We introduce learning into the hedge fund managers’ risk choice problem with imperfect information. We find that with a constant but unobserved expected return on investment, learning induces managers to take more risks and increases manager compensation. When the return is stochastic,...

We examine the return information conveyed by a firm’s dividend surprise, defined as the difference between a firm’s actual dividend per share (DPS) and investors’ expected DPS. We find that negative-surprise stocks (i.e., stocks in the lowest dividend surprise quintile) provide 5.64% more...

To stabilize their financial markets, many governments implement a number of rescue programs. Direct purchase intervention—rarely observed in the past due to the concern of moral hazard problems and aversion to government ownership—has been commonly considered a potential way to stabilize...

In this paper, we explore what factors drive expected corporate bond returns all over the world. With a novel dataset, and utilizing machine learning models, we find there is strong predictability of corporate bond returns in international markets. However, the documented factors that drive...