In this paper, we propose an approach to explore reinsurance optimization for a non-life multi-line insurer through a simulation model that combines alternative reinsurance treaties. Based on the Solvency II framework, the model maximises both solvency ratio and portfolio performance under user-defined constraints. Data visualisation helps understanding the numerical results and, together with the concept of the Pareto frontier, supports the selection of the optimal reinsurance program. We show in the case study that the methodology can be easily restructured to deal with multi-objective optimization, and, finally, the selected programs from each proposed problem are compared.

Zanotto, A., Clemente, G. P., An optimal reinsurance simulation model for non-life insurance in the Solvency II framework, <<EUROPEAN ACTUARIAL JOURNAL>>, N/A; (N/A): N/A-N/A. [doi:10.1007/s13385-021-00281-2] [http://hdl.handle.net/10807/181526]

An optimal reinsurance simulation model for non-life insurance in the Solvency II framework

Clemente, Gian Paolo
Secondo
2021

Abstract

In this paper, we propose an approach to explore reinsurance optimization for a non-life multi-line insurer through a simulation model that combines alternative reinsurance treaties. Based on the Solvency II framework, the model maximises both solvency ratio and portfolio performance under user-defined constraints. Data visualisation helps understanding the numerical results and, together with the concept of the Pareto frontier, supports the selection of the optimal reinsurance program. We show in the case study that the methodology can be easily restructured to deal with multi-objective optimization, and, finally, the selected programs from each proposed problem are compared.
2021
Inglese
Zanotto, A., Clemente, G. P., An optimal reinsurance simulation model for non-life insurance in the Solvency II framework, <<EUROPEAN ACTUARIAL JOURNAL>>, N/A; (N/A): N/A-N/A. [doi:10.1007/s13385-021-00281-2] [http://hdl.handle.net/10807/181526]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/181526
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