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Determinants of Non-Performing Loans in Central and Eastern European Countries

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  • Bruna Škarica

Abstract

This paper analyses the determinants of the changes in non-performing loans (NPL) ratio in selected European emerging markets. The model was estimated on a panel dataset using fixed effects estimator for seven Central and Eastern European (CEE) countries between Q3:2007 and Q3:2012. The analyzed countries are Bulgaria, Croatia, Czech Republic, Hungary, Latvia, Romania and Slovakia. Although the literature on NPLs is quite extensive, this is the first empirical research on the countries of CEE region using aggregate, country – level data on problem loans. The results suggest that the primary cause of high levels of NPLs is an economic slowdown, which is evident from statistically significant and economically large coefficients on GDP, unemployment and inflation rate.

Suggested Citation

  • Bruna Škarica, 2013. "Determinants of Non-Performing Loans in Central and Eastern European Countries," EFZG Working Papers Series 1307, Faculty of Economics and Business, University of Zagreb.
    • Handle: RePEc:zag:wpaper:1307
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    Cited by:

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    2. Umoren A. A & Akpan S. B. & Udoh E. J., 2016. "Analysis of Empirical Relationship among Agricultural Lending, Agricultural Growth and Non-Performing Loans in Nigerian Banking System," Economy, Asian Online Journal Publishing Group, vol. 3(2), pages 94-101.
    3. Mihail Petkovski & Jordan Kjosevski & Kiril Jovanovski, 2018. "Empirical Panel Analysis of Non-performing Loans in the Czech Republic. What are their Determinants and How Strong is their Impact on the Real Economy?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(5), pages 460-490, October.
    4. Pallavi Chavan & Leonardo Gambacorta, 2019. "Bank lending and loan quality: an emerging economy perspective," Empirical Economics, Springer, vol. 57(1), pages 1-29, July.
    5. Donjeta Morina, 2020. "Determinants of Credit Risk in Commercial Banks of Kosovo," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 179-190.
    6. Pallavi Chavan & Leonardo Gambacorta, 2016. "Bank lending and loan quality: the case of India," BIS Working Papers 595, Bank for International Settlements.
    7. Radivojević, Nikola & Cvijanović, Drago & Sekulic, Dejan & Pavlovic, Dejana & Jovic, Srdjan & Maksimović, Goran, 2019. "Econometric model of non-performing loans determinants," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 481-488.
    8. Mohammad Younus Bhat & Apra Sinha, 2016. "Willingness to Pay for Preserving National Park Biodiversity: A Case Study," Economy, Asian Online Journal Publishing Group, vol. 3(2), pages 102-106, December.
    9. Nithin Mani & Alok Kumar Mishra & Jijin Pandikasala, 2023. "How Serious is India’s Nonperforming Assets Crisis? A Structural Satellite Version of the Financial-Macroeconometric Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(4), pages 761-794, December.
    10. Burim Gashi, 2021. "Impact of Bank Specific and Macro Determinants on Non-performing Loans of Polish Banking Sector," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 129-147.

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    More about this item

    Keywords

    non-performing loans; macro-financial linkages; Central and Eastern Europe; panel regressions; financial stability;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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