DocumentCode
3577048
Title
Trading volume, realized volatility and signed jump: Evidence form China´s stock market
Author
Tao Bi ; Gong Cheng
Author_Institution
CNCERT/CC, Beijing, China
fYear
2014
Firstpage
1
Lastpage
4
Abstract
In this paper, we investigate the relationship among trading volume, volatility and jump based on Hu-Shen300 index high frequency data. We measure volatility using realized volatility proposed by Andersen and Bollerslev (1998) and decompose it into upside and downside parts by the asymptotic properties of realized upside and downside power variation defined in Bi, Zhang and Wu(2013). To measure jump component, we use a novel jump measure called signed jump proposed by Patton and Sheppard(2011). Our empirical analysis show that trading volume are positively related with realized volatility, RUPV and RDPV. We also find that trading volume is negatively related with signed jump.
Keywords
stock markets; Hu-Shen300 index high frequency data; RDPV; RUPV; asymptotic properties; novel jump measure; realized volatility; signed jump; stock market; trading volume; Biological system modeling; Bismuth; Data models; Indexes; Security; Solid modeling; Volume measurement; High frequency data; Realized volatility; Signed Jump; Trading volume;
fLanguage
English
Publisher
ieee
Conference_Titel
Behavior, Economic and Social Computing (BESC), 2014 International Conference on
Type
conf
DOI
10.1109/BESC.2014.7059520
Filename
7059520
Link To Document