A mathematical model of the optimal premium policy of an insurance firm with delay
dc.contributor.author | Mwale, Moses | |
dc.date.accessioned | 2019-11-02T07:13:25Z | |
dc.date.accessioned | 2020-01-07T15:55:21Z | |
dc.date.available | 2019-11-02T07:13:25Z | |
dc.date.available | 2020-01-07T15:55:21Z | |
dc.date.issued | 2013 | |
dc.description | Available in print copy | en_US |
dc.description.abstract | In this work, we study the optimization problem confronted by an insurance firm whose management can control its cash-balance dynamics by adjusting the under- lying premium rate. The firm’s objective is to minimize the total deviation of its cash-balance process to some pre-set target levels by selecting an appropriate pre- mium policy. We study the problem in a general framework and make two interesting inclusions; Firstly, we introduce the aspect of time delay to the system; and we replace the stan- dard expected additive utility function with a Stochastic differential utility (SDU). We reformulate the problem and obtain a semi coupled Forward-Backward Stochas- tic Differential Equation and prove that this forward-backward system admits a unique solution. The Sufficient Maximum Principle for an optimal control of such a system is established and we conclude with a case study of three particular cases which fit into our general model. Some concluding remarks are also given. | en_US |
dc.identifier.citation | Mwale, M.(2013).A mathematical model of the optimal premium policy of an insurance firm with delay. Master dissertation, University of Dar es Salaam. Available at (http://41.86.178.3/internetserver3.1.2/search.aspx?formtype=advanced) | en_US |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/2663 | |
dc.language.iso | en | en_US |
dc.publisher | University of Dar es Salaam | en_US |
dc.subject | insurance premium | en_US |
dc.subject | Mathematical models | en_US |
dc.title | A mathematical model of the optimal premium policy of an insurance firm with delay | en_US |
dc.type | Thesis | en_US |