Identifying and exploiting alpha in linear asset pricing models with strong, semi-strong, and latent factors
强、半强及潜在因子下线性资产定价模型的 alpha 识别与利用
The risk premia of traded factors are the sum of factor means and a parameter vector we denote by φ which is identified from the cross section regression of alpha of individual securities on the vector of factor loadings. If phi is non-zero one can construct "phi-portfolios" which exploit the systematic components of non-zero alpha. We show that for known values of betas and when phi is non-zero there exist phi-portfolios that dominate mean-variance portfolios. The paper…