3 résultats pour « Risk sharing »

Model Ambiguity in Risk Sharing with Monotone Mean‑Variance

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An agent with multiple loss models optimizes risk sharing with a counterparty using a mean-variance criterion adapted for ambiguity. Under a Cramér-Lundberg loss model, the optimal risk sharing contract and wealth process are characterized. The strategy is proven admissible, and the value function verified. The optimal strategy is applied to Spanish auto insurance data with differing models from cross-validation for numerical illustrations.
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Co‑opetition in Reinsurance Markets: When Pareto Meets Stackelberg and Nash

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This paper introduces "co-opetition" (combining competition and cooperation) to reinsurance risk-sharing. A two-layer game-theoretic framework models insurer-reinsurer contracting and price competition (Stackelberg-Nash), followed by collaborative risk-sharing. The model, using mean-variance preferences, yields explicit equilibrium results, demonstrating the feasibility of analyzing complex reinsurance market dynamics. Future research could explore different preferences, premium principles, and market structures.
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Risk sharing with Lambda value at risk under heterogeneous beliefs

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This study provides semi-explicit formulas for inf-convolution and optimal allocations, considering homogeneous, conditional, and absolutely continuous beliefs. The research also explores inf-convolution between Lambda value at risk and other risk measures, discussing optimal allocations and alternative Lambda value at risk definitions.
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