Iterative Adjustment of Survival Functions by Composed Probability Distortions

Alexis Bienvenüe and Didier Rulliere ()
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Alexis Bienvenüe: Laboratoire SAF, Institut de Science Financière et d’Assurances, Université de Lyon, Université Lyon 1, EA 2429, 50 Avenue Tony Garnier, Lyon F-69007, France. E-mails: Alexis.Bienvenue@univ-lyon1.fr; Didier.Rulliere@univ-lyon1.fr

The Geneva Risk and Insurance Review, 2012, vol. 37, issue 2, 156-179

Abstract: We introduce a parametric class of composite probability distortions that can be combined to converge to a target survival function. These distortions respect analytic invertibility and stability, which are shown to be relevant in many actuarial fields. We study the asymptotic impact of such distortions on hazard rates. The paper provides an estimation methodology, including hints for initialisation. Some applications to survival data bring results for catastrophic event impact modelling. We also obtain accurate parametric representations of the mortality trend over years. Finally, we suggest a prospective mortality simulation model that comes naturally from the above analysis.

Date: 2012
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Citations: View citations in EconPapers (7)

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