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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: International Journal of Finance and Managerial Accounting
- نوع مقاله: Journal Article
- کلمات کلیدی: Tehran Stock Exchange,Financial Transparency,Corporate Earnings
- چکیده:
- چکیده انگلیسی: The aim of the present research is to determine the effects of financial information transparency and composition of board of directors on forecast accuracy of corporate earnings in companies. A corporation's key for success is hidden in its optimal direction. So it can be claimed that the secret of the eternal reputation of popular corporations lies in their efficient board of directors. One of the significant components of important economic decisions of investors and of the optimal features of competitive markets is better and further information disclosure, especially the one which is specific to a certain corporation. Essential information disclosure facilitates quick transactions which are the principle determinant of a corporation's capacity. Earning forecast by managers and its characteristics is a sign of presenting managers' private information or confirming their claims. This sign helps investors to realize the relationship between managers' forecast and future earnings better and predict stock price more accurately. Therefore, the main objective of the present study is probing into the effect of transparency of financial information and board composition on forecast accuracy of corporate earnings in companies in Tehran Stock Exchange by examining a sample of 498 firm-year data over the period between 2006 and 2011. In order to test each of the research hypotheses, multivariate regressions were conducted using SPSS18. Testing the hypotheses showed that financial information transparency is not effective on forecast accuracy of corporate earnings. However, the composition of board of directors had a meaningful negative impact on forecast accuracy of corporate earnings. Besides, the research findings showed that among control variables tested in the research model, financial leverage had a negative significant relationship and company size did not have a significant and positive relationship with forecast accuracy of corporate earnings
- انتشار مقاله: 17-01-1397
- نویسندگان: Asgar Pakmaram,Jamal Bahri Sales,Sara Leqaeian
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Mathematical Finance and Application
- نوع مقاله: Journal Article
- کلمات کلیدی: Internal Controls Quality,Internal control weaknesses,Characteristics of the Econom-ic Unit,Characteristics of Auditor,Ogneva Model
- چکیده:
- چکیده انگلیسی: According to the domestic studies conducted on in the field of internal controls, the gap of providing models for identifying weak internal controls is felt completely. The present study is aimed at providing a model for assessing the quality of internal controls based on the characteristics of the economic unit, the characteristics of auditor as well as their expected goals in the Firm's listed in Tehran Stock Exchange. This model is designed according to quantitative criteria. To achieve the research’s goal, 86 Firm's from all Firm's accepted in Tehran Stock Exchange for the period 2012-2017 were selected and the research hypothesis was tested using the combined data approach. Given the research hypothesis that points out that the internal assessment model based on the characteristics of the economic units, the characteristics of auditor and their expected objectives may more accurately assess the quality of the internal controls, according to the significance level of less than 0.05, the independent variables indicate a significant relationship between the internal controls assessment model based on the characteristics of the economic units, the characteristics of auditor and their expected objectives as well as the weaknesses of the internal control of the Firm. Furthermore, the estimated coefficient of the control variables of the research indicates a significant relationship between these variables and the weaknesses of the internal controls.
- انتشار مقاله: 02-06-1399
- نویسندگان: Saeed Alipour,Asgar Pakmaram,Rasool Abdi,Jamal Bahri Sales
- مشاهده