Advanced Search
MyIDEAS: Login

Stress Testing the Enterprise Sector's Bank Debt: A Micro Approach

Contents:

Author Info

  • Eivind Bernhardsen

    (Financial Supervisory Authority of Norway)

  • Bjorne Dyre Syversten

    (Norges Bank)

Registered author(s):

    Abstract

    This paper describes Norges Bank’s micro stress-testing framework for assessing the Norwegian banking sector’s losses on loans to the nonfinancial enterprise sector. Using projected macro variables and a stock-flow approach, annual financial statements of every firm in Norway are projected five years ahead. The loan loss potential is then assessed using a creditscoring model. We present a backtest of projections, taking the history of macro variables as given. Our results are fairly good using a relatively simple setup, and we conclude that stockflow projections of financial statements can be useful for stress testing banks’ loan portfolios.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.ijcb.org/journal/ijcb09q3a4.pdf
    Download Restriction: no

    File URL: http://www.ijcb.org/journal/ijcb09q3a4.htm
    Download Restriction: no

    Bibliographic Info

    Article provided by International Journal of Central Banking in its journal International Journal of Central Banking.

    Volume (Year): 5 (2009)
    Issue (Month): 3 (September)
    Pages: 111-138

    as in new window
    Handle: RePEc:ijc:ijcjou:y:2009:q:3:a:4

    Contact details of provider:
    Postal: Centralbahnplatz 2, CH - 4002 Basel
    Phone: (41) 61 - 280 80 80
    Fax: (41) 61 - 280 91 00
    Email:
    Web page: http://www.ijcb.org/
    More information through EDIRC

    Related research

    Keywords:

    Find related papers by JEL classification:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
    2. Arthur Lewbel, 2000. "Identification of the Binary Choice Model with Misclassification," Boston College Working Papers in Economics 457, Boston College Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:ijc:ijcjou:y:2009:q:3:a:4. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Timo Laurmaa).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.