IDEAS home Printed from https://ideas.repec.org/a/aka/aoecon/v71y2021i3p451-463.html
   My bibliography  Save this article

Stress tests in Hungarian banking after 2008

Author

Listed:
  • Zoltán Pollák

    (Department of Finance, Corvinus University of Budapest, Fővám tér 8, H-1093, Hungary)

  • Dávid Popper

    (ING Bank, Netherlands)

Abstract

The 2008 crisis highlighted the importance of using stress tests in banking practice. The role of these stress tests is to identify and precisely estimate the effect of possible future changes in market conditions on capital adequacy and profitability. This paper seeks to show a possible methodology to calculate the stressed point-in-time probability of default (PD) parameter. The presented approach contains a linear autoregressive distributed lag model to determine the connection between the logit of default rates and the relevant macroeconomic factors, and uses migration matrices to calculate PDs from the forecasted default rates. The authors illustrate the applications of this methodology using the Hungarian real credit portfolio data.

Suggested Citation

  • Zoltán Pollák & Dávid Popper, 2021. "Stress tests in Hungarian banking after 2008," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 71(3), pages 451-463, September.
  • Handle: RePEc:aka:aoecon:v:71:y:2021:i:3:p:451-463
    DOI: 10.1556/032.2021.00022
    as

    Download full text from publisher

    File URL: https://doi.org/10.1556/032.2021.00022
    Download Restriction: subscription

    File URL: https://libkey.io/10.1556/032.2021.00022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    stress test; default rate modelling; migration matrix; probability of default; IRB;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:aka:aoecon:v:71:y:2021:i:3:p:451-463. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kriston, Orsolya (email available below). General contact details of provider: https://akademiai.hu/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.