CVAR公司
操作风险
预期短缺
风险管理
极值理论
风险价值
价值(数学)
风险度量
风险分析(工程)
计量经济学
度量(数据仓库)
精算学
统计
计算机科学
数学
经济
业务
财务
数据挖掘
文件夹
作者
Fengge Yao,Hongmei Wen,Jiaqi Luan
出处
期刊:Mathematical and Computer Modelling
[Elsevier]
日期:2012-08-09
卷期号:58 (1-2): 15-27
被引量:19
标识
DOI:10.1016/j.mcm.2012.07.013
摘要
Management of operational risk is of prime importance in risk management for commercial banks, and many theoretical and practical studies of operational risk management have been carried out. Conditional value-at-risk (CVaR) models based on the peak value method of extreme value theory are used here to measure operational risk. Loss data for commercial banks are used in an empirical analysis. Tests are carried out using a CVaR model to calculate VaR and CVaR at 95% and 99% confidence levels to assess expected and unexpected losses for operational risks.
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