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The Esscher Premium Principle: A Criticism*

Published online by Cambridge University Press:  29 August 2014

Benjamin Zehnwirth*
Affiliation:
Macqaric University, Australia
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The Esscher premium principle has recently had some exposure, namely, with the works of Bühlmann (1980) and Gerber (1980).

Bühlmann (1980) devised the principle and coined the name for it within the framework of utility theory and risk exchange. Geruber (1980), on the other hand, gives further insight into the principle by studying it within the realm of forecasting in much the same spirit as credibility theorists forecast premiums. However, there is an important distinction: the choice of loss function.

The present note sets out to criticize this relatively embryonic principle using decision theoretic arguments and indicates that the Esscher premium is essentially a small perturbation of the well established linearized credibility premium Bühlmann (1970).

Let H denote the Esscher premium principle with loading h > o. That is, if X is an observable random variable and Y is a parameter (a risk or a random quantity) to be forecasted then the Esscher premium is given by

That is, H(Y ∣ X) is the Bayes decision rule for estimating Y given the data X relative to the loss function

where a is the estimate of Y, and of course the loading h is greater than zero.

Now, for the clincher. This loss function is nonsensical from the point of view of estimation. It indicates a loss (or error) to the forecaster that is essentially the antithesis of relative loss.

Type
Research Article
Copyright
Copyright © International Actuarial Association 1981

Footnotes

*

The author is grateful to thn organizers of the Risk Theory Conference held at the Mathematisches Forschungsinstitut, Oberwolfach, October 1980. Discussion at the Conference was instrumental to the ideas expressed in this paper.

References

Bühlmann, H. (1970). Mathematical Methods in Bisk Theory. New York: Springer.Google Scholar
Bühlmann, H (1980). An Economic Premium Principle. Astin Bulletin 11, 5260.CrossRefGoogle Scholar
Gerber, H. (1980). Credibility for Esscher Premiums. Mitteilungen der Vereinigung schweizerischer Versicherungsmathematikar 80, 307312.Google Scholar
Jewell, W. S. (1974). Crebible means are exact Bayesian for exponential families. A stin Bulletin 8, 7790.Google Scholar