• DocumentCode
    479760
  • Title

    The Combination Forecasting Model for Financial Distress Prediction of Listed Corporations Based on Support Vector Machines

  • Author

    Sun, Wei ; Yan, Xingxing ; Li, Yanhong

  • Author_Institution
    Sch. of Bus. Adm., North China Electr. Power Univ., Baoding
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    386
  • Lastpage
    389
  • Abstract
    This paper establish a new model of financial distress prediction---the combination forecasting model based on support vector machines (CFSVM), with Chinese listed corporations as samples. After rectifying the model, it gets higher predicting precision. Comparing to other warning models, the CFSVM model for listed corporations in financial distress prediction really has bigger application foreground because of its better characters such as higher accuracy rate.
  • Keywords
    financial management; forecasting theory; support vector machines; combination forecasting model; financial distress prediction; support vector machines; Computer science; Economic forecasting; Financial management; Investments; Logistics; Neural networks; Predictive models; Software engineering; Support vector machine classification; Support vector machines; BP; Logistic model; SVM; combination forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1002
  • Filename
    4721768
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=479760