Research on The Price-Volume Relationship of CSI 300 Stock Index Futures

被引:0
作者
Duan, Xueping [1 ]
Yue, Zhenzhen [1 ]
机构
[1] Shandong Univ Sci & Technol, Sch Math & Syst Sci, Qingdao, Shandong, Peoples R China
来源
2019 3RD INTERNATIONAL CONFERENCE ON DATA SCIENCE AND BUSINESS ANALYTICS (ICDSBA 2019) | 2019年
基金
中国国家自然科学基金;
关键词
stock index futures; high frequency data; the price-volume relationship; open interest; trading volume; VOLATILITY;
D O I
10.1109/ICDSBA48748.2019.00047
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The yield and volatility of financial assets are dominant factors in risk management. In addition, the price-volume relationship of financial assets is also a hot research topic. This paper investigates the price volatility and the price-volume relationship in the stock market using financial high-frequency data. More specifically, we first divide the open interest and trading volume into the expected and unanticipated parts, and divide the price fluctuation into continuous and jumping parts. Then, we build a price-volume model to and analyze the stock index futures market on a deeper level. The results indicate that the predictable and unpredictable trading volume are consistent with the impact of price volatility, which is positive correlated with the price. On the opposite, the effect of predictable and unpredictable open interest on price volatility is different, and the expected predictable is positive correlated with the price while unanticipated parts are negatively correlated with the price.
引用
收藏
页码:192 / 196
页数:5
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