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Statistical tools for non-life insurance

Authors: Antonio, K.;

Statistical tools for non-life insurance

Abstract

Within the actuarial profession a major challenge can be found in the construction of a fair tariff structure. In light of the heterogeneity within, for instance, a car insurance portfolio, an insurance company should not apply the same premium for all insured risks. Otherwise the so-called concept of adverse selection will undermine the solvability of the company. 'Good' risks, with low risk profi les, pay too much and leave the company, whereas 'bad' risks are attracted by the (for them) favorable tariff. The idea behind risk classification is to split an insurance portfolio into classes that consist of risks with a similar profile and to design a fair tariff for each of them. Classification variables typically used in motor third party liability insurance are the age and gender of the policyholder and the type and use of their car.

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Netherlands
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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