RESEARCH OF FACTORS OF NON PERFORMING AGRICULTURAL LOANS BY PRIMARY DATA PANELS
DOI:
https://doi.org/10.5937/ekoPolj1902569MKeywords:
Agricultural Loans, nonPerforming Loans, profitability, capital adequacy ratio, return on own funds, returned on total assetsAbstract
The paper examines factors that influence the occurrence and movement of nonperforming agricultural loans in Serbia, Montenegro and Bosnia and Herzegovina. The aim of the paper is to determine the direction and significance of the relationship between the key micro and macroeconomic factors and the impractical agricultural loans in these countries, but also to point out the importance of applying dynamic data panel evaluators when it comes to the study of this problem.
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References
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14. Nkusu, M.(2011), Nonperforming Loans and Macrofinancial ulnerabilities in Advanced Economies. IMF Working Paper 161.
15. Radivojevic, N., Cvijanovic, D., Sekulic D., Pavlovic, D., Maksimovic, G., Jovic, G. (2019), Econometric model of non-performing loans determinants, Physica A: Statistical Mechanics and its Applications, Vol. 520, 481-488.
16. Radivojevic, N., Jovovic, J., (2017), Examining of determinants of non-performing loans, Prague economic paper, 26 (3), 300-316.
17. Stakić, N., (2014), Determinants of trends in the level of non-performing loans in the banking sector in Serbia. Bankarstvo, No. 4.,122 -146.
18. Tabak, B. Guerra, M. S., Solange, M, Lima, E.JA., Chang, E.J. (2005), The StabilityConcentration Relationship in the Brazilian Banking System. The Banco Central do Brazil Working Papers, 145.
19. Todorović, V., Furtula, S., Durkalić, D., (2018), Measuring performance of the Serbian Banking sector using CAMELS model, TEME, Niš, 42(3), 961-977, DOI: 10.22190/TEME1803961T.
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21. Wooldridge, J., M. (2009), Introductory econometrics: a modern approach. 4th ed. Mason, Ohio: South-Western Cengage Learning.
2. Boudriga, A., Taktak, N., Jellouli, S. (2009), Bank Specific, Business and Institutional Environment Determinants of Nonperforming Loans: Evidence from MENA Countries. Paper presented at Economic Research Forum 16th Annual Conference Cairo.
3. Dudić., B., Drahošová., M., Lukić., J., Dudić., Z., Smoleň., J., Mirković., V. (2018), Counterparty Credit Risk Closure: Challenges in Big Data Era, Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020.
4. Durkalić, D., Ćurčić, M., (2019), Mutual influence of the international investment position and the net government position with the banking sector of the Republic of Serbia, Ekonomika, Niš, 65 (1), 78-91.
5. Godlewski, J. C. (2005), Bank capital and credit risk taking in emerging market economies. Journal of Banking Regulation, 6(2), 128-145.
6. Garsiya, M. T., and Fernandez, R.M.D. (2007), Risk-taking behavior and ownership in the banking industry: The Spanish evidence. Journal of Economics and Business, 60 (4), 332 – 354.
7. Huxley, S. J., & Sidaoui, M. (2018). Gaining market share in emerging markets portfolios by moderating extreme returns: The case of Peru. Economics, Management & Financial Markets, 13(3), 37–55.
8. Jovovic, J. (2014), Determinants of Non-Performing Loans: Econometric Evidence Based on 25 Countries. Master thesis, City University London.
9. Louzis, P. D., Vouldis, A. T., Metaxas, V. L. (2012), Macroeconomic and bankspecific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of Banking and Finance, 36 (1), 1012-1027.
10. Makri, V., Tsagkanos, A., Bellas, A. (2014), Determinants of Non-Performing Loans: The Case of Eurozone. Panoeconomicus, 2, 193-206.
11. Makri, V., Papadatos, K. (2012), How accounting information and macroeconomic environment determine credit risk, Evidence from Greece. International Journal of Economic Sciences and Applied Research, Vol. 7 (1), 129-143.
12. Mileris, R. (2012), Macroeconomic Determinants of Loan Portfolio Credit Risk in Banks. Izerine Ekonomika-Engineering Economics, 23(5), 496-504.
13. Muhović, A. Radivojevic, N, Curcic, N. (2018), Empirical research determinant of NPL in emerging markets by using the fixed effects method: Study of the case of Serbia, Montenegro and Bosnia and Herzegovina, Vojno delo, No. 7.,335 – 344.
14. Nkusu, M.(2011), Nonperforming Loans and Macrofinancial ulnerabilities in Advanced Economies. IMF Working Paper 161.
15. Radivojevic, N., Cvijanovic, D., Sekulic D., Pavlovic, D., Maksimovic, G., Jovic, G. (2019), Econometric model of non-performing loans determinants, Physica A: Statistical Mechanics and its Applications, Vol. 520, 481-488.
16. Radivojevic, N., Jovovic, J., (2017), Examining of determinants of non-performing loans, Prague economic paper, 26 (3), 300-316.
17. Stakić, N., (2014), Determinants of trends in the level of non-performing loans in the banking sector in Serbia. Bankarstvo, No. 4.,122 -146.
18. Tabak, B. Guerra, M. S., Solange, M, Lima, E.JA., Chang, E.J. (2005), The StabilityConcentration Relationship in the Brazilian Banking System. The Banco Central do Brazil Working Papers, 145.
19. Todorović, V., Furtula, S., Durkalić, D., (2018), Measuring performance of the Serbian Banking sector using CAMELS model, TEME, Niš, 42(3), 961-977, DOI: 10.22190/TEME1803961T.
20. Vučinić, M. (2014), Financial Stability – Comparative Analysis: Montenegro, Serbia and the Netherlands, Journal of Central Banking Theory and Practice, No. 1, 63-93.
21. Wooldridge, J., M. (2009), Introductory econometrics: a modern approach. 4th ed. Mason, Ohio: South-Western Cengage Learning.
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Published
2019-06-25
How to Cite
Muhović, A., Radivojević, N., & Ćurčić, N. (2019). RESEARCH OF FACTORS OF NON PERFORMING AGRICULTURAL LOANS BY PRIMARY DATA PANELS. Ekonomika Poljoprivrede, 66(2), 569–578. https://doi.org/10.5937/ekoPolj1902569M
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Review articles
