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Trading volatility spreads: a test of index option market efficiency

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  • Ser‐Huang Poon
  • Peter, F. Pope

Abstract

If returns on two assets share common volatility components, the prices of options on the assets should be interdependent and the implied volatility spread should mean revert. We first demonstrate, using the canonical correlation method, that there is a common component in the volatilities of the returns on S&P 100 and S&P 500 indices. We then exploit this commonality by trading on the volatility spread between tick‐by‐tick OEX and SPX call options listed on the CBOE. Our vega‐delta‐neutral strategies generated significant profits, even after transaction costs are taken into account. The results suggest that the two options markets are not jointly efficient.

Suggested Citation

  • Ser‐Huang Poon & Peter, F. Pope, 2000. "Trading volatility spreads: a test of index option market efficiency," European Financial Management, European Financial Management Association, vol. 6(2), pages 235-260, June.
    • Handle: RePEc:bla:eufman:v:6:y:2000:i:2:p:235-260
    DOI: 10.1111/1468-036X.00122
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    Cited by:

    1. Guo, Biao & Han, Qian & Lin, Hai, 2015. "Forecasting the Term Structure of Implied Volatilities," Working Paper Series 6189, Victoria University of Wellington, School of Economics and Finance.
    2. Konstantinidi, Eirini & Skiadopoulos, George, 2011. "Are VIX futures prices predictable? An empirical investigation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 543-560.
    3. McAleer, Michael & Wiphatthanananthakul, Chatayan, 2010. "A simple expected volatility (SEV) index: Application to SET50 index options," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(10), pages 2079-2090.
    4. Ahoniemi, Katja & Lanne, Markku, 2009. "Joint modeling of call and put implied volatility," International Journal of Forecasting, Elsevier, vol. 25(2), pages 239-258.
    5. Wiphatthanananthakul, C. & McAleer, M.J., 2008. "A simple expected volatility (SEV) index," Econometric Institute Research Papers EI 2008-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. George Skiadopoulos, 2004. "The Greek implied volatility index: construction and properties," Applied Financial Economics, Taylor & Francis Journals, vol. 14(16), pages 1187-1196.
    7. Konstantinidi, Eirini & Skiadopoulos, George & Tzagkaraki, Emilia, 2008. "Can the evolution of implied volatility be forecasted? Evidence from European and US implied volatility indices," Journal of Banking & Finance, Elsevier, vol. 32(11), pages 2401-2411, November.
    8. Biao Guo & Qian Han & Hai Lin, 2018. "Are there gains from using information over the surface of implied volatilities?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 645-672, June.

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