IDEAS home Printed from
   My bibliography  Save this article

Contingencies For Measurement Of The Credit Risk


  • Marinela BARBULESCU

    () (University of Pitesti, Faculty of Economics, Romania)

  • Alina HAGIU

    () (University of Pitesti, Faculty of Economics, Romania)

  • Cristina BALDAN

    () (University of Pitesti, Faculty of Economics, Romania)


The Global Financial Crisis, which affected various banks, some of them very important banks, highlighted the importance of an accurate credit risk measurement in order to be able to overcome it. There are a variety of such credit risk measurement models, so we can say that banks face a real dilemma when having to choose the most appropriate one. The aim of this paper is to examine the most popular methods used to measure the credit risk and to identify the strengths and the weaknesses of each one of it. The research was accomplished from a double perspective, in which the conceptual methodological approach is correlated to a variety of references to practical actions aiming the measurement and the prevention of credit risk. The study includes the presentation of the objectives of credit risk analysis, the most appropriate moments for doing such an analysis, the steps that have to be done in order to measure the credit risk, the errors that can overcome in the credit risk measurement system, generated by the misclassifications of the studied company, and the presentation of the specific information of financial creditors. The findings expressed in this paper were mainly the result of a qualitative analysis which showed that there is no best model for credit risk measurement, each one having both strengths and weaknesses, some providing a comprehensive analysis of the individual customer’s financial strength others allowing banks permanently monitor fluctuating default risk and identify the possibly problems at an early stage.

Suggested Citation

  • Marinela BARBULESCU & Alina HAGIU & Cristina BALDAN, 2015. "Contingencies For Measurement Of The Credit Risk," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 14(3), pages 60-65.
  • Handle: RePEc:pts:journl:y:2015:i:3:p:60-65

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Franck Moraux & O. Renault, 2002. "30 ans de modèles structurels de risque de défaut," Post-Print halshs-00076643, HAL.
    2. Berkowitz, Jeremy, 2001. "Testing Density Forecasts, with Applications to Risk Management," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 465-474, October.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Credit Risk; Global Financial Crisis; Risk Analysis; Bankruptcy; Measurement of a credit risk.;

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill


    Access and download statistics


    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:pts:journl:y:2015:i:3:p:60-65. 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: (Logica Banica). General contact details of provider: .

    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.