• DocumentCode
    2257832
  • Title

    The Study of Credit Risk Evaluation Based on DEA Method

  • Author

    Li, Huaipeng ; Pang, Sulin

  • Author_Institution
    Dept. of Math., Jinan Univ., Guangzhou, China
  • fYear
    2010
  • fDate
    11-14 Dec. 2010
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    Based on studying the KMV default distance model, the work of this paper is to calculate the default distance using BCC model in DEA methodology to quantify the credit risk. The principle idea is to use DEA value of the company to replace the market value of the company in KMV model, and use average DEA points of ST companies within the industry instead of default point, then get the Default Distance. The third part is an empirical analysis which using 17 Chinese textile companies in 2007 and 2008, the result shows that default distance calculated with the DEA method does not completely reflect the company´s credit risk, but as a discussion of method, the default distance with the DEA method still have research value.
  • Keywords
    credit transactions; data envelopment analysis; risk management; BCC model; DEA methodology; KMV default distance model; credit risk evaluation; BCC model; DEA; credit risk; default distance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2010 International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-9114-8
  • Electronic_ISBN
    978-0-7695-4297-3
  • Type

    conf

  • DOI
    10.1109/CIS.2010.25
  • Filename
    5696237