Fundamental properties of linear factor models

Fuente: arXiv
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Autores principales: Filipovic, Damir, Schneider, Paul
Formato: Preprint
Publicado: 2024
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author Filipovic, Damir
Schneider, Paul
author_facet Filipovic, Damir
Schneider, Paul
contents We study conditional linear factor models in the context of asset pricing panels. Our analysis focuses on conditional means and covariances to characterize the cross-sectional and inter-temporal properties of returns and factors as well as their interrelationships. We also review the conditions outlined in Kozak and Nagel (2024) and show how the conditional mean-variance efficient portfolio of an unbalanced panel can be spanned by low-dimensional factor portfolios, even without assuming invertibility of the conditional covariance matrices. Our analysis provides a comprehensive foundation for the specification and estimation of conditional linear factor models.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02521
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fundamental properties of linear factor models
Filipovic, Damir
Schneider, Paul
Statistical Finance
Applications
62P20
We study conditional linear factor models in the context of asset pricing panels. Our analysis focuses on conditional means and covariances to characterize the cross-sectional and inter-temporal properties of returns and factors as well as their interrelationships. We also review the conditions outlined in Kozak and Nagel (2024) and show how the conditional mean-variance efficient portfolio of an unbalanced panel can be spanned by low-dimensional factor portfolios, even without assuming invertibility of the conditional covariance matrices. Our analysis provides a comprehensive foundation for the specification and estimation of conditional linear factor models.
title Fundamental properties of linear factor models
topic Statistical Finance
Applications
62P20
url https://arxiv.org/abs/2409.02521