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Ekonomika poljoprivrede
2019, vol. 66, iss. 2, pp. 569-578
article language: English
document type: Review Paper
published on: 16/07/2019
doi: 10.5937/ekoPolj1902569M
Creative Commons License 4.0
Research of factors of non performing agricultural loans by primary data panels
aUniversity of Business Academy in Novi Sad, Faculty of Applied Management, Economics and Finance, Belgrade
bTechnical College of Applied Studies, Kragujevac
cUniversity 'Union - Nikola Tesla', Faculty of Management, Sremski Karlovci

e-mail: amuhovic@gmail.com, radivojevic034@gmail.com, nikolavcurcic@yahoo.com

Abstract

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.

Keywords

Agricultural Loans; non-Performing Loans; profitability; capital adequacy ratio; return on own funds; returned on total assets.

References

Agarwal, N., Kwan, P., Paul, D. (2018) Merger and acquisition pricing using agent based modelling. Economics, Management, and Financial Markets, 13(1): 84-84
Boudriga, A., Taktak, N., Jellouli, S. (2009) Bank Specific, Business and Institutional Environment Determinants of Nonperforming Loans: Evidence from MENA Countries. in: Paper presented at Economic Research Forum 16th Annual Conference Cairo
Dudić, B., Drahošová, M., Lukić, J., Dudić, Z., Smoleň, J., Mirković, V. (2018) Counterparty Credit Risk Closure: Challenges in Big Data Era. in: The 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020, Proceedings of
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, vol. 65, br. 1, str. 95-106
Garsiya, M.T., 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
Godlewski, J.C. (2005) Bank capital and credit risk taking in emerging market economies. Journal of Banking Regulation, 6(2): 128-145
Huxley, S.J., Sidaoui, M. (2018) Gaining market share in emerging markets portfolios by moderating extreme returns: The case of Peru. Economics, Management, and Financial Markets, 13(3): 37-37
Jovovic, J. (2014) Determinants of Non-Performing Loans: Econometric Evidence Based on 25 Countries. City University London, Master thesis
Louzis, D.P., Vouldis, A.T., Metaxas, V.L. (2012) Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios. Journal of Banking & Finance, 36(4): 1012-1027
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, 7(1): 129-143
Makri, V., Tsagkanos, A., Bellas, A. (2014) Determinants of non-performing loans: The case of Eurozone. Panoeconomicus, vol. 61, br. 2, str. 193-206
Mileris, R. (2012) Macroeconomic Determinants of Loan Portfolio Credit Risk in Banks. Izerine Ekonomika / Engineering Economics, 23(5): 496-504
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
Nkusu, M. (2011) Nonperforming Loans and Macrofinancial Vulnerabilities in Advanced Economies. IMF Working Papers, 11(161): 1-1
Radivojevic, N., Jovovic, J. (2017) Examining of Determinants of Non-Performing Loans. Prague Economic Papers, 26(3): 300-316
Radivojević, N., Cvijanović, D., Sekulic, D., Pavlovic, D., Maksimović, G., Jovic, S. (2019) Econometric model of non-performing loans determinants. Physica A: Statistical Mechanics and its Applications, 520: 481-488
Stakić, N. (2014) Determinants of the nonperforming loans level movement in the banking sector of Serbia. Bankarstvo, vol. 43, br. 4, str. 122-145
Tabak, B., Guerra, M.S., Solange, M., Lima, E.Ja., Chang, E.J. (2005) The Stability-Concentration Relationship in the Brazilian Banking System. Banco Central do Brazil Working Papers, 145-145
Todorović, V., Furtula, S., Durkalić, D. (2018) Measuring performance of the Serbian banking sector using CAMELS model. Teme, vol. 42, br. 3, str. 961-977
Vučinić, M. (2014) Financial Stability-Comparative Analysis: Montenegro, Serbia and the Netherlands. Journal of Central Banking Theory and Practice, 4(1): 63-93
Wooldridge, J.M. (2009) Introductory econometrics: A modern approach. Mason, Ohio: South-Western Cengage Learning, 4th ed