Etude des marchés d'assurance non-vie à l'aide d'équilibre de Nash et de modèle de risques avec dépendance

Abstract : In non-life actuarial mathematics, different quantitative aspects of insurance activity are studied.This thesis aims at explaining interactions among economic agents, namely the insured,the insurer and the market, under different perspectives. Chapter 1 emphasizes how essentialthe market premium is in the customer decision to lapse or to renew with the same insurer.The relevance of a market model is established.In chapter 2, we address this issue by using noncooperative game theory to model competition.In the current literature, most competition models are reduced to an optimisationof premium volume based on the simplistic picture of an insurer against the market. Startingwith a one-period model, a game of insurers is formulated, where the existence and uniquenessof a Nash equilibrium are verified. The properties of premium equilibria are examinedto better understand the key factors of leadership positions over other insurers. Then, thederivation of a dynamic framework from the one-period game is done by repeating of theone-shot game over several periods. A Monte-Carlo approach is used to assess the probabilityof being insolvent, staying a leader, or disappearing of the insurance game. This gives furtherinsights on the presence of non-life insurance market cycles.A survey of computational methods of a Nash equilibrium under constraints is conductedin Chapter 3. Such generalized Nash equilibrium of n players is carried out by solving asemismooth equation based on a Karush-Kuhn-Tucker reformulation of the generalized Nashequilibrium problem. Solving semismooth equations requires using the generalized Jacobianfor locally Lipschitzian function. Convergence study and method comparison are carried out.Finally, in Chapter 4, we focus on ruin probability computation, another fundemantalpoint of non-life insurance. In this chapter, a risk model with dependence among claimseverity or claim waiting times is studied. Asymptotics of infinite-time ruin probabilitiesare obtained in a wide class of risk models with dependence among claims. Furthermore,we obtain new explicit formulas for ruin probability in discrete-time. In this discrete-timeframework, dependence structure analysis allows us to quantify the maximal distance betweenjoint distribution functions of claim severity between the continuous-time and the discrete
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Computational Finance. Université Claude Bernard - Lyon I, 2012. French. <NNT : 2012LYO10070>


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Christophe Dutang. Etude des marchés d'assurance non-vie à l'aide d'équilibre de Nash et de modèle de risques avec dépendance. Computational Finance. Université Claude Bernard - Lyon I, 2012. French. <NNT : 2012LYO10070>. <tel-00703797v3>

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