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The Impact of Non-performing Assets on Bank Performance under Basel Regime - Empirical Evidence from India


Affiliations
1 Master of Business Administration, Department of Management Studies, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
2 Doctoral Scholar, Department of Management Studies, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
3 Associate Professor, Department of Management Studies, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
4 Honorary Professor, Department of Management Studies, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
     

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Banks are the vital financial intermediaries in disbursing credit to deficit units. Their ineffective performance hinders the efficient functioning of an economy. Thus, the present research investigates the effect of non-performing assets (NPAs) on banks’ performance in India. The slowdown in the Indian banking sector has led to subdued growth in the Asian banking sector. The study covers 64 Scheduled Commercial Banks (SCBs) from 2008-2018. The findings suggest that NPAs have been significantly eroding the performance of SCBs in India. It signifies that an increase in NPAs deteriorates banks’ profit margins and increases provisioning requirements. This decline further reduces depositors’ and investors’ confidence in banks. Thus, policymakers need to ensure the efficient management of bad loans. Moreover, the study found the capital adequacy ratio (CAR) and net interest margins (NIM) to be positively related in the case of public and private sector banks. This relationship may be due to further tightening of the capital requirements under Basel III norms.

Keywords

Indian Banks, Non-performing Assets, Financial Performance, Capital Adequacy, Basel Norms
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  • Baltagi, B. H. (2013). Econometric analysis of panel data (5th ed.). Chichester: John Wiley & Sons.

  • Bardhan, S., & Mukherjee, V. (2016). Bank-specific determinants of nonperforming assets of Indian banks. International Economics and Economic Policy, 13(3), 483-498.

  • Bawa, J. K., Goyal, V., Mitra, S. K., & Basu, S. (2019). An analysis of NPAs of Indian banks: Using a comprehensive framework of 31 financial ratios. IIMB Management Review, 31(1), 51-62. doi:https://doi.org/10.1016/j.iimb.2018.08.004

  • BCBS. (2001). The new basel capital accord: An explanatory note. Switzerland: Bank for International Settlements.

  • BCBS. (2004, June). International convergence of capital measurement and capital standards a revised framework. Bank for International Settlements. Switzerland: Bank for International Settlements.

  • Berger, A. N., & Udell, G. F. (2004). The institutional memory hypothesisand the procyclicality of bank lending behavior. Journal of Financial Intermediation, 13(4), 458-495. doi:10.1016/j.jfi.2004.06.006

  • Berger, A. N., & Young, R. D. (1997). Problem loans and cost efficiency in commercial banks. Journal of Banking & Finance, 21(6), 849-870. doi:10.1016/S0378-4266(97)00003-4.

  • Bhatia, A., Mahajan, P., & Chander, S. (2012). Determinants of profitability of private sector banks in India. Journal of Commerce and Accounting Research, 1(2), 14-22.

  • Bolat, S., & Isik, O. (2016). Determinants of non-performing loans of deposit banks in Turkey. Journal of Business, Economics and Finance, 5(4), 341-350.

  • Borio, C., Furfine, C., & Lowe, P. (2001). Procyclicality of the financial system and financial stability: Issues and policy options. In B. F. Settlements, Marrying the Macro- and Micro-Prudential Dimensions of Financial Stability (vol. 01, pp. 1-57). Switzerland: Bank for International Settlements. Retrieved from https://econpapers.repec.org/bookchap/bisbisbpc/01-01.htm

  • Chavan, P., & Gambacorta, L. (2016). Bank lending and loan quality: The case of India. BIS Working Papers, 1-24.

  • Clair, R. T. (1992). Loan growth and loan quality: Some preliminary evidence from Texas banks. Economic and Financial Policy Review, q(iii), 9-22. Retrieved from https://ideas.repec.org/a/fip/fedder/y1992iqiiip9-22.html

  • Cos, P. H. (2019, October 01). Where next for the basel committee? Retrieved from The Banker Magazine: https://www.thebanker.com/Comment-Profiles/Viewpoint/Pablo-Hernandez-de-Cos-where-next-for-the-Basel-Committee/(language)/eng-GB

  • Cranston, S. R., Avgouleas, E., Zwieten, K. V., Hare, C., & Sante, T. V. (2018). Principles of banking law (3rd ed.). New York,USA: Oxford University Press.

  • Das, R. C. (2019). Causal links among banks’ investments on government securities, GDP and different heads of central plan expenditures in India. International Journal of Asian Business and Information Management (IJABIM), 10(1), 78-93.

  • Das, S. (2019). Indian banking sector: Current status and the way forward. Delivered at the National Institute of Bank Management, Pune at the 15th Annual Convocation of Post Graduate Diploma in Management. Pune: Reserve Bank of India. Retrieved from https://www.rbi.org.in/Scripts/BS_SpeechesView.aspx?Id=1075

  • Das, S. S. (2020). Banking landscape in the 21st century. Mumbai: Reserve Bank of India.

  • Dhar, S., & Bakshi, A. (2015). Determinants of loan losses of Indian banks: A panel study. Journal of Asia Business Studies, 9(1), 17-32.

  • Ekinci, R., & Poyraz, G. (2019). The effect of credit risk on financial performance of deposit banks in Turkey. Procedia Computer Science, 158(2019), 979-987.

  • Foos, D., Norden, L., & Weber, M. (2010). Loan growth and riskiness of banks. Journal of Banking & Finance, 34(12), 2929-2940.

  • Geng, Z., & Zhai, X. (2013). Monetary policy instruments and bank risks in China. International Journal of Asian Business and Information Management (IJABIM), 4(2), 57-71.

  • Ghosh, A. (2015). Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states. Journal of Financial Stability, 20(C), 93-104.

  • Goel, P. (2018). Cyclicality of non-performing assets: Evidence from Indian banking industry. Journal of Commerce and Accounting Research, 7(3), 13-19.

  • Hess, K., Grimes, A., & Holmes, M. (2009). Credit losses in Australasian banking. Economic Record, 85(270), 331-343.

  • Kasturi, R. (2019). Credit allocation by Indian commercial banks. Journal of Commerce and Accounting Research, 8(1), 1-7.

  • Keeton, W. R. (1999). Does faster loan growth lead to higher loan losses? Economic Review, 84(QII) 57-75. Retrieved from https://ideas.repec.org/a/fip/fedker/y1999iqiip57-75nv.84no.2.html

  • Laeven, L., & Majnoni, G. (2003). Loan loss provisioning and economic slowdowns: Too much, too late? Journal of Financial Intermediation, 12(2), 178-197. doi:10.1016/S1042-9573(03)00016-0

  • Makri, V., Athanasios, T., & Bellas, A. (2014). Determinants of non-performing loans: The case of Eurozone. Panoeconomicus, 61(2), 193-206.

  • Malim, N. A., & Masron, T. A. (2018). What drives bank margins during and post-crisis? A comparison between islamic and conventional banks. Asian Academy of Management Journal of Accounting and Finance, 14(1), 107-126.

  • McKinsey & Company. (2019). Bracing for consolidation in Asia-Pacific banking: The quest for scale. Chicago: McKinsey & Company.

  • Pandey, S. J., Tilak, V. G., & Deokar, B. (2013). Non-performing assets of Indian banks: Phases and Dimensions. Economic and Political Weekly, 48(24), 91-93. Retrieved from https://www.jstor.org/stable/23527401

  • Pathak, B. V. (2010). The Indian financial system: Markets, institutions and services (3rd ed.). Delhi: Pearson Education India.

  • RBI. (2014). Master circular - Prudential norms on income recognition, asset classification and provisioning pertaining to advances. Mumbai: Reserve Bank of India. Retrieved from https://rbidocs.rbi.org.in/rdocs/notification/PDFs/74MIR010714FL.pdf

  • RBI. (2019). Report of the internal working group to review agricultural credit. Mumbai: Reserve Bank of India. Retrieved from https://www.rbi.org.in/Scripts/PublicationReportDetails.aspx?UrlPage=&ID=942

  • RBI. (2019). Report on trend and progress of banking in India 2018-19. Mumbai: Reserve Bank of India.

  • Reserve Bank of India. (2018). Frequently asked questions, Reserve Bank of India. Retrieved April 3, 2020, from https://m.rbi.org.in/Scripts/FAQView.aspx?Id=87

  • Rizvi, N. U., Kashiramka, S., & Singh, S. (2018). Basel I to Basel III: Impact of credit risk and interest rate risk of banks in India. Journal of Emerging Market Finance, 17(1_suppl), S83-S111. doi:10.1177/0972652717751541

  • Salas, V., & Saurina, J. (2002). Credit risk in two institutional regimes: Spanish commercial and savings banks. Journal of Financial Services Research, 22(3), 203-224.

  • Salike, N., & Ao, B. (2018). Determinants of bank’s profitability: Role of poor asset quality in Asia. China Finance Review, 8(2), 216-231.

  • Seo, J.-Y. (2016). Pro-cyclicality of small and medium enterprise (SME) loans according to financing type based on purpose: Evidence from Korean banks. Asian Academy of Management Journal of Accounting and Finance, 12(2), 23-36.

  • Sinkey, J. F., & Greenawalt, M. B. (1991). Loan-loss experience and risk-taking behavior at large commercial banks. Journal of Financial Services Research, 5(1), 43-59.

  • Sufian, F., & Chong, R. R. (2008). Determinants of bank profitability in a developing economy: Empirical evidence from the Philippines. Asian Academy of Management Journal of Accounting and Finance, 4(2), 91-112.

  • 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(2011), 147-154.

  • Tripathi, M., Kashiramka, S., & Jain, P. K. (2018). Flexibility in measuring corporate financial performance, EVA versus conventional earnings measures: Evidences from India and China. Global Journal of Flexible Systems Management, 19(2), 123-138.


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  • The Impact of Non-performing Assets on Bank Performance under Basel Regime - Empirical Evidence from India

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Authors

Prakhar Agarwal
Master of Business Administration, Department of Management Studies, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
Dhulika Arora
Doctoral Scholar, Department of Management Studies, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
Smita Kashiramka
Associate Professor, Department of Management Studies, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
P. K. Jain
Honorary Professor, Department of Management Studies, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India

Abstract


Banks are the vital financial intermediaries in disbursing credit to deficit units. Their ineffective performance hinders the efficient functioning of an economy. Thus, the present research investigates the effect of non-performing assets (NPAs) on banks’ performance in India. The slowdown in the Indian banking sector has led to subdued growth in the Asian banking sector. The study covers 64 Scheduled Commercial Banks (SCBs) from 2008-2018. The findings suggest that NPAs have been significantly eroding the performance of SCBs in India. It signifies that an increase in NPAs deteriorates banks’ profit margins and increases provisioning requirements. This decline further reduces depositors’ and investors’ confidence in banks. Thus, policymakers need to ensure the efficient management of bad loans. Moreover, the study found the capital adequacy ratio (CAR) and net interest margins (NIM) to be positively related in the case of public and private sector banks. This relationship may be due to further tightening of the capital requirements under Basel III norms.

Keywords


Indian Banks, Non-performing Assets, Financial Performance, Capital Adequacy, Basel Norms

References