• DocumentCode
    1841666
  • Title

    Empirical research on financial distress early warning based on ternary Logistic model

  • Author

    Hong-jun, Dai

  • Author_Institution
    Econ. & Manage. Dept., Huainan Normal Univ., Huainan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    447
  • Lastpage
    450
  • Abstract
    Most scholars applied dichotomy to the company financial distress research, which classifies listed companies into two categories. We apply trisection method, which classifies listed companies into three categories: financial distress companies, financial unstable companies and financial healthy companies, and apply principal component analysis method and ternary Logistic model to construct a financial distress prediction model. The empirical results indicate that the financial distress prediction model based on ternary Logistic model has better forecast ability and lower misjudge costs.
  • Keywords
    finance; forecasting theory; logistics; principal component analysis; company financial distress research; financial distress early warning; principal component analysis; ternary logistic model; trisection method; Analytical models; Companies; Finance; Indexes; Logistics; Mathematical model; Predictive models; financial distress; principal component analysis model; ternary Logistic model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5916969
  • Filename
    5916969