Structural modeling of the impact of bank nonperforming loans on the banking sector: the Ukrainian experience
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DOIhttp://dx.doi.org/10.21511/bbs.15(2).2020.07
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Article InfoVolume 15 2020, Issue #2, pp. 67-78
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The paper aims to develop scientific and methodological approach to assessing the interaction of nonperforming loans of Ukrainian banking institutions, the profitability of the banking sector and its financial stability, which will allow a more detailed assessment of the directions and degree of mutual influence of these elements. To substantiate this interaction economically and mathematically, structural equation modeling was chosen. Particularly, Statistica was chosen as a software tool to assess the adequacy of the resulting model and determine the level of statistical significance of its parameters. Six key indicators were selected as a research information base, two for each subject of research: indicators of nonperforming loans in the banking sector (the volume of nonperforming loans and the ratio of problem loans excluding capital reserves), profitability indicators of the Ukrainian banking sector (assets profit and rate of return on capital), and indicators of financial stability of the Ukrainian banking sector (regulatory capital-to-risk-weighted assets ratio and liquid assets-to-total assets ratio). For calculations, statistic data of selected indicators for 2005–2019 were used.
As a result of calculations, mathematical data were obtained that accurately described the interaction of nonperforming loans of Ukrainian banking institutions, the profitability of the banking sector and its financial stability. The adequacy of the model was verified based on the following criteria: main summary statistics (ICSF criterion, ICS criterion, discrepancy function, maximum residual cosine), noncentrality fit indices (noncentrality parameter, population noncentrality parameter, Steiger-Lind RMSEA index, McDonald noncentrality index, adjusted population Gamma index), other single sample indices (Akaike information criterion, Schwarz criterion), and a normal probability plot.
- Keywords
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JEL Classification (Paper profile tab)G21, G28
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References34
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Tables7
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Figures2
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- Figure 1. Path diagram to study the relationship between non-performing loans of banking institutions, profitability and financial stability of the Ukrainian banking sector
- Figure 2. Checking the adequacy of the model of relationships between NPLs of banking institutions, profitability and financial stability of the Ukrainian banking sector
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- Table 1. Factors for analysis of the relationship between nonperforming loans, profitability and financial stability indicators in Ukraine’s banking sector
- Table 2. Statistic data to study the relationship between banking institutions’ nonperforming loans, profitability and financial stability of the Ukrainian banking sector for 2005–2019
- Table 3. Normalized output data for structural equation modeling
- Table 4. The results of structural modeling of the relationship between nonperforming loans of banking institutions, profitability and financial stability of the Ukrainian banking sector
- Table 5. Main summary statistics to study the relationship between banking institutions’ nonperforming loans, profitability and financial stability of the Ukrainian banking sector
- Table 6. Model noncentrality indices of the relationship between NPLs of banking institutions, profitability and financial stability of the Ukrainian banking sector
- Table 7. Single Sample Indices of the relationship between NPLs of banking institutions, profitability and financial stability of the Ukrainian banking sector
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- Abusharbeh, M. T. (2017). The impact of Banking Sector Development on Economic Growth: Empirical analysis from Palestinian economy. Journal of Emerging Issues in Economics, Finance and Banking, 6(2), 2306-2316.
- Apan, M., & İslamoğlu, M. (2019). Determining the relationship between non-performing loans, economic growth, and asset size: An application in Turkish Participation Banking Sector. Afro Eurasian Studies Journal, 8(1), 106-123.
- Ashraf, N., & Butt, Q. (2019). Macroeconomic and Idiosyncratic Factors of Non-Performing Loans: Evidence from Pakistan’s Banking Sector. Journal of Finance and Accounting Research, 1(2), 44-71.
- Barseghyan, L. (2010). Non-Performing Loans, Prospective Bailouts, and Japan’s Slowdown. Journal of Monetary Economics, 57(7), 873-890.
- Bykova, A., & Pindyuk, O. (2019). Non-Performing Loans in Central and Southeast Europe (Policy Notes and Reports No. 32). Vienna: The Vienna Institute for International Economic Studies.
- Carpenter, S. (2019) Releasing economic growth in Ireland and the EU: The impact of Non-Performing Loans. Resolving the issue (Master’s Thesis). Dublin, National College of Ireland.
- Ćurak, M., Pepur, S., & Poposki, K. (2013). Determinants of non-performing loans – evidence from Southeastern European banking systems. Banks and Bank Systems, 8(1), 45-53.
- Dudynets, L. A. (2011). Vplyv problemnykh aktyviv na stabilnist funktsionuvannia bankivskykh ustanov [Impact of nonperforming assets on the stability of banking institutions]. Rehionalna Ekonomika – Regional Economy, 2, 115-121. (In Ukrainian).
- Farooq, M. O., Elseoud, M. S. Ab., Turen, S., & Abdulla, M. (2019). Causes of Non-Performing Loans: The Experience of Gulf Cooperation Council Countries. Entrepreneurship and Sustainability Issues, 6(4), 1955-1974.
- Fernandez de Lis, S., Pagés, J. M., & Saurina, J. (2000). Credit Growth, Problem Loans and Credit Risk Provisioning in Spain (Banco de Espana Working Paper No. 0018).
- Gonzales-Hermosillo, B. (1999). Developing Indicators to Provide Early Warnings of Banking Crises. Finance & Development, June, 36-39.
- Keeton, W. R. (1999). Does Faster Loan Growth Lead to Higher Loan Losses? Federal Reserve Bank of Kansas City Economic Review, 84(2), 57-75.
- Kester, G., &Shane, L. (2011). Non-performing Loans and Bank Stability in Barbados. Economic Review, 37(3), 77-99.
- Kingu, P. S., Dr Macha, S., & Dr Gwahula, R. (2018). Impact of Non-Performing Loans on Bank’s Profitability: Empirical Evidence from Commercial Banks in Tanzania. International Journal of Scientific Research and Management, 6(1), 71-79.
- Kozmenko, S., & Belova, I. (2015). Peculiarities of identification of systemically important banks and assessment of their impact of the occurrence of economic crisis. Banks and Bank Systems, 10(3), 39-48.
- Kozmenko, S., & Savchenko, T. (2013). Development of an explicit rule of monetary policy for the economy of Ukraine. Investment Management and Financial Innovations, 10(1), 8-19.
- Kozmenko, S., Shkolnyk, I., & Bukhtiarova, A. (2016). Dynamics patterns of banks evaluations on the basis of Kohonen self-organizing maps. Banks and Bank Systems, 11(4-1), 179-192.
- Louzis, D. P., Vouldis, A. T., & Metaxas, V. L. (2010). Macroeconomic and Bank-Specific Determinants of Non-Performing Loans in Greece: A Comparative Study of Mortgage, Business and Consumer Loan Portfolios (Bank of Greece Working Paper No. 118).
- Makri, V., Tsagkanos, A., & Bellas, A. (2014). Determinants of Non-Performing Loans: The Case of Eurozone. Panoeconomicus, 61(2), 193-206.
- McGoven, J. (1993). Why Bad Loans Happen to Good Banks? The Journal of Commercial Lending, 75(6), 44-51.
- Md. Shahidul Islam, & Shin-Ichi Nishiyama. (2019). Non-performing loans of commercial banks in South Asian countries: adverse selection and moral hazard issues. Asian Economic and Financial Review, 9(9), 1091-1106.
- National Bank of Ukraine. (n.d.a). The high non-performing loans (NPL) ratio remains a significant problem for the banking sector.
- National Bank of Ukraine. (n.d.b). Financial Sector Statistics. Indicators of financial stability and reference data.
- Oliinyk, A. V., & Volovnik, I. B. (2016). Problemni kredyty ta yikh vplyv na platospromozhnist bankiv v Ukraini [Nonperforming loans and their impact on bank solvency in Ukraine]. Ekonomika ta Suspilstvo – Economy and Society, 6, 300-307. (In Ukrainian).
- Ozili, P. (2019a). Non-performing loans and financial development: new evidence. Journal of Risk Finance, 20(1), 59-81.
- Ozili, P. (2019b). Non-performing loans in European systemic and non-systemic banks. Journal of Financial Economic Policy.
- Partovi, E., & Matousek, R. (2019). Bank efficiency and non-performing loans: Evidence from Turkey. Research in International Business and Finance, 48, 287-309.
- Sinkey, J. F., & Greenawlat, M. B. (1991). Loan-Loss Experience and Risk-Taking Behaviour at Large Commercial Banks. Journal of Financial Services Research, 5(1), 43-59.
- Siti, A. M., & Maimunah, A. (2019). Macroeconomic factors influence on non-performing loans: the case of commercial banks in Malaysia. International Transaction International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 10(17), 1906-9642.
- The World Bank. (n.d.). The World Bank In Ukraine.
- Tsyhanov, S. A., & Pobocha, K. P. (2003). Influence of Non-performing Loans on banking activities. Formation of Market Economy, 11, 176-184.
- Tushnytskyi, A. R. (2010). Vplyv problemnykh aktyviv na stabilnist funktsionuvannia bankivskoi systemy Ukrainy [Impact of nonperforming assets on the stability of the banking sustem of Ukraine]. Scientific Bulletin of the National Forestry University of Ukraine, 20(5), 251-259.
- Zeng, S. (2011). Bank Non-Performing Loans (NPLS): A Dynamic Model and Analysis in China. Modern Economy, 3(1), 100-110.
- Zhuravka F., Makarenko M., Osetskyi V., Podmarov O., & Chentsov V. (2019). Impact of politically generated shocks on monetary performance: a cross-country comparison. Banks and Bank Systems, 14(3), 99-112.