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Comonotonicity and Pareto optimality, with application to collaborative insurance

Author

Listed:
  • Denuit, Michel

    (Université catholique de Louvain, LIDAM/ISBA, Belgium)

  • Dhaene, Jan
  • Ghossoub, Mario
  • Robert, Christian Y.

Abstract

Two by-now folkloric results in the theory of risk sharing are that (i) any feasible allocation is convex-order-dominated by a comonotonic allocation; and (ii) an allocation is Pareto optimal for the convex order if and only if it is comonotonic. Here, comonotonicity corresponds to the so-called no-sabotage condition, which aligns the interests of all parties involved. Several proofs of these two results have been provided in the literature, all based on a version of the comonotonic improvement algorithm of Landsberger and Meilijson (1994) and a limit argument based on the Martingale Convergence Theorem. However, no proof of (i) is explicit enough to allow for an easy algorithmic implementation in practice; and no proof of (ii) provides a closed-form characterization of Pareto optima. In addition, while all of the existing proofs of (i) are provided only for the case of a two-agent economy with the observation that they can be easily extended beyond two agents, such an extension is far from being trivial in the context of the algorithm of Landsberger and Meilijson (1994) and it has never been explicitly implemented. In this paper, we provide novel proofs of these foundational results. Our proof of (i) is based on the theory of majorization and an extension of a result of Lorentz and Shimogaki (1968), which allows us to provide an explicit algorithmic construction that can be easily implemented beyond the case of two agents. In addition, our proof of (ii) leads to a crisp closed-form characterization of Pareto-optimal allocations in terms of α-quantiles (mixed quantiles). An application to peer-to-peer insurance, or collaborative insurance, illustrates the relevance of these results.

Suggested Citation

  • Denuit, Michel & Dhaene, Jan & Ghossoub, Mario & Robert, Christian Y., 2024. "Comonotonicity and Pareto optimality, with application to collaborative insurance," LIDAM Reprints ISBA 2024045, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Handle: RePEc:aiz:louvar:2024045
    DOI: https://doi.org/10.1016/j.insmatheco.2024.11.001
    Note: In: Insurance: Mathematics and Economics, 2025, vol. 120, p. 1-16
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    Cited by:

    1. Yuri Imamura & Takashi Kato, 2025. "A Note on Subadditivity of Value at Risks (VaRs): A New Connection to Comonotonicity," Papers 2509.12558, arXiv.org, revised Oct 2025.
    2. Heather N. Fogarty & Sooie-Hoe Loke & Nicholas F. Marshall & Enrique A. Thomann, 2026. "Optimal Risk-Sharing Rules in Network-based Decentralized Insurance," Papers 2602.05155, arXiv.org, revised Jul 2026.
    3. Michiko Ogaku, 2025. "Full Subgame-Perfect Implementation of Optimal Risk Sharing on an Infinite Menu," Papers 2505.04122, arXiv.org, revised Aug 2026.
    4. UBOGU, Efedirin Oghenekevwe & Orishede Felix & Anthony A Kifordu, 2026. "Entrepreneurial Orientation and Growth of Small and Medium Scale Businesses in Delta State," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(6), pages 9384-9396, June.
    5. Jan Dhaene & Atibhav Chaudhry & Ka Chun Cheung & Austin Riis-Due, 2025. "Compensation-based risk-sharing," Papers 2510.19511, arXiv.org, revised Jun 2026.
    6. Mario Ghossoub & Michael Boyuan Zhu, 2024. "Efficiency in Pure-Exchange Economies with Risk-Averse Monetary Utilities," Papers 2406.02712, arXiv.org, revised Aug 2024.
    7. Mario Ghossoub & Qinghua Ren & Ruodu Wang, 2024. "Counter-monotonic risk allocations and distortion risk measures," Papers 2407.16099, arXiv.org.
    8. Bohan Li & Wenyuan Li & Kenneth Tsz Hin Ng & Sheung Chi Phillip Yam, 2025. "Mean Field Analysis of Mutual Insurance Market," Papers 2511.12292, arXiv.org.
    9. Denuit, Michel & Robert, Christian Y., 2023. "Conditional mean risk sharing of independent discrete losses in large pools," LIDAM Discussion Papers ISBA 2023010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Tim J. Boonen & Wing Fung Chong & Mario Ghossoub, 2024. "Pareto‐efficient risk sharing in centralized insurance markets with application to flood risk," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 91(2), pages 449-488, June.
    11. Michel Denuit & Christian Y. Robert, 2024. "Conditional Mean Risk Sharing of Independent Discrete Losses in Large Pools," Methodology and Computing in Applied Probability, Springer, vol. 26(4), pages 1-22, December.
    12. Ghossoub Mario & Principi Giulio & Stanca Lorenzo, 2023. "A Nonlinear Sandwich Theorem," Working papers 081, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    13. Jan L. M. Dhaene & Moshe A. Milevsky, 2024. "Egalitarian pooling and sharing of longevity risk', a.k.a. 'The many ways to skin a tontine cat," Papers 2402.00855, arXiv.org.

    More about this item

    Keywords

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    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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