Optimal design for network mutual aid

Autor: Jingchao Li, Zichen Fang, Ciyu Nie, Sizhe Chen
Rok vydání: 2022
Předmět:
Zdroj: Probability in the Engineering and Informational Sciences. 37:567-596
ISSN: 1469-8951
0269-9648
DOI: 10.1017/s0269964822000341
Popis: Network mutual aid platforms is one of the popular risk-sharing models in recent years, and they have almost 200 million members in China. However, current mutual aid platforms does not satisfy the actuarial rules in either the apportionment method or the pricing principle. Hence, a variety of mutual aid models which enable mutual aid members with different risks to exchange their risks in a transparent and actuarial fair way have been proposed in this paper. Besides, the decision-making frameworks for participants choosing between the mutual aid platform and similar insurance products, or choosing no risk sharing are constructed, respectively. Decisions are made based on the principle of maximizing expected utility. Moreover, the optimization problems of maximizing profit and minimizing risk are constructed, respectively. Through the principle of individual fairness and relative fairness, the problem of adverse selection of the platform can also be reduced. Finally, the actual mutual aid plan is compared with similar insurance products to discuss the advantages of the optimized plan.
Databáze: OpenAIRE