Zeroing in on the Expected Returns of Anomalies

72 Pages Posted: 21 Nov 2017 Last revised: 28 Sep 2021

See all articles by Andrew Y. Chen

Andrew Y. Chen

Board of Governors of the Federal Reserve System

Mihail Velikov

Pennsylvania State University

Multiple version iconThere are 2 versions of this paper

Date Written: September 27, 2021

Abstract

We zero in on the expected returns of long-short portfolios based on 204 stock market anomalies by accounting for (1) effective bid-ask spreads, (2) post-publication effects, and (3) the modern era of trading technology that began in the early 2000s. Net of these effects, the average anomaly's expected return is a measly 4 bps per month. The strongest anomalies net at best 10 bps after controlling for data-mining. Several methods for combining anomalies net around 20 bps. Expected returns are negligible despite cost mitigations that produce impressive net returns in-sample and the omission of additional trading costs like price impact.

Keywords: Stock Return Anomalies, Mispricing, Trading Costs

JEL Classification: G10, G11, G12, G14

Suggested Citation

Chen, Andrew Y. and Velikov, Mihail, Zeroing in on the Expected Returns of Anomalies (September 27, 2021). Available at SSRN: https://ssrn.com/abstract=3073681 or http://dx.doi.org/10.2139/ssrn.3073681

Andrew Y. Chen (Contact Author)

Board of Governors of the Federal Reserve System ( email )

20th Street and Constitution Avenue NW
Washington, DC 20551
United States
202-973-6941 (Phone)

HOME PAGE: http://sites.google.com/site/chenandrewy/

Mihail Velikov

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
1,378
Abstract Views
6,761
Rank
20,154
PlumX Metrics