Analysing Factors Driving Pakistan’s Commercial Banking Credit Risk

An Empirical Investigation

Authors

  • Nadia Saleem Abid Department of Business Administration, National College of Business Administration & Economics, Bahawalpur – Pakistan
  • Shabeer Khan (Ph.D) College of Business Administration, Al-Yamamah University, Riyadh – Saudi Arabia
  • Abid Mahmood Muhammad (Ph.D) Department of Business Administration, IBA University, Sukkur – Pakistan https://orcid.org/0000-0002-7715-920X
  • Abidullah Khan (Ph.D) Department of Islamic Economics and Finance, Sakarya University, Serdivan – Turkey https://orcid.org/0000-0001-5072-5948
  • Abid Mehmood (Ph.D) Department of Business Studies, Bahria University, Karachi – Pakistan https://orcid.org/0000-0002-3837-2286

DOI:

https://doi.org/10.48112/bms.v1i4.963

Abstract

Abstract Views: 554

Credit risk, commonly measured by non-performing loans (NPLs), is a key indicator of commercial banks' financial stability. This empirical study scrutinises selected factors influencing credit risk, measured through NPLs in Pakistani commercial banks. Examining a balanced panel of 18 banks spanning 15 years (2006-2020), totalling 270 observations, the study employs the feasible generalized least square (FGLS) method to address panel data issues. Multiple linear regression analysis with random and fixed effects, facilitated by STATA 17, reveals that, except for the unemployment rate, all identified factors significantly impact NPLs. Particularly noteworthy are inflation and management efficiency, identified as novel contributors to NPL variability. The study advocates for autonomous and responsible regulatory policies to adeptly control credit risk, emphasizing the necessity for commercial banks to adopt robust screening and control methods in lending. It further recommends a proactive role for the Pakistani government in fostering a conducive environment through attractive interest rates and inflation control, anticipating these measures to play a pivotal role in facilitating lending, mitigating credit risk, and indirectly enhancing the country's economic growth.

Keywords:

Commercial banking, Credit risk, Interest rate, Management efficiency, Non-performing loans

Author Biographies

Nadia Saleem Abid,

She is a Research Scholar at the Department of Business Administration, National College of Business Administration & Economics in Bahawalpur – Pakistan. She received her MBA from the National College of Business Administration & Economics in Bahawalpur – Pakistan.

Shabeer Khan (Ph.D),

He is an Assistant Professor at the College of Business Administration, Al-Yamamah University in Riyadh – Saudi Arabia. He obtained his Doctorate in Finance from INCEIF University in Kuala Lumpur – Malaysia.

Abid Mahmood Muhammad (Ph.D),

He is an Assistant Professor at the Department of Business Administration, IBA University in Sukkur – Pakistan. He obtained his Doctorate in Management - Islamic Finance from Universiti Kuala Lumpur in Kuala Lumpur – Malaysia.

Abidullah Khan (Ph.D),

He is an Assistant Professor at the Department of Islamic Economics and Finance, Sakarya University in Serdivan – Turkey. He obtained his Doctorate in Islamic Finance from Universiti Kebangsaan Malaysia in Bangi – Malaysia.

Abid Mehmood (Ph.D),

He is an Assistant Professor at the Department of Business Studies, Bahria University in Karachi – Pakistan. He obtained his Doctorate in Banking & Finance from University Utara Malaysia in Kedah – Malaysia.

References

Aghion, P., Howitt, P., & Mayer-Foulkes, D. (2005). The effect of financial development on convergence: Theory and evidence. Quarterly Journal of Economics, 120(1). https://doi.org/10.1162/0033553053327515

Ahmad, F., & Bashir, T. (2013). Explanatory power of bank specific variables as determinants of non-performing loans: Evidence form Pakistan banking sector. World Applied Sciences Journal, 22(9), 1220-1231.

Ahmad, U. (2011). Financial reforms and banking efficiency: Case of Pakistan. University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/id/eprint/34220

Ashfaq, K., Younas, Z. I., & Mehmood, B. (2014). Impact of ownership structure on default risk: A case of banking sector of Pakistan. Corporate Ownership and Control, 11(2), 144-152. https://doi.org/10.22495/cocv11i2p11

Aver, B. (2008). An empirical analysis of credit risk factors of the Slovenian banking system. Managing Global Transitions, 6(3), 317-334.

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.

Balgova, M., Nies, M., & Plekhanov, A. (2018). The economic impact of reducing non-performing loans. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3119677

Baltagi, B. H. (Ed.). (2006). Panel data econometrics: Theoretical contributions and empirical applications. Emerald Group Publishing.

Beck, R., Jakubik, P., & Piloiu, A. (2015). Key determinants of non-performing loans: new evidence from a global sample. Open Economies Review, 26, 525-550. https://doi.org/10.1007/s11079-015-9358-8

Bonfim, D. (2009). Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics. Journal of Banking and Finance, 33(2), 281–299. https://doi.org/10.1016/j.jbankfin.2008.08.006

Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253. https://doi.org/10.2307/2297111

Das, A., & Ghosh, S. (2007). Determinants of credit risk in Indian State-owned Banks: An empirical investigation. University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/id/eprint/17301

Demirgüç-Kunt, A., & Detragiache, E. (1998). The determinants of banking crises in developing and developed countries. Staff Papers, 45(1), 81-109. https://doi.org/10.2307/3867330

Derelioğlu, G., & Gürgen, F. (2011). Knowledge discovery using neural approach for SME’s credit risk analysis problem in Turkey. Expert Systems with Applications, 38(8), 9313-9318. https://doi.org/10.1016/j.eswa.2011.01.012

Farhan, M., Sattar, A., Chaudhry, A. H., & Khalil, F. (2012). Economic determinants of non-performing loans: Perception of Pakistani bankers. European journal of business and management, 4(19), 87-99.

Fofack, H. (2005). Nonperforming loans in Sub-Saharan Africa: causal analysis and macroeconomic implications (Vol. 3769). World Bank Publications.

Frees, E. W. (1995). Assessing cross-sectional correlation in panel data. Journal of Econometrics, 69(2), 393–414. https://doi.org/10.1016/0304-4076(94)01658-M

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. https://doi.org/10.1016/j.jfs.2015.08.004

Ghosh, R., Sen, K. K., & Riva, F. (2020). Behavioral determinants of nonperforming loans in Bangladesh. Asian Journal of Accounting Research, 5(2), 327-340. https://doi.org/10.1108/AJAR-03-2020-0018

Grauwe, P. D. (2011). The banking crisis: Causes, consequences and remedies. In Systemic Implications of Transatlantic Regulatory Cooperation and Competition (pp. 23-46). https://doi.org/10.1142/9789812838490_0002

Hamerle, A., Dartsch, A., Jobst, R., & Plank, K. (2011). Integrating macroeconomic risk factors into credit portfolio models. The Journal of Risk Model Validation, 5(2), 3. https://doi.org/10.21314/jrmv.2011.070

Haneef, S., Riaz, T., Ramzan, M., Rana, M. A., Ishaq, H. M., & Karim, Y. (2012). Impact of risk management on non-performing loans and profitability of banking sector of Pakistan. International Journal of Business and Social Science, 3(7), 307-315.

Honohan, P. (2000). Banking System Failures in Developing and Transition Countries: Diagnosis and Prediction. Economic Notes, 29(1). https://doi.org/10.1111/1468-0300.00025

Islam, M. S., & Nishiyama, S. I. (2017). Is this adverse selection or something else to determine the non-performing loans? Dynamic panel evidence from South Asian countries. Kobe University Graduate School of Economics Discussion Paper, (1723).

Jameel, K. (2014). Crucial factors of nonperforming loans evidence from Pakistani banking sector. International Journal of Scientific & Engineering Research, 5(7).

Jones, G. W., Hull, T. H., & Ahlburg, D. (2000). The social and demographic impact of the Southeast Asian Crisis of 1997–99. Journal of the Australian Population Association, 17(1), 39-62. https://doi.org/10.1007/BF03029447

Khan, M. A., Siddique, A., & Sarwar, Z. (2020). Determinants of non-performing loans in the banking sector in developing state. Asian Journal of Accounting Research, 5(1), 135-145. https://doi.org/10.1108/AJAR-10-2019-0080

Konstantakis, K. N., Michaelides, P. G., & Vouldis, A. T. (2016). Non performing loans (NPLs) in a crisis economy: Long-run equilibrium analysis with a real time VEC model for Greece (2001–2015). Physica A: Statistical Mechanics and its Applications, 451, 149-161. https://doi.org/10.1016/j.physa.2015.12.163

Lapavitsas, C., Kaltenbrunner, A., Lindo, D., Michell, J., Painceira, J. P., Pires, E., ... & Teles, N. (2010). Eurozone crisis: beggar thyself and thy neighbour. Journal of Balkan and Near Eastern Studies, 12(4), 321-373. https://doi.org/10.1080/19448953.2010.510012

Llewellyn, D. T. (2002). An analysis of the causes of recent banking crises. The European Journal of Finance, 8(2), 152-175. https://doi.org/10.1080/13518470110071182

Makiyan, S. N. (2003). Role of rate of return on loans in the Islamic banking system of Iran. Managerial Finance, 29(7), 62-69. https://doi.org/10.1108/03074350310768346

McKibbin, W. J., & Stoeckel, A. (2010). The global financial crisis: Causes and consequences. Asian Economic Papers, 9(1), 54-86. https://doi.org/10.1162/asep.2010.9.1.54

Mileris, R. (2015). The impact of economic downturn on banks’ loan portfolio profitability. Engineering Economics, 26(1), 12-22. https://doi.org/10.5755/j01.ee.26.1.6486

Ngugi, R. W. (2001). An empirical analysis of interest rate spread in Kenya (AERC Research Paper 106; African Economic Research Consortium). http://hdl.handle.net/11295/39014

Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge.

Parks, R. W. (1967). Efficient Estimation of a System of Regression Equations when Disturbances are Both Serially and Contemporaneously Correlated. Journal of the American Statistical Association, 62(318). https://doi.org/10.1080/01621459.1967.10482923

Rahman, M. M., Hamid, M. K., & Khan, M. A. M. (2015). Determinants of bank profitability: Empirical evidence from Bangladesh. International Journal of Business and Management, 10(8), 135.

Salina, A. P., Zhang, X., & Hassan, O. A. (2021). An assessment of the financial soundness of the Kazakh banks. Asian Journal of Accounting Research, 6(1), 23-37.https://doi.org/10.1108/AJAR-03-2019-0022

Siddique, A., Khan, M. A., & Khan, Z. (2022). The effect of credit risk management and bank-specific factors on the financial performance of the South Asian commercial banks. Asian Journal of Accounting Research, 7(2), 182-194. https://doi.org/10.1108/AJAR-08-2020-0071

Souza, G. J. D. G., & Feijó, C. A. (2011). Credit risk and macroeconomic interactions: empirical evidence from the Brazilian banking system. Modern Economy, 2(5), 910-929. https://doi.org/10.4236/me.2011.25102

State Bank of Pakistan. (2010). Risk management guidelines for commercial banks & DFIs.

State Bank of Pakistan. (2018). Financial Stability Review 2018. State Bank of Pakistan. https://www.sbp.org.pk/FSR/2018/index.htm

Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2013). Using multivariate statistics (Vol. 6, pp. 497-516). Boston, MA: Pearson.

Tay, L. T. (1991). Methods of optimal risk management. Pitman, New York, 1-34.

Thiagarajan, S., Ayyappan, S., & Ramachandran, A. (2011). Credit risk determinants of public and private sector banks in India. European Journal of Economics, Finance and Administrative Sciences, 34(34), 147-153.

Vazquez, F., Tabak, B. M., & Souto, M. (2012). A macro stress test model of credit risk for the Brazilian banking sector. Journal of Financial Stability, 8(2), 69-83. https://doi.org/10.1016/j.jfs.2011.05.002

Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. The MIT Press.

Zaib, A., Farid, F., & Khan, M. K. (2014). Macroeconomic and bank-specific determinants of non-performing loans in the banking sector in Pakistan. International Journal of Information, Business and Management, 6(2), 53.

Zulkhibri, M., & Abdul Manap, T. A. (2019). Islamic finance, risk-sharing and macroeconomic stability. In Islamic Finance, Risk-Sharing and Macroeconomic Stability. https://doi.org/10.1007/978-3-030-05225-6

Published

2025-01-01

How to Cite

Abid, N. S., Khan, S., Muhammad, A. M., Khan, A., & Mehmood, A. (2025). Analysing Factors Driving Pakistan’s Commercial Banking Credit Risk: An Empirical Investigation. Bulletin of Multidisciplinary Studies, 1(3), 191–202. https://doi.org/10.48112/bms.v1i4.963

Issue

Section

Articles

Similar Articles

<< < 1 2 3 4 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)