• DocumentCode
    2167655
  • Title

    The Research on Influencing Factors of Dividend Policy Based on Data-Mining Technique: A Validating Study Based on Listed Companies in China

  • Author

    Zhao, Bingsheng

  • Author_Institution
    Dept. of Finance, Changchun Taxation Coll., Changchun, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The dividend payable of Chinese enterprises has the feature of randomness and volatility, resulting in a discontinuous dividend policy. However, this is inconsistent with Western dividend policy and entrepreneurial practice. This article will analyze the factors which impact the dividend policies, with the data mining method, to understand the relationship between the combinations of different enterprises´ features and different dividend payable policies; so that the company could choose the optimal dividend policy as well as the investors could set up the most profitable portfolio.
  • Keywords
    data mining; financial data processing; profitability; data mining; discontinuous dividend policy; dividend payable policy; entrepreneurial practice; profitable portfolio; Companies; Data mining; Decision trees; Finance; Industries; Investments; Publishing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5576960
  • Filename
    5576960