Asian Journal of Management
Year : 2018, Volume : 9, Issue : 1
First page : ( 327) Last page : ( 332)
Print ISSN : 0976-495X. Online ISSN : 2321-5763.
Article DOI : 10.5958/2321-5763.2018.00050.1

Private Sector Bank Modeling-A Comparative Modeling Approach Involving Panel Data Regression

Ms. Kumari Nisha*

Christ University, Bengaluru-560029, India

*Corresponding Author E-mail: nisha.kumari@mba.christuniversity.in

Online published on 2 June, 2018.

Abstract

The banks are the important component of the economy and play a vital role in activating and sustaining economic growth but there is downturn in the economy which led to a rise in bad loans or non-performing assets (NPAs), poor capital adequacy ratio, and unhedged forex exposure. ‘Earnings per Share’ (EPS) is a pivotal parameter which will impact the performance of the bank's share in the stock exchange.so in this study out of 11 banks of S and P BSE Sensex, the private banks have taken into consideration that is HDFC, ICICI and AXIS bank. EPS is accurate measureof banks profitability and by determining it will help the bank to attract FDI and FPI which is two important paths for investors that will increase the fund, capital inflow in the economy to maintain liquidity which will enhance the growth of economy. To determine the output, PDR (panel data regression) method which is an econometric method (Fixed effect) has been used to prove that EPS is corrective and predictive measure to construct a robust and accurate model. Apart from that 11 other significant variables have been taken to compose the predictive model.

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Keywords

Private Sector Bank, Panel Data Regression, Earning per share, S and P, BSE Sensex.

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