We use proprietary data to examine factors that lead hedge fund managers to offer hurdle rates and investigate relative hedge fund performance based on risk adjusted returns. Using data from 3,571 hedge funds over a 15 year period, we find that funds that do not offer a hurdle rate outperform...

In this study, we first conduct multinomial logistic regression analysis to see how hedge fund attributes affect hedge fund managers' decision of whether to offer a hurdle rate and/or high-watermark. Hedge funds taking more risky position and collecting high performance fee are more likely to...

We use proprietary data to examine factors that lead hedge fund managers to offer hurdle rates and investigate relative hedge fund performance based on risk-adjusted returns. Using data from 3,571 hedge funds over a 15 year period, we find that funds that do not offer a hurdle rate outperform...

We estimate tracking errors from 26 exchange-traded funds (ETFs) utilizing three different methods and test their relative performance using Jensen's model. We find that tracking errors are significantly different from zero and display persistence. Based on Jensen's alpha, risk adjusted returns...