• DocumentCode
    2893393
  • Title

    Empirical Research on Credit Condition of Chinese Listed Corporation with KMV Default Model

  • Author

    Lu, Chao ; Li, Xue-Wei ; Pan, Hong-Bo

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Jiaotong Univ.
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    2387
  • Lastpage
    2390
  • Abstract
    Over the past decade, commercial banks have devoted many resources to developing internal models to better quantify their financial risks and assign economic capital. These efforts have been recognized and encouraged by bank regulators. Recently, there are been a flurry of developments in the field of credit risk modeling. KMV Corporation, a firm specialized in credit risk analysis, has developed a credit risk methodology based on Merton, as well as an extensive database, to assess default probabilities and the loss distribution related to both default and migration risks. This paper made an empirical research on the credit condition of Chinese listed corporation with KMV default model, and demonstrated the practicability and operation of this kind of method. Also we find that this method could be one of the important references for investment decision of financial institution in China
  • Keywords
    banking; econometrics; financial management; investment; probability; risk management; stock markets; Chinese financial institutions; Chinese listed corporation credit condition; KMV Corporation; KMV default model; bank regulator; commercial bank; credit risk modeling; economic capital assignment; empirical research; financial risk; investment decision; Chaos; Conference management; Cost accounting; Cybernetics; Databases; Electronic mail; Financial management; Frequency; Investments; Machine learning; Probability; Regulators; Resource management; Risk management; Credit risk; Empirical research; KMV default model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.258730
  • Filename
    4028464