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Activity Number: 512 - Predicting and Evaluating Risk Models Within Distributions and Across Time
Type: Contributed
Date/Time: Wednesday, July 31, 2019 : 10:30 AM to 12:20 PM
Sponsor: Section on Risk Analysis
Abstract #304141
Title: Comparison of Some Approximations to the Distribution of Random Sum
Author(s): Ranee Thiagarajah*
Companies: Illinois State University
Keywords: Approximation Methods; Random Sum; Compound Distributions; Tail probability
Abstract:

A number of approximations to the distribution of random sum have been discussed in the literature. This topic is of high interest, especially in the field of actuarial science. For example, actuaries are interested in modelling total amount paid in all claims occurring in a fixed time period on a group of insurance policies. For most combinations of claim counts and claim size distributions, the exact distribution of aggregate claims is not available analytically. In this situation, one is bound to use suitable approximation methods. For judging the goodness of the approximations in this context, the relative errors may be considered. In this paper, we have considered several distributions for the random sum, and made numerical comparisons with the exact results in terms of relative errors. The exact results are obtained through simulations.


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