Testing Factor-Model Explanations of Market Anomalies
Kent Daniel and
Sheridan Titman
Critical Finance Review, 2012, vol. 1, issue 1, 103-139
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.
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (44)
Downloads: (external link)
http://dx.doi.org/10.1561/104.00000003 (application/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:now:jnlcfr:104.00000003
Access Statistics for this article
More articles in Critical Finance Review from now publishers
Bibliographic data for series maintained by Lucy Wiseman ().