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Information content of volatility spreads

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  • Byung Jin Kang
  • Tong Suk Kim
  • Sun‐Joong Yoon

Abstract

This study reexamines the determinants of volatility spreads and suggests a new forecast of future volatilities. Contrary to earlier volatility forecasts, the newly introduced forecast is applicable when investors are not risk‐neutral or when underlying returns do not follow a Gaussian probability distribution. This implies that the method is consistent with the presence of risk premia for other risks such as volatility risk. Using S&P 500 index options, we show that the new volatility forecast outperforms other volatility forecasts including risk‐neutral implied volatility and historical volatility in two aspects. First, the new forecast is superior to other estimates in terms of forecasting errors for future realized volatilities. Second, it is an unbiased estimator of future realized volatilities. This is shown using an encompassing regression analysis. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:533–558, 2010

Suggested Citation

  • Byung Jin Kang & Tong Suk Kim & Sun‐Joong Yoon, 2010. "Information content of volatility spreads," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(6), pages 533-558, June.
    • Handle: RePEc:wly:jfutmk:v:30:y:2010:i:6:p:533-558
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    Cited by:

    1. Pan, Ging-Ginq & Shiu, Yung-Ming & Wu, Tu-Cheng, 2024. "Extrapolation and option-implied kurtosis in volatility forecasting," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    2. Datta, Deepa Dhume & Londono, Juan M. & Ross, Landon J., 2017. "Generating options-implied probability densities to understand oil market events," Energy Economics, Elsevier, vol. 64(C), pages 440-457.
    3. Ricardo Crisóstomo, 2021. "Estimating real‐world probabilities: A forward‐looking behavioral framework," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1797-1823, November.
    4. Apostolos Kourtis & Raphael N. Markellos & Lazaros Symeonidis, 2016. "An International Comparison of Implied, Realized, and GARCH Volatility Forecasts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(12), pages 1164-1193, December.
    5. Zhi Dong & Tien Foo Sing, 2021. "Do Investors Overreact for Property and Financial Service Sectors?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 20(1), pages 79-123, April.
    6. Renato Faccini & Eirini Konstantinidi & George Skiadopoulos & Sylvia Sarantopoulou-Chiourea, 2019. "A New Predictor of U.S. Real Economic Activity: The S&P 500 Option Implied Risk Aversion," Management Science, INFORMS, vol. 65(10), pages 4927-4949, October.
    7. Yoon, Sun-Joong, 2017. "Time-varying risk aversion and return predictability," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 327-339.
    8. Jiang, Zhengyun & Zhou, Xin, 2024. "Trading activity, risk aversion, and risk neutral skewness: Evidence from SSE 50ETF option," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 378-399.
    9. Kelley Bergsma & Vivien Csapi & Dean Diavatopoulos & Andy Fodor, 2020. "Show me the money: Option moneyness concentration and future stock returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 761-775, May.

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