Skip to main content
Log in

The Class of Polyhedral Coherent Risk Measures

  • Published:
Cybernetics and Systems Analysis Aims and scope

Abstract

The class of polyhedral coherent risk measures that are used in making decisions under uncertainty is investigated. Operations are introduced on the measures of this class, and properties of these measures are studied. The problems of portfolio optimization based on the profitability-risk ratio for such risk measures are proved to be reducible to the corresponding linear programming problems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  1. H. M. Markowitz, “Portfolio selection,” J. Finance, 7(1), 77–91 (1952).

    Google Scholar 

  2. P. H. Jorion, Value at Risk: A New Benchmark for Measuring Derivative, Irwin Profes. Publ., New York (1996).

    Google Scholar 

  3. H. Konno and H. Yamazaki, “Mean absolute deviation portfolio optimization model and its application to Tokyo stock market,” Manag. Sci., 37, 519–531 (1991).

    Google Scholar 

  4. W. Ogryczak and A. Ruszczynski, “From stochastic dominance to mean-risk models: Semideviation as risk measures,” Eur. J. Oper. Res., 116, 33–50 (1999).

    Google Scholar 

  5. P. Artzner, F. Delbaen, J.-M. Eber, and D. Heath, “Coherent measures of risks,” Math. Finance, 9, 203–227 (1999).

    Google Scholar 

  6. R. T. Rockafellar and S. Uryasev, “Optimization of conditional value-at-risk,” J. Risk, 2, 21–42 (2000).

    Google Scholar 

  7. R. T. Rockafellar and S. Uryasev, “Conditional value-at-risk for general loss distribution,” J. Banking and Finance, 26, 1443–1471 (2002).

    Google Scholar 

  8. C. Acerbi and D. Tasche, “Expected shortfall: A natural coherent alternative to value at risk,” Econ. Notes, 31(2), 379–388 (2002).

    Google Scholar 

  9. C. Acerbi, “Spectral measures of risk: A coherent representation of subjective risk aversion,” J. Banking and Finance, 26(7), 1505–1518 (2002).

    Google Scholar 

  10. V. S. Kirilyuk, “Coherent risk measures and the optimal portfolio problem,” in: Theory of Optimal Solutions, 2, V. M. Glushkov Cybernetics Institute of NASU, Kiev (2003), pp. 111–119.

    Google Scholar 

  11. M. R. Young, “A minimax portfolio selection rule with linear programming solution,” Manag. Sci., 44 673–683 (1998).

    Google Scholar 

  12. D. Kahneman and A. Tversky, “Prospect theory of decisions under risk,” Econometrica, 47(2), 263–291 (1979).

    Google Scholar 

  13. R. Rockafellar, Convex Analysis [Russian translation], Nauka, Moscow (1973).

    Google Scholar 

  14. H. Levy, “Stochastic dominance and expected utility: Survey and analysis,” Manag. Sci., 38(4), 555–593 (1992).

    Google Scholar 

  15. J. Von Neumann and O. Morgenstern, Theory of Games and Economic Behavior [Russian translation], Nauka, Moscow (1970).

    Google Scholar 

  16. S. Yitzhaki, “Stochastic dominance, mean variance, and Gini's mean difference,” Amer. Econom. Rev., 72, 178–185 (1982).

    Google Scholar 

  17. D. B. Yudin and Ye. G. Golshtein, Linear Programming (Theory, Methods, and Applications) [in Russian], Nauka, Moscow (1969).

    Google Scholar 

  18. G. Pflug, “Some remarks on the value-at-risk and the conditional value-at-risk,” in: S. Uryasev (ed.), Probabilistic Constrained Optimization: Methodology and Applications, Kluwer Acad., Dordrecht (2000), pp. 272–281.

    Google Scholar 

  19. S. Benati, “The computation of the worst conditional expectation,” Eur. J. Oper. Res., 155(2), 414–425 (2004).

    Google Scholar 

  20. S. Benati, “The optimal portfolio problem with coherent risk measure constraints,” Eur. J. Oper. Res., 150(3), 572–584 (2003).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kirilyuk, V.S. The Class of Polyhedral Coherent Risk Measures. Cybernetics and Systems Analysis 40, 599–609 (2004). https://doi.org/10.1023/B:CASA.0000047881.82280.e2

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:CASA.0000047881.82280.e2

Navigation