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Analysis of Financial Parameters of Private Sector Banks in India through the Application of AHP Technique
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The development of any nation largely depends on its growing economy and sound financial system. In a developing country like India a proficient and effective banking system is considered as the backbone of the economy. The role of private sector banks in strengthening the economy has also increased in last two decades. The present paper aims at identifying some large sized private sector banks in India and rank them on the basis of their capital adequacy, profitability, asset quality and management efficiency through the technique of analytic hierarchy process (AHP). The study identified four large sized private sector banks namely ICICI, HDFC, Axis and Kotak Mahindra bank on the basis of their market capitalization value as on March 31, 2016. The banks were assigned ranking for each selected criteria and hence the overall ranking was done using AHP model. To facilitate the analysis, capital adequacy was taken as the most important criteria to assess the performance of banks followed by profitability, asset quality and management efficiency. ICICI bank was ranked first for capital adequacy and management efficiency and HDFC bank performed best for profitability and asset quality. All these criterion were combined to get the overall ranking of banks and ICICI bank was rated as the best private sector bank followed by HDFC, Kotak Mahindra and Axis bank. It was also observed in the study that Kotak Mahindra bank faced a radical decline in its position in comparison to last years after its merger with ING Vyasya bank.
Keywords
AHP Model, Rank, Capital Adequacy, Profitability, Asset Quality, Management Efficiency.
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- Agarwal, N., Guha, B., Dutta, A., & Bandyopadhyay, G. (2014). Performance measurement of Indian banks using data envelopment analysis. Lecture Notes on Information Theory, 2 (3), 289-294
- ASSOCHAM Eco Pulse study, (2008). Indian Banks and Basel Accord II. Retrieved from http:// www.banknetindia.com.
- Bunruamkaew, K. (2012). How to do AHP analysis in Excel. Retrieved from Graduate School of Life and Environmental Sciences, University of Tsukuba website: http:// www.giswin.geo.tsukuba.ac.jp.
- Chaudhary, G. (2014). Performance comparison of private sector banks with the public sector banks in India. International Journal of Emerging Research in Management & Technology, 3 (2), 5-12.
- Cheng, W.L., & Heng, L. (2001). Analytic hierarchy process: An approach to determine measures for business performance. Measuring Business Excellence, 5 (3), 30 – 37.
- Drake, P.R. (1998). Using the analytical hierarchy process in engineering education. International Journal of Engineering Education, 14 (3), 191-196.
- Gaur., & Mathur. (2016). Application research of analytic hierarchy process in the ranking of private sector banks in India. Economic Challenger, 71 (18).
- Gayval, B. K., & Bajaj, V. H. (2016). A comparative approach of DEA – AHP for performance measurement of Indian banks. International Journal of Science and Research, 5 (1), 1971-1974.
- Gupta, R. (2014). An analysis of Indian public sector banks using Camel approach. IOSR Journal of Business and Management, 16 (1), 94-102.
- Jayaraman, A.R., & Srinivasan, M.R. (2014). Performance evaluation of banks in India – A Shannon-DEA approach. Eurasian Journal of Business and Economics, 7 (13), 51-68.
- Khaitbaeva, S., Al-Subaiey, A., & Enyinda, C, I. (2014, October). An Empirical analysis of attributes influencing bank selection choices by customers in the UAE: The Dubai context. Paper presented at First Middle East Conference on Global Business, Economics, Finance and Banking, http://www.globalbizresearch.org/ Dubai_Conference/pdf/pdf/D4115.pdf.
- Mistry, D.S., & Savani, V. (2015, January). A comparative study of the profitability performance in the banking sector: Evidence from Indian private sector bank. Paper presented at the XVI Annual conference proceedings, http://www.internationalconference.in/xvi_aic/index.htm.
- Pangaria, A. (2004). India in the 1980s and 1990s: A triumph of reforms (Report No. WP/04/43), IMF.
- Pohekar, S.D., & Ramachandran, M. (2004). Application of multi-criteria decision making to sustainable energy planning-A review. Renewable and Sustainable Energy Reviews, 365–381.
- Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1 (1), 83-98.
- Singh, V., & Grover, S. (2013). Evaluation of service quality in banks using AHP: A typical case of Indian banks. International Journal of Business and General Management, 2 (5), 27-48.
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