Research Article Open Access
Relationship between Working Capital and Corporate Performance in the Textile Sector of Pakistan
Shahzad Atta1, Haris Javed1, Muhammad Jawad Khalil1, Imtiaz Ahmad2 and Muhammad Nadeem3*
1MS Scholar, National University of Modern Languages Islamabad, Pakistan
2PHD Scholar, North China University of Water Resources and Electric Power
3Faculty of Management Sciences, National University of Modern Languages Multan
*Corresponding author: Muhammad Nadeem, Faculty of Management Sciences, National University of Modern Languages Multan. E-mail:- @
Received: October 21, 2017; Accepted: November 01, 2017; Published: November 09, 2017
Citation: Nadeem MD, Shahzad A, Javed H, et al. (2017) Relationship between Working Capital and Corporate Performance in the Textile Sector of Pakistan. Int J Fam Busi Manag 1(1): 1-5.
Abstract
This research study has tried to examine the association between the working capital and corporate performance in the textile sector of Pakistan. Textile sector is one of the major sectors in Pakistan which have crucial contribution in the economy. Secondary data was gathered and used for the evaluation of the relationship between the working capital and corporate performance in the textile sector of Pakistan. Data was collected from the annual reports of the companies published during 2008-2012. Regression Model is used for the analysis of the gathered data. Results revealed that average collection period and operating cycle are positively associated with the corporate performance of the organizations in Pakistan. Corporate performance is measured through return on equity and firm size is positively associated with the return on equity. Leverage is negatively linked to the return on equity in the textile sector of Pakistan. Overall it has been observed that working capital and corporate performance are linked and have significant impact on the textile sector of Pakistan.

Keywords: Textile Sector, Working Capital, Corporate Performance, Profitability, Pakistan
Introduction
Working capital is related with managing and financing short term investment decisions and management of current assets as well as fixed assets at the same time. Managing theses short term investment decisions is known as working capital management. All the organizations manage their current assets efficiently due to their importance in the measurement of overall performance of the organizations. Productions organizations manage their current assets with great care due the dependence of their liquidity and profitability on the working capital. It is evident from the past researches that organizations have faced critical situations due to their mismanagement of working capital. All those organizations operating in developed or developing countries, which have given less importance to their working capital have suffered in managing ideal performance [1].

Liquidity of the organizations is as crucial as the profitability of the organizations. Balance between the liquidity and profitability is crucial to be managed due to their critical impact on the organizations. Literature has provided the risk of insolvency for those organizations which are failed to manage the balance between the liquidity and profitability of the organizations. Organizations with too much short term assets and the organizations with less than the required short term investment have faced serious risk of insolvency in the past therefore the balance between the current assets and long term assets is very crucial for the organizations [10].

Capital Budgeting, Capital Structure and Working Capital Management are the main roofs of finance which are crucial to be handled[4].Working capital management is related to the current asset management which directly affect the liquidity of the organizations. Capital Budgeting and Capital Structure are associated with the handling of long term assets which have more impact in the long run and return of the assets. Mostly studies have focused on the developed countries to measure the impact of working capital on the performance of the organization whereas less work has been done in the under developed countries. This research study has focused to evaluate the effect of working capital on the performance of the organization in the textile sector of Pakistan which is not focused in the past.
Literature Review
The significance of working capital management efficiency is undeniable. It is known as life giving force for any organization and its management is considered among the most essential functions of corporate management. Every organization whether, profit oriented or not, regardless of their size and nature of business, requires necessary and sufficient amount of working capital and its management. It is the most fundamental factor for maintaining liquidity, survival, solvency and profitability of business.

Considering the importance of working capital management the researchers focused on evaluating the working capital management and profitability relationship among others. However, there are a few studies with reference to Pakistan like [2]. Working Capital Management is vital as it directly affects the profitability and liquidity of firms. Working capital management is one of the most essential areas while making the liquidity and profitability comparisons among firms 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 smaller the risk of running out of cash, all other things being equal. All components of working capital including cash, marketable securities, account receivables and inventory management play a vital role in the performance of any firm. Efficient working capital management is very important to create value for the shareholders.

Corporate Performance is simply the performance of the corporation or company and Corporate Performance Management is the effective and efficient management of the corporation that leads them towards the achievement of their goals [5]. Here performance is considered and measured with the help of different indicators that include profitability and firm size etc. Budgeting, Forecasting and Planning are some components of corporate performance management that help corporations to observe and plan about the performance of the corporations from time to time.

Padachi observed the trends in Working Capital Management and its impact on the performance of firms [9]. Panel data analysis and regression analysis was used on a sample of 58 small manufacturing Mauritian firms for the period of 1998-2003. The dependent variable, return on total assets was used as a measure of profitability and the relation between working capital management and corporate profitability. The study revealed that paper and printing industry were having best practices due to efficient management of components of working capital and its positive impacts on profitability, thus they were considered industry champions.

Mathuva DM tested the influence of working capital management components on corporate profitability in Kenya [7]. A sample of 30 firms listed on the Nairobi stock exchange from 1993 to 2008 was used. Pooled OLS and fixed effect regression models were used. The study concluded that there exists a highly significant negative relationship between the time it take for firms to collect cash from their customers and profitability.
Determinants of Profitability
Determinants of Profitability are explored below to examine the relationship between the working capital and corporate performance in the textile sector of Pakistan.
Average Collection Period
Average collection period is the time period in which organizations collect their receivables from the customers. Organizations with the strict collection policy cannot survive in long time period but too much leniency in the collection duration may also affect the profitability of the organizations badly [6]. Some studies have found positive association of average collection period with profitability but according to some researches there is negative association between the average collection period and profitability of the organizations.
Operating Cycle
Operating cycle is a complete cycle in which organizations procure and convert the raw material into finished goods and receive the cash against the sold items. Normally it takes more time to receive the cash which affects negatively to the profitability but it can be improved through reducing no of days in receivables [8].
Cash Conversion Cycle
Cash conversion cycle is a time period in which organizations convert their resources into cash flows. Cash inflow and cash outflow are two have much importance in measuring the performance of the organizations [3]. Organizations expect a negative relationship between the cash conversion cycle and profitability of the organizations but some studies also found a positive relationship of cash conversion cycle with profitability.

On the basis of the above facts following hypothesis can be developed.

H1: There is positive and significant relationship between average collection period and ROE.

H2: There is positive and significant relationship between operating cycle and ROE.

H3: There is positive and significant relationship between cash conversion cycle and ROE.
Research Methodology
This study explores the determinants of corporate performance in context of textile firms of Pakistan. It is based on secondary data that is collected form annual reports of firms. These firms are listed on Karachi Stock exchange. The sample size is the data of 38 firms listed on Karachi stock exchange of Pakistan. The analysis is restricted to period of 5 years (2008-2012). Only those firms have been selected whose data was available for all these years. The appropriate sampling technique has been used as the data of as much firms was easily available that included in the sample. Regression analysis has been done in this study. Using regression model, each variable is being added to the model in view of its estimation power over the dependent variable. Each time as the variable enters into the model, all the other variables are reexamined and some variables restricted out in analysis due to negative values. Data for this research was collected from the concerned firm’s websites, from company offices and from the website of Karachi stock exchange. Panel data is used for the purpose of evaluating the samples and to cater the dynamic situations. Return on equity is the dependent variable measured to evaluate the profitability of the organizations whereas the Average collection period, Cash conversion cycle and Operating cycle are the explanatory variables. This model was used before by Abuzayed [8]. y_it= α+X_it β+μ_it MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaaeyEaiaab+ facaqGPbGaaeiDaiaab2dacaqGGaGaaeySdiaabUcacaqGybGaae4x aiaabMgacaqG0bGaaeiiaiaabk7acaqGRaGaaeiVdiaab+facaqGPb GaaeiDaaaa@472E@ i= 1,.............., 38; t= 1,................., 5 MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaaeyAaiaab2 dacaqGGaGaaeymaiaabYcacaqGUaGaaeOlaiaab6cacaqGUaGaaeOl aiaab6cacaqGUaGaaeOlaiaab6cacaqGUaGaaeOlaiaab6cacaqGUa GaaeOlaiaabYcacaqGGaGaae4maiaabIdacaqG7aGaaeiiaiaabsha caqG9aGaaeiiaiaabgdacaqGSaGaaeOlaiaab6cacaqGUaGaaeOlai aab6cacaqGUaGaaeOlaiaab6cacaqGUaGaaeOlaiaab6cacaqGUaGa aeOlaiaab6cacaqGUaGaaeOlaiaab6cacaqGSaGaaeiiaiaabwdaaa a@5901@ i stands for the ith cross-sectional unit and t for the tth time period. y it MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamyEamaaBa aaleaacaWGPbGaamiDaaqabaaaaa@3906@ is performance measure (ROEit ) for the ith firm at time t, and α MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaeqySdegaaa@3794@ is the intercept. X it ' MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamiwamaaDa aaleaacaWGPbGaamiDaaqaaiaacEcaaaaaaa@3991@ is a 1 x K vector of observations on K explanatory variables for the ith firm in the tth period β is a K x 1 vector of parameters, it u it MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamyDamaaBa aaleaacaWGPbGaamiDaaqabaaaaa@3902@ is a disturbance term and is defined as u it = μ i + v it MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamyDamaaBa aaleaacaWGPbGaamiDaaqabaGccqGH9aqpcqaH8oqBdaWgaaWcbaGa amyAaaqabaGccqGHRaWkcaWG2bWaaSbaaSqaaiaadMgacaWG0baabe aaaaa@40DC@ Where μ i MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaeqiVd02aaS baaSqaaiaadMgaaeqaaaaa@38C5@ denotes the unobservable individual effects and v it MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamODamaaBa aaleaacaWGPbGaamiDaaqabaaaaa@3903@
denotes the remainder disturbance. The descriptions of three estimation models (i.e., pooled OLS, fixed effects and random effects) can be written for each component of working capital as below. RO E it = β 0 + β 1 ACP it + β 2 LEV it + β 3 SIZE it + ε it MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamOuaiaad+ eacaWGfbWaaSbaaSqaaiaadMgacaWG0baabeaakiabg2da9iabek7a InaaBaaaleaacaaIWaaabeaakiabgUcaRiabek7aInaaBaaaleaaca aIXaaabeaakiaabgeacaqGdbGaaeiuamaaBaaaleaacaqGPbGaaeiD aaqabaGccqGHRaWkcqaHYoGydaWgaaWcbaGaaGOmaaqabaGccaqGmb GaaeyraiaabAfadaWgaaWcbaGaaeyAaiaabshaaeqaaOGaey4kaSIa eqOSdi2aaSbaaSqaaiaaiodaaeqaaOGaae4uaiaabMeacaqGAbGaae yramaaBaaaleaacaqGPbGaaeiDaaqabaGccqGHRaWkcqaH1oqzdaWg aaWcbaGaamyAaiaadshaaeqaaaaa@5B78@ RO E it = β 0 + β 1 OC it + β 2 LEV it + β 3 SIZE it + ε it MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamOuaiaad+ eacaWGfbWaaSbaaSqaaiaadMgacaWG0baabeaakiabg2da9iabek7a InaaBaaaleaacaaIWaaabeaakiabgUcaRiabek7aInaaBaaaleaaca aIXaaabeaakiaabgeacaqGdbGaaeiuamaaBaaaleaacaqGPbGaaeiD aaqabaGccqGHRaWkcqaHYoGydaWgaaWcbaGaaGOmaaqabaGccaqGmb GaaeyraiaabAfadaWgaaWcbaGaaeyAaiaabshaaeqaaOGaey4kaSIa eqOSdi2aaSbaaSqaaiaaiodaaeqaaOGaae4uaiaabMeacaqGAbGaae yramaaBaaaleaacaqGPbGaaeiDaaqabaGccqGHRaWkcqaH1oqzdaWg aaWcbaGaamyAaiaadshaaeqaaaaa@5B78@ RO E it = β 0 + β 1 CCC it + β 2 LEV it + β 3 SIZE it + ε it MathType@MTEF@5@5@+= feaagGart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamOuaiaad+ eacaWGfbWaaSbaaSqaaiaadMgacaWG0baabeaakiabg2da9iabek7a InaaBaaaleaacaaIWaaabeaakiabgUcaRiabek7aInaaBaaaleaaca aIXaaabeaakiaabgeacaqGdbGaaeiuamaaBaaaleaacaqGPbGaaeiD aaqabaGccqGHRaWkcqaHYoGydaWgaaWcbaGaaGOmaaqabaGccaqGmb GaaeyraiaabAfadaWgaaWcbaGaaeyAaiaabshaaeqaaOGaey4kaSIa eqOSdi2aaSbaaSqaaiaaiodaaeqaaOGaae4uaiaabMeacaqGAbGaae yramaaBaaaleaacaqGPbGaaeiDaaqabaGccqGHRaWkcqaH1oqzdaWg aaWcbaGaamyAaiaadshaaeqaaaaa@5B78@ Where is the return on equity for the ith firm at the time t, is the average collection period of ith firm at time t, is the operating cycle of the ith firm at time t, is the cash conversion cycle of ith firm at time t.
Findings
[Table 1] It is obvious from the above results that average median and the return on equity are positive which 0.1354 is. Average median of the average collection period is positive with the return on equity which is 10.1649. Average median of the operating cycle is positive with the return on equity which is 64.2921. Average median of the cash conversion cycle is negative with the return on equity which is -29.1482. It is pertinent to mention that return on equity is measured as profit before taxation/ total shareholder equity. Average collection period calculated as trade debts/ (sales/360). Cash conversion cycle (measured as [average age of inventory + average collection period)-average payment period]. Operating cycle (measured as average age of inventory + average collection period).
Table 1: Descriptive Statistics

Variables

Observations

Mean

Std. Dev

Median

Maximum

Minimum

ROEit

185

0.1528

0.2644

0.1354

1.2984

-0.5149

ACPit

185

17.4681

18.2482

10.1649

85.4827

0

OCit

185

81.4683

62.8746

64.2921

370.4917

0.1171

CCCit

185

-121.4627

213.8462

-29.1482

279.1548

-934.5419

SIZEit

185

14.7129

1.4789

14.1872

16.4731

8.4771

LEVit

185

0.364

0.1721

0.4978

0.8179

0.0049

[Table 2] According to results of the above results it is clear that return on equity has positive link and correlated with average collection period, firm size and cash conversion cycle while it is negatively linked and correlated with leverage and operating cycle. Average collection period has positive link and correlated with return on equity, leverage, cash conversion cycle and operating cycle while it is negatively linked with size of the firm.

[Table 3] It is clear from the results of above table that the average collection period is positively associated with the return on equity but it is not significantly linked with the return on equity. It means average collection period crucial and has an impact on the performance of the organizations.

[Table 4] Results of the above mentioned table have shown a positive but insignificant link between the operating cycle and return on equity which shows its importance in the measurement of the organizational performance.

[Table 5] Results of the above table explores that cash conversion cycle has a positive and significant linkage with the return on equity in the textile sector of Pakistan.
Table 2: Correlation of Variables

Variables

ROEit

ACPit

SIZEit

LEVit

CCCit

OCit

ROEit

1

0.0069

0.0752

-0.1254

0.1684

-0.0245

ACPit

0.0069

1

-0.4484

0.1174

0.2729

0.4134

SIZEit

0.0752

-0.4484

1

0.0293

-0.4124

-0.3342

LEVit

-0.1254

0.1174

0.0293

1

-0.2154

-0.0602

CCCit

0.1684

0.2729

-0.4124

-0.2154

1

-0.5241

OCit

-0.0245

0.4134

-0.3342

-0.0602

0.5241

1

Table 3: Average Collection Period on Profitability (ROE)

Variable

Coefficient

Std. Error

t-Statistics

Prob.

C

-0.0754

0.2153

-0.3652

0.6784

ACPit

0.001

0.001

1.0039

0.2982

SIZEit

0.0221

0.0129

1.4983

0.1049

LEVit

-0.2043

0.1147

-1.9648

0.0471

R2

0.0314

 

 

 

Adjusted R2

0.0149

Mean dependent var.

 

0.1651

S.E regression

0.2641

S.D. dependent var.

 

0.2642

F-statistics

1.9754

Probability (F-statistic)

 

0.1071

Table 4: Operating Cycle and Profitability (ROE)

Variable

Coefficient

Std. Error

t-Statistics

Prob.

C

0.0078

0.2284

0.0354

0.9604

OCit

6.02E-05

0.0002

2.7465

0.8541

SIZEit

0.0149

0.0125

1.2342

0.2058

LEVit

-0.2009

0.1154

-1.8472

0.0569

R2

0.0257

 

 

 

Adjusted R2

0.0112

Mean dependent var.

 

0.1547

S.E regression

0.2542

S.D. dependent var.

 

0.2623

F-statistics

1.4872

Probability (F-statistic)

 

0.171

Table 5: Cash Conversion Cycle on Profitability (ROE)

Variable

Coefficient

Std. Error

t-Statistics

Prob.

C

-0.2296

0.2184

-1.0821

0.2644

CCCit

1.00E-04

9.86E-05

2.7841

0.0041

SIZEit

0.0289

0.0115

2.3954

0.0164

LEVit

-0.1148

0.1184

-1.1199

0.2508

R2

0.0597

 

 

 

Adjusted R2

0.0529

Mean dependent var.

 

0.1628

S.E regression

0.2549

S.D. dependent var.

 

0.2778

F-statistics

4.4687

Probability (F-statistic)

 

0.0043

Control Variables on Profitability (ROE):
Leverage and size of the organizations are the controlled variables of the data and it is obvious that leverages are the borrowings and debts of the organizations therefore they are negatively associated with the return on equity in the textile sector of Pakistan. Organizations should work to reduce their leverages to reduce their negative impact on the profitability of the organization. Size of the organizations are positively associated with the organizational performance.
Conclusion
Findings of the research explored that working capital of the organizations have a significant impact on the performance of the organizations in the textile sector of Pakistan. Average collection period, cash conversion cycle and operating cycle are positively associated with the performance of the organizations which means that they are affecting the profitability of the organizations significantly.

Management of the organizations should realize the importance of the working capital and they must manage their working capital efficiently and effectively. Size of the organizations also impact the performance of the organizations therefore management should take great care while making strategies and developing policies regarding management of the working capital of the organizations. This research study has focused on the textile sector of Pakistan whereas other sectors can be handed in future. The results are based on the five year data (2008-2012) available in the annual reports and websites whereas in future data of more years can be utilized for better understanding.
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