Determining the impact of Capital Structure on Economic Value Added with reference to select Pharmaceutical companies listed in National Stock Exchange

 

Geetanjali Purswani1*, Anand Raj2

1Assistant Professor, Dept. of Commerce, Christ University, Bengaluru-29

2PG Research scholar, Christ University, Bengaluru-29

*Corresponding Author E-mail: geetanjali.purswani@christuniversity.in, samuelanandraj7@gmail.com

 

ABSTRACT:

The investors are looking for companies that can add more to their wealth. It is important for companies to maintain good market value, this is possible only when the company strives to increase Econmic Value Add (EVA), better the EVA better the firm’s ability to meet its cost of capital. When company exceeds its Net Operating Profits over Cost of capital EVA will be positive. The company can increase the shareholders value only by enhancing EVA. On the other side the value of EVA is also determined by the decisions made by the firms on their capital structure. This study attempts to measure the relationship between Capital structure and EVA. Five Pharmaceutical companies listed in NSE have been taken and analysis is done for a period of five years (2013-2017) with the help ofMicrosoft Excel. To measure the relationship between Capital Structure and Economic Value Added and Regression analysis is done to measure the impact of Capital Structure on Economic Value Added. Results of the study reveals Capital Structure does not significantly impact on the value of EVA.

 

KEYWORDS: Capital Structure Cost of Capital, Economic Value Added (EVA), ProfitabilityPosition.

 

 


INTRODUCTION:

The capital structure of a business is the mix of types of debt and equity the company has on its balance sheet. Debt is an essential element of capital structure of any organization. An appropriate capital structure is necessary to maximize the returns for shareholders. Proper capital structure is attained by a proper mix of debt and equity. It takes into consideration of various theories of capital structure developed by professionals. The capital or ownership of business can be evaluated by knowing how much of the ownership is in debt and how much in equity.

 

The capital structure management is one of the essential areas of concern of every organization. A company succeeds or fails due to its capital structure management. An optimum capital structure is the one which maximizes the value of the firm. The capital structure of a company may consist of:

1.       Equity shares only,

2.       Equity and preference shares,

3.       Equity shares and debentures,

4.       Equity share, preference share and debenture

 

Among these forms any one can be chosen by a company. Capital Structure is a significant concept because it reflects the firm’s strategy, indicates of the risk profile of the firm, acts as a tax management tool, helps to brighten the image of the firm. The factors like risk, profit, nature of the project, control of the firm are the important determining factors of capital structure. Economic Value Added, a measure provided by stern Stewart and Co., is the performance measure directly linked to creation of shareholder’s value. EVA is also considered as economic profit. Operating profits (tax adjusted) of the business are deducted by the weighted average cost of capital to get EVA. It is considered a good measure to check the performance of management of the company and it clearly shows how much profits a company is able to generate overa and above the returns required for the shareholders.

 

The combination of Debt and equity in the capital structure of the company determines its returns to the shareholders. Present study is aimed at checking if there exists any relationship between capital structure of the organization and Economic Value Added by the organization. It further checks how much is the impact of Debt- equity ratio (measure of capital structure) on EVA

 

REVIEW OF LITERATURE:

Right decisions on financing can lead to optimum capital structure. Therefore, it is one of the important decisions that a company makes on the financial leverage which can directly affect the shareholders wealth (Bhayani, 2009) Kumar and Subramanyam (2017) says that one of the important roles which has to be performed by the financial manager deals with analysis of the firm’s value to take better decisions. In order to determine the goodwill of the firm and to keep the shareholders happy it is important to conduct a value analysis in various situations to know the negative and positive implications. The researchers have used two modern financial tools known as EVA and MVA.

 

Decisions on capital structure are essential for a company to be financially strong. Unsuitable decisions on capital structure might take the companies to financial trouble and ultimately to insolvency. All such decisions regarding capital structure are taken by Top Level Executives to attain the main objective shareholders wealth maximization (Baser, Brahmbhatt, and Joshi 2011). Any investor who invests in a company must give importance to information because it helps them to find out the company’s priority on shareholders wealth. This task can be effective only when there is reliable data hence the software companies and stock exchanges which provide information about companies must also calculate value based performance variables which can be used by analysts, investor and researchers in their decision-making process (Shahveisi, Navid, Najafi, and Hosseini 2012). The leverage or mix of debt and equity maintained by the companies can affect risk and returns which directly affects value of the firms. This is a risk that management has to face while making decisions pertaining to debt and equity mix. But this risk is under the control of management, wrong decisions on capital structure can increase the cost of capital, which unavoidably lowers the net present value of the projects. The determining factors of capital structure differs in different industries therefore, it is must for a financial manager to wisely analyse the specific characteristics of that industries before planning for optimum capital structure (Krishnan and Mohandas 2013). Chadha and Sharma (2015) analysed that factors such as size, growth, profitability, business risk, uniqueness, ownership structure etc. influences the capital structure decisions.

 

The main aim of a company is maximizing the shareholders wealth and attracting more investments from the investors. Therefore, the success of a firm and its management is determined based on the level of value creation to its shareholders. Economic Value Added is an important performance measurement tool which is interrelated to market value of the firm. EVA is an important tool which measures the profit after considering capital and taxes. Better EVA indicates greater value to the shareholders of a company (Vijayalakshmi,2013). To improve the value for its shareholders the companies should maximize their MVA (Market Value Added), it is possible only when company strive towards maximizing EVA, because EVA indicates firm’s capacity to gain returns on capital above its cost (Wet and Hall, 2004)

 

PURPOSE AND SCOPE OF THE STUDY:

The purpose of the study is to find the relationship between Economic Value Added and Capital Structure in the Pharmaceutical Companies listed in National Stock Exchange. The scope has been restricted to 5 Pharmaceutical Companies selected randomly. One of the selection criteria was that the Companies should be running in profits. Due to stiff competition, Pharmaceutical manufacturers find it difficult to be profitable and successful in the market. This research intends to analyse the scope beyond profitability by concentrating on debt equity mix and analysisng its relationship with Economic Value Added. The period of the study is 2013-2017.

 

RESEARCH METHODOLOGY:

The research material and methods deal with secondary sources and the data has been collected from Prowess the data base from Centre for Monitoring Indian Economy (CMIE), annual reports and websites like www.moneycontrol.com. Top 5 Pharmaceutical companies are identified and analysis is done from 2013-2017 i.e. for a period of five years. The selected Companies include Lupin Ltd., Dr. Reddy’s Laboratories Ltd, Aurobindo Pharma Ltd, GlaxoSmithKline Pharmaceuticals Ltd and Glenmark Pharmaceuticals Ltd.

 

5 years Debt-Equity Ratio has been taken from www.moneycontrol.com and average of the values have been calculated. The website uses the formula Total Debt / Equity to calculate the ratio. Moreover, Long-term sources of finences are used to calculate the ratio.

The EVA is computed using following equation:

EVA=NOPAT- (WACC CE)

Where,

EVA = Economic Value Added

NOPAT=Net Operating Profit After Tax

WACC= Weighted Average Cost of Capital

CE= Capital Employed

 

An average of all the values are taken for five years to calculate average EVA.

 

Correlation is calculated using Microsoft Excel to find out the relationship between EVA and capital structure.Regression analysis is also done to find out the impact of Capital structure on Economic Value Added using Microsoft Excel.

 

LIMITATIONS OF THE STUDY

The study is limited for a period of five years and only five companies have been selected for the purpose of the study. So, the findings canno be generalised.Also, only Pharmaceutical Companies have been taken into account. This study is based on the information presented in the annual reports, which is secondary data. Limitations applicable in the financial statements would apply to this study also. More companies can be analysed in the future studies and sector wise analysis can also be conducted.

 

DATA ANALYSIS AND INTERPRETATION:

Table 1: Average values of EVA of select pharmaceutical companies

Name of the company

EVA (in millions)

Lupin Ltd

-234450.8

Dr Reddy's Laboratories Ltd

-401189.97

Aurobindo Pharma Ltd

-610053.37

Cadila Healthcare

-226065.628

Glenmark Pharmaceuticals Ltd

-2,17,937.96

Source: Author

 

Table 1 shows the average Economic Value Added of all the companies. Although the companies which were making profits have been selected, the EVA is negative for all.

 

Table 2: Average of Debt Equity Ratio

Companies

Debt equity Ratio

Lupin Ltd

0.04

Dr Reddy's Laboratories Ltd

0.25

Aurobindo Pharma Ltd

0.59

Cadila Healthcare

0.366

Glenmark Pharmaceuticals Ltd

0.142

Source: Money control

Table 2 shows the avrage Debt-Equity ratio average of five years for all the companies. Lupin ltd has the lowest Debt-equity ratio of 0.04 showing least reliance on Debt by the management. Highest Debt-equity ratio of 0.59 belongs to Aurobindo Pharma Ltd.

 

Table 3: Correlations

 

Debt equity Ratio

EVA (In millions)

Debt equity Ratio

1

 

EVA (In millions)

-0.789455901

1

Source: Author

 

Table 3 shows correlation between Debt-equity ratio and Economic Value Added. The results of the study show that Debt-equity ratio and Economic Value Added have strongly negative correlation.Thus,increase in one variable leads to decrease in another variable.

 

REGRESSION ANALYSIS

For the purpose of this analysis, Debt-equity is taken as independent variable and EVA is taken as dependent variable.

 

Table 4: Regression Analysis

Multiple R

0.789455901

R Square

0.62324062

Adjusted R Square

0.49765416

Standard Error

120527.6539

Observations

5

 

 

Coefficient

Standard Error

t-Stat

P-Value

Intercept

-162749.306

95341.04918

-1.7072

0.186357

Debt Equity Ratio

-631088.76

283291.784

-2.26277

0.112236

Source: Author

 

Table 4 shows regression analysis between the average Debt-equity ratio and average EVA of the 5 Pharmaceutical companies for a period of five years. Adjusted R sqaure of 0.49 shows that 49% of variation in EVA is predicted by Debt-equity ratio of the organization. Thus, it shows not a very strong prediction. So, it can be said that variables not included in the study are impacting EVA more than Debt-equity ratio. P-value of 0.11 shows that influence of Debt-equity ratio on EVA is not significant.

 

Thus, the study shows that companies with debt composition in their capital structure have negative EVA i.e. the more increase in debt leads to more reduction in EVA of these pharmaceutical companies in India. As per the analysis done using excel, the value of P (significance level) =0.49 indicates that debt has not very significant impact on value of a firm’s EVA.The results of the present study are similar to the results of a study conducted by Jose and Ashok, (2015) and Asif and Aziz, (2016).

 

CONCLUSION:

This paper attempts to find out impact of capital structure decisions on the value of EVA which reflects the value that companies can create for their shareholders.

 

The correlation between Capital Structure and Economic Value Added have strongly negative correlation and the Regression analysis reveals that Capital structure does not impact significantly on value of EVA. Hence the value of EVA of these organizations is not only affected by the debt-equity composition in their capital structure but by many other factors.

 

REFERENCE:

1.     Asif, A., and Aziz, B. (2016). Impact of Capital Structure on Firm Value Creation- Evidence From the Cement Sector of Pakistan. International Journal of Research in Finance and Marketing, 6(6), 231-245.

2.     Baser, N., Brahmbhatt, M., and Joshi, N. (2011). Capital structure deisions of infrastructutre comapnies:An investigation of finanace executives. Prestige International Journal of Management and Research, 4/5(2/1), 10-17.

3.     Baybordi, A., Kermani, E., and Kargar, E. F. (2014). Evaluating the Relationship between Economic Value Added and Capital Structure in Companies Listed at Tehran Stock Exchange. Journal of Educational and Management Studies, 758-762.

4.     Baybordi, A., Kermani, E., and Kargar, E. F. (2014). Evaluating the Relationship between Economic Value Added and Capital ucture in Companies Listed at Tehran Stock Exchange. Journal of Educational and Management Studies, 4(4), 758-762.

5.     Bhayani, S. j. (2009). Impact of Financual Leverage on Cost of Capital and Valuation of a Firm:A study of Indian Cement Industry. 8(2), 43-49.

6.     Chadha, S., and Sharma, A. K. (2015). Determination of capital structure:an empirical evaluation from India. Journal of Advances in Management Research, 12(1), 3-14.

7.     Jose, T., and Ashok, A. (2015). A Study on the Relationship between Capital Structure and Value Based Performance Measurement Systems:EVA and MVA. Research Journal of Commerce and Behavioural Science, 4(7), 16-23.

8.     Kanahalli, and Ravindra. (2017). Impact of Capital structure ON economic value added (A comparative study of select cement comapanies in india). International Journal of Management Studies, 4(3), 54-61.

9.     Krishnan, R., and Mohandas, N. (2013). A STUDY ON FACTORS INFLUENCING THE LEVERAGE OF INDIAN COMPANIES. Journal of Commerce and Accounting Research, 2(1).

10.  Kumar, K. K., and Subramanyam, D. (2017). Shareholders' Value Analysis :Eva and Mva In Relation To Stock Market Returns With Reference To the Indian Cement Company. IOSR Journal of Economics and Finance (IOSR-JEF), 8(3), 15-19.

11.  Rostami, A., Asghar, A., Tehrani, Reza, Serraji, and Hassan. (2004). “the relationship between economic values added, profit before interest and tax, the cash flow of operational activities with the stock market value of companies listed in Tehran Stock Exchange". Fernan, 21-30.

12.  Shahveisi, F., Navid, B. J., Najafi, Y., and Hosseini, S. A. (2012). The Study of Relationship between Capital Structure and the Variables of the Value-based Performance Assesment. Research Journal of Finance and Accounting, 3(7), 131-138.

13.  Vijayalakshmi, S. (2013). Eva:A tool for measuring shareholders value creation-A case study of maruti udyog limited. i-manager's Journal on Management, 7(3), 34-39.

14.  Wet, J. d., and Hall, J. (2004). The realtionship between EVA,MVA and leverage. Meditary Accountancy Research, 12(1), 39-59.

 

WEB SOURCE:

1.     www.moneycontrol.com

2.     www.Equitymaster.com

3.     www.lupin.com

4.     www.drreddys.com

5.     www.aurobindo.com

6.     https://annualreports.gsk.com

7.     www.glenmarkpharma.com

8.     https://www.gurufocus.com

 

 

 

 

 

Received on 03.01.2018          Modified on 31.01.2018

Accepted on 20.02.2018           ©A&V Publications All right reserved

Asian Journal of Management. 2018; 9(1):347-350.

DOI: 10.5958/2321-5763.2018.00054.9