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
相关论文
共 50 条
  • [21] Distortion risk measures: Prudence, coherence, and the expected shortfall
    Amarante, Massimiliano
    Liebrich, Felix-Benedikt
    MATHEMATICAL FINANCE, 2024, 34 (04) : 1291 - 1327
  • [22] On approximations of value at risk and expected shortfall involving kurtosis
    Barczy, Matyas
    Dudas, Adam
    Gall, Jozsef
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2023, 52 (03) : 770 - 794
  • [23] Climate value at risk and expected shortfall for Bitcoin market
    Yang, Lu
    Xu, Haifeng
    CLIMATE RISK MANAGEMENT, 2021, 32
  • [24] Empirical likelihood for value-at-risk and expected shortfall
    Baysal, Rafet Evren
    Staum, Jeremy
    JOURNAL OF RISK, 2008, 11 (01): : 3 - 32
  • [25] Adjusted empirical likelihood for value at risk and expected shortfall
    Yan, Zhen
    Zhang, Junjian
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 46 (05) : 2580 - 2591
  • [26] Calculation of Expected Shortfall for Measuring Risk and Its Applications
    阎春宁
    余鹏
    黄养新
    Journal of Shanghai University, 2005, (01) : 90 - 94
  • [27] Risk concentration and the mean-expected shortfall criterion
    Han, Xia
    Wang, Bin
    Wang, Ruodu
    Wu, Qinyu
    MATHEMATICAL FINANCE, 2024, 34 (03) : 819 - 846
  • [28] Dependent bootstrapping for value-at-risk and expected shortfall
    Ian Laker
    Chun-Kai Huang
    Allan Ernest Clark
    Risk Management, 2017, 19 : 301 - 322
  • [29] Dependent bootstrapping for value-at-risk and expected shortfall
    Laker, Ian
    Huang, Chun-Kai
    Clark, Allan Ernest
    RISK MANAGEMENT-JOURNAL OF RISK CRISIS AND DISASTER, 2017, 19 (04): : 301 - 322
  • [30] Monitoring Value-at-Risk and Expected Shortfall Forecasts
    Hoga, Yannick
    Demetrescu, Matei
    MANAGEMENT SCIENCE, 2023, 69 (05) : 2954 - 2971