Author(s)

Fengzhu Chang, Ying Fang^*

School of Mathematics and Statistics, Shandong Normal University, Jinan, China.

Reinsurance is an effective risk management tool for insurers to stabilize their profitability. In a typical reinsurance treaty, an insurer cedes part of the loss to a reinsurer. As the insurer faces an increasing number of total losses in the insurance market, the insurer might expect the reinsurer to bear an increasing proportion of the total loss, that is the insurer might expect the reinsurer to pay an increasing proportion of the total claim amount when he faces an increasing number of total claims in the insurance market. Motivated by this, we study the optimal reinsurance problem under the Vajda condition. To prevent moral hazard and reflect the spirit of reinsurance, we assume that the retained loss function is increasing and the ceded loss function satisfies the Vajda condition. We derive the explicit expression of the optimal reinsurance under the TVaR risk measure and TVaR premium principle from the perspective of both an insurer and a reinsurer. Our results show that the explicit expression of the optimal reinsurance is in the form of two or three interconnected line segments. Under an additional mild constraint, we get the optimal parameters and find the optimal reinsurance strategy is full reinsurance, no reinsurance, stop loss reinsurance, or quota-share reinsurance. Finally, we gave an example to analyze the impact of the weighting factor on optimal reinsurance.

Pareto-Optimal Reinsurance, TVaR Risk Measure, Vajda Condition, TVaR Premium Principle

Chang, F. and Fang, Y. (2023) Pareto-Optimal Reinsurance Based on TVaR Premium Principle and Vajda Condition. Open Journal of Applied Sciences, 13, 1649-1680. doi: 10.4236/ojapps.2023.1310131.