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Intraday Serial Correlation,Volatility, and Jump: Evidence from China's Stock Market
Authors:Bo Zhang
Institution:Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, China
Abstract:In this article, we investigate the relationships among intraday serial correlation, jump-robust volatility, positive and negative jumps based on Shanghai composite index high frequency data. We implement variance ratio test to quantify intraday serial correlation. We also measure the continuous part of realized volatility using jump-robust MedRV estimator and disentangle positive and negative jumps using Realized Downside Risk Measure and Realized Upside Potential Measure proposed by Bi et al., (2013 Bi, T., Zhang, B., Wu, H. (2013). Measuring downside risk using high frequency data–realized downside risk measure. Communications in Statistics–Simulation and Computation 42(4):741754.Taylor &; Francis Online], Web of Science ®] Google Scholar]). We find that intraday serial correlation are positively correlated with jump-robust volatility and negatively correlated with negative jumps which confirm the LeBaron effect.
Keywords:Intraday serial correlation  Jump  Jump-robust volatility  Variance ratio test
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