The Impact of Trading Volume on Stock Price Volatility
DOI:
https://doi.org/10.54097/wasnyj47Keywords:
trading volume, stock price, impact.Abstract
In the capital markets, research on the impact of market trading volume on asset prices and returns has been ongoing since the 1960s, and remains a focus of attention for scholars and investors both domestically and internationally. Studies on the relationship between volume and price primarily concentrate on the volatility of stock prices in relation to trading volume, and the correlation between stock return rates and trading volume. In empirical research on the volume-price relationship, the main theories are inseparable from the study of market information. Trading volume encompasses the market's reaction speed to information and the extent of information's impact on the market, which are significant reasons why trading volume can affect stock market prices and returns.
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References
Karpoff J. M. The Relation Between Price Change and Trading Volume. Journal of Financial and Quantitative Analysis, March22, 1987: 109 - 126.
M. F. M. Osborne. Brownian Motion in the Stock Market [J]. Operations Research, 1959, 7: 145 - 173.
Jiang Xue. Economic Analysis of Volume-Price Relationship in China's Stock Market: [Dissertation] Jilin: Jilin University, 2008.
Copeland T. A Model of Asset Trading under the Assumption of Sequential Information Arrival Journal of Finance, 1976 (31): 135 - 155.
Jennings R., H. L. Starksand, J. Fellingham. An Equilibrium Model of Asset Trading with Sequential Information Arrival. Journal of Finance, 1981 (14): 3 - 161.
Harris L. Transaction Data Tests of the Mixture Distribution Hypothesis. Journal of Financial and Quantitative Analysis, 1987 (22): 127 - 141.
Chen LD. Empirical Analysis of Price-Volume Relationship in Shanghai Stock Market [J]. Journal of Shanghai University of Finance and Economics, 2000, 2 (3): 37 - 41.
Wang Chengwei, Wu Chongfeng. A study of linear and nonlinear causality of price-volume relationship in Chinese stock market [J]. Journal of Management Science Journal of Management Science, 2002, 5 (4): 7 - 12.
Wang Chengwei, Wu Chongfeng. A study on the linear and nonlinear causality of price-volume relationship in Chinese stock market [J]. Journal of Management Science Journal of Management Science, 2002, 5 (4): 7 - 12.
Song Fengming, Tang Jun. The information source of individual stocks and the leading stock effect [J]. Financial Research, 2002 (6): 1 - 11.
Liu Qin, Gu Lan. Analysis of stock intraday trading data characteristics and volatility [J]. Statistical Research, 2001 (4): 36 - 42.
Liu JH. Intraday characterization of volume and price in the Chinese stock market based on high-frequency data [J]. Economist, 2007 (10): 106 - 107.
Zhao Liuyan, Wang Yiming. The correlation between trading volume and returns and their volatility in Shanghai and Shenzhen stock markets: evidence from empirical analysis. [J]. Economic Science, 2003 (2): 57 - 67.
He Xingqiang, Liu Xingyun. Empirical analysis of asymmetry of stock market volatility and mixed distribution assumption in China [J]. Nankai Economic Research Research, 2005 (3): 91 - 96.
i Shuangcheng, Ding Zhinan, Ren Biao. An empirical study of volume-price relationship in Chinese Shanghai and Shenzhen stock markets based on MDH hypothesis [J]. System Engineering Program, 2006 (4): 55 - 60.
Wu Chaopeng, Wu Shinong. A study on the serial correlation between stock trading volume and return-empirical evidence from Chinese stock market [J]. Financial Research, 2007 (3): 140 - 150.
Li QD, Wang J. Volatility of trading volume in Shanghai market and its impact on yield [J]. Statistical Decision Policy, 2008 (4): 125 - 127.
Wang Caifeng, Sun Xiaoxia. Posterior distribution construction and simulation in the analysis of volume-price relationship in Chinese stock market [J]. Practice and Recognition of Mathematical Knowledge, 2012, 42 (12): 37 - 47.
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