Optimal design for network mutual aid

Jingchao Li, Zichen Fang, Ciyu Nie, Sizhe Chen

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)567-596
Number of pages30
JournalProbability in the Engineering and Informational Sciences
Volume37
Issue number2
DOIs
Publication statusPublished - 1 Apr 2023

Keywords

  • Decentralization
  • InsurTech
  • Mutual aid platform
  • Optimization problem
  • Risk sharing

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