Impact of financial leverage on cost of capital and valuation of firm: a study of Indian Cement Industry.
In running business activities smoothly every industrial organization must have adequate amount of capital at its disposal. As capital is regarded as the lifeblood life·blood
1. Blood regarded as essential for life.
2. An indispensable or vital part: Capable workers are the lifeblood of the business. of an organization and are available in a limited quantity, an industrial organization must acquire and is spend the same in a planned and systematic manner. In general, the potential sources of capital are owner's equity, retained earning, undistributed Adj. 1. undistributed - (of investments) not distributed among a variety of securities
undiversified - not diversified profit, and borrowed money. For most large business operations Business operations are those activities involved in the running of a business for the purpose of producing value for the stakeholders. Compare business processes. The outcome of business operations is the harvesting of value from assets , borrowed money from banks and other specialized spe·cial·ize
v. spe·cial·ized, spe·cial·iz·ing, spe·cial·iz·es
1. To pursue a special activity, occupation, or field of study.
2. financial institutions is used. The policy of supplementing owner's equity with borrowed money can only be supported when the return on investment (ROI (Return On Investment) The monetary benefits derived from having spent money on developing or revising a system. In the IT world, there are more ways to compute ROI than Carter has liver pills (and for those of you who never heard of that expression, it means a lot). ) is sufficiently large In mathematics, the phrase sufficiently large is used in contexts such as:
- is true for sufficiently large
Many financial managers argue that the financial leverage is the most important among the leverage concepts. It is particularly applicable in capital structure management. A firm's capital structure is the relation between debt and equity capital that makes up the firm's financing of the assets. A firm using no debt capital is said to have an all-equity capital structure. Since most firms have a capital structure comprising both debt and equity, such a firm's financial manager is highly concerned with the right choice of debt and equity. It determines the relationship that should exist between debt and equity capital at a given point of time. A firm which makes no use of fixed-charge securities have a purely equity capital structure and thus have no financial leverage at all. Thus it is very much imperative that every successful industrial organization must pay adequate consideration to the vital question of financial leverage, cost of capital, and value of firm.
Review of Literature
The question 'Is there an optimum debt level?' has occupied a central place in the corporate finance research. The optimum debt level represents the debt level that maximizes firm value. This optimum requires a trade-off between the benefits of debt use and the costs associated with it, for example, the trade-off between tax advantages of debt and bankruptcy costs, or the trade-off between the reduction of free cash flow agency problems and the increase of under investment problems. In an empirical framework, the trade-off argument predicts that firms adjust (increase or decrease) their actual debt ratios towards a target debt level. This means that the debt financing Debt Financing
When a firm raises money for working capital or capital expenditures by selling bonds, bills, or notes to individual and/or institutional investors. In return for lending the money, the individuals or institutions become creditors and receive a promise to repay decisions are not residuals of other financing, investment, and strategic decisions.
A survey of the literature shows that a large number of researches have been carried out in the area of capital structure and cost of capital. Notable among them are those by David Durand David Durand (1680 - 1763) was an Hugenot French and English minister and historian. He was born in Languedoc and fled France to the Netherlands before heading to Spain with a group of refugees, being captured at the Battle of Almanza in 1707 and being sent to France and then (1960), Ezra Ezra, persons in the Bible
Ezra, in the Bible.
1 Central figure of the book of Ezra.
2 Priest who returned with Zerubbabel. Solomon (1963), Barnes (1964), Baumol and Michael (1967), Scott (1997), Haley (1966), Schall and Harley (1977), and Elliott (1980). They came up with important findings. However, these studies were mostly based on data available in the advanced countries like the UK, the USA, etc.
The foregoing resume of research work shows that no systematic study has yet been made to test the validity of these important concepts in the context of the industrial undertakings operating in developing countries. So far as India is concerned, very few studies have been conducted in the area of capital structure practices. Among them are Bhat (1980) who found that business risk, profitability, dividend pay-out and debt-service capacity are significant determinants of leverage. Venkatesan (1983) has tried to study the impact of sales, cash flow coverage, and business risk on financial leverage in mining, paper, chemical, and steel industries in India. He finds that cash flow coverage has significant impact in determining the leverage ration ration
a fixed allowance of total feed for an animal for one day. Usually specifies the individual ingredients and their amounts and the amounts of the specific nutriments such as carbohydrate, fiber, individual minerals and vitamins. in the industry under study. Pandey (1985) examined the industrial patterns, trends and volatility of leverage, and the impact of size, profitability, and growth on leverage for a group of eighteen industries. Sharma and Rao (1969) conducted a study on capital structure and cost of capital, and found that the cost of capital was affected by debt apart from tax advantages. This result was again supported by another study conducted by Pandey (1985). Chandra (1997) has conducted a study to find out the effect of leverage on shareholders' return. This study has suggested that profitability has strong influence on the financial leverage and on shareholders' return in engineering industry in India. Bhayani (2006) has conducted a study on financial leverage and its impact on shareholders' return in Indian cement cement, binding material used in construction and engineering, often called hydraulic cement, typically made by heating a mixture of limestone and clay until it almost fuses and then grinding it to a fine powder. industry. He finds that the profitability of a firm is positively related to its financial leverage. But no researcher has tried to study the impact of financial leverage on cost of capital and valuation of firm and thus the present paper seeks to make a humble beginning in this respect.
Objectives of the Study
The objectives of this study are:
* To analyse an·a·lyse
v. Chiefly British
Variant of analyze.
analyse or US -lyze
[-lysing, -lysed] or -lyzing, the trend of financial leverage,
* To study the impact of financial leverage on average cost of capital,
* To analyse the impact of financial leverage on price-earning ratio and total valuation of firm, and
* To examine the correlation of financial leverage with cost of capital, price earning ratio, and valuation of firm.
Hypothesis of the Study
The broader hypotheses of the study are as under:
* The financial leverage has an important impact on the cost of capital.
* The financial leverage has an impact on the Price Earning ratio.
* The financial leverage has an impact on valuation of the firm.
Methodology of the Study
For this study, the necessary data have been collected from the Capitaline database of the capital market. These data have been used in computing computing - computer certain specific ratios mentioned in the accounting literature. These ratios help in evaluating the financial position of the selected companies and throw ample light on their respective financial policies. In this study, top nine performing companies on the basis of sales in the cement industry have been selected as sample for study. The reason behind selection of the cement Industry is that it is a fast developing industry, and in this industry some companies are performing well whereas others are loss making. Even the uses of debt component in the financial structure in the industry are highly fluctuating fluc·tu·ate
v. fluc·tu·at·ed, fluc·tu·at·ing, fluc·tu·ates
1. To vary irregularly. See Synonyms at swing.
2. To rise and fall in or as if in waves; undulate.
v. . For the purpose of analysis various data from the selected companies for the period from 2000-01 to 2007-08 have been used. For the purpose of meaningful analysis the eight years' average ratios on different variables have been taken for the period of the study. For analysis of data simple statistical techniques like mean, median, and Karl Pearson's coefficient of correlation coefficient of correlation
n. pl. coefficients of correlation
See correlation coefficient.
Noun 1. coefficient of correlation have been used in the study. For testing of hypotheses t-test has been used.
Analysis of Financial Leverage and Cost of Capital
A company has to employ its owners' funds as well as outsiders' funds to finance its projects so as to make the capital structure of the company balanced and try to maximize the return on investment (ROI) and also increase the return to the its shareholders. The total cost of capital is the aggregate of costs of funds from specific sources. The composite cost of all types of capital lies between the least and the most expensive funds.
Financial leverage has been calculated by using the following formula:
Financial Leveraqe = EBT/EBT
The researcher used the following formula to calculate the WACC WACC
See: Weighted average cost of capital
WACC = (net worth / total assets) * Ke + (total external liabilities / total assets) * Kd.
WACC = Weightage Average Cost of Capital
See: Earnings Before Interest and Taxes
See earnings before interest and taxes (EBIT). = Earnings before Interest and Tax
See: Earnings Before Taxes = Earnings before Tax
Ke = Cost of Equity
Kd = Cost of Debt
WACC, weighted to Ke and Kd is computed by book value as well as market value. If there is a difference between book value and market value rates, the WACC would differ. Hence, in practice the market value weights cannot be used as they are difficult to ascertain. Even if they are ascertained as·cer·tain
tr.v. as·cer·tained, as·cer·tain·ing, as·cer·tains
1. To discover with certainty, as through examination or experimentation. See Synonyms at discover.
2. , they fluctuate according to according to
1. As stated or indicated by; on the authority of: according to historians.
2. In keeping with: according to instructions.
3. the market conditions. In the study the researcher has calculated weight on the basis of book value. In assigning as·sign
tr.v. as·signed, as·sign·ing, as·signs
1. To set apart for a particular purpose; designate: assigned a day for the inspection.
2. weight to cost of equity, the total net worth was divided by the total assets for finding out the relative weights to be assigned as·sign
tr.v. as·signed, as·sign·ing, as·signs
1. To set apart for a particular purpose; designate: assigned a day for the inspection.
2. to equity capital and debt capital.
The impact of leverage on cost of capital was tested by using the Karl Pearson's coefficient of correlation in the following manner:
1. The impact of financial leverage on cost of capital of the sampled company of cement industries.
2. The impact of high-levered companies and low-levered companies of the sampled groups on cost of capital.
Analysis of Impact of Financial Leverage on Cost of Capital
The data on financial leverage and cost of capital of the sampled companies are presented in Table 1.
The statistical hypothesis: The financial leverage has an important impact on the cost of capital.
[H.sub.0]: r = 0
[H.sub.1]: r [not equal to] 0
The null hypothesis null hypothesis,
n theoretical assumption that a given therapy will have results not statistically different from another treatment.
n is that there is no correlation between these two phenomena; while the alternative hypothesis alternative hypothesis Epidemiology A hypothesis to be adopted if a null hypothesis proves implausible, where exposure is linked to disease. See Hypothesis testing. Cf Null hypothesis. is that there is significant correlation between the two phenomena.
As a part of analysis in this study, to find out if there is any relationship between the financial leverage and the cost of capital of the sampled companies in cement industry, the coefficient of correlation was calculated and tested with the help of t-test (Table 2).
The computed value of t is less than the critical value of t at 5 per cent level of significance for DOF See depth of field and 6DOF.
DOF - degrees of freedom 7. So, the hypothesis Ho is accepted and it may be concluded that there is no significant relationship between the financial leverage and the cost of capital within the cement industry and whatever negative relation is there is due to sampling fluctuations.
Analysis of Impact of High-levered and Low-levered Companies on Cost of Capital
As per the traditional approach, it is believed that initially with the increase in the degree of financial leverage, the overall cost of capital declines, and after reaching a certain level of the degree of financial leverage, the financial leverage continues to increase faster than the cost of capital. Hence, very low degree of financial leverage in the relationship between the financial leverage and the cost of capital is believed to be negative; and in high degree of financial leverage, the relationship between the financial leverage and the cost of capital should be positive.
To test this belief the researcher has divided the sampled companies into two groups on the basis of the median value Noun 1. median value - the value below which 50% of the cases fall
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population (1.68) of the financial leverage of the sampled companies. The first group contains the number of companies having the degree of financial leverage below the median value, while the second group includes companies having their degree of financial leverages higher than the median value. Hence, these two groups are known as low-levered companies and high-levered companies respectively.
The details of low-levered companies and high-levered companies along with their cost of capital are listed in Table 3 and Table 4 respectively.
To test the impact of financial leverage on the cost of capital in low-levered and high-levered companies Karl Pearson's coefficient of correlation was used and the results were tested at 5 per cent level of significance. The results are presented in Table 5.
It can be seen from Table 5 that positive coefficient of correlation was found in the case of both low- and high-levered companies. The result supports, the traditional approach. But these apparent results were subject to hypothesis testing hypothesis testing
In statistics, a method for testing how accurately a mathematical model based on one set of data predicts the nature of other data sets generated by the same process. to know if these are simply because of sampling fluctuations or not. For this, the t-test at 5 per cent level of significance was used and it may be concluded that the null hypothesis is accepted in both the cases of low- and high-levered companies and that there is no linear correlation between high and low financial leverage and cost of capital within the industry.
Analysis of the Impact of Financial Leverage on Price Earning Ratio
Debt is considered to be the cheapest source of fund. As earlier explained, if the interest on debt capital is less than the rate of earnings of a firm, the remaining profit will increase the earnings of equity shareholders without any increase in their investments. Thus, increase in profit may lead to increase in the Earnings per Share (EPS (Encapsulated PostScript) A PostScript file format used to transfer a graphic image between applications and platforms. EPS files contain PostScript code as well as an optional preview image in TIFF, WMF, PICT or EPSI, the latter being an ASCII-only format. ) and thereby the market price of shares. Hence the impact of financial leverage on Price Earning ratio was calculated with the help of the coefficient of correlation at 5 per cent level of significance through t-test (Table 6).
The statistical hypothesis: The financial leverage has an impact on the Price Earning Ratio.
[H.sub.0]: r = 0
[H.sub.1]: r [not equal to] 0
The null hypothesis is that there is no correlation between these two phenomena; while the alternative hypothesis is that there is significant correlation between these two phenomena. The results of the study are presented in Table 7.
The computed value of t is less than its critical value at 5 per cent level of significance for DOF 7. So, the hypothesis Ho is accepted and it may be concluded that there is no significant relationship between the financial leverage and the Price Earning ratio within the cement industry.
The results show that negative correlation Noun 1. negative correlation - a correlation in which large values of one variable are associated with small values of the other; the correlation coefficient is between 0 and -1
indirect correlation exists between the financial leverage and Price Earning ratio, which is very low in the sampled companies. The result of t-test suggests that the leverage has no impact on the Price Earning ratio of the sample companies.
Analysis of Financial Leverage and Valuation of Firm
The researcher examines here the relationships between the degree of financial leverage and the valuation of a firm. It is largely believed that levered companies have comparatively higher valuation as compared to unlevered companies and this view was also eventually supported by the Modigliani and Miller approach (1958).
Calculation of Valuation of Firm
While estimating the market values of debt capital and equity capital of the sample units, the researcher has calculated first the average interest and the average earnings available to shareholders of each and every company during the period of study and then used the following formula to calculate the market value of debt and the market value of equity.
Market value of debt = Average interest/Cost of debt
Market value of equity = Average earning available to shareholders/Cost of equity
Total market value = Market value of debt +/Market value of equity of the firm
The result are presented in Table 8.
In the light of the above data, the study has tried to test whether there exists any relationship between these two variables or not Karl Pearson's coefficient of correlation was used and the results were tested at 5 per cent level of significance.
The statistical hypothesis:
[H.sub.0]: r = 0
[H.sub.1]: r [not equal to] 0
The null hypothesis is that there is no correlation between degree of financial leverage and the total valuation of the firm, while the alternative hypothesis is that there is significant correlation between these two variables. The result of the study in this regard is presented in Table 9.
Since the computed value of t is less then the critical value at 5 per cent level of significance, Ho is accepted and it may be concluded that there is no significant relationship between the financial leverage and the total valuation of the firms. In other words Adv. 1. in other words - otherwise stated; "in other words, we are broke"
put differently , financial leverage does not affect the valuation of the firms under study.
Analysis of Capital Structure vis-a-vis Total Valuation, Financial Leverage, Overall Cost of Capital, and Price Earning Ratio in Cement Industry:
As an integrated approach, the researcher subsequently has tried to know the functional relationship of capital structure (financial leverage), cost of capital, earning per share Noun 1. earning per share - the portion of a company's profit allocated to each outstanding share of common stock
net income, net profit, profit, profits, earnings, lucre, net - the excess of revenues over outlays in a given period of time (including depreciation (in the form of Price Earning ratio) with that total valuation as per the following approach:
Total valuation = f (FL, Ko, Price Earning Ratio)
To examine the relationship and interrelated in·ter·re·late
tr. & intr.v. in·ter·re·lat·ed, in·ter·re·lat·ing, in·ter·re·lates
To place in or come into mutual relationship.
in effect between financial leverage, cost of capital, earning per share, and total valuation, the researcher has used the correlation and multiple correlation among the different variables. Results are presented in Table 10.
As per the analysis the value of multiple correlation between these two variables in cement industry was 0.57 (R1.23 = 0.57) indicating a positive multiple correlation among the variables. It is concluded that the independent variables Financial Leverage (FL) and Overall Cost of Capital (Ko) were positive and affected the total valuation of the firm. R1.34 = 0.51 indicates the positive correlation Noun 1. positive correlation - a correlation in which large values of one variable are associated with large values of the other and small with small; the correlation coefficient is between 0 and +1
direct correlation between these variables and it may be concluded that the independent variables Overall Cost of Capital (Ko) and Price Earning ratio are affected positively to the total valuation of the firm.
Findings of the Study
* No impact of financial leverage on cost of capital is found in the cement industry i.e., no significant linear relationship exists between the financial leverage and cost of capital.
* Positive correlation is found between high- and low-levered companies with cost of capital for cement industry and the result does not support the traditional approach. Also the result at 5 per cent level of significance with t-test does not show any correlation between these two variables.
* The financial leverage has not effect on Price Earning ratio in the cement industry.
* There is no correlation between the financial leverage and total valuation within the cement industry and whatever positive correlation is there is due to sampling fluctuations, i.e. financial leverage does not affect the total valuation of the firms in the cement industry.
* No linear correlation is found between the financial leverage and the total valuation of the firms and the result does not support the Modigliani and Miller approach about the levered companies having comparatively higher valuation than the un-levered companies.
* The independent variables--financial leverage and cost of capital as well as cost of capital and Price Earning ratio--jointly affect the total valuation positively within the cement industry.
* The total valuation of a firm may increase through different combination of the three variables, viz viz - A visual language for specification and programming.
["viz: A Visual Language Based on Functions", C.M. Holt, 1990 IEEE Workshop on Visual Langs, Oct 1990, pp.221-226]. ., cost of capital, financial leverage, and Price Earning ratio.
Barnes, A. James, (1964), 'A Pedagogic ped·a·gog·ic also ped·a·gog·i·cal
1. Of, relating to, or characteristic of pedagogy.
2. Characterized by pedantic formality: a haughty, pedagogic manner. Note on Cost of Capital', Journal of Finance, March, pp. 65-85.
Baumol, William Baumol, William (Jack) (1922– ) economist; born in New York City. Best known for his work distinguishing sales maximization from profit maximization in industry, he was also known for his clear transcription of business management and operations , and Durton G. Michael, 1967, 'The Firm's Optimal Debt-Equity Combination and the Cost of Capital', Quarterly Journal of Economics The Quarterly Journal of Economics, or QJE, is an economics journal published by the Massachusetts Institute of Technology and edited at Harvard University's Department of Economics. Its current editors are Robert J. Barro, Edward L. Glaeser and Lawrence F. Katz. , November, pp. 60-75.
Bhat, Ramesh, (1980), 'Determinants of Financial Leverage: Some Further Evidence', The Chartered Accountant, December, pp. 451-6.
Bhayani, S.J., (2006), 'Financial Leverage and Its Impact on Shareholders' Return: A Study of Indian Cement Industry', International Journal of Management Science, 2(1), July, pp. 31-42.
Shekhar, Chandra, (1997), 'Financial Leverage: Its Determinants and its Impact on Cost of Capital and Shareholders' Return', Journal of Accounting and Finance, XI(2), pp. 82-93.
Durand, David, (1960), 'The Use of Debt and Equity Fund in Business: Trends and problems of measurement', in Ezra Solomon (ed.), The Management of Corporate Capital, New York New York, state, United States
New York, Middle Atlantic state of the United States. It is bordered by Vermont, Massachusetts, Connecticut, and the Atlantic Ocean (E), New Jersey and Pennsylvania (S), Lakes Erie and Ontario and the Canadian province of : The Free Press of Glencoe, pp. 230-45.
Eliott, J.V., (1980), 'The Cost of Capital and U.S. Capital Investment: A Test of Alternative Concepts', Journal of Finance, September, pp. 110-25.
Haley, Charles W., (1966), 'A note on the Cost of Debt', Journal of Financial and Statistical Analysis, December, pp. 160-80.
Modigliani F., and M. Miller, (1958), 'The Cost of Capital, Corporate Finance and the Theory of Investment', American Economic Review, 48, pp. 261-97.
Pandey, I.M., (1985), 'The Financial Leverage in India: A Study', Indian Management, March, pp. 21-34.
Rose, T., (1975), The Internal Finance of Industrial Undertaking, London: Pitman and Sons Ltd, pp. 221-32.
Roy, C.D., (1972), 'The Concept of Cost of Capital', The Management Accountant, September, pp. 554-5.
Sharma, L., and K. Rao, (1969), 'Leverage and Value of the Firm', Journal of Finance, September, pp. 25-30.
Solomon, Ezra, (1963), 'Leverage and the Cost of Capital', Journal of Finance, May, pp. 330-65.
Scott, J.J., (1997), 'Bankruptcy, Secured Debt and Optimal Capital Structure', Journal of Finance, March, pp. 60-72.
Schell, Lawrence D., and Charles W. Harley, (1977), Introduction to Financial Management, 2nd ed., New York: McGraw-Hill Book Company.
Venkatesan, S., (1983), 'Determinants of Financial Leverage: An Empirical Extension', The Chartered Accountant, January, pp. 519-27.
Sanjay J. Bhayani, Associate Professor, Department of Business Management (MBA Programme), Saurashtra University Introduction
Saurashtra University was established on 23rd May 1967 with the mission to provide an educational facelift to the economically downtrodden region of Saurashtra. In more than three decades of its performance the University and the region have come a long way. , Rajkot, India. Email: email@example.com
Table 1: Financial Leverage and Cost of Capital in Cement Industry Average Average Cost Financial of Capital Name of Company Leverage (%) Ko (%) Ambuja Cements Ltd 1.33 7.63 Associated Cement Co Ltd 1.88 10.02 Birla Corporation Ltd -5.66 12.46 Dalmia Cement (Bharat) Ltd 1.68 8.38 India Cements Ltd 1.96 10.98 Madras Cements Ltd 2.14 8.80 Prism Cement Ltd 0.41 13.57 Shree Cement Ltd 2.82 9.48 UltraTech Cement Ltd 0.51 7.11 Average 0.78 9.82 Table 2: Analysis of Coefficient of Correlation and t-test of the Sample Companies in Cement Industry t-test Coefficient Details of Degree of Computed Table Result Correlation Freedom Value Value All sampled -0.467 7 1.397 2.37 Insignificant companies Table 3: Low Financial Leverage (FL) and Cost of Capital (Ko) Name of Company Average Average FL Ko Ambuja Cements Ltd 1.33 7.45 Birla Corporation Ltd -5.66 6.03 Prism Cement Ltd 0.41 6.38 UltraTech Cement Ltd 0.51 4.53 Table 4: High Financial Leverage and Cost of Capital (Ko) Name of Company Average Average FL Ko Associated Cement 1.88 5.44 Co. Ltd Dalmia Cement 1.68 4.15 (Bharat) Ltd India Cements Ltd 1.96 3.43 Madras Cements Ltd 2.14 3.95 Shree Cement Ltd 2.82 4.69 Table 5: Analysis of Coefficient of Correlation and t-test of the Sample Companies Details Coefficient Degree of of Freedom Correlation Low-levered 0.13 2 companies High-levered 0.15 3 companies Details t-test Result Computed Table Value Value Low-levered 0.18 4.3 Insignificant companies High-levered 0.26 3.18 Insignificant companies Table 6: Financial Leverage and Price Earning Ratio of Sample Companies Name of Company Average Average FL P.E. Ratio Ambuja Cements Ltd 1.33 15.73 Associated Cement 1.88 33.35 Co Ltd Birla Corporation Ltd -5.66 76.80 Dalmia Cement 1.68 4.93 (Bharat) Ltd India Cements Ltd 1.96 136.98 Madras Cements Ltd 2.14 19.53 Prism Cement Ltd 0.41 16.89 Shree Cement Ltd 2.82 141.11 UltraTech Cement Ltd 0.51 967.51 Table 7: Analysis of Coefficient of Correlation and t-test of the Sample Companies t-test Coefficient Degree of of Computed Table Details Correlation Freedom Value Value Result All -0.04 7 0.15 2.37 Insignificant sampled companies Table 8: Financial Leverage and the Total Valuation of Firms Name of Company Average Average Total FL Valuation (Rs in Crore) Ambuja Cements Ltd 1.33 1550.52 Associated Cement 1.88 1701.47 Co Ltd Birla Corporation Ltd -5.66 264.16 Dalmia Cement 1.68 1022.31 (Bharat) Ltd India Cements Ltd 1.96 1898.97 Madras Cements Ltd 2.14 2693.47 Prism Cement Ltd 0.41 241.72 Shree Cement Ltd 2.82 468.87 UltraTech Cement Ltd 0.51 1165.37 Table 9: Analysis of Coefficient of Correlation and t-test of Sample Companies Coefficient Degree of of Details Correlation Freedom All 0.49 7 sampled companies t-test Computed Table Details Value Value Result All 1.52 2.37 Insignificant sampled companies Table 10: Average Valuation, Financial Leverage, Overall Cost of Capital and Price Earning Ratio in Cement Industry Name of Company Average Average Ko P.E. Valuation FL Ratio Ambuja Cements Ltd 1550.52 1.33 7.63 15.73 Associated Cement Co Ltd 1701.47 1.88 10.02 33.35 Birla Corporation Ltd 264.16 -5.66 12.46 76.80 Dalmia Cement (Bharat) Ltd 1022.31 1.68 8.38 4.93 India Cements Ltd 1898.97 1.96 10.98 136.98 Madras Cements Ltd 2693.47 2.14 8.80 19.53 Prism Cement Ltd 241.72 0.41 13.57 16.89 Shree Cement Ltd 468.87 2.82 9.48 141.11 UltraTech Cement Ltd 1165.37 0.51 7.11 967.51 Average 1222.98 0.79 9.82 156.98
|Printer friendly Cite/link Email Feedback|
|Author:||Bhayani, Sanjay J.|
|Date:||Jul 1, 2009|
|Previous Article:||Internet mavens in India.|
|Next Article:||Mapping career anchors in a large engineering company: a study.|