Distortion Risk Measures and Elicitability
We discuss equivalent axiomatic characterizations of distortion risk measures, and give a novel and concise proof of the characterization of elicitable distortion risk measures. Elicitability has recently been discussed as a desirable criterion for risk measures, motivated by statistical considerations of forecasting. We reveal the mathematical conflict between the requirements of elicitability and comonotonic additivity which intuitively explains why only Value-at-Risk and the mean are elicitable distortion risk measures in a general sense.
Year of publication: |
2014-05
|
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Authors: | Wang, Ruodu ; Ziegel, Johanna F. |
Institutions: | arXiv.org |
Saved in:
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