We develop an estimation approach based on a modified EM algorithm and a mixture of Normal distributions associated with skill groups to assess performance in hedge funds. By allowing luck to affect both skilled and unskilled funds, we estimate the number of skill groups, the fraction of funds...

This paper presents the most comprehensive out-of-U.S.-sample examination of information variables and equity premium predictability by focusing on Canada to reassess the growing U.S.-based evidence casting doubt on predictability. Using monthly data for 36 variables from 1950 to 2013, we test...

This paper investigates investor disagreement and clientele effects in performance evaluation by developing a measure that considers the best potential clienteles of mutual funds. In an incomplete market under law-of-one-price and no-good-deal conditions, we obtain an upper bound on admissible...

This paper develops a diagnostic tool for candidate performance measures that accounts for investor disagreement in mutual funds. We compare the evaluation for best clienteles, specified by an upper admissible performance bound, to the one for representative investors implicit in twelve models....