Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Evaluating the Decisive Factors of Profitability of the Banking Sector Using a Panel Regression Model


Affiliations
1 Department of Accounting, Faculty of Business Administration, Al Baha University, Saudi Arabia
     

   Subscribe/Renew Journal


The aim of this paper is to compute various measures to examine the determinants of financial profitability for the listed Indian public sector banks. This paper will also identify the relationship between the return on equity (ROE) and other independent variables of the Indian banking sector, including all public sector banks, over the past 11 years, starting from April 1, 2009, to March 31, 2020. Therefore, a sample of 12 registered public banking companies and a total of 120 balanced observations are selected for the purpose of analysis. The author has used financial profitability as a dependent variable, represented by the return on equity (ROE), and return on assets (ROA), financial leverage (FL), and credit deposit ratio (CDR) as independent variables. In this study, both fixed effects and the random effects model have been used to look at panel data regression. The author also confirmed both panel techniques with Hausman test-correlated random effects, a widely used procedure for selecting a panel effect. For testing series stationarity, the author used the PP–Fisher 2; ADF–Fisher 2; Levin, Lin, and Chu t; Im, Pesaran, and Shin W-stat; and Breitung t-stat. The results show that return on assets (ROA) and financial leverage (FL) increased the effectiveness of banks in India, while the credit deposit ratio (CDR) reduced the profitability of all public sector banks in India. Only two variables, FL and ROA, were found significant under public sector banks, while taking ROE as the dependent variable. On the other hand, the overall PSB data showed that the CDR reduced the profitability of total PSBs in India. The conclusion of this study will help policymakers, financial managers, and investors in making investment decisions.

Keywords

Return on Equity, Financial Leverage, Return on Assets, Credit Deposit Ratio, Fixed Effects Panel, Public Sector Banks, Radom Effect Panel.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Adelopo, I., Lloydking, R., & Tauringana, V. (2018). Determinants of bank profitability before, during, and after the financial crisis. International Journal of Managerial Finance, 14(4), 378-398. doi:https://doi. org/10.1108/IJMF-07-2017-0148
  • Agarwal, P., Arora, D., Kashiramka, S., & Jain, P. K. (2021). The impact of non-performing assets on bank performance under Basel regime – Empirical evidence from India. Journal of Commerce & Accounting Research, 10(3), 36-45.
  • Ahmad, A. (2017). Accounting of post merger financial performance of Punjab National Bank (PNB ) and Nedungadi Bank. International Journal of Mechanical Engineering and Technology, 8(11), 1043-1062.
  • Ahmad, A., & Ikram, S. (2012). Testing the Efficiency of indian stock market vis-à-vis merger and acquisitions – A study of Indian banking sector. International Journal of Latest Trends in Finance and Economic Sciences, 2(2), 155-168.
  • Ahmad Khan, A., & Zia, A. (2019). Market volatility of banking stock return vis-à-vis banks merger: An application of GARCH model. Management Science Letters, 9(5), 629- 638. doi:https://doi.org/10.5267/j.msl.2019.2.008
  • Alarussi, A. S., & Alhaderi, S. M. (2018). Factors affecting profitability in Malaysia. Journal of Economic Studies, 45(3), 442-458. doi:https://doi.org/10.1108/ JES-05-2017-0124
  • Ali, L., & Dhiman, S. (2019). The impact of credit risk management on profitability of public sector commercial banks in India. Journal of Commerce & Accounting Research, 8(2), 86.
  • Almaqtari, F. A., Al-Homaidi, E. A., Tabash, M. I., & Farhan, N. H. (2019). The determinants of profitability of Indian commercial banks: A panel data approach. International Journal of Finance and Economics, 24(1), 168-185. doi:https://doi.org/10.1002/ijfe.1655.
  • Bansal, R., Singh, A., Kumar, S., & Gupta, R. (2018). Evaluating factors of profitability for Indian banking sector: A panel regression. Asian Journal of Accounting Research, 3(2), 236-254. doi:https://doi.org/10.1108/ ajar-08-2018-0026.
  • Bapat, D. (2018). Profitability drivers for Indian banks: A dynamic panel data analysis. Eurasian Business Review, 8(4), 437-451. doi:https://doi.org/10.1007/ s40821-017-0096-2
  • Barua, R., Roy, M., & Raychaudhuri, A. (2016). Structure, conduct and performance analysis of Indian commercial banks. South Asian Journal of Macroeconomics and Public Finance, 5(2), 157-185. doi:https://doi. org/10.1177/2277978716671042
  • Biswas, S., & Bhattacharya, M. (2020). Financial performance analysis of new generation private sector banks: A camel. Journal of Commerce & Accounting Research, 9(4), 37-44.
  • Brahmaiah, B. (2018). Factors influencing profitability of banks in India. Theoretical Economics Letters, 3046- 3061. doi:https://doi.org/10.4236/tel.2018.814189
  • Chaudhary, K., & Sharma, M. (2011). Performance of Indian public sector banks and private sector banks: A comparative study. International Journal of Innovation, Management and Technology, 2(3).
  • Dougherty, C. (2011). Introduction to econometrics (4th ed.). Oxford Unversity Press. United States.
  • Goddard, J., Molyneux, P., & Wilson, J. O. S. (2004). The profitability of European banks: A cross-sectional and dynamic panel analysis. Manchester School, 72(3), 363-381. doi:https://doi.org/10.1111/j.1467-9957.2004.00397.x
  • Damodar, N. G. (2004). Basic econometrics. McGraw-Hill.
  • Gul, S. I. F. Z. K. (2011). Factors affecting bank profitability in Pakistan. Romanian Economic Journal, 39, 61-87.
  • Gupta, P., Kochhar, K., & Panth, S. (2011). Bank ownership and the effects of financial liberalization: Evidence from India. IMF Working Papers. doi:https://doi. org/10.5089/9781455218929.001
  • Hassan, M., & Adam, M. (2014). Evaluating the financial perform ance of banks using financial ratios - A case study of Erbil bank for investment and finance. European Journal of Accounting Auditing and Finance Research, 2(6), 162-177.
  • Jin, Y. J., & Hutagaol-Martowidjojo, Y. (2019). Determinants of bank competitiveness in digital era a case study of South Korea. Journal of Banking and Financial Economics, 2(6), 39-55. doi:https://doi.org/10.7172/2353-6845. jbfe.2019.2.3
  • Kaur, M., & Kaur, M. (2021). Relationship between bankspecific attributes and web-based disclosures – The case of India. Journal of Commerce & Accounting Research, 10(2), 53-63.
  • Kedia, N. (2016). Determinants of profitability of Indian public sector banks. Ira-International Journal of Management & Social Sciences, 2(3), 1-16.
  • Khan, A. A. (2011). Merger and Acquisitions (M & As ) in the Indian banking sector in post liberalization regime. International Journal of Contemporary Business Studies, 2(11), 31-45.
  • Khan, A. A., & Javed, S. (2017). A study of volatility behaviour of S & P BSE BANKEX Return in India: A pragmatic approach using GARCH model. International Journal of Advanced and Applied Sciences, 4(4), 127-132.
  • Lartey, V. C., Antwi, S., & Boadi, E. K. (2013). The relationship between liquidity and profitability of listed banks in Ghana. International Journal of Business and Social Science, 4(3), 48-56.
  • Mittal, M. (2007). Profitability and productivity in Indian banks: A comparative study. AIMS International, 1969.
  • Ganesh, K. V., & Paramasivan, C. (2013). Operational efficiency of financial inclusion in Puducherry. Selp Journal of Social Science, 4(17).
  • Miyan, M. (2017). A comparative statistical approach towards NPA of PSU and private sector banks in India. International Journal of Advanced Research in Computer Science, 8(1), 46-53.
  • Olalekan, A., & Adeyinka, S. (2013). Capital adequacy and banks’ profitability: An empirical evidence from Nigeria. American International Journal of contemporary Research, 3(10), 87-93.
  • Ong, T., & Teh, B. (2013). Factors affecting the profitability of Malaysian commercial banks. African Journal of Business Management, 7(8), 649-660. doi:https://doi. org/10.5897/AJBM11.548
  • Paramasivan, C. (2013). Economic empowerment of women through SHG in Kolli Hills. Research Explorer, 2(4), 4-7.
  • Petria, N., Capraru, B., & Ihnatov, I. (2015). Determinants of banks’ profitability: Evidence from EU 27 banking systems. In Procedia Economics and Finance (vol. 20, pp. 518-524). doi:https://doi.org/10.1016/ s2212-5671(15)00104-5
  • Prasad, K. V. N., & Chari, A. A. (2011). Financial performance of public and private sector banks: An application of post-hoc Tukey HSD test. Indian Journal of Commerce & Management Studies, 2(5).
  • Rao, Y., Hadri, K., & Bu, R. (2010). Testing for stationarity in heterogeneous panel data in the case of model misspecification. Bulletin of Economic Research, 62(3), 209-225. doi:https://doi.org/10.1111/j.1467-8586.2009.00327.x
  • Varshney, N. (2016). A study on the comparison of financial performance of public sector banks with special reference to State Bank of India and Punjab. Voice of Research, 5(3).

Abstract Views: 346

PDF Views: 0




  • Evaluating the Decisive Factors of Profitability of the Banking Sector Using a Panel Regression Model

Abstract Views: 346  |  PDF Views: 0

Authors

Azeem Ahmad Khan
Department of Accounting, Faculty of Business Administration, Al Baha University, Saudi Arabia

Abstract


The aim of this paper is to compute various measures to examine the determinants of financial profitability for the listed Indian public sector banks. This paper will also identify the relationship between the return on equity (ROE) and other independent variables of the Indian banking sector, including all public sector banks, over the past 11 years, starting from April 1, 2009, to March 31, 2020. Therefore, a sample of 12 registered public banking companies and a total of 120 balanced observations are selected for the purpose of analysis. The author has used financial profitability as a dependent variable, represented by the return on equity (ROE), and return on assets (ROA), financial leverage (FL), and credit deposit ratio (CDR) as independent variables. In this study, both fixed effects and the random effects model have been used to look at panel data regression. The author also confirmed both panel techniques with Hausman test-correlated random effects, a widely used procedure for selecting a panel effect. For testing series stationarity, the author used the PP–Fisher 2; ADF–Fisher 2; Levin, Lin, and Chu t; Im, Pesaran, and Shin W-stat; and Breitung t-stat. The results show that return on assets (ROA) and financial leverage (FL) increased the effectiveness of banks in India, while the credit deposit ratio (CDR) reduced the profitability of all public sector banks in India. Only two variables, FL and ROA, were found significant under public sector banks, while taking ROE as the dependent variable. On the other hand, the overall PSB data showed that the CDR reduced the profitability of total PSBs in India. The conclusion of this study will help policymakers, financial managers, and investors in making investment decisions.

Keywords


Return on Equity, Financial Leverage, Return on Assets, Credit Deposit Ratio, Fixed Effects Panel, Public Sector Banks, Radom Effect Panel.

References