Study of Characteristics of One-Year and Ultimate Reserve Risk Distributions Based on Market Data

M. Szatkowski
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Abstract

In this work, we perform an analysis of commonly used characteristics of the one-year and ultimate reserve risk distributions: duration, first development factor, coefficient of variation, skewness coefficient, skewness-to-CoV ratio, aggregated emergence factor, emergence pattern, and risk margin run-off pattern for the standard deviation based risk measure and for the best-estimate reserves scaled risk measure approach. Our study is based on empirical data for two European markets: Polish and Slovak. We provide benchmarks and ranges for the considered characteristics, as well as analyse the relations between them. We examine and assess the results for all Solvency II LoBs and we also compare the coefficient of variation results to the Standard Formula reserve risk standard deviations. We investigate more deeply the topic of emergence pattern - we analyse the impact of different characteristics of the claims triangle on its structure.
基于市场数据的一年期及最终准备金风险分布特征研究
在本文中,我们对基于标准差的风险度量方法和最佳估计储量标度风险度量方法的一年期和最终准备金风险分布的常用特征:持续时间、首次发展因子、变异系数、偏度系数、偏度-冠状病毒比、汇总紧急因子、紧急模式和风险边际径流模式进行了分析。我们的研究基于两个欧洲市场的实证数据:波兰和斯洛伐克。我们为所考虑的特征提供基准和范围,并分析它们之间的关系。我们检查和评估所有偿付能力II lob的结果,并将变异系数结果与标准公式准备金风险标准差进行比较。我们更深入地研究了涌现模式的主题-我们分析了索赔三角的不同特征对其结构的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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