We present a model with dynamic investment flows, where fund managers have the ability to generate excess returns and study how forcing them to commit part or all of their personal wealth to the fund they manage affects fund risk taking. We contrast the behavior of a manager that may invest her...

We exploit a novel natural experiment to establish a clear causal relation between media attention and consumer investment behavior. Our findings indicate a 31 percent local average increase in quarterly capital flows into mutual funds mentioned in a prominent Wall Street Journal “Category...

In this paper we derive closed-form solutions for the cumulative density function and the average value-at-risk for five subclasses of the infinitely divisible distributions: classical tempered stable distribution, Kim-Rachev distribution, modified tempered stable distribution, normal tempered...

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,...

Utilizing new SEC data enabling us to compute performance of mutual funds' derivative positions, we study how funds use derivatives and how derivatives contribute to performance. Despite small portfolio weights, derivatives significantly impact funds' leverage and contribute largely to returns...