IDEAS home Printed from https://ideas.repec.org/a/rbs/ijfbss/v9y2020i3p131-147.html
   My bibliography  Save this article

Impact of Credit Risk Management on Profitability of Commercial Banks in Bangladesh: An Estimation of Dynamic Panel Data Model

Author

Listed:
  • Raad Mozib Lalon

    (Department of Banking and Insurance, University of Dhaka, Dhaka, Bangladesesh)

  • Farhana Morshada

    (Department of Banking and Insurance, University of Chittagong, Chittagong, Bangladesesh)

Abstract

This paper attempts to reveal how several credit risk factors are affecting the profitability of commercial banks considering the econometric models estimated with Random effect, Fixed effect, Pooled OLS and GLS method followed by dynamic panel data model estimated with one-step system GMM approach to incorporate the issue of endogeneity, unobserved heterogeneity and profit persistence of data set covering from year 2010 to 2019 in Bangladesh. We have also adopted several diagnostic checks such as Model specification test, test of heteroskedasticty, cross sectional dependence test followed by test of autocorrelation and unit root test to examine the validity of the models selected for this study. The first part of our empirical investigation of the estimated models considering all methods reveals that out of all the independent credit risk factors only provision for loan losses to NPL ratio is significantly affecting the dependent variable measured with NIM (Net interest margin) ratio of banks under fixed effect method.The next part of our empirical results considering same methods divulges that NPL to total loans ratio, NPL to Total equity ratio and Provision for loan losses to total equity are also significantly affecting the dependent variable measured with ROE of banks. The third segment of our empirical findings of estimated models considering same approaches shows that only NPL to total loans ratio is statistically significant under all methods but the NPL to total equity ratio is significant under fixed effect andGLS method and Provision for loan losses to total equity is significant under GLS method only in explaining the changes in ROA measuring profitability of banks. Further investigation reveals that the dynamic impact of the said credit risk factors on profitability measured with ROE of banks has been successfully adopted by one-step system GMM approach considering all conditions required for estimation.

Suggested Citation

  • Raad Mozib Lalon & Farhana Morshada, 2020. "Impact of Credit Risk Management on Profitability of Commercial Banks in Bangladesh: An Estimation of Dynamic Panel Data Model," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(3), pages 131-147, July.
    • Handle: RePEc:rbs:ijfbss:v:9:y:2020:i:3:p:131-147
    as

    Download full text from publisher

    File URL: https://www.ssbfnet.com/ojs/index.php/ijfbs/article/view/874/675
    Download Restriction: no
    File URL: https://www.ssbfnet.com/ojs/index.php/ijfbs/article/view/874
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Psillaki, Maria & Tsolas, Ioannis E. & Margaritis, Dimitris, 2010. "Evaluation of credit risk based on firm performance," European Journal of Operational Research, Elsevier, vol. 201(3), pages 873-881, March.
    2. Sorokina, Nonna Y. & Thornton, John H. & Patel, Ajay, 2017. "Why do banks choose to finance with equity?," Journal of Financial Stability, Elsevier, vol. 30(C), pages 36-52.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    2. Zhang, Lifeng & Chao, Xiangrui & Qian, Qian & Jing, Fuying, 2022. "Credit evaluation solutions for social groups with poor services in financial inclusion: A technical forecasting method," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    3. Nikolaos Daskalakis & Eleni Tsota, 2023. "Reintroducing Industry Effects in Capital Structure Determination of SMEs," Business & Entrepreneurship Journal, SCIENPRESS Ltd, vol. 12(2), pages 1-4.
    4. Behn, Markus & Daminato, Claudio & Salleo, Carmelo, 2019. "A dynamic model of bank behaviour under multiple regulatory constraints," Working Paper Series 2233, European Central Bank.
    5. Simona Galletta & Sebastiano Mazzù & Valeria Naciti, 2021. "Banks' business strategy and environmental effectiveness: The monitoring role of the board of directors and the managerial incentives," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2656-2670, July.
    6. Mazni Asrida Abdullah & Azlina Ahmad & Nor Azam Mat Nayan & Zubir Azhar & Abd-Razak Ahmad, 2020. "Credit Risk Assessment Models of Retail Microfinancing: The Case of a Malaysian National Savings Bank¡¯s Branch," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(3), pages 73-83, June.
    7. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    8. Philippe Adair & Mohamed Adaskou, 2016. "The determinants of credit rationing of SMEs in France: A disequilibrium model upon a balanced panel [Les déterminants du rationnement du crédit des PME en France : un modèle de déséquilibre sur un," Post-Print hal-01667299, HAL.
    9. Philippe Adair & Mohamed Adaskou & David McMillan, 2015. "Trade-off-theory vs. pecking order theory and the determinants of corporate leverage: Evidence from a panel data analysis upon French SMEs (2002–2010)," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1006477-100, December.
    10. Ashraf, Badar Nadeem & Zheng, Changjun & Jiang, Chonghui & Qian, Ningyu, 2020. "Capital regulation, deposit insurance and bank risk: International evidence from normal and crisis periods," Research in International Business and Finance, Elsevier, vol. 52(C).
    11. Jie Wu & Xiang Lu & Dong Guo & Liang Liang, 2017. "Slacks-Based Efficiency Measurements with Undesirable Outputs in Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1005-1021, July.
    12. Gianpaolo Iazzolino & Maria Elena Bruni & Patrizia Beraldi, 2013. "Using DEA and financial ratings for credit risk evaluation: an empirical analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 20(14), pages 1310-1317, September.
    13. Dunbar, Kwamie, 2022. "Impact of the COVID-19 event on U.S. banks’ financial soundness," Research in International Business and Finance, Elsevier, vol. 59(C).
    14. Tzouvanas, Panagiotis & Kizys, Renatas & Chatziantoniou, Ioannis & Sagitova, Roza, 2020. "Environmental and financial performance in the European manufacturing sector: An analysis of extreme tail dependency," The British Accounting Review, Elsevier, vol. 52(6).
    15. Abd Hadi Mustaffa & Nur Zahidah Bahrudin & Zahariah Sahudin & Hasni Abdullah & Muhammad Ridzuan Abdul Aziz, 2023. "What have we Learned from Firm Efficiency Research for the Past 35 Years? A Bibliometric Analysis," Information Management and Business Review, AMH International, vol. 15(1), pages 216-227.
    16. Alraheb, Tammuz H. & Nicolas, Christina & Tarazi, Amine, 2019. "Institutional environment and bank capital ratios," Journal of Financial Stability, Elsevier, vol. 43(C), pages 1-24.
    17. Tomasz Korol, 2019. "Dynamic Bankruptcy Prediction Models for European Enterprises," JRFM, MDPI, vol. 12(4), pages 1-15, December.
    18. Tung-Hao Lee & Jiun-Kai Huang, 2013. "Financial Liberalization, Foreign Ownership and Corporate Operational Efficiency: The Case of Taiwan Market," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 34-47, August.
    19. Dimitrios Giokas & Nicolaos Eriotis & Ioannis Dokas, 2015. "Efficiency and productivity of the food and beverage listed firms in the pre-recession and recessionary periods in Greece," Applied Economics, Taylor & Francis Journals, vol. 47(19), pages 1927-1941, April.
    20. Chan, Alan T.L. & Ngai, Eric W.T. & Moon, Karen K.L., 2017. "The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry," European Journal of Operational Research, Elsevier, vol. 259(2), pages 486-499.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rbs:ijfbss:v:9:y:2020:i:3:p:131-147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Hasan Dincer (email available below). General contact details of provider: https://edirc.repec.org/data/ssbffea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.