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On randomized reinsurance contracts

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  • Albrecher, Hansjörg
  • Cani, Arian

Abstract

In this paper we discuss the potential of randomizing reinsurance treaties for efficient risk management. While it may be considered counter-intuitive to introduce additional external randomness in the determination of the retention function for a given occurred loss, we indicate why and to what extent randomizing a treaty can be interesting for the insurer. We illustrate the approach with a detailed analysis of the effects of randomizing a stop-loss treaty on the expected profit after reinsurance in the framework of a one-year reinsurance model under regulatory solvency constraints and cost of capital considerations.

Suggested Citation

  • Albrecher, Hansjörg & Cani, Arian, 2019. "On randomized reinsurance contracts," Insurance: Mathematics and Economics, Elsevier, vol. 84(C), pages 67-78.
  • Handle: RePEc:eee:insuma:v:84:y:2019:i:c:p:67-78
    DOI: 10.1016/j.insmatheco.2018.11.004
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    References listed on IDEAS

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    1. Lesław Gajek & Dariusz Zagrodny, 2004. "Reinsurance Arrangements Maximizing Insurer's Survival Probability," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(3), pages 421-435, September.
    2. Guerra, Manuel & de Lourdes Centeno, Maria, 2008. "Optimal reinsurance policy: The adjustment coefficient and the expected utility criteria," Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 529-539, April.
    3. Carole Bernard & Weidong Tian, 2009. "Optimal Reinsurance Arrangements Under Tail Risk Measures," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 709-725, September.
    4. Chi, Yichun & Tan, Ken Seng, 2013. "Optimal reinsurance with general premium principles," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 180-189.
    5. Gajek, Leslaw & Zagrodny, Dariusz, 2004. "Optimal reinsurance under general risk measures," Insurance: Mathematics and Economics, Elsevier, vol. 34(2), pages 227-240, April.
    6. Basak, Suleyman & Shapiro, Alexander, 2001. "Value-at-Risk-Based Risk Management: Optimal Policies and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 371-405.
    7. Cai, Jun & Tan, Ken Seng, 2007. "Optimal Retention for a Stop-loss Reinsurance Under the VaR and CTE Risk Measures," ASTIN Bulletin, Cambridge University Press, vol. 37(1), pages 93-112, May.
    8. Guerra, Manuel & Centeno, M.L., 2012. "Are quantile risk measures suitable for risk-transfer decisions?," Insurance: Mathematics and Economics, Elsevier, vol. 50(3), pages 446-461.
    9. Chi, Yichun & Tan, Ken Seng, 2011. "Optimal Reinsurance under VaR and CVaR Risk Measures: a Simplified Approach," ASTIN Bulletin, Cambridge University Press, vol. 41(2), pages 487-509, November.
    10. Kaluszka, Marek, 2001. "Optimal reinsurance under mean-variance premium principles," Insurance: Mathematics and Economics, Elsevier, vol. 28(1), pages 61-67, February.
    11. Lo, Ambrose, 2017. "A Neyman-Pearson Perspective On Optimal Reinsurance With Constraints," ASTIN Bulletin, Cambridge University Press, vol. 47(2), pages 467-499, May.
    12. Ken Tan & Chengguo Weng & Yi Zhang, 2009. "VAR and CTE Criteria for Optimal Quota-Share and Stop-Loss Reinsurance," North American Actuarial Journal, Taylor & Francis Journals, vol. 13(4), pages 459-482.
    13. Cai, Jun & Tan, Ken Seng & Weng, Chengguo & Zhang, Yi, 2008. "Optimal reinsurance under VaR and CTE risk measures," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 185-196, August.
    14. Chi, Yichun, 2012. "Optimal reinsurance under variance related premium principles," Insurance: Mathematics and Economics, Elsevier, vol. 51(2), pages 310-321.
    15. Yichun Chi & X. Sheldon Lin & Ken Seng Tan, 2017. "Optimal Reinsurance Under the Risk-Adjusted Value of an Insurer’s Liability and an Economic Reinsurance Premium Principle," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(3), pages 417-432, July.
    16. Chi, Yichun, 2012. "Reinsurance Arrangements Minimizing the Risk-Adjusted Value of an Insurer's Liability," ASTIN Bulletin, Cambridge University Press, vol. 42(2), pages 529-557, November.
    17. Kull, Andreas, 2009. "Sharing Risk – An Economic Perspective," ASTIN Bulletin, Cambridge University Press, vol. 39(2), pages 591-613, November.
    18. Malamud, Semyon & Rui, Huaxia & Whinston, Andrew, 2016. "Optimal reinsurance with multiple tranches," Journal of Mathematical Economics, Elsevier, vol. 65(C), pages 71-82.
    19. Boonen, Tim J. & Tan, Ken Seng & Zhuang, Sheng Chao, 2016. "Pricing In Reinsurance Bargaining With Comonotonic Additive Utility Functions," ASTIN Bulletin, Cambridge University Press, vol. 46(2), pages 507-530, May.
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    2. Manuel Guerra & Alexandra B. Moura, 2020. "Reinsurance of multiple risks with generic dependence structures," Papers 2009.12274, arXiv.org, revised Jun 2021.
    3. M. Guerra & A. B. de Moura, 2020. "Reinsurance of multiple risks with generic dependence structures," Working Papers REM 2020/0149, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    4. Guerra, M. & de Moura, A.B., 2021. "Reinsurance of multiple risks with generic dependence structures," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 547-571.
    5. Vincent, Léonard & Albrecher, Hansjörg & Krvavych, Yuriy, 2021. "Structured reinsurance deals with reference to relative market performance," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 125-139.

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