Asian Journal of Multidimensional Research (AJMR)
Year : 2018, Volume : 7, Issue : 8
First page : ( 234) Last page : ( 242)
Online ISSN : 2278-4853.

An assessment of productivity performance analysis of scheduled commercial banks in India

Dr. Magesh V.

Associate Professor, PG Department of Commerce, Post Graduate Government College, Chandigarh, India. Email id: maheshlogic@yahoo.co.in

Online published on 17 September, 2018.

Abstract

Due to increasing competition between the banks and reducing profit margins, it has become imperative for bank management to maximize return on investment. One of the key areas were bank management can fine tune is personnel productivity. Analyzing and understanding productivity of employees can help bank management to tweak the policies to improve productivity, which will consequently help in improving the profitability of bank. This study analyzed 72 Scheduled Commercial banks‘ Business per Employee and Profit per Employee data from 2010–11 to 2015–2016. All Scheduled Banks in India which had relevant data for years 2010–11 to 2015–2016 were assessed. Least Square Method showed that the Profit per Employee is = 0.0210771043242* Business per Employee is-0.791614618393. To better predict the Business per Employee and Profit per Employee of scheduled commercial banks, time series analysis was carried out. The Profit per Employee was found to follow Autoregressive-Moving-Average Model (ARMA) model: (1, 1) and the Business per Employee was found to follow ARMA model: (4, 4)

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Keywords

Bank Productivity Analysis, Time Series Analysis, Arma.

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