Coherent Risk Measures and Convex Combinations of the Conditional Value at Risk (C V@R)

Authors

  • Georg Ch. Pflug Department of Statistics and Decision Support Systems University of Vienna

DOI:

https://doi.org/10.17713/ajs.v31i1.471

Abstract

The conditional-value-at-risk (C V@R) has been widely used as a risk measure. It is well known, that C V@R is coherent in the sense of Artzner, Delbaen, Eber, Heath (1999). The class of coherent risk measures is convex. It was conjectured, that all coherent risk measures can be represented as convex combinations of C V@R’s. In this note we show that this conjecture is wrong.

References

P. Artzner, F. Delbaen, J.-M. Eber, and D. Heath. Coherent measures of risk. Mathematical Finance, 9:203–228, 1999.

P.C. Fishburn. Stochastic dominance and moments of distributions. Mathematics of Operations Research, 5:94–100, 1980.

G. Pflug. Some remarks on the Value-at-Risk and the conditional Value-at-Risk. In S. Uryasev, editor, Probabilistic Constrained Optimization – Methodology and Applications, pages 272–281, Kluwer Academic Publishers, 2000.

S. Uryasev and R.T. Rockafellar. Optimization of conditional Value-at-Risk. The Journal of Risk, 2(3):21–41, 2000.

S. Uryasev. Conditional Value-at-Risk: Optimization algorithms and applications. Financial Engineering News 14, February 2000.

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Published

2016-04-03

Issue

Section

Articles

How to Cite

Coherent Risk Measures and Convex Combinations of the Conditional Value at Risk (C V@R). (2016). Austrian Journal of Statistics, 31(1), 73-75. https://doi.org/10.17713/ajs.v31i1.471