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Title: Characteristic-Sorted Portfolios: Estimation and Inference
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 five or ten. To illustrate the relevance of our results, we revisit the size and momentum anomalies.  more » « less
Award ID(s):
1459931
NSF-PAR ID:
10417608
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
The Review of Economics and Statistics
Volume:
102
Issue:
3
ISSN:
0034-6535
Page Range / eLocation ID:
531 to 551
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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