Using Form PF filings over 2013–2017, we find that funds maintain higher levels of cash holdings and available borrowing (“liquidity buffers”) when they hold more illiquid assets, have shorter-term commitments from investors and creditors, and when market volatility is greater. We also...

We show that a simple and intuitive variable, the return of a bear spread portfolio orthogonalized with respect to the market (H-Bear factor), can serve as an important pillar for explaining the cross-section of hedge fund returns. Low H-Bear exposure funds (bear risk insurance sellers)...

This paper proposes a novel database merging approach and re-examines the fundamental questions regarding hedge fund performance. Before drawing conclusions about fund performance, we form an aggregate database by exploiting all available information across and within seven commercial databases...

This paper examines the effect of regulatory constraints on fund performance and risk by comparing conventional and UCITS hedge funds. Using a matching estimator approach, we estimate the indirect cost of UCITS regulation to be between 1.06% and 4.05% per annum in terms of risk-adjusted returns....

This paper proposes a novel database merging approach and re-examines the fundamental questions regarding hedge fund performance. Before drawing conclusions about fund performance, we form an aggregate database by exploiting all available information across and within seven commercial databases...

This paper studies hedge fund performance and confirms reports of an aggregate decline over the past decade. We test whether a comprehensive set of prediction models can select subsets of individual funds that buck the trend and subsequently outperform. Seven of the predictors reliably pick...

This paper examines the effect of regulatory constraints on fund performance and risk by comparing conventional and UCITS hedge funds. Using a matching estimator approach, we estimate the indirect cost of UCITS regulation to be between 1.06% and 4.05% per annum in terms of risk-adjusted returns....

This paper compares various machine learning models to predict the cross-section of emerging market stock returns. We document that allowing for non-linearities and interactions leads to economically and statistically superior out-of-sample returns compared to traditional linear models. Although...

This study has 4 contributions to the literature. First, the authors analyze the risk characteristics for 11 Relative Value hedge fund strategies. Second, the authors introduce 3 families of behavioral factors, the D family, the L family, and the R family. In contrast to previous hedge fund...

On the tracking and replication of hedge fund optimal investment portfolio strategies in global The hedge fund represents a unique investment opportunity for the institutional and private investors in the diffusion-type financial systems. The main objective of this condensed article is to...