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A Walk In The Woods: Evaluating Investment Strategies For The Long Haul

A Walk in the Woods , the book by Bill Bryson and movie starring Robert Redford and Nick Nolte, is a humorous yet insightful account of two novice hikers who set out to through-hike the Appalachian Trail. The endeavor parallels that facing many investors: setting out on what seems an almost implausibly long adventure with very little first hand knowledge of the challenges they are likely to encounter along the way. The parallels between hiking and investing extend further. In both cases, the participants receive all kinds of advice and are sold all sorts of things that turn out being either of dubious value or entirely counterproductive. Two guidelines stand out that apply as much to investing as to hiking. One is that fees are like gear in your pack – too much stuff that isn’t very useful can really slow you down, but some of that gear is really useful. Another is that the environment changes over time – which implies that different gear is appropriate at different times. Investment strategy is an extremely important decision for investors. The three main approaches of active, passive, and smart beta (also known as factor investing) each has advantages and a deserved role for certain situations. Too often, however, the pros and cons of each are overly simplified and applied dogmatically with little consideration given how conditions might change over time. While active management as a whole has performed poorly, that poor performance has not been universal as many assume. Research over the last several years reveals that the underperformance is not so much a structural issue with active investing as it is an endemic problem with the industry. It shouldn’t be surprising that active portfolios that are fairly concentrated, that charge reasonable fees, and that focus on inefficiently priced asset classes tend to perform better. In other words, active management is far from a futile exercise, but it does depend on the judicious use of “gear”. Critics who are completely dismissive of active management miss the reality that there are a number of excellent managers. Indeed, it defies common sense that given examples of exceptionalism in every realm of human endeavor, that there would be none in the field of active management. It is right to be skeptical, but not to be dismissive. A big part of the challenge for active investing is the cost/benefit tradeoff of its fees and this is exactly why passive investing has been such an attractive alternative. Indeed, passive investing today provides a far better way for people to gain exposure to the market than the main option available thirty years ago of buying a couple of individual stocks. No doubt, passive investing has been a useful addition to the amalgam of investment offerings. That said, the lower fees of passive investing relative to active do not provide an apples to apples comparison and are understated in an important sense. More specifically, Research Affiliates notes that, “Collectively, an active manager’s very important role is to increase market efficiency by identifying mispricing.” In doing so, active management actually provides a socially useful service in the form of price discovery by effectively making sure that market prices are fairly accurate. Without the efforts of active investors, there would be no natural forces to prevent prices deviating wildly from intrinsic values. As things currently stand, the costs of the service of price discovery accrue solely to active management clients, but the benefits accrue to passive management clients. Kenneth French (2008) studied these costs and found, “From society’s perspective, the average annual cost of price discovery is .67% of the total value of domestic equity.” This non-trivial cost accounts for a big chunk of the difference between active and passive fees. Indeed, it’s been a great deal for passive investors: it has been like having your hiking companion carry the tent, all of the food, and any shared gear for both of you, with no reciprocity. In addition to the traditional approaches of active and passive investing, a “third way” approach, often referred to as smart beta (factor investing), has become increasingly popular. The smart beta approach attempts to capture the best of both the active and passive approaches by facilitating low costs through automated selection processes and excess returns by leveraging finance theory and research. One well known “factor”, for example, is “value” and a recent favorite is “high quality” (usually determined by gross profitability). Smart beta is a legitimate concept and there is good reason to expect future developments in this area. Two threads of theory are relevant here. One was developed over twenty years ago by Kenneth French and Eugene Fama. Their research showed that returns could largely be described by the three factors of beta, size, and value in what is commonly referred to as the ” three factor model “. The implication for investors is that higher returns can be realized by increasing exposure to smaller stocks and to cheaper stocks. The economics of this quantitative approach have improved substantially as the costs of commissions and computing power have fallen relative to the costs active managers incur for doing fundamental research. Another thread of research pioneered by Research Affiliates argues that many indexes can be improved by weighting their constituents by variables other than that of market capitalization. Cap weighted indexes (such as the S&P 500), the argument goes, overweight the most overpriced stocks and underweight the most underpriced stocks, and therefore make systematic valuation errors. Their research shows that simply making random errors, as opposed to systematic ones, improves performance by about 2% per year. While this body of research certainly provides a valid foundation for some kind of smart beta (factor investing) approach, the investment industry has outdone itself the last few years by unveiling an enormous array of factor investing approaches to an investment audience ravenous for low fees and better performance. The recent paper put out by Research Affiliates entitled, “How can ‘smart beta’ go horribly wrong?”, provides some excellent research to help evaluate the recent proliferation of factors. Perhaps the single most important message from the paper is that the impressive results attributed to many of the new factors reveals more about the industry’s willingness and ability to mine data than it does about important new factors. More specifically, the authors found that, “factor returns, net of changes in valuation levels, are much lower than recent performance suggests.” In the case of high-profit companies, for example, they found, “When we subtract the returns associated with the rising popularity, and therefore rising relative valuation… the gross profitability factor loses more than 90% of its historical efficacy, delivering 10-year performance net of valuation change of just 0.39%.” In other words, “Many of the most popular new factors and strategies have succeeded solely because they have become more and more expensive.” While evaluating the costs and benefits of the three main investment strategies is a formidable task in its own right, investors in it for the long haul shouldn’t stop there. As the factor evidence highlights, things change over time and this absolutely holds true for the relative merits of investment strategies. John Authers highlights this point well in the Financial Times : “Using data from the past 25 years, Mr. Jones found a strong positive correlation between recent performance and buying decisions, in equities and bonds, for all of the classes of asset owners he looked at.” In other words, at the group level, everyone is a trend follower! In an important sense, this insight is frightening, but it also provides a useful warning: investment strategies may be just as subject to “inefficient pricing” as their underlying assets. It’s worth considering how such inefficiencies might get resolved. In the case of passive strategies, investors have been enjoying the benefits of efficient price discovery without having to pay for it. Insofar as the free ride persists, there is every reason to believe that investors will continue to jump on the passive bandwagon. The consequence of such trends will be to erode, over time, the ability of active investors to keep market prices fairly efficient. As this continues to happen, it is fair to expect that pricing efficiency will decline to a point where sufficient opportunities emerge for a smaller group of active investors to earn attractive returns over their costs, and that such excess returns will come at the expense of passive investors. In short, the free ride for passive investors may well be a one time gig. Smart beta too has had a very good run over the last few years but much of that appears to be temporal as well. As Research Affiliates notes, “We find that the efficacy of a factor-based strategy or a factor tilt (included by many under the smart beta umbrella) is strongly linked to changes in relative valuation, that is, whether the strategy is in vogue (becoming more richly priced) or out of favor (becoming cheaper).” Thus, since “Value-add can be structural, and thus reliably repeatable, or situational – a product of rising valuations-likely neither sustainable nor repeatable,” for many recent factors, the evidence points to situational and unsustainable. As a result, the authors conclude that “it’s reasonably likely a smart beta crash will be a consequence of the soaring popularity of factor-tilt strategies.” The Research Affiliates authors don’t uniformly disparage factors, however. Rather, they recognize that, “For the past eight years, value investing has been a disaster with the Russell 1000 Value Index underperforming the S&P 500 by 1.6% a year, and the Fama-French value factor in large-cap stocks returning -4.8% annually over the same period.” Largely as a result of that poor past performance, they find that the old Fama-French factor of value is currently “in its cheapest decile in history,” and therefore an attractive factor. Finally, the prospects for active management are mixed. On one hand, there are far too many active managers and far too many that charge fees greater than the benefits received. As a result, it is reasonable to expect the numbers to shrink. It is distinctly possible, and perhaps even likely, that as the active herd gets culled, so too will ever increasing opportunities emerge for efficient and focused active managers that aren’t “carrying too much weight” to take advantage of the overshoot of passive and smart beta strategies. A general lesson from all of this is that since the relative attractiveness of different investment strategies changes over time, it doesn’t make sense to take a dogmatic view towards them. Combined with the reality that each strategy has its own particular strengths in certain situations, it also makes little sense to think of any one strategy as being mutually exclusive of the others. The bottom line is that it makes the most sense to remain flexible. Further, there are two more specific lessons to consider in selecting investment strategies. One is to make sure that you get a good return from the fees that you pay, i.e. that you get a good “bang for the buck”. The other is that it makes sense to monitor changes in the environment that may warrant a different approach. Some of what passes as an “advantage” to one investment strategy in one situation may very well end up being a transient factor that can hurt you in the future. Your journey will be easier if you have the right “gear” (in the form of the right investment strategy) for each environment. Click to enlarge Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. 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.

How To Best Gauge Your Risk Tolerance

By Larry Cao, CFA Understanding an investor’s risk tolerance is arguably the single most important issue for an investor and their financial adviser to consider. And yet it never seems to get the attention it deserves. The Definition Risk tolerance refers to your ability and willingness to take on investment risk. Specifically, it indicates how big of a loss you can take in the market without changing course. We are all human and abandon ship when things go wrong. (And that’s why we are not fully invested in equities even when it comes to our long-term investments.) Risk tolerance is the threshold at which you’ll head for the exits. It’s important to measure your risk tolerance accurately. Otherwise all your financial plans are just sand castles and won’t withstand the test of time and market volatility. “I did not really understand my true risk tolerance.” This is one of the painful facts many investors came to appreciate following the global financial crisis. Financial institutions often offer their wealth management clients a risk tolerance questionnaire as a way to gauge their risk appetite and capacity to withstand loss. Investors are typically asked anywhere from a few to multiple sets of questions on their investment horizon, their reaction to different levels of market volatility, and sometimes other factors, such as their education, that regulators or financial institutions may deem relevant. The Issue There are two problems with the current risk tolerance questionnaires and how they are administered. First, is the question of what motivates a financial institution to administer such a questionnaire. Far too often, the questionnaire is the product of internal (compliance) and regulatory considerations. Therefore, the questions may not have been designed to accurately measure your risk tolerance. Second, financial advisers, whether fee- or non-fee-based, are directly rewarded for persuading clients to trade or invest with them. Risk tolerance questionnaires are often treated as a hindrance to profit rather than a tool to gain a client’s trust. I think it’s for these reasons that the single most important question for accurately gauging investor’s risk tolerance often does not get asked. That question is: How often do you check your investment performance? The Solution How frequently you look at a Bloomberg Terminal, check your stock performance on a smartphone, or, in a more old fashioned way, call your broker actually matters quite a bit in understanding your risk tolerance. Run-of-the-mill questionnaires generally give ranges of upside and downside related to investment strategies, in dollar amounts or percentages, and ask which one you’d invest in. The horizon is generally assumed to be a year – that’s how often financial advisers typically meet with clients to discuss financial plans. And yet, what these ranges mean to an investor very much depends on how frequently they check the market. As a service to readers of CFA Institute Financial NewsBrief , we asked them that question. (To avoid ambiguity and guesswork, the question was phrased differently in the poll.) And below are their responses. When did you last check your investment performance? Click to enlarge About 41% of the 558 respondents actually checked their performance within 24 hours (including 7% who checked within the hour?!). Imagine the constant pounding they’ll get in a bear market. In fact, if you are part of this group, just think back to how you felt this January. Experience shows that this group is more likely to overstate their risk tolerance on questionnaires and, hence, are most vulnerable to market volatility when it actually hits. When I was a professional money manager, I belonged to this group. It’s kind of a responsibility that comes with the job. But it is just as hard for professional investors to stomach market turmoil as anyone else. As I recall, in the midst of the financial crisis in 2008, when I asked a portfolio manager from a different firm how morale was in the office, he said, “It is really quiet.” By the way, I am not saying all portfolio managers have to monitor their performance this closely. It depends on how your investment strategy works. For example, value strategies tend to require longer investment horizons, so it’s generally okay if a manager does not check portfolio performance every day. The largest group of our survey respondents (40%) check on their portfolios every month. For most investment strategies and most investors, I think that’s probably the optimum. Still, in terms of gauging one’s risk tolerance, that’s a frequency higher than implied in the risk tolerance questionnaire. So this group suffers from the same problem as those noted above. That adds up to about 80% of investors who are probably overestimating their risk tolerance. How frequently you make your investment decisions has direct impact on your risk tolerance. If you invest you own money, make sure you ask yourself that question. If you are a financial adviser, consider asking your clients that question today. Disclaimer: Please note that the content of this site should not be construed as investment advice, nor do the opinions expressed necessarily reflect the views of CFA Institute.

Are Momentum ETFs Delivering Momentum Returns?

We consider a popular momentum ETF and illustrate that its historical performance is almost entirely attributable to passive exposures to simple non-momentum factors , such as Market and Sectors. Investors may thus be able to achieve and even surpass the performance of popular momentum ETFs with transparent, passive, and potentially lower-cost portfolios of simpler funds. Attributing the Performance of Momentum ETFs to Simpler Factors We analyzed the iShares MSCI USA Momentum Factor ETF (NYSEARCA: MTUM ) using the AlphaBetaWorks Statistical Equity Risk Model – a proven tool for forecasting portfolio risk and performance . We estimated monthly positions from regulatory filings, retrieved positions’ factor ( systematic ) exposures , and aggregated these. This produced a series of monthly portfolio exposures to simple investable risk factors such as Market, Sector, and Size. The factor exposures at the end of Month 1 and factor returns during Month 2 are used to calculate factor returns during Month 2 and any residual (security-selection, idiosyncratic , stock-specific) returns un-attributable to factors. There are only two ways for a fund to deviate from a passive portfolio: residual returns un-attributable to factors and factor timing returns due to variation in factor exposures over time. We define and measure both components below. iShares MSCI USA Momentum Factor ETF – MTUM: Performance Attribution We used the iShares MSCI USA Momentum Factor ETF as an example of a practical implementation of a theoretical momentum portfolio. MTUM is a $1.1bil ETF that seeks to track an index of U.S. large- and mid-cap stocks with high momentum. The fund’s turnover, around 100% annually, is about half that of the theoretical momentum factor. iShares MSCI USA Momentum Factor ETF – MTUM: Factor Exposures The following factors are responsible for most of the historical returns and variance of MTUM: MSCI USA Momentum Factor ETF – MTUM: Significant Historical Factor Exposures Click to enlarge Source: abwinsights.com Latest Mean Min. Max. Market 88.44 84.12 65.46 96.03 Health 23.73 30.28 23.73 34.94 Consumer 74.02 32.53 13.10 74.06 Industrial 1.69 9.71 1.13 24.51 Size -10.47 -1.04 -11.09 7.67 Oil Price -2.90 -2.45 -4.94 -0.04 Technology 17.72 16.56 1.50 32.29 Value -4.86 -2.13 -8.00 5.20 Energy 0.00 1.86 0.00 4.12 Bond Index 6.51 1.08 -22.90 23.64 iShares MSCI USA Momentum Factor : Active Return To replicate MTUM with simple non-momentum factors, one can use a passive portfolio of these simple non-momentum factors with MTUM’s mean exposures as weights. This portfolio defined the Passive Return in the following chart. Active return, or αβReturn, is the performance in excess of this passive replicating portfolio. It is the active return due to residual stock performance and factor timing: MSCI USA Momentum Factor ETF – MTUM: Cumulative Passive and Active Returns Click to enlarge Source: abwinsights.com MTUM’s performance closely tracks the passive replicating portfolio. Pearson’s correlation between Total Return and Passive Return is 0.96. Consequently, 93% of the variance of month returns is attributable to passive factor exposures, primarily to Market and Sector factors. Once passive exposures to simpler factors have been removed, MTUM’s active return is negligible. Since MTUM’s launch, the cumulative return difference from such passive replicating portfolio has been approximately 1%: 2013 2014 2015 Total Total Return 16.73 14.62 8.50 45.18 Passive Return 16.06 16.48 4.55 41.34 αβReturn 1.11 -2.46 2.54 1.12 αReturn 3.91 0.05 0.29 4.27 βReturn -2.71 -2.52 2.23 -3.05 This active return can be further decomposed into security selection (αReturn) and factor timing (βReturn). These active return components generated low volatility, around 1% annually, mostly offsetting each other as illustrated below: iShares MSCI USA Momentum Factor ETF – MTUM: Active Return from Security Selection AlphaBetaWorks’ measure of residual security selection performance is αReturn – performance relative to a factor portfolio that matches the funds’ historical factor exposures. αReturn is the return a fund would have generated if markets had been flat. MTUM has generated approximately 4% cumulative αReturn, primarily in 2013, compared to roughly 1.5% decline for the average U.S. equity ETF: MSCI USA Momentum Factor ETF – MTUM: Cumulative Active Return from Security Selection Click to enlarge Source: abwinsights.com iShares MSCI USA Momentum Factor ETF – MTUM: Active Return from Factor Timing AlphaBetaWorks’ measure of factor timing performance is βReturn – performance due to variation in factor exposures. βReturn is the fund’s outperformance relative to a portfolio with the same mean, but constant, factor exposures as the fund. MTUM generates approximately -3% cumulative βReturn, compared to a roughly 1% decline for the average U.S. equity ETF: MSCI USA Momentum Factor ETF – MTUM: Cumulative Active Return from Factor Timing Click to enlarge Source: abwinsights.com These low active returns are consistent with our earlier findings that many “smart beta” funds are merely high-beta and offer no value over portfolios of conventional dumb-beta funds. It is thus vital to test any new resident of the Factor Zoo to determine whether they are merely exotic breeds of its more boring residents. Conclusion Theoretical, or academic, momentum portfolios are not directly investable. A popular momentum ETF, MSCI USA Momentum Factor , did not deviate significantly from a passive portfolio of simpler non-momentum factors. Investors may be able to achieve and surpass the performance of the popular momentum ETFs with transparent, passive, and potentially lower-cost portfolios of simpler index funds and ETFs. The information herein is not represented or warranted to be accurate, correct, complete or timely. Past performance is no guarantee of future results. Copyright © 2012-2016, ALphaBetaWorks, a division of Alpha Beta Analytics, LLC. All rights reserved. Content may not be republished without express written consent. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. 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.