IDEAS home Printed from https://ideas.repec.org/a/bis/bisqtr/0509h.html
   My bibliography  Save this article

Structural models of default: lessons from firm-level data

Author

Listed:
  • Nikola Tarashev

Abstract

Structural credit risk models account for the average level of default rates within rating categories only when calibrated on a firm by firm basis. Nevertheless, firm-specific information matters little when one is interested in forecasting the path of default rates over time. This is because economic factors common to all firms strongly influence the evolution of default predictions.

Suggested Citation

  • Nikola Tarashev, 2005. "Structural models of default: lessons from firm-level data," BIS Quarterly Review, Bank for International Settlements, September.
  • Handle: RePEc:bis:bisqtr:0509h
    as

    Download full text from publisher

    File URL: http://www.bis.org/publ/qtrpdf/r_qt0509h.pdf
    Download Restriction: no

    File URL: http://www.bis.org/publ/qtrpdf/r_qt0509h.htm
    Download Restriction: no

    References listed on IDEAS

    as
    1. Leland, Hayne E & Toft, Klaus Bjerre, 1996. " Optimal Capital Structure, Endogenous Bankruptcy, and the Term Structure of Credit Spreads," Journal of Finance, American Finance Association, vol. 51(3), pages 987-1019, July.
    2. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    3. Anderson, Ronald W. & Sundaresan, Suresh & Tychon, Pierre, 1996. "Strategic analysis of contingent claims," European Economic Review, Elsevier, vol. 40(3-5), pages 871-881, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aleksandra Wojcicka, 2012. "Calibration of a credit rating scale for Polish companies," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 3, pages 63-73.
    2. Allen Frankel, 2006. "Prime or not so prime? An exploration of US housing finance in the new century," BIS Quarterly Review, Bank for International Settlements, March.
    3. repec:wut:journl:v:3:y:2012:id:1043 is not listed on IDEAS

    More about this item

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bis:bisqtr:0509h. 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: (Christian Beslmeisl). General contact details of provider: http://edirc.repec.org/data/bisssch.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.