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Statistical properties of trading activity in Chinese stock market
Author(s) -
Xiaoqian Sun,
Xueqi Cheng,
Huawei Shen,
Zhaoyang Wang
Publication year - 2010
Publication title -
physics procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.26
H-Index - 61
ISSN - 1875-3892
DOI - 10.1016/j.phpro.2010.07.008
Subject(s) - cumulative distribution function , stock exchange , econometrics , stock (firearms) , commission , china , stock market , power law , business , financial economics , probability density function , statistics , economics , finance , mathematics , geography , context (archaeology) , archaeology
We investigate the statistical properties of traders’ trading behavior using cumulative distribution function(CDF). We analyze exchange data of 52 stocks for one-year period which contains non-manipulated stocks and manipulated stocks published by China Securities Regulatory Commission(CSRC). By analyzing the total number of transactions and the trading volume of each trader over a year, we find the cumulative distributions have power-law tails and the distributions between non-manipulated stocks and manipulated stocks are different. These findings can help us to detect the manipulated stocks

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