studyontheintradaypatternandthedynamiccorrelationamongreturnvolumeandopeninterestevidencefromchinesecommodityfuturesmarkets

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	studyontheintradaypatternandthedynamiccorrelationamongreturnvolumeandopeninterestevidencefromchinesecommodityfuturesmarkets
	Liu Xiangli 1; Wang Shouyang2
	2015
发表期刊	journalofsystemsscienceandcomplexity
ISSN	1009-6124
卷号	28 期号:1 页码:156
摘要	This paper uses minute by minute data series from Chinese commodity futures markets to study patterns of intraday effect and discovers the L pattern of absolute return and volume. It is different from stock market, which has a distinctive pattern of U-shaped. The financial market microstructure theory, traders' psychology and trading mechanism are applied to explain it. Then this paper studies the factors that influence volatility of return and the lagged orders. The results show that there is a bilateral Granger causality among any two of the absolute return, volume and open interest, and it is different from the empirical results of the stock market, in the sense that there is only a unilateral Granger causal relationship from volume to absolute return. The authors also analyze the dynamic relationship among these three factors. The empirical results tell that the influence of open interest on volatility of absolute return and volume is weak, and there is a strong correlation between absolute return and volume. Some investment suggestions are offered from the analysis mentioned above.
语种	英语
资助项目	[National Science Fund of China] ; [Program for New Century Excellent Talents in University] ; [Program for Innovation Research in Central University of Finance and Economics]
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/44304
专题	系统科学研究所
作者单位	1.中央财经大学 2.中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Liu Xiangli,Wang Shouyang. studyontheintradaypatternandthedynamiccorrelationamongreturnvolumeandopeninterestevidencefromchinesecommodityfuturesmarkets[J]. journalofsystemsscienceandcomplexity,2015,28(1):156.
APA	Liu Xiangli,&Wang Shouyang.(2015).studyontheintradaypatternandthedynamiccorrelationamongreturnvolumeandopeninterestevidencefromchinesecommodityfuturesmarkets.journalofsystemsscienceandcomplexity,28(1),156.
MLA	Liu Xiangli,et al."studyontheintradaypatternandthedynamiccorrelationamongreturnvolumeandopeninterestevidencefromchinesecommodityfuturesmarkets".journalofsystemsscienceandcomplexity 28.1(2015):156.