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Autores principales: Jiao, Yuxiao, Zhou, Guofu, Zhu, Wu, Zhu, Yingzi
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2508.02253
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author Jiao, Yuxiao
Zhou, Guofu
Zhu, Wu
Zhu, Yingzi
author_facet Jiao, Yuxiao
Zhou, Guofu
Zhu, Wu
Zhu, Yingzi
contents We develop a new framework for constructing factors from firm characteristics that balances statistical efficiency and economic interpretability. Instead of using all characteristics equally, our method groups related characteristics and derives one factor per group. The grouping combines economic intuition with data-driven clustering. Applied to the IPCA model by Kelly et al. (2019), our approach yields economically meaningful factors that match or exceed standard IPCA in pricing performance. Using 94 characteristics from Gu et al. (2020), we show that our parsimonious, transparent factors outperform benchmarks in out-of-sample tests, demonstrating the value of embedding economic structure into statistical modeling.
format Preprint
id arxiv_https___arxiv_org_abs_2508_02253
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Interpretable Factors of Firm Characteristics
Jiao, Yuxiao
Zhou, Guofu
Zhu, Wu
Zhu, Yingzi
Pricing of Securities
We develop a new framework for constructing factors from firm characteristics that balances statistical efficiency and economic interpretability. Instead of using all characteristics equally, our method groups related characteristics and derives one factor per group. The grouping combines economic intuition with data-driven clustering. Applied to the IPCA model by Kelly et al. (2019), our approach yields economically meaningful factors that match or exceed standard IPCA in pricing performance. Using 94 characteristics from Gu et al. (2020), we show that our parsimonious, transparent factors outperform benchmarks in out-of-sample tests, demonstrating the value of embedding economic structure into statistical modeling.
title Interpretable Factors of Firm Characteristics
topic Pricing of Securities
url https://arxiv.org/abs/2508.02253