• DocumentCode
    2479127
  • Title

    Empirical research on financial distress prediction of listed corporations with sport vector machines model

  • Author

    Liu, Yiping ; Qiu, Dongfang

  • Author_Institution
    Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut. (NUAA), Nanjing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    1303
  • Lastpage
    1308
  • Abstract
    Financial index is always an important approach to evaluate companiespsila financial condition. This paper, based on analysis of disadvantages of traditional financial index system, uses way of factor analysis, and extracts nine of the most important common factors from usual financial index, then verifies effectiveness of these common factors by using statistical method. At last, we select seven common factors to construct a new index system in the comprehensive financial evaluation system, and then stakeholders of listed company can conveniently use this integrated evaluation index system to evaluate effectually listed companypsilas financial position.
  • Keywords
    financial management; learning (artificial intelligence); statistical analysis; factor analysis; financial distress prediction; financial index system; listed corporations; sport vector machines model; statistical method; Automation; Economic forecasting; Financial management; Intelligent control; Predictive models; Statistical analysis; factor analysis; financial index; listed company;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593111
  • Filename
    4593111