Mathematical and Statistical Methods for Actuarial Sciences and Finance 2010
DOI: 10.1007/978-88-470-1481-7_6
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What do distortion risk measures tell us on excess of loss reinsurance with reinstatements?

Abstract: In this paper we focus our attention on the study of an excess of loss reinsurance with reinstatements, a problem previously studied by Sundt and, more recently, by Mata and Hurlimann. It is well known that the evaluation of pure premiums requires knowledge of the claim size distribution of the insurance risk: in order to face this question, different approaches have been followed in the actuarial literature. In a situation of incomplete information in which only some characteristics of the involved elements a… Show more

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Cited by 2 publications
(2 citation statements)
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“…The excess of loss reinsurance model we study in this paper is related to the model that has been originally proposed and analyzed by Sundt [9] and that it has been subsequently generalized (see [1] and [3]). Given the initial premium P , the limit on the payment of each claim m, the number of reinstatements K (such that the aggregate limit M satisfies M = (K + 1)m), the aggregate deductible D, the percentages of reinstatement c i , (i = 1, .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The excess of loss reinsurance model we study in this paper is related to the model that has been originally proposed and analyzed by Sundt [9] and that it has been subsequently generalized (see [1] and [3]). Given the initial premium P , the limit on the payment of each claim m, the number of reinstatements K (such that the aggregate limit M satisfies M = (K + 1)m), the aggregate deductible D, the percentages of reinstatement c i , (i = 1, .…”
Section: Introductionmentioning
confidence: 99%
“…Recently (see [3]) we studied the initial risk adjusted premium P as solution of the equilibrium condition expressing the fact that the value of the total premium income δ(P ) equals the distorted expected value of the aggregate claims S, that is…”
Section: Introductionmentioning
confidence: 99%