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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 />

estimated periods: average period is around 10.<br />

market premium m_t<br />

1.3 1.4 1.5 1.6 1.7 1.8<br />

market premium<br />

0 5 10 15 20<br />

time t<br />

Q5%<br />

Q50%<br />

Q95%<br />

path 1<br />

path 2<br />

Frequency<br />

0 1000 2000 3000 4000 5000<br />

Figure 2.3: Market premium<br />

Histogram of cycle periods<br />

Period (years)<br />

2.5. Conclusion<br />

6 8 10 12 14 16 18 20<br />

Finally, on a short time horizon, T = 5, we want to assess the impact of initial portfolio<br />

size nj,0 and capital value Kj,0 on the probability to be lea<strong>de</strong>r at time T . We consi<strong>de</strong>r Insurer<br />

1 as the lea<strong>de</strong>r and Insurers 2 and 3 as i<strong>de</strong>ntical competitors. We take different values of<br />

K1,0 and n1,0 for Insurer 1 and <strong>de</strong>duce capital values and portfolio sizes for Insurers 2 and 3<br />

as K2,0 = K3,0 = k0σ(Y ) √ n2,0 and n2,0 = n3,0 = (n − n1,0)/2, where k0 is a fixed solvency<br />

coverage ratio. The sensitivity analysis consists in increasing both market shares and capital<br />

values of Insurer 1 while other competitors have a <strong>de</strong>creasing market share and a constant<br />

coverage ratio.<br />

We look at the probability for insurer i to be a lea<strong>de</strong>r in terms of gross written premium<br />

at period T = 5, i.e.<br />

pi = P (∀k = i, GWPi,T > GWPk,T |Ni,0 = ni, Ki,0 = ki).<br />

We test two loss mo<strong>de</strong>ls NBLN and PGLN, for which the margingal claim distribution is a<br />

compound negative binomial distribution with lognormal distribution, but for PGLN, the loss<br />

frequency among insurers is comonotonic, see Subsection 2.2.2.<br />

On Figures 2.4, we observe the probability to a lea<strong>de</strong>r after five periods is an increasing<br />

function of the initial market share. The initial capital does not seem to have any influence,<br />

which can be explained by the high profit per policy. As one could expect, the comonotonic<br />

loss mo<strong>de</strong>l (Figure 2.4b) is favorable to Insurer 1 than the in<strong>de</strong>pen<strong>de</strong>nt case (Figure 2.4a).<br />

2.5 Conclusion<br />

This paper assesses the suitability of <strong>non</strong>cooperative game theory for insurance market<br />

mo<strong>de</strong>lling. The game-theoretic approach proposed in this paper gives first answers of the<br />

effect of competition on the insurer solvency whose a significant part is linked to the ability<br />

of insurers to sell contracts. The proposed game mo<strong>de</strong>ls a rational behavior of insurers in<br />

setting premium taken into account other insurers. The ability of an insurer to sell contracts<br />

123

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