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Application of Generalized Pareto in Non-Life Insurance

Research Authors
Mohamed Hanafy
Research Date
Research Journal
Journal of Financial Risk Management
Research Member
Research Website
10.4236/jfrm.2020.93018
Research Year
2020
Research_Pages
334:354
Research Abstract

This paper focuses on the modeling and estimation of tail loss distribution parameters from Egyptian’s commercial fire loss severities. Using theoretical extreme value, we use the generalized distribution of Pareto (GPD) and compare it to standard parametric modeling based on exp, Weibull, gumbel, frechet, lognormal and gamma distributions. The goodness-of-fit tests included Kolmogorov-Smirnov, Anderson and Cramer-von Mises test is carried out, and the calculation of the value-at-risk and expected shortfall are performed. We use the bootstrap approach to create confidence intervals for the estimates.