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 :
بازگشت