IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2606.27150.html

Endogenous Reinsurance Pricing in Large Competitive Insurance Markets: Finite-Player and Mean Field Analysis

Author

Listed:
  • Ruimeng Hu
  • Byungdoo Kong

Abstract

We study endogenous reinsurance pricing in a competitive insurance market with one strategic reinsurer and many heterogeneous insurers. The reinsurer acts as a Stackelberg leader by choosing a common premium rate and an investment strategy, while insurers decide how much risk to retain and how to invest, taking into account their own performance, their performance relative to the insurer population, and common insurance-claim and financial-market noise. This creates a feedback loop absent from standard reinsurance models with exogenous premiums: a premium change affects insurers directly through the cost of reinsurance, and indirectly through the population's aggregate exposure to common insurance-claim risk. For a fixed premium, we characterize the insurers' equilibrium retention through a scalar fixed point and establish its monotone premium response. This characterization reveals a spillover mechanism generated by relative performance concerns and leads to a threshold structure in which insurers move from full cession to partial retention and then to full retention as the premium increases. Using this structure, we reduce the reinsurer's premium problem to a one-dimensional optimization over a compact premium interval and characterize Stackelberg equilibria in both finite-player and mean field models. In the finite-player case, we develop an efficient threshold continuation procedure that determines equilibrium premiums without enumerating all retention configurations. We also prove convergence from finite-player equilibria to mean field equilibria without requiring the mean field equilibrium premium to be unique. Numerical illustrations show how relative performance concerns amplify spillover effects and can induce retention even when reinsurance remains actuarially favorable. They also demonstrate that Stackelberg equilibria need not be unique in either setting.

Suggested Citation

  • Ruimeng Hu & Byungdoo Kong, 2026. "Endogenous Reinsurance Pricing in Large Competitive Insurance Markets: Finite-Player and Mean Field Analysis," Papers 2606.27150, arXiv.org.
  • Handle: RePEc:arx:papers:2606.27150
    as

    Download full text from publisher

    File URL: https://arxiv.org/pdf/2606.27150
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gilles-Edouard Espinosa & Nizar Touzi, 2015. "Optimal Investment Under Relative Performance Concerns," Mathematical Finance, Wiley Blackwell, vol. 25(2), pages 221-257, April.
    2. Cao, Jingyi & Li, Dongchen & Young, Virginia R. & Zou, Bin, 2025. "Co-opetition in reinsurance markets: When Pareto meets Stackelberg and Nash," Insurance: Mathematics and Economics, Elsevier, vol. 125(C).
    3. Bo, Lijun & Wang, Shihua & Zhou, Chao, 2024. "A mean field game approach to optimal investment and risk control for competitive insurers," Insurance: Mathematics and Economics, Elsevier, vol. 116(C), pages 202-217.
    4. Liang, Zongxia & Xia, Yi & Zou, Bin, 2024. "A two-layer stochastic game approach to reinsurance contracting and competition," Insurance: Mathematics and Economics, Elsevier, vol. 119(C), pages 226-237.
    5. Daniel Lacker & Thaleia Zariphopoulou, 2019. "Mean field and n‐agent games for optimal investment under relative performance criteria," Mathematical Finance, Wiley Blackwell, vol. 29(4), pages 1003-1038, October.
    6. Zongxia Liang & Yi Xia & Bin Zou, 2024. "A Two-layer Stochastic Game Approach to Reinsurance Contracting and Competition," Papers 2405.06235, arXiv.org, revised Sep 2024.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guojiang Shao & Zuo Quan Xu & Qi Zhang, 2025. "Competitive optimal portfolio selection under mean-variance criterion," Papers 2511.05270, arXiv.org.
    2. Zhang, Jinjin & Zhang, Caibin, 2025. "Nash equilibrium in insurance pricing and investment under common shocks," Finance Research Letters, Elsevier, vol. 86(PA).
    3. Curatola, Giuliano, 2022. "Price impact, strategic interaction and portfolio choice," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    4. Guanxing Fu, 2023. "Mean field portfolio games with consumption," Mathematics and Financial Economics, Springer, volume 17, number 4, December.
    5. Li-Hsien Sun, 2022. "Mean Field Games with Heterogeneous Groups: Application to Banking Systems," Journal of Optimization Theory and Applications, Springer, vol. 192(1), pages 130-167, January.
    6. Chao Deng & Xizhi Su & Chao Zhou, 2024. "Peer effect and dynamic ALM games among insurers," Mathematics and Financial Economics, Springer, volume 18, number 11, December.
    7. Nicole Bauerle & Tamara Goll, 2025. "Relative portfolio optimization via a value at risk based constraint," Papers 2503.20340, arXiv.org, revised Jun 2025.
    8. Guanxing Fu & Xizhi Su & Chao Zhou, 2020. "Mean Field Exponential Utility Game: A Probabilistic Approach," Papers 2006.07684, arXiv.org, revised Jul 2020.
    9. Cao, Jingyi & Li, Dongchen & Young, Virginia R. & Zou, Bin, 2025. "Co-opetition in reinsurance markets: When Pareto meets Stackelberg and Nash," Insurance: Mathematics and Economics, Elsevier, vol. 125(C).
    10. Nicole Bäuerle & Tamara Göll, 2023. "Nash equilibria for relative investors via no-arbitrage arguments," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 97(1), pages 1-23, February.
    11. Weilun Cheng & Zongxia Liang & Sheng Wang & Xiang Yu, 2026. "Mean-field game of mean-variance portfolio optimization with peer-based risk aversion," Papers 2605.25824, arXiv.org, revised Jul 2026.
    12. Guanxing Fu & Ulrich Horst, 2025. "Mean Field Portfolio Games with Epstein-Zin Preferences," Papers 2505.07231, arXiv.org, revised Jun 2026.
    13. Michail Anthropelos & Tianran Geng & Thaleia Zariphopoulou, 2020. "Competition in Fund Management and Forward Relative Performance Criteria," Papers 2011.00838, arXiv.org.
    14. Masaaki Fujii & Masashi Sekine, 2023. "Mean-field Equilibrium Price Formation with Exponential Utility," CIRJE F-Series CIRJE-F-1210, CIRJE, Faculty of Economics, University of Tokyo.
    15. Dianetti, Jodi & Riedel, Frank & Stanza, Lorenzo, 2024. "Optimal consumption and Investment under Relative Performance Criteria with Epstein-Zin Utility," Center for Mathematical Economics Working Papers 685, Center for Mathematical Economics, Bielefeld University.
    16. Bo, Lijun & Wang, Shihua & Yu, Xiang, 2024. "A mean field game approach to equilibrium consumption under external habit formation," Stochastic Processes and their Applications, Elsevier, vol. 178(C).
    17. Tim J. Boonen & Engel John C. Dela Vega & Bin Zou, 2025. "Optimal Dividend, Reinsurance, and Capital Injection Strategies for an Insurer with Two Collaborating Business Lines," Papers 2508.08130, arXiv.org.
    18. Lijun Bo & Yijie Huang & Xiang Yu, 2025. "Mean Field Game of Optimal Tracking Portfolio," Papers 2505.01858, arXiv.org, revised Apr 2026.
    19. Pengyan Huang & Guangchen Wang & Shujun Wang, 2025. "Pareto Game of Stochastic Differential System with Terminal State Constraint," Journal of Optimization Theory and Applications, Springer, vol. 205(1), pages 1-30, April.
    20. Yu-Jui Huang & Shihao Zhu, 2025. "Mean-Variance Stackelberg Games with Asymmetric Information," Papers 2509.03669, arXiv.org.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2606.27150. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.