Impact of Working Capital Management on Profitability –A Case Study of ACC Ltd.

 

Dr. Ashok Kumar Panigrahi

Associate Professor in Finance, NMIMS University, Shirpur.

*Corresponding Author E-mail: panigrahi.ak@gmail.com

 

 

ABSTRACT:

This study empirically examines the relationship between working capital management and profitability of ACC Cement Company, the leading cement manufacturer of the country for assessing the impact of working capital management on profitability during the period 1999-2000 to 2009-10. The study is based on secondary data collected from the website moneycontrol.com as well as from the website of the company. The impact of working capital management on profitability is analyzed by computing Pearson's simple correlation coefficients, multiple correlation analysis and multiple regression analysis between Operating Profit and the selected independent variables affecting the working capital.  The ’t’ test has been used to judge whether the computed correlation and regression coefficients are significant or not. Few variables show a strong and positive correlation with the profit whereas some others do not have. Hence, the result concludes that there is a moderate relationship between working capital management and firm’s profitability.  It can be said that there exists a relationship between the efficiency of working capital and the profitability, but the relationship is not statistically significant.

 

KEY WORDS: Working Capital, Profitability, Efficiency, Current Assets, Current Liabilities, JEL Classification: G30, G32.

 


INTRODUCTION:

Working Capital Management refers to all management decisions and actions that ordinarily influence the size and effectiveness of the working capital. It is concerned with the most effective choice of working capital sources and the determination of appropriate levels of the current assets and their use. It focuses attention to the managing of current assets, current liabilities and the relationships that exist between them. In the present day of rising capital cost and scarce funds, the importance of working capital needs special emphasis. It has been widely accepted that the profitability of a business concern likely depends upon the manner in which its working capital is managed. The inefficient management of working capital not only reduces profitability but ultimately may also lead a concern to financial crises. On the other hand, proper management of working capital leads to a material savings and ensures financial returns at the optimum level even on the minimum level of capital employed.

 

Every organization whether, profit oriented or not, irrespective of size and nature of business, requires necessary amount of working capital. Working capital is the most crucial factor for maintaining liquidity, survival, solvency and profitability of business (Mukhopadhyay, 2004).

 

Working capital management is one of the most important areas while making the liquidity and profitability comparisons among firms (Eljelly, 2004), involving the decision of the amount and composition of current assets and the financing of these assets. The greater the relative proportion of liquid assets, the lesser the risk of running out of cash, all other things being equal. All individual components of working capital including cash, marketable securities, account receivables and inventory management play a vital role in the performance of any firm. Shin and Soenen, (1998) argued that efficient working capital management is very important to create value for the shareholders while Smith et. al., (1997) emphasized that profitability and liquidity are the salient goals of working capital management.  Therefore, many organizations that are profitable on which are forced to cease their operations due to an inability to meet their short-term debt obligations. In order to sustain the business, it is essential for any organization to successfully manage its working capital.

 

Firms may have an optimal level of working capital that maximizes their value. Large inventory and a generous trade credit policy may lead to high sales. Larger inventory reduces the risk of a stock-out. Trade credit may stimulate sales because it allows customers to assess product quality before paying (Long, Maltiz and Ravid, 1993, and Deloof and Jegers, 1996). Another component of working capital is accounts payable. Delaying payments to suppliers allows a firm to assess the quality of bought products, and can be an inexpensive and flexible source of financing for the firm. On the other hand, late payment of invoices can be very costly if the firm is offered a discount for early payment. A popular measure of Working Capital Management (WCM) is the cash conversion cycle, i.e. the time lag between the expenditure for the purchases of raw materials and the collection of sales of finished goods. The longer this time lag, the larger the investment in working capital (Deloof 2003).

 

According to a survey made by CFO Magazine, working capital management is one of the key issues facing by financial executives in the 21st century. The most salient example of working capital management importance and its effect on the companies relates to Amazon Company which is one of the biggest active companies in electronic business and different kinds of goods. In about the middle of 2000, it was specified that the working capital management in this company has caused share holding Price decrease according to the accomplished survey.

 

OBJECTIVES OF THE STUDY:

A longer cash conversion cycle might increase profitability because it leads to higher sales. However, corporate profitability might also decrease with the cash conversion cycle, if the costs of higher investment in working capital rise faster than the benefits of holding more inventories and/or granting more trade credit to customers. This discussion of the importance of working capital management, its different components and its effects on profitability leads us to the problem statement which we will be analyzing. This study is specifically designed to investigate the dependence of profitability on working capital management of ACC Ltd., the leading cement manufacturer of Indian cement industry for the period 2000-2010. The problem statement to be analyzed in this study is, “Does Working Capital Management Affect Profitability of Indian Cement Companies?”

 

ABOUT THE COMPANY – ACC LTD.

ACC Limited is India’s foremost cement manufacturer with a countrywide network of factories and marketing offices. Established in 1936, ACC has been a pioneer and trend-setter in cement and concrete technology. Among the first companies in India to include commitment to environment protection as a corporate objective, ACC has won accolades for environment friendly measures taken at its plants and mines, and has also been felicitated for its acts of good corporate citizenship. ACC is the most preferred cement brand name in India. ACC is now part of the worldwide Holcim Group.

 

ACC (ACC Limited) is India's largest manufacturer of cement and concrete. ACC's operations are spread throughout the country with 16 modern cement factories, more than 40 Ready mix concrete plants, 21 sales offices, and several zonal offices. It has a workforce of about 9,000 persons and a countrywide distribution network of over 9,000 dealers.

 

Since inception in 1936, the company has been a trendsetter and important benchmark for the cement industry in many areas of cement and concrete technology. ACC has a unique track record of innovative research, product development and specialized consultancy services. The company's various manufacturing units are backed by a central technology support services center - the only one of its kind in the Indian cement industry.

 

ACC has rich experience in mining, being the largest user of limestone. As the largest cement producer in India, it is one of the biggest customers of the domestic coal industry, of Indian Railways, and a considerable user of the country’s road transport network services for inward and outward movement of materials and products.

 

Among the first companies in India to include commitment to environmental protection as one of its corporate objectives, the company installed sophisticated pollution control equipment as far back as 1966, long before pollution control laws came into existence. Today each of its cement plants has state-of-the art pollution control equipment and devices.

 

ACC plants, mines and townships visibly demonstrate successful endeavors in quarry rehabilitation, water management techniques and ‘greening’ activities. The company actively promotes the use of alternative fuels and raw materials and offers total solutions for waste management including testing, suggestions for reuse, recycling and co-processing.

 

ACC has taken purposeful steps in knowledge building. We run two institutes that offer professional technical courses for engineering graduates and diploma holders which are relevant to manufacturing sectors such as cement. The main beneficiaries are youth from remote and backward areas of the country.

 

ACC has made significant contributions to the nation building process by way of quality products, services and sharing expertise. Its commitment to sustainable development, its high ethical standards in business dealings and its on-going efforts in community welfare programs have won it acclaim as a responsible corporate citizen. ACC’s brand name is synonymous with cement and enjoys a high level of equity in the Indian market. It is the only cement company that figures in the list of Consumer Super Brands of India.

 

REVIEW OF LITERATURE:

A significant portion of financial research is concerned with the management of working capital. This issue has been extensively investigated at both conceptual and empirical levels. Very few studies have been made in relation to Working Capital Management (WCM) especially in the cement industry in India. The study made by S.K.Ghosh and S.G.Maji is worth noting. They examined the efficiency of working capital management of Indian cement companies by taking a sample size of 20 large cement companies of India for the period 1992-93 to 2001-2002. They observed that the Indian Cement industry did not perform remarkably well during this period. Industry average for efficiency index was greater than one in 6 years out of 10 years study period. Though some of the sample firms had successfully improved efficiency during these years, the existence of a very high degree of inconsistency in this matter clearly points out the need for adopting sound working capital management policies by these firms. Further, they concluded that, in the matter of achieving the target level (industry norm) of efficiency by the firms, Associated Cement and Dalmia were the most successful firm followed by Decan, Kanoria& Madras. In view of the observed b values, once again it may not be unwise to conclude that firms under study should take necessary steps in order to improve efficiency in this regard.

 

In other study, (Shin & Soenen, 1998) used net-trade cycle (NTC) as a measure of working capital management to discover the relationship between efficient working capital management and firm’s profitability. NTC is basically equal to the CCC whereby all three components are expressed as a percentage of sales. The reason by using NTC because it can be an easy device to estimate for additional financing needs with regard to working capital expressed as a function of the projected sales growth. This relationship is examined using correlation and regression analysis, by industry and working capital intensity. Using a sample of 58,985 firm years covering the period 1975-1994, in all cases, they found, a strong negative relation between the length of the firm's net-trade cycle and its profitability. In addition, shorter NTC are associated with higher risk-adjusted stock returns. In other word, (Shin & Soenen, 1998) suggest that one possible way the firm to create shareholder value is by reducing firm’s NTC.

 

Deloof (2003) found a significant negative relation between gross operating income and the number of days accounts receivable, inventories and accounts payable of Belgian firms. These results suggested that managers can create value for their shareholders by reducing the number of days accounts receivable and inventories to a reasonable minimum. The negative relation between accounts payable and profitability inconsistent with the view that less profitable firms wait longer to pay their bills.

Eljelly (2004) identified the relation between profitability and liquidity who was examined, as measured by current ratio and cash gap (cash conversion cycle) on a sample of joint stock firms in Saudi Arabia. The study found that the cash conversion cycle was of more importance as a measure of liquidity than the current ratio that affects profitability. The size variable was found to have significant effect on profitability at the industry level. The results were stable and had important implications for liquidity management in various Saudi firms. First, it was clear that there was negative relationship between profitability and liquidity indicators such as current ratio and cash gap in the Saudi sample examined. Second, the study also revealed that there was great variation among industries with respect to the significant measure of liquidity.

 

The study of, (KessevenPadachi 2006) used return on total assets as a measure of profitability and the relation between working capital management and corporate profitability is investigated for a sample of 58 small manufacturing firms, using panel data analysis for the period 1998 – 2003. The regression result of their study indicates that high investment in inventories and receivables is associated with lower profitability. The key variables used in the analysis are inventories days, accounts receivables days, accounts payable days and cash conversion cycle. Their study also reveals significant relationship between working capital management and profitability has been found in previous empirical work. An analysis of the liquidity, profitability and operational efficiency of the five industries shows significant changes and how best practices in the paper industry have contributed to performance. The findings also reveal an increasing trend in the short-term component of working capital financing.

 

Raheman and Nasr (2006) discussed working capital management and its effect on liquidity as well as on profitability of the firm. They have studied the effect of different variables of working capital management including the Average collection period, Inventory turnover in days, Average payment period, Cash conversion cycle and Current ratio on the net operating profitability of Pakistani firms. Debt ratio, size of the firm (measured in terms of natural logarithm of sales) and financial assets to total assets ratio have been used as control variables. The results found that there is a strong negative relationship between variables of the working capital management and profitability of the firm. It means that the cash conversion cycle increases it will lead to decreasing profitability of the firm, and managers can create a positive value for the shareholders by reducing the cash conversion cycle to a possible minimum level. They found that there is a significant negative relationship between liquidity and profitability. They also found that there is a positive relationship between size of the firm and its profitability. There is also a significant negative relationship between debt used by the firm and profitability.

 

Lazaridis and Tryfonidis (2006) investigated the relationship of corporate profitability and working capital management. The purpose of there’s paper is to establish a relationship that is statistically significant between profitability, the cash conversion cycle and its components for listed firms in the ASE. The results of their research showed that there is statistical significance between profitability, measured through gross operating profit, and the cash conversion cycle. Moreover managers can create profits for their firms by handling correctly the cash conversion cycle and keep each different component (accounts receivables, accounts payables, inventory) to an optimum.

 

Jafar and Sur (2006) studied the efficiency of the working capital management in the National Thermal Power Corporation (NTPC), and showed that the company achieved a higher level of efficiency in managing its working capital during the post-liberalization era by adapting itself to the new environment which had emanated from liberalization, globalization and competitiveness. They pointed out that, while many of the public enterprises are learning to survive and grow by adapting themselves to the new situation, a large group of public sector undertakings, significant both in number and investment, have been beset with serious problems like slow growth, low productivity, inadequate emphasis on research and development, inefficient working capital management, and so on.

 

Vishnani and Shah (2007) investigated the impact of working capital management policies on the corporate performance of the Indian consumer electronics industry. They noted that inventory holding period, debtors’ collection period and net working capital cycle had negative relationship on the profitability of firms. Whereas, the average payment period had positive correlation with profitability.

 

Chakraborty (2008) evaluated the relationship between working capital and profitability of Indian pharmaceutical companies. He pointed out that there were two distinct schools of thought on this issue: according to one school of thought, working capital is not a factor of improving profitability and there may be a negative relationship between them, while according to the other school of thought, investment in working capital plays a vital role to improve corporate profitability, and unless there is a minimum level of investment of working capital, output and sales cannot be maintained - in fact, the inadequacy of working capital would keep fixed asset inoperative.

 

In their study of relationship between efficient working capital management and firm’s profitability, A.K. Sharma & Satish Kumar, 2008 collected data about a sample of 263 non-financial BSE 500 firms listed at the Bombay Stock (BSE) from 2000 to 2008 and evaluated the data using OLS multiple regression. Their findings significantly depart from the various international studies conducted in different markets. The results reveal that working capital management and profitability is positively correlated in Indian companies. Their study further reveals that number of days and accounts payable are negatively correlated with a firm’s profitability, whereas number of days accounts receivables and cash conversion period exhibit a positive relationship with corporate profitability.

 

Samiloglu and Demirgünes (2008) analyzed the effect of working capital management on firm profitability in Turkey for period of 1998-2007.Empirical results showed that account receivables period, inventory period and leverage significantly and negatively affect on profitability, while, firm growth significantly and positively. And also they proved that cash conversion cycle, size and fixed financial assets had no statistically significant effect on profitability.

 

Singh and Pandey (2008) discussed the impact of working capital management in the profitability of Hindalco Industries Limited. Regression results showed that current ratio, liquid ratio, receivable turnover ratio and working capital to total assets had statically significant impact on profitability.

 

Ramachandran and Janakiraman (2009) analyzed the relationship between working capital management efficiency and earnings before interest and tax of the paper industry in India. The study revealed that cash conversion cycle and inventory days had negative correlation with earning before interest and tax, while accounts payable days and accounts receivable days related positively with earning before interest and tax.

 

Dong and Su (2010) examined the relationship between profitability, the cash conversion cycle and its component for listed firms in Vietnam stock market for period (2006-2008).They resulted that there is strong negative relationship between cash conversion cycle and the profitability.

 

All the above studies provide us a solid base and give us idea regarding working capital management and its components. They also give us the results and conclusions of those researches already conducted on the same area for different countries and environment from different aspects. On basis of these researches done in different countries, we have developed our own methodology for research.

 

Research Methodology

The following are the methods and techniques adopted for collection of data and for their analysis in this study.

 

Collection of data:

The data of ACC Ltd. for the period 1999-2000 to 2009-10 used in this study have been collected from secondary sources i.e. Annual reports of the company as well as from the website moneycontrol.com. Editing, classification and tabulation of the financial data collected from the above-mentioned sources have been done as per the requirement of the study.

 

Variables:

For analyzing the data, simple mathematical tool like ratio and percentages have been used. The dependent variable was the Operating Profit Margin (PBIT/Sales) as a measure of Profitability. In this study eight independent variables were taken to measure the Working Capital. These variables include:

 

Independent Variables:

·      Assets Turnover Ratio(ATR) : Net Sales/Total Assets

·      Gearing Ratio (GRR) : Total Debt/Total Assets

·      Current Assets to Total Assets(CATA): Current Assets/Total Assets

·      Total Debtors to Current Assets(TDCA): Total Debtors/Current Assets

·      Current Liabilities to Total Assets (CLTA) : Current Liabilities/Total Assets

·      Inventory Turnover Ratio (ITR): Net Sales/Average Inventory

·      Debtors Turnover Ratio (DTR) : Net Credit Sale/Average Debtors

·      Number of Days in Working Capital (NWC) : Average Working Capital x 365 / Net Sales

·      Current Ratio(CR) : Current Assets/Current Liabilities

·      Quick Ratio (QR)   : Quick Assets/Current Liabilities

 

Dependent Variable:

Operating Profit Margin (OPM) = PBIT/Net Sales

 

Hypotheses

Since the objective of this study is to examine the relationship between profitability and working capital management of ACC Ltd. only, only one testable hypothesis is formulated for this study purpose; {The Null Hypotheses H0 versus the Alternative ones H1}.

 

H0: There is no relationship between working capital management and profitability of ACC Ltd.

 

H1: There is a possible positive relationship between working capital management and profitability of ACC Ltd.

(Impact of Working Capital on Profitability)

Working Capital

Profitability

CR

QR

ATR

GRR

ITR

DTR

NWC

CATA

TACA

CLTA

 

 

Statistical Tools used in the Study:

This study makes use of the Statistical tools for both its descriptive and quantitative analysis. The Mean and Standard Deviation are used in the descriptive portion of the analyses to determine the Mean values of each set of variables and their Standard Deviation. In the quantitative analysis portion, a statistical Correlation analysis is made to determine the relationship between an efficient management of working capital and corporate profitability for the sample under study. The Quantitative analysis also includes Multiple Regression analyses in order to shed more light on, and develop a better understanding of, the relationship of WCM and Profitability of the firm under study.

 

The Regression Model:

 The Multiple Regression analysis was employed in the study to explore the combined effect of the variables of working capital management on profitability. The Regression Equation is given below:

 

 


 

 

Table – 1: The definition of variables and their predicted relationship

Dependent variable

Definition

Symbols  

Expectation

Operating Profit Margin

Operating margin gives analysts an idea of how OPM much a company makes (before interest and taxes) on each rupee of sales.

Independent variables

Current Ratio

Describe the firm ability to meet its or cover its current liabilities using its current assets.

CR

Negative

Quick ratio

Describe the firm ability to meet its or cover its current liabilities using its current assets  excluding inventories.

QR

Negative

Current assets to Total  Assets ratio

Describe the ratio of current assets to total assets of the firm.

CATA

Negative

Number of Days in Working Capital

Describe how many days it will take for a company to convert its working capital into revenue.

NWC

Negative

Total Debtor to Current Assets

 Describe the ratio of total debtors to current assets of the firm 

TDCA

Negative

Current Liabilities to Total Assets

Describes the ratio of current liabilities to total assets of the firm.

CLTA

Positive

Assets Turnover Ratio

 Describes a firms’ efficiency at using its assets in generating sales or revenue.

ATR

Positive

Gearing Ratio

Describes the extent to which the firms’ activities are funded by owner’s funds versus creditor’s funds.

GRR

Positive

Debtors turn over ratio  Converted into cash.

Describe the efficiency of debtors to be 

DTR

 Positive

Inventory turn over ratio 

 Describe the efficiency of inventory to be converted into C.G.S. 

ITR

Positive

 

 

Table – 2 DESCRIPTIVE STATISTICS

YEAR

OPM (Dependent Variable)

Independent Variables

ATR

GRR

CATA

TDCA

CLTA

ITR

DTR

NWC

CR

QR

Mar '00

8.16

0.93

0.56

0.22

0.44

0.22

8.24

8.98

42.4

0.49

0.98

Mar '01

14.19

0.92

0.59

0.21

0.42

0.2

8.39

10.2

33.34

0.49

0.89

Mar '02

15.89

1.11

0.6

0.21

0.4

0.34

9.48

12.11

-8

0.32

0.59

Mar '03

11.73

1.17

0.57

0.22

0.32

0.39

8.53

14.52

-20.54

0.38

0.49

Mar '04

13.25

1.23

0.5

0.22

0.3

0.4

8.93

18.02

-24.27

0.43

0.49

Mar '05

17.02

1.3

0.47

0.26

0.24

0.41

7.27

20.91

-22.11

0.54

0.43

Mar '06

29.17

1.46

0.33

0.28

0.22

0.45

9.33

27.75

-6.96

0.77

0.61

Mar '07

28.15

1.55

0.2

0.25

0.21

0.41

24.85

27.4

-18.25

0.86

0.55

Mar '08

24.66

1.35

0.07

0.24

0.26

0.44

27.51

24.12

-17.02

0.89

0.61

Mar '09

31.95

1.23

0.08

0.16

0.19

0.39

25.22

31.22

-54.17

0.67

0.42

Mar '10

21.42

1.11

0.07

0.17

0.15

0.37

19.04

40.04

-63.76

0.68

0.43

Mean

19.6

1.21

0.36

0.22

0.28

0.36

14.25

21.38

-14.48

0.59

0.59

Median

18.31

1.22

0.415

0.22

0.27

0.39

9.4

21.14

-17.63

0.56

0.57

Standard Deviation

7.9

0.19

0.22

0.03

0.09

0.08

8.11

9.76

31.36

0.19

0.18

Correlation Coefficient "r"

0.7129

-0.8105

0.031

-0.7687

0.6111

0.7299

0.7688

-0.5455

0.7936

-0.4544

"t" value of "r"

3.05

-4.15

0.09

-3.61

2.32

3.2

3.61

-1.95

3.91

-1.53

 


OPM = β0 + β1 (ATR) + β2 (GRR) + β3 (TDCA) + β4 (CLTA) + β5 (ITR) + β6 (DTR) + β7 (CR) + ε

 

Where:

OPM = Operating Profit Margin

ATR = Assets Turnover Ratio

GRR = Gearing Ratio

TDCA = Total Debtors to Current Assets

CLTA = Current Liabilities to Total Assets

ITR = Inventory Turnover Ratio

DTR = Debtors Turnover Ratio

CR = Current Ratio, and

ε = The Error Term

 

Note: While selecting the independent variables for regression analysis, the variables having insignificant 'r' value or ’t’ value has been ignored e.g. CATA, NWC and QR.

 

Analysis & Interpretation of Data

In the above tables, an attempt has been made to examine the impact of working capital on profitability by computing Karl Pearson's correlation coefficients between OPM (Operating Profit Margin) and the selected ratios relating to working capital management. Table No. 1 gives the predicted relationship of the dependent variable OPM with all the independent variables and the subsequent tables shows the actual result.

 

RESULTS OF CORRELATION ANALYSIS:

The results of the above tables show that, four of the ten independent variables under study show a negative relationship with the dependent variable operating profit. For example, there is a high degree of negative correlation between gearing ratio (GRR) and operating profit (OPM), which is -0.81. It indicates that higher the gearing ratio of the company, lower is the profit and vice versa. Hence company should avoid debt capital to the extent possible for increased profitability. The result is against our predicted expectation. The computed value of the correlation coefficient between OPM and GRR don't conform to the accepted principle as in general higher the gearing higher should be the profitability and vice versa.


 

Table – 3 CORRELATION MATRIX

r

OPM (Dependent Variable)

ATR

GRR

CATA

TDCA

CLTA

ITR

DTR

NWC

CR

QR

OPM (Dependent Variable)

1

 

 

 

 

 

 

 

 

 

 

ATR

0.713

1

 

 

 

 

 

 

 

 

 

GRR

-0.811

-0.503

1

 

 

 

 

 

 

 

 

CATA

0.031

0.555

0.231

1

 

 

 

 

 

 

 

TDCA

-0.769

-0.684

0.824

0.042

1

 

 

 

 

 

 

CLTA

0.611

0.868

-0.53

0.335

-0.764

1

 

 

 

 

 

ITR

0.73

0.457

-0.897

-0.27

-0.593

0.398

1

 

 

 

 

DTR

0.769

0.527

-0.888

-0.207

-0.954

0.61

0.645

1

 

 

 

NWC

-0.546

-0.431

0.671

0.382

0.852

-0.698

-0.509

-0.821

1

 

 

CR

0.794

0.669

-0.842

0.249

-0.666

0.482

0.773

0.684

-0.281

1

 

QR

-0.454

-0.55

0.454

0.139

0.779

-0.801

-0.317

-0.652

0.931

-0.148

1


Similarly, total debtors to current assets (TDCA) also show a high degree negative correlation with operating profit which is -0.77. This is as per our earlier expectation which indicates that, higher the ratio of debtors in current assets, lower is the profit of the company and vice versa. It implies that, company should take initiatives to reduce the level of debtors and to speed up the collection process.

 

The next variable which shows a negative relationship with operating profit margin is number of days in working capital i.e. NWC, which matches with our earlier prediction. The relationship is also significant as the result is -0.55. This indicates that lesser the number of days that company takes to convert its working capital into revenue, higher is the profitability and vice versa.

 

The quick ratio also shows a negative relationship with the profit, as expected earlier indicating that higher the firms ability to meet its current liabilities from current assets excluding inventories, lower is the firms’ profitability and vice versa.

 

One more contradiction from our expectation is the result of current ratio. The accepted principle of relationship between current ratio to operating profit is that, higher the firms’ ability to meet its current liabilities from current assets i.e. higher the current ratio, lower the profit and vice versa. Hence, there should be a negative relationship between current ratio and operating profit margin. But in our study there is a significant positive relationship between the operating profit and current ratio which is 0.79. This indicates that current liabilities and short term debts of the company are covered by the current assets.  Of course a too high liquidity level is not at all acceptable, because that could mean that the company stocks its money instead of investing it in some productive purposes.

 

But a positive correlation of operating profit with current ratio and a negative correlation with quick ratio indicates that the company keeps large amount of inventory which forms part of the total current assets. Hence steps should be taken to reduce the inventory level to the extent possible. High inventory levels are usually unhealthy because they represent an investment with a rate of return of zero. It also opens the company up to trouble if the prices begin to fall. We can also see that correlation for explanatory variables is significant at 5%.

 

Results of Regression Analysis

In Table-4, multiple regression techniques have been applied in order to study the joint influence of the selected ratios relating to working capital management of the profitability of the company and the regression coefficients have been tested with the help of the most popular 't' test. In this study, ATR, GRR, TDCA, CLTA, ITR, DTR and CR have been taken as the explanatory variable and OPM has been used as the dependent variable.

 

The correlation and determination coefficients are the measures of the regression model. First, correlation coefficient (91.38%) and the determination coefficient (83.51%) show the degree of correlation among working capital and profitability of the company.

 


 

Table – 4: Regression Analysis

Regression Model: OPM = β0 + β1 (ATR) + β2 (GRR) + β3 (TDCA) + β4 (CLTA) + β5 (ITR) + β6 (DTR) + β7 (CR) + ε

SUMMARY OF OUTPUT OF REGRESSION ANALYSIS

Regression Statistics

Variables

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Multiple R

0.913865159

Intercept

26.52192968

106.9433547

0.24799979

0.82014064

-313.81955

366.8634139

R Square

0.835149528

ATR

67.34769458

64.02381411

1.05191631

0.37008724

-136.40466

271.1000452

Adjusted R Square

0.450498427

GRR

-88.31981843

125.8115454

-0.7020009

0.53324103

-488.70831

312.0686693

Standard Error

5.878840323

TDCA

42.41702439

107.3618591

0.39508467

0.71919584

-299.25633

384.0903764

Observations

11

CLTA

-89.67828773

113.288025

-0.79159547

0.48641111

-450.21134

270.8547689

 

 

ITR

-0.775299854

1.511119486

-0.51306324

0.64329869

-5.5843565

4.03375677

 

 

DTR

-0.07503754

1.425201411

-0.05265048

0.96132018

-4.6106645

4.460589425

 

 

CR

-38.8033625

59.31412613

-0.65420103

0.55965914

-227.56738

149.960659

Note: While selecting the variables for regression analysis, the variables having insignificant 'r' value or 't' value has been ignored e.g. CATA, NWC and QR. 

 

ANOVA

 

df

SS

MS

F

Significance F

 

 

 

Regression

7

525.2652

75.03788576

2.171187152

0.28146468

 

 

 

Residual

3

103.68229

34.56076354

 

 

 

 

 

Total

10

628.94749

 

 

 

 

 

 

 

 


 

 

Table – 5 WORKING CAPITAL LEVERAGE ANALYSIS

 

PARTI-CULARS

Mar

'00

Mar

'01

Mar

'02

Mar

'03

Mar

'04

Mar

'05

Mar

'06

Mar

'07

Mar

'08

Mar

'09

Mar

'10

Working Capital Investment (Rs.in Crores)

11.59

21.61

-330.23

-426.1

-490.84

-436.65

-548.3

-605.43

-892.25

-1480.41

-1439.62

Change in WC Investment (Rs. In Crores)

 

10.02

-351.84

-95.87

-64.74

54.19

-111.65

-57.13

-286.82

-588.16

40.79

Total Assets Investment (Rs.in Crores)

2,576.94

2,808.91

2,530.14

2,481.49

2,680.97

3,005.41

3,208.17

3,914.08

4,459.12

6,583.14

6,993.31

Total Assets + Change in Working Capital Investment (Rs.in Crores)

2,576.94

2,818.93

2,178.30

2,385.62

2,616.23

3,059.60

3,096.52

3,856.95

4,172.30

5,994.98

7,034.10

Working Capital Leverage (WORKING CAPITAL/TA+CWC)

0.004498

0.007666

-0.1516

-0.17861

-0.18761

-0.14271

-0.17707

-0.15697

-0.21385

-0.24694

-0.20466

Working Capital Leverage = Working Capital Investment/Total Assets + Change in Working Capital Investment

 

 


The standard error value is 5.88 and F-statistics value is 2.17 which is significant at 5% and shows100% fitness of the model.

 

Table -4 which represents the regression results shows a positive relationship of Operating Profit with ATR and TDCA indicating that these variables significantly affects the profitability of company. Hence company should speed up the process of collection from debtors and it should be ensured that assets of the company are used most efficiently to generate revenue for the company. The variables GRR, CLTA, ITR, DTR and CR show a negative relationship with operating profit.

 

In Table-5 it has been attempted to measure the sensitivity of Operating Profit due to variability in the level of working capital (gross) with the help of computing the working capital leverage of the company for all years under study. The formula used for calculating the working capital leverage is: WCL = WC /TA + CWC where WCL = working capital leverage, WC = working capital investment, TA = total asset investment and CWC = change in working capital investment. In computing the WCL it has been assumed that the change in working capital investment in the previous year will be maintained in the current year also. The higher the degree of WCL, the greater is the risk and vice versa. But at the same time, it increases the possibility of higher ROI. Table-5 discloses that only in the year 1999-2000 and 2000-01 the WCL of the company shows a positive figure and that too very insignificant. For all other years it is negative. Hence it can be concluded that sensitivity of Operating Profit due to changes in the level of working capital investment is very less.

 

CONCLUSION:

Efficient management of working capital is, thus, an important indicator of sound health of an organization which requires reduction of unnecessary blocking of capital in order to bring down the cost of financing. Business success heavily depends on the financial executives’ ability to effectively manage receivables, inventory, and payables. Firms can reduce their financing costs and/or increase the funds available for expansion projects by minimizing the amount of investment tied up in current assets. This paper examines the relationship between working capital management and firm’s profitability of ACC Ltd. The main objective of the study was to find whether the working capital management affects the performance of the firms in the special context of ACC Ltd. In certain cases the result shows as expected whereas in few cases it is not. Few variables show a strong and positive correlation with the profit whereas some others do not have. Hence, the result concludes that there is a moderate relationship between working capital management and firm’s profitability. To sum up, it can be said that there exists a relationship between the efficiency of working capital and the profitability, but the relationship is not statistically significant.

 

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Received on 28.09.2012           Modified on 16.10.2012

Accepted on 25.10.2012           © A&V Publication all right reserved

Asian J. Management 3(4): Oct.-Dec., 2012 page 210-218