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

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Transient Maximum Accuracy Criterion 301<br />

Table 8.4 Evolution <strong>of</strong> the transient relativities for the bottom initial distribution for the former<br />

compulsory Belgian bonus-malus scale.<br />

Level l<br />

r 0<br />

l<br />

r 10<br />

l<br />

r 20<br />

l<br />

r 30<br />

l<br />

r 40<br />

l<br />

r 50<br />

l<br />

r l<br />

22 00 % 3049 % 2902 % 2818 % 2774 % 2750 % 2715%<br />

21 00 % 2681 % 2629 % 2566 % 2529 % 2508 % 2474%<br />

20 00 % 2429 % 2402 % 2361 % 2334 % 2318 % 2291%<br />

19 00 % 2075 % 2240 % 2215 % 2189 % 2172 % 2141%<br />

18 00 % 1901 % 2071 % 2066 % 2050 % 2038 % 2014%<br />

17 00 % 1776 % 1929 % 1933 % 1926 % 1919 % 1903%<br />

16 00 % 1813 % 1841 % 1827 % 1819 % 1814 % 1803%<br />

15 00 % 1866 % 1788 % 1745 % 1729 % 1722 % 1714%<br />

14 00 % 1408 % 1607 % 1633 % 1637 % 1636 % 1631%<br />

13 00 % 1482 % 1566 % 1562 % 1557 % 1554 % 1549%<br />

12 00 % 1341 % 1513 % 1499 % 1486 % 1480 % 1472%<br />

11 00 % 1426 % 1493 % 1455 % 1430 % 1417 % 1402%<br />

10 00 % 1486 % 1474 % 1419 % 1384 % 1364 % 1340%<br />

9 00 % 1153 % 1293 % 1285 % 1272 % 1264 % 1255%<br />

8 00 % 1223 % 1263 % 1231 % 1206 % 1192 % 1173%<br />

7 00 % 1255 % 1203 % 1185 % 1158 % 1140 % 1114%<br />

6 00 % 1268 % 1181 % 1152 % 1120 % 1099 % 1067%<br />

5 00 % 1270 % 1159 % 1122 % 1087 % 1064 % 1028%<br />

4 00% 994% 920% 884% 861% 847% 826%<br />

3 00% 981% 901% 863% 839% 824% 802%<br />

2 00% 966% 848% 838% 816% 801% 778%<br />

1 00% 950% 827% 816% 794% 779% 755%<br />

0 00% 566% 498% 475% 465% 460% 451%<br />

that even if the ultimate distribution <strong>of</strong> the policyholders in the scale is the same whatever<br />

the initial distributions, the transient relativities are affected by these distributions. Starting<br />

with a uniform distribution <strong>of</strong> the policyholders in the scale (Table 8.2), the r n<br />

l<br />

s increase<br />

to the r l s for levels 1 to 22, and they decrease to the limit for l = 0. The same phenomenon<br />

arises when starting with the top distribution (Table 8.3), but the difference between the<br />

r 10<br />

l<br />

s and the asymptotic r l s is now larger. On the contrary, if the bottom distribution is used<br />

(Table 8.4) then the r n<br />

l<br />

s decrease to their limit r l .<br />

The relativities ¯r l computed using (8.6) are given in Table 8.5 according to the initial<br />

distribution <strong>of</strong> the policyholders in the scale and for a uniform distribution <strong>of</strong> age <strong>of</strong> policy<br />

over 50 years, that is, a n = 1/50 for n = 150. For the sake <strong>of</strong> completeness, the steady<br />

state relativities are displayed in the last column. When a uniform initial distribution <strong>of</strong> the<br />

policyholders is used, the relativities based on the transient maximum accuracy criterion are<br />

smaller than the steady state relativities, except for level 0. This is the case for all levels if<br />

the top distribution is assumed. On the contrary, if the bottom distribution is used then the<br />

¯r l s are larger than the corresponding r l s.<br />

In order to figure out the impact <strong>of</strong> the maturity <strong>of</strong> the portfolio on the relativities,<br />

we considered two alternative age structures to the uniform age <strong>of</strong> policy distribution<br />

used so far. The three distributions (henceforth referred to as mature, young and old

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