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High Beta Underperforming Low Volatility

As the market continues to trade sideways in its, seemingly, directionless trade, it is helpful to observe various intermarket relationships and technical indicators to see what exactly is driving returns and to check-up on the overall health of the market. One interesting dynamic of the market this year is the underperformance of high beta stocks in relation to low volatility stocks. In a typical bull market, high beta stocks outperform as market psychology shifts to a “risk on” mindset where cyclical companies (such as high beta and high growth stocks) are favored over non-cyclical companies that provide lower, more protected exposure. This has not been the case this year. High beta stocks have underperformed low volatility stocks measured by the ratio of the performance of the PowerShares S&P 500 High Beta Portfolio ETF (NYSEARCA: SPHB ) over the PowerShares S&P 500 Low Volatility Portfolio ETF (NYSEARCA: SPLV ) . As the ratio moves higher, high beta is outperforming low volatility and as the ratio moves lower, low volatility is outperforming high beta. The performance dispersion can partially be explained by the difference in sector weighting of these two ETFs. Given SPHB’s high beta, cyclical tilt, overweights in Energy and Industrials have been a big drag on performance. Conversely, SPLV has no Energy exposure and higher weightings to Consumer Staples and Health Care, two sectors that traditionally carry lower volatility and have outperformed the broader market this year. These are a few examples of why the low volatility strategy is outperforming not only high beta names this year, but has also caught up to the S&P 500. This being said, it is interesting to note that growth stocks are still outperforming value stocks in the same time period, shown by the relationship between the iShares S&P 500 Growth ETF (NYSEARCA: IVW ) and the iShares S&P 500 Value ETF (NYSEARCA: IVE ) . While this is not a new dynamic to this bull market, the amplified disparity in performance since the end of June is noteworthy as investors continue to favor companies with higher growth rates in this slow, bump along environment. High beta stocks may reverse trend and outperform the low volatility strategy should the market resume a trend to new highs, but until then, low volatility is in play. Share this article with a colleague

Low Volatility & Momentum: Doubling The Market Return

Summary This series offers an expansive look at the Low Volatility Anomaly, or why lower risk stocks have historically produced stronger risk-adjusted returns than higher risk stocks or the broader market. While low volatility strategies are often an appropriate long-term buy-and-hold strategy, this article offers a strategy that uses a momentum signal to tilt towards higher beta securities selectively. The alpha-generative strategy combines two market anomalies – Low Volatility and Momentum – to produce outsized returns. In recent articles, I have been authoring a fairly extensive examination of the Low Volatility Anomaly, the tendency for low volatility assets to outpeform high beta assets over long-time intervals. A Low Volatility strategy was one of five buy-and-hold factor tilts that I described in a previous series of articles. I believe that these buy-and-hold strategies to capture structural alpha are appropriate for many in the Seeking Alpha audience, but understand that some readers are looking for strategies that can generate even higher absolute returns. This article depicts one such strategy. Long-time readers know that two of favorite topics on which to author have been Low Volatility and Momentum strategies. This article combines these two strategies to produce a return profile that as the title of the article suggests has more than doubled the return of the S&P 500 over the past quarter-century. Before we delve into this strategy, we should first discuss the two components that drive this tremendous performance. Low Volatility Anomaly Regular readers know that I am currently authoring a multi-part series on the Low Volatility Anomaly. These articles include an introduction to the concept, a theoretical underpinning for the anomaly , cognitive and market structure factors that contribute to its long-run performance, and empirical evidence that demonstrates the outperformance of low volatility strategies across markets, geographies and long-time intervals. In past articles, I have depicted the relative outperformance of Low Volatility strategies using the graph below which shows the cumulative total return profile (including reinvested dividends) of the S&P 500 (NYSEARCA: SPY ), the S&P 500 Low Volatility Index (NYSEARCA: SPLV ), and the S&P 500 High Beta Index (NYSEARCA: SPHB ) over the past twenty-five years. The volatility-tilted indices are comprised of the one-hundred lowest (highest) volatility constituents of the S&P 500 based on daily price variability over the trailing one year, rebalanced quarterly, and weighted by inverse (direct) volatility. Source: Standard and Poor’s; Bloomberg The Low Volatility strategy contributes an important base component to this strategy that would have doubled the return of the market over the past twenty-five years, but we also need an element that pushes the strategy into riskier parts of the market when we can get paid for this tilt in the form of higher returns. Momentum Like the low volatility strategy, momentum strategies have been alpha-generative over long-time intervals and across markets. Consistent with Jegadeesh and Titman (1993), which documented momentum in stock prices that have outperformed in the recent past over short forward intervals, the efficacy of momentum strategies have been widely documented. Academic literature has described excess returns generated by momentum strategies in foreign stocks ( Fama and French 2011 ), multiple asset classes ( Schleifer and Summers 1990 ), commodities ( Gorton, Hayashi and Rouwenhorst 2008 ), and my own studies on momentum in fixed income strategies and more recently the oil market . Academic literature offers competing theories on why momentum has generated alpha over long-time intervals across markets and geographies. Proponents of market efficiency suggest that momentum is a unique risk premium, and the long-run profitability of these strategies is compensation for this unique systematic risk factor ( Carhart 1997 ). Behaviorists offer multiple competing explanations. In my previous series, I referenced both Lottery Preferences and Overconfidence as potential justifications. Studies contend that markets under-react to new information ( Hong and Stein 1999 ), which allows for the autocorrelations found in return series. Other behavioral economists contend that the disposition effect, or the tendency for investors to pocket gains and avoid losses, makes investors prone to sell winners early and hold onto losers too long ( Frazzini 2006 ), which could be further amplified by a “bandwagon effect” that leads investors to favor stocks with recent outperformance. Blitz, Falkenstein and Van Vliet (2013) offer an expansive summary of these explanations. The Strategy I am of the opinion that low volatility stocks should be a part of investors’ longer-term strategic asset allocation given that class of stocks’ historical higher average returns and lower variability of returns. In ” Making Buffett’s Alpha Your Own ,” I described academic research ( Frazzini, Kabiller, Pederson 2013 ) that broke down the Oracle of Omaha’s tremendous track record at Berkshire Hathaway ( BRK.A , BRK.B ) into two components – capturing the Low Volatility Anomaly and the application of leverage. If an allocation to low volatility stocks should be part of your long-term strategic asset allocation, then an allocation to high beta stocks must be done tactically with a short-term focus given that class of stocks’ lower long run average returns and higher variability of returns. This view is borne out of the data underpinning the chart above. However, a temporary allocation to the High Beta Index in sharply rising markets can further boost performance. The High Beta stock index has typically outperformed in post-recession recoveries. How do we combine Low Volatility and Momentum? A quarterly switching strategy between the Low Volatility Index and the High Beta Index, which buys the leg that has outperformed over the trailing quarter and holds that leg forward for the subsequent quarter, would have produced the return profile seen below since 1990, easily besting the S&P 500 with lower return volatility. For a pictorial demonstration of the leg that would be chosen by the Momentum strategy, please see the exhibit at the end of the article. It is a very simple heuristic. The Momentum strategy buys either Low Vol or High Beta stocks based on the index that outperformed in the trailing quarter and holds that index for the subsequent quarter before re-examining the allocation once again. The results are striking. (click to enlarge) From the cumulative return graph above, one can see that $1 invested in the S&P 500 would have produced $9.04 at the end of the period (including reinvested dividends) whereas $1 invested in the Momentum portfolio would have produced $19.90. These are gross index returns and do not consider taxes. Readers envisioning employing momentum strategies should utilize tax-deferred accounts. Summary statistics of the trade are captured below: (click to enlarge) The simple quarterly switching momentum strategy would have produced a 13% return per annum over the long sample period. This 3.6% outperformance relative to the S&P 500 led to the cumulative doubling of the market returns over time. Note that while the Momentum strategy is riskier than the broad market as measured by the variability of quarterly returns, practitioners of this strategy would have been rewarded with correspondingly higher returns for this incremental risk. While I contend that a long-run, buy-and-hold tilt towards lower volatility equity is probably appropriate for many Seeking Alpha readers, this article demonstrates a momentum-based switching strategy that can help inform investors when to pivot towards higher beta stocks when they offer returns commensurate with their higher risk. Disclaimer My articles may contain statements and projections that are forward-looking in nature, and therefore inherently subject to numerous risks, uncertainties and assumptions. While my articles focus on generating long-term risk-adjusted returns, investment decisions necessarily involve the risk of loss of principal. Individual investor circumstances vary significantly, and information gleaned from my articles should be applied to your own unique investment situation, objectives, risk tolerance, and investment horizon. Exhibit: Returns of Low Vol, High Beta, Momentum, & Market (click to enlarge) Disclosure: I am/we are long SPLV, SPHB. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

Low Volatility Anomaly: Buffett’s Alpha Example

Summary This series offers an expansive look at the Low Volatility Anomaly, or why lower risk stocks have historically produced stronger risk-adjusted returns than higher risk stocks or the broader market. This article offers empirical evidence that one of the most successful investment minds of a generation has capitalized on this anomaly. By adding financial leverage to lower risk businesses, Berkshire Hathaway has generated higher risk-adjusted returns historically. Given the long-run structural alpha generated by low volatility strategies, I wanted to dedicate a more detailed discussion of the efficacy of this style of investing for Seeking Alpha readers. In recent articles, I have provided readers a detailed theoretical underpinning of the strategy. In this article and subsequent pieces, I am going to provide empirical evidence across markets that depicts the success of a low volatility bent. Empirical Evidence of the Low Volatility Anomaly Since the evolution of the Capital Asset Pricing Model (CAPM) in the early 1960s, it has been axiomatic in modern finance that expected returns are a function of an asset’s systematic risk, or beta, when the asset is added to a well-diversified portfolio. As discussed throughout this series thus far, the simplifying assumptions underlying CAPM provide frictions between model and market. These conventions underlying CAPM include that markets are wholly efficient, investors can lend and borrow unlimited amounts at the risk-free rate, trade fee of transaction costs and tax implications, and that the variance of returns is an adequate measure of risk in a world where asset returns are not normally distributed. Despite these shortcomings, the general CAPM framework has largely become broadly embedded in capital budgeting and, in part, market expectations. The presentation of empirical evidence on the Low Volatility Anomaly is greatly strengthened when you can demonstrate its role in the success of one of the greatest investors of our time. In 2013, Andrea Frazzini, David Kabiller, and Lasse Pedersen, each affiliated with hedge fund AQR Capital Management, published ” Buffett’s Alpha “, which deconstructed the return profile of Berkshire Hathaway (NYSE: BRK.A ) (NYSE: BRK.B ). From their analysis, the authors found: “the general tendency of high-quality, safe, and cheap stocks to outperform can explain much of Buffett’s performance and controlling for these factors makes Buffett’s alpha statistically insignificant.” That is a powerful statement. In a set-up to their attention-grabbing assertion, the authors demonstrated that of all stocks that traded for more than 30 years between 1926 and 2011, Berkshire Hathaway had the highest Sharpe Ratio. Buffett also magnified these risk-adjusted excess returns through the deployment of leverage estimated by the authors to be at a level of 1.6 to 1 on average. The leverage came both in the form of borrowings, which benefited from Berkshire Hathaway’s very high quality credit rating, and through float from his insurance subsidiaries. To demonstrate that Buffet’s tremendous performance was a function of this tendency to buy low risk stocks and employ conservative levels of investment leverage, the authors created tracking portfolios to mimic Buffett’s market exposure and active stock-selection themes, leveraged to the same active risk as Berkshire Hathaway. (click to enlarge) The Buffett-tracking portfolio performs comparably to the best-in-class performance of Berkshire Hathaway, demonstrating that Buffett is less a sage stock picker than a principled practitioner who has long understood the Low Volatility Anomaly and who had an investment vehicle that allowed him to avoid costly liquidations in times of stress. Note that Buffett’s average beta of his public stock holdings was just 0.77. In addition to the impressive long-run alpha demonstrated by Buffett’s leveraging of low volatility assets, another glaring failure of CAPM can be seen in the returns of the S&P 500 Low Volatility Index and the S&P 500 High Beta Index. These two indices form portfolios of the one hundred highest and lowest volatility stocks in the S&P 500 Index based on the standard deviation of price changes of the trailing 252 trading days. The indices are then rebalanced quarterly. The performance of these strategies was backtested to 1990, and demonstrates that returns would have been directionally opposite of what would be predicted by CAPM with low volatility stocks (replicated by the PowerShares S&P 500 Low Volatility Portfolio ETF (NYSEARCA: SPLV )) strongly outperforming high beta stocks (replicated by the PowerShares S&P 500 High Beta Portfolio ETF (NYSEARCA: SPHB )). (click to enlarge) Source: Standard and Poor’s; Bloomberg Joining these two examples, Buffett’s recent notable purchases have conformed to the idea of levering low volatility equities. When Berkshire Hathaway and 3G Capital combined to purchase H.J. Heinz in February 2013 , Heinz was the fifteenth largest constituent in the S&P 500 Low Volatility Index, putting the company in the 97th percentile of the S&P 500 in terms of trailing realized volatility. Buffett’s initial investment included an $8B preferred stake with a high fixed coupon, further dampening the volatility of the cash flow returns his enterprise received as part of the deal. The Berkshire/3G Capital combination would further expand their bet on the low beta packaged food sector in March 2015 with the purchase of a controlling stake in Kraft Foods Group (NASDAQ: KHC ). When Berkshire Hathaway’s Mid-American Energy unit purchased NV Energy in June of 2013 , the stock had a trailing twelve month beta of 0.73 and electric utilities were the largest individual sector weighting of the S&P 500 Low Volatility Index. When Berkshire’s utility unit had made an early purchase of Pacificorp in 2006, it was reported in Electric Utility Week that Buffett told Oregon regulators that owning utilities was “not a way to get rich – it’s a way to stay rich.” This quote came in the two years following Texas Pacific’s failed bid for Oregon’s Portland General Electric (NYSE: POR ) and KKR’s nixed acquisition of Arizona’s Unisource ( OTCPK:USRC ). Regulators at the time were concerned that these private equity firms would purchase the utility holding companies with excessive financing, the cost of which could be explicitly borne by customers in the form of higher rates and implicitly through backlogged maintenance, as capital expenditures were crowded out by debt service payments. With the notable exception of the disastrous TXU leveraged buyout in 2007, the industry has largely eschewed large scale leveraging transactions in favor of incremental releveraging through conservatively financed share repurchase plans and above market dividend rates. With regulated returns on equity, utilities generate stable and predictable cash flows for strong operators, making Buffett’s desire to lever the cash flow streams of these companies highly consistent with his long established track record of buying stable businesses. Warren Buffett’s tremendous long-run performance is in large part attributable to his early understanding of the relative outperformance of lower risk and stable businesses. In my next article in this series, I will demonstrate a way to capitalize on the Low Volatility Anomaly in the fixed income market. Disclaimer My articles may contain statements and projections that are forward-looking in nature, and therefore inherently subject to numerous risks, uncertainties and assumptions. While my articles focus on generating long-term risk-adjusted returns, investment decisions necessarily involve the risk of loss of principal. Individual investor circumstances vary significantly, and information gleaned from my articles should be applied to your own unique investment situation, objectives, risk tolerance, and investment horizon. Disclosure: I am/we are long SPLV. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.