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...

In this paper, we investigate the performance persistence of hedge funds over time horizons between 6 and 36 months based on a merged sample from the Lipper/TASS and CISDM databases for the time period from 1994 to 2008. Unlike previous literature, we use a panel probit regression approach to...

This paper investigates the alpha generation of the hedge fund industry based on a recent sample compiled from the Lipper/TASS database covering the time period from January 1994 to September 2008. We find a positive average hedge fund alpha in the cross-section for the majority of strategies...

We examine the relative weights hedge fund investors attach to past information in the fund selection process. The weighting scheme appears inconsistent with econometric forecasting models that predict fund returns, alphas or Sharpe ratios. In particular, investor flows are highly sensitive to...

This paper proposes a model of asset-market equilibrium with portfolio delegation and optimal fee contracts. Fund managers and investors strategically interact to determine funds' investment profiles, while they share portfolio risk through fee contracts. In equilibrium, their investment...

We measure misvaluation using the discounted residual income model of Ohlson (1990, 1995). We show that there are significant returns on a long-short portfolio that buys under- and sells short overvalued shares. These returns are highly correlated with the Fama and French HML factor returns and...

Our study is the first to combine returns based and characteristics based style analysis into a single style analysis model. We use Best Fit Indices to establish the ‘investment domains' of our sample managers, along the lines of size and ‘style,' and then use our multidimensional...

It is widely believed that stocks with high idiosyncratic risk exhibit stronger anomalies because arbitrageurs avoid holding these stocks due to diversification concerns, allowing deviations of prices from fundamental values. In this paper we test this proposition using hedge fund holding data....

To identify capacity constraints in hedge funds and simultaneously gauge how well-informed hedge fund investors are, we need measures of investor demand that do not affect deployed hedge fund assets. Using new data on investor interest from a secondary market for hedge funds, this paper verifies...

High-frequency trading has become a dominant force in the U.S. capital market, accounting for over 70% of dollar trading volume. This study examines the implication of high-frequency trading for stock price volatility and price discovery. I find that high-frequency trading is positively...