Hedge fund systemic risk signals |
| |
Authors: | Roberto Savona |
| |
Affiliation: | Department of Economics and Management, University of Brescia, Italy |
| |
Abstract: | In this paper, we realise an early warning system for hedge funds based on specific red flags that help detect the symptoms of impending extreme negative returns and the contagion effect. To do this we use regression tree analysis to identify a series of splitting rules that act as risk signals. The empirical findings presented herein prove that contagion, crowded trades, leverage commonality and liquidity concerns are the leading indicators for predicting worst returns. We not only provide a variable selection among potential predictors, but also assign specific risk thresholds for the selected key indicators at which the vulnerability of hedge funds becomes systemically relevant. |
| |
Keywords: | Hedge funds Dynamic conditional correlations Time-varying beta Regression trees Early warning system |
本文献已被 ScienceDirect 等数据库收录! |
|