Abstract
This paper presents a complete solution to the estimation and testing of multi-beta models by providing a small sample likelihood ratio test when the usual normality assumption is imposed and an almost analytical GMM test when the normality assumption is relaxed. Using 10 size portfolios from January 1926 to December 1994, we reject the joint efficiency of the CRSP value-weighted and equal-weighted indices. We also apply the tests to analyze a new version of Fama and French's [Fama, E.F., French, K.R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics. 33, 3-56.] three-factor model in addition to two standard ones, and find that the new version performs the best.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 219-241 |
| Number of pages | 23 |
| Journal | Journal of Empirical Finance |
| Volume | 6 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 1999 |
Keywords
- APT
- Asset pricing
- C11
- C31
- Factor model
- G11
- G12
- Multi-beta
- Small sample test
ASJC Scopus subject areas
- Finance
- Economics and Econometrics
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Cite this
Velu, R., & Zhou, G. (1999). Testing multi-beta asset pricing models. Journal of Empirical Finance, 6(3), 219-241. https://doi.org/10.1016/S0927-5398(99)00002-X