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In the field of life insurance and pension, calculating reserves is a necessity to <br /> <br /> <br /> anticipate unexpected insurance policy claims in the future. Calculating insurance <br /> <br /> <br /> reserves consider the risk of the policyholder’s...

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Bibliographic Details
Main Author: ARYA (NIM: 10113035), EMMANUEL
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/21944
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:In the field of life insurance and pension, calculating reserves is a necessity to <br /> <br /> <br /> anticipate unexpected insurance policy claims in the future. Calculating insurance <br /> <br /> <br /> reserves consider the risk of the policyholder’s death (which is modeled in the <br /> <br /> <br /> disability model) and the risk of the policy expiry (which is modeled in the <br /> <br /> <br /> behavioral model). The combination of those models will form a new model called <br /> <br /> <br /> the ’combination model’. Modeling those mathematical models can be done by <br /> <br /> <br /> using the Markov chain approach. The advantage of using this approach is the <br /> <br /> <br /> Markov chain’s ability to consider more than one state for each model. By using <br /> <br /> <br /> Markov chain model, the calculation of insurance reserves is expected to be more <br /> <br /> <br /> accurate. Some cases regarding the policy and disability status will be in sight, so <br /> <br /> <br /> the impact to reserves calculation can be observed.