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The Forecast Performance of Competing Implied Volatility Measures: The Case of Individual Stocks

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Author Info
Tsiaras, Leonidas () (Department of Business Studies, Aarhus School of Business)

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Abstract

This study examines the information content of alternative implied volatility measures for the 30 components of the Dow Jones Industrial Average Index from 1996 until 2007. Along with the popular Black-Scholes and "model-free" implied volatility expectations, the recently proposed corridor implied volatility (CIV) measures are explored. For all pair-wise comparisons, it is found that a CIV measure that is closely related to the model-free implied volatility, nearly always delivers the most accurate forecasts for the majority of the firms. This finding remains consistent for different forecast horizons, volatility definitions, loss functions and forecast evaluation settings.

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File URL: http://research.asb.dk/fbspretrieve/5353/F-2009-02
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Publisher Info
Paper provided by University of Aarhus, Aarhus School of Business, Department of Business Studies in its series Finance Research Group Working Papers with number F-2009-02.

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Length: 37 pages
Date of creation: 19 Mar 2009
Date of revision:
Handle: RePEc:hhb:aarbfi:2009-02

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Postal: The Aarhus School of Business, Fuglesangs Allé 4, DK-8210 Aarhus V, Denmark
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