A New Expression for the True One-Year Prediction Uncertainty in the Chain-Ladder Model of Mack

10 Pages Posted: 28 Jul 2021 Last revised: 13 Dec 2022

Date Written: July 25, 2021

Abstract

In this paper we provide a new expression for the true one-year prediction uncertainty within the chain-ladder model of Mack, which can be useful for quantification and sensitivity analysis.
We also show that, in case sufficiently large sized claims trapezoids are considered (which might not be easily available in practice though), classical estimators for the true one-year prediction uncertainty (notably the Merz-W├╝thrich and the Gisler formulas) mostly succeed to respectably estimate the true uncertainty. This is highly linked with the fact that in this case the traditional estimator for the sigma squared parameters results to have a sufficiently low variance.
Otherwise, for instance when considering small sized claims triangles, the classical estimators might be particularly prone to materially fail in estimating the true value.

Keywords: Claims reserving, distribution free chain-ladder model, conditional mean square error of prediction, one-year prediction uncertainty

JEL Classification: G22, G28

Suggested Citation

Siegenthaler, Filippo, A New Expression for the True One-Year Prediction Uncertainty in the Chain-Ladder Model of Mack (July 25, 2021). Available at SSRN: https://ssrn.com/abstract=3893095 or http://dx.doi.org/10.2139/ssrn.3893095

Filippo Siegenthaler (Contact Author)

Independent ( email )

Zurich
Switzerland

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