مجله بررسی های حسابداری
پیاپی 6 (بهار 1394)

In many companies, the assembly approves the percent of the dividend based on the company reported earnings. While it seems that the auditor's comments reflected in Adjustment clauses independent audit report are not given enough attention. So, it is expected that using this research, we could study the explanatory power of earnings per share according to the adjustment clauses independent audit report on cash dividends. For this goal, we consider the Tehran stock exchange related data between 1382-1391 and use pooled data regression method. Among all attended companies, about 70 companies are selected as the statistical sample. The results of this research verify the significant negative effect of the earnings per share (EPS) determined by the company on interest payments, due to the effects of the adjustment clauses independent audit report (as a variable which moderates the relationship between EPS determined by the company and the earnings per share etermined by assembly). These results also indicate that the effect of this variable is not significant on the relationship between the earning per share determined by the company and Dividend per share.

In this paper earning quality of listed banks in Tehran Stock Exchange has been examined from two perspectives; earning persistence and predictability of cash flows in general and future loan write-offs for banks. The relationship between the effect of institutional factors and earning quality of those banks is studied too. The studied factors consist of legal, extra-legal and political factors and our selected banks include 10 banks during 1388-1393 time period. The Statistical method of this research is panel regression. The method was selected since authors, unlike prior researchs, wanted to control and examine time and cross sectional effects. The findings show that improvement of extra-legal and political factors is significantly related to earning quality promotion. Comparison of gained results with international findings shows consistency between those factors and the findings, although legal factors are excluded from this rule.

According to agency theory, auditing plays an important role in leading opportunistic behaviors of managers. In this research, we examined the audit quality including size of audit enterprise and how they influence the relationship between free cash flow and the quality of financial reporting. Therefore, Tehran Stock Exchange data were extracted for the period of 1386 to 1392 and the hypotheses were tested with a regression model. The results show that there is a significant negative relationship between the quality of auditing, free cash flow and the quality of financial reporting. Also, the result showed that the relationship between free cash flow and the quality of financial reporting is more meaningful and negative when CPA firm size increases. Managers willing to invest free cash flows in projects with personal gain did not follow the foreseen procedures and even ignored negative net present value projects. Total investment of some activities may have a positive ROI, but ROI is less than the cost of capital.

The Present study investigated behavioral variables affecting investment decisions on major investment styles (fundamental, technical, other techniques) in Stock Exchange. In this study, we sought to answer the extent decision-making buying and selling shareholders investing in different styles are influenced by behavioral variables. The required data were obtained through questionnaires. The Samples included 287 stockholders obtained through random sampling. t-test and Anova were used to test the hypothesis. The results indicated that behavioral factors affected the investment decisions in all investment styles and no significant difference was observed in the behavioral effects of variables on shareholder investment decisions according to their investment style.

The main objective of this study was to evaluate the effect of firm growth on the relationship between discretionary accruals and future performance of the company. For this purpose, a sample of 84 companies via was selected the systematic elimination of the firms listed in the Tehran Stock Exchange during the years 1392 to 1384. In this study, to determine the non-discretionary and discretionary accruals sections Jones, model (1991) was used to determine the future performance, cash and net profit were used in the coming year. Then the research hypotheses were tested using the regression model panel data. The results showed that the overall firm growth does not have an impact on the relationship between discretionary accruals and future performance of the company. But in the companies with high growth the impact is greater than other companies use of positive discretionary accruals, to reflect the desirable performance of the firm (transfer good news). And positive discretionary accruals include information content.

Investors always look for information about investment options for favorable investment and optimum resource allocation. One of the most important information pieces which can help investors in this regard is corporate bankruptcy prediction. A considerable number of researchs have been conducted in bankruptcy prediction field. “Financial ratio” and “corporate size” were addressed as effective factors of corporate bankruptcy variables in most studies. The objective of this paper is to introduce “CEO task duality”, “Institutional Stock Ownership”, and “conservativeness” variables as effective variables on power of bankruptcy prediction models in order to open new research fields. In this study, “Earning per Share (EPS)” is used as criteria for the first time to measure corporate financial performance and, accordingly, bankruptcy. Statistical population consists of 90 listed corporates in Tehran Stock Exchange. Total number of 45 weak and 45 strong corporates were examined. To examine the research hypotheses, Logit model is used. Research results show that adding corporate governance variables and conservativeness raises model prediction accuracy.