Higher-Order Asset Pricing Factors via Forward Selection Fama-MacBeth Regression

Fuente: arXiv
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Hauptverfasser: Borri, Nicola, Chetverikov, Denis, Liu, Yukun, Tsyvinski, Aleh
Format: Preprint
Veröffentlicht: 2025
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author Borri, Nicola
Chetverikov, Denis
Liu, Yukun
Tsyvinski, Aleh
author_facet Borri, Nicola
Chetverikov, Denis
Liu, Yukun
Tsyvinski, Aleh
contents We show that the higher-order terms and interactions of the common sparse linear factors are significantly priced in the cross-section of equity returns. A higher-order model with only a small number of selected higher-order terms from six widely used factors outperforms traditional benchmarks both in-sample and out-of-sample. It also substantially reduces the alphas of the extensive factor zoo, suggesting that the pricing power of many zoo factors is attributable to their exposure to higher-order terms of common linear factors. We identify and rank the most relevant higher-order terms by developing a forward selection Fama-MacBeth procedure.
format Preprint
id arxiv_https___arxiv_org_abs_2503_23501
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Higher-Order Asset Pricing Factors via Forward Selection Fama-MacBeth Regression
Borri, Nicola
Chetverikov, Denis
Liu, Yukun
Tsyvinski, Aleh
Econometrics
62F10
We show that the higher-order terms and interactions of the common sparse linear factors are significantly priced in the cross-section of equity returns. A higher-order model with only a small number of selected higher-order terms from six widely used factors outperforms traditional benchmarks both in-sample and out-of-sample. It also substantially reduces the alphas of the extensive factor zoo, suggesting that the pricing power of many zoo factors is attributable to their exposure to higher-order terms of common linear factors. We identify and rank the most relevant higher-order terms by developing a forward selection Fama-MacBeth procedure.
title Higher-Order Asset Pricing Factors via Forward Selection Fama-MacBeth Regression
topic Econometrics
62F10
url https://arxiv.org/abs/2503.23501