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The Comparative Analysis of Credit Risk Determinants In the Banking Sector of the Baltic States

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  • Grigori Fainstein

    (Tallinn University of Technology, ESTONIA)

  • Igor Novikov

    (Tallinn University of Technology, ESTONIA)

Abstract

A vector error correction model is applied to empirically investigate and compare the influence of macroeconomic and real estate market variables on the level of non-performing loans in the three Baltic States. A secondary goal is to analyze the effect of constant loan portfolio growth on the level of non-performing loans in the related countries. The research indicates that the most significant reason for the growth of non-performing loans was caused by the changes in the real GDP in all the three Baltic States. The increasing influence of rapid loan portfolio growth proves the assumption that banks underestimated the changes in the macroeconomic variables during the analyzed periods, especially in Latvia. Rapid growth of the real estate market played an important role in Latvia and Lithuania, but it was not as crucial as it has been previously assumed in Estonia.

Suggested Citation

  • Grigori Fainstein & Igor Novikov, 2011. "The Comparative Analysis of Credit Risk Determinants In the Banking Sector of the Baltic States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 20-45, June.
    • Handle: RePEc:bap:journl:110302
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    Cited by:

    1. Petros Golitsis & Athanasios P. Fassas & Anna Lyutakova, 2019. "Credit Risk Determinants: Evidence from the Bulgarian Banking System," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 41-64.
    2. Željko Jović, 2017. "Determinants Of Credit Risk – The Case Of Serbia," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 62(212), pages 155-188, January -.
    3. Olayinka Akinlo & Mofoluwaso Emmanuel, 2014. "Determinants Of Non-Performing Loans In Nigeria," Accounting & Taxation, The Institute for Business and Finance Research, vol. 6(2), pages 21-28.
    4. Castro, Vítor, 2013. "Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI," Economic Modelling, Elsevier, vol. 31(C), pages 672-683.
    5. Shakeel Ahmed & M. Ejaz Majeed & Eleftherios Thalassinos & Yannis Thalassinos, 2021. "The Impact of Bank Specific and Macro-Economic Factors on Non-Performing Loans in the Banking Sector: Evidence from an Emerging Economy," JRFM, MDPI, vol. 14(5), pages 1-14, May.
    6. Segun Thompson Bolarinwa & Richard Olaolu Olayeni & Xuan Vinh Vo, 2021. "Is there a nonlinear relationship between nonperforming loans and bank profitability? Evidence from dynamic panel threshold," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 649-661, April.
    7. Muhammad Waqas & Nudrat Fatima & Aryan Khan & Muhammad Arif, 2017. "Determinants of Non-performing Loans: A Comparative Study of Pakistan, India, and Bangladesh," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(1), pages 51-68, January.
    8. Ekaterina V. Orlova, 2021. "Methodology and Models for Individuals’ Creditworthiness Management Using Digital Footprint Data and Machine Learning Methods," Mathematics, MDPI, vol. 9(15), pages 1-28, August.
    9. Negar Jalilian & Seyed Mahmoud Zanjirchi & Alireza Naser Sadrabadi & Ahmadreza Asgharpourmasouleh & Mark Goh, 2021. "Agent-Based Approach to Configure Processes in Iran’s Banking Service Supply Chain," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    10. Albulena Shala & Valentin Toçi & Arben Mustafa, 2022. "Macroeconomic, Structural, and Bank-specific Determinants of Non-performing Loans in Central and Eastern Europe," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(5), pages 411-429, May.
    11. Aleš Melecký & Martin Melecký & Monika Šulganová, 2015. "Úvěry v selhání a makroekonomika: modelování systémového kreditního rizika v České republice [Non-Performing Loans and The Macroeconomy: Modeling the Systemic Credit Risk in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(8), pages 921-947.
    12. Petr Jakubík & Thomas Reininger, 2013. "Determinants of Nonperforming Loans in Central, Eastern and Southeastern Europe," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 48-66.
    13. Jordan Kjosevski & Mihail Petkovski, 2021. "Macroeconomic and bank-specific determinants of non-performing loans: the case of baltic states," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(4), pages 1009-1028, November.
    14. Michael Adusei & Ngozi Adeleye & Beatrice Sarpong‐Danquah, 2022. "Legal cost of contract enforcement and nonperforming loans: Is credit information sharing relevant?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2501-2514, September.
    15. Mustafa Tevfik Kartal & Derviş Kirikkaleli & Fatih Ayhan, 2023. "Nexus between non‐performing loans and economic growth in emerging countries: Evidence from Turkey with wavelet coherence approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1250-1260, April.
    16. Sanatkhani , Mahboobeh & Bazzazan , Fatemeh, 2021. "Stress Testing of Credit Risk in Iran’s Banking System," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(1), pages 93-114, March.
    17. Svetozar Tanasković & Maja Jandrić, 2015. "Macroeconomic and Institutional Determinants of Non-performing Loans," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 4(1), pages 47-62.

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    More about this item

    Keywords

    Non-performing loans; Banking system; Credit risk determinants; Vector error correction model;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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