保险公司操作风险的情景分析方法

ACTA VSFS Pub Date : 2020-11-01 DOI:10.37355/acta-2020/2-05
M. Vyskočil
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引用次数: 0

摘要

本文讨论了偿付能力II规定下保险公司操作风险所需资本计算的可能性,并提出了保险公司操作风险所需资本计算模型。本文讨论并比较了频率分布和严重程度分布,其中频率选择泊松,严重程度选择对数正态。在计算中,仅使用真实场景和小型CEEinsurance公司的数据,通过蒙特卡罗模拟来查看构建模型所需的三个主要参数(典型影响,最坏情况影响和频率)的影响,以计算99.5%的VaR。本文提出了计算资本的参数敏感性和比率敏感性。从数据库中得出了两个与敏感性相关的结论,第一个结论是频率在区间(0;1)中的影响比在区间以上对计算资本的影响要高得多,第二个结论是最坏情况和典型情况的比率,我们看到,如果比率在150左右或更高,计算资本的增长速度比在场景计算中显示的比率增加得更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scenario Analysis Approach for Operational Risk in Insurance Companies
The article deals with the possibility of calculating the required capital in insurance companies allocated to operational risk under Solvency II regulation and the aim of this article is to come up with model that can be use in insurance companies for calculating operational risk required capital. In the article were discussed and compared the frequency and severity distributions where was chosen Poisson for frequency and Lognormal for severity. For the calculation, was used only the real scenario and data from small CEE insurance company to see the effect of the three main parameters (typical impact, Worst case impact and frequency) needed for building the model for calculation 99,5% VaR by using Monte Carlo simulation. Article comes up with parameter sensitivity and/or ratio sensitivity on calculating capital. From the database arose two conclusions related to sensitivity where the first is that the impact of frequency is much higher in the interval (0;1) than above the interval to calculated capital and second conclusion is Worst case and Typical Case ratio, where we saw that if the ratio is around 150 or higher the calculated capital is increasing faster that the ration increase demonstrated on the scenario calculation.
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