Spectral risk measure
From Wikipedia, the free encyclopedia
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.
Contents |
[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 . The measure defined by is a spectral measure of risk (Acerbi 2002) if satisfies the conditions
- Nonnegativity: for all ,
- Normalization: ,
- Monotonicity : φs is non-increasing, that is if s1 < s2
and .
[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