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Author
Safari-Katesari Hadi (Department of Mathematics, Southern Illinois University, Carbondale, USA), Zaroudi Samira (Department of Mathematics, Southern Illinois University, Carbondale, USA)
Title
Count Copula Regression Model using Generalized Beta Distribution of the Second Kind
Source
Statistics in Transition, 2020, vol. 21, nr 2, s. 1-12, rys., tab., bibliogr. s. 10-12
Keyword
Składki ubezpieczeniowe, Modele regresji, Ubezpieczenia od szkód materialnych, Rozkład uogólniony, Funkcje połączeń
Insurance premium, Regression models, Property damage insurance, Generalised distribution, Copula Functions
Note
summ.
Abstract
Modelling claims severity for obtaining insurance premium is one of the major concerns of the insurance industry. There is a considerable amount of literature on the actuarial application of the copula model to calculate the pure premium. In this paper, we model claims severity for computing the pure premium in the collision market by means of the count copula model. Moreover, we apply a regression model using a generalized beta distribution of the second kind (GB2) to compute the premium for an average claim and the conditional computation for all coverage levels. Like many other researchers, we assume that the number of accidents is independent from the size of claims. For real data application, we use a portfolio of a major automobile insurer in Iran in 2007-2008, with a subsample of 59,547 policies available in their portfolio. We then proceed to compare the estimated premiums with the real premiums. The results demonstrate that there is strong positive dependency between the real premium and the estimated one. (original abstract)
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The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
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Bibliography
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ISSN
1234-7655
Language
eng
URI / DOI
http://dx.doi.org/10.21307/stattrans-2020-011
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