• DocumentCode
    2717439
  • Title

    The Statistical Analysis of Stock Prices and Trading Volumes for the Chinese Stock Markets

  • Author

    Men, Dongping ; Wang, Jun ; Shao, Jiguang

  • Author_Institution
    Inst. of Financial Math. & Financial Eng., Beijing Jiaotong Univ., Beijing
  • Volume
    3
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    37
  • Lastpage
    41
  • Abstract
    In this paper, the fluctuations of stock prices and trade volumes are investigated by the method of Zipf plot, where Zipf plot technique is frequently used in physics science. In the first part of the present paper, the data of stocks prices and trade volumes in Shanghai Stock Exchange and Shenzhen Stock Exchange is analyzed, the statistical properties of stocks prices and trade volumes are studied. We select the daily data for Chinese stock market during the years 2002-2006, by analyzing the data, we discuss the statistical properties of fat tails phenomena and the power law distributions for the daily stocks prices and trade volumes. In the second part, we consider the fat ails phenomena and the power law distributions of Shanghai Stock Exchange Index and Shenzhen Stock Exchange Index during the years 2001-2006 by Zipf plot method.
  • Keywords
    pricing; statistical analysis; stock markets; Chinese stock markets; Shanghai Stock Exchange; Shenzhen Stock Exchange; Zipf plot technique; power law distributions; statistical analysis; stock prices; trading volumes; Communication system control; Distribution functions; Engineering management; Financial management; Fluctuations; Frequency; Mathematics; Probability distribution; Statistical analysis; Stock markets; Zipf plot; statistical analysis; stock market; stock price; trading volume;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.200
  • Filename
    4609792