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Risk Measurement by G-Expected Shortfall

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  • Ziting Pei
  • Xuhui Wang
  • Xingye Yue

Abstract

G-expected shortfall (G-ES), which is a new type of worst-case expected shortfall (ES), is defined as measuring risk under infinite distributions induced by volatility uncertainty. Compared with extant notions of the worst-case ES, the G-ES can be computed using an explicit formula with low computational cost. We also conduct backtests for the G-ES. The empirical analysis demonstrates that the G-ES is a reliable risk measure.

Suggested Citation

  • Ziting Pei & Xuhui Wang & Xingye Yue, 2021. "Risk Measurement by G-Expected Shortfall," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, April.
  • Handle: RePEc:hin:jnlmpe:6611237
    DOI: 10.1155/2021/6611237
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