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Optimization of dividend payouts and reinsurance policies under a set ruin probability target

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dc.creator Kasumo, Christian
dc.date 2019-06-07T06:14:40Z
dc.date 2019-06-07T06:14:40Z
dc.date 2019-03
dc.date.accessioned 2022-10-25T09:15:31Z
dc.date.available 2022-10-25T09:15:31Z
dc.identifier http://dspace.nm-aist.ac.tz/handle/123456789/308
dc.identifier.uri http://hdl.handle.net/123456789/94544
dc.description A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Applied Mathematics and Computational Science of the Nelson Mandela African Institution of Science and Technology
dc.description This dissertation is devoted to the mathematical investigation of the topic: Optimization of Dividend Payouts and Reinsurance Policies under a Set Ruin Probability Target. Its purposes are, first, to determine the optimal reinsurance and dividend policies for an insurance company whose surplus is modelled by a diffusion-perturbed classical risk process and, second, to determine the reinsurance and dividend strategies under a set ruin probability target. The dissertation concerns itself with three aspects of risk theory: (a) minimization of infinite ruin probability, which resulted in one published journal paper; (b) maximization of dividend payments, resulting in a second published paper; and (c) computing optimal dividend barriers based on set ruin probability targets, whose research paper is still in draft form. All three papers are based on a diffusion-perturbed classical risk process compounded by quota-share and excess-of-loss reinsurance. By means of the dynamic programming approach and the application of Itˆo’s formula, the Hamilton-Jacobi-Bellman (HJB) equations for the optimization problems were derived. Additionally, the corresponding second-order Volterra integrodifferential equations (VIDEs) were obtained. These VIDEs were then transformed into Volterra integral equations (VIEs) of the second kind which were subsequently solved using the fourth-order block-byblock method based on Simpson’s Rule to determine the optimal value functions. The results of the problem of minimizing the ruin probability show that the optimal reinsurance policy is (k ; a ) = (0;1), where k and a are, respectively, the optimal retention levels for quotashare and excess-of-loss reinsurance. This applies to both the Cram´er-Lundberg (CLM) and diffusion-perturbed models (DPM). For the dividend maximization problem, results indicate that for the CLM the optimal reinsurance policy is (k ; a ) = (1;1) for small claims and (k ; a ) = (1; 10) for large claims. The optimal dividend barrier levels for small and large claims in the CLM, respectively, are b = 10:27 and b = 9:35. For the DPM, the optimal reinsurance policy is the same as for the CLM, with optimal dividend barriers b = 12:35 for small claims and b = 11:50 for large claims. This means higher optimal dividend barriers should be used for small claims than for large ones. With regard to ruin probability targets, results show that the optimal dividend barrier increases as the ruin probability reduces.
dc.format application/pdf
dc.language en_US
dc.publisher NM-AIST
dc.subject Research Subject Categories
dc.title Optimization of dividend payouts and reinsurance policies under a set ruin probability target
dc.type Thesis


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