Optimal Dynamic Ruin Probabilities for Heavy-Tailed Losses Under Reinsurance Strategies

Date

2022-07-12

Author

Yıldırım Külekci, Bükre
Korn, Ralf
Kestel, Sevtap Ayşe

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In recent years, extreme events are appearing to increase both in frequency and severity in many different areas. Insurance mechanism provides safe protection for extreme losses in the frame of risk management solutions. Reinsurance agreements that insurance companies apply to manage heavy-tailed risks and create free capital are also directly affected by these extreme events. Therefore, we first model the heavy-tailed loss distributions by using the dynamic EVT-GARCH combined model to fit the specific features of heavy-tailed and skewed insurance data and provide more accurate estimates than the classical models considering the structural changes in data. Secondly, we examine the effects of reinsurance strategies on the asymptotic probability of ruin of the Cramér-Lundberg risk process. With numerical examples, we aim to illustrate the optimal reinsurance strategy for the insurer and the reinsurer. Additionally, we derive the corresponding expected value premiums and tail risk measure Value at Risk (VaR) which also allows us to compare these strategies.

URI

https://static.ichaos.com.cn/upload/2022-07/d71e8512-5da1-48e4-872b-77c4802adc4e.pdf
https://hdl.handle.net/11511/100136

Conference Name

25th (2022) International Congress on Insurance: Mathematics and Economics

Collections

Graduate School of Applied Mathematics, Conference / Seminar

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Citation Formats

B. Yıldırım Külekci, R. Korn, and S. A. Kestel, “Optimal Dynamic Ruin Probabilities for Heavy-Tailed Losses Under Reinsurance Strategies,” Guangzhou, Çin, 2022, vol. 1, Accessed: 00, 2022. [Online]. Available: https://static.ichaos.com.cn/upload/2022-07/d71e8512-5da1-48e4-872b-77c4802adc4e.pdf.