Dergiler / Hacettepe Journal of Mathematics and Statistics / 2016 / Cilt: 45 - Sayı: 2

Optimal stop-loss reinsurance: a dependence analysis

Sayfa
497–519
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Secondly, the optimal stop-loss contract is obtained if the criterion used is the maximization of the joint survival probability of the insurer and the reinsurer in one period.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The stop-loss reinsurance is one of the most important reinsurance contracts in the insurance market.
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Temel Bulgular & Veri:From the insurer point of view, it presents an interesting property: it is optimal if the criterion of minimizing the variance of the cost of the insurer is used.
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Sonuç & Katkı:Secondly, the optimal stop-loss contract is obtained if the criterion used is the maximization of the joint survival probability of the insurer and the reinsurer in one period.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Stop-loss premium · Survival probabilities · Reinsurance

Abstract

The stop-loss reinsurance is one of the most important reinsurance contracts in the insurance market. From the insurer point of view, it presents an interesting property: it is optimal if the criterion of minimizing the variance of the cost of the insurer is used. The aim of the paper is to contribute to the analysis of the stop-loss contract in one period from the point of view of the insurer and the reinsurer. Firstly, the influence of the parameters of the reinsurance contract on the correlation coefficient between the cost of the insurer and the cost of the reinsurer is studied. Secondly, the optimal stop-loss contract is obtained if the criterion used is the maximization of the joint survival probability of the insurer and the reinsurer in one period.

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Bu Makaleye Atıf Yap

Castañer, A., Claramunt, M. M. (2022). Optimal stop-loss reinsurance: a dependence analysis. Hacettepe Journal of Mathematics and Statistics, Cilt: 45 - Sayı: 2, 497–519. https://ajindex.com/articles/530161

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Kaynakça (14)

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