4.3 Article

Bayes risk, elicitability, and the Expected Shortfall

Journal

MATHEMATICAL FINANCE
Volume 31, Issue 4, Pages 1190-1217

Publisher

WILEY
DOI: 10.1111/mafi.12313

Keywords

Bayes risk; elicitability; entropic risk measures; Expected Shortfall; quantiles

Funding

  1. National Natural Science Foundation of China [71671176, 71871208, 71921001]
  2. Natural Sciences and Engineering Research Council of Canada [NSERC RGPIN-2018-03823, RGPAS-2018-522590]

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Recent research introduces the concepts of Bayes pairs and Bayes risk measures, showing that Expected Shortfall is the only class of coherent Bayes risk measures under a continuity condition. Entropic risk measures are identified as the only risk measures that are both elicitable and Bayes. Several other theoretical properties and open questions regarding Bayes risk measures are discussed.
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.

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