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Tests of asset pricing with time‐varying factor loads
Author(s) -
Galvao Antonio F.,
MontesRojas Gabriel,
Olmo Jose
Publication year - 2019
Publication title -
journal of applied econometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.878
H-Index - 99
eISSN - 1099-1255
pISSN - 0883-7252
DOI - 10.1002/jae.2687
Subject(s) - capital asset pricing model , econometrics , risk premium , economics , factor analysis , consumption based capital asset pricing model , homogeneity (statistics) , arbitrage pricing theory , null hypothesis , financial economics , actuarial science , statistics , mathematics
Summary This paper proposes an empirical asset pricing test based on the homogeneity of the factor risk premia across risky assets. Factor loadings are considered to be dynamic and estimated from data at higher frequencies. The factor risk premia are obtained as estimates from time series regressions applied to each risky asset. We propose Swamy‐type tests robust to the presence of generated regressors and dependence between the pricing errors to assess the homogeneity of the factor risk premia and the zero intercept hypothesis. An application to US industry portfolios shows overwhelming evidence rejecting the capital asset pricing model, and the three and five factor models developed by Fama and French ( Journal of Financial Economics , 1993, 33 , 3–56; Journal of Financial Economics , 2015, 116 , 1–22). In particular, we reject the null hypotheses of a zero intercept, homogeneous factor risk premia across risky assets, and the joint test involving both hypotheses.