SAKTHIVELU & Dr. R. AZHAGAIAH Ph.D Research Scholar Ph.D Supervisor Department of Commerce Kanchi Mamunivar Centre for Postgraduate Studies (Autonomous – Term-II) (Autonomous Centre with Potential for Excellence by UGC – Phase-II) [Re-accredited with “A” Grade by NAAC] (Government of Puducherry) Puducherry-605 008, India |
Market value added(MVA) is the goodwill attributed by the market to a firm as a personal measure. The study has chosen a sample of top 10 firmsviz.TCS, Infosys, Wipro, HCL, Tech Mahindra, Oracle Financial Service, Mindtree, Mphasis Hexaware and TaxElxsi of IT sector in India, which have listing flag in Bombay Stock Exchange, for the period from 2011 to 2015. The study used variables viz. return on sales (ROS), return on total assets (ROTA) and return on equity(ROE) and shareholders’ wealth(market value added (MVA)) and used descriptive statistics, correlation and multiple regression for analysis. The study proves that there is a significant impact of return on sales (ROS), return on total assets (ROTA) and return on equity (ROE)on shareholders’ wealth(market value added (MVA)), hence it is found that the return on sales, return on total assets and return on equity have impact on shareholders’ wealth(market value added (MVA))of firms of IT sector in India for the study period.
JEL:L25, G32, O16.
Market value added(MVA) is the difference between the total market value of afirm (debt and equity) and the amount ofcapital invested.Greater market value added highlights that the firm has added more value than what was contributed by the shareholders and investors, while a negativeMVAdisplays that the firm destroys value.The MVA, on the other hand, is thedifference between the present total market value of a firm and the capital divided by the number of investors (shareholders and bondholders). The firm’sbook value compares the amount of shareholders’ equity to the number of shares outstanding. If the market value of shares is lower than the book value the shares then it may be undervalued. Thus, the MVA is a possible indicator of the value of firm.
Review of Literature
Wibowoand Berasategui (2008),in a research study titled “The relationship between economic value added and market value added with reported earnings: An empirical research of Indonesia stock exchange” examined 40 listed firms in Indonesia stock exchange during the period from 2004 to 2007 and used correlation and multiple regression. The study found that general Indonesia listed firms produced negative economic value added (EVA). The EVA and MVA are proved to have correlation with reported earnings, however the result of EVA is lower than that of MVA.
Lavanya and Ramchendra Reddy (2012), in a research study titled “Analysis of financial performance of Iron and Steel industry with the help of market value added approach” examined 11 firms in Iron and Steel in India during the period from 2006 to 2011. The study considered return on sales (ROS), earnings per share (EPS), return on total assets (ROTA), capital productivity and labor productivity as determinants of financial performance. The study used descriptive statistics and multiple regression for analysis and found that the Iron and Steel firms played an important role in building the industrial base of the nation and providing infrastructure for the development of the firms.
Rajesh et al. (2012),in a research study titled “Empirical study on economic value added and market value added approach” considered 10 cement firms for the period from 2001 to 2011. The tools used for analysis were mean, variance, standard deviation and multiple correlation. The study concluded that the modern measures viz. economic value added (EVA) and market value added (MVA) showed same result on the performance of the firms.ACC Ltd and Grasim Cements Ltd had satisfactory performance with consistent return to the shareholders. The two measures viz. EVA and MVA had relative importance to assess the performance of the firms.
Uppili Srinivasan et al. (2012), in a research study titled “Economic value added and market value added of private steel companies” examined four private steel firms during the period from 2007 to 2011. The study used weighted average cost of capital, dividend yield, net profit, and return on assets (ROA) as the determinants of shareholders’ wealth. The study concluded that the firms will replace other performance measures with EVA and eventually will get to be judged by the extent of value generated for shareholders over and above the weighted average cost of capital.
Vijaykumar (2012), in a research study titled “Determinants of market value added: Some empirical evidence from Indian automobiles industry” examined 26 firms of automobile industry during the period from 1996-97 to 2008-09. The study used sales, return on sales (ROS), earnings per share (EPS), return on total assets (ROTA), market price (MP) and profit after tax (PAT) as the determinants of shareholders' wealth. The tools used were descriptive statistics and multiple regression. The study found that relationship between MVA and EVA was seen as negative for 65% of the firms during the study period; association between MVA and the selected financial variables showed both positive and negative impact. EPS and PAT were the best explanatory variables of MVA of Indian automobiles industry.
Nakhasi and Bnti Hamid (2013), in a study titled “The relationship between economic value added, return on assets, and return on equity with market value added in Tehran stock Exchange” examined 87 listed firms in Tehran stock exchange during the period from 2004 to 2008. The tools used were correlation, regression, and Durbin Watson test. The result showed that EVA was an effective measure in describing the firm’s market value. The firms can use EVA with other measures to evaluate their performance and these measures can help them to consider cost of capital (equity and debt) and return on equity capital employed for improving their performance thereby increasing the shareholders’ wealth.
Nakhasi and Bnti Hamid (2013), in a research study titled “Analyzing the relationship between economic valued added (EVA) and accounting variables with share market value in Tehran stock exchange” examined 87 non-financial listed firms in Tehran stock exchange during the period from 2004 to 2008. The tools used for analysis were correlation, regression and ANOVA. The study showed that there was significant relationship between accounting variables (net profit and operation profit) and market value added (MVA) than the economic value added (EVA);EVA has significant correlation with share market value and net profit (NP) has highly significant relationship with market value.
Pourali and Roze (2013),in a research study titled “The relationship between market value added with refined economic value added and performance accounting criteria in the firms listed in Tehran stock exchange” examined 67 listed firms in Tehran stock exchange for the period from 2006 to 2010. The study used mean, standard deviation, skewness, Jarque-Bera Statistics, correlation, regression and Hausman Test. The study considered return on assets (ROA) earnings per share (EPS), refined economic value added (REVA), return on equity (ROE) and real time (RT) as determinants of shareholders’ wealth. The study showed the relationships between MVA and ROA where Pearson’s linear correlation coefficient was 0.7 and the relationship was positive and significant.
Larojan and Thevaruban (2015),in a research study titled “Market value added (MVA) with economic value added (EVA) profitability performance of listed financial companies in Sri Lanka” examined 20 listed firms for the period from 2012 to 2013. The study used regression and ANOVA for analysis. The study showed that economic value added (EVA) is an effective measure in describing the firm’s stock market value.
Mara Ikbar and Shintia Dewi (2015), in a research study titled “The analysis effect of economic value added and market value added on share price of sub-sector companies of property incorporated in LQ 45Indonesia stock exchange” examined during the period from 2009 to 2013. The study used regression, t-test and Hausman test for analysis. The study showed that partially, EVA and MVA significantly had effect on the stock price; the independent variables (EVA and MVA) have significant effect on stock price and the co-efficient of determination (R2) is 86.98%, which implies that the independent variables could explain the dependent variable (MVA and EVA) to an extent of 86.98%, while the reaming 13.02% was explained by the other variables.
The relationship between MVA and the three variables viz. return on sales (ROS), return on total assets (ROTA) and return on equity (ROE)of the firms has been measured by Lal Bhasin (2013); Pourali and Roze (2013); Nakhaei and Bnti Hamid (2013).The relationship between MVA and ROS was also studied by Nirmal kumar (2014); and Kangarlouei Collins et al.(2012).The relationship between MVA and ROTA was analysed by various authors, for instance Nirmal kumar (2014).Hence, the hypotheses are:
H01: “There is no significant relationship between return on sales and shareholders’ wealth (market value added (MVA)) of IT sector in India”.
H02: “There is no significant relationship between return on total assets and shareholders’ wealth (market value added (MVA)) of IT sector in India”.
H03: “There is no significant relationship between return on equity and shareholders’ wealth (market value added (MVA)) of IT sector in India”.
The impact of return on sales (ROE),return on total assets(ROTA) and return on sales (ROS) on market value added (MVA) was studied by Ramachandran and Lavanya (2012); Ramachandra (2016); Lal Bhasin (2013); Nakhaei and Bnti Hamid (2013). Hence, the hypotheses are:
H04: “There is no significant impact of return on sales on shareholders’ wealth (market value added (MVA)) of IT sector in India”.
H05: “There is no significant impact of return on total assets on shareholders’ wealth (market value added(MVA)) of IT sector in India”.
H06: “There is no significant impact of return on equity on shareholders’ wealth (market value added (MVA)) of IT sector in India”.
The study is based on secondary data, which were collected from Bombay Stock Exchange (BSE).
Data Sources
The study is of analytical nature, which makes use of secondary data, a part from the annual report of firms’ data source, the rest were collected from academic research journals.
Sampling Design
The study has chosen top 10 IT firms in India for the period from 2011 to 2015,which are listed in Bombay Stock Exchange (BSE).The Indian IT sector is fast growing industry in India and it has shown a phenomenal growth in the last few decades. The top10 IT firms in India (2016) are selected on the basis of market capitalization*.
The selected sample of 10 firms of IT sector in India are show in table 1.
Table 1
Sample Firms of IT sector in India
Sl. No. |
Firm Name |
1 |
Tata Consultancy Services |
2 |
Infosys |
3 |
Wirpo |
4 |
HCL |
5 |
Tech Mahindra |
6 |
Oracle Financial Service |
7 |
Mindtree |
8 |
Mphasis |
9 |
Hexaware |
10 |
Tax Elxsi |
Source:www.bse.com: as on 16.01.2016
Variables used for Analysis
The return on sales (ROS) is a ratio used to derive the proportion of profit generated from sales. The concept is useful for determining the ability of management to efficiently generate profit from a given level of sales.
Return on sales = PBIT/Sales
Where,
PBIT= Profit before interest and taxes
Return on total assets (ROTA)gives productivity of firms and of management’s ability and efficiency. The index measures the relationship between profit and total resources invested. The ROTA measures the extent of the firm’s assets are being used to generate profit.
Return on total assets (ROTA) = (PBIT- Tax provision) Total assets
The return on equity (ROE) or return on capital (ROC) is the ratio of net income of a business to its stockholders’ equity during a year. It measures profitability of stockholders.
Return on equity (ROE) = Net Income/ Shareholders’ Equity
The MVA is the difference between the total market value of a firm and the economic capital. A firm’s total market value is equal to the sum of the market value of its equity and debt.
MVA=MV-IC
Where,
MVA= Market value added
EBIT
Market value of firm =
WACC
Where,
EBIT= Earnings before interest and taxes
WACC= Weighted average cost of capital
∑xw
WACC=
∑w
IC= Invested capital
Research Methods
The study used descriptive statistics, correlation and multiple regression for analysis.
n(∑xy)–(∑x)(∑y)
R =
√[n ∑x2 –(∑x2)] [n∑y2 –(∑y2)]
Where,
n= Number of items
∑=Sigma
x= (ROS, ROTA. ROE)
y= Market value added
The regression equation is:
Y= a+ b1(X1) + b2(X2) + b3 (X3) + u
Y= MVA (market value added)
a= Regression constant
b1, b2…= Regression co-efficient
X1=Return on sales (ROS)
X2= Return on total assets (ROTA)
X3= Return on equity (ROE)
u= Error term
Analysis and Discussion
The descriptive statistics of market value added (MVA), return on sales (ROS), return on total assets (ROTA) and return on equity (ROE) of IT sector in India are presented in table 2.
Table 2
Descriptive Statistics of MVA, ROS, ROTA andROE of IT sector in India from 2011 to 2015
Variables |
N |
Minimum |
Maximum |
Mean() |
Std. Deviation |
MVA |
10 |
-35057.7500 |
1715.3462 |
-9430.7970 |
12612.82427 |
ROS |
10 |
-1866.13171 |
3114.04321 |
-2411.3572 |
1570.23757 |
ROTA |
10 |
-2.032 |
-.884 |
.357 |
1.000 |
ROE |
10 |
-.970 |
1.619 |
.487 |
.816 |
Source: Computed result based on collected data from BSE
It is inferred that variable MVA has minimum value as -35057.75 and maximum value as 1715.34, while the is -9430.79 and is 12612.82. It is inferred that return on sales (ROS)has minimum value as -1866.13 and maximum value as 3114.04, while theis -2411.35 andis 1570.23. It is inferred that return on total assets (ROTA) has minimum value as -2.03 and maximum value as -0.884, while theis 0.357andisone. It is found that return on equity (ROE) has minimum value as -0.97and maximum value as 1.62, while theis 0.487andis0.816.
An attempt has been made to examine the relationship between return on sales, return on total assets and return on equity and MVA by computing correlation coefficient (vide table 3).
Table 3
Results of Correlation Analysis for Selected Variables of IT sector in India for the period from
2011 to 2015
Correlation |
MVA |
|
ROS |
Pearson Correlation |
-.973*** |
Sig. (2-tailed) |
.000 |
|
N |
10 |
|
ROTA |
Pearson Correlation |
-.937*** |
Sig. (2-tailed) |
.000 |
|
N |
10 |
|
ROE |
Pearson Correlation |
.636* |
Sig. (2-tailed) |
.099 |
|
N |
10 |
Source: Computed result based on collected data from BSE
***Correlation is significant at 0.01 level (2-tailed). |
* Correlation is significant at 0.10 level (2-tailed). |
The table shows that H01- H03: “There is no significant relationship between return on sales, return on total assets as well as return on equity with shareholders’ wealth” is rejected. There is a significant negative relationship between ROS and shareholders’ wealth (MVA)(-.973), ROTA and shareholders’ wealth (MVA) (-.973)at 1% level. However, there is a positive relationship between ROE and shareholders’ wealth (MVA) (.636) at 10% level.
The result of regression analysis of return on sales, and return on total assets and return on equity on shareholders’ wealth (market value added) is shown in table 4.
Table 4
Multiple Regression Results of Selected Variables on MVA of IT Sector in India for the Period from 2011 to 2015
Model |
Un-standardized Coefficients |
Standardized Coefficients |
t |
Sig. |
|
Β |
Std. Error |
Beta |
|||
MVA |
-118.507 |
992.921 |
-1.192 |
.278 |
|
ROS |
-.054 |
.020 |
-.476 |
-2.672 |
.037 |
ROTA |
-.133 |
.039 |
-.762 |
-3.439 |
.014 |
ROE |
5.943 |
1.605 |
.350 |
3.704 |
.014 |
R² |
.985 |
||||
Adjusted R² |
.977 |
||||
F-Statistic |
.000 |
||||
Durban Watson |
2.852 |
Source: Computed results based on collected data from BSE
Table 4 shows that there is a significant negative coefficient (-.476) of ROS and (-.762) of ROTA on shareholders’ wealth (market value added). Hence, H04 and H05:“there is no significant impact of return on sales as well as return on total assets on shareholders’ wealth (market value added)”is rejected at 5% level. However, there is a significant positive impact of ROE (.350) on shareholders’ wealth (market value added) at 5% level. Hence, H06: “there is no significant impact of return on equity on shareholders’ wealth (market value added)” is rejected at 5% level. Durban Watson is 2.852 (ranges between 2 and 3), whose successive error terms are, on an average, much different from one another, i.e. negatively correlated.
The overall regression model fit, which is represented by R2 (98%),shows that the explaining variables determine 98% of the changes in shareholders’ wealth (MVA). The F statistics is significant @ 1% level, indicating that the variance in the dependent variable (MVA) is explained by the variance in the(ROS, ROTA, ROE) independent variables selected.
Conclusion
As far as the shareholders’ wealth(market value added) is concerned, the study concludes that there is a significant impact of return on sales (ROS), return on total assets (ROTA) and return on equity(ROE)on shareholders’ wealth (market value added) though ROS, and ROTA negatively but ROE positively. Hence, based on the results, the study rejects H04, H05 and H06revealing that the return on sales, return on total assets and return on equity have impact, of course the return on sales and return on total assets negatively while, the return on equity positively, on shareholders’ wealth (market value added)of IT sector in India.
Limitations of the Study
Note: Market Capitalization*
Market capitalization represents the aggregate value of a firm’s stock. It is obtained by multiplying the number of equity shares outstanding by the current market price per share. It is used by the investment community in ranking the size of the firms, as opposed to sales or total assets figures. It is also used in ranking the relative size of stock exchanges, being a measure of the sum of the market capitalization of all firms listed on each exchange.
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