Thursday, January 2, 2020

The For The Future Liabilities - 985 Words

In general insurance, Insurers make use of data gathered previously out of experience in order to predict the future liabilities. Such an estimate is made through the help of a â€Å"loss function† in decision making, as well as mathematical optimization. It is a common tendency to minimize the loss of the risk models and hence to do so are different methods applicable in today’s statistics. Frequentist expected loss, Bayesian expected loss are mostly used; with Bayesian statistics being the increasingly common methodology in actuarial science. Insurers also make an estimate of the expected claims that arise in the future years, and so they need to hold reserves based on the aggregate claim amount they could face in the near future. Hence one way of doing this is by using the aggregate claim model. Therefore, examining and comparing the different forms of loss distribution that could be used in the aggregate risk model analysis, besides investigating about issues surrou nding the application of Bayesian statistics in such a context. Acknowledgement: I would like to acknowledge my mentor Ms. Preeti Sahay, to have stood as a support for me throughout the project and in providing sufficient information for the project. Introduction: Insurance by nature is an uncertain subject. The Insured events occur at random times, particularly in a general insurance field, thereby the amount of claims are also random. 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