Abstract
In its usual (one-dimensional) form, a loss model is just a distribution of nonnegative real numbers [O, Qo). This note establishes necessary and sufficient conditions for a differentiable function to equal the life expectancy of some loss model. Examples are provided to illustrate the shape of the life expectancy function of several common loss models. The characterization is used to define a general class of loss models flexible enough to cover the Pareto, Lognormal, Weibull, and Gamma densities. Finally, the approach is extended to model multi-dimensional survivorship.
Volume
Winter
Page
341-364
Year
2002
Categories
Financial and Statistical Methods
Loss Distributions
Financial and Statistical Methods
Risk Pricing and Risk Evaluation Models
Financial and Statistical Methods
Statistical Models and Methods
Publications
Casualty Actuarial Society E-Forum