Stéphane Loisel () (SAF - EA2429 - Laboratoire de Science Actuarielle et Financière - Université Claude Bernard - Lyon I) Christian Mazza () (Département de Mathématiques - Université de Fribourg) Didier Rullière () (SAF - EA2429 - Laboratoire de Science Actuarielle et Financière - Université Claude Bernard - Lyon I)
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We consider the classical risk model and carry out a sensitivity and robustness analysis of finite-time ruin probabilities. We provide algorithms to compute the related influence functions. We also prove the weak convergence of a sequence of empirical finite-time ruin probabilities starting from zero initial reserve toward a Gaussian random variable. We define the concepts of reliable finite-time ruin probability as a Value-at-Risk of the estimator of the finite-time ruin probability. To control this robust risk measure, an additional initial reserve is needed and called Estimation Risk Solvency Margin (ERSM). We apply our results to show how portfolio experience could be rewarded by cut-offs in solvency capital requirements. An application to catastrophe contamination and numerical examples are also developed.
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Length: Date of creation: 2006 Date of revision: Handle: RePEc:hal:papers:hal-00168714_v1
Note: View the original document on the main archive server: http://hal.archives-ouvertes.fr/hal-00168714/en/ Contact details of provider: Web page: http://hal.archives-ouvertes.fr/
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