Combining Chain-Ladder and Additive Loss Reserving Method for Dependent Lines of Business

نویسندگان

  • Michael Merz
  • Mario V. Wüthrich
چکیده

Often in non-life insurance, claims reserves are the largest position on the liability side of the balance sheet. Therefore, the estimation of adequate claims reserves for a portfolio consisting of several run-off subportfolios is relevant for every nonlife insurance company. In the present paper we provide a framework in which we unify the multivariate Chain-ladder (CL) model and the multivariate additive loss reserving (ALR) model to one model. This model allows for the simultaneous study of individual run-off subportfolios in which we use both the CL method and the additive loss reserving method for different subportfolios. Moreover, we derive an estimator for conditional mean square error of prediction (MSEP) for the predictor of the ultimate claims of the total portfolio.

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تاریخ انتشار 2008