Spectral risk measure

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A Spectral risk measure is a risk measure given as a weighted average of outcomes (which are standardly assumed to be equiprobable) where bad outcomes are included with larger weights.

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[edit] Definition

Consider a portfolio X. There are S equiprobable outcomes with the corresponding payoffs given by the order statistics X1:S,...XS:S. Let \phi\in\mathbb{R}^S. The measure M_{\phi}:\mathbb{R}^S\rightarrow \mathbb{R} defined by M_{\phi}(X)=-\delta\sum_{s=1}^S\phi_sX_{s:S} is a spectral measure of risk (Acerbi 2002) if \phi\in\mathbb{R}^S satisfies the conditions

  1. Nonnegativity: \phi_s\geq0 for all s=1, \dots, S,
  2. Normalization: \sum_{s=1}^S\phi_s=1,
  3. Monotonicity : φs is non-increasing, that is \phi_{s_1}\geq\phi_{s_2} if s1 < s2

and {s_1}, {s_2}\in\{1,\dots,S\}.

[edit] Properties

Spectral risk measures are also coherent.

[edit] Examples

The expected shortfall is a spectral measure of risk.

The expected value is -trivially- also a spectral measure of risk.

[edit] References

Acerbi, Carlo, “Spectral measures of risk: A coherent representation of subjective risk aversion”, Journal of Banking and Finance (Elsevier) 26: 1505-1518, 2002, DOI 10.1016/S0378-4266(02)00281-9