Regression model

Tail Risk Measures (Expected Shortfall, Spectral, Expectile)

Tail risk measures quantify the loss distribution beyond Value-at-Risk (VaR). Expected Shortfall — the expected loss given that VaR is exceeded — is the leading coherent risk measure, formalised by Artzner, Delbaen, Eber and Heath (1999) and shown to be coherent by Acerbi and Tasche (2002). Spectral and expectile-based measures generalise it.

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Sources

  1. Artzner, P., Delbaen, F., Eber, J.-M. & Heath, D. (1999). Coherent Measures of Risk. Mathematical Finance, 9(3), 203–228. DOI: 10.1111/1467-9965.00068
  2. Acerbi, C. & Tasche, D. (2002). On the Coherence of Expected Shortfall. Journal of Banking & Finance, 26(7), 1487–1503. DOI: 10.1016/S0378-4266(02)00283-2

Related methods

Referenced by

ScholarGateTail Risk Measures (Tail Risk Measures (Expected Shortfall, Spectral and Expectile Risk)). Retrieved 2026-06-04 from https://scholargate.app/tr/finance/tail-risk-measures