We propose that fund performance can be predicted by its R-super-2, obtained from a regression of its returns on a multifactor benchmark model. Lower R-super-2 indicates greater selectivity, and it significantly predicts better performance. Stock funds sorted into lowest-quintile lagged...

We propose a new hypothesis-testing method for multipredictor regressions in small samples, where the dependent variable is regressed on lagged variables that are autoregressive. The new test is based on the augmented regression method (Amihud and Hurvich, 2004), which produces reduced-bias...