Hedge funds are dynamic, versatile, opaque, and, according to BarclayHedge, their assets under management have nearly doubled from $2.6 trillion in 2015 to $4.9 trillion in 2021. In the recent decade, whether hedge funds have delivered superior performance is in debate. Researchers conclude...

This paper studies the "confidential holdings" of institutional investors, especially hedge funds, where the quarter-end equity holdings are disclosed with a delay through amendments to the Form 13F and are usually excluded from the standard databases. Evidence supports private information as...

We investigate hedge fund firms' unobserved performance (UP), measured as the riskadjusted return difference between a fund firm’s reported return and hypothetical portfolio return derived from its disclosed long equity holdings. Fund firms with high UP outperform those with low UP by 7.2%...

We develop a new systematic tail risk measure for equity-oriented hedge funds to examine the impact of tail risk on fund performance and to identify the sources of tail risk. We find that tail risk affects the cross-sectional variation in fund returns, and investments in both, tail-sensitive...

This paper investigates empirically whether uncertainty about equity market volatility can explain hedge fund performance both in the cross section and over time. We measure uncertainty via volatility of aggregate volatility (VOV) and construct an investable version through returns on lookback...

This paper studies the “confidential holdings” of institutional investors, especially hedge funds, where the quarter-end equity holdings are disclosed with a delay through amendments to the Form 13F and are usually excluded from the standard databases. Funds managing large risky portfolios...

This paper formally analyzes the biases related to self-reporting in hedge fund databases by matching the quarterly equity holdings of a complete list of 13F-filing hedge fund companies to the union of five major commercial databases of self-reporting hedge funds between 1980 and 2008. We find...

CAPM alpha explains hedge fund flows better than alphas from more sophisticated models. This suggests that investors pool together sophisticated model alpha with returns from exposures to traditional (except for the market) and exotic risks. We decompose performance into traditional and exotic...

Hedge fund flows chase alpha, yet they also follow returns attributable to traditional and exotic risk exposures. Investors appear more cognizant of exotic risks over time, with flows increasing their relative emphasis on returns from exotic betas in recent years. Investors also discriminate...