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Mean-Variance Optimization for Participating Life Insurance Contracts

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  • Felix Fie{ss}inger
  • Mitja Stadje

Abstract

This paper studies the equity holders' mean-variance optimal portfolio choice problem for (non-)protected participating life insurance contracts. We derive explicit formulas for the optimal terminal wealth and the optimal strategy in the multi-dimensional Black-Scholes model, showing the existence of all necessary parameters. In incomplete markets, we state Hamilton-Jacobi-Bellman equations for the value function. Moreover, we provide a numerical analysis of the Black-Scholes market. The equity holders on average increase their investment into the risky asset in bad economic states and decrease their investment over time.

Suggested Citation

  • Felix Fie{ss}inger & Mitja Stadje, 2024. "Mean-Variance Optimization for Participating Life Insurance Contracts," Papers 2407.11761, arXiv.org, revised Dec 2024.
  • Handle: RePEc:arx:papers:2407.11761
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    References listed on IDEAS

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    1. Lin, Hongcan & Saunders, David & Weng, Chengguo, 2017. "Optimal investment strategies for participating contracts," Insurance: Mathematics and Economics, Elsevier, vol. 73(C), pages 137-155.
    2. Chen, An & Nguyen, Thai & Stadje, Mitja, 2018. "Optimal investment under VaR-Regulation and Minimum Insurance," Insurance: Mathematics and Economics, Elsevier, vol. 79(C), pages 194-209.
    3. 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.
    4. Kasper Larsen, 2005. "Optimal portfolio delegation when parties have different coefficients of risk aversion," Quantitative Finance, Taylor & Francis Journals, vol. 5(5), pages 503-512.
    5. Domenico Cuoco & Hua He & Sergei Isaenko, 2008. "Optimal Dynamic Trading Strategies with Risk Limits," Operations Research, INFORMS, vol. 56(2), pages 358-368, April.
    6. Yinghui Dong & Sang Wu & Wenxin Lv & Guojing Wang, 2020. "Optimal asset allocation for participating contracts under the VaR and PI constraint," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2020(2), pages 84-109, February.
    7. Lin He & Zongxia Liang & Yang Liu & Ming Ma, 2020. "Weighted utility optimization of the participating endowment contract," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2020(7), pages 577-613, August.
    8. Hato Schmeiser & Joël Wagner, 2015. "A Proposal on How the Regulator Should Set Minimum Interest Rate Guarantees in Participating Life Insurance Contracts," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 82(3), pages 659-686, September.
    9. Hui Mi & Zuo Quan Xu & Dongfang Yang, 2023. "Optimal Management of DC Pension Plan with Inflation Risk and Tail VaR Constraint," Papers 2309.01936, arXiv.org.
    10. Merton, Robert C., 1972. "An Analytic Derivation of the Efficient Portfolio Frontier," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(4), pages 1851-1872, September.
    11. Anna Rita Bacinello & Svein‐Arne Persson, 2002. "Design and Pricing of Equity‐Linked Life Insurance under Stochastic Interest Rates," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 3(2), pages 6-21, January.
    12. Sang Wu & Yinghui Dong & Wenxin Lv & Guojing Wang, 2020. "Optimal asset allocation for participating contracts with mortality risk under minimum guarantee," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(14), pages 3481-3497, July.
    13. Kraft, Holger & Steffensen, Mogens, 2013. "A dynamic programming approach to constrained portfolios," European Journal of Operational Research, Elsevier, vol. 229(2), pages 453-461.
    14. Hakansson, Nils H., 1971. "Capital Growth and the Mean-Variance Approach to Portfolio Selection," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 6(1), pages 517-557, January.
    15. Nadine Gatzert & Alexander Kling, 2007. "Analysis of Participating Life Insurance Contracts: A Unification Approach," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(3), pages 547-570, September.
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