IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/53128.html
   My bibliography  Save this paper

The determinants of non-performing loans: an econometric case study of Guyana

Author

Listed:
  • Khemraj, Tarron
  • Pasha, Sukrishnalall

Abstract

The study attempts to ascertain the determinants of non-performing loans in the Guyanese banking sector using a panel dataset and a fixed effect model similar to Jimenez and Saurina (2005). Consistent with international evidence we find that the real effective exchange rate has a significant positive impact on non-performing loans. This indicates that whenever there is an appreciation in the local currency the non-performing loan portfolios of commercial banks are likely to be higher. Our empirical results show that GDP growth is inversely related to non-performing loans, suggesting that an improvement in the real economy translates into lower non-performing loans. We also find that banks which charge relatively higher interest rates and lend excessively are likely to incur higher levels of non-performing loans. However, contrary to previous studies, our evidence does not support the view that large banks are more effective in screening loan customers when compared to their smaller counterparts.

Suggested Citation

  • Khemraj, Tarron & Pasha, Sukrishnalall, 2009. "The determinants of non-performing loans: an econometric case study of Guyana," MPRA Paper 53128, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:53128
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/53128/1/MPRA_paper_53128.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Santiago Fernández de Lis & Jorge Martínez Pagés & Jesús Saurina, 2001. "Credit growth, problem loans and credit risk provisioning in Spain," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 331-353, Bank for International Settlements.
    2. Darren Pain, 2003. "The provisioning experience of the major UK banks: a small panel investigation," Bank of England working papers 177, Bank of England.
    3. Marco Sorge, 2004. "Stress-testing financial systems: an overview of current methodologies," BIS Working Papers 165, Bank for International Settlements.
    4. Iftekhar Hasan & Larry D. Wall, 2004. "Determinants of the Loan Loss Allowance: Some Cross‐Country Comparisons," The Financial Review, Eastern Finance Association, vol. 39(1), pages 129-152, February.
    5. John S. Jordan, 1998. "Problem loans at New England banks, 1989 to 1992: evidence of aggressive loan policies," New England Economic Review, Federal Reserve Bank of Boston, issue Jan, pages 23-38.
    6. William R. Keeton & Charles S. Morris, 1987. "Why do banks' loan losses differ?," Economic Review, Federal Reserve Bank of Kansas City, vol. 72(May), pages 3-21.
    7. Vicente Salas & Jesús Saurina, 2002. "Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 22(3), pages 203-224, December.
    8. Olga Andreeva, 2004. "Aggregate bankruptcy probabilities and their role in explaining banks’ loan losses," Working Paper 2004/02, Norges Bank.
    9. repec:zbw:bofrdp:2003_033 is not listed on IDEAS
    10. Sorge, Marco & Virolainen, Kimmo, 2006. "A comparative analysis of macro stress-testing methodologies with application to Finland," Journal of Financial Stability, Elsevier, vol. 2(2), pages 113-151, June.
    Full references (including those not matched with items on IDEAS)

    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. Ahlem Selma Messai & Fathi Jouini, 2013. "Micro and Macro Determinants of Non-performing Loan," International Journal of Economics and Financial Issues, Econjournals, vol. 3(4), pages 852-860.
    2. Nikola Radivojevic & Jelena Jovovic, . "Examining of Determinants of Non-Performing Loans," Prague Economic Papers, University of Economics, Prague, vol. 0, pages 1-17.
    3. Stefano Puddu, 2013. "Real Sector and Banking System: Real and Feedback Effects. A Non-Linear VAR Approach," IRENE Working Papers 13-01, IRENE Institute of Economic Research.
    4. Wahyoe Soedarmono & Amine Tarazi & Agusman Agusman & Gary S. Monroe & Dominic Gasbarro, 2016. "Loan Loss Provisions and Lending Behavior of Banks: Do Information Sharing and Borrower Legal Rights Matter?," Working Papers hal-01316717, HAL.
    5. Bholat, David & Lastra, Rosa & Markose, Sheri & Miglionico, Andrea & Sen, Kallol, 2016. "Non-performing loans: regulatory and accounting treatments of assets," Bank of England working papers 594, Bank of England.
    6. Vasiliki Makri, 2015. "What Triggers Loan Losses? An Empirical Investigation of Greek Financial Sector," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(3-4), pages 119-143, july-Dece.
    7. Vasiliki Makri & Athanasios Tsagkanos & Athanasios Bellas, 2014. "Determinants of Non-Performing Loans: The Case of Eurozone," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 193-206, March.
    8. Us, Vuslat, 2017. "Dynamics of non-performing loans in the Turkish banking sector by an ownership breakdown: The impact of the global crisis," Finance Research Letters, Elsevier, vol. 20(C), pages 109-117.
    9. Nikola Radivojevic & Jelena Jovovic, 2017. "Examining of Determinants of Non-Performing Loans," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(3), pages 300-316.
    10. Michiel Bijlsma & Wim Suyker, 2008. "The credit crisis and the Dutch economy... in eight frequently asked questions," CPB Memorandum 210.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Michiel Bijlsma & Jeroen Klomp & Sijmen Duineveld, 2010. "Systemic risk in the financial sector; a review and synthesis," CPB Document 210.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    12. Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Vouldis, Angelos T., 2016. "Non performing loans (NPLs) in a crisis economy: Long-run equilibrium analysis with a real time VEC model for Greece (2001–2015)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 149-161.
    13. Stefanelli, Valeria & Matteo, Cotugno, 2010. "An Empirical Analysis on Board Monitoring Role and Loan Portfolio Quality Measurement in Banks," MPRA Paper 29766, University Library of Munich, Germany.
    14. Petr Jakubik & Christian Schmieder, 2008. "Stress Testing Credit Risk: Is the Czech Republic Different from Germany?," Working Papers 2008/9, Czech National Bank.
    15. Adam Głogowski, 2008. "Macroeconomic determinants of Polish banks’ loan losses – results of a panel data study," NBP Working Papers 53, Narodowy Bank Polski.
    16. Martín Vallcorba & Javier Delgado, 2007. "Determinantes de la morosidad bancaria en una economía dolarizada. El caso uruguayo," Working Papers 0722, Banco de España.
    17. Coffinet, J. & Lin, S. & Martin, C., 2009. "Stress testing French banks' income subcomponents," Working papers 242, Banque de France.
    18. Abdelkader Boudriga & Neila Boulila Taktak & Sana Jellouli, 2010. "Bank Specific, Business and Institutional Environment Determinants of Banks Nonperforming Loans: Evidence from MENA Countries," Working Papers 547, Economic Research Forum, revised 09 Jan 2010.
    19. Pawel Siarka, 2012. "Implementation of the Stress Test Methods in the Retail Portfolio," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(6), pages 1-2.
    20. Stéphane Albert & Hervé Alexandre, 2018. "Banks’ earnings: Empirical evidence of the influence of economic and financial market factors," Review of Financial Economics, John Wiley & Sons, vol. 36(2), pages 97-116, April.

    More about this item

    Keywords

    Financial stability; non-performing loans; commercial banks;
    All these keywords.

    JEL classification:

    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G01 - Financial Economics - - General - - - Financial Crises
    • 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:pra:mprapa:53128. 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.

    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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.