• DocumentCode
    3324645
  • Title

    Research on the capital structure influencing factors applied the data-mining technique: A validating study based on listed companies in China

  • Author

    Zhao Bing-sheng ; Dai Gui-xia

  • Author_Institution
    Finance Dept., Changchun Taxation Coll., Changchun
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    733
  • Lastpage
    740
  • Abstract
    Capital structure is one of the most basic and important research fields in the theory of corporate finance. Most of western corporations keep to the theory of sequence financing made by Myers and make debts as their priority in external financing considering it can enhance the corporate value. In China, however, the strong preference of equity financing and low debt rate is diametrically opposed to the theory of capital structure and financing sequence. This paper validates the applicability of the theory of capital structure in China by applying the data-mining technique. It is committed to optimizing Chinese corporationspsila capital structures by pointing out the corresponding relationship between the portfolio of corporation characters and different capital structures.
  • Keywords
    data mining; stock markets; China; capital structure; corporate finance; data mining technique; equity financing; external financing; listed companies; sequence financing; Classification tree analysis; Conference management; Data engineering; Educational institutions; Engineering management; Finance; Financial management; Marine vehicles; Portfolios; Stock markets; capital structure; classify tree induction method; data-mining; market efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-2387-3
  • Electronic_ISBN
    978-1-4244-2388-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2008.4668994
  • Filename
    4668994