Tag Archives: seeking

Alpha Wounds: Passive Management Is Not Passive

By Jason Voss, CFA Alpha wounds are decisions made by the investment industry that hurt active investment managers. It is my belief that there is still plenty of alpha left to be harvested by discerning research analysts and portfolio managers. So far, I have discussed the deleterious effects of managing to, rather than from, a benchmark ; poor evaluative methodologies by investment industry adjuncts; and the poor diversification of the human resources portfolio at active management houses. This month I point out a fact hiding in plain sight: Passive management is not passive. One of the tremendous and rarely discussed ironies in the active vs. passive debate is that passive management is thought of as the opposite of active management. That is, it is perceived as a ship set adrift in an ocean with no compass heading and no crew. Passengers are on board and left to fend for themselves. I politely disagree. Passive management is not blind, deaf, or dumb. In fact, for every index and for every fund or exchange-traded fund (ETF) designed to track it, human choice is involved. As I have discussed before in an entirely different context, choices are actions , that is, activity. That is, we are talking about active investing. To be fair, passive investing is not exactly “active” investing. It is really more like “less active” investing. Given a) the consistent inability of active managers to beat benchmarks, and b) the fact that passive investing actually involves active choices, maybe it makes sense to see what the indices are doing, right? . . . Right? Case Study: The S&P 500 Let’s consider one very famous index, the Standard & Poor’s 500. I hope it is indisputable that the S&P 500 is among the best-known indices and hence a proxy for stock market activity in the United States. Is an index fund or ETF that tracks the storied S&P 500 truly passive? Absolutely not. Many do not realize that a small committee at Standard & Poor’s oversees and makes decisions about the index. Specifically: “S&P Dow Jones U.S. indices are maintained by the U.S. Index Committee. All committee members are full-time professional members of S&P Dow Jones Indices’ staff. The committee meets monthly. At each meeting, the Index Committee reviews pending corporate actions that may affect index constituents, statistics comparing the composition of the indices to the market, companies that are being considered as candidates for addition to an index, and any significant market events. In addition, the Index Committee may revise index policy covering rules for selecting companies, treatment of dividends, share counts or other matters.” To me this sounds very similar to a description of the activities of an investment committee at an actively managed mutual fund. Yes, there is certainly a demure, passive tone. No doubt. But there are decisions being made here. Which brings me to my next point. Perhaps active managers would be wise to examine the nature of the decision criteria made by this committee in order to improve their own results. This is especially true if, like many funds, the S&P 500 is their benchmark. Put another way: What is this committee doing so incredibly right so as to best a majority of those competing against it? Here are the criteria that the US Index Committee consider: Market capitalization Liquidity Domicile Public float Sector classification Financial viability Treatment of IPOs A list of eligible securities Additionally, there are criteria for deleting an issue. Some of the above may seem simple on the face of things, but let’s drill a little deeper. The Hidden Story Inside Market Capitalization Market capitalization is indicative of some unique characteristics of a business. For example, a large market capitalization is likely the result of a highly successful business with in-demand products, well-established markets, a strong competitive position, that is professionally managed, well capitalized financially, and for which all of these things have been true over a long period of time. Heck, it is also more likely than not that the business pays its shareholders back with share buybacks, or – gasp! – dividends. In other words, large market capitalization is a natural outcome of running a successful business. The Remedy for the Alpha Wound: Could “active” managers also consider such criteria in conducting fundamental analysis? Could active managers actually roll up their sleeves and engage in some good old-fashioned fundamental analysis? Low Turnover Like most indices, the components of the S&P 500 do not change very frequently . A review of the historical data from 2002 through November 2015 shows 69 additions (and, hence, deletions) from the index. That works out to a turnover ratio of just 1.06% [(69 changes ÷ 13 years = 5.31 changes per year on average) ÷ 500]. Compare that with the average turnover ratio of 124.6% in the United States in 2012 (the last year for which data is available), and an average of the major global equity markets of 89%. Is there any possibility of actually understanding the companies in which you have placed your investors’ cash in these circumstances? Said differently, US investors have 117.5 times the turnover of the S&P 500. Given that most of the trading is likely in S&P 500 stocks, that the turnover of the index is so low, and that active managers have underperformed, does it seem like a possible self-inflicted alpha wound? In the most positive light, this is a trading desk enrichment program. The Remedy for the Alpha Wound: Could an “active” manager perform better by reducing its turnover? Diversification Another possible lesson to be learned from looking at indices is that each of them represents a diversified portfolio within a given context. For the record, I am personally against what I and many others call “deworsification”. Forthcoming research from C. Thomas Howard, CIO of Athena Investment Management, and a brokerage firm I cannot mention quite yet, entitled Why Most Equity Mutual Funds Underperform and How to Identify Those That Outperform, demonstrates that most fund managers are horribly diversified – as in overly so. The researchers estimate that for every one-decile increase, that over-diversification subtracts 13.5 basis points (bps). Also, they estimate that for every one-decile increase in closet-indexing, that performance is negatively affected by a whopping 31.6 bps. So as managers r-squared relative to their benchmark increases, performance decreases. It is important to remember that originally indices were created not as investment vehicles, but as a way of summarizing the performance of an entire market in one number. No one is likely to have originated the idea of investing in 500 companies. One benefit of being fully invested in each component of the S&P 500 is you end up buying every winner. But you also end up buying every loser. One simple strategy, and I am surprised that it is not deployed more frequently, is to buy the S&P 500 but to conduct fundamental analysis of its components and identify the handful of firms you believe have the highest probability of performing poorly. Then either exclude these from your index-like fund or short them. The Remedy for the Alpha Wound: Could it be that active managers are hurting alpha by over-diversifying and closet-indexing? “Passive” Investing Free Passes Passive investing gets three massive free passes. First, frequently risk-adjusted returns are calculated relative to the benchmark. This means that because benchmarks are both the numerator and the denominator in such calculations, their risk is always cancelled out. This implies that benchmarks have no risk. Clearly this is bogus. What is needed is a neutral way of evaluating risk to which both the benchmark and the active manager are compared. Second, benchmark returns are always gross of fees. Yet, if you read through the S&P Dow Jones report I referenced above, you get the sense that there is a large team making these decisions. What is the expense of creating and maintaining these indices? Also, the expense of buying and selling the securities from the benchmark is excluded. Yes, the turnover is low, but for a true apples-to-apples comparison, shouldn’t these be included? As a proxy, many investment industry adjuncts evaluate index funds tracking a particular benchmark in order to estimate these expenses. This is clearly fairer to active managers. The third and likely largest of the free passes handed to passive investors is the massive momentum effects of their “buy lists.” Indices are effectively “buy” lists. For the larger indices this means that there are huge momentum effects embedded into the strategies. So passive investors benefit considerably from non-fundamental factors when their performance is evaluated. To my knowledge, there is no agreed-upon method for how to back these factors out. In conclusion, passive investing is not truly passive. It is more like less active management. Looked at in this way, it makes obvious certain innate characteristics of smart investing that “passive” investors take advantage of. Maybe active managers could learn a thing or two from these strategies. 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.

November Update – ETFReplay.com Portfolio

The ETFReplay.com Portfolio holdings have been updated for November 2015. I previously detailed here and here how an investor can use ETFReplay.com to screen for best-performing ETFs based on momentum and volatility. The portfolio begins with a static basket of 14 ETFs. These 14 ETFs are ranked by 6-month total returns (weighted 40%), 3-month total returns (weighted 30%), and 3-month price volatility (weighted 30%). The top 4 are purchased at the beginning of each month. When a holding drops out of the top 5 ETFs, it will be sold and replaced with the next highest ranked ETF. The 14 ETFs are listed below: Symbol Name RWX SPDR DJ International Real Estate PCY PowerShares Emerging Markets Bond WIP SPDR Int’l Govt. Infl.-Protect. Bond EFA iShares MSCI EAFE HYG iShares iBoxx High-Yield Corp. Bond EEM iShares MSCI Emerging Markets LQD iShares iBoxx Invest.-Grade Bond VNQ Vanguard MSCI U.S. REIT TIP iShares Barclays TIPS VTI Vanguard MSCI Total U.S. Stock Market DBC PowerShares DB Commodity Index GLD SPDR Gold Shares TLT iShares Barclays Long-Term Treasury SHY iShares Barclays 1-3 Year Treasury Bond Fund In addition, ETFs must be ranked above the cash-like ETF (NYSEARCA: SHY ) in order to be included in the portfolio, similar to the absolute momentum strategy I profiled here . This modification could help reduce drawdowns during periods of high volatility and/or negative market conditions (see 2008-2009), but it could also reduce total returns by allocating to cash in lieu of an asset class. The cash filter is in effect this month, the same as the previous four months. SHY is the highest rated ETF in the 6/3/3 system. Therefore, it will continue to be the sole holding in the portfolio. The top 5 ranked ETFs based on the 6/3/3 system as of 10/30/15 are below: 6mo/3mo/3mo SHY Barclays Low Duration Treasury (2-year) PCY PowerShares Emerging Markets Bond LQD iShares iBoxx Invest.-Grade Bond VNQ Vanguard MSCI U.S. REIT TLT iShares Barclays Long-Term Treasury In 2014, I introduced a pure momentum system, which ranks the same basket of 14 ETFs based solely on 6-month price momentum. There is no cash filter in the pure momentum system, volatility ranking, or requirement to limit turnover – the top 4 ETFs based on price momentum are purchased each month. The portfolio and rankings are posted on the same spreadsheet as the 6/3/3 strategy. The top 4 six-month momentum ETFs are below: 6-month Momentum VNQ Vanguard MSCI U.S. REIT TLT iShares Barclays Long-Term Treasury SHY Barclays Low Duration Treasury (2-year) PCY PowerShares Emerging Markets Bond TIP, a holding for 2 months, will be sold for a loss of -.56%. LQD, a holding for 1 month, will be sold for a gain of .28%. The proceeds will be used to purchase VNQ and TLT. The updated holdings for the pure momentum portfolio are below: Position Shares Purchase Price Purchase Date PCY 85 27.65 8/31/2015 SHY 29 84.86 7/31/2015 VNQ 30 79.89 10/30/2015 TLT 19 122.74 10/30/2015 Disclosure: None.

VFINX/VBLTX Power-Up: Replace VFINX With UPRO Or SPXL

Summary I recently wrote about VFINX/VBLTX portfolios, and how to choose an asset allocation to maximize returns for the level of volatility you can tolerate. Swapping VFINX for a leveraged S&P 500 ETF makes the maximization game much more profitable. You can achieve a greater expected return for any particular level of volatility. You lose the benefit of completely free trades in a Vanguard account, but the improvement in expected returns is definitely worth it. Mathematically, using a leveraged version of VFINX allows you to increase your allocation to VBLTX, capturing a greater percentage of its alpha. I believe UPRO/VBLTX (or SPXL/VBLTX) can be an excellent core portfolio for many investors. VFINX and VBLTX In a recent article, I looked at the performance of various two-fund “stocks and bonds” portfolios comprised of Vanguard mutual funds. I paired the Vanguard 500 Index Fund Investor Shares (MUTF: VFINX ) with Vanguard bond funds of various durations, and found that the long-term bond fund, the Vanguard Long-Term Bond Index Fund (MUTF: VBLTX ), was generally the best choice in terms of maximizing expected returns for a particular level of volatility. Here is a slightly modified version of a graph from that article (curves for the other bond funds removed): (click to enlarge) To get you up to speed, the upper-right point on the curve shows that for a portfolio comprised of 100% VFINX, and 0% VBLTX, the mean and standard deviation of daily gains going back to 1994 are 0.042% and 1.192%, respectively. The next point, which represents 90% VFINX and 10% VBLTX, results in a slightly lower mean (0.041%) and considerably lower standard deviation (1.061%), making it arguably the better portfolio. You can see how mean and standard deviation vary as VFINX allocation increases in 10% increments all the way to 0% VFINX, 100% VBLTX. Notably, standard deviation is minimized for 25.8% VFINX, 74.2% VBLTX. So if you were a relatively conservative investor who wanted to take on no more than 75% of the S&P 500’s volatility, you would look at the second-from-the-right vertical line, and see that to maximize expected return you would need to be just below the 3rd data point from the right, or a VFINX allocation slightly below 80%. A nice aspect of a two-fund strategy based on Vanguard mutual funds is that trading costs are very low. The mutual funds have very low expense ratios and can be traded commission-free in a Vanguard account. 3x VFINX and VBLTX Something magical happens when you swap VFINX for a hypothetical 3x daily version of it: you get a drastically better expected returns for any given level of volatility. Take a look: (click to enlarge) (Note: Data points represent 10% allocation steps for VFINX/VBLTX, and 5% allocation steps for 3x VFINX/VBLTX. Also, daily gains for the hypothetical 3x VFINX fund were calculated by simply multiply VFINX gains by 3 and then subtracting a fixed value corresponding to a 1% annual expense ratio.) You can see that the blue curve offers drastically better mean returns than the red curve. For example, 90% VFINX/10% VBLTX (second point from the right on the red curve) has a standard deviation of 1.061% and a mean of 0.042%; 30% 3x VFINX/70% VBLTX (7th point from the bottom on the blue curve) has a very similar standard deviation of 1.064, with a much greater mean of 0.058%. In addition, with 3x VFINX/VBLTX you have the option of taking on more volatility than the S&P 500, and getting an excellent additional return. For example, if you can tolerate up to 50% more volatility than the S&P 500, you can achieve an 84.3% greater mean return (51.2% 3x VFINX/48.8% VBLTX: standard deviation 1.788%, mean 0.077%). CAGR vs. MDD I think the mean vs. SD plot best describes the performance of various VFINX/VBLTX portfolios. But CAGR vs. MDD is also very interesting, and highlights the huge improvement you get with 3x VFINX. (click to enlarge) You see drastically better raw returns for various maximum drawdowns with 3x VFINX/VBLTX compared to VFINX/VBLTX. One interesting special case, 35% 3x VFINX/65% VBLTX has about the same MDD as VFINX (55.4% vs. 55.3%), but with a much greater CAGR (14.7% vs. 9.1%). Also noteworthy, the CAGR for 3x VFINX/VBLTX portfolios starts to decrease once the allocation to 3x VFINX reaches about 70%. How to Invest in 3x VFINX Vanguard does not offer a leveraged version of VFINX (or any leveraged funds for that matter), but there are several 3x daily S&P 500 ETFs to choose from. The ProShares UltraPro S&P 500 ETF (NYSEARCA: UPRO ) and the Direxion Daily S&P 500 Bull 3x Shares ETF (NYSEARCA: SPXL ) are two options. They both have expense ratios right around 1%, and both have done an excellent job tracking 3x daily S&P 500 gains over their 6-7 year lifetimes. I know some readers will take issue with the fact that my results are based on sort of “fake” data, as I just multiplied daily VFINX gains by 3 to simulate a leveraged version of the fund (or, equivalently, the performance of UPRO or SPXL before they were around). I wouldn’t worry about this too much. All signs indicate that daily leveraged ETFs like UPRO and SPXL have very minimal tracking error. Mathematical Basis Intuitively, the reason 3x VFINX/VBLTX provides better mean returns for a given level of volatility is that it allows for a greater allocation to the alpha-generating VBLTX. Suppose you can achieve a volatility of 1% with either 90% VFINX/10% VBLTX or 40% 3x VFINX/60% VBLTX. Which will have greater expected returns? The second, because it retains 40% of VBLTX’s alpha rather than only 10%. Now for a more mathematical approach (feel free to skip). Consider a VFINX/VBLTX portfolio where C represents the proportion allocated to VFINX, and (1-C) the allocation to VBLTX; and a 3x VFINX/VBLTX portfolio where D represents the proportion allocated to 3x VFINX, and (1-D) the allocation to VBLTX. Suppose we start at the top-right part of the first figure (i.e. C = D = 1) and decrease both C and D to the point where both portfolios have the same volatility. It is easy to see that D will be less than C, i.e. you will have to allocate less to 3x VFINX than to VFINX to achieve a certain portfolio volatility. So the two portfolios have the same volatility, and D < C. Let's compare their expected returns. Let X = daily VFINX return and Y = daily VBLTX return. The first portfolio's daily return, say Z 1 , is given by Z 1 = C X + (1-C) Y. The second portfolio's daily return, say Z 2 , is given by Z 2 = 3D X + (1-D) Y. How do Z 1 and Z 2 compare? Let's subtract their expected values, and see if we can figure out if the difference favors one or the other. E(Z 2 ) - E(Z 1 ) = [3D E(X) + (1-D) E(Y)] - [C E(X) + (1-C) E(Y)] = [3D - C] E(X) + [(1-D) - (1-C)] E(Y) We know E(X) and E(Y) are both positive (otherwise we wouldn't invest in stocks or bonds). The coefficient [(1-D) - (1-C)] is also positive since D < C. Thus the entire expression will be positive as long as 3D > C, or equivalently D is greater than one-third of C. I’m sure there’s some way to prove this is true under certain circumstances. But it’s good enough to just look at a plot of C and D vs. volatility, and observe that indeed 3D > C (i.e. dotted black line is above blue line), except at the very left side of the graph. (click to enlarge) Conclusions The more I think about leveraged ETFs, the more valuable I realize they are. Here, I show that you can drastically improve performance of a S&P 500/long-term bonds portfolio by simply replacing the S&P 500 fund with a 3x version. Whatever level of volatility you are willing to tolerate, you can achieve higher expected returns by simply using a leveraged S&P 500 fund. The reason is positive alpha. Using a leveraged stocks fund lets you achieve a particular level of volatility while allocating a greater percentage of your assets to an alpha-generating bond fund. More capital generating more alpha means greater returns. The results here are shown for VBLTX, but the main points should also hold for other long-term bond mutual funds or ETFs. Additionally, for those wary of investing in long-term bonds given that interest rates are about to rise, I would suggest considering a similar approach with a short or intermediate-term bond funds.