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

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54 <strong>Actuarial</strong> <strong>Modelling</strong> <strong>of</strong> <strong>Claim</strong> <strong>Counts</strong><br />

10000<br />

9000<br />

8000<br />

Number <strong>of</strong> policyholders<br />

7000<br />

6000<br />

5000<br />

4000<br />

3000<br />

2000<br />

1000<br />

0<br />

1 2 3 4 5 6 7 8 9 10 11 12<br />

Months<br />

Figure 2.1 Exposure-to-risk in Portfolio A.<br />

2.2.4 One-Way Analyses<br />

Age<br />

The age structure <strong>of</strong> the portfolio is described in Figure 2.2. Most policyholders are middleaged<br />

as 6722 insured drivers (representing 46.4 % <strong>of</strong> the portfolio) are between 31 and 60.<br />

Only 802 insured drivers (representing 5.8 % <strong>of</strong> the portfolio) are over 60. The young drivers<br />

represent 15.3 % <strong>of</strong> the portfolio (2295 policyholders) and the remaining 4686 insured drivers<br />

(32.5 % <strong>of</strong> the portfolio) are between 25 and 30.<br />

In the preliminary descriptive analysis, the actuary considers the marginal impact <strong>of</strong> each<br />

rating factor. The possible effect <strong>of</strong> the other explanatory variables is thus disregarded.<br />

Let us assume for a while that the claim frequencies only depend on Age. If the<br />

occurrence <strong>of</strong> the claims filed by the policyholders conforms with a Poisson process, the<br />

number N i <strong>of</strong> claims reported by policholder i obeys the Poisson distribution with mean<br />

d i Agei , where d i is the exposure-to-risk (i.e., the length <strong>of</strong> the coverage period) for<br />

policyholder i, Agei is the age category to which policyholder i belongs (1, 2, 3 or<br />

4) and the j s, j = 1 2 3 4, are the annual expected claim frequencies for the 4 age<br />

classes.

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