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Spectral Risk Measures: Properties and Limitations

Author

Listed:
  • Kevin Dowd

    (Centre for Risk and Insurance Studies, Nottingham University Business School)

  • John Cotter

    (Centre for Financial Markets, School of Business, University College Dublin)

  • Ghulam Sorwar

    (Nottingham University Business School)

Abstract

Spectral risk measures (SRMs) are risk measures that take account of user risk-aversion, but to date there has been little guidance on the choice of utility function underlying them. This paper addresses this issue by examining alternative approaches based on exponential and power utility functions. A number of problems are identified with both types of spectral risk measure. The general lesson is that users of spectral risk measures must be careful to select utility functions that fit the features of the particular problems they are dealing with, and should be especially careful when using power SRMs.

Suggested Citation

  • Kevin Dowd & John Cotter & Ghulam Sorwar, 2010. "Spectral Risk Measures: Properties and Limitations," Working Papers 200839, Geary Institute, University College Dublin.
    • Handle: RePEc:ucd:wpaper:200839
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    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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