IDEAS home Printed from https://ideas.repec.org/a/spr/finsto/v28y2024i2d10.1007_s00780-023-00523-z.html
   My bibliography  Save this article

Optimal reinsurance via BSDEs in a partially observable model with jump clusters

Author

Listed:
  • Matteo Brachetta

    (Politecnico di Milano)

  • Giorgia Callegaro

    (University of Padova)

  • Claudia Ceci

    (University of Rome La Sapienza)

  • Carlo Sgarra

    (Università di Bari)

Abstract

We investigate an optimal reinsurance problem when the loss process exhibits jump clustering features and the insurance company has restricted information about the loss process. We maximise expected exponential utility of terminal wealth and show that an optimal strategy exists. By exploiting both the Kushner–Stratonovich and Zakai approaches, we provide the equation governing the dynamics of the (infinite-dimensional) filter and characterise the solution of the stochastic optimisation problem in terms of a BSDE, for which we prove existence and uniqueness of a solution. After discussing the optimal strategy for a general reinsurance premium, we provide more explicit results in some relevant cases.

Suggested Citation

  • Matteo Brachetta & Giorgia Callegaro & Claudia Ceci & Carlo Sgarra, 2024. "Optimal reinsurance via BSDEs in a partially observable model with jump clusters," Finance and Stochastics, Springer, vol. 28(2), pages 453-495, April.
    • Handle: RePEc:spr:finsto:v:28:y:2024:i:2:d:10.1007_s00780-023-00523-z
    DOI: 10.1007/s00780-023-00523-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00780-023-00523-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00780-023-00523-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Matteo Brachetta & Claudia Ceci, 2019. "A BSDE-based approach for the optimal reinsurance problem under partial information," Papers 1910.05999, arXiv.org, revised May 2020.
    2. Cao, Jingyi & Landriault, David & Li, Bin, 2020. "Optimal reinsurance-investment strategy for a dynamic contagion claim model," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 206-215.
    3. Ceci, Claudia & Colaneri, Katia & Cretarola, Alessandra, 2014. "A benchmark approach to risk-minimization under partial information," Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 129-146.
    4. Hansjörg Albrecher & Søren Asmussen c, 2006. "Ruin probabilities and aggregrate claims distributions for shot noise Cox processes," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2006(2), pages 86-110.
    5. Liang, Zhibin & Bayraktar, Erhan, 2014. "Optimal reinsurance and investment with unobservable claim size and intensity," Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 156-166.
    6. Antonis Papapantoleon & Dylan Possamai & Alexandros Saplaouras, 2016. "Existence and uniqueness results for BSDEs with jumps: the whole nine yards," Papers 1607.04214, arXiv.org, revised Nov 2018.
    7. Michael Mania & Marina Santacroce, 2010. "Exponential utility maximization under partial information," Finance and Stochastics, Springer, vol. 14(3), pages 419-448, September.
    8. Irgens, Christian & Paulsen, Jostein, 2004. "Optimal control of risk exposure, reinsurance and investments for insurance portfolios," Insurance: Mathematics and Economics, Elsevier, vol. 35(1), pages 21-51, August.
    9. Brachetta, M. & Ceci, C., 2020. "A BSDE-based approach for the optimal reinsurance problem under partial information," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 1-16.
    10. Brachetta, M. & Ceci, C., 2019. "Optimal proportional reinsurance and investment for stochastic factor models," Insurance: Mathematics and Economics, Elsevier, vol. 87(C), pages 15-33.
    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. Claudia Ceci & Katia Colaneri & Alessandra Cretarola, 2021. "Optimal Reinsurance and Investment under Common Shock Dependence Between Financial and Actuarial Markets," Papers 2105.07524, arXiv.org.
    2. Claudia Ceci & Alessandra Cretarola, 2024. "Optimal reinsurance in a dynamic contagion model: comparing self-exciting and externally-exciting risks," Papers 2404.11482, arXiv.org, revised Sep 2024.
    3. Sarah Bensalem & Nicolás Hernández-Santibáñez & Nabil Kazi-Tani, 2023. "A continuous-time model of self-protection," Finance and Stochastics, Springer, vol. 27(2), pages 503-537, April.
    4. Matteo Brachetta & Hanspeter Schmidli, 2020. "Optimal reinsurance and investment in a diffusion model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 341-361, June.
    5. Matteo Brachetta & Hanspeter Schmidli, 2019. "Optimal Reinsurance and Investment in a Diffusion Model," Papers 1903.12426, arXiv.org.
    6. Katia Colaneri & Alessandra Cretarola & Benedetta Salterini, 2025. "Optimal investment and reinsurance under exponential forward preferences," Mathematics and Financial Economics, Springer, volume 19, number 1, February.
    7. Chen, Dengsheng & Yang, Wensheng & Wang, Chengben, 2024. "Optimal investment for asset–liability management with delay and partial information under Ornstein–Uhlenbeck process," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    8. Matteo Brachetta & Claudia Ceci, 2019. "Optimal excess-of-loss reinsurance for stochastic factor risk models," Papers 1904.05422, arXiv.org.
    9. Matteo Brachetta & Claudia Ceci, 2019. "A BSDE-based approach for the optimal reinsurance problem under partial information," Papers 1910.05999, arXiv.org, revised May 2020.
    10. Matteo Brachetta & Claudia Ceci, 2019. "Optimal Excess-of-Loss Reinsurance for Stochastic Factor Risk Models," Risks, MDPI, vol. 7(2), pages 1-23, May.
    11. Brachetta, M. & Ceci, C., 2020. "A BSDE-based approach for the optimal reinsurance problem under partial information," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 1-16.
    12. Claudia Ceci & Katia Colaneri & Alessandra Cretarola, 2015. "The F\"ollmer-Schweizer decomposition under incomplete information," Papers 1511.05465, arXiv.org, revised Mar 2016.
    13. Bai, Yanfei & Zhou, Zhongbao & Xiao, Helu & Gao, Rui & Zhong, Feimin, 2022. "A hybrid stochastic differential reinsurance and investment game with bounded memory," European Journal of Operational Research, Elsevier, vol. 296(2), pages 717-737.
    14. Xue, Xiaole & Wei, Pengyu & Weng, Chengguo, 2019. "Derivatives trading for insurers," Insurance: Mathematics and Economics, Elsevier, vol. 84(C), pages 40-53.
    15. Matteo Brachetta & Claudia Ceci, 2021. "Optimal reinsurance problem under fixed cost and exponential preferences," Papers 2101.04975, arXiv.org.
    16. Fu-Wei Huang & Panpan Lin & Jyh-Horng Lin & Ching-Hui Chang, 2023. "The impact of war on insurer safety: a contingent claim model analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-6, December.
    17. Bohan Li & Junyi Guo & Xiaoqing Liang, 2025. "Optimal Monotone Mean-Variance Problem in a Catastrophe Insurance Model," Methodology and Computing in Applied Probability, Springer, vol. 27(1), pages 1-37, March.
    18. Shen, Yang & Zeng, Yan, 2015. "Optimal investment–reinsurance strategy for mean–variance insurers with square-root factor process," Insurance: Mathematics and Economics, Elsevier, vol. 62(C), pages 118-137.
    19. Yu Yuan & Kexin Wang & Caibin Zhang, 2024. "Stochastic differential reinsurance game for two competitive insurers with ambiguity-aversion under mean-variance premium principle," Annals of Operations Research, Springer, vol. 335(1), pages 441-467, April.
    20. Zhang, Liming & Wu, Hongping & Zhao, Qian & Wang, Ning, 2024. "Equilibrium reinsurance strategies for catastrophe and secondary claims under α-maxmin mean–variance criterion," International Review of Financial Analysis, Elsevier, vol. 96(PB).

    More about this item

    Keywords

    Optimal reinsurance; Partial information; Hawkes processes; Cox processes with shot noise; BSDEs;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:spr:finsto:v:28:y:2024:i:2:d:10.1007_s00780-023-00523-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.