M. Bhuvana ¹, P. G. Thirumagal ¹, S. Vasantha ¹

Affiliations
1 School of Management Studies, Vels University, Pallavararam, Chennai – 600043, Tamil Nadu, IN

Abstract

Background/Objectives: Big Data are said to be an extremely huge data set that has to be analyzed, handled, managed and validated through a typical data management tools. Banks are one of the financial services industries that handles enormous amount of transaction data that has been managed, scrutinized and utilized for the benefit of banks as well as the customers. Hence this research paper analyzed how big data are managed in Indian commercial banks, the factors that have a greater impact on banks in handling big data was studied and examined how analytics creates value for the business. Method/Statistical Analysis: Secondary data was collected from various resources such as articles, journals and websites. The factors such as big data management, risk management, fraud detection, customer segmentation and business value of banking industries are studied. A Conceptual framework has been developed to highlight the factors that have a higher impact on big data management in banking industry. Findings: From the study it is analyzed that big data analytics has a driven a prominent change in the business value of banks and the factors having an influence on business value is highlighted. Application/Improvements: Banks need to revamp their software architecture for managing the big data and adopt the new technologies which in turn increases the business value of the organization.

Keywords

Big Data Management, Business Value, Commercial Banks,Customer Segmentation, Fraud Detection, Risk Management.

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P. G. Thirumagal ¹, S. Vasantha ¹

Affiliations
1 School of Management Studies, Vels University, P. V. Vaithiyalingam Road, Pallavaram, Chennai - 600043, Tamil Nadu, IN

Abstract

Background/Objectives: One of the important and complex decisions in the area of finance is dividend decisions. The main purpose of this study is to know the shareholders wealth between the companies who pay dividend and companies not paying dividend in Indian pharmaceutical industry. Method/Statistical Analysis: Based on Market Capitalization the top Ten dividend paying pharmaceutical companies and ten non-dividend paying companies listed in NSE has been selected. Data were collected for 15 years from 2001 to 2015 from the companies' reports and Prowess database. Tools Mean and Independent t statistics were used for the study. Findings: The average market to book value of equity of companies paying dividend is more than the non-dividend paying companies and through independent t test the results were statistically verified. Applications/Improvement: Based on the study the investors can opt for dividend paying companies than the non-dividend paying companies for investment. This would increase their wealth in the long term. The study can be extended to different industry with long years of data.

Keywords

Dividend Paying Companies, Non-dividend Paying Companies, Shareholders Wealth, Market Capitalization.

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P. G. Thirumagal ¹, S. Vasantha ¹

Affiliations
1 School of Management Studies, Vels University, 200 Feet Road, Velan Nagar, P.V. Vaithiyalingam Road, Pallavaram, Chennai - 600043, Tamil Nadu, IN

Abstract

Background/Objectives: This topic on the impact of dividend policy on shareholders wealth of the companies is one of the most researched topics in finance. The main objective of this paper is to find out the dividend policy’s impact on shareholders wealth. Method/Statistical Analysis: The ten companies listed in NIFTY PHARMA of NSE have been considered for the study. Fifteen years data have been used (2001 to 2015). With the help of previous literature, MPS (Market Price Per Share) used to measure Shareholders wealth and the predictor variables are Price Earnings Ratio (PER), Dividend Per Share (DPS), Earnings Per Share (EPS), Total Assets (TA) and Cash and Bank Balance by Total Assets (CABBBYTA) were used by representing Dividend, Risk, Earnings, Firm Size and Liquidity of the companies. The Descriptive statistics and Normality test (Jarque - Bera) test found that the data were normally distributed. The conditions for regression like viz., Breusch-Pagan-Godfrey Heteroskedasticity Test, Breusch-Godfrey Serial Correlation LM Test, VIF for Multicollinearity, Augmented Dickey-Fuller test for unit ischolar_main were used and found that the data were homogenous, free from auto correlation, multicollinearity and unit ischolar_main. Eviews 7 Econometrics software package was used. Findings: Regression results show that the dividend, risk and liquidity of the companies impact shareholders wealth. Size and Earnings of the companies were insignificant with the shareholders wealth.

Keywords

Dividend, Market Capitalisation, Profitability, Shareholders Wealth

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