It is well-known that the univariate generalized Pareto distributions (GPD) are characterized by their peaks-over-threshold (POT) stability. We extend this result to multivariate GPDs. It is also shown that this POT stability is asymptotically shared by distributions which are in a certain neighborhood of a multivariate GPD. A multivariate extreme value distribution is a typical example. The usefulness of the results is demonstrated by various applications. We immediately obtain, for example, that the excess distribution of a linear portfolio with positive weights ai, iPeaks-over-threshold stability Multivariate extreme value distribution Multivariate generalized Pareto distribution Excess distribution Linear portfolio Expected shortfall
The multivariate generalized Pareto distribution arises as the limit of a normal- ized vector condit...
textabstractWhen assessing the impact of extreme events, it is often not just a single component, bu...
Multivariate peaks over thresholds modelling based on generalized Pareto distributions has up to now...
AbstractIt is well-known that the univariate generalized Pareto distributions (GPD) are characterize...
Statistical inference for extremes has been a subject of intensive research over the past couple of ...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
The investigation of multivariate generalized Pareto distributions (GPDs) has begun only recently an...
AbstractThe investigation of multivariate generalized Pareto distributions (GPDs) has begun only rec...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
The multivariate generalized Pareto distribution arises as the limit of a suitably normalized vector...
The multivariate generalized Pareto distribution arises as the limit of a normal- ized vector condit...
textabstractWhen assessing the impact of extreme events, it is often not just a single component, bu...
Multivariate peaks over thresholds modelling based on generalized Pareto distributions has up to now...
AbstractIt is well-known that the univariate generalized Pareto distributions (GPD) are characterize...
Statistical inference for extremes has been a subject of intensive research over the past couple of ...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
The investigation of multivariate generalized Pareto distributions (GPDs) has begun only recently an...
AbstractThe investigation of multivariate generalized Pareto distributions (GPDs) has begun only rec...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Multivariate generalized Pareto distributions arise as the limit distributions of exceedances over m...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
Generalized Pareto distributions with positive tail index arise from embedding a Gamma random variab...
The multivariate generalized Pareto distribution arises as the limit of a suitably normalized vector...
The multivariate generalized Pareto distribution arises as the limit of a normal- ized vector condit...
textabstractWhen assessing the impact of extreme events, it is often not just a single component, bu...
Multivariate peaks over thresholds modelling based on generalized Pareto distributions has up to now...