We show, using machine learning, that fund characteristics can consistently differentiate high from low-performing mutual funds, as well as identify funds with net-of-fees abnormal returns. Fund momentum and fund flow are the most important predictors of future risk-adjusted fund performance,...

Compensation of mutual fund managers is paramount to understanding agency frictions in asset delegation. We collect a unique registry-based dataset on the compensation of Swedish mutual fund managers. We find a concave relationship between pay and revenue, in contrast to how investors compensate...

Compensation of mutual fund managers is paramount to understanding agency frictions in asset delegation. We collect a unique registry-based dataset on the compensation of Swedish mutual fund managers. We find a concave relationship between pay and revenue, in contrast to how investors compensate...

Compensation of mutual fund managers is paramount to understanding agency frictions in asset delegation. We collect a unique registry-based dataset on the compensation of Swedish mutual fund managers. We find a concave relationship between pay and revenue, in contrast to how investors compensate...

We show, using machine learning, that fund characteristics can consistently differentiate high from low-performing mutual funds, as well as identify funds with net-of-fees abnormal returns. Fund momentum and fund flow are the most important predictors of future risk-adjusted fund performance,...