• DocumentCode
    2078596
  • Title

    The Application of DEA Model in Predicting Corporate Financial Risks

  • Author

    He Ping-lin ; Yu Zhong-fu ; Tao Jie

  • Author_Institution
    Sch. of Bus. Adm., North China Electr. Power Univ., Beijing, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper applies data mining technique and the DEA model to a sample of 87 ST listed companies in the securities market in China and 174 matching normal companies, with a view to identifying the relationship between the relevant variables and corporate financial risks. The research result indicates that asset-liability ratio, the rate of the current liability and the growth rate of operating income among others, are the greatest contributors to corporate financial risks and that the efficiency of the company varies in accordance with the varying macro-economic situations.
  • Keywords
    data envelopment analysis; data mining; financial management; risk analysis; DEA model; corporate financial risks prediction; data mining technique; macroeconomic situations; Airports; Companies; Conference management; Data envelopment analysis; Data mining; Data security; Decision making; Financial management; Helium; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5301238
  • Filename
    5301238