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

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Bonus-Malus Scales 191<br />

4.5.4 Linear Relativities<br />

As demonstrated in the numerical examples with the −1/top, −1/+2 and −1/+3 scales, the<br />

relativities obtained above may exhibit a rather irregular pattern, and this may be undesirable<br />

for commercial purposes. It may therefore be interesting to smooth this scale in order to<br />

obtain relativities which are regularly increasing according to the level. As suggested by<br />

Gilde & Sundt (1989), a linear scale <strong>of</strong> the form r lin<br />

l<br />

= + l l = 0 1s could<br />

then be desirable. Then, Norberg’s maximum accuracy criterion becomes a constrained<br />

minimization:<br />

[ ] ]<br />

min E − r lin<br />

L 2 = min E<br />

[ − − L 2 (4.16)<br />

Setting the derivative <strong>of</strong> the objective function with respect to equal to 0 yields<br />

= E − EL<br />

Doing the same with the derivative <strong>of</strong> the objective function with respect to gives<br />

[<br />

]<br />

0 = E L − − L<br />

= EL − EL − EL 2 <br />

Replacing the value <strong>of</strong> with the expression found above, we get<br />

0 = EL − ELE + EL 2 − EL 2 <br />

= CL − VL<br />

The solution <strong>of</strong> the optimization problem (4.16) is thus given by:<br />

=<br />

CL <br />

VL<br />

and = −<br />

CL <br />

EL (4.17)<br />

VL<br />

The linear relative premium scale is thus <strong>of</strong> the form<br />

where<br />

r lin<br />

l<br />

= 1 +<br />

CL <br />

l − EL<br />

VL<br />

CL = EL − EL<br />

= ∑ s∑<br />

w k lE l k − EL<br />

k l=0<br />

= ∑ s∑ ∫ +<br />

w k l l k dF − EL<br />

k l=0<br />

0

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