global portfolio weights shown in column (1) and the averages for the corresponding target date funds. In general, I believe that the smart neutral portfolios are similar in spirit to the corresponding target date funds, but are somewhat better diversified, and as such, should provide a slightly more attractive return/risk tradeoff over the long-term. Clearly, the allocation percentages assigned to each asset class are round numbers. There is no decimal point accuracy implied. Investors should deviate from these weights according to their own preferences and circumstances. Over time, actual portfolio weights will drift away from their initial weights because of divergent performance among the asset classes. Investors may want to rebalance back toward initial weights based upon a time schedule and/or the degree of deviation between initial and actual weights. It may be advisable to review the weights at each year-end, particularly in taxable accounts, which may give rise to the opportunity to harvest losses for tax purposes. (That is, selling a fund to realize a loss and reinvesting in another similar fund.) The table below illustrates how the smart neutral portfolios could be implemented using Vanguard ETFs for the core stock, bond, and real estate allocations. Vanguard tends to have the lowest expense ratios of any ETF provider, as well as among the lowest bid-ask spreads, making theirs the among the least expensive ETFs to both own and to trade. (I have no relationship with Vanguard and receive no compensation from them. I am merely a fan. Substitute funds can be found from other fund companies. Similarly, I have no relationship with and do not receive compensation from the providers of the non-core funds I have selected below.) (click to enlarge) Individual investors with both IRAs and taxable portfolios will want to put the highest turnover and highest yielding ETFs into their IRAs in order to reduce taxes. Some investors may prefer to use “smart beta” funds for the core stock, bond, and real estate allocations listed above. The term smart beta is used to describe passively managed funds that are constructed using algorithms other than market capitalization weighting. Often these smart beta funds are tilted towards one or more fundamental factors, such as yield, volatility, momentum, or various measures of value such as earnings, book value, assets, or cash flow. Critics of smart beta point out that any weighting methodology other than market capitalization amounts to an active bet relative to market cap, and that the higher turnover and higher fund expense ratios of smart beta funds may negate any benefit for investors. I am a proponent of carefully selected smart beta funds, particularly those associated with various forms of momentum and value. However, I try to tilt towards particular factors and away from market cap weighting only when I believe that the reward/risk ratio is particularly favorable. I use a rather complicated process to make these decisions, and I charge my clients a fee. For purposes of this paper, however, I have opted to stick with capitalization-weighted core funds more appropriate for the do-it-yourself investor. Disclosure: I am/we are long VNQ, USCI, JNK, QAI, PSP. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article. Additional disclosure: My long and short positions change frequently, so I make no assurances about my future positions, long or short. The information contained in this article has been prepared with reasonable care using sources that are assumed to be reliable, but I make no representation or warranty regarding accuracy. This article is provided for informational purposes only and is not intended to constitute legal, tax, securities, or investment advice. You should discuss your individual legal, tax, and investment situation with professional advisors.

Frontier Markets Index Issues: How Flawed Index Construction Is Distorting Perceptions Of The Asset Class

Summary A common complaint heard from Frontier Markets investment managers is the poor quality of the major indices that are designed to track Frontier Markets equities. The primary underlying cause of the problem has been, and continues to be, the use of market capitalization as the construction weighting methodology. This can contribute to lopsided geographic and sector weightings, which distort the risk and return characteristics of the equity market segment being considered. This article explores the nuances and flaws of two of the most prominent Frontier Markets indices, the MSCI Frontier Markets Index and the S&P Frontier Broad Market Index. It details the uneven geographic and sector concentrations found in these indices, root causes of these imbalances, as well as the implications such index construction has on return and risk. Frontier Markets Index Issues (click to enlarge) How Flawed Index Construction is Distorting Perceptions of the Asset Class Sean Wilson, CFA Brent Clayton, CFA Ha Ta A common complaint heard from Frontier Markets investment managers is the poor quality of the major indices that are designed to track Frontier Markets equities. Poor index construction is not a new issue for the global investment community. The primary underlying cause of the problem has been, and continues to be, the use of market capitalization as the construction weighting methodology (some indices use free-float adjusted market capitalization weighting methodologies, which suffer from the same issues). This can contribute to lopsided geographic and sector weightings, which distort the risk and return characteristics of the equity market segment being considered. Frontier Market indices suffer from additional weaknesses due to varying degrees of capital market development in constituent countries, which can magnify the distortions caused by market capitalization-based weighting methodologies. As Frontier Markets indices are used to formulate asset allocators’ return and risk expectations for the asset class and as benchmarks to measure and evaluate Frontier Markets investment managers, it is important that the nuances and flaws of these indices are identified and understood. D é j à Vu All Over Again … Over the past century, indices have risen in importance from rough barometers of equity market performance to structural components of passive investment strategies with allocations worth hundreds of billions of dollars. However, some of the most prominent indices have been distorted by the common practice of employing market capitalization to determine the weight of their respective constituents. With this approach, the larger a company’s market capitalization, the larger its weighting in the index will be. This approach is particularly sensitive to distortions from market bubbles because it exaggerates the weightings of those areas in the index which have been inflated. One of the most extreme examples of this occurred in the late 1980s and early 1990s in the MSCI EAFE Index, then the most popular benchmark for international equities. Japan grew from approximately 10% of the index in 1970 to over 60% of the index by the late 1980s. Investors in the US market saw a similar phenomenon appear in the S&P 500 when the technology sector grew six-fold to over a 30% weighting during the tech bubble at the turn of the century. Both events created indices that were less diversified and more precarious with concentrations in areas of the market that were most overvalued. Investment managers benchmarked to these indices faced a binary decision with respect to their weighting in these extreme concentrations, putting commonsense portfolio diversification at odds with the business risk of deviating substantially from the primary measuring stick of their performance. An investment manager’s singular call on Japan or the technology sector often, for better or worse, became the primary determinant of fund performance. With the retreat of the Japanese stock market and the bursting of the technology bubble, the distortions dissipated, but the underlying methodology issues remained. Today, Frontier Markets indices suffer from a lack of diversification with historically high concentrations in a few countries and an abnormally large weighting in the financials sector. This can be seen in the following charts of the historical concentrations of the two most prominent Frontier Markets indices, the MSCI Frontier Markets Index (“MSCI FM Index”) and the S&P Frontier Broad Market Index (“S&P Frontier BMI”): Chart 1: (click to enlarge) Source: MSCI Barra, S&P Dow Jones Indices On August 31st, 2008, the eve of the collapse of Lehman Brothers and the ensuing Global Financial Crisis, the MSCI FM Index and the S&P Frontier BMI held a whopping 65% and 58%, respectively, in the financials sector. Likewise, two countries, Kuwait and the United Arab Emirates, together accounted for 51% and 53% of the MSCI FM Index and the S&P Frontier BMI, respectively. One single country, Kuwait, with a population and land mass that are approximately one third and three fifths that of Belgium respectively, accounted for 35% of the MSCI FM Index and 39% of the S&P Frontier BMI. These concentrations are slightly less disproportional today, but there remains a roughly 50% concentration in the financials sector in both indices and 38% and 32% weightings in the top two countries of each, respectively. As discussed further below, the ramifications of such uneven weightings are significant. The root causes of such lopsided concentrations are twofold. First, a market capitalization-based weighting methodology makes these indices susceptible to market bubbles, which reward stocks and markets that go up with greater and greater index weights. Second, differences in development stages among countries can skew index sector weightings. Financial institutions are generally first to list on nascent stock exchanges. Banks are the foundation of any economy and are relatively more established than other industries in Frontier economies. They have business models that rely on shareholder funding due to international regulatory requirements, so it is not surprising that Frontier Markets indices have an overly large weighting to the financials sector. In addition, more developed Frontier Markets with large index weightings such as Kuwait that are held back from being upgraded to “Emerging Markets” status for technical reasons (foreign ownership restrictions, liquidity and size requirements) can skew overall index exposures due to the idiosyncratic nature of their underlying stock markets (e.g. a disproportionately large publicly-listed banking industry, a lack of energy and materials sector listings due to state ownership, a small consumer sector due to a smaller population). These two issues together serve to magnify the distortions in sector and country weightings. Implications for Return Expectations in Frontier Markets Analyzing historical returns of indices is a logical starting point for investors wishing to understand an asset class. Typically, historical returns are used as guideposts for setting investor expectations about potential future returns. With Frontier Markets, however, the lopsided concentrations in certain countries and the financials sector have dominated the historical performance of these indices and continue to mask the true underlying diversity of opportunities available in the over 50 countries with liquid Frontier Markets stocks. An argument sometimes voiced against allocating to Frontier Markets is the lower relative performance of Frontier Markets compared to traditional Emerging Markets following the Global Financial Crisis. Looking at the MSCI indices in Chart 2, while Emerging Markets appear to have quickly snapped back, Frontier Markets appear to have languished for several years and only recently have begun to experience a modest recovery. As of May 31st, 2015, the MSCI FM Index was still more than 18% below its August 31st, 2008 pre-Lehman value while the MSCI Emerging Markets Index was up 23%. Chart 2: (click to enlarge) Source: Bloomberg Looking at the three largest country weightings in the MSCI FM Index on August 31st, 2008 (collectively representing 66% of the index), however, reveals how greatly these index concentrations can influence index performance. Chart 3: (click to enlarge) Source: Bloomberg The MSCI Kuwait Index (Kuwait was 35% of the MSCI FM Index in August 2008) has, in fact, languished since the Global Financial Crisis. Plagued by low growth, high valuations, regional instability with the Arab Spring, and political gridlock domestically, Kuwait has not been a hallmark of the investment case for Frontier Markets in recent years. It remains 45% below its pre-crisis value. The United Arab Emirates market (16% of the index in August 2008) also languished for several years. However, the economy and market began a recovery in 2012, which shot the MSCI UAE Index up 276% from the end of 2011 to the country’s exit from the MSCI FM Index at the end of May 2014. Viewing the broader index’s performance from this perspective suggests that the tail may be wagging the dog much more than a superficial view would suggest. Trying to estimate an expected return for the entire asset class based on the historical returns of such a lopsided index is largely an analysis of its largest three country components – one of which is no longer even classified as a Frontier Market! While the demographic-led growth potential of these early-stage markets is one of the primary allures of Frontier Markets investing, these concentrations mask that case. The underlying drivers of Frontier Market index returns have not necessarily been the consumption growth stories that compel investors into the asset class. Take, for example, the case of Kuwait and Bangladesh as shown in Table 1: Table 1: Country Kuwait Bangladesh Difference MSCI FM Index Weighting 22.2% 2.4% 19.7% S&P Frontier BMI Weighting 17.4% 3.7% 13.7% Market Cap of Local Exchange (USD bn) 94 34 60 3M Average Traded Value (USD mm) 55 57 -1 Market Cap to GDP % 52.5% 18.0% 34.5% Number of Liquid Listed Companies 76 92 -16 GDP (USD bn) 179 187 -7 GDP Per Capita 44,844 1,179 43,665 Population (NYSE: MM ) 4 158 -154 Source: IMF World Economic Outlook, Bloomberg. Economic data from the IMF is for calendar year 2014. Market data is as of May 31st, 2015. “Liquid listed companies” is defined as locally-listed stocks with a 3-month average dauly traded value over $100,000 and median daily traded value over $25,000. Kuwait enjoys a 14-20% higher weighting in the MSCI FM Index and the S&P Frontier BMI than Bangladesh. Both markets have similar total GDP, a similar number of liquid listed stocks and similar market liquidity. Which of these two markets, however, appears to have more room for future growth and development? Bangladesh stands out with its massive population, low per capita GDP, and a lower market capitalization to GDP ratio. While these metrics simplify the nuanced growth stories for both countries, it is our view that Bangladesh has far more desirable “Frontier Markets” characteristics than does Kuwait. Nonetheless, the returns of the MSCI FM Index have been far more influenced by underlying drivers of the Kuwaiti market than those of the Bangladeshi market due to the index’s market capitalization-based weighting methodology. The returns of Frontier Markets equity indices are also affected by the annual reclassification of countries by market development status. As countries develop, they are reclassified as Emerging Markets, and as new Frontier stock markets open, they can attain “Frontier Markets” status. Countries can also be “demoted” from Emerging to Frontier Markets status, as was the case in MSCI FM Index with Morocco (2013), Argentina (2009), and Jordan (2008). (Argentina is also in the S&P Frontier BMI and currently accounts for 15% of the index. Astonishingly, unlike the MSCI FM Index, the S&P Frontier BMI includes local Argentinian shares that are impractical for foreigners to own due to capital controls.) Since its launch on December 18th, 2007, the MSCI FM Index has seen eight new countries join and three exit the index. The effects of country reclassifications on Frontier Markets index returns are most pronounced when countries are upgraded to “Emerging Markets” status. This can most recently be seen during the time period between MSCI’s June 10th, 2013 announcement that the UAE and Qatar would be promoted to its Emerging Market index effective June 1, 2014 and their exit, one year later, from its Frontier Markets index. At the time of MSCI’s announcement, both countries collectively accounted for almost one third of the entire MSCI FM Index. During this 12-month time period, the MSCI UAE Index and the MSCI Qatar Index rose 97% and 55%, respectively, before declining 24% and 22%, respectively, during the month of June 2014. As a result, the MSCI FM Index was up 20% during the first six months of 2014 with the UAE and Qatar accounting for a staggering 72% of that total return according to a recent report by FIS Group. An analysis of the historical returns of an index that has changed its composition so drastically and is constructed without diversification considerations masks the underlying opportunities in Frontier Markets and is a dangerous starting point for extrapolating future returns. Pick an Index any Index … To demonstrate how returns can vary depending upon the index and the weighting methodology it employs, we have constructed four custom indices using the same constituents as the S&P Frontier BMI (see Table 2). We also show the MSCI FM Index, which uses a different country universe than the S&P Frontier BMI. However, because it is less diversified with only 127 stock constituents versus 579 in the S&P Frontier BMI, the S&P Frontier BMI constituents were chosen to construct the custom indices. The equal-weighted index shown is derived by assigning each constituent of the S&P Frontier BMI an equal weight in the index. We also weighted the countries by population and by total GDP. For these two indices, we weighted the companies within each country by market capitalization. Lastly, we weighted each company by its size using annual sales instead of market capitalization. The point of this exercise is not to promote one Frontier Markets index over another since most have large concentrations, as Table 3 shows, but rather to demonstrate the variability of returns from reasonable indices constructed from the same constituents (excluding, of course, the MSCI FM Index, which has its own constituent universe). Table 2: Source: MSCI Barra, S&P Dow Jones, Business Monitor International, Bloomberg, LR Global Table 3: Source: MSCI Barra, S&P Dow Jones, Business Monitor International, Bloomberg, LR Global As Table 2 shows, yearly comparisons between the indices vary greatly with the biggest difference between the highest and lowest annual return of 24% occurring in 2009, where a sales-weighted index outperformed the MSCI FM Index by the largest amount. Likewise, the boost the MSCI index received from the removal of UAE and Qatar in 2014 can be seen in its outperformance in 2014 (The S&P Frontier BMI also removed these two countries in 2014, but not until September after both markets had fallen from their peaks at the end of May. Other weighting differences also influenced the variant returns). As the table shows, while there is a broad range of historical returns from which an investor can choose to help formulate future return expectations, each index comes with different biases and shortcomings. In addition, given the limited amount of historical data (under a decade of “live” index results), it is hard to argue that any of these indices can be used to anchor future return expectations (S&P Frontier BMI inception is 10/31/2008 and the MSCI Frontier Markets Index inception was on 12/18/2007). Implications for Manager Evaluation Flawed indices also obfuscate manager evaluation when used as benchmarks. For example, it is common for investors to separate an investment manager’s return attribution between stock selection and allocation versus the benchmark. This attribution analysis is an attempt to better understand the source of the manager’s returns and validate the consistency of the manager’s professed style. If returns are mostly coming from geographic and/or sector allocation, then a top-down style of investing is assumed. If returns are being generated from individual stock selection, a bottom-up style is inferred. In the case of Frontier Markets indices where there is a huge weight to financials, however, it is highly likely that Frontier Markets managers will never be overweight this sector and will most likely underweight financials in the interest of common sense diversification. Any underweight in one sector by definition implies an overweight in another sector or sectors. Does this mean the Frontier Markets manager is making top down strategic decisions to sector allocation or simply employing common sense diversification? An all too familiar binary decision is forced upon managers with regard to how closely to match the concentrated index exposures. Implications for Risk Expectations in Frontier Markets Just as return expectations in Frontier Markets are clouded by the flawed Frontier Markets indices, so too are the risk expectations for the asset class. With the birth of Modern Portfolio Theory in 1952 (Markowitz), investment risk became defined as the standard deviation, or volatility, of returns. If the historical returns are sampled from a flawed index such as one of the major Frontier Markets indices, this risk measure is also distorted. In a previous LR Global white paper (“Risk in Frontier Markets: Overcoming the Misperceptions.” May 2014) we examined the riskiness of Frontier Markets. Using the Modern Portfolio Theory definition of volatility, we analyzed Frontier Markets risk by calculating the standard deviation of individual Frontier Market country returns. Using ten years of rolling three-year weekly US dollar returns, we found that the median standard deviation of the Frontier Market country returns were consistently less volatile than Emerging Markets country returns and surprisingly less volatile than Developed Markets in six out of ten years (see Chart 4). Chart 4: Source: Sean Wilson, Brent Clayton, & Ha Ta (2014). “Risk in Frontier Markets: Overcoming the Misperceptions.” LR Global White Paper. However, it is also worth considering a different mindset of risk that does not assume investors are perfectly rational and that markets are efficient, as Modern Portfolio Theory requires. The booms and busts of individual Frontier Markets, the relative lack of institutional investors and research coverage as well as the opaque nature of these immature markets suggest that Frontier Markets are inefficient. Thus, a different notion of risk may be needed. Warren Buffet, a disciple of Benjamin Graham, explained why volatility is a poor measure of investment risk in a 1994 Berkshire Hathaway Annual Meeting : “For owners of a business – and that’s the way we think of shareholders – the academics’ definition of risk is far off the mark, so much so that it produces absurdities. For example, under beta-based theory, a stock that has dropped very sharply compared to the market – as had Washington Post when we bought it in 1973 – becomes ‘riskier’ at the lower price than it was at the higher price. Would that description have then made any sense to someone who was offered the entire company at a vastly-reduced price?” 15 In Frontier Markets, we also see volatility in individual markets and sectors as a potential source of opportunity and not risk. Fortunately, there are over 50 countries that comprise the broader Frontier Markets universe, and some of the biggest opportunities we have identified and exploited have been the result of extreme volatility in one or more countries. Would the Real ” Benchmark Risk ” Please Stand Up Thanks again to Modern Portfolio Theory, a new sub-category of risk was born. “Benchmark risk,” or, as it is more commonly known, “active risk” measures the amount of “risk” an investment manager takes by constructing a portfolio that is different than the benchmark it seeks to outperform. Studies conducted by academics and consultants over the past five years show that active managers who deviate significantly from their benchmarks have outperformed their more benchmark-like peers. According to researchers at Yale University, managers with an Active Share, one measure of active risk, of greater than 80% beat their benchmarks by 2.0% to 2.7% before fees. If, however, the benchmark is not diversified properly and constructed sub-optimally as current Frontier Markets indices are, then benchmark risk should really be literally thought of as just that, benchmark risk . In an asset class often assumed to be highly risky and not for the faint of heart, one might assume that managers should seek to minimize active risk. In light of these studies and the aforementioned flaws of Frontier Markets benchmarks, however, Frontier Markets managers should really be encouraged to seek out active risk. Conclusion Since Farida Khambata of the International Finance Corporation coined the term “Frontier Markets” in 1992, Frontier Markets have grown into a market segment distinct from traditional Emerging Markets with growing interest from investors and asset allocators. Much of this interest has occurred only over the past decade, which has accounted for the lion’s share of asset growth. It is important that investors interested in Frontier Markets understand the shortcomings of the major indices when considering an allocation or monitoring an existing allocation. In a subsequent paper, an alternative solution to existing Frontier Markets indices that will provide a better tool for monitoring and understanding the asset class will be discussed. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article.