In this paper, we propose a de-risking strategy model for LTC insurers facing with longevity and disability risks, by constructing hedge positions with vanilla disability swaps and options. We rely on long-term care insurance in a multiple state framework. The optimal hedge level for each de-risking strategies is computed, respectively, by minimizing the total cost of the de-risking strategy under the Conditional Value-at-Risk (CVaR) constraint on the total unfunded liabilities and minimizing the CVaR under a total cost constraint. A numerical application is performed, and the results suggest that a de-risking strategy based on disability derivatives can be a viable solution to reduce the portfolio riskiness of LTC insurers.
De-risking long-term care insurance / D’Amato, Valeria; Levantesi, Susanna; Menzietti, Massimiliano. - In: SOFT COMPUTING. - ISSN 1432-7643. - 24:(2020), pp. 8627-8641. [10.1007/s00500-019-04658-0]
De-risking long-term care insurance
D’Amato, Valeria;Levantesi, Susanna;
2020
Abstract
In this paper, we propose a de-risking strategy model for LTC insurers facing with longevity and disability risks, by constructing hedge positions with vanilla disability swaps and options. We rely on long-term care insurance in a multiple state framework. The optimal hedge level for each de-risking strategies is computed, respectively, by minimizing the total cost of the de-risking strategy under the Conditional Value-at-Risk (CVaR) constraint on the total unfunded liabilities and minimizing the CVaR under a total cost constraint. A numerical application is performed, and the results suggest that a de-risking strategy based on disability derivatives can be a viable solution to reduce the portfolio riskiness of LTC insurers.File | Dimensione | Formato | |
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