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Oct 28, 2016 · In the chain ladder model of Schnaus, all modified chain ladder predictors are unbiased. This raises the question of whether there is another quality that distinguishes the chain ladder predictors of a given future cumulative loss at least from all other modified chain ladder predictors of the same cumulative loss.
- Klaus Th. Hess, Klaus D. Schmidt, Anja Schnaus
- 2016
The model allows to characterize optimality of the chain ladder factors as predictors of non-observable development factors and hence optimality of the chain ladder predictors of aggregate claims at the end of the first non-observable calendar year.
- Klaus D. Schmidt, Anja Schnaus
- 1996
chain-ladder bias The issue of chain-ladder bias was raised by James N. Stanard in his 1985 Proceedings pa-per, “A Simulation Test of Prediction Errors of Loss Reserve Estimation Techniques” [15]. Sta-nard simulated thousands of (5£5)2 loss rectan-gles,appliedfourprojectionmethods(viz.,chain-ladder or age-to-age, Bornhuetter-Ferguson,
Dec 1, 2002 · A particularly interesting model was proposed by Mack (1993, 1994a,b): Under the assumptions of his model, Mack proved that the chain ladder predictors of non-observable aggregate claims are ...
Dec 20, 2002 · The comparison results in a flow chart for model selection which may help to decide in a specific situation whether the chain–ladder method should be applied or not. 1. Introduction. The chain–ladder method is the most popular method of loss reserving. In its origin, it is nothing else than a heuristic and appealing algorithm.
- Klaus Th. Hess, Klaus D. Schmidt
- 2002
Sep 1, 2009 · The chain ladder forecast of outstanding losses is known to be unbiased under suitable assumptions. According to these assumptions, claim payments in any cell of a payment triangle are dependent ...
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a model in which the chain ladder predictor of ultimate aggregate claims turns out to be unbiased. 1. INTRODUCTION The chain ladder method is a simple and suggestive tool in claims reserving, and vari- ous attempts have been made aiming at its justification in a stochastic model. Remar-