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Etude des marchés d'assurance non-vie à l'aide d'équilibres de ...

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tel-00703797, version 2 - 7 Jun 2012<br />

2.4. Dynamic framework<br />

An interesting feature of these random paths is that a cyclic pattern is observed for the<br />

market individual premium mt, strong correlations of gross written premiums GWPj,t and<br />

loss ratio LRj,t for each insurer j. We fit a basic second-or<strong>de</strong>r autoregressive mo<strong>de</strong>l on market<br />

premium (i.e. Xt − m = a1(Xt−1 − m) + a2(Xt−2 − m) + ɛt) ∗ . Estimation on the serie (mt)t<br />

leads to period of 11.01 and 9.82 years, respectively for Figures 2.1 and 2.2.<br />

Figure 2.1: A random path for NBLN loss mo<strong>de</strong>l and ˜ fj<br />

Furthermore, this numerical application shows that insurers set premium well above the<br />

pure premium E(Y ) = 1. Thus, the insurer capitals tend to infinite as we observe on the<br />

(bottom right) plot of the solvency coverage ratio. We also do the computation of PLN/NBLN<br />

loss mo<strong>de</strong>ls with the sensitivity function ¯ fj. Similar comments apply, see Appendix 2.6.2.<br />

Some Monte-Carlo estimates<br />

In this subsection, we run the repeated game a certain of times with the NBLN loss mo<strong>de</strong>l<br />

and the price sensitivity function ˜ fj in or<strong>de</strong>r to assess certain indicators by a Monte-Carlo<br />

method. We choose a sample size of 214 ≈ 16000 and a time horizon T = 20. Our indicators<br />

are: (i) the ruin probability of insurer j before time T and (ii) the probability a lea<strong>de</strong>r at time<br />

T , where T = T/2 or T .<br />

Results are given in Table 2.10. Estimates of ruin probabilities are extremely low, because<br />

the safety loadings of equilibrium premium are very high, see previous Figures. Lea<strong>de</strong>rship<br />

probabilities are more interesting. Recalling that Insurer 1 is the lea<strong>de</strong>r at time 0, the probability<br />

for Insurer 1 to be lea<strong>de</strong>r after t periods <strong>de</strong>creases quickly as t increases. After only 20<br />

periods, Insurer 1 has losed its initial advantage.<br />

Then, we look at the un<strong>de</strong>rwriting result by policy to see if some insurers un<strong>de</strong>rwrite a<br />

<strong>de</strong>liberate loss. As the first quartile is above zero, we observe that negative un<strong>de</strong>rwriting<br />

∗. When a2 < 0 and a 2 1 + 4a2 < 0, the AR(2) is p-periodic with p = 2π arccos<br />

a1<br />

2 √ −a2<br />

<br />

.<br />

121

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