Factor-Based Investing is like a Box of Chocolates

Rising rates and inflation acted as a wrecking ball to investment portfolios in 2022. U.S. equities and investment-grade fixed income witnessed double-digit declines, leaving investors scrambling for protection. Low volatility strategies experienced only a fraction of the losses compared to the S&P 500. The S&P 500 Low Volatility and MSCI USA Minimum Volatility Indices tracked the S&P 500 relatively closely until the second quarter when the S&P 500 fell over 16%1. Both low volatility strategies maintained their outperformance spread for the remainder of the year finishing at -4.6% and -9.2% vs. the S&P 500 at -18.1%2. How do these factor strategies work?

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In 1976, Stephen A. Ross wrote a paper on arbitrage pricing theory that expanded on the Capital Asset Pricing Model, stating that various factors explain a stock’s return. Academia uncovered various factors as return drivers, like company’s size, volatility, value, quality and momentum. Factor-based investing involves systematically selecting a group of investments based these return drivers that are thought to be associated with higher returns, improved diversification, or reduced risk. While this approach has shown promise, it is not without its pitfalls, including the susceptibility to back-testing bias and the potential erosion of factor premiums over time.

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