In this paper we realize an early warning system for hedge funds based on specific red flags that help to detect symptoms of impending extreme negative returns and contagion effect. To do this we rely on regression trees analysis identifying a series of splitting rules which act as risk signals....

Using a Bayesian time‐varying beta model, we explore how the systematic risk exposures of hedge funds vary over time conditional on some exogenous variables that managers are assumed to use in changing their trading strategies. In such a setting, we impose a structure on fund returns, betas...