Research

Tse Chun Lin, Xiaolong Lu and Joost Driessen: The Forecast Performance of Competing Implied Volatility Measures: The Case of Individual Stocks

February 20, 2010

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.