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Journal of Financial Economics Vol. 106 No. 1 2012

Testing conditional factor models

Andrew Ang1; Dennis Kristensen2,3

1 Columbia University · 2 IFS, United Kingdom · 3 UCL, United Kingdom

Abstract

Using nonparametric techniques, we develop a methodology for estimating and testing conditional alphas and betas and long-run alphas and betas, which are the averages of conditional alphas and betas, respectively, across time. The estimators and tests can be implemented for a single asset or jointly across portfolios. The traditional Gibbons, Ross, and Shanken (1989) test arises as a special case of no time variation in the alphas and factor loadings and homoskedasticity. As applications of the methodology, we estimate conditional CAPM and multifactor models on book-to-market and momentum decile portfolios. We reject the null that long-run alphas are equal to zero even though there is substantial variation in the conditional factor loadings of these portfolios.

DOI
10.1016/j.jfineco.2012.04.008
Volume
106
Issue
1
Pages
132-156
Language
en
Sources
crossref bibtex:phds-export.bib openalex

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