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Reinsurance Networks and Their Impact on Reinsurance Decisions: Theory and Empirical Evidence

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  • Yijia Lin
  • Jifeng Yu
  • Manferd O. Peterson

Abstract

type="main" xml:lang="en"> This article investigates the role of reinsurance networks in an insurer's reinsurance purchase decision. Drawing on network theory, we develop a framework that delineates how the pattern of linkages among reinsurers determines three reinsurance costs (loadings, contagion costs, and search and monitoring costs) and characterizes an insurer's optimal network structure. Consistent with empirical evidence based on longitudinal data from the U.S. property and casualty insurance industry, our model predicts an inverted U-shaped relationship between the insurer's optimal percentage of reinsurance ceded and the number of its reinsurers. Moreover, we find that a linked network may be optimal ex ante even though linkages among reinsurers may spread financial contagion, supporting the model's prediction regarding social capital benefits associated with network cohesion. Our theoretical model and empirical results have implications for other networks such as loan sale market networks and over-the-counter dealer networks.

Suggested Citation

  • Yijia Lin & Jifeng Yu & Manferd O. Peterson, 2015. "Reinsurance Networks and Their Impact on Reinsurance Decisions: Theory and Empirical Evidence," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 82(3), pages 531-569, September.
    • Handle: RePEc:bla:jrinsu:v:82:y:2015:i:3:p:531-569
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    Cited by:

    1. Kanno, Masayasu, 2016. "The network structure and systemic risk in the global non-life insurance market," Insurance: Mathematics and Economics, Elsevier, vol. 67(C), pages 38-53.
    2. Tang, Qihe & Tong, Zhiwei & Xun, Li, 2022. "Insurance risk analysis of financial networks vulnerable to a shock," European Journal of Operational Research, Elsevier, vol. 301(2), pages 756-771.
    3. de França Carvalho, João Vinícius & Guimarães, Acássio Silva, 2024. "Systemic risk assessment using complex networks approach: Evidence from the Brazilian (re)insurance market," Research in International Business and Finance, Elsevier, vol. 67(PA).
    4. Tobias Götze & Marc Gürtler, 2022. "Risk transfer beyond reinsurance: the added value of CAT bonds," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(1), pages 125-171, January.
    5. Qiu, Ming & Jin, Zhuo & Li, Shuanming, 2023. "Optimal risk sharing and dividend strategies under default contagion: A semi-analytical approach," Insurance: Mathematics and Economics, Elsevier, vol. 113(C), pages 1-23.
    6. Hua Chen & J. David Cummins & Tao Sun & Mary A. Weiss, 2020. "The Reinsurance Network Among U.S. Property–Casualty Insurers: Microstructure, Insolvency Risk, and Contagion," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 253-284, June.
    7. Shiu, Yung-Ming, 2020. "How does reinsurance and derivatives usage affect financial performance? Evidence from the UK non-life insurance industry," Economic Modelling, Elsevier, vol. 88(C), pages 376-385.
    8. Aduloju Sunday Adekunle & Ajemunigbohun Sunday Stephen, 2017. "Reinsurance and Performance of the Ceding Companies: The Nigerian Insurance Industry Experience," Economics and Business, Sciendo, vol. 31(1), pages 19-29, August.

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