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Mixture copulas and insurance applications

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  • Tamraz, Maissa

Abstract

In the classical collective model over a fixed time period of two insurance portfolios, we are interested, in this contribution, in the models that relate to the joint distribution F of the largest claim amounts observed in both insurance portfolios. Specifically, we consider the tractable model where the claim counting random variable N follows a discrete-stable distribution with parameters (α,λ). We investigate the dependence property of F with respect to both parameters α and λ. Furthermore, we present several applications of the new model to concrete insurance data sets and assess the fit of our new model with respect to other models already considered in some recent contributions. We can see that our model performs well with respect to most data sets.

Suggested Citation

  • Tamraz, Maissa, 2018. "Mixture copulas and insurance applications," Annals of Actuarial Science, Cambridge University Press, vol. 12(2), pages 391-411, September.
  • Handle: RePEc:cup:anacsi:v:12:y:2018:i:02:p:391-411_00
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    1. Xi Cai & Zhangbin Yang & Pan Liu & Xueguang Lian & Zhuang Li & Guorong Zhu & Hua Geng, 2024. "Voltage Control Strategy for Large-Scale Wind Farm with Rapid Wind Speed Fluctuation," Energies, MDPI, vol. 17(9), pages 1-11, May.

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