IDEAS home Printed from https://ideas.repec.org/a/sgh/erfinj/v1y2016i1p47-65.html
   My bibliography  Save this article

Using Nonperforming Loan Ratios to Compute Loan Default Rates With Evidence From European Banking Sectors

Author

Listed:
  • Dobromił Serwa

    (Warsaw School of Economics, Institute of Econometrics)

Abstract

This research is the first attempt to calibrate default rates of loan portfolios using raw data on nonperforming loans and some additional information on the maturity structure of the loan portfolios. We applied a simple model of loan quality, controlling for loan maturities and dynamics of loan supply. Results for nine national aggregate indices of nonperforming housing loans in the Czech Republic, Greece, Ireland, Hungary, Latvia, Poland, Portugal, Romania, and Spain revealed strong differences in the dynamics of calibrated default probabilities between countries. Calibrated default rates were correlated with macroeconomic factors, but the linkages depended on the markets investigated.

Suggested Citation

  • Dobromił Serwa, 2016. "Using Nonperforming Loan Ratios to Compute Loan Default Rates With Evidence From European Banking Sectors," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 1(1), pages 47-65, June.
  • Handle: RePEc:sgh:erfinj:v:1:y:2016:i:1:p:47-65
    DOI: 10.33119/ERFIN.2016.1.1.3
    as

    Download full text from publisher

    File URL: http://erfin.org/journal/index.php/erfin/article/view/3
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.33119/ERFIN.2016.1.1.3?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
    ---><---

    More about this item

    Keywords

    NPL ratio; default rate; credit growth; housing loans; European banking sectors;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies

    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:sgh:erfinj:v:1:y:2016:i:1:p:47-65. 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: Dobromił Serwa (email available below). General contact details of provider: https://edirc.repec.org/data/sgwawpl.html .

    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.