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Rahim Mahmoudvand

Rahim Mahmoudvand

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 35146363700
HIndex:
Faculty: Faculty of Science
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Research

Title
Determining Retention Limits in Reinsurance Using Bayesian Approach
Type
Presentation
Keywords
Reinsurance, Retention Limits, Bayesian Approach, Value at Risk.
Year
2017
Researchers Rahim Mahmoudvand

Abstract

A popular method for finding retention limit in reinsurance treaties, is to find retention M that optimizes a risk measure. But the risk measure is a function of the parameters of the loss distribution. These parameters can be considered in Bayesian framework imply variable M. This paper consider the possibility of using Bayesian approach for finding retention limits in reinsurance treaties.