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Review of Financial Studies Vol. 33 No. 5 2020

Factor Timing

Valentin Haddad1; Serhiy Kozak2; Shrihari Santosh3

1 University of California–Los Angeles and NBER. · 2 University of Maryland · 3 University of Colorado Boulder

Abstract

The optimal factor timing portfolio is equivalent to the stochastic discount factor. We propose and implement a method to characterize both empirically. Our approach imposes restrictions on the dynamics of expected returns, leading to an economically plausible SDF. Market-neutral equity factors are strongly and robustly predictable. Exploiting this predictability leads to substantial improvement in portfolio performance relative to static factor investing. The variance of the corresponding SDF is larger, is more variable over time, and exhibits different cyclical behavior than estimates ignoring this fact. These results pose new challenges for theories that aim to match the cross-section of stock returns.

DOI
10.1093/rfs/hhaa017
Volume
33
Issue
5
Pages
1980-2018
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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