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Actuarial Modelling of Claim Counts Risk Classification, Credibility ...

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6<br />

Multi-Event Systems<br />

6.1 Introduction<br />

The majority <strong>of</strong> bonus-malus systems in force throughout the world penalize the number <strong>of</strong><br />

reported claims, without taking the cost <strong>of</strong> these claims into account. This can be considered<br />

as a shortcoming, since large claims should intuitively be more severely penalized. The first<br />

part <strong>of</strong> this chapter aims to develop credibility models that allow us to subdivide the claims<br />

into two categories, small and large losses (the extension to more than two categories is<br />

easy). Instead <strong>of</strong> determining a limiting amount to decide whether a loss should be qualified<br />

as large instead <strong>of</strong> small (such a criterion would lead to substantial practical problems, due<br />

to the time needed to evaluate the cost <strong>of</strong> the claim), we distinguish the accidents that caused<br />

property damage only from those that caused bodily injuries. Since the latter cost much more<br />

on average, this approach implicitly integrates the cost <strong>of</strong> the claim in a posteriori premium<br />

corrections. The Bayesian credibility approach turns out to lead to numerical integration. This<br />

is why we favour the linear credibility approach. Linear credibility formulas are developed<br />

to update the expected claim frequencies given past claim histories.<br />

The second part <strong>of</strong> this chapter is devoted to bonus-malus scales with several types <strong>of</strong><br />

events (assuming a Multinomial partitioning scheme). As mentioned above, all the classical<br />

bonus-malus systems are based on a single type <strong>of</strong> event: the occurrence <strong>of</strong> claims at fault,<br />

regardless <strong>of</strong> their severity or whether the policyholders are only partially liable for them.<br />

This over-simplification can be regarded as problematic for commercial purposes: it seems<br />

desirable to integrate the severity <strong>of</strong> the claims and to recognize the partial liability <strong>of</strong> the<br />

policyholder. For example, the bonus-malus system in force in France (studied in Chapter 9)<br />

entails a reduced penalty if the policyholder is only partially liable for the claim.<br />

Prominent examples <strong>of</strong> a posteriori ratemaking mechanisms based on several types <strong>of</strong><br />

events are provided by the experience rating systems in force in North America. These<br />

systems not only incorporate accidents at fault but also elements <strong>of</strong> the policyholders’ driving<br />

record. For instance, the Massachusetts safe driver insurance plan encourages safe driving<br />

<strong>Actuarial</strong> <strong>Modelling</strong> <strong>of</strong> <strong>Claim</strong> <strong>Counts</strong>: <strong>Risk</strong> <strong>Classification</strong>, <strong>Credibility</strong> and Bonus-Malus Systems<br />

S. Pitrebois and J.-F. Walhin © 2007 John Wiley & Sons, Ltd<br />

M. Denuit, X. Maréchal,

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