• DocumentCode
    1861976
  • Title

    Research on Corporation Financial Distress Prediction in the Environment of E-business

  • Author

    Rui, Zhao ; Rongxia, Fu

  • Author_Institution
    Hebei Normal Univ. of Sci. & Technol., Qinghuangdao, China
  • fYear
    2010
  • fDate
    22-24 Jan. 2010
  • Firstpage
    548
  • Lastpage
    550
  • Abstract
    This paper compares the early-warning model of financial crisis home and abroad, using multiple logistic regression method to build an early warning model for enterprise financial crisis in e-commerce environment. Test results show that the model can accurately estimate the samples, and help control the samples. The accuracy rate of discriminate analysis of the model shows that the model has a good reputation for having the early-warning effect.
  • Keywords
    electronic commerce; financial data processing; regression analysis; corporation financial distress prediction; discriminate analysis; e-business; e-commerce environment; early-warning model; enterprise financial crisis; multiple logistic regression method; Chaos; Companies; Electronic learning; Linear regression; Logic testing; Logistics; Neural networks; Paper technology; Predictive models; Software testing; e-commerce; early financial crisis warning; multiple logistic regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Education, e-Business, e-Management, and e-Learning, 2010. IC4E '10. International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-5680-2
  • Electronic_ISBN
    978-1-4244-5681-9
  • Type

    conf

  • DOI
    10.1109/IC4E.2010.81
  • Filename
    5432554