Testing Linear Factor Pricing Models with Large Cross-Sections: A Distribution-Free Approach
            We develop a finite-sample procedure to test the beta-pricing representation of  linear factor pricing models that is applicable even if the number of test  assets is greater than the length of the time series. Our distribution-free  framework leaves open the possibility of unknown forms of non-normalities,  heteroskedasticity, time-varying correlations, and even outliers in the asset  returns.