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

Stephen J. TAYLOR, Pradeep K. YADAV, Yuanyuan ZHANG*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

84 Citations (Scopus)

Abstract

We measure the volatility information content of stock options for individual firms using option prices for 149 US firms and the S&P 100 index. We use ARCH and regression models to compare volatility forecasts defined by historical stock returns, at-the-money implied volatilities and model-free volatility expectations for every firm. For 1-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, at-the-money implied volatilities generally outperform the model-free volatility expectations.

Original languageEnglish
Pages (from-to)871-881
Number of pages11
JournalJournal of Banking and Finance
Volume34
Issue number4
Early online date27 Sept 2009
DOIs
Publication statusPublished - Apr 2010

Keywords

  • ARCH models
  • Implied volatility
  • Information content
  • Model-free volatility expectations
  • Stock options
  • Volatility

Cite this