Abstract
A statistical analysis is performed on natural events which can produce important damages to insurers. The analysis is based on hurricanes which have been observed in the United States between 1954 et 1986. At first, independence between the number and the amount of the losses is examined. Different distributions (Poisson and negative binomial for frequency and exponential, Pareto, and lognormal for severity) are tested. Along classical tests as chi-square, Kolmogorov-Smirnov and non parametric tests, a test with weights on the upper tail of the distribution is used: the Anderson - Darling test. Confidence intervals for the probability of occurrence of a claim and expected frequency for different potential levels of claims and derived. The Poisson lognormal model gives a very good fit to the data.
Reinsurance Research
Volume
21
Page
251
Year
1989
Categories
Financial and Statistical Methods
Extreme Event Modeling
Natural Peril Modeling
Financial and Statistical Methods
Risk Pricing and Risk Evaluation Models
Probability of Ruin
Financial and Statistical Methods
Loss Distributions
Business Areas
Reinsurance
Publications
ASTIN Colloquium