IDEAS home Printed from https://ideas.repec.org/a/fau/fauart/v56y2006i3-4p152-167.html
   My bibliography  Save this article

Credit-Scoring Methods (in English)

Author

Listed:
  • Martin Vojtek

    (CERGE-EI, Prague)

  • Evžen Koèenda

    (CERGE-EI, Prague)

Abstract

The paper reviews the best-developed and most frequently applied methods of credit scoring employed by commercial banks when evaluating loan applications. The authors concentrate on retail loans – applied research in this segment is limited, though there has been a sharp increase in the volume of loans to retail clients in recent years. Logit analysis is identified as the most frequent credit-scoring method used by banks. However, other nonparametric methods are widespread in terms of pattern recognition. The methods reviewed have potential for application in post-transition countries.

Suggested Citation

  • Martin Vojtek & Evžen Koèenda, 2006. "Credit-Scoring Methods (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 56(3-4), pages 152-167, March.
  • Handle: RePEc:fau:fauart:v:56:y:2006:i:3-4:p:152-167
    as

    Download full text from publisher

    File URL: http://journal.fsv.cuni.cz/storage/1050_s_152_167.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eisenbeis, Robert A, 1977. "Pitfalls in the Application of Discriminant Analysis in Business, Finance, and Economics," Journal of Finance, American Finance Association, vol. 32(3), pages 875-900, June.
    2. Ms. Inci Ötker & Miss Gudrun Johnsen & Mr. Paul Louis Ceriel Hilbers & Ceyla Pazarbasioglu, 2005. "Assessing and Managing Rapid Credit Growth and the Role of Supervisory and Prudential Policies," IMF Working Papers 2005/151, International Monetary Fund.
    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. Brůha, Jan & Kočenda, Evžen, 2018. "Financial stability in Europe: Banking and sovereign risk," Journal of Financial Stability, Elsevier, vol. 36(C), pages 305-321.
    2. Martin Rezac & Frantisek Rezac, 2011. "How to Measure the Quality of Credit Scoring Models," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 486-507, November.
    3. Fidrmuc, Jarko & Hainz, Christa, 2010. "Default rates in the loan market for SMEs: Evidence from Slovakia," Economic Systems, Elsevier, vol. 34(2), pages 133-147, June.
    4. Selcuk Bayraci, 2017. "Application of profit-based credit scoring models using R," Romanian Statistical Review, Romanian Statistical Review, vol. 65(4), pages 3-28, December.
    5. Carlos Giner-Baixauli & Juan Tinguaro Rodríguez & Alejandro Álvaro-Meca & Daniel Vélez, 2021. "Modelling Interaction Effects by Using Extended WOE Variables with Applications to Credit Scoring," Mathematics, MDPI, vol. 9(16), pages 1-26, August.
    6. Enrique Marshall, 2015. "Reflexiones sobre la Práctica del Ahorro en Chile," Economic Policy Papers Central Bank of Chile 54, Central Bank of Chile.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Montgomery, D. & Swinnen, G. & Vanhoof, K., 1997. "Comparison of some AI and statistical classification methods for a marketing case," European Journal of Operational Research, Elsevier, vol. 103(2), pages 312-325, December.
    2. Lin, Hsiou-Wei William & Lo, Huai-Chun & Wu, Ruei-Shian, 2016. "Modeling default prediction with earnings management," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 306-322.
    3. Zsolt Darvas & Valentina Kostyleva, 2011. "Fiscal and Monetary Institutions in Central, Eastern and South-Eastern European Countries," OECD Journal on Budgeting, OECD Publishing, vol. 11(1), pages 147-185.
    4. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2020. "Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure," JRFM, MDPI, vol. 13(10), pages 1-14, September.
    5. Mr. Fernando L Delgado & Mr. Mynor Meza, 2011. "Developments in Financial Supervision and the Use of Macroprudential Measures in Central America," IMF Working Papers 2011/299, International Monetary Fund.
    6. R. P. Agenor & K. Alper & L. Pereira da Silva, 2013. "Capital Regulation, Monetary Policy, and Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 198-243, September.
    7. Dean Fantazzini & Silvia Figini, 2009. "Random Survival Forests Models for SME Credit Risk Measurement," Methodology and Computing in Applied Probability, Springer, vol. 11(1), pages 29-45, March.
    8. Youssef Zizi & Mohamed Oudgou & Abdeslam El Moudden, 2020. "Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach," Risks, MDPI, vol. 8(4), pages 1-21, October.
    9. Mr. Athanasios Vamvakidis, 2008. "Convergence in Emerging Europe: Sustainability and Vulnerabilities," IMF Working Papers 2008/181, International Monetary Fund.
    10. Banai, Adam & Kiraly, Julia & Nagy, Marton, 2011. "Home high above and home deep down below -- lending in Hungary," Policy Research Working Paper Series 5836, The World Bank.
    11. Larry G. Perry & Glenn V. Henderson Jr. & Timothy P. Cronan, 1984. "Multivariate Analysis Of Corporate Bond Ratings And Industry Classifications," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 7(1), pages 27-36, March.
    12. Premachandra, I.M. & Chen, Yao & Watson, John, 2011. "DEA as a tool for predicting corporate failure and success: A case of bankruptcy assessment," Omega, Elsevier, vol. 39(6), pages 620-626, December.
    13. International Monetary Fund, 2007. "Bosnia and Herzegovina: Selected Issues," IMF Staff Country Reports 2007/269, International Monetary Fund.
    14. Paul G. Farnham & George S. Cluff, 1982. "Municipal Bond Ratings: New Results, New Directions," Public Finance Review, , vol. 10(4), pages 427-455, October.
    15. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    16. Serrano Cinca, C. & Mar Molinero, C. & Gallizo Larraz, J.L., 2005. "Country and size effects in financial ratios: A European perspective," Global Finance Journal, Elsevier, vol. 16(1), pages 26-47, August.
    17. Radu Alin Morutan, 2015. "A View Of Macroeconomic Stability," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 720-727, December.
    18. Poon, Winnie P. H. & Firth, Michael & Fung, Hung-Gay, 1999. "A multivariate analysis of the determinants of Moody's bank financial strength ratings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(3), pages 267-283, August.
    19. Tony R. Wingler & James M. Watts, 1982. "Electric Utility Bond Rating Changes: Methodological Issues And Evidence," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 5(3), pages 221-235, September.
    20. Berger, Helge & Hefeker, Carsten, 2006. "Does Financial Integration Make Banks Act More Prudential? Regulation, Foreign Owned Banks, and the Lender-of-Last Resort," HWWA Discussion Papers 339, Hamburg Institute of International Economics (HWWA).

    More about this item

    Keywords

    banking sector; credit scoring; discrimination analysis; pattern recognition; retail loans;
    All these keywords.

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • P43 - Economic Systems - - Other Economic Systems - - - Finance; Public Finance

    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:fau:fauart:v:56:y:2006:i:3-4:p:152-167. 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: . General contact details of provider: https://edirc.repec.org/data/icunicz.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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.html .

    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.