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The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks

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  • Taylor, Stephen J.
  • Yadav, Pradeep K.
  • Zhang, Yuanyuan

Abstract

The volatility information content of stock options for individual firms is measured using option prices for 149 U.S. firms and the S&P 100 index. ARCH and regression models are used to compare volatility forecasts defined by historical stock returns, at-the-money implied volatilities and model-free volatility expectations for every firm. For one-day-ahead estimation, a historical ARCH model outperforms both of the volatility estimates extracted from option prices for 36% of the firms, but the option forecasts are nearly always more informative for those firms that have the more actively traded options. When the prediction horizon extends until the expiry date of the options, the option forecasts are more informative than the historical volatility for 85% of the firms. However, the model-free volatility expectations are generally outperformed by the at-the-money implied volatilities.

Suggested Citation

  • Taylor, Stephen J. & Yadav, Pradeep K. & Zhang, Yuanyuan, 2009. "The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks," CFR Working Papers 09-07, University of Cologne, Centre for Financial Research (CFR).
  • Handle: RePEc:zbw:cfrwps:0907
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    References listed on IDEAS

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    Cited by:

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    2. Cathy Chen & I-Doun Kuo, 2014. "Investor sentiment and interest rate volatility smile: evidence from Eurodollar options markets," Review of Quantitative Finance and Accounting, Springer, vol. 43(2), pages 367-391, August.
    3. Chen, Cathy Yi-Hsuan & Kuo, I-Doun, 2015. "Survey sentiment and interest rate option smile," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 125-137.

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    More about this item

    Keywords

    Volatility; Stock options; Information content; Implied volatility; Model-free volatility expectations; ARCH models;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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