• DocumentCode
    3301571
  • Title

    Forecast of Non-Performance Loan Ratio of Chinese State-Owned Commercial Bank

  • Author

    Li, Ping ; Zhang, Rui ; Feng, Lichao ; Zhuo, Mingying

  • Author_Institution
    Sch. of Math. & Stat., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    19-21 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The ratio of NPLs (non-performance loan) is one of the important indexes of assessing the security of credit assets, as well as it is an essential financial indicator to overall strength in commercial banks. In this paper we establish a time series model for the ratio of NPLs of Chinese state-owned commercial banks, taking the statistical data of the NPLs from 2002 to 2010 as an example, basing on the Eviews and time series analysis method. Taking use of this model to do a forecast, we get a conclusion that it is effective for this model to forecast the ratio of NPLs of Chinese state-owned commercial banks.
  • Keywords
    banking; economic forecasting; statistical analysis; time series; chinese state; commercial bank; credit assets security; non performance loan ratio forecasting; statistical data; time series model; Correlation; Data models; Educational institutions; Estimation; Predictive models; Time series analysis; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Management (CAMAN), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9282-4
  • Type

    conf

  • DOI
    10.1109/CAMAN.2011.5778754
  • Filename
    5778754