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Risk and Return Measures for a Non-Gaussian World

Author

Listed:
  • Powers, Michael R.

    () (Temple University, Tsinghua University)

  • Powers, Thomas Y.

    () (Yale University)

Abstract

We propose new measures of both risk and anticipated return that incorporate the effects of skewness and heavy tails from a financial return’s probability distribution. Our cosine-based analysis, which involves maximizing the marginal Shannon information associated with the Fourier transform of the distribution’s probability density function, also facilitates the use of Lévy-stable distributions for asset prices, as suggested by Mandelbrot (1963). The new measures generalize the concepts of standard deviation and mean in the sense that they simplify to constant multiples of these widely used parameters in the case of Gaussian returns.

Suggested Citation

  • Powers, Michael R. & Powers, Thomas Y., 2009. "Risk and Return Measures for a Non-Gaussian World," Journal of Financial Transformation, Capco Institute, vol. 25, pages 51-54.
  • Handle: RePEc:ris:jofitr:0937
    as

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    More about this item

    Keywords

    Risk; anticipated return; portfolio theory; Gaussian distribution; skewness; heavy tails; Lévy-stable family; Shannon information; Fourier transform; characteristic function;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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