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Examining of Determinants of Non-Performing Loans

Author

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  • Nikola Radivojevic
  • Jelena Jovovic

Abstract

In this paper the authors examine the determinants of NPL ratio using a cross-county analysis from the sample of 25 emerging countries. Using the panel data approach, determinants of NPL are analysed for the period from 2000 to 2011. The main aim of this paper is to draw a relevant econometric model, to demonstrate the impact of independent variables on the dependent variable by using static and dynamic model estimation techniques. The results show that NPLs rate can be mainly explained by crucial macroeconomic factors, such as the GDP and inflation rate, and bank-specific factors, such as ROA, CAP and lagged NPLs rate.

Suggested Citation

  • Nikola Radivojevic & Jelena Jovovic, 2017. "Examining of Determinants of Non-Performing Loans," Prague Economic Papers, University of Economics, Prague, vol. 2017(3), pages 300-316.
  • Handle: RePEc:prg:jnlpep:v:2017:y:2017:i:3:id:615:p:300-316
    DOI: 10.18267/j.pep.615
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    References listed on IDEAS

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    1. 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.
    2. Alexander F. Tieman & Wilko Bolt, 2004. "Banking Competition, Risk, and Regulation," IMF Working Papers 2004/011, International Monetary Fund.
    3. 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.
    4. Rime, Bertrand, 2001. "Capital requirements and bank behaviour: Empirical evidence for Switzerland," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 789-805, April.
    5. 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.
    6. Wilko Bolt & Alexander F. Tieman, 2004. "Banking Competition, Risk and Regulation," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(4), pages 783-804, December.
    7. Takashi Fukuda & Jauhari Dahalan, 2012. "Finance-Growth-Crisis Nexus in Asian Emerging Economies: Evidence from VECM and ARDL Assessment," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 5(2), pages 69-100, August.
    8. Mwanza Nkusu, 2011. "Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies," IMF Working Papers 11/161, International Monetary Fund.
    9. Raphael A Espinoza & Ananthakrishnan Prasad, 2010. "Nonperforming Loans in the GCC Banking System and their Macroeconomic Effects," IMF Working Papers 10/224, International Monetary Fund.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    11. Reinout De Bock & Alexander Demyanets, 2012. "Bank Asset Quality in Emerging Markets; Determinants and Spillovers," IMF Working Papers 12/71, International Monetary Fund.
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    Cited by:

    1. Matěj Maivald & Petr Teplý, 2020. "The impact of low interest rates on banks’ non-performing loans," FFA Working Papers 2.002, University of Economics, Prague, revised 25 Feb 2020.
    2. 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.
    3. Florian Manz, 2019. "Determinants of non-performing loans: What do we know? A systematic review and avenues for future research," Management Review Quarterly, Springer, vol. 69(4), pages 351-389, November.

    More about this item

    Keywords

    non-performing loans; credit risk; macroeconomic factors; bank-specific factors; static and dynamic panel;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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