Factor Selection and Structural Breaks Article Swipe

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selection (genetic algorithm) factor (programming language) computer science mathematics artificial intelligence programming language

Siddhartha Chib , Simon C. Smith ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.17016/feds.2024.037 · OA: W4399295975

We develop a new approach to select risk factors in an asset pricing model that allows the set to change at multiple unknown break dates. Using the six factors displayed in Table 1 since 1963, we document a marked shift towards parsimonious models in the last two decades. Prior to 2005, five or six factors are selected, but just two are selected thereafter. This finding offers a simple implication for the factor zoo literature: ignoring breaks detects additional factors that are no longer relevant. Moreover, all omitted factors are priced by the selected factors in every regime. Finally, the selected factors outperform popular factor models as an investment strategy.