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Static and Dynamic Modeling of Non-Performing Loan Determinants in the Eurozone

Author

Listed:
  • Nada Milenković

    (Faculty of Economics in Subotica, University of Novi Sad, Segedinski put 9-11, 24000 Subotica, Serbia)

  • Branimir Kalaš

    (Faculty of Economics in Subotica, University of Novi Sad, Segedinski put 9-11, 24000 Subotica, Serbia)

  • Vera Mirović

    (Faculty of Economics in Subotica, University of Novi Sad, Segedinski put 9-11, 24000 Subotica, Serbia)

  • Jelena Andrašić

    (Faculty of Economics in Subotica, University of Novi Sad, Segedinski put 9-11, 24000 Subotica, Serbia)

Abstract

The issue of non-performing loans (NPLs) in a bank’s portfolio is important for a bank’s stability and sustainability. Their increased presence indicates a potential worsening of the economy and a lower quality of the bank’s assets. We estimated determinants of non-performing loans in the Eurozone for quarterly data 2015–2020. The results confirmed spatial spillover effects within Eurozone countries, which means that when a shock happens in one country in the Eurozone, it will also affect the other economies of the Eurozone area. Based on the Hausman test, a fixed-effects model was chosen as appropriate and showed that bank-specific and macroeconomic determinants significantly affect NPLs in these economies. In relation to previous studies that dealt with this issue, a co-integration analysis was introduced. A significant impact of return on assets, return on equity, and the loan-to-deposit ratio, as well as the gross domestic product, inflation, and exchange rate on NPLs in the short run and long run, was confirmed using a Pooled Mean Group (PMG) estimator. Bank management should customize credit policy based on both internal and external conditions to improve their performance, focusing on enhancing profitability and maintaining a lower loan-to-deposit ratio to reduce NPLs. The research suggests that a higher gross domestic product (GDP) growth rate is associated with fewer NPLs, while inflation uncertainty and a volatile exchange rate can increase NPLs, highlighting the importance of adjusting strategies to the macroeconomic landscape.

Suggested Citation

  • Nada Milenković & Branimir Kalaš & Vera Mirović & Jelena Andrašić, 2024. "Static and Dynamic Modeling of Non-Performing Loan Determinants in the Eurozone," Mathematics, MDPI, vol. 12(21), pages 1-21, October.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:21:p:3323-:d:1504918
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    References listed on IDEAS

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    1. John Fell & Maciej Grodzicki & Julian Metzler & Edward O’Brien, 2018. "Non-performing loans and euro area bank lending behaviour after the crisis," Financial Stability Review, Banco de España, issue Autumn.
    2. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    3. repec:cup:cbooks:9781108422536 is not listed on IDEAS
    4. 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.
    5. Salvador Climent-Serrano, 2019. "Effects of economic variables on NPLs depending on the economic cycle," Empirical Economics, Springer, vol. 56(1), pages 325-340, January.
    6. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    7. Ari, Anil & Chen, Sophia & Ratnovski, Lev, 2021. "The dynamics of non-performing loans during banking crises: A new database with post-COVID-19 implications," Journal of Banking & Finance, Elsevier, vol. 133(C).
    8. Joao Tovar Jalles, 2021. "Tax capacity and growth in the Asia-Pacific region," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 26(3), pages 527-551, July.
    9. Yang Li & Yi-Kai Chen & Feng Sheng Chien & Wen Chih Lee & Yi Ching Hsu, 2016. "Study of optimal capital adequacy ratios," Journal of Productivity Analysis, Springer, vol. 45(3), pages 261-274, June.
    10. Vera Mirovic & Branimir Kalas & Ines Djokic & Nikola Milicevic & Nenad Djokic & Milos Djakovic, 2023. "Green Loans in Bank Portfolio: Financial and Marketing Implications," Sustainability, MDPI, vol. 15(7), pages 1-14, March.
    11. Brooks,Chris, 2019. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781108436823, January.
    12. Yadawananda Neog & Achal Kumar Gaur, 2020. "Macro-economic determinants of tax revenue in India: an application of dynamic simultaneous equation model," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 13(1), pages 13-35.
    13. 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.
    14. Irum Saba & Rehana Kouser & Muhammad Azeem, 2012. "Determinants of Non Performing Loans: Case of US Banking Sector," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 15(44), pages 125-136, June.
    15. Lei Shi & Pengfei Sheng & Marek Vochozka, 2017. "The reduction cost of nonperforming loan: evidence from China’s commercial bank," Applied Economics Letters, Taylor & Francis Journals, vol. 24(7), pages 456-459, April.
    16. Christos Floros, 2020. "Banking Development and Economy in Greece: Evidence from Regional Data," JRFM, MDPI, vol. 13(10), pages 1-13, October.
    17. Ghosh, Amit, 2017. "Sector-specific analysis of non-performing loans in the US banking system and their macroeconomic impact," Journal of Economics and Business, Elsevier, vol. 93(C), pages 29-45.
    18. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    19. 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.
    20. Barbara Casu & Claudia Girardone, 2006. "Bank Competition, Concentration And Efficiency In The Single European Market," Manchester School, University of Manchester, vol. 74(4), pages 441-468, July.
    21. Chaibi, Hasna & Ftiti, Zied, 2015. "Credit risk determinants: Evidence from a cross-country study," Research in International Business and Finance, Elsevier, vol. 33(C), pages 1-16.
    22. Vera Mirović & Branimir Kalaš & Nada Milenković & Jelena Andrašić & Miloš Đaković, 2024. "Modelling Profitability Determinants in the Banking Sector: The Case of the Eurozone," Mathematics, MDPI, vol. 12(6), pages 1-17, March.
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