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

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<strong>Credibility</strong> Models for <strong>Claim</strong> <strong>Counts</strong> 125<br />

A priori (i.e. at time t = 0 for a policyholder without any claim record), the actuary is not<br />

able to distinguish between good and bad drivers. The expected number <strong>of</strong> claims is then<br />

given by<br />

PrGood G + PrBad B = 009<br />

Considering a policyholder who reported k claims during the first year, it is nevertheless<br />

possible to compute the probability that he is a good driver: calling upon Bayes’ Theorem<br />

yields<br />

PrGoodk claims =<br />

=<br />

Prk claimsGood PrGood<br />

Prk claimsGood PrGood + Prk claimsBad PrBad<br />

exp− G k G PrGood<br />

exp− G k G PrGood + exp− B k B PrBad <br />

We get the values listed in Table 3.1 for increasing ks. Clearly, these probabilities are<br />

decreasing with the number <strong>of</strong> claims reported. If the policyholder does not report any claim<br />

during the first year, then the probability that he is a good driver is increased from 60 %<br />

a priori to 62.37 % a posteriori. As soon as one claim is reported during the first year,<br />

this probability decreases from 60 % a priori to 35.59 % a posteriori. The more claims are<br />

reported, the less likely that the policyholder is a good driver. The a posteriori probability <strong>of</strong><br />

being a good driver remains nevertheless positive whatever the number <strong>of</strong> claims reported<br />

to the insurance company.<br />

A posteriori (i.e. at time t = 1), the actuary knows the number k <strong>of</strong> claims reported by the<br />

policyholder during the year and should incorporate this additional information in the price<br />

list. Specifically, if k claims have been reported, the expected number <strong>of</strong> claims for year<br />

two is<br />

PrGoodk claims G + PrBadk claims B <br />

The claim record <strong>of</strong> the policyholder thus modifies the weights assigned to G and B . The<br />

values <strong>of</strong> the expected number <strong>of</strong> claims for year two according to the number k <strong>of</strong> claims<br />

Table 3.1 Expected numbers <strong>of</strong> claims for year two in the good driver/bad driver<br />

model given the number k <strong>of</strong> claims reported during the first year.<br />

# <strong>of</strong> claims k<br />

reported during<br />

year 1<br />

PrGoodk<br />

claims (%)<br />

PrBadk<br />

claims (%)<br />

Expected<br />

number <strong>of</strong><br />

claims for year 2<br />

0 6237 3763 00876<br />

1 3559 6441 01144<br />

2 1555 8445 01344<br />

3 578 9422 01442<br />

4 200 9800 01480<br />

5 068 9932 01493

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