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Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
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Original Article

Open Access Original Article

Relative Performance Analysis of Scheduled Commercial Banks in India : A CAMEL Model Approach

Shilpa Sahota1,  Babli Dhiman2

1 Senior Research Scholar, Mittal School of Business, Lovely Professional University, Phagwara, Punjab

2 Associate Professor, Mittal School of Business, Lovely Professional University, Phagwara, Punjab

Volume 11
Issue 5
Pages 40–57
Year 2017
Received: Feb. 24, 2016 Accepted: Feb. 8, 2017 Published: May 1, 2017
Abstract

For sustaining a healthy financial system, it is mandatory to analyze banks frequently for recognition of their strengths and removal of potential vulnerabilities. Banks act as fuel for smooth and efficient functioning of a nation's financial system. The purpose of the present study was to evaluate and compare the financial, operational, and managerial health of selected largest scheduled commercial banks in India with different ownership structure, such as public (State Bank of India), private (ICICI Bank), and foreign banks (Standard Chartered Bank). To achieve this objective, panel data was collected from authentic websites for the period from 2001-2002 to 2010-2011 for banks judged with globally accepted ratio based CAMEL model parameters and average of sub-parameters. In addition to this, one-way ANOVA (parametric test) was applied to statistically measure whether mean variance existed among these banks' ratios and performance. The findings revealed that these banks performed satisfactorily overall after the adoption of reforms. However, SBI was positioned at the top followed by SCB and ICICI Bank in India. Surprisingly, the study observed that there was no difference statistically among these banks in terms of ratios and performance of sub-parameters namely, debt/equity ratio, gross non-performing assets/total assets, income interest/total assets, and liquid assets to total deposits during the research. The study concluded that there was stiff competition among these banks and significantly recommended for proposed banking structure in India. In addition to this, SCB was found to be significantly more efficient during the research period in terms of doing profitable banking business and converting deposits into higher earning advances followed by ICICI Bank and State Bank of India (SBI).

Keywords CAMEL Model Scheduled Commercial Banks Relative Performance Post-Liberalization Reserve Bank of India G2 G20 G21 G28 G210
How to Cite

Shilpa Sahota, Babli Dhiman (2017). Relative Performance Analysis of Scheduled Commercial Banks in India : A CAMEL Model Approach. Indian Journal of Finance, 11(5), 40–57. https://doi.org/10.17010/ijf/2017/v11i5/114251

References
  1. Arora, M., & Singh, S. (2015). An evaluation of the non-performing assets of public and private sector banks under the SHG bank linkage programme. Indian Journal of Finance, 9(6), 41-50. doi: 10.17010/ijf/2015/v9i6/71161
  2. Athanasoglou, P. P., Brissimis, S. N., & Delis, M. D. (2005). Bank-specific, industry-specific and macroeconomic determinants of bank profitability. Journal of International Financial Markets, Institutions and Money, 18(2), 121-136.
  3. Chen, S. H., & Liao, C.- C. (2011). Are foreign banks more profitable than domestic banks? Home and host countries effects of banking market structure, governance, and supervision. Journal of Banking and Finance, 35 (4), 819 - 839. doi: <a href=http://dx.doi.org/10.1016/j.jbankfin.2010.11.006 target="_blank">http://dx.doi.org/10.1016/j.jbankfin.2010.11.006</a>
  4. Claessens, S., Demirgüç-Kunt, A., & Huizinga, H. (2001). How does foreign entry affect domestic banking markets? Journal of Banking & Finance, 25 (5), 891-911.
  5. Cole, R. A., & White, L. J. (2012). Déjà vu all over again: The causes of U.S. commercial bank failures this time around. Journal of Financial Services Research, 42 (1-2), 5-29. Doi: 10.1007/S10693-011-0116-9.
  6. Dang, U. (2011). The CAMEL rating system in banking supervision. A case study. Retrieved from <a href=https://www.theseus.fi/bitstream/handle/10024/38344/Dang_Uyen.pdf?...1 target="_blank">https://www.theseus.fi/bitstream/handle/10024/38344/Dang_Uyen.pdf?...1</a>
  7. Demirgüç-Kunt, A., & Huizinga, H. (1999). Determinants of commercial bank interest margins and profitability: some international evidence. The World Bank Economic Review, 13 (2), 379 - 408.
  8. Devanadhen, K. (2013). Performance evaluation of large-size commercial banks in India. Indian Journal of Finance, 7 (1), 5-16.
  9. Fredrick, O. (2012). The impact of credit risk management on financial performance of commercial banks in Kenya. DBA Africa Management Review, 3 (1), 22 - 37.
  10. Gasbarro, D., Sadguna, I. G. M., & Zumwalt, J. K. (2002). The changing relationship between CAMEL ratings and bank soundness during the Indonesian banking crisis. Review of Quantitative Finance and Accounting, 19 (3), 247 - 260. doi: 10.1023/A:1020724907031
  11. Gilbert, R. A., Meyer, A. P., & Vaughan, M. D. (2000). The role of a CAMEL downgrade model in bank surveillance (No.2000-021). Retrieved from <a href=https://pdfs.semanticscholar.org/2339/ebd62c9bd9598a034ee0556427f6544996e6.pdf target="_blank">https://pdfs.semanticscholar.org/2339/ebd62c9bd9598a034ee0556427f6544996e6.pdf</a>
  12. Ibrahim, M. S. & Thangavelu, R. (2014). A study on the composition of non-performing assets (NPAs) of scheduled commercial banks in India. Journal of Finance and Bank Management, 2(1), 31 - 48.
  13. Jeon, B. N., Olivero, M. P., & Wu, J. (2011). Do foreign banks increase competition? Evidence from emerging Asian and Latin American banking markets. Journal of Banking & Finance, 35 (4), 856 - 875.
  14. Jha, S., & Hui, X. (2012). A comparison of financial performance of commercial banks : A case study of Nepal. African Journal of Business Management, 6 (25), 7601-7611. DOI: 10.5897/AJBM11.3073
  15. Kumar, M. A., Harsha, G. S., Anand, S. & Dhruva, N. R. (2012). Analyzing soundness in Indian banking: A CAMEL approach. Research Journal of Management Sciences, 1 (3), 9 -14.
  16. Maheshwari, N., & Aggarwal, N. (2013). Evaluating financial performance of SBI through financial ratios. Indian Journal of Finance, 7(10), 34 - 44.
  17. Makkar, A., & Singh, S. (2013). Analysis of the financial performance of Indian commercial banks: A comparative study. Indian Journal of Finance, 7 (5), 41- 49.
  18. Ongore, V. O., & Kusa, G. B. (2013). Determinants of financial performance of commercial banks in Kenya. International Journal of Economics and Financial Issues, 3 (1), 237- 252.
  19. Pasiouras, F., & Kosmidou, K. (2007). Factors influencing the profitability of domestic and foreign commercial banks in the European Union. Research in International Business and Finance, 21 (2), 222 - 237. DOI: 10.1016/j.ribaf.2006.03.007.
  20. Prasad, K. V. N., & Ravinder, G. (2012). A camel model analysis of nationalized banks in India. International Journal of Trade and Commerce, 1(1), 23 - 33.
  21. Reserve Bank of India. (2001-2011a). A profile of banks. Retrieved from <a href=https://www.rbi.org.in/scripts/AnnualPublications.aspx?head=A%20Profile%20of%20Banks target="_blank">https://www.rbi.org.in/scripts/AnnualPublications.aspx?head=A%20Profile%20of%20Banks</a>
  22. Reserve Bank of India. (2001-2011b). Statistical tables relating to banks. Retrieved from: <a href=https://www.rbi.org.in/scripts/AnnualPublications.aspx?head=Statistical%20Tables%20ofRelating%ofto%20Banks target="_blank">https://www.rbi.org.in/scripts/AnnualPublications.aspx?head=Statistical%20Tables%20ofRelating%ofto%20Banks</a>
  23. Reserve Bank of India. (2002). Expenditure pattern and IT initiatives of banks. Monthly Bulletin December, 849 - 867.
  24. Roman, A., & Şargu, A. C. (2013). Analysing the financial soundness of the commercial banks in Romania : An approach based on the camels framework. Procedia Economics and Finance, 6, 703 -712.
  25. Sangmi, M., & Nazir, T. (2010). Analyzing financial performance of commercial banks in India: Application of CAMEL model. Pakistan Journal of Commerce & Social Science, 4 (1), 40 - 55.
  26. Sensarma, R. (2006). Are foreign banks always the best? Comparison of state-owned, private and foreign banks in India. Economic Modelling, 23 (4), 717 - 735. doi: 10.1016/j.econmod.2006.04.002
  27. Shukla, S. (2016). Performance of the Indian banking Industry: A comparison of public and private sector banks. Indian Journal of Finance, 10 (1), 41 - 55. doi: 10.17010/ijf/2016/v10i1/85843
  28. Singh, D., & Kohli, G. (2006). Evaluation of private sector banks in India: A SWOT analysis. Journal of Management Research, 6 (2), 84 - 102.
  29. To, H. M. & Tripe, D. (2002). Factors influencing the performance of foreign-owned banks in New Zealand. Journal of International Financial Markets, Institutions and Money, 12 (4 -5), 341- 357.
  30. Uppal, R. K., & Khanna, P. (2015). Factors affecting NPAs of scheduled commercial banks: An empirical study based in Punjab. Indian Journal of Finance, 9 (2), 7- 16. doi: : 10.17010/ijf/2015/v9i2/71517
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