Method evidence record
Tail Risk Measures
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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Tail Risk Measures (Expected Shortfall, Spectral and Expectile Risk)
Taxonomic method record · regression-model / finance
- 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
- 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
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