• DocumentCode
    2230510
  • Title

    The Long-Term Predictive Effect of SVM Financial Crisis Early-Warning Model

  • Author

    Hu, Yanjie ; Su, Peng ; Tang, Fei ; Hao, Xuchun

  • Author_Institution
    Sch. of Econ. & Manage., Beihang Univ., Beijing, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    4573
  • Lastpage
    4576
  • Abstract
    Being different from the previous studies, a comprehensive indicator system is constructed in this paper in order to reflect the influence the accounting information quality and corporate governance have on SVM model. This system includes financial indicators, the indicators of accounting information quality and those of corporate governance. Then taking Chinese listed companies of A-stock market in Shenzhen and Shanghai as the sample, SVM model is used to substantiate the superiority of the system. Furthermore, through inspecting the predictive effect of SVM model in the long run, it comes to conclusion that SVM financial early-warning model not only has short-term predictive validity, but also has the long-term one.
  • Keywords
    financial data processing; support vector machines; A-stock market; accounting information quality; comprehensive indicator system; corporate governance; financial crisis early-warning model; financial indicators; support vector machine; Companies; Conference management; Crisis management; Economic forecasting; Economic indicators; Financial management; Information science; Predictive models; Quality management; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1230
  • Filename
    5455441