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http://dx.doi.org/10.13106/jafeb.2021.vol8.no12.0095

Macroeconomic and Firm-specific Factors Influencing Non-Performing Loans in Bangladesh: A Panel Data Regression Approach  

AMIN, Md. Iftekharul (Institute of Business Administration, University of Dhaka)
AHSAN, Aumit (Institute of Business Administration, University of Dhaka)
Al MUKTADIR, Mahmud (Institute of Business Administration, University of Dhaka)
AZAD, Muntasir (Institute of Business Administration, University of Dhaka)
REZANUR, Razib Hasan Bin (Institute of Business Administration, University of Dhaka)
Publication Information
The Journal of Asian Finance, Economics and Business / v.8, no.12, 2021 , pp. 95-105 More about this Journal
Abstract
A prerequisite of a sound financial system is effective channeling of financial resources to efficient users; hence maximizing economic and societal welfare. To that end, the prevalence of bad loans in banks in emerging economies is a major policy concern. In an attempt to add to the growing body of literature explaining the interrelationship between macroeconomic and firm-specific factors, and non-performing loans (NPL), this paper examines data from 24 scheduled commercial banks in Bangladesh from 2008 to 2019. Macroeconomic factors as well as firm-specific factors related to profitability, capital strength, and efficiency are considered. Panel data regression analysis is performed to estimate pooled OLS, fixed effects, and random effects models. Following the necessary testing, it was found that the fixed effects model with robust standard error is appropriate. Results show that return on assets and inflation have a negative influence on NPL, but GDP growth has a favorable impact. The paper concludes by asserting that the evidence supports similar findings from studies both in Bangladesh and elsewhere and it is noted that a combination of these macroeconomic and firm-specific factors explains only a small portion of the total variation in NPL.
Keywords
Classified Bank Assets; Firm-Specific Variables; Fixed Effects Model; Macroeconomic Variables; NPL determinants;
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1 Shamsudheen, S. V., & Masih, M. (2015). Does the conventional benchmark prop up non-performing loans in Islamic banks? A case study of Malaysia with ARDL approach (Working Paper No. 65845). Munich, Germany: Munich Personal RePEc Archive. https://mpra.ub.uni-muenchen.de/65845/1/MPRA_paper_65845.pdf
2 Ahmad, N., & Ariff, M. (2008). A multi-country study of bank credit risk determinants. The International Journal of Banking and Finance, 5(1), 135-152. https://doi.org/10.32890/IJBF2008.5.1.8362   DOI
3 Tarchouna, A., Jarraya, B., & Bouri, A. (2017). How to explain non-performing loans by many corporate governance variables simultaneously? A corporate governance index is built for US commercial banks. Research in International Business and Finance, 42, 645-657. https://doi.org/10.1016/j.ribaf.2017.07.008   DOI
4 Khemraj, T., & Pasha, S. (2009). The determinants of non-performing loans: An econometric case study of Guyana (Working Paper No. 53128). Germany: University Library of Munich. https://ideas.repec.org/p/pra/mprapa/53128.html
5 Towhid, A. S. M., Havidz, S. A. H., & Alnawah, M. A. Q. A. (2019). Bank-specific and macroeconomic determinants of non-performing loans of commercial banks in Bangladesh. Dinasti International Journal of Management Science, 1(1), 86-101. https://doi.org/10.31933/dijms.v1i1.28   DOI
6 Anastasiou, D., Louri, H., & Tsionas, E. (2016). Determinants of non-performing loans: Evidence from Euro-area countries. Finance Research Letters, 18, 116-119. https://doi.org/10.1016/j.frl.2016.04.008   DOI
7 Ara, S., & Islam, M. M. (2019). The impact of lending interest rate on nonperforming loans rate in the banking sector in Bangladesh. International Data Conference Series, 18, 265-272. http://www.ru.ac.bd/stat/wp-content/uploads/sites/25/2020/03/ICDSSDG_COR-2019_paper_45F.pdf
8 Bhattarai, B. P. (2018). Assessing banks internal and macroeconomic factors as determinants of non-performing loans: Evidence from Nepalese commercial banks. International Journal of Accounting & Finance Review, 3(1), 13-32. https://doi.org/10.46281/ijafr.v3i1.28   DOI
9 Cebenoyan, A. S., & Strahan, P. E. (2004). Risk management, capital structure, and lending at banks. Journal of Banking & Finance, 28(1), 19-43. https://doi.org/10.1596/1813-9450-3769   DOI
10 Kumar, D., Hossain, M. Z., Islam, M. S., & others. (2020). Non-performing loans in banking sector of Bangladesh: An evaluation. International Journal of Applied Economics, Finance, and Accounting, 6(1), 22-29. https://doi.org/10.33094/8.2017.2020.61.22.29   DOI
11 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), 11(1), 55-67. https://doi.org/10.3329/jbt.v11i1.34242   DOI
12 Lee, J. M., Chen, K. H., Chang, I. C., & Chen, C. C. (2018). Determinants of non-performing loans, firm's corporate governance, and macroeconomic factors. International Journal of Finance & Economics, 6(3), 54-66. https://doi.org/10.1002/ijfe.2139   DOI
13 Tran, S. H., & Nguyen, L. T. (2020). Financial development, business cycle, and bank risk in Southeast Asian Countries. The Journal of Asian Finance, Economics, and Business, 7(3), 127-135. https://doi.org/10.13106/jafeb.2020.vol7.no3.127   DOI
14 Waqas, M., Fatima, N., Khan, A., & Arif, M. (2017). Determinants of non-performing loans: A comparative study of Pakistan, India, and Bangladesh. International Journal of Finance & Banking Studies, 6(1), 51-68. https://doi.org/10.20525/ijfbs.v6i1.617   DOI
15 Warue, B. N. (2013). The effects of bank-specific and macroeconomic factors on nonperforming loans in commercial banks in Kenya: A comparative panel data analysis. Advances in Management and Applied Economics, 3(2), 1-7. https://ideas.repec.org/a/spt/admaec/v3y2013i2f3_2_7.html
16 Lata, R. S. (2015). Non-performing loan and profitability: The case of state-owned commercial banks in Bangladesh. World Review of Business Research, 5(3), 171-182. https://www.semanticscholar.org/paper/Non-Performing-Loan-andProfitability%3A-The-Case-of-Lata
17 Anastasiou, D., Bragoudakis, Z., & Malandrakis, I. (2019). Non-performing loans, governance indicators, and systemic liquidity risk: Evidence from Greece. SSRN Journal, 23(1), 79-111. https://doi.org/10.2139/ssrn.3402414   DOI
18 Badar, M., Javid, A. Y., & Zulfiquar, S. (2013). Impact of macroeconomic forces on nonperforming loans: An empirical study of commercial banks in Pakistan. WSEAS Transactions on Business and Economics, 10(1), 40-48. https://www.wseas.org/multimedia/journals/economics/2013/56-259.pdf
19 Hersugondo, H., Anjani, N., & Pamungkas, I. D. (2021). The role of non-performing asset, capital, adequacy, and insolvency risk on bank performance: A case study in Indonesia. The Journal of Asian Finance, Economics, and Business, 8(3), 319-329. https://doi.org/10.13106/jafeb.2021.vol8.no3.0319   DOI
20 Rehman, R. U., Zhang, J., & Ahmad, M. I. (2016). The political system of a country and its non-performing loans: A case of emerging markets. International Journal of Business Performance Management, 17(3), 241-265. https://doi.org/10.1504/IJBPM.2016.077243   DOI
21 Roy, J. (2015). Non-performing loan on profitability: Evidence from banking sector of Dhaka stock exchange. SSRN Journal, 1(1), 1-13. https://doi.org/10.2139/ssrn.2687388   DOI
22 Roy, S., Dey, P. K., & Bhowmik, P. (2014). Non-performing loans in private commercial banks of Bangladesh: Macro-economic determinants and impacts. The Jahangirnagar Journal of Business Studies, 4(1), 47-57.
23 Sheefeni, J. P. S. (2015). The impact of macroeconomic determinants on non-performing loans in Namibia. International Review of Research in Emerging Markets and the Global Economy, 1(4), 612-632. https://tarjomefa.com/wp-content/uploads/2017/09/7731-English-TarjomeFa.pdf
24 Puspitasari, D. M., Febrian, E., Anwar, M., Sudarsono, R., & Napitupulu, S. (2021). Determinants of default risks and risk management: Evidence from rural banks in Indonesia. The Journal of Asian Finance, Economics, and Business, 8(8), 497-502. https://doi.org/10.13106/jafeb.2021.vol8.no8.0497   DOI
25 Zaludin, Z., Sarita, B., Syaifuddin, D. T., & Sujono, S. (2021). The effects of managerial overconfidence and corporate governance on investment decisions: An empirical study from Indonesia. The Journal of Asian Finance, Economics, and Business, 8(10), 361-371. https://doi.org/10.13106/jafeb.2021.vol8.no10.0361   DOI
26 Pham, T. B. D., & Pham, T. K. K. (2021). The impact of ownership structure on the credit risk of commercial banks: An empirical study in Vietnam. The Journal of Asian Finance, Economics, and Business, 8(7), 195-201. https://doi.org/10.13106/jafeb.2021.vol8.no7.0195   DOI
27 Louzis, D., Vouldis, A., & 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. https://doi.org/10.1016/j.jbankfin.2011.10.012   DOI
28 Luong, T. M. N., & Nguyen, P. A. (2021). Optimal capital adequacy ratios for commercial banks: Empirical evidence from Vietnam. The Journal of Asian Finance, Economics, and Business, 8(10), 47-56. https://doi.org/10.13106/JAFEB.2021.VOL8.NO10.0047   DOI
29 Mondal, T. (2016). Sensitivity of non-performing loan to macroeconomic variables: Empirical evidence from banking industry of Bangladesh. Global Journal of Management and Business Research, 16(4), 20-28. https://globaljournals.org/GJMBR_Volume16/4-Sensitivity-of-Non-Performing-Loan.pdf
30 Park, H. M. (2011). Practical guides to panel data modeling: A step-by-step analysis using stata. Minami Uonuma: International University of Japan.
31 Rachman, R. A., Kadarusman, Y. B., Anggriono, K., & Setiadi, R. (2018). Bank-specific factors affecting non-performing loans in developing countries: A case study of Indonesia. The Journal of Asian Finance, Economics, and Business, 5(2), 35-42. https://doi.org/10.13106/jafeb.2018.vol5.no2.35   DOI