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Examining of Determinants of Non-Performing Loans

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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, Prague University of Economics and Business, 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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    Cited by:

    1. Candida Ferreira, 2023. "The Influence of Bank Performance, Market Condition and Economic Growth on Non-Performing Loansa," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 77-98, June.
    2. Barra, Cristian & Ruggiero, Nazzareno, 2021. "Do microeconomic and macroeconomic factors influence Italian bank credit risk in different local markets? Evidence from cooperative and non-cooperative banks," Journal of Economics and Business, Elsevier, vol. 114(C).
    3. Petr Jakubik & Eyup Kadioglu, 2022. "Factors affecting bank loan quality: a panel analysis of emerging markets," International Economics and Economic Policy, Springer, vol. 19(3), pages 437-458, July.
    4. 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.
    5. Segun Thompson Bolarinwa & Anthony Enisan Akinlo, 2022. "Determinants of nonperforming loans after recapitalization in the Nigerian banking industry: Does competition matter?," African Development Review, African Development Bank, vol. 34(3), pages 309-323, September.
    6. Quoc Trung Nguyen Kim, 2022. "The Effect of Agency Problem and Internal Control on Credit Risk at Commercial Banks in Vietnam," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 13(1), pages 1-22, January.
    7. Matěj Maivald & Petr Teplý, 2020. "The impact of low interest rates on banks' non-performing loans," FFA Working Papers 2.002, Prague University of Economics and Business, revised 25 Feb 2020.
    8. 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.

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    More about this item

    Keywords

    non-performing loans; credit risk; macroeconomic factors; bank-specific factors; static and dynamic panel;
    All these keywords.

    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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