Abstract
For some time now, the convenient and fast calculability of collective risk models using the Panjer-algorithm has been a well-known fact, and indeed practitioners almost always make use of collective risk models in their daily numerical computations. In doing so, a standard link has been preferred for relating such calculations to the underlying heterogeneous risk portfolio and to the approximation of the aggregate claims distribution function in the individual risk model. In this procedure until now, the approximation quality of the collective risk model upon which such calculations are based is unknown. It is proved that the approximation error which arises does not converge to zero if the risk portfolio in question continues to grow. Therefore, necessary and sufficient conditions are derived in order to obtain well-adjusted collective risk models which supply convergent approximations. Moreover, it is shown how in practical situations the previous natural link between the individual and the collective risk model can easily be modified to improve its calculation accuracy. A numerical example elucidates this.
KEYWORDS Individual risk model; collative risk model; modified natural approximation; aggregate claims distribution; Berry-Esseen bound.
Volume
23:1
Page
23-54
Year
1994
Categories
Financial and Statistical Methods
Aggregation Methods
Collective Risk Model
Financial and Statistical Methods
Aggregation Methods
Panjer
Financial and Statistical Methods
Loss Distributions
Publications
ASTIN Bulletin