The paper singles out the key roles of US equity skewness and kurtosis in the determination of the market premia embedded in Hedge Fund returns. We propose a conditional higher-moment asset pricing model with location, trading and higher-moment factors in order to describe the dynamics of the...

The paper singles out the key roles of US equity skewness and kurtosis in the determination of the market premia embedded in Hedge Fund returns. We propose a conditional higher-moment asset pricing model with location, trading and higher-moment factors in order to describe the dynamics of the...

We propose optimal mean-variance dynamic hedging strategies in discrete time under a multivariate Gaussian regime-switching model. The methodology, which also performs pricing, is robust to time-varying and clustering risk observed in financial time series. As such, it overcomes the main...

This paper explores the gamma trading, timing and managerial skills of individual hedge funds across categories. We replicate the non-linear payoffs of hedge funds with traded options, with the option features being endogenously defined in our replication model. On top of providing a flexible...

The derivation of the bi-variate Payoff Distribution model by Kat and Palaro (2005) represents an interesting contribution to the performance evaluation and asset pricing literature. Nonetheless, their approach for evaluating the function is significantly flawed. Recently, Papageorgiou et al....

We use a Markov chain model to evaluate pure persistence in hedge fund returns. We study two forms of pure persistence: absolute persistence and persistence with respect to the high water mark, accounting for the size of drawdowns. We find that hedge funds in general exhibit persistence in...

In this article we study the price of an American style option based on hedging the underlying assets at discrete time. Like its European style analog, the value of the option is not given in general by an expectation with respect to an equivalent martingale measure. We provide the optimal...