Tests of Asset Pricing with time-varying factor loads
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 CAPM, and the three and five factor models developed by Fama and French (1993, 2015). 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.