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

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

=<br />

s∑<br />

∣ ∑ k<br />

l=0<br />

∫ + (<br />

w k<br />

0<br />

p n<br />

l<br />

)<br />

∣<br />

k − l k dF ∣ (8.1)<br />

for n = 0 1 2 which is the sum on each level l <strong>of</strong> the absolute difference between the<br />

probability for a policyholder to be in the level l after n periods and the probability for this<br />

policyholder to be in level l when the stationary state is reached.<br />

We can assume that the convergence to the steady state is acceptable when we reach n 0<br />

such that<br />

d TV p n 0 ≤ (8.2)<br />

for some fixed >0. The convergence could then be checked by computing and analysing<br />

the evolution <strong>of</strong> (8.1) with n.<br />

Example 8.1 (Former compulsory Belgian bonus-malus scale) The convergence <strong>of</strong> the<br />

former compulsory Belgian bonus-malus scale is assessed using the evolution <strong>of</strong><br />

C n = d TV p n <br />

displayed in Figure 8.1. We notice a fast convergence during the first 20 years (C n decreasing<br />

from 0.9 to 0.2) and then a very slow convergence to reach C n

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