This article analyzes the effect of liquidity risk on the performance of various hedge fund portfolio strategies. Similarly to Avramov et al. (2007), we find that, before accounting for the effect of liquidity risk, hedge fund portfolios that incorporate predictability in managerial skills...

We develop a new approach for evaluating performance across hedge funds. Our approach allows for performance comparisons between models that are misspecified – a common feature given the numerous factors that drive hedge fund returns. The empirical results show that the standard models used in...

Following surprise independent director departures, affected firms have worse stock and operating performance, are more likely to restate earnings, face shareholder litigation, suffer from an extreme negative return event, and make worse mergers and acquisitions. The announcement returns to...

Hedge funds offer desirable risk-return profiles; but we also find high management fees, lack of transparency and worse, very limited liquidity (they are often closed to new investors and disinvestment fees can be prohibitive). This creates an incentive to replicate the attractive features of...

Hedge funds significantly reduced their equity holdings during the recent financial crisis. In 2008Q3-Q4, hedge funds sold about 29% of their aggregate portfolio. Redemptions and margin calls were the primary drivers of selloffs. Consistent with forced deleveraging, the selloffs took place in...

We find evidence that hedge funds significantly manipulate stock prices on critical reporting dates. We document that stocks held by hedge funds experience higher returns on the last day of the quarter, followed by a reversal the next day. For example, the stocks in the top quartile of hedge...

We develop a framework for the strategic interaction between a hedge fund and a prime broker. The hedge fund optimally determines its cash holdings and the fraction of shorted securities. The prime broker optimally determines its cash holdings, the margin rates, and the rehypothecation rate. The...

Policymakers fear artificial intelligence (AI) will disrupt labor markets, especially for high-skilled workers. We investigate this concern using novel, task-specific data for security analysts. Exploiting variation in AI's power across stocks, we show analysts with portfolios that are more...