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A coherent risk measure is a risk measure ρ that satisfies properties of monotonicity, sub-additivity, homogeneity, and translational invariance. Consider a random outcome X viewed as an element of a linear space
Properties
Convex Risk MeasuresThe notion of coherence was subsequently relaxed by [2] to the notion of convexity, where Sub-additivity and Positive Homogeneity have been replaced by
Example: Value at RiskIt is well known that Value at risk is not, in general, a coherent risk measure as it does not respect the sub-additivity property. An immediate consequence is that Value at risk might discourage diversification. Value at risk is, however, coherent, under the assumption of normally distributed losses. Example: Average Value at RiskThe Average Value at Risk (sometimes called Expected Shortfall or Conditional Value-at-Risk) is a coherent risk measure. Example: Entropic Risk MeasureThe Entropic Risk Measure is a convex risk measure which is not coherent. It is related to the exponential utility. References[1] Artzner, Philippe, Freddy Delbaen, Jean-Marc Eber, David Heath (1999). Coherent Measures of Risk, Mathematical Finance 9 no. 3, 203-228 [2] Föllmer, H., Schied, A. (2002). Convex measures of risk and trading constraints. Finance and Stochastics 6(4), 429-447. External linksA list of important papers on Coherent and Convex Risk Measures See also
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