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Blockchain adoption and optimal reinsurance design

Author

Listed:
  • Amini, Hamed
  • Deguest, Romain
  • Iyidogan, Engin
  • Minca, Andreea

Abstract

We study blockchain adoption in insurance–reinsurance markets. We consider operational costs related to claim verification and record-keeping. Traditionally, the majority of these costs scale linearly with the volume of claims. Instead, with a consortium blockchain these costs, per firm, become independent of claim volume and decrease with the adoption rate since they are distributed. In a consortium of insurance firms, we quantify how the equilibrium adoption decisions depend on the reinsurance contract characteristics, the risk aversion of insurance companies, the distributions of their potential losses and the blockchain cost structure. Under the optimal contract, the reinsurance firm internalizes the benefits of adoption on other insurance firms, thereby acting as a central planner. We then characterize the adoption gap between decentralized (Nash) and centralized blockchain consortia.

Suggested Citation

  • Amini, Hamed & Deguest, Romain & Iyidogan, Engin & Minca, Andreea, 2024. "Blockchain adoption and optimal reinsurance design," European Journal of Operational Research, Elsevier, vol. 318(1), pages 341-353.
    • Handle: RePEc:eee:ejores:v:318:y:2024:i:1:p:341-353
    DOI: 10.1016/j.ejor.2024.03.033
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    References listed on IDEAS

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    More about this item

    Keywords

    Blockchain adoption; Nash equilibrium; Insurance–reinsurance;
    All these keywords.

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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