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A Note On The Multiplicative Ratemaking Model

Published online by Cambridge University Press:  29 August 2014

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The multiplicative ratemaking, model we have in mind is the following one. Within a certain branch of insurance we have, say for simplicity, two tarif arguments U and V. For example, in motor insurance we could think of U and V as being make of car and geographical district respectively. In fire insurance U could be class of construction for buildings and V could relate to fire defense capacities.

The arguments are of a qualitative nature and argument U has r levels, while argument V has k levels. To our disposal we have statistical experience of the business for a certain period of time, consisting of

—risk exposures nij (i = 1 … r, j = 1 … k).

Risk exposure nij thus corresponds to the ith U-level and the jth V-level. It could be e.g. number of policy years or sum insured during the period of observation for objects belonging simultaneously to U-level i and V-level j.

The nijS are known non-random quantities.

—(relative) risk measures pij(i = 1 … r, j = 1 …k).

Risk measure pij could be e.g. claims frequency, i.e. number of Claims divided by number of policy years, or claims cost per policy year or claims cost as a percentage of sum insured. In general pij is thus the observed number or the observed amount of claims belonging simultaneously to U-level i and V-level j, divided by the corresponding risk exposure nij.

Type
Research Article
Copyright
Copyright © International Actuarial Association 1975

References

[1]Almer, B. (1957), Risk Analysis in Theory and practical statistics, 15th International Congress of Actuaries, Vol. 2.Google Scholar
[2]Almer, B. (1962), “Individual Risk Theory and Risk statistics as applied to Fire Insurance”, The ASTIN Bulletin, Vol. II, Part III.Google Scholar
[3]Andreasson, G. and Wenander , M.-L. (1970), Modifications in the Multiplicative Ratemaking Model Program. Unpublished stencile.Google Scholar
[4]Bailey, R. A. and Simon, L. J. (1960), “Two Studies in Automobile Insurance Ratemaking”, The ASTIN Bulletin, Vol. I, Part IV.Google Scholar
[5]Boehm, C., Klingen, N. and Mehring, J. (1968), Ein maschinelles Verfahren für Statistik- und Tarifaufgaben, 18. Internationaler Kongress der Versicherungsmathematiker, Band II.Google Scholar
[6]Jung, J. (1965), “On Automobile Insurance Ratemaking,” The ASTIN Bulletin, Vol. V, Part I.Google Scholar
[7]Mehring, J. (1964), Ergebnisse einer Stichprobenuntersuchung in der deutschen Kraftfahrt — Haftpflichtversicherung, 17th International Congress of Actuaries, Vol. III, Part II.Google Scholar
[8]Seal, H. L. (1968), The Use of Multiple Regression in Risk Classification Based on Proportionate Losses, 18. Internationaler Kongress der Versicherungsmathematiker, Band II.Google Scholar