Last Years have witnessed increasing interest in stochastic claims reserving method. Probably the lack of need for this methods and the major complexity produced a low diffusion. More recently, greater interest has been expressed in estimating the downside potential of claims reserves, in addition to a best estimate of outstanding claims reserves. In the framework of Solvency II project, it has been requested a new method for computing technical provisions, which are defined as the sum of two components: the best estimate and the risk margin. Both the Best estimate and the Risk Margin of the Outstanding Loss Liabilities must be derived by well defined probabilistic models properly calibrated. For that it is necessary to be able to estimate the variability of claims reserves and ideally to estimate a full distribution of possible outcomes. This paper considers a range of stochastic claims reserving method for use in general insurance, analyzing stochastic models which reproduce the traditional chain-ladder reserve estimates. The models are applied to data and properly compared.

Clemente, G. P., Parrini, C., Riserve Sinistri Stocastiche: alcune metodologie a confronto, in Aa.vv, A., Annali n.13 Università del Sannio, Edizioni Scientifiche Italiane, Napoli 2008: 187-216 [http://hdl.handle.net/10807/16306]

Riserve Sinistri Stocastiche: alcune metodologie a confronto

Clemente, Gian Paolo;
2008

Abstract

Last Years have witnessed increasing interest in stochastic claims reserving method. Probably the lack of need for this methods and the major complexity produced a low diffusion. More recently, greater interest has been expressed in estimating the downside potential of claims reserves, in addition to a best estimate of outstanding claims reserves. In the framework of Solvency II project, it has been requested a new method for computing technical provisions, which are defined as the sum of two components: the best estimate and the risk margin. Both the Best estimate and the Risk Margin of the Outstanding Loss Liabilities must be derived by well defined probabilistic models properly calibrated. For that it is necessary to be able to estimate the variability of claims reserves and ideally to estimate a full distribution of possible outcomes. This paper considers a range of stochastic claims reserving method for use in general insurance, analyzing stochastic models which reproduce the traditional chain-ladder reserve estimates. The models are applied to data and properly compared.
Italiano
978-88-495-1706-4
Edizioni Scientifiche Italiane
Clemente, G. P., Parrini, C., Riserve Sinistri Stocastiche: alcune metodologie a confronto, in Aa.vv, A., Annali n.13 Università del Sannio, Edizioni Scientifiche Italiane, Napoli 2008: 187-216 [http://hdl.handle.net/10807/16306]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/16306
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