Factors Allow Investors to Think Differently About Diversification

Tilting a portfolio to a small number of factors, including value and size, can increase returns while at the same time reducing risk.

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When I joined Buckingham Strategic Wealth more than 20 years ago, it was an exciting time in the world of finance and investment management.

The 1992 Journal of Finance publication of Eugene Fama and Kenneth French’s seminal paper, “The Cross-Section of Expected Stock Returns,” had changed the way we thought about the diversification of portfolios. Prior to then, investors had lived in a single-factor world, with market beta as the sole equity factor. Market beta measures the sensitivity of the equity risk of a stock, mutual fund or portfolio relative to the risk of the overall market.

With the introduction of the Fama-French three-factor model, finance moved into a multi-factor world, one populated by what Fama and French called “risk factors.” A factor is a characteristic or set of characteristics common across a broad set of securities that both explains performance and provides a premium (or above-market return). Factors deliver above-market returns because investors demand an ex-ante premium for accepting the higher risks associated with such securities. And with that change, we went from focusing solely on diversifying the risk of market beta (which could be accomplished by owning just two funds, a total U.S. market fund and a total international fund, and then adding the right amount of safe bonds) to a new focus on asset classes: large cap and small cap, value and growth. While this new world was more complicated, it also provided greater opportunity to add value through portfolio design.

However, financial innovation didn’t end there, and investing has become even more complex. Today, the literature contains more than 600 factors, a number so great that Professor John Cochrane famously said in his 2011 presidential address to the American Finance Association that academics and practitioners had created a factor “zoo.” The good news is that within this expansive and wide-ranging zoo, investors require only a small number of factors to explain almost all the differences in returns between diversified portfolios.

Factors Worthy of Investment

In my recently published book, “Your Complete Guide to Factor-Based Investing” (BAM Alliance Press, 2016), my co-author, Andrew Berkin, and I established the following criteria for a factor to be considered worthy of investment. In addition to providing incremental explanatory power to portfolio returns and having delivered a return premium, it must be:

  • Persistent: It holds across long periods of time and different economic regimes;
  • Pervasive: It holds across countries, regions, sectors and even asset classes;
  • Robust: It holds for various definitions (for example, there is a value premium whether it is measured by price-to-book ratio, earnings, cash flow or sales);
  • Investable: It holds up not just on paper, but also after considering actual implementation issues such as trading costs; and
  • Intuitive: There are logical risk-based or behavioral-based explanations for its premium and why it should continue to exist.

The factors that meet these criteria are market beta (the average annual return on the overall stock market minus the average annual return on one-month Treasury bills), size (the annual average return of small-cap stocks minus the annual average return of large-cap stocks), value (the annual average return of value stocks minus the annual average return of growth stocks), momentum (the average return of stocks that have done well recently minus the average return of stocks that have recently done poorly), profitability (the average return of the most profitable companies minus the average return of the least profitable companies), and the related but somewhat broader quality factor (the average return of high-quality companies minus the average return of low-quality companies).

For investors not familiar with the quality factor, quality stocks have the following characteristics: low earnings volatility, high margins, high asset turnover, low financial leverage, low operating leverage and low specific-stock risk.

Two additional factors, carry (the return realized, net of financing, if an asset’s price remains unchanged) and term (the average annual return of long-term—20-year—U.S. government securities minus the average annual return of one-month Treasury bills), also meet the criteria for investment, but this article focuses on the first six factors listed and approaches the discussion of them from an equity perspective.

A New Way to Think About Diversification

It’s clear the “discovery” and subsequent vetting of these factors has given us a new way to think about diversification. Rather than view a portfolio as a collection of asset classes, investors can view it as a collection of diversifying factors. But before we dive into what this brave new world of factor-based investing looks like, it’s important to keep in mind the basic fact that all factors are long/short portfolios (e.g., the value factor buys the cheapest stocks and shorts the most expensive).

That being said, and to shed greater light on how factor-based investing works in a portfolio, let’s return to the total stock market fund mentioned previously. Because market beta is the measure of the risk of a portfolio relative to the risk of the stock market, a total stock market (TSM) fund has by definition an exposure to beta of 1.0. However, while a TSM fund has about a 10% allocation to small-cap stocks, it has no exposure at all to the size factor.

This seeming contradiction confuses many investors. Think about it this way: While the small stocks in a TSM fund do provide positive exposure to the size factor, its large-cap stocks provide an exactly offsetting amount of negative exposure. That puts net exposure to the size factor at zero. Similarly, while roughly 30% of the holdings of a TSM fund are value stocks, providing positive exposure to the value factor, growth stocks in such funds provide an exactly offsetting amount of negative exposure, resulting in a net exposure to the value factor of zero.

Thus, a TSM fund has the following factor exposures: beta, 1.0; size, zero; and value, zero. Along these same lines, a TSM fund would have zero exposure to the other factors that meet the criteria for investment and are used in multi-factor models: momentum, profitability and quality.

To diversify a portfolio across the size and value factors, investors must “tilt” it so that the portfolio owns more than the market’s share of small and value stocks. Because these factors have provided factor premiums and have had low correlations to each other, the diversification benefit of tilted portfolios has historically produced higher Sharpe ratios (a measure of risk-adjusted returns and thus of portfolio efficiency), meaning they tend to earn higher returns while experiencing similar volatility.

Table 1 shows the annual correlations of the six equity factors under analysis to each other, in the United States for the period from 1964 through 2015. With the sole exception of the high correlation between the related profitability and quality factors, the correlations are low to negative. Notice in particular the negative correlations of the momentum premium to the beta, size and value premiums. This demonstrates the diversification benefit of adding momentum factor exposure to a portfolio that also has exposure to those other factors.

Investors can use this knowledge about premiums and their correlations to build more efficient portfolios that historically have shown reduced downside risk. This is accomplished by lowering the portfolio’s exposure to market beta while at the same time increasing its exposure to other factors. As a result, the portfolio requires less exposure to market beta to achieve the same expected return because the equities it does hold have a higher expected return than the total market portfolio. It has now become more diversified in terms of its factors exposure. What’s more, because the portfolio can hold more safe bonds without sacrificing return, its exposure to the term factor (meaning its sensitivity to interest rate fluctuations) went up, further diversifying it.

In addition, because stocks are so much more volatile than bonds, a typical 60% stock/40% bond (60/40) portfolio that invests in total market funds has about 86% of its risk in the single factor of market beta. By tilting the portfolio to other equity factors that have provided premiums and meet the criteria for investment (thereby lowering its exposure to market beta), investors can reduce the portfolio’s concentration of risk in beta while spreading it among other factors. That will create more of what is referred to as a risk-parity portfolio (a portfolio that has more equal allocations to each factor).

To demonstrate this point, consider two portfolios. Portfolio A is the typical 60/40 portfolio. It consists of just two funds, the Vanguard Total (U.S.) Stock Market Index fund (VTSMX) and the Vanguard Intermediate-Term Treasury fund (VFITX). Portfolio B is a 40/60 portfolio that also uses just two funds, the DFA U.S. Small Cap Value Fund (DFSVX) for its equity portion and the same bond fund, VFITX, for its fixed income portion. (My firm, Buckingham, recommends DFA funds in constructing client portfolios. See Table 2 for more information about the DFA fund.) The period covered is from DFSVX’s inception date in April 1993 through March 2016 (thus permitting annual rebalancing).

Table 2 shows the annualized returns, standard deviation and exposure (loadings) the two portfolios have to each factor. The figures in parentheses represent each mutual fund’s factor loading (using the regression tool available at Portfolio Visualizer (www.portfoliovisualizer.com) and the Fama-French research factors). To calculate the portfolio’s factor loading, multiply the fund’s loading by the allocation percentage. For example, Portfolio B’s allocation to DFSVX is 40% and the fund’s loading on market beta was 1.1. Thus, the portfolio’s loading on market beta was 0.44 (1.1 (DFSVX) 0.4 = 0.44).



Portfolio B is able to hold less equity risk (less exposure to market beta) because the equities it does own have higher expected returns. While the two portfolios had relatively similar returns and volatility, Portfolio B was more efficient, with both higher returns and less volatility. Furthermore, not only was it less volatile, but Portfolio B experienced far less downside risk. In 2008, Portfolio A lost 16.9%, while Portfolio B, thanks to its greater allocation to safe bonds, lost less than 7% (VTSMX lost 37.0%, VFITX gained 13.3% and DFSVX lost 36.8%).

In terms of diversification, Portfolio A has exposure to market beta of 0.6, just a 0.11 loading on the term factor and no exposure to the size, value and quality factors. Portfolio B is more diversified, with relatively more equal weightings on the equity factors and a higher loading on the term factor. Portfolios can also be structured to gain exposure to the momentum factor and its premium, which neither of these portfolios has. Using long/short funds can help investors construct portfolios even closer to risk parity. Consider Table 3, which lays out some additional benefits of diversifying across factors.

Table 3 provides the premium for each of the listed factors, its volatility and its Sharpe ratio. To avoid being accused of data mining, the table shows the same information for what are referred to as naïve, or 1/N, portfolios. (A naïve portfolio allocates the same amount to each of the chosen assets or factors.) Portfolio 1 has a 25% allocation to each of the four factors of market beta, size, value and momentum. Portfolio 2 is allocated 20% to each of the same four factors, but adds a 20% allocation to the profitability factor. Portfolio 3 simply substitutes the quality factor for the profitability factor.

Note how the low correlations among the factors lead to higher Sharpe ratios (implying better risk-adjusted returns) for the three portfolios than for any of the individual factors. We can also see the benefits of diversifying across factors in Table 4, which provides the odds of underperformance over various time horizons.

Time Frame to Profit

As you look at Table 4, you should observe three things. First, in each case, the longer the horizon, the lower the odds of underperformance become. Second, no matter how long the horizon, each of the individual factors experience some periods of underperformance, even at horizons of 20 years. The sole exception is momentum at the 20-year horizon. However, this doesn’t guarantee success for momentum at 20-year horizons going forward. Third, no matter the horizon, the odds of underperformance are lower for each of the three portfolios than for any of the individual factors.

There’s one other important point to make. An argument that I often hear from older investors can be summed up with something like this: I simply don’t have 20 years to wait to earn a factor’s premium. Unfortunately, we live in a world where all crystal balls are cloudy. Even worse, investing isn’t really even about risk. It’s about uncertainty. Unlike at the poker table, where players can calculate the odds of drawing to that full house, the best investors can do with markets is estimate the odds of negative outcomes based on history. All investors can do is to put the odds in their favor. No matter the horizon, the best odds of success have come with building portfolios diversified across factors (not portfolios concentrated in single factors, even the ones with the largest historical premiums).

In summary, a total market portfolio has all of its equity eggs in one factor (or risk) basket—market beta—while a factor-based portfolio can diversify its risks across many baskets, creating more risk parity. Harvesting different risk baskets, each with premiums and low-to-negative return correlations to the others, is a prudent way for investors to diversify while improving the risk-adjusted returns.

Finally, investors should heed these words of caution: First, all factors have experienced long periods of underperformance. Thus, before investing in one of them, investors should be sure they believe strongly in the reasons why they think the factor will persist in the long run. Without this strong belief, it is unlikely that investors will be able to maintain discipline during the inevitable long periods of underperformance. Second, because there is no way to know which factors will deliver premiums in the future, investors should build a portfolio broadly diversified across them. Remember, it’s been said that diversification is the only free lunch in investing. Thus, I recommend you eat as much of it as you can.

Discussion

James Hardin from SC posted over 9 years ago:

Incomprehesible....


Paul S from CA posted over 9 years ago:

I should understand Sharp ratios and "premiums" & "loadings"? Really? Too pedantic for me. I guess the point is that diversification is good, but diversification with a total market portfolio is not good, or not as good as diversification by the factors the author has developed.


Todd Snedden from VA posted over 9 years ago:

I think the article is interesting and provocative but it fails to illustrate how the last 3 portfolios would be constructed or how an individual investor is able to identify investments that address the diversification across the factors discussed.


Stephen Sanders from NY posted over 9 years ago:

Really? Am I supposed to decipher this article and create something in the real world....???


Dave Samuels from CA posted over 9 years ago:

Sounds like the blending of factors-perhaps Quality, Value, Momentum, etc. can over time increase returns with lower risk due to their negative correlation. My view is that this article is trying to get us to think beyond traditional diversification. Maybe you could give us a follow up article of examples of these factors being used in a sample portfolio? I look forward to your comments.


Carl Gamble from TX posted over 9 years ago:

Ouch, Keep it simple, by on a dividend paying company's down-turn and hold.


gg from California posted over 9 years ago:

Table 4 lists "Odds of underperformance", but the question is relative to what. Is it the 60/40 portfolio? Obviously it is not the market since the Beta portfolio is under performing a certain percent of the time.


David Lambert from OH posted over 9 years ago:

"gg" makes a good point about Table 4 not being fully explained. Larry Swedroe's and Andrew Berkin's book Your Complete Guide to Factor-Based Investing (2016) makes these concepts rather more clear and actionable than this short article. I read the book on a vacation trip and it flows pretty fast but is not a beginners' strategy and seems to target not only individual investors but also professionals. I wish they had included table 4 with fuller explanation in the book in order to give us a clearer picture of how the odds of underperformance correlate with holding times for various strategies. I personally found size and value applicable but not the other factors due to their not being so convincing as to enhanced performance.


David Lambert from OH posted over 9 years ago:

"gg" makes a good point about Table 4 not being fully explained. Larry Swedroe's and Andrew Berkin's book Your Complete Guide to Factor-Based Investing (2016) makes these concepts rather more clear and actionable than this short article. I read the book on a vacation trip and it flows pretty fast but is not a beginners' strategy and seems to target not only individual investors but also professionals. I wish they had included table 4 with fuller explanation in the book in order to give us a clearer picture of how the odds of underperformance correlate with holding times for various strategies. I personally found size and value applicable but not the other factors due to their not being so convincing as to enhanced performance.


Bud Sloan from NV posted over 9 years ago:

And just as I was in the process of implementing James Cloonan's "Investing at Level3," along comes "Factors Allow Investors to Think Differently About Diversification." I think I will just continue with my re-implementation of Cloonan"s concepts, since that is closest to the strategy I was using when I first began investing in the early 1980's.


cynthia m from MN posted over 9 years ago:

this article lacks some clarity on its implementation in the real world. from some comments, reading the book is required. i will be following Level3 investing for my passive portfolio. it follows most of what i thought was working for me for the last few decades.


Russ Stoeckler from WI posted over 9 years ago:

In short, work with a Dimensional Funds (DFA) approved adviser to access these factors! Stoeckler Financial Advisory Services, LLC


Edward Seid from HI posted over 9 years ago:

I wish there were a low-cost way to invest in momentum using Vanguard.


George Sturgis from MS posted over 9 years ago:

The 60/40 hang-up for risk reduction does not appeal when consideration is given to the entities and politicians issuing and backing repayment of bonds! Balance is better achieved with a mix of your other factors, etc., size, value, momentum, profitability and quality of equities.


James Braselton from AZ posted over 9 years ago:

The foregoing piece by Mr. Swedroe is the single worst piece I've read in the AAII Journal. Not only was his point/argument incomprehensible (as Mr. Hardin from SC noted above), but it did not even make an attempt to address any suggestions for practical application. Please, no more like this one.


Mark Sheingold from MA posted over 9 years ago:

I disagree with comments that how to do this is hard. You just pick ETFs that uses those factors. MTUM for Momentum, and QUAL for quality for example. Value, and Size ETFs are everywhere.


Jim Linnemann from MI posted over 9 years ago:

I too am very disappointed in the article. I did not find the article explained the concepts adequately, and I've read many investment books over the last thirty years and have subscribed to AAII as a life subscriber over at least the last 25 years. I am not afraid of math. But I have a real problem when it is advertising long term results on the basis of limited time spans, based on fitting monthly returns to portfolios involving shorts. So it is either inviting you to invest in something you can't actually understand, or gives you no framework to understand expected returns for long-only portfolios. The book is not really that much better in this regard. Just take Size as an example. The Size Factor is a long-short portfolio, but recommended implementation in the book is in long-only funds, and neither the book nor the article gives you a basis for expected performance. Quite disappointing for a thoughtful and respected author. FWIW, there are calculators on the web which allow you to take a specific mutual fund and fit it to various factor models to see what it's best correlated with.


James C from SD posted over 9 years ago:

Brilliantly written. Brings a perspective from academia applied to "scientific" portfolio construction. Our 401K has used Buckingham and DFA funds. I have heard Mr Swedroe speak and have read most of his excellent books. Using DFA funds in my 401K I had interestingly done exactly what this article suggests. Lower total equity exposure but small/ value tilt. And as Mr Stoeckler notes, Investment advisors who use DFA have been oriented to this perspective and can assist. I did not find it hard to do and did not need the asist- but I did read the books.... I urge AAII to continue to continue to include this type of next level content.


James Borgeson from NJ posted over 9 years ago:

I appear to be in the small minority of commenters who appreciated this article. Perhaps this is because I happened to first read the follow-up article, "How to Take Advantage of Risk Factors" (see June 2017 issue), which was written explicitly to address members issues/questions about this article. I strongly suggest members who had issues with this article read the follow-up article. I learned a lot from this article and the follow-up. I intend to study factor-based investing further and adjust my portfolio accordingly, starting with the sale of some Vanguard Total Market ETF and the purchase of an equal amount of Vanguard Small Cap Value ETF. I strongly urge AAII to continue to include this type of acedemic/scientific content (see James C comment above). I congratulate AAII on publishing the follow-up article in response to reader's questions/comments.


Jim Davidson from California posted over 8 years ago:

I found this article very informative. Factor investing is a hot area right now. This article provides some explanation of factors, but also some general guidelines for applying them when constructing a portfolio. I've read several of Mr. Swedroe's books, and listened to a few presentations. Previously I had read the article in the NYTimes (12/23/11) on "The Larry Portfolio". This work goes beyond that. It may be that some aspects aren't presented as clearly as they could be. My next step is to read the follow-on that appeared in AAII, and also the recent book that Mr. Swedroe co-authored in the same area.


Brian Mahon from New York posted over 6 years ago:

Anyone following the Level III portfolio is basically following Fama & French and Swedroe's work on factors that beat the broad capitalization weighted market over time. The equal weight ETF's in the Level III passive portfolio overweight value and small and mid caps relative to the usual indices (S&P 500, Dow, IYY, etc) that are capitalization weighted and therefore overweighted in large growth. The Level III also includes mid-cap value in VOE and some real estate, VNQ, for further market beating diversification. This really isn't so complicated: small caps beat large, value beats growth, momentum wins over flat price, and quality wins. You could implement this by ETF's--MTUM for momentum although weighted towards large growth, VLUE for value, VBR for small and RSP for broad market equal weighted. It's actually quite straight forward. You could also buy Swedroe's book online at Amazon and see the chapters where he reviews pretty straightforward real world implementation with various ETF's and funds, not just the DFA funds. As stated in the article, the market beating is over long periods of time, so those who are looking at the last few years will nay-say the approach and the clear empirical research that supports it.


Terry B. from Minnesota posted over 6 years ago:

I agree with Brian Mahon. Well said Brian.


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