• DocumentCode
    480139
  • Title

    Frequent Patterns of Investment Behaviors in Shanghai Stock Market

  • Author

    Tan, Huiyi ; Cai, H.J. ; Li, Yong

  • Author_Institution
    Int. Sch. of Software, Wuhan Univ., Wuhan
  • Volume
    4
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    325
  • Lastpage
    328
  • Abstract
    To analyze the behavior of investors in Shanghai stock market, we mine frequent itemsets and association rules from a real securities clearing dataset. The mining results indicate that, most investors do not diversify their capital to avert risks according to expected risks of a stock. Further analysis reveals that most of the frequent stocks itemsets only cover a few state-owned big-cap (SB) stocks, and the right side of the association rules, both global and constrained, are mostly SB stocks. All these phenomenamake clear a behavioral mode, investors in Shanghai market pursuit SB stocks universally. On the other hand, another group of investors who do not follow the behavior above incline to purchase extremely similar stocks to build their portfolios, whether in the same industry, like banking, energy, materials, and transportation, or in the same category, like ldquospecial treatmentrdquo stocks.
  • Keywords
    data mining; investment; stock markets; Shanghai stock market; association rules; frequent itemset mining; investment behavior frequent pattern; state-owned big-cap stocks; Association rules; Data analysis; Data mining; Data security; Investments; Itemsets; Pattern analysis; Portfolios; Stock markets; Transaction databases; Data Mining; Frequent Patterns; Investment Behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1311
  • Filename
    4722626