In this paper we address the issue of modeling extreme asset co-movements and their implications for the hedging demands of a dynamic portfolio. We propose a model that is able to accommodate an extremal dependence structure through the stationary distribution of the state variables underlying...

The paper investigates the portfolio allocation effects of increased asset co-movements during extreme market downturns. We develop a model for the state variables underlying the stock price process that allows for increased and asymmetric dependence between extreme return realizations. We...

We solve for the optimal portfolio allocation in a setting where both conditional correlation and the clustering of extreme events are considered. We demonstrate that there is a substantial welfare loss in disregarding tail dependence, even when dynamic conditional correlation has been accounted...