Bayes risk, elicitability, and the Expected Shortfall

被引:14
|
作者
Embrechts, Paul [1 ,2 ]
Mao, Tiantian [3 ]
Wang, Qiuqi [4 ]
Wang, Ruodu [4 ]
机构
[1] Swiss Fed Inst Technol, Dept Math, RiskLab, Zurich, Switzerland
[2] Swiss Fed Inst Technol, ETH Risk Ctr, Zurich, Switzerland
[3] Univ Sci & Technol China, Sch Management, Hefei, Anhui, Peoples R China
[4] Univ Waterloo, Dept Stat & Actuarial Sci, Waterloo, ON, Canada
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
Bayes risk; elicitability; entropic risk measures; Expected Shortfall; quantiles; BACKTESTING PERSPECTIVES; REPRESENTATION; CONVEXITY;
D O I
10.1111/mafi.12313
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Motivated by recent advances on elicitability of risk measures and practical considerations of risk optimization, we introduce the notions of Bayes pairs and Bayes risk measures. Bayes risk measures are the counterpart of elicitable risk measures, extensively studied in the recent literature. The Expected Shortfall (ES) is the most important coherent risk measure in both industry practice and academic research in finance, insurance, risk management, and engineering. One of our central results is that under a continuity condition, ES is the only class of coherent Bayes risk measures. We further show that entropic risk measures are the only risk measures which are both elicitable and Bayes. Several other theoretical properties and open questions on Bayes risk measures are discussed.
引用
收藏
页码:1190 / 1217
页数:28
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