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Low volatility investing is an anomaly worth exploring, given its ability to produce higher risk-adjusted returns.


Investment is about taking on enough risk to achieve the returns you need. Too much of the former, and your chances of ensuring the latter are dramatically reduced. An often-cited rule is "more risk = more returns," formalized by the Capital Asset Pricing Model (CAPM). CAPM states that there should be a positive relationship between the systematic risk exposure of a stock and its expected future returns.
Depending on the risk factor under consideration, this is generally true. For instance, investing in stocks versus bonds grants you the "market" risk factor, evidenced by how stocks generally (but not always) return more than bonds as an asset class.
Tilting your portfolio further towards other compensated risks (like the Fama-French factors of size, value, profitability, and investment) can lead to even more excess returns over the market (otherwise known as "alpha"). I wrote earlier about small-cap value factor tilts, so give that a read if you need a refresh.
There is a notable exception, and it’s the historical tendency of low-volatility stocks to outperform their higher-risk counterparts consistently. It's known as the "low volatility anomaly" or "low volatility paradox," and it could be a way to beat the market over time.
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When it comes to individual equity-like securities (stocks, ETFs), volatility is primarily measured by two concepts: standard deviation and beta.
Low volatility investments are, therefore, stocks or ETFs with a lower-than-average standard deviation and beta compared to a benchmark. Investors can therefore screen for stocks with historically low amounts of either. While this approach is past-looking, it actually serves as a fairly predictable indicator of future volatility compared to using past returns to extrapolate future returns.
Explaining the low volatility phenomenon is a herculean research endeavour in and of itself, with numerous studies finding evidence for different reasons. To save you time, I've summarized some of the more notable ones below:
The real answer is still unknown and not agreed upon, but if I had to guess, I would wager it's a mixture of the three mentioned above. Whatever the case is, low volatility investing has worked historically.
Investors can use a stock screener to pick a portfolio of low-volatility companies, but this approach is time-consuming, difficult to rebalance, and may incur substantial trading commissions and bid-ask slippage. A better way is via ETFs, and the following funds might work:
Let's see how both funds have historically performed versus the S&P 500:


Both ETFs underperformed the S&P 500 in terms of CAGR, but USMV outperformed in terms of risk-adjusted returns, with a higher Sharpe ratio and lower max drawdown. The period of the backtest was constrained by the inception date of the funds in 2011 and covered an unusually long low-interest rate bull market that helped high-beta technology stocks in the S&P 500 outperform. It's worth noting that in 2022, both low volatility ETFs fell significantly less than the S&P 500.
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