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Optimal Reinsurance Per Event

Authors: Holtsmark, Carl Axel Jean Pierre;

Optimal Reinsurance Per Event

Abstract

Most insurance companies deal with reinsurance. One of the problems they have to solve is: What reinsurance treaty is optimal for their company? Optimal reinsurance for large portfolios has, during the past decades, been given much more attention in the academic world than individual claims have. In this thesis we will investigate the optimal reinsurance contract for the individual claims case. The thesis will start by introducing some basic concepts in reinsurance. There will be a brief explanation of reinsurance mathematics. We will establish mathematical formulations of the different types of reinsurance contracts and the optimality criteria. Then we will see some of the existing literature on the topic and show some own results. This is going to point us toward the optimal reinsurance contract: the non-proportional a x b contract with retention limits a and b where b is infinite. We will introduce the reader to the Panjer recursion. The recursion will be used as a numerical tool to simulate the a x b contract. We will vary different key parameters and see how they affect the criteria and the retention limits. These results will back our assumption of the a x b contract with infinite b as the optimal one.

Country
Norway
Related Organizations
Keywords

Per, Event, Carlo, 330, Reinsurance, Panjer, Optimal, Monte, 510

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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