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Stock return dynamics, option volume, and the information content of implied volatility

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  • Stewart Mayhew
  • Chris Stivers

Abstract

This article reports new empirical results on the information content of implied volatility, with respect to modeling and forecasting the volatility of individual firm returns. The 50 firms with the highest option volume on the Chicago Board Options Exchange between 1988 and 1995 are examined. First, the results indicate that the ability of implied volatility to subsume all relevant information about conditional variance depends on option trading volume. For the most active options in the sample, implied volatility reliably outperforms GARCH and subsumes all information in return shocks beyond the first lag. For these active options, implied volatility performs substantially better than indicated by the prior results of Lamoureux and Lastrapes ( 1993 ), despite significant methodological improvements in the time‐series volatility models in this study including the use of high‐frequency intraday return shocks. For the lower option‐volume firms in the sample, the performance of implied volatility deteriorates relative to time‐series volatility models. Finally, compared to a time‐series approach, the implied volatility of equity index options provides reliable incremental information about future firm‐level volatility. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:615–646, 2003

Suggested Citation

  • Stewart Mayhew & Chris Stivers, 2003. "Stock return dynamics, option volume, and the information content of implied volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(7), pages 615-646, July.
  • Handle: RePEc:wly:jfutmk:v:23:y:2003:i:7:p:615-646
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    Cited by:

    1. Doojin Ryu & Doowon Ryu & Heejin Yang, 2021. "The impact of net buying pressure on index options prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 27-45, January.
    2. J. -H. Chen & C. -Y. Huang, 2010. "An analysis of the spillover effects of exchange-traded funds," Applied Economics, Taylor & Francis Journals, vol. 42(9), pages 1155-1168.
    3. Najmi Ismail Murad Samsudin & Azhar Mohamad & Imtiaz Mohammad Sifat & Zarinah Hamid, 2022. "Predictive power of implied volatility of structured call warrants: Evidence from Singapore," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4412-4430, October.
    4. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    5. Murad Samsudin, Najmi Ismail & Mohamad, Azhar & Sifat, Imtiaz Mohammad, 2021. "Implied volatility of structured warrants: Emerging market evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 464-479.
    6. Stivers, Chris & Sun, Licheng, 2013. "Returns and option activity over the option-expiration week for S&P 100 stocks," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4226-4240.
    7. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.
    8. Xiaoxi Liu & Jinming Xie, 2023. "Forecasting swap rate volatility with information from swaptions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 455-479, April.
    9. Xiaoxi Liu & Jinming Xie, 2023. "Forecasting swap rate volatility with information from swaptions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 455-479, April.
    10. 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.
    11. Miroslav Mateev & Elena Marinova, 2019. "Relation between Credit Default Swap Spreads and Stock Prices: A Non-linear Perspective," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 1-26, January.

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