Nexus between financial innovations, remittances and credit performance: Evidence from augmented ARDL and nonlinear ARDL
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DOIhttp://dx.doi.org/10.21511/imfi.18(3).2021.25
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Article InfoVolume 18 2021, Issue #3, pp. 295-311
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Funding dataFunder name: The Institute of Advanced Research (IAR), United International UniversityFunder identifier: IAR, UIUAward numbers: Grant UIU/IAR/01/2021/BE/07
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The motivation for this study is to assess the impact of financial innovation and remittances on bank-based financial institutions’ credit performance in Bangladesh for the period 1981–2019. The study applies augmented ARDL (AARDL) and nonlinear ARDL (NARDL) to identify both long-run and short-run effects and directional causality by performing non-granger casualty tests. AARDL confirms the presence of a long-run association between financial innovation, remittance, trade openness, FDI, and credit performance, which is measured by non-performing loans. In the long run, financial innovation and FDI volatility expose a positive link with NPLs, but remittance inflows and trade openness establish a negative association. Asymmetry shocks in financial innovation reveal a positive relationship with credit performance. In contrast, the asymmetric shock of remittance and trade openness unveil a negative tie to credit performance, especially in the long run. Furthermore, directional causality provides evidence to support a feedback hypothesis explaining causality between financial innovation and credit performance, as well as remittance inflows and credit performance. These findings suggest that credit performance is guided by future development in remittances and financial innovation; thus, closer attention from policymakers and financial experts is persistent to capitalize or mitigate the impact of the financial system.
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JEL Classification (Paper profile tab)O32, F24, H81, C22
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References64
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Tables11
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Figures1
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- Figure 1. Conceptual model for hypotheses testing
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- Table 1. Variable definition and sources
- Table 2. Null hypotheses for all three tests
- Table 3. Unit root test results
- Table 4. Ng-Parron unit root test
- Table 5. Augmented ARDL cointegration test
- Table 6. Long-run and short-run model coefficients
- Table 6 (cont.). Long-run and short-run model coefficients
- Table 7. NARDL model estimation results
- Table 7 (cont.). NARDL model estimation results
- Table 8. Toda-Yamamoto causality test results (dmax=4)
- Table 8 (cont.). Toda-Yamamoto causality test results (dmax=4)
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- Abid, L., Ouertani, M. N., & Zouari-Ghorbel, S. (2014). Macroeconomic and bank-specific determinants of household’s non-performing loans in Tunisia: A dynamic panel data. Procedia Economics and Finance, 13, 58-68.
- Adebola, S. S., Yusoff, W., & Dahalan, J. (2011). An ARDL approach to the determinants of non–performing loans in Islamic banking system in Malaysia. Kuwait Chapter of Arabian Journal of Business and Management Review, 33(830), 1-11.
- Akinlo, O., & Emmanuel, M. (2014). Determinants of non-performing loans in Nigeria. Accounting & Taxation, 6(2), 21.
- Akter, R., & Roy, J. K. (2017). The impacts of non-performing loan on profitability: An empirical study on banking sector of Dhaka stock exchange. International Journal of Economics and Finance, 9(3), 126-132.
- Amin, A. S., Imam, M. O., & Malik, M. (2019). Regulations, governance, and resolution of non–performing loan: Evidence from an emerging economy. Emerging Markets Finance and Trade, 55(10), 2275-2297.
- Amuakwa-Mensah, F., & Boakye-Adjei, A. (2015). Determinants of non-performing loans in Ghana banking industry. International Journal of Computational Economics and Econometrics, 5(1), 35-54.
- Anjom, W., & Karim, A. M. (2016). Relationship between non-performing loans and macroeconomic factors with bank specific factors: a case study on loan portfolios-SAARC countries perspective. ELK Asia Pacific Journal of Finance and Risk Management, 7(2), 1-29.
- Banerjee, A., Dolado, J. J., Galbraith, J. W., & Hendry, D. (1993). Co-integration, error correction, and the econometric analysis of non-stationary data. OUP Catalogue.
- Beaton, K. M., & Myrvoda, A. (2016). Non-Performing Loans in the Eccu. International Monetary Fund.
- Bhargava, A. (1986). On the theory of testing for unit roots in observed time series. The Review of Economic Studies, 53(3), 369-384.
- Boudriga, A., Taktak, N. B., & Jellouli, S. (2009). Banking supervision and non-performing loans: a cross-country analysis. Journal of Financial Economic Policy.
- Chen, F.-W., Feng, Y., & Wang, W. (2018). Impacts of financial inclusion on non-performing loans of commercial banks: Evidence from China. Sustainability, 10(9), 3084.
- Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366a), 427-431.
- Dimitrios, A., Helen, L., & Mike, T. (2016). Determinants of non-performing loans: Evidence from Euro-area countries. Finance Research Letters, 18, 116-119.
- Dorina, C., & Colesnicova, T. (2014). The impact of macroeconomic factors on non-performing loans in the Republic of Moldova.
- Elliott, G., Rothenberg, T. J., & Stock, J. (1996). Efficient Tests for an Autoregressive Unit Root. Econometrica, 64(4), 813-836.
- Fofack, H. L. (2005). Non-performing loans in Sub-Saharan Africa: causal analysis and macroeconomic implications. The World Bank.
- Ghatak, S., & Siddiki, J. U. (2001). The use of the ARDL approach in estimating virtual exchange rates in India. Journal of Applied Statistics, 28(5), 573-583.
- Ghosh, A. (2015). Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states. Journal of Financial Stability, 20, 93-104.
- Grigoli, F., Mansilla, M., & Saldías, M. (2018). Macro-financial linkages and heterogeneous non-performing loans projections: An application to Ecuador. Journal of Banking & Finance, 97, 130-141.
- Haniifah, N. (2015). Economic determinants of non-performing loans (NPLs) in Ugandan commercial banks. Taylor’s Business Review, 5(2), 137-153.
- Isik, O., & Bolat, S. (2016). Determinants of non-performing loans of deposit banks in Turkey. Journal of Business, Economics and Finance, 5(4), 341-350.
- Jiménez, G., & Saurina, J. (2005). Credit cycles, credit risk, and prudential regulation. Bank of Spain.
- Kjosevski, J., & Petkovski, M. (2017). Non-performing loans in Baltic States: determinants and macroeconomic effects. Baltic Journal of Economics, 17(1), 25-44.
- Klein, N. (2013). Non-performing loans in CESEE: Determinants and impact on macroeconomic performance. International Monetary Fund.
- Kumar, R. R., Stauvermann, P. J., Patel, A., & Prasad, S. S. (2018). Determinants of non-performing loans in banking sector in small developing island states: A study of Fiji. Accounting Research Journal, 31(2), 192-213.
- Kwiatkowski, D., Phillips, P., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1-3), 159-178.
- 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.
- Louzis, D., Vouldis, A., & Metaxas, V. (2010). 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., Tsagkanos, A., & Bellas, A. (2014). Determinants of non-performing loans: The case of Eurozone. Panoeconomicus, 61(2), 193-206.
- McNown, R., Sam, C. Y., & Goh, S. K. (2018). Bootstrapping the autoregressive distributed lag test for cointegration. Applied Economics, 50(13), 1509-1521.
- Minsky, H. P. (1964). Longer waves in financial relations: financial factors in the more severe depressions. The American Economic Review, 54(3), 324-335.
- Morakinyo, A. E., & Sibanda, M. (2016). The Determinants of Non-Performing Loans in the MINT Economies. Journal of Economics and Behavioral Studies, 8(5), 39-55.
- Morakinyo, A., & Sibanda, M. (2016). Non-performing loans and economic growth in Nigeria: a dynamic analysis. SPOUDAI–Journal of Economics and Business, 66(4), 61-81.
- Ng, S., & Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69(6), 1519-1554.
- Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326.
- Phillips, P. C. (1987). Time series regression with a unit root. Econometrica: Journal of the Econometric Society, 277-301.
- Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
- Polodoo, V., Seetanah, B., Sannassee, R., Seetah, K., & Padachi, K. (2015). An econometric analysis regarding the path of non performing loans – a panel data analysis from Mauritian banks and implications for the banking industry. The Journal of Developing Areas, 49(1), 53-64.
- Poudel, R. P. S. (2013). Macroeconomic Determinants of credit risk in nepalese banking industry. Paper presented at the Proceedings of the 21st International Business Research Conference.
- Qamruzzaman, M., & Jianguo, W. (2017). Financial innovation and economic growth in Bangladesh. Financial Innovation, 3(1), 19.
- Qamruzzaman, M., & Jianguo, W. (2018). Does Foreign Direct Investment, Financial Innovation, and Trade Openness Coexist in the Development Process: Evidence from Selected Asian and African Countries? British Journal of Economics, Finance and Management Sciences, 16(1), 73-94.
- Qamruzzaman, M., & Jianguo, W. (2018). SME financing innovation and SME development in Bangladesh: an application of ARDL. Journal of Small Business & Entrepreneurship, 1-25.
- Qamruzzaman, M., & Karim, S. (2020a). Do Remittance and Financial Innovation causes stock price through Financial Development: An Application of Nonlinear Framework.
- Qamruzzaman, M., & Karim, S. (2020b). Nexus between Economic Voaltility, Trade Opennes and FDI: An Application of ARDL, NARDL and Asymmetric Causalty. Asian Economic and Financial Review, 10(7), 790-807.
- Qamruzzaman, M., & Wei, J. (2018). Financial Innovation, Stock Market Development, and Economic Growth: An Application of ARDL Model. International Journal of Financial Studies, 6(3), 69.
- Qamruzzaman, M., & Wei, J. (2019). Financial Innovation and Financial Inclusion Nexus in South Asian Countries: Evidence from Symmetric and Asymmetric Panel Investigation. International Journal of Financial Studies, 7(4), 61.
- Qamruzzaman, M., Bardhan, A., & Nasya, S. (2020). Nexus between Remittance, Nonperforming Loan, Money Supply, and Financial Volatility: An Application of ARDL. International Journal of Applied Economics, Finance and Accounting, 8(1), 11-29.
- Qamruzzaman, M., Jianguo, W., Jahan, S., & Yingjun, Z. (2020). Financial innovation, human capital development, and economic growth of selected South Asian countries: An application of ARDL approach. International Journal of Finance & Economics.
- Qamruzzaman, M., Karim, S., & Wei, J. (2019). Does Asymmetric Relation Exist between Exchange Rate and Foreign Direct Investment in Bangladesh? Evidence from Nonlinear ARDL Analysis. Journal of Asian Finance, Economics and Business, 6(4), 115-128.
- Rahman, B., & Jahan, N. (2018). Non-Performing Loans (NPLs) in Islamic Banks of Bangladesh: An Empirical Study.
- Rajha, K. S. (2016). Determinants of non-performing loans: Evidence from the Jordanian banking sector. Journal of Finance and Bank Management, 4(1), 125-136.
- Reinhart, C. M., & Rogoff, K. S. (2011). From financial crash to debt crisis. American Economic Review, 101(5), 1676-1706.
- Rifat, A. M. (2016). An Analytical Study of Determinants of Non-Performing Loans: Evidence from Non-Bank Financial Institutions (NBFIs) of Bangladesh. Journal of Business and Technology (Dhaka), 55-67.
- Rosenkranz, P., & Lee, J. (2019). Non-performing Loans in Asia: Determinants and Macrofinancial Linkages. Asian Development Bank Economics Working Paper Series (574).
- Sam, C. Y., McNown, R., & Goh, S. K. (2019). An augmented autoregressive distributed lag bounds test for cointegration. Economic Modelling, 80, 130-141.
- Schumpeter. (2021). The Theory of Economic Development. Cambridge: Harvard University Press.
- Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in Honor of Peter Schmidt (pp. 281-314). Springer.
- Shingjergji, A. (2013). The Impact of Macroeconomic Variables on the Non Performing Loans in the Albanian Banking System During 2005–2012. Academic Journal of Interdisciplinary Studies, 2(9), 335.
- Škarica, B. (2014). Determinants of non-performing loans in Central and Eastern European countries. Financial Theory and Practice, 38(1), 37-59.
- Stiglitz, J., & Weiss, A. (1981). Credit Rationing In Markets With Imperfect Information. The American Economic, 85(1), 393-410.
- Tanasković, S., & Jandrić, M. (2015). Macroeconomic and institutional determinants of non-performing loans. Journal of Central Banking Theory and Practice, 4(1), 47-62.
- Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250.
- Turan, G., & Koskija, A. (2014). Non-performing loans in Albania. Academic Journal of Interdisciplinary Studies, 3(3), 491.