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The multi-year non-life insurance risk in the additive reserving model: Quantification of multi-year non-life insurance risk in chain ladder reserving models (vol 52, pg 590, 2013)

机译:累加储备模型中的多年非人寿保险风险:链式梯形储备模型中的多年非人寿保险风险的量化(第52卷,第590页,2013年)

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摘要

This is the first study to derive closed-form analytical expressions for multi-year non-life insurance risk in the chain ladder model. Extending on previous research on the additive reserving model, we define multi-year risk via prediction errors of multi-year claims development results including both observed and future accident years. A resampling argument and a first-order Taylor approximation address the quantification of estimation errors and multiplicative dependencies in the chain ladder framework, respectively. From our generalized multi-year approach, we deduce estimators for reserve and premium risks in multi-year view and their implicit correlation. We reproduce well-known results from literature for the special cases of one-year and ultimo view. Further, we comment on how to obtain estimators for generalized versions of the chain ladder method. A case study demonstrates the applicability of our analytical formulae. (C) 2015 Elsevier B.V. All rights reserved.
机译:这是第一项在链梯模型中得出多年非寿险风险的封闭式分析表达式的研究。在先前关于加性储备模型的研究的基础上,我们通过多年索赔开发结果的预测误差(包括观察年和未来事故年)来定义多年风险。重采样参数和一阶泰勒逼近分别解决了链梯形图框架中估计误差的量化和乘性依赖性。从我们的广义多年期方法,我们可以从多年期及其隐含相关性推断出准备金和溢价风险的估计量。我们从文献中再现了一年期和多期特例的著名结果。此外,我们评论了如何获得链式梯形图方法的广义版本的估计量。案例研究证明了我们的分析公式的适用性。 (C)2015 Elsevier B.V.保留所有权利。

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