• DocumentCode
    3466502
  • Title

    Empirical Study of Corporation Credit Default Probability Based on Logit Model

  • Author

    Luo, Jian-hua ; Lei, Han-yun

  • Author_Institution
    Commercial Coll., Central South Univ., Changsha
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Based on actual data of state-owned commercial banks in China, combining with the corporation financial data, and applying Logit regression model, we empirically analyzed corporate default probability. The result shows that Logit model is an ideal tool of forecasting corporate default probability, and that the data and techniques are of practical significance to credit rating and risk management of commercial banks.
  • Keywords
    banking; credit transactions; forecasting theory; regression analysis; risk management; China; corporation credit default probability; corporation financial data; forecasting; logit regression model; risk management; state-owned commercial banks; Educational institutions; Fitting; Logistics; Macroeconomics; Maximum likelihood estimation; Neural networks; Predictive models; Principal component analysis; Probability; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.2276
  • Filename
    4680465