NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

. . . and the Cross-Section of Expected Returns

Campbell R. Harvey, Yan Liu, Heqing Zhu

NBER Working Paper No. 20592
Issued in October 2014
NBER Program(s):   AP

Hundreds of papers and hundreds of factors attempt to explain the cross-section of expected returns. Given this extensive data mining, it does not make any economic or statistical sense to use the usual significance criteria for a newly discovered factor, e.g., a t-ratio greater than 2.0. However, what hurdle should be used for current research? Our paper introduces a multiple testing framework and provides a time series of historical significance cutoffs from the first empirical tests in 1967 to today. Our new method allows for correlation among the tests as well as missing data. We also project forward 20 years assuming the rate of factor production remains similar to the experience of the last few years. The estimation of our model suggests that a newly discovered factor needs to clear a much higher hurdle, with a t-ratio greater than 3.0. Echoing a recent disturbing conclusion in the medical literature, we argue that most claimed research findings in financial economics are likely false.

download in pdf format
   (662 K)

email paper

Machine-readable bibliographic record - MARC, RIS, BibTeX

Document Object Identifier (DOI): 10.3386/w20592

Users who downloaded this paper also downloaded* these:
Bitler and Zavodny w20169 Medicaid: A Review of the Literature
Eggertsson and Mehrotra w20574 A Model of Secular Stagnation
Glaeser, Gottlieb, and Ziv w20291 Unhappy Cities
Frazzini, Kabiller, and Pedersen w19681 Buffett's Alpha
Chiswick and Hatton International Migration and the Integration of Labor Markets
 
Publications
Activities
Meetings
NBER Videos
Themes
Data
People
About

National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email: info@nber.org

Contact Us