Intraday Serial Correlation, Volatility, and Jump: Evidence from China's Stock Market. Issue 4 (20th April 2016)

• Record Type: Journal Article
• Authors: Zhang, Bo; Bi, Tao
• Is Part Of: Communications in statistics. Volume 45:Issue 4(2016)
• Page Start: 1226
• Page End: 1239
• Publication Date: 2016-04-20
• Subjects: Intraday serial correlation -- Jump -- Jump-robust volatility -- Variance ratio test; 62G32 -- 62M10 -- 65C20; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2013.786946
• Languages: English
• ISSNs: 0361-0918

Abstract

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 ). We find that intraday serial correlation are positively correlated with jump-robust volatility and negatively correlated with negative jumps which confirm the LeBaron effect.