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Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Issue Info: 
  • Year: 

    2005
  • Volume: 

    11
  • Issue: 

    38
  • Pages: 

    3-28
Measures: 
  • Citations: 

    5
  • Views: 

    2208
  • Downloads: 

    0
Abstract: 

Accountability of organizations is accomplished through performance evaluations, reports or operational audits. One of the important part of performance evaluation is efficjency measurement. The efficiency evaluation of the bank branch is accomplished differently in the fields of accounting, economics and management. Hence, if the result obtained from the application of different methods are different, selection of an appropriate methods will gain importance. In the present study the efficiency of 142 branches of Tejarat Bank was evaluated employing the three methods of DEA / SF A and ACC. A dual comparison of rankings performed by the above three methods revealed a significant difference between the current ranking of the above bank and those obtained in the present study. Furthermore among the three models applied, DEA was found to be the most appropriate model for evaluating the efficiency of organizations.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

SAGHAFI A.A. | HASHEMI S.A.

Issue Info: 
  • Year: 

    2005
  • Volume: 

    11
  • Issue: 

    38
  • Pages: 

    29-52
Measures: 
  • Citations: 

    25
  • Views: 

    2818
  • Downloads: 

    0
Abstract: 

Predicting of cash flows is important for internal and external users of financial reports. Providing the information for cash flows prediction is primary objective of financial reporting. Standard setter bodies in conceptual framework and objectives of financial reporting, assert thatinformation about earnings and its components is a more predictor of future cash flows. This study try to find a model for predicting operating cash flow of the firms. Based on economic, finance, and accoupting theories we developed three models, with variables of 1) aggregate earnings, 2)cash flow and aggregate accruals, and 3) cash flow and components of accruals, for predicting operating cash flow. We tested the hypotheses of the study by using a 71 companjes sample that was categorized into six groups. The findings of the study reveals that there is a significant relation between operating cash flow and earnings and its components. Based on the analysis of the data at companies level, all of the coefficients of the variables in the three" models were significant. At the groups level, all of the coefficents of the variable of the first two model were significant, but some of the coefficients of the variables of the third model were not significant.Generally, our findings are in consistent with this theory that earnings and its component have predictive ability in predicting operating cash flow, and also with this theory that earnings have more predictive ability for future cash flows than cash flows is also cnsistent.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

MOJTAHEDZADEH V. | AGHAEI P.

Issue Info: 
  • Year: 

    2005
  • Volume: 

    11
  • Issue: 

    38
  • Pages: 

    53-76
Measures: 
  • Citations: 

    9
  • Views: 

    5198
  • Downloads: 

    0
Abstract: 

This research attempts to identify the factors influencing independent audit quality from the approach of users and independent auditors. Thus by referring to auditing text and literature, generally accepted auditing standards, auditing statements and the environmental factors of the country (Iran) 28 factors were identified. The necessary information and data has been gathered using a questionnaire. The statistical community consisted of two groups: users of auditing services including management ( top specialists) of investment companies and bank credit managers (top specialists) , besides independent auditors including auditing companies partners, top managers and technical managers of the auditing organization. The research"s hypotheses have been classified into two parts: A and B. the part "A" hypotheses have been designed in relation with the twenty-eight identified factors influencing independent audit quality. These have been tested using the binomial method with the confidence interval of 0/05. Results have showed that respondents have laid greater emphasis on twenty-four of these factors. In group B the hypotheses have been designed in relation with differences between views of users and independent auditors ( Inter- group), differences between views of independent auditors (Intra-group) and differences between views of users (Intragroup). The results which have been tested using the Chi- Square method of statistical analysis with the confidence interval of 0/05 , have showed that in most cases there is not a" meaningful difference among the views.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    2005
  • Volume: 

    11
  • Issue: 

    38
  • Pages: 

    77-92
Measures: 
  • Citations: 

    20
  • Views: 

    2204
  • Downloads: 

    0
Abstract: 

The potentinal role of predictive value of certain information in predicting stock returns have been the main issue that motivated researchers the make studies in order the find out about variables having significant relation to stock returns. These kind .of information content variables could be classified into two categories, financial and nonfinancial. The results of most type of these studies made. by different researchers show that both financial and nonfinamcial information have significant effects on stock retrns. This paper also examines the relationships of stock returns and of both financial and nonfinancial measures. In this study six financial and nonfinancial variables have been selected tp examine their relationship with stock returns. In a cross-sectinal study we seleted all of the companies-listed in Tehran stock Exchange during a two years period of 1381 and 1382 as our samples. We made use of mean return, regression and correlation of the variables the stock returns in order the test our hypotheses. The results of our study, as well as previous researches" results, show that there is significant relationship between financial and nonfinancial variables and of stock returens. The results also show that the winner firms have more returns than that of loser ones

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

NAMAZI M. | KHAJAVI SH.A.

Issue Info: 
  • Year: 

    2005
  • Volume: 

    11
  • Issue: 

    38
  • Pages: 

    93-120
Measures: 
  • Citations: 

    14
  • Views: 

    3212
  • Downloads: 

    0
Abstract: 

The main goal of this article is to investigate the usefulness of accounting variables in assessing the systematic risk in accepted corporations in Tehran Stock Exchange. In order to achieve this goal, 40 firms with available information in a period of 11 years (1370-1380) were chosen. Then, the information regarding 17 independent variables were gathered and the systematic risk was measured as the dependent variable. Two statistical techniques, simple regression and multiple regressions, were used to test the hypothesis and finally, "backward elimination method" was employed to find the optimum model. The significance of the models was tested according to T - Test and F-test. To assure the lack of autocorrelation between the variables and residuals, the Durbin- Watson test was used and the results of the achieved model were compared with other selected variable methods such ,as "forward selection" and "stepwise regression technique". By using simple regression analysis, the results showed that, there is a significant relationship between financial leverage, operation leverage, current ratio, debt ratio, return on asset and the systematic risk. With respect to the design of the model, it was concluded that among the 1 7 predicted variables, 8 variables remaining in the last step of the backward elimination method, accounted for more than %85 of variations of the systematic risk.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Author(s): 

NOURAVESH I. | HEYDARI M.

Issue Info: 
  • Year: 

    2005
  • Volume: 

    11
  • Issue: 

    38
  • Pages: 

    121-152
Measures: 
  • Citations: 

    5
  • Views: 

    2078
  • Downloads: 

    0
Abstract: 

To the expansion of capital markets, the role of performance measures in firms" performance reflection also has been bolded by their information content. In this middling, researchers have considered the competition between two group of performance measures, that is, traditional measures and value-based measures, in justifying stated firms performance. In this research, firstly, We want to show that in the selected industries, cash value added(CV A) in explaining annual stock return relative to operating profit(OP) and operating cash flow(OCF) is superior then, We will examine reasons and conditions made firms performance in each industry is good or bad The time period and number of samples respectively is 1378-1382,110 company in four industry: Nutrition, Chemical, Automobile and nonmetal minerals. Current research results show: 1. the among four industry, two industry performance of Automobile and non- metal minerals were good, and in level of the selected firms totals is too. 2. by the exception of Chemical and Automobile industries, the existence of significant relation between cash value added and annual stock return, in other industries and in level of the selected firms" totals verified

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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