The Financial Accounting and Auditing Researches
Year:2014 | Volume:6 | Issue:22|Papers Count:8

This paper investigates the relationship between the board of directors' characteristics and audit firms' selection in companies listed in Tehran Stock Exchange. A sample of 77 companies in the total level and the level of industries were examined. In addition, a Binary classification has been used to split the audit firms into Audit Organization and other audit firms.The present study considers the percentage of non-bounded board members, educational degree, duality and changes in members as the corporate board's attributes.Binary Logistic regression has been applied to test the research hypothesis at α= 5%.The results indicate a significant relationship only between the educational degree and the audit firm's selection, and therefore no significant relationships were found for the other attributes.

This study aims to investigate the extant preventives in determining price of shaves by using artificial nerve network in metal and mineral industries companies accepted in Tehran Securities Exchange.We applied two statistical analysis and nerve network methods for examination of hypnotizes. A questionnaire was created for statistical analysis method and statistical society including senior experts of securities exchange course and instructors from Tehran Azad University, who are familiar with the concepts of nerve network and also forecasting shares prices. The research hypnotizes were dealt with use of t test and score, ultimately all hypnotizes were approved.In the nerve network, the assumptions of research were studied by the use of nerve network and after the distribution of the error and Market-Loren berg educational model and it was determined that while all the indexes were entered into the network as input, the for forecasts of prices do not enter into the network as precisely as the indexes do enter. Also, the rate of network error was increasing.The results of nerve network corresponded with the results of statistical analysis. In other words, in both methods, the indexes have been marked as obstacles for forecasting the shares prices by the use of nerve network method.

 In recent years the attention of many researchers, students and professors of accounting has been attracted to the professional judgment of auditors. This attention, expresses the importance of professional judgment. Though identifying the factors that are influential on professional judgment can make a great help to independent auditors. One of the important factors that could affect the professional judgment is skepticism(skepticism orientation). The purpose of this research is to investigate the relationship between skepticism indexes and independent auditors' professional judgment in audit institutions of Iran certified accountants' society. This study, uses Hurtt et al modified questionnaire and 150 independent auditors' opinions as a sample survey. The results indicate that in audit institutions of Iran certified accountants' society, there is a positive and significant relation between skepticism and professional judgment.

The time that information provided, determined the usefulness of information and timely disclosure of information, protect investor about poor news. That may be change firm future prospects completely. In this research we studied the determinant of the timeliness of financial reporting in Tehran stock exchange.We applied Quasi-Empirical approach and descriptive-correlation methods to test there search hypotheses. Also we used multivariate regression models about this. The results of this study show that in this period we have a negative relationship among between firm’s size, audit opinion, management change, and percentage of institutional ownership with Audit delay. Also, we have been finding out positive relationship between internal auditor existence, number of shareholders, and non ordinary items with Audit delay. Indeed this research provided evidence about corporate governance power for explaining Audit delay and timeliness of reporting too.

In this research, the changes of financial accounting standards of Iran and their impacts on accounting information quality of 104 companies listed on Tehran security exchange are studied. The value relevance, forecast error, forecast dispersion, earning persistence and earning quality are the metrics for information quality measurement. Standards amendments and revisions from 1999 to 2009 are studied so that a multi variable regression model based on time series data was designed to test each hypothesis.The findings evidenced that the changes of standards caused some enhancement in earnings quality but its positive affect on the other 4 measures(value relevance, forecast error, forecast dispersion, earning persistence) was not confirmed.

Predicting of entities’ going- concern assumption in the future periods is an important element in decision-making process of many investors. So, selecting the predictor variables have been discussed as a challenging issue in the literature of bankruptcy prediction that accounting earnings & profitability variables have been at the top of these issues. Therefore earnings quality has been one of the important measures in the decision-making process of investors in field of bankruptcy prediction.This study has attempted to compare the prediction power of profitability variables among high quality and low quality earnings of Tehran Stock Exchange(TSE) companies and examine the effect of earnings quality on the efficiency of profitability variables in predicting the bankruptcy.In a sample of TSE companies, using artificial neural networks we find that the predictive accuracy of artificial neural networks for high quality earnings companies is significantly greater than of firms low quality earnings.

Previous studies suggest that capital structure plays a pivotal role in investment decisions. It is argued Compared to LSEs, that Small and Medium-Sized Enterprises(SMEs), in Iran face difficulty in Financing and obtaining bank loans, due to “size discrimination” and “ownership discrimination”. This study tests separately the determinants of Small and Medium Enterprise(SME) capital structure for the firms listed in Tehran stock exchange. Applying panel data analysis, our results obtained from small companies indicated a significant relationship between the profitability, growth and size of the company as the independent variable and the ratio of total debt as the dependent variable. Also in Iranian medium firms, there is a significant relationship between the profitability, ratio of fixed tangible assets and size of the company with debts of the company.

This paper aims to the effect of Growth opportunities and dividend policies on the relationship between financial reporting quality and return on stock volatility of Listed Companies in Tehran Stock Exchange. The the population is listed companies in Tehran Stock Exchange. The sample that achieved based on Screening method included 84 companies. The results of the test research hypotheses using panel data suggest that there is negative relationship between return volatility and financial reporting quality so that, with the increasing financial reporting quality, return volatility is decreased and risk. The finding of this study also confirms that growth opportunities have direct effect on financial reporting quality and return volatility and its increasing enhances the relationship between financial reporting quality and the company's stock return volatility. However, the results show that dividend policy has no significant effect on relationship between financial reporting quality and return volatility.