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Extracting Model-Free Volatility from Option Prices: An Examination of the Vix Index

George J. Jiang
University of Arizona - Eller College of Management

Yisong S. Tian
York University - Schulich School of Business



Journal of Derivatives, Vol. 14, No. 3, 2007

Abstract:     
The Chicago Board Options Exchange (CBOE) recently redesigned its widely followed VIX volatility index. While the new VIX is conceptually more appealing than its predecessor, the CBOE's implementation of the index is flawed. Using option prices simulated under typical market conditions, we show that the CBOE procedure may underestimate the true volatility by as much as 198 index basis points or overestimate it by as much as 79 index basis points. As each index basis point is worth $10 per VIX futures contract, these errors are economically significant. More importantly, these errors exhibit predictable patterns in relations to volatility levels. We propose a simple solution to fix the problems, based on a smooth interpolation-extrapolation of the implied volatility function. This alternative method is accurate and robust across a wide range of model specifications and market conditions.

Keywords: volatility index, VIX, investor fear gauge, volatility smile, fair value of future variance, model-free implied volatility

JEL Classifications: G13, G14

Working Paper Series

Date posted: February 08, 2006 ; Last revised: April 13, 2008

Suggested Citation

Jiang, George J. and Tian, Yisong S., Extracting Model-Free Volatility from Option Prices: An Examination of the Vix Index. Journal of Derivatives, Vol. 14, No. 3, 2007. Available at SSRN: http://ssrn.com/abstract=880459


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Contact Information

Yisong Sam Tian (Contact Author)
York University - Schulich School of Business ( email )
4700 Keele Street
Toronto, Ontario M3J 1P3 Canada
416-736-2100, ext 77943 (Phone)
416-736-5687 (Fax)
George Jiang
University of Arizona - Eller College of Management ( email )
Department of Finance
McClelland Hall, P.O. Box 210108
Tucson, AZ 85721-0108
United States
520-621-3373 (Phone)
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