The Determinants of Non-Performing Loans in the ‘MINT’ Economies
AbstractThis paper investigates the major determinants of non-performing loans in the MINT (Mexico, Indonesia, Nigeria and Turkey) economies. Identifying major determinants of non-performing loans, which are observed to be growing in these countries in recent time, will also guide policy and forecasting future levels that will be useful for pre-emptive policies and actions. It uses static panel data and dynamic panel model analyses. Evidence suggests that in the four economies, capital adequacy ratio, liquidity ratio, total bank credit andreturn on assets are significant bank-specific determinants of non-performing loans. Also, while the return on assets, liquidity ratio and capital adequacy ratioshow a negative and significant relationship with non-performing loans, nominal exchange rate, money supply growth rate, total bank credit and lending rate show positive and very significant relationships with non-performing loans. Finally, corruption, an institutional variable, shows a very strong positive relationship with non-performing loans.
Ahmad, F. (2013).Corruption and information sharing as determinants of non-performing loans. Business Systems Research, 34(1), 87-98.
Akpan, U. S., Isihak, S. R. & Asongu, S. A. (2014). Determinants of foreign direct investment in fast-growing economies: A Study of BRICS and MINT. African Governance and Development Institute. (WP/14/002).
Aminu, B., Dogarawa, A. B. & Sabari, M. H. (2014). Impact of Loan Loss Provisioning On Banks Credits in Nigeria during Consolidation Period. International Journal of Business and Management Invention, 3(11), 9-19
Anderson, K. (2011). Financial Stability in the ECCU: Developing Early Warning Systems and a Financial Stability Index.
Andrews, M., Schank, T. & Upward, R. (2006).Practical fixed-effects estimation methods for the three-way error-components model. Stata Journal, 6(4), 461.
Arellano, M. & Stephen, B. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277-297.
Asongu, S. A. & Kodila-Tedika, O. (2015). Conditional determinants of FDI in fast emerging economies: an instrumental quantile regression approach.African Governance and Development Institute Working Paper, (15/003).
Auffhammer, M., Hsiang, S. M., Schlenker, W. & Sobel, A. (2013). Using weather data and climate model output in economic analyses of climate change. Review of Environmental Economics and Policy, ret016.
Bai, J. (2009). Panel data models with interactive fixed effects. Econometrica, 77(4), 1229-1279.
Barseghyan L. (2010). Non-performing loans, prospective bailouts, and Japan's slowdown. Journal of Monetary Economics, 57(7), 873-890
Baum, C. F., Schaffer, M. E. & Stillman, S. (2007). Enhanced routines for instrumental variables/GMM estimation and testing. Stata Journal, 7(4), 465-506.
Beck, R., Jakubik, P. & Piloiu, A. (2013). Non-performing loans: What matters in addition to the economic cycle? papers.ssrn.com
Beck, N. & Katz, J. N. (1995). What to do (and not to do) with time-series cross-section data. American political science review, 89(03), 634-647.
Benavente, J. M., Johnson, C. A. & Morande, F. G. (2003). Debt composition and balance sheet effects of exchange rate depreciations: A firm-level analysis for Chile. Emerging Markets Review, 4(4), 397-416.
Berger, A. N. & DeYoung, R. (1997). Problem loans and cost efficiency in commercial banks. Journal of Banking & Finance, 21(6), 849-870.
Blundell, R. & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115-143.
Blundell, R., Bond, S. & Windmeijer, F. (2000). Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator (No. W00/12). IFS working papers.
Boudriga, A., Taktak, N. B. & Jellouli, S. (2010). Bank specific, business and institutional environment determinants of banks nonperforming loans: Evidence from MENA countries. Economic Research Forum. (Working paperseries n0. 547).
Breuer, J. B. (2006). Problem bank loans, conflicts of interest, and institutions. Journal of Financial Stability, 2(3), 266-285.
Carney, R. (ed.). (2009). Lessons from the Asian Financial Crisis. New York: Routledge.
Chow, G. C. & Lin, A. L. (1971). Best linear unbiased interpolation, distribution, and extrapolation of time series by related series. The review of Economics and Statistics, 2, 372-375.
Cochran, J. P. & Call, S. T. (2000). Free banking and credit creation: Implications for business cycle theory. Quarterly Journal of Austrian Economics, 3(3), 35-50
De Luna-Martinez, J. (2000). Management and Resolution of Banking Crises. World Bank Discussion Paper, (413).
Desmet, K. (2000). Accounting for the Mexican banking crisis. Emerging Markets Review, 1(2), 165-181.
Driscoll, J. C. & Kraay, A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of economics and statistics, 80(4), 549-560.
Durotoye, A. (2014). The Crisis of Youth Unemployment in the MINT Countries: Causes, Consequences and Corrections. European Journal of Business and Management, 16(24), 123-135.
Fofack, H. (2005). Nonperforming loans in Sub-Saharan Africa: Causal analysis and macroeconomic implications. World Bank Policy Research. (Working paper n0. 3769).
Friedman, J. (1994). Cultural identity and global process. Sage. Volume 31.
Eigner, F. (2009) Dynamic Panel Data Methods for cross-section panels. University of Vienna Press.homepage.univie.ac.at/robert.kunst/pres09_pan_eigner.pdf
Godlewski, C. J. (2006). Regulatory and Institutional Determinants of Credit Risk Taking and a Bank's Default in Emerging Market Economies A Two-Step Approach. Journal of Emerging Market Finance, 5(2), 183-206.
Goel, R. K. & Hasan, I. (2011). Economy-wide corruption and bad loans in banking: international evidence. Applied Financial Economics 21(7), 455-461.
Greenidge, K. & Grosvenor, T. (2010).Forecasting non-performing loans in Barbados. Journal of Business, Finance and Economics in Emerging Economies, 5, 80-107.
Griffith, D. A. & Chun, Y. (2014). An eigenvector spatial filtering contribution to short range regional population forecasting. Economics and Business Letters, 3(4), 208-217.
Gujarati, D. N. & Sangeetha, K. (2007). Basic Econometrics. New Delhi: Tata McGraw Hill.
Hasan, I. & Wall, L. D. (2004). 'Determinants of the Loan Loss Allowance: Some Cross-Country Comparisons', The Financial Review, 39, 129-152.
Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 2, 1251-1271.
Hayes, A. F. & Preacher, K. J. (2014). Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67(3), 451-470.
Hedges, L. V. & Vevea, J. L. (1998). Fixed-and random-effects models in meta-analysis. Psychological methods, 3(4), 486.
Hoechle, D. (2007). Robust standard errors for panel regressions with cross-sectional dependence. Stata Journal, 7(3), 281.
Hsiao, C. & Tahmiscioglu, A. K. (2008). Estimation of dynamic panel data models with both individual and time-specific effects. Journal of Statistical Planning and Inference, 138(9), 2698-2721.
Hu, J. L., Li, Y. & Chiu, Y. H. (2004). Ownership and nonperforming loans: Evidence from Taiwan's banks. The Developing Economies, 42(3), 405-420.
International Monetary Fund. (2004). www.imf.org/external/pubs/ft/gfsr/2004/02
International Monetary Fund. (2010). https://www.imf.org/external/pubs/ft/gfsr/2010/02/pdf/text.pdf International Monetary Fund. (2013). https://www.imf.org/External/Pubs/FT/GFSR/2013/01/pdf/text.pdf
Jakubik, P. & Moinescu, B. (2015). Assessing optimal credit growth for an emerging banking system. Economic Systems, 39(4), 577-591.
Jiménez, G., Ongena, S., Peydró, J. L. & Saurina, J. (2014). Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking? Econometrica, 82(2), 463-505.
Karabulut, G., Bilgin, M. H. & Danisoglu, A. C. (2010). Determinants of currency crises in Turkey: some empirical evidence. Emerging Markets Finance and Trade, 46(sup1), 51-58.
Keeton, W. R. & Morris, C. S. (1987). Why Do Banks’sLoan Losses Differ? Economic Review, 72(5), 3-21.
Kezdi, G. (2004). Robust standard error estimation in fixed-effects panel models. Hungarian Statistical Review, 9, 95-116.
Klein, N. (2013). Non-performing loans in CESEE: Determinants and impact on macroeconomic performance. N Klein - 2013 - papers.ssrn.com.
Kokotović, F. & Kurečić, P. (2016). The MINT Countries: A Regression Analysis of the Selected Economic Features. In 14th International Scientific Conference on Economic and Social Development.
Krueger, A. &Tornell, A. (1999). The role of bank restructuring in recovering from crises: Mexico 1995-98. National Bureau of Economic Research Cambridge, MA. (NBER working paper no. 7402) AO Krueger, A Tornell - NBER Working Paper, 1999 - papers.ssrn.com
Larcker, D. F. & Rusticus, T. O. (2010). On the use of instrumental variables in accounting research. Journal of Accounting and Economics, 49(3), 186-205.
Leaven, L. & Valencia, F. (2010). Resolution of Banking Crises: The Good, the Bad, and the Ugly, IMF Working Paper 10/146.
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.
Maddala, G. S. (1977). Identification and estimation problems in limited dependent variable models. In Natural Resources, Uncertainty and General Equilibrium Systems: Essays in Memory of Rafael Lusky (pp. 219-239). Academic Press New York.
Makin, J. H. (2007). Risk and Return in Subprime Mortgages. Washington, DC: American Enterprise Institute.
Makri, V., Tsagkanos, A. & Bella, A. (2014). Determinants of non-performing loans: The case of Eurozone. Panoeconomicus, 61(2), 191
Mishkin, F. S. (1999). Lessons from the Asian crisis. Journal of International Money and Finance, 18(4), 709-723.
Moinescu, B. G. (2012). Determinants of nonperforming loans in Central and Eastern European Countries: Macroeconomic indicators and credit discipline. Review of Economic and Business Studies, 10, 47-58.
Mutl, J. & Pfaffermayr, M. (2011). "The Hausman test in a Cliff and Ord panel model. The Econometrics Journal 14(1), 48-76.
Nerlove, M. & Balestra, P. (1996). Formulation and estimation of econometric models for panel data. In The econometrics of panel data, 2d rev. ed., edited by L. Mátyás, and P. Sevestre, 3-22. Dordrecht, the Netherlands: Kluwer
Nkusu, M. (2011). Nonperforming loans and macrofinancial vulnerabilities in advanced economies. IMF Working Papers, 1-27.
O'Neill, J. (2014). The MINT Countries: Next Economic Giants. BBC News Online, 6.
Özatay, F., Sak, G., Garber, P. & Ghosh, A. (2002). Banking Sector Fragility and Turkey's 2000-01 Financial Crisis [with Comments and Discussion]. Brookings Trade Forum, 1, 121-172.
Öztürk, Z. & Yıldırım, E. (2015). MINT ÜlkelerindeÇevresel Kuznets Eğrisi: UzunDönem Panel NedensellikTestindenKanıtlar. AİBÜ-İİBF EkonomikveSosyalAraştırmalarDergisi.
Pao, S. H., Lin, J. H. & Chang, S. H. (2011). The effects of the change of bond insurance premium and capital regulatory ratio on loan and deposit rates: an option-pricing model. WSEAS Transactions on Mathematics, 10(7), 219-228.
Reinhart, C. M. & Rogoff, K. S., (2010). Growth in a time of debt (digest summary). American Economic Review, 100(2), 573-578
Rowland, P. & José Luis Torres T. (2004). Determinants of spread and creditworthiness for emerging market sovereign debt: A panel data study. Banco de la República, Subgerencia de Estudios Económicos, Bogota, Columbia.
Rudd, M. A. (2000). Live long and prosper: collective action, social capital and social vision. Ecological economics, 34(1), 131-144.
Sinkey Jr, J. F. & Greenawalt, M. B. (1991). Loan-loss experience and risk-taking behavior at large commercial banks. Journal of Financial Services Research, 5(1), 43-59.
Škarica, B. (2013). Determinants ofnon-performing loans in Central and Eastern European countries.EFZG Working Paper Series/EFZG Serija članaka u nastajanju, (07), 1-19.
Somoye, R. O. C. (2010). The Variation of Risks on Non-Performing Loans on Bank Performances in Nigeria. Indian Journal of Economics & Business, 9(1).
Stiglitz, J. E. (1989), Markets, market failures, and development. The American Economic Review, 79(2), 197-203
Vodova, P. (2011). Liquidity of Czech commercial banks and its determinants. International Journal of Mathematical Models and Methods in Applied Sciences, 5(6), 1060-1067
World Bank. (2014). Finance for Growth – Policy Choices in a Volatile World. World Bank Research Report. Washington, DC: Oxford University Press.
Roodman, D. (2009). Oxford Bulletin of Economics and statistics- Wiley Online Library Wilson, D. & Purushothaman, R. (2003). Dreaming with BRICs: The path to 2050 (Vol. 99). Goldman, Sachs & Company. Yang, L. (2003). The Asian financial crisis and non-performing loans: evidence from commercial banks in Taiwan. International Journal of Management, 20(1), 69 Zeng, S. (2012). Bank non-performing loans (NPLS): A dynamic model and analysis in China. Modern Economy, 3, 100-110.
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