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On the analysis of a multi-threshold Markovian risk model
Authors:Andrei Badescu  Steve Drekic
Institution:1. Department of Statistics , University of Toronto , Toronto, Ontario, M5S 363, Canada;2. Department of Statistics and Actuarial Science , University of Waterloo , Waterloo, Ontario, N2L 361, Canada
Abstract:We consider a class of Markovian risk models perturbed by a multiple threshold dividend strategy in which the insurer collects premiums at rate c i whenever the surplus level resides in the i-th surplus layer, i=1, 2, …,n+1 where n<∞. We derive the Laplace-Stieltjes transform (LST) of the distribution of the time to ruin as well as the discounted joint density of the surplus prior to ruin and the deficit at ruin. By interpreting that the insurer, whose gross premium rate is c, pays dividends continuously at rate d i =c?c i whenever the surplus level resides in the i-th surplus layer, we also derive the expected discounted value of total dividend payments made prior to ruin. Our results are obtained via a recursive approach which makes use of an existing connection, linking an insurer's surplus process to an embedded fluid flow process.
Keywords:Sparre Andersen risk model  Phase-type distribution  Markovian arrival process  Laplace-Stieltjes transform  Correlated claims  Surplus process  Fluid queues
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