Abstract

In this short paper, we study a VaR-type risk measure introduced by Guérin and Renaud and which is based on cumulative Parisian ruin. We derive some properties of this risk measure and we compare it to the risk measures of Trufin et al. and Loisel and Trufin.

Highlights

  • Over the last few years, several dynamic risk measures, i.e., risk measures based on ruin-theoretic quantities, have been studied

  • In the classical compound Poisson risk model, Trufin et al (2011) considered a VaR-type risk measure defined as the smallest initial capital needed to ensure a certain probability of solvency throughout the lifetime of the surplus process

  • This risk measure has been extended by Mitric and Trufin (2016) who defined a risk measure taking into account both the probability of ruin and the expected deficit at ruin

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Summary

Introduction

Over the last few years, several dynamic risk measures, i.e., risk measures based on ruin-theoretic quantities, have been studied. In the classical compound Poisson risk model, Trufin et al (2011) considered a VaR-type risk measure defined as the smallest initial capital needed to ensure a certain probability of solvency throughout the lifetime of the surplus process. Implementation delays in the recognition of ruin and occupation times of the surplus process have been used as alternative risk management tools to assess the quality of an insurance portfolio In this direction, Guérin and Renaud (2017) introduced the concept of cumulative. Inspired by the risk measure of Trufin et al (2011), they defined a VaR-type risk measure based on cumulative Parisian ruin. We study this VaR-type risk measure based on cumulative Parisian ruin.

Insurance Risk Model
A VaR-type Risk Measure Derived from Cumulative Parisian Ruin
Stochastic Dominance
Properties of the Risk Measure ρe
Relationship with Other Risk Measures
Example
Conclusions
Full Text
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