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CHAIN-LADDER METHOD AND MIDYEAR LOSS RESERVING

Published online by Cambridge University Press:  28 March 2017

René Dahms*
Affiliation:

Abstract

Although loss reserving has been deeply studied in the literature, there are still practical issues that have not been addressed a lot. One of them is the estimation of reserves during the year, which is necessary for forecasts or closings during the year. We will study the following question: What can be done for forecasts and closings during the year that goes along with the reserving at year end? In order to make it not too complicated, we will focus on the Chain-Ladder method introduced by Mack (1993). We will describe several methods that are used in practice. We will discuss advantages and disadvantages of these methods based on a simple deterministic example. Roughly spoken, we will see that you may shift development or accident periods, or may split development periods, but should not split accident periods.

Type
Research Article
Copyright
Copyright © Astin Bulletin 2017 

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References

Buchwalder, M., Bühlmann, H., Merz, M. and Wüthrich, M.V. (2006) The mean square error of prediction in the chain ladder reserving method (Mack and Murphy revisited). ASTIN Bulletin, 36, 521542.CrossRefGoogle Scholar
Dahms, R. (2012) Linear stochastic reserving methods. ASTIN Bulletin, 42, 134.Google Scholar
Dahms, R. (2016) Linear stochastic reserving methods revisited. to obtain from the author.Google Scholar
Mack, T. (1993) Distribution-free calculation of the standard error of chain ladder reserve estimates. ASTIN Bulletin, 23/2, 213225.CrossRefGoogle Scholar
Merz, M. and Wüthrich, M.V. (2008) Prediction error in the chain ladder-method. Insurance Mathematics and Economics, 42, 378388.Google Scholar
Röhr, A. (2016) Chain Ladder and error propagation. ASTIN Bulletin, 46 (2), 293330.CrossRefGoogle Scholar