Replicating Anomalies

Charles A. Dice Center Working Paper No. 2017-10

Fisher College of Business Working Paper No. 2017-03-010

130 Pages Posted: 3 May 2017  

Kewei Hou

Ohio State University (OSU) - Department of Finance

Chen Xue

University of Cincinnati

Lu Zhang

Ohio State University - Fisher College of Business; National Bureau of Economic Research (NBER)

Multiple version iconThere are 2 versions of this paper

Date Written: April 30, 2017

Abstract

The anomalies literature is infested with widespread p-hacking. We replicate the entire anomalies literature in finance and accounting by compiling a largest-to-date data library that contains 447 anomaly variables. With microcaps alleviated via New York Stock Exchange breakpoints and value-weighted returns, 286 anomalies (64%) including 95 out of 102 liquidity variables (93%) are insignificant at the conventional 5% level. Imposing the cutoff t-value of three raises the number of insignificance to 380 (85%). Even for the 161 significant anomalies, their magnitudes are often much lower than originally reported. Out of the 161, the q-factor model leaves 115 alphas insignificant (150 with t < 3). In all, capital markets are more efficient than previously recognized.

Keywords: Replication, P-Hacking, Anomalies, The q-Factor Model, Efficient Markets

JEL Classification: G12, G14

Suggested Citation

Hou, Kewei and Xue, Chen and Zhang, Lu, Replicating Anomalies (April 30, 2017). Charles A. Dice Center Working Paper No. 2017-10; Fisher College of Business Working Paper No. 2017-03-010. Available at SSRN: https://ssrn.com/abstract=2961979 or http://dx.doi.org/10.2139/ssrn.2961979

Kewei Hou

Ohio State University (OSU) - Department of Finance ( email )

2100 Neil Avenue
Columbus, OH 43210-1144
United States
614-292-0552 (Phone)
614-292-2418 (Fax)

Chen Xue

University of Cincinnati ( email )

College of Business Administration
Cincinnati, OH 45221
United States
(513) 556-7078 (Phone)

Lu Zhang (Contact Author)

Ohio State University - Fisher College of Business ( email )

2100 Neil Avenue
Columbus, OH 43210-1144
United States
585-267-6250 (Phone)

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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