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...

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...

This study presents a hedge fund portfolio choice model for an investor facing ambiguity. In the empirical section, we measure ambiguity as the cross-sectional dispersion in Industrial Production growth and in stock market return forecasts, and we construct the systematic ambiguity factors from...

This paper studies the implications of opacity in fi nancial markets for investor behavior, asset prices, and welfare. Transparent funds (e.g. mutual funds) and opaque funds (e.g. hedge funds) trade transparent assets (e.g. plain-vanilla products) and opaque assets (e.g. structured products)....

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...

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...

I introduce dynamic option trading and non-linear views into the classical portfolio selection problem. The optimal dynamic option portfolio is characterized explicitly in terms of its expected sensitivities (Greeks) and the role of the mean-variance effi cient portfolio is played by the "Greek...

We introduce a model for portfolio selection with an extendable investment universe where the agent faces a trade-off between exploiting existing and exploring for new investment opportunities. An agent with mean-variance preferences starts with an existing investment universe consisting of a...

We introduce an ensemble learning method based on Gaussian Process Regression (GPR) for predicting conditional expected stock returns given stock-level and macro-economic information. Our ensemble learning approach significantly reduces the computational complexity inherent in GPR inference and...

We examine the optimal allocation of assets in the portfolio of a Colombian homeowner conditional on various levels of the house value to net wealth ratio. The high rate of home ownership and low rates of investment in financial assets indicate that households allocate most of their wealth to...