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dc.contributor.authorMaina, Catherine Wachera
dc.date.accessioned2019-05-07T11:14:25Z
dc.date.available2019-05-07T11:14:25Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/11071/6473
dc.descriptionA Research project submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Science in Actuarial Science at Strathmore Universityen_US
dc.description.abstractThe whole world has noted an unmatched reduction in the mortality rates and Kenya is no exception. These on-going improvements have brought out the need of mortality forecasting for annuitants as well as pensioners in order to prevent insolvency. This has compelled academicians and actuaries to focus their interest in the particular field of mortality and longevity risk. Appropriate modelling techniques or projected life tables are needed for pricing and reserving. In pa1ticular the use of stochastic models which take into account various risk causes and components and the relevant impact on portfolio results as opposed to deterministic models that were only based on expected present value. This study extends the literature by using the Lee-Carter method to forecast mortality risk for life insurance companies. The main focus of this paper will be to determine the uncertainty associated with future mortality and how it impacts on the overall risk assessment of Life Insurance companies in developing countries. Using the Lee-Carter proposed by Lee-Carter in 1992 to fit mortality rates, I forecasted future mortality trends using the past trends in mortality rates. I then determined the impact that the mortality trends have on life insurance companies. This results show that improved longevity has a big impact on the cash flows of life insurance companies since they affect the Actuarial Present Value.en_US
dc.language.isoen_USen_US
dc.publisherStrathmore Universityen_US
dc.subjectLongevityen_US
dc.subjectInsuranceen_US
dc.subjectMortalityen_US
dc.titleImpact of longevity improvements on life insurance companies: a study of Taiwanen_US
dc.typeThesisen_US


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