We re-examine performance persistence amongst UK mutual funds. Specifically, we investigate performance persistence among small portfolios of past high-performing funds. In contrast to the more common analysis of decile portfolios of funds, we focus on persistence in the more extreme positive...

[We develop a performance evaluation model that incorporates the factors proposed by Huij and Derwall (2008) and a fund-specific benchmark to analyse the performance of US fixed income funds. Using the full sample, and accounting for the possibility of false discoveries we find fund management...

Investment funds provide a low cost method of sharing in the rewards from capitalism. Recently “alternative investments” such as hedge funds have grown rapidly and the trading strategies open to hedge funds are now becoming available to mutual funds and even to ordinary retail investors. In...

We re-examine US mutual fund performance persistence. We investigate persistence (i) using both “academic” factor models and “practitioner” index models, (ii) using decile-size recursive portfolios and also portfolios formed from smaller numbers of funds, (iii) using nonparametric...

We investigate the performance of the German equity mutual fund industry over 20years (monthly data 1990–2009) using the false discovery rate (FDR) to examine both model selection and performance measurement. When using the Fama–French three factor (3F) model (with no market timing) we find...

Using a comprehensive data set of almost 300 UK closed-end equity funds over the period 1990 to 2013, we use the false discovery rate to assess the alpha-performance of individual funds with both domestic and other mandates, using self-declared benchmarks and additional risk factors. We find...

We investigate the performance of winners and losers for German equity mutual funds (1990-2009), using empirical order statistics. When using gross returns and the Fama-French three-factor model, the number of statistically significant positive alpha funds is zero but increases markedly when...