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Macroeconomic Determinants of Credit Risk on the Example of Non-performing Loans

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  • Zawadzki Adam

    (SGH Warsaw School of Economics, al. Niepodległości 162, 02-554 Warsaw, Poland)

Abstract

The primary goal of this article is to examine the principal macroeconomic factors influencing credit risk as assessed by the nonperforming loan ratio (hereinafter NPL ratio). Based on the results, the ratio of domestic credit to the private sector, Organization for Economic Cooperation and Development (OECD) membership with a negative correlation with NPLs while the unemployment rate and the ratio of public debt with a positive relation with NPLs were statistically significant. In addition, the correlation between the inflation rate and the depreciation of the home currency was proven.

Suggested Citation

  • Zawadzki Adam, 2023. "Macroeconomic Determinants of Credit Risk on the Example of Non-performing Loans," Central European Economic Journal, Sciendo, vol. 10(57), pages 275-286, January.
  • Handle: RePEc:vrs:ceuecj:v:10:y:2023:i:57:p:275-286:n:9
    DOI: 10.2478/ceej-2023-0016
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    References listed on IDEAS

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    1. Darrell Duffie, 2018. "Financial Regulatory Reform After the Crisis: An Assessment," Management Science, INFORMS, vol. 64(10), pages 4835-4857, October.
    2. Carmen M. Reinhart & Kenneth S. Rogoff, 2010. "Growth in a Time of Debt," American Economic Review, American Economic Association, vol. 100(2), pages 573-578, May.
    3. Roland Beck & Petr Jakubik & Anamaria Piloiu, 2015. "Key Determinants of Non-performing Loans: New Evidence from a Global Sample," Open Economies Review, Springer, vol. 26(3), pages 525-550, July.
    4. Piotr Wdowiński, 2014. "Makroekonomiczne czynniki ryzyka kredytowego w sektorze bankowym w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 55-77.
    5. Nir Klein, 2013. "Non-Performing Loans in CESEE: Determinants and Impact on Macroeconomic Performance," IMF Working Papers 2013/072, International Monetary Fund.
    6. Ms. Mwanza Nkusu, 2011. "Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies," IMF Working Papers 2011/161, International Monetary Fund.
    7. Larissa Batrancea & Malar Kumaran Rathnaswamy & Ioan Batrancea, 2022. "A Panel Data Analysis on Determinants of Economic Growth in Seven Non-BCBS Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1651-1665, June.
    8. Sunil Sapra, 2005. ""A regression error specification test (RESET) for generalized linear models"," Economics Bulletin, AccessEcon, vol. 3(1), pages 1-6.
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    More about this item

    Keywords

    credit risk; non-performing loans (NPLs); macroeconomic factors; G20; M21; E44;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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