Critical Finance Review > Vol 1 > Issue 1

Testing Factor-Model Explanations of Market Anomalies

Kent Daniel, Graduate School of Business, Columbia University, kd2371@columbia.edu Sheridan Titman, The College of Business Administration, University of Texas, titman@mail.utexas.edu
 
Suggested Citation
Kent Daniel and Sheridan Titman (2012), "Testing Factor-Model Explanations of Market Anomalies", Critical Finance Review: Vol. 1: No. 1, pp 103-139. http://dx.doi.org/10.1561/104.00000003

Published: 01 Jan 2012
© 2012 K. Daniel and S. Titman
 
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In this article:
1 Introduction
2 Correlations of Candidate Factors
3 The Power of Tests on Characteristic Sorted Portfolios
4 Empirical Tests
5 Conclusions
Appendix A. Conditional Models and Conditional Tests
Acknowledgements
References

Abstract

A set of recent papers attempts to explain the size and book-to-market anomalies with conditional CAPM or CCAPM models with economically motivated conditioning variables, or with factor models with economically motivated factors. The tests of these models, as presented, fail to reject the proposed model. We argue that these tests fail to reject the null hypothesis because they have very low statistical power against what we call the characteristics alternative. Specifically, the low power of these tests arises because they use as test portfolios, characteristic-sorted portfolios that do not have sufficient independent variation in the factor loadings and the characteristics. We propose several methods for constructing more appropriate test portfolios and for designing more powerful tests. We show that with these more powerful tests the models we examine are rejected at high levels of statistical significance.

DOI:10.1561/104.00000003