The Impact of Corporate Leverage on Profitability: Evidence from IT Industry in India

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Volume 8, Issue 4, October 015 The Impact of Corporate Leverage on Profitability: Evidence from IT Industry in India D. Silambarasan Ph. D Research Scholar Department of Commerce Kanchi Mamunivar Centre for Postgraduate Studies Pondicherry University, Puducherry Dr. R. Azhagaiah Associate Professor of Commerce Kanchi Mamunivar Centre for Postgraduate Studies Pondicherry University, Puducherry Abstract The term 'leverage' is used to utilize the fixed cost or funds to increase the returns to the owners of the firm. The study is an attempt to analyze the determinants of corporate leverage in IT industry in India. In order to test the hypotheses and to address the objectives of the study, the present study has chosen 8 sample firms from IT industry in India, which are listed in National Stock Exchange. The study used correlation and regression analysis to find the relationship and the impact of corporate leverage on profitability. The study proves that there is a significant impact of operating Leverage and Financial Leverage on Return on Net worth. Hence, based on the results, the 1 study rejects Ho and Ho, revealing that the Operating Leverage and Financial Leverage have impact, of course the Operating Leverage negatively while the Financial Leverage positively, on Return on Net worth of IT Industry as a whole in India. However, the impact o Combined Leverage on Return on Net worth is not significant due to negative impact of Operating Leverage on Return on Net worth. Key words: Capital Structure, Corporate Leverage, Profitability JEL: G3 Introduction A lever is a rigid piece that transmits and modifies force or motion where forces are applied at two points and it turns around a third. The physical principle of the lever is intuitively appealing to most; hence it is the principle that permits the magnification of force when a lever is applied to a fulcrum. Therefore, it is an increased means of accomplishing some purpose. Generally it brings an increase in income volatility. In business, leverage is the means of increasing profits, which may be favourable or unfavourable. The former reduces profit, while the latter increases it. Hence, it is essentially related to a profit measure which may be a return on investments or on earnings before taxes, etc. hence it is an important tool of financial planning. Further, 'leverage' is the ability of a firm in employing longterm (LT) funds having a fixed interest, to enhance returns to the owners. Therefore, it is a means of accomplishing power for gaining 44

an advantage. It also represents the impact of one financial least square model of regression was used in the estimation of variable over some other related financial variables. In a function relating to the net operating profitability with the other words, it is the employment of fixed assets (FA) or predictor variables viz. debt ratio, long-term debt to funds for which a firm has to meet fixed cost (FC) or fixed liabilities, equity to liabilities and size of the firm measured in rate of interest obligation irrespective of the level of terms of natural logarithm of sales. The results showed that activities attained or the level of operating profit (OP) the CS of the non-financial firms listed on Islamabad stock earned. The higher the leverage, higher will be the profit exchange has a significant effect on the profitability of the and vice versa. However, a higher leverage obviously firms. implies higher outside borrowings and hence riskier if the business activity of the firm suddenly takes a dip. But a low Objectives of the Study leverage does not necessarily indicate prudent financial 1. To study the relationship between the leverage and management, as the firm might be incurring opportunity profitability of firms of IT sector in cost for not having borrowed funds at FC to earn higher profits. There are many ratios used to measure the leverage India. effect on the profitability of a firm, which is broadly. To study the impact of the leverage on profitability classified in to two categories viz operating leverage and of IT sector in India. financial leverage. Hypotheses Review of Literature The following hypotheses are developed to study the impact Shahar (1968) stated that in a perfect capital of the selected financial variables on operating leverage. market, where the interest rate is constant, any Capital 1 H 0 Structure (CS) is efficient and that the cost of capital is, : There is no significant impact of Operating therefore, constant. Bhat and Ramesh (1980) found a Leverage (OL) on Return on Net Worth negative relationship between dividend payout and leverage (RONW) ratio, though cause-and-effect was related with leverage the H 0 : There is no significant impact of Financial degree of Operating Leverage (OL) did not influence the use Leverage (FL) on Return on Net Worth of debt the Financial Leverage (FL) and debt service (RONW) capacity were found to be negatively related. Research Methodology Barton and Gordon (1988) found that a corporate strategy perspective, with its emphasis on managerial The study is based on the secondary data, which are choice, might provide a behavioral basis for understanding collected from the Bombay Stock Exchange the CS of large US firms at the firm level which was ( www.bseindia.com), National Stock Exchange complementary to the traditional finance paradigm at the ( www.nseindia.com) and are supplemented with other level of the economy. Harris and Raviv (1991), in a study published sources in the form of journals and magazines. titled The theory of capital structure surveyed CS theories Sampling Design based on agency costs, asymmetric information, product / input market interactions, and corporate control In order to test the stated hypotheses and to address considerations (but excluding tax based theories). For each the objectives of the study, the present study has chosen 8 type of model, a brief overview of the papers surveyed and sample firms from IT industry in India, which are listed in their relation to each other's type is provided. NSE. The reason for choosing these firms from the listing flag of NSE is due to the fact that the NSE has the largest Safieddine and Titman (1999) made a study titled number of quoted domestic firms on any stock exchanges in A study in leverage and its determinants and presented the world. results, which are consistent with the use of debt being positively associated with an alignment of interest between Research Methods shareholders and managers that subsequently increased The study used descriptive statistics, viz mean, standard their leverage ratios, tend to experience significantly better deviation, multiple correlation and regression for analysis of performance than those that do not. data. Raheman et al. (007), in a research paper titled Ratios Capital structure and profitability examined the effect of CS on the profitability of firms listed on Islamabad stock (i) Operating Leverage (OL) exchange and selected a sample of 94 non-financial firms for The OL refers to the existence of fixed cost (FC) a period of six years from 1999 to 004. Pooled ordinary element in total cost structure of a firm and its impact on 45

Volume 8, Issue 4, October 015 firm's ability. It is expressed as Contribution / EBIT. A high OL indicates a larger proportion of FC causing low net profit and the EBIT will tend to vary more with sales. OL = EBIT Sales (ii) Financial Leverage (FL) The FL refers to the use of debt component in capital structure (CS) and the effect of payment of fixed interest on firm's profitability. It is expressed as EBIT / EBT. A high FL indicates a higher percentage of debt in the CS when compared to the equity. (iii) Net worth (NW) Regression The linear regression uses one predictor variable to explain and / or predict the outcome of Y, while multiple regression uses two or more predictor variables to predict the outcome. The general form of each type of regression is: Net worth is an important determinant of the value of a firm, considering it is composed of primarily of all the Linear regression: Y = a + bx + u money that has been invested since its inception, as well as the retained earnings for the duration of its operation. The Multiple regression: Y = a + b1x 1 + bx +b3x 3. + btx t + u net worth can be used to determine credit worthiness of a firm because it gives a snapshot of the firm's investment history also called owners' equity, shareholders' equity and net assets. (iv) Return on Net worth (RONW) It is the ratio of an individual or business taxpayer's income to their overall net worth. Net Income RONW = X 100 or = Contribution EBIT FL = EBIT EBT (V) Profitability Ratio Profitability ratio is a class of financial metrics that are used to assess a business's ability to generate earnings when compared to its expenses and other relevant costs incurred during a specific period of time. For most of these ratios, a higher value relative to a competitor's ratio or the same ratio from a previous period is found to be indicative that the firm is doing well. b is called the slope a is called the intercept X is the predictor variable Y is the criterion variable Y = RONW (Return on Net Worth) X = OL (Operating Leverage) 1 X = FL (Financial Leverage) a = Regression Constant b1 = Regression Coefficient X = CL (Composite Leverage) u = Error Term Shareholders' Equity 3 Industry Analysis and Discussion The selected sample of 8 firms of IT industry in India is presented in table 1. 46

The descriptive statistics of Return on Net Worth, Operating, as 0.8, while the X is 0.6 and o is 0.19. It is inferred that Financial and Combined Leverage of IT industry in India are the variable, FL has the minimum value as -15.33 and presented in table. It is inferred that variable, RONW has maximum value as 1.03, while the X is 3.40 and o is 6.68. the minimum value as 8.90 and maximum value as 81.69, It is found that the variable, CL has minimum value as -8.9 while the X is 1.0 and o is 6.45. It is seen that the variable, and maximum value as 5.8, while X is 0.71 and o is.33. OL has the minimum value as -0.06 and the maximum value Figure A reveals the descriptive statistics of Return on Net worth, Operating, Financial and Combined Leverage of IT Industry in India. Correlation Analysis Pearson's correlation analysis is used to study the relationship between predictor variables and response variable, and the relationship between CL and FL (0.806) is highly significant positively at 1% level; whereas the relationship between RONW and OL (-0.376) is significant negatively at 5% level (vide table 3). 47

Volume 8, Issue 4, October 015 Table 4 shows that the OL has significant negative results. co-efficient (-0.05) on RONW in IT firms in India. Hence, 1 Ø In the present study, descriptive statistics, correlation H 0 : there is no significant impact of OL on RONW is and multiple regressions are only used for analysis; rejected at 5% level; the FL has significant positive cotherefore analysis by use of appropriate advanced efficient (0.7) on RONW of IT firms in India. Hence, H 0 : models like Chow Test etc., if applied may bring a there is no significant impact of FL on RONW is rejected differing inference. at 5% level. However, the CL has insignificant positive coefficient (41.08) on RONW, which may be due to the References significant negative coefficient of OL on RONW. The value Barton, S. L., and P. J. Gordon. 1988. Corporate strategy of F statistics is.53, which shows a good fit of regression and capital structure. The Journal of Strategic and is significant at 5% level with R² 0.4. Management 9(6): 63-3. Conclusion Bhat, K., and K. Ramesh. 1980. Determinants of financial As far as the corporate leverage (OL, FL and CL) is structure: Some further evidence. The Chartered concerned, the study concludes that there is a significant Accountant 9(6): 451-6. impact of OL and FL on RONW. Hence, based on the Harris, M., and A. Raviv. 1991. The theory of capital 1 results, the study rejects Ho and Ho, revealing that the OL structure. The Journal of Finance 46(1): 97-355. and FL have impact, of course the OL negatively while the FL positively, on RONW of IT Industry as a whole in India. Raheman, A., B. Zulfiqar and M. Mustafa. 007. Capital However, the impact of CL on RONW is not significant due structure and profitability: A case of Islamabad to the negative impact of OL on RONW. Stock Exchange. International Review of Business Research Papers 3(5): 347-61. Safieddine, A., and S. Titman. 1999. Leverage and its Limitations and Scope for Further Studies determinants. The Journal of Finance and Ø In the present study, a sample of 8 firms of IT Industry Quantitative Analysis 38(56): 643-57. has been considered for analysis. In future, researchers Shahar, H. B. 1968. The capital structure and the cost of can consider inclusion of more number of firms by capital. The Journal of Finance 3(49): 639-53. referring to the other data sources like capital plus etc to take up a study with large sample units to explore further 48