Article ID: | iaor2016645 |
Volume: | 35 |
Issue: | 2 |
Start Page Number: | 167 |
End Page Number: | 178 |
Publication Date: | Mar 2016 |
Journal: | Journal of Forecasting |
Authors: | Wang Yaw-Huei, Wang Yun-Yi |
Keywords: | forecasting: applications, information, statistics: empirical |
This study examines the intraday S&P 500 implied volatility index (VIX) to determine when the index contains the most information for volatility forecasting. The findings indicate that, in general, VIX levels around noon are most informative for predicting realized volatility. We posit that the VIX performs better during this time period because trading motivation around noon is less complex, and therefore trades contain more information on the market expectation of future volatility. Further investigation on the 2008 financial crisis period suggests that market participants become more cautious, and thus the forecasting performance is sustained until the market's close.