On the coherence of Expected Shortfall

Details On the coherence of Expected Shortfall On the coherence of Expected Shortfall

2001-04-17

arxiv.org/abs/cond-mat/0104295v5

Journal of Banking & Finance 26, 2002, pp. 1487-1503

Physics

Condensed Matter

Statistical Mechanics

18 pages, LaTeX + pdfLaTeX, appendix added

Scientific paper

Expected Shortfall (ES) in several variants has been proposed as remedy for the defi-ciencies of Value-at-Risk (VaR) which in general is not a coherent risk measure. In fact, most definitions of ES lead to the same results when applied to continuous loss distributions. Differences may appear when the underlying loss distributions have discontinuities. In this case even the coherence property of ES can get lost unless one took care of the details in its definition. We compare some of the definitions of Expected Shortfall, pointing out that there is one which is robust in the sense of yielding a coherent risk measure regardless of the underlying distributions. Moreover, this Expected Shortfall can be estimated effectively even in cases where the usual estimators for VaR fail. Key words: Expected Shortfall; Risk measure; worst conditional expectation; tail con-ditional expectation; value-at-risk (VaR); conditional value-at-risk (CVaR); tail mean; co-herence; quantile; sub-additivity.

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