The relationship between capital Structure and Corporate Performance of Pharmaceutical accepted in the Tehran stock exchange

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AENSI Journals Advances in Environmental Biology Journal home page: http://www.aensiweb.com/aeb.html The relationship between capital Structure and Corporate Performance of Pharmaceutical accepted in the Tehran stock exchange Seid Hessam-aldin Hedayatzadeh Department of Management, Faculty of Humanities, Urmia University, Urmia, Iran ARTICLE INFO Article history: Received 4 September 203 Received in revised form 22 October 203 Accepted 5 October 203 Available online 4 November 203 Keywords: capital structure, function, data envelopment analysis (DEA) ABSTRACT Study, the relationship between capital structure and performance of the listed companies on Tehran Stock Exchange (drug industry) has been studied to help DEA Technique at period 387 until end year 389 that a total of 22 companies were selected for review in the Tehran Stock Exchange as sample. To determine the performance level of companies using data envelopment analysis, then use panel data test has been determined the relationship between measured performance and capital structure. Results from the survey data showed that there is not significant relationship between capital structure and performance. 203 AENSI Publisher All rights reserved. INTRODUCTION Maximize value requires the selection of an optimal capital structure, the World Today according to competitive market conditions, is essential determining the appropriate financing method for increasing the efficiency and profitability and corporate survival.also investors according to separation of ownership from management, requires extensive financial resources in companies and also interest holders of financial resources to use their resources for rising wealth they analyze corporate performance and their capital structure until achieve to correct investment. Statement of the problem: The combined financial resources various each company, is called capital structure (primarily Qalibaf, 384). In review the capital structure of companies are trying to the combination of various financial resources their use be explained in the financing activities and investments needed. Also can be said that purpose of determining the capital structure is determine the combination of financial resources each Company in order to maximize the wealth of its shareholders. Because since the cost of company capital be considered a function of the its capital structure [], optimal choice of capital structure causes reduce the company's cost of capital and increase market value [8]. Also performance has been important for researchers always because its importance in evaluating performance decision (DMUs Decision Making Units) or organization. Data Envelopment Analysis (DEA) a mathematical programming,is for performance evaluation of decision making units that have multiple input and multiple output [5]. In this study, we're looking for verification this issue that is there a relationship between capital structure and corporate performance or not? Also this study is intended to determine, Is it possible provide an optimal capital structure for industries used in research? In other words, Is it possible determine the proportion of debt and equity that maximizes the performance or not? Necessity: Determine the optimal capital structure is one of the major problems finance companies. This issue an important application is in the field decision making about finance current operations and plans investment companies. Due to lower debt securities risk; also expected returns creditors is less than expected return on shareholders. So up to certain whatever extent of use of more debt to finance, the total capital cost of the company is less and profitability and efficiency is more.nevertheless with the increase in debt, increases financial risk and thus creditors are demanding higher interest rate. In this situation, increases the total capital cost.the result optimal Capital Structure must exist between the two levels of financing (equity and debt). In recent years Iranian companies in some cases without regard to capital structure optimization have attempted to Corresponding Author: Seid Hessam-aldin Hedayatzadeh, Department of Management, Faculty of Humanities, Urmia University, Urmia, Iran.

3389 Seid Hessam-aldin Hedayatzadeh financing of certain methods that has had a negative impact on their activities. Increasing number of homeowners, differences in equity ratio and ratio debt texture and their composition affected how finance company and causes changes in company's performance. Therefore in this study, according to expressed needs, we review the relationship between capital structure and corporate performance and we rank companies based on performance and a company placed as a model for other companies to their close to performance level of enterprises. Background research: Khajavi and colleagues (389) in their study titled DEA Technique were introduced additional for traditional financial ratio analysis data coverage analysis techniques that using this technique, have resolved problem analysis financial Statements and difficulty determination the results of the analysis of different financial ratios. In this study, is used BCC model and input Shaft and Financial Statements 267 companies listed the analysis has been384-86 for the period. The results of the research findings are that DEA can be a good complement for traditional analysis of financial statements by using financial ratios. Jhanshad and colleagues (388) performance of listed companies in Tehran Stock Exchange examined by using DEA and related to stock returns. In this study, by using DEA Model that is a mathematical method for nonparametric it measures the relative performance of companies; amount relative performance companies in the cement industry and current mine. It was measured in the Tehran Stock Exchange and using the regression analysis, was examined contact numbers of technical efficiency the company has an annual stock returns during the period 382 to 386. Results showed that in the above companies there is a relationship between these two series mentioned variables. Islami biddgoly and Mazaheri (388) by examining data from 279 companies over five years assessed hierarchical theory and static parallel.their observations showed that theory parallel static is true largely about capital Structure Iranian companies. Whereas compliance Iranian companies with theory of hierarchical is not confirmed in the finance. De Angelo, H. et al. [0] Information companies studied companies 4 different industry studied from 998 to 200. They found that companies studied with deliberate release of short-term debt securities, temporarily, distances are of the optimal debt ratio. Based on they presented a dynamic model for capital structure In the different industries the release and pay back the debt securities described better than parallel model is static. According to this model, ratio debt is adjusted gradual and approaches than optimal debt.but at a certain ratio, does not remain constant. Chakraborty [7] component of the capital structure of the Company in Hindi be analyzed by using a panel data model during the years 995 to 2008 including 69 listed companies at the Bombay Stock Exchange. His findings indicate that three different theories capital structure, hierarchical theory and parallel static theory, are capable description of Capital Structure companies to Hindi. However, there is little evidence based on confirm the theory of agency costs. MATERIALS AND METHODS Scientific research is a systematic attempt to answer the specific questions to be solved. This study examined the relationship between capital structure and corporate performance, the following hypothesis is proposed: The main hypotheses: There is a significant relationship between capital structure and corporate performance. Sub-hypotheses: - There is a significant relationship between ownership ratio and corporate performance. 2- There is a significant relationship between leverage and corporate performance. Using studies of the effect of capital structure on performance variables affecting pharmaceutical companies used in the models () and (2). Y =C +B x +U () Y 2 =C 2 +B 2 x 2 +U 2 (2) The dependent variable in this study is variable performance so, is estimated by using data envelopment analysis. In this study, the use of multiple input and output variables, calculates the performance of companies and the companies we work apart from the inefficient. Independent variables include: ) The equity ratio is the ratio of capital structure and is equal to equity to total assets: E/TA = the equity / stock

3390 Seid Hessam-aldin Hedayatzadeh 2) The debt ratio is another ratio of capital structure and is equal to debt to total assets: D/TA = Debt / Total Assets Present study in terms of Purpose practical and the aspect how of data collection has explanatory and then event. Beginning to derive theoretical of library and then using data collected and to help software WinQsb2 obtains performance of pharmaceutical companies and the software Eviews is performed the relationship between structure and corporate performance and finally to help conventional statistical indicators (Test F, Hausman and random effects) the analysis is results. To determine the input and output variables is used interviews and expert opinion. A casual survey of and drug companies, clock showing 89-87 years observed in the data set has compiled in the financial statements. The population in this study is of listed companies in Tehran Stock Exchange that are operating in the drug industry. 22 pharmaceutical companies as samples are taken from early 387 to the end of March 389 in Tehran Stock Exchange have presented its shares and is available their financial information. Essential features DEA model: Using the model of DEA, to assess the relative is units of Khajavi et al, [5]. Requires the two basic characteristics, the nature and pattern of returns to scale models that describe them: -Nature (comments) Arrival: If the assessment process, with constant output level, we try to minimize the inputs, the nature of the model used and input. 2-The nature (exit point): If the evaluation process with constant input level, we have tried to increase the output level, the nature of the model output is used. Returns to scale model is used: Returns to scale is an association between changes in inputs and outputs of a system. One of the strengths of DEA method, use different patterns corresponding to different scales yields and also efficiency measure is the scale units. A) Constant returns to scale: Each of the multiple input multiple outputs it produces. Model CCR, is assumed constant returns to scale units. So, small and large units are compared. B) Scale output variable: Model BCC, hypothesized that variable returns to scale. After evaluating corporate performance through DEA (input oriented CCR model) using software WinQsb2 the schedule is as follows: Table : Performance of Pharmaceutical Companies. Companies Name Performance 87 years Abidi 0.677 Aboureihan 0.6245 Alborz drug Amin 0.7543 Damlran Exir 0.654 Farabi 0.7973 Iranian drug Jabir ibn Hayyan 0.952 Kimi drug 0.762 Kosar 0.6423 Luqman 0.6422 Osveh 0.94 Pars drug Razak Medicinal Chemistry Daroupakhsh Sinai drug Sobhan 0.95 Iran Parenteral Tehran drugs Tehran Chemistry 0.854 Zahravi Performance 88 years 0.808 0.686 0.7867 0.988 0.5864 0.5625 0.557 0.827 0.8244 0.9482 0.9249 0.9683 Performance 89 years 0.8 0.8738 0.5529 0.9337 0.992 0.7084 0.5737 0.4475 0.7596 0.8703 0.8799 0.926 0.7729 Also, the relationship between firm performance and capital structure (equity and debt ratio) is obtained through the panel data and Tests F, Hausman.

339 Seid Hessam-aldin Hedayatzadeh Table 2: Pattern of Reference drug companies. Companies Name Reference Model 87 Abidi Alborz drug - Iran drug Aboureihan Alborz Amin Damlran Exir Farabi Iran Jabir ibn Hayyan Kimi Kosar Luqman Osveh Pars Razak Medicinal Chemistry Daroupakhsh Sina Sobhan Iran Parenteral Tehran Tehran Chemistry Zahravi Alborz - Iran - Pars - Chemistry - Injectable products - Zahravi Alborz - Pars - Chemistry - Injectable products Damlran - Pars - Razak Alborz - Pars -Razak -Zahravi Alborz - - Zahravi Alborz - Pars - Injectable products - Zahravi Sina - Zahravi Pars - Zahravi Pars -Tehran -Zahravi Reference Model 88 Abidi - Iran - Pars - Tehran Abidi - Damlran - Iran - Abidi - Damlran - Iran - Pars Razak Abidi - Pars -Sina Pars - Razak - Sina - Tehran Abidi - Alborz - Sina Alborz - Sina Reference Model 89 Damlran - Pars - Razak - Sina drug Pars - Razak - Sinai Iran - Pars - Sina Damlran - Pars - Razak -Sina Damlran - Pars - Razak Pars -Sina Iran - Pars - Sina Pars - Chemistry - Sina Pars - Chemistry - Sina RESULTS AND DISCUSSION In this study, DEA method is used to measure the performance of software WinQsb. Test to measure the company's performance will be reviewed Abidi, for example 89 years. Objective Function Abidi firm performance is measured and found to be in 89 years that the company is efficient or inefficient. Examination of the relationship between equity and debt variables (X and X 2 ): The relationship between the ratios of debt to equity ratio (Independent variables) performance (the dependent variable) proceed to examine the relationship between equity and Debt ratio variables (X and X 2 ) To clarify the relationship between the two, then we check the relationship between relative equity performance and also debt ratio with efficiency. Hypothesis testing: H 0 :β = 0 Sig 0.05 Equity ratio and Debt ratio, there is no relationship between the two variables H: β 0 Sig < 0.05 Equity ratio and Debt ratio is the relationship between two variables Table 3: The relationship between two variables and the equity ratio Debt ratio. Ownership ratio Person correlation Sig. (2-tailed) N debt ratio Person correlation Sig. (2-tailed) N **Correlation is significant at the 0.0 level (2-tailed) Ownership ratio - 0 debt ratio - 0 As a result, as shown in the above table is 20.05 sig background H 0 is accepted and there is a relationship

3392 Seid Hessam-aldin Hedayatzadeh between two variables, the debt equity ratio and therefore can be examined separately in relation to each of the performance variables namely beginning investigated the relationship between ownership of the performance and then connection with the performance of the debt. Test concerning the first hypothesis: To test the first hypothesis first, should F test is performed there are two modes: prob 0.05 F test = prob < 0.05 If prob 0.05, test is common effect and Tests will end and if prob<0.05, test is random or Fixed so it should determine the Hausman test. Table 4: Test F (F-test). 0.0075 0.0002 2.43 2 2.4004 5.9732 Cross-Section F Cross-Section Chi-Square According to the table, since Prob = 0.00752% 5 Fixed or Random testing should do is to recognize that we use the Hausman test. Table 5: Hausman test. 0.23.550535 Cross-Section random Given that in the Hausman test we have prob=0.23 0.05, Random testing is acceptable and should do this test to get the result in the next stage. Table 6: Test for random effects. 0.000 0.230 Dependent Variable: Performance T statistics 6.9650 -.257955 Coefficient 0.94275-0.86990.709955.568955 0.2496 Variable C Ownership Ratio Durbin-Watson state F-static Prob(F-static) For intercept, since we have prob=0<0.0, so it is significant. Equity ratio is negative (B = 0.8699) the opposite effect on the performance be added to the ownership of the unit is much less efficient units -0.86990 but given that Prob it is greater than 0.05, the effect is not so significant as to call it there is a significant relationship between equity and efficiency ratios. Tests concerning the second sub-hypothesis: According to the explanation given above, the F test for the second hypothesis do that has been in Table 7. Table 7: F-test. 0.0075 0.0002 2.43 2 2.4004 5.9732 Cross-Section F Cross-Section chi square According to table Top since Prob = 0.0075 so the Hausman test is performed to determine whether the test is confirmed Fixed or Random. The result has been In Table 8: Table 8: Hausman test. 0.23.550535 Cross-Section Random Given that is prob=0.23 0.05, Random testing is accepted and used the random effect:

3393 Seid Hessam-aldin Hedayatzadeh Table 9: Random test. 0.000 0.23 Dependent Variable: Performance T statistics 7.64643.257955 Coefficient 0.754285 0.86990.709955.568955 0.2496 Variable C Ownership Ratio Durbin-Watson state F-static Prob(F-static) Variable C is significant because prob=0<0.05 and Given that debt is B = 0.8699 it has a direct impact on the performance with the addition of unit to the debt ratio, the efficiency increases as 0.8699 but Given that it is greater than 0.05 Prob not much impact that Call it significant. Conclusion: Our goal in this study is to investigate the relationship between capital structure and efficiency of pharmaceutical companies listed in Tehran Stock Exchange. To achieve the goal, and theoretical studies were examined and its main indicators. There is no significant relationship between equity and efficiency of pharmaceutical companies accepted in Tehran Stock Exchange because the tests the result of these tests, the probability of 0.230 which is greater than 0.05 namely not significant at the 95% level. Equity ratio is negative (B = -0.8699) it has less impact on performance. Using the Shareholders Equities despite an increase in the expected return on shareholders, ultimately it will increase the cost of capital so for this reason makes the reducing assets. There is no significant relationship between asset the results were calculated as Prob 0.230 which is greater than 0.05. Debt ratio is positive (B2 = 0.8699) which is less positive impact on performance. Using the debt (bank credit facilities) it is cheaper than equity and will cause increased participation and the resulting increase in shareholder wealth and ultimately increase performance. Parent company the Using the appropriate policies and inputs to attain high performance (efficiency = ) Companies were as efficient as therefore, they follow inefficient firms efficient firms the use of their inputs or outputs (High grade raw materials, labor, skilled labor, technology, new devices) to finally increase their efficiency. REFERENCES [] Bagherzadeh, S., 382. Explain the pattern of capital structure of listed companies in Tehran Stock Exchange, Financial Research Quarterly, Year, 6. [2] Banker, R.D. and R.M. Thrall, 992. Estimation of Returns to Scale Using Data Envelopment Analysis, European Journal of Operational Research, 62: 74-78. [3] Basso, A. and S. Funari, 200. A Data Envelopment Analysis Approach to Measure the Mutual Fund Performance, European Journal of Operational Research, 35: 477-492. [4] Bowlin, W.F., 999. An Analysis of the Financial Performance of Defense Business Segments Using Data Envelopment Analysis, Journal of Accounting and Public Policy, 8: 287-30. [5] Bowlin, W.F., 2000. Measuring Performance: An Introduction to Data Envelopment Analysis (DEA), http://llans.panam.edu/edu/8305/papers/intotodea.pdf, 3-25. [6] Brounen, D., A. de Jong and K. Koedijk, 2006. "Capital Structure Policies in Europe: Survey Evidence", Journal of Banking & Finance, 30(5). [7] Chakraborty, A., 200. Mechanical Stress and Circuit Aging Aware VLSI CAD, THE UNIVERSITY OF TEXAS AT AUSTIN, December 200. [8] Charnes, A., W.W. Cooper and E. Rhodes, 978. Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2: 429-444. [9] Coelli, T., D.S.P. Rao and G.E. Batteseo, 998. An Introduction to Efficiency and Productivity Analysis, Kluwer academic publisher. [0] DeAngelo, H., L. DeAngelo, Toni M. Whited, 20. Capital structure dynamics and transitory debt, Journal of Financial Economics, 99: 235-26. [] Eslami, B., M. Mazaheri, 388. Theories of parallel static and hierarchical structure in explaining the company's capital in Tehran Stock Exchange, Journal of Accounting and Auditing, First Year, 3. [2] Ghalibaf Asl, H., 384. Financial Management Concepts and Applications, second edition, Tehran: publication of Poran Pajohesh. [3] Haslem, J.M. and C.A. Scheraga, 2003. Data Envelopment Analysis of Morningstar's Large-cap Mutual Funds, The Journal of Investing, Winter, 4-48. [4] Jahanshad, A., Z. Porzamani, S. Eyngholaee, 388. Forecasting economic and financial situation of companies using financial ratios based on earnings, cash flow and growth, Journal of Financial Accounting and Auditing, (3): 93-5.

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