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Dispersion trading: Empirical evidence from U.S. options markets

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  • Marshall, Cara M.

Abstract

This paper develops empirical evidence on the viability of a form of volatility trading known as "dispersion trading." The results shed light on the efficiency with which U.S. options markets price volatility. Using end-of-day implied volatilities extracted from equity option prices for the stocks that comprise the S&P 500, the implied volatility of the S&P 500 is computed using a modification of the Markowitz variance equation. This Markowitz-implied volatility is then compared to the implied volatility of the S&P 500 extracted directly from index options on the S&P 500. These contemporaneous measures of implied volatility are then examined for exploitable discrepancies both with and without transaction costs. The study covers the period October 31, 2005 through November 1, 2007. It is shown that, from a trader's perspective, index option implied volatility tended to be more often "rich" and component volatilities tended to be more often "cheap." Nevertheless, there were times when the opposite was true; suggesting that potential dispersion trades can run in either direction.

Suggested Citation

  • Marshall, Cara M., 2009. "Dispersion trading: Empirical evidence from U.S. options markets," Global Finance Journal, Elsevier, vol. 20(3), pages 289-301.
    • Handle: RePEc:eee:glofin:v:20:y:2009:i:3:p:289-301
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    References listed on IDEAS

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    1. Joshua D. Coval & Tyler Shumway, 2001. "Expected Option Returns," Journal of Finance, American Finance Association, vol. 56(3), pages 983-1009, June.
    2. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    3. Christensen, B. J. & Prabhala, N. R., 1998. "The relation between implied and realized volatility," Journal of Financial Economics, Elsevier, vol. 50(2), pages 125-150, November.
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    Cited by:

    1. Oleg Sokolinskiy, 2020. "Conditional dependence in post-crisis markets: dispersion and correlation skew trades," Review of Quantitative Finance and Accounting, Springer, vol. 55(2), pages 389-426, August.
    2. Lucas Schneider & Johannes Stübinger, 2020. "Dispersion Trading Based on the Explanatory Power of S&P 500 Stock Returns," Mathematics, MDPI, vol. 8(9), pages 1-22, September.
    3. Ravi Kashyap, 2019. "Concepts, Components and Collections of Trading Strategies and Market Color," Papers 1910.02144, arXiv.org, revised Jan 2020.

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