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Risk Measures: Robustness, Elicitability, and Backtesting
Annual Review of Statistics and Its Application ( IF 7.4 ) Pub Date : 2022-03-07 , DOI: 10.1146/annurev-statistics-030718-105122
Xue Dong He 1 , Steven Kou 2 , Xianhua Peng 3
Affiliation  

Risk measures are used not only for financial institutions’ internal risk management but also for external regulation (e.g., in the Basel Accord for calculating the regulatory capital requirements for financial institutions). Though fundamental in risk management, how to select a good risk measure is a controversial issue. We review the literature on risk measures, particularly on issues such as subadditivity, robustness, elicitability, and backtesting. We also aim to clarify some misconceptions and confusions in the literature. In particular, we argue that, despite lacking some mathematical convenience, the median shortfall—that is, the median of the tail loss distribution—is a better option than the expected shortfall for setting the Basel Accords capital requirements due to statistical and economic considerations such as capturing tail risk, robustness, elicitability, backtesting, and surplus invariance.

中文翻译:


风险度量:稳健性、可引出性和回测

风险度量不仅用于金融机构的内部风险管理,也用于外部监管(例如,在巴塞尔协议中计算金融机构的监管资本要求)。虽然是风险管理的基础,但如何选择一个好的风险度量是一个有争议的问题。我们回顾了有关风险度量的文献,特别是关于子可加性、稳健性、可引出性和回测等问题的文献。我们还旨在澄清文献中的一些误解和混淆。特别是,我们认为,尽管缺乏一些数学上的便利,但由于统计和经济方面的考虑,中位数缺口(即尾部损失分布的中位数)比设定巴塞尔协议资本要求的预期缺口更好。作为捕捉尾部风险,

更新日期:2022-03-07
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