Using implied volatility jumps for realized volatility forecasting: Evidence from the Chinese market |
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| Institution: | 1. Department of Mathematics and School of Economics and Management, University of Bologna, Bologna, Italy;2. Department of Economics, Society and Politics, University of Urbino Carlo Bo, Italy;3. Department of Economics, University of Bamberg, Germany;1. Department of Accountancy and Finance at University of Antwerp, Stadscampus Prinsstraat 13 S.B.329, 2000 Antwerpen, Belgium;2. College of Business, University of Akron, Akron, OH, USA;3. School of Accounting and Finance, University of Vaasa, Wolffintie 34, 65200 Vaasa, Finland;4. Department of Data Science, Economics and Finance at EDHEC Business School, 24 avenue Gustave Delory, 59057 Roubaix Cedex 1, France;1. School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou, China;2. Department of Planning and Finance, Wenzhou Medical University, Wenzhou, China;3. School of Mathematical Sciences, Wenzhou-Kean University, Wenzhou, China;1. Faculty of Business, City University of Macau, Macau, China;2. School of Business, Macau University of Science and Technology, Macau, China |
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| Abstract: | This study examines the Chinese implied volatility index (iVIX) to determine whether jump information from the index is useful for volatility forecasting of the Shanghai Stock Exchange 50ETF. Specifically, we consider the jump sizes and intensities of the 50ETF and iVIX as well as cojumps. The findings show that both the jump size and intensity of the 50ETF can improve the forecasting accuracy of the 50ETF volatility. Moreover, we find that the jump size and intensity of the iVIX provide no significant predictive ability in any forecasting horizon. The cojump intensity of the 50ETF and iVIX is a powerful predictor for volatility forecasting of the 50ETF in all forecasting horizons, and the cojump size is helpful for forecasting in short forecasting horizon. In addition, for a one-day forecasting horizon, the iVIX jump size in the cojump is more predictive of future volatility than that of the 50ETF when simultaneous jumps occur. Our empirical results are robust and consistent. This work provides new insights into predicting asset volatility with greater accuracy. |
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| Keywords: | 50ETF Implied volatility Jumps Cojumps Volatility forecasting |
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