Characteristic-Sorted Portfolios: Estimation and Inference

Matias Cattaneo, Richard Crump, Max Farrell and Ernst Schaumburg

Papers from arXiv.org

Abstract: Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies. Despite its popularity, little attention has been paid to the statistical properties of the procedure. We develop a general framework for portfolio sorting by casting it as a nonparametric estimator. We present valid asymptotic inference methods and a valid mean square error expansion of the estimator leading to an optimal choice for the number of portfolios. In practical settings, the optimal choice may be much larger than the standard choices of 5 or 10. To illustrate the relevance of our results, we revisit the size and momentum anomalies.

Date: 2018-09, Revised 2019-10
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Citations: View citations in EconPapers (1)

Published in Review of Economics and Statistics, 102(3), 531--551, 2020

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Related works:
Journal Article: Characteristic-Sorted Portfolios: Estimation and Inference (2020)
Working Paper: Characteristic-Sorted Portfolios: Estimation and Inference (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1809.03584

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