Easier Algorithms for Aggregate Excess

Abstract
Probabilities for aggregate claims can be calculated from frequency and severity probabilities using the characteristic function algorithm of Heckman-Meyers (1983), but the formulas are somewhat difficult to follow and program. Two easier algorithms are presented below. These are particularly efficient when there are only a small number of claims expected and when the severity distribution is fairly flat, as in many reinsurance situations. Keywords: Claim Size Modeling/Loss Distribution/Increased Limits/Excess of Loss/Reinsurance
Volume
Fall
Page
19-38
Year
1989
Categories
Business Areas
Reinsurance
Aggregate Excess/Stop Loss
Actuarial Applications and Methodologies
Ratemaking
Deductibles, Retentions, and Limits
Business Areas
Reinsurance
Excess (Non-Proportional);
Actuarial Applications and Methodologies
Ratemaking
Increased Limits
Financial and Statistical Methods
Aggregation Methods
Financial and Statistical Methods
Loss Distributions
Publications
Casualty Actuarial Society E-Forum
Authors
Gary G Venter