• DocumentCode
    3175505
  • Title

    Bank-enterprise project risk assessment model based on the information entropy method

  • Author

    Zhandong, Xu ; Guotai Chi

  • Author_Institution
    Sch. of Manage., Dalian Univ. of Technol., Dalian, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    998
  • Lastpage
    1001
  • Abstract
    Bank-enterprise project risk assessment model based on the information entropy method refer to evaluating bank-enterprise project risks by the available macro, industry and project information in the condition that commercial bank cannot master project financial information. Bank-enterprise project risk assessment has the general guidelines for all the commercial banks in condition that bank cannot master the specific financial information. The feature of paper: using the observable project risk factors including government risk R1, policy risk R2, industry risk R3, credit risk R4 and investment risk R5, we solve the problem of project risk Rp determination by determining the enterprise project risk factor weights wk according to divergent degree ratio of the single risk factor score to overall five risk factor score, which reflects the idea that the risk factor weight is bigger as the dispersion degree is greater.
  • Keywords
    banking; entropy; project management; risk management; bank-enterprise project risk assessment model; credit risk; government risk; industry risk; information entropy; investment risk; policy risk; project financial information; project risk factors; Government; Indexes; Industries; Investments; Mathematical model; Meteorology; Risk management; counterparty risk; project risk assessment; risk overlay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010675
  • Filename
    6010675