More on the volatility-trading volume relationship in emerging markets: The Chinese stock market

被引:11
|
作者
Ureche-Rangau, Loredana [1 ,2 ]
de Rorthays, Quiterie [2 ]
机构
[1] Univ Picardie, Amiens 1, France
[2] IESEG Sch Management, Lille, France
关键词
volatility persistence; long-memory; trading volume; AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY; SEQUENTIAL INFORMATION ARRIVAL; LONG-MEMORY; DISTRIBUTIONS HYPOTHESIS; RETURN VOLATILITY; SPECULATIVE PRICES; TIME-SERIES; MIXTURE; MODEL; FLOW;
D O I
10.1080/02664760802509101
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper empirically investigates the characteristics in terms of volatility and trading volume relationships of the Chinese stock markets, and specifically of the stocks comprising the SSE180 index. Our results show that, contrary to previous evidence, both volatility and trading volume appear to be multi-fractal and highly intermittent, suggesting a common long-run behaviour in addition to the common short-term behaviour underlined by former studies. Moreover, the trading volume seems to have no explanatory power for volatility persistence when introduced in the conditional variance equation. Finally, the sign of the trading volume coefficients is mainly negative, hence showing a negative correlation between the two variables.
引用
收藏
页码:779 / 799
页数:21
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