Applied Robust Performance Analysis for Actuarial Applications

نویسندگان

  • Jose Blanchet
  • Henry Lam
  • Qihe Tang
  • Zhongyi Yuan
چکیده

This paper investigates techniques for the assessment of model error in the context of insurance risk analysis. The methodology is based on finding bounds for quantities of interest, such as loss probabilities and conditional value-at-risk, which are obtained by solving optimization problems where the variable to optimize is the model itself in a non-parametric framework. The non-parametric aspect of the approach is crucial for model error quantification.

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تاریخ انتشار 2016