• DocumentCode
    1728298
  • Title

    Commercial bank credit risk management based on grey incidence analysis

  • Author

    Jin Jia-jia ; Yu Zi-wen ; Mi Chuan-min

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2011
  • Firstpage
    534
  • Lastpage
    538
  • Abstract
    Credit asset quality problem is one of the obstacles limiting the further development of commercial bank, the research on the credit risk becomes an important part of the implement of the commercial bank´s risk management. The incidence identification method is established to investigate whether the industry and macroeconomic factor could affect impaired loan ratio of bank using the grey incidence analysis method. From the angle of the industry, the result can determine the risk deviation scope in the grey risk control process which offers new content and ideas within the grey risk control. The results indicate that the impaired loan ratio is different with diverse industry´s influence and the macroeconomic also affect it. Under the guidance of the principle of “differential treatment, differential control”, this research will help to strengthen the implementation of differentiated credit policy, focus on guiding and promoting the optimization of credit structure, so as to maintain a reasonable size of credit facilities and build a steady currency credit system.
  • Keywords
    banking; grey systems; macroeconomics; risk management; commercial bank credit risk management; credit asset quality problem; credit facilities; differentiated credit policy; grey incidence analysis method; grey risk control process; impaired loan ratio; incidence identification method; macroeconomic factor; risk deviation scope; steady currency credit system; Industries; Lead; Macroeconomics; Manufacturing; Transportation; Credit risk; Grey incidence analysis; Impaired loan ratio; Risk control; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044126
  • Filename
    6044126