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1

Quantifying Audit Expectation Gap: A New approach to Measuring Expectation Gap

100%
Salehi M.
Zagreb International Review of Economics and Business
|
2016
|
vol. 19
|
issue 1
25-44
EN
The main objective of the study is at first identifying the expectation gap about audit responsibility and the second quantifying the expectation gap in Iran. In order to collecting data, a questionnaire designed and developed between auditors and investors. Collected data analyzed by employing non-parametric statistics test. The results show that there is expectation gap between auditors and investors in Iran. The current study employed a new approach in the world in order to quantifying the expectation gap. It gives the more strength to other researchers in order to measuring audit expectation gap in the world.
2

The Relation of Working Capital and Fixed Assets: a Study

100%
Salehi M.
Folia Oeconomica Stetinensia
|
2012
|
vol. 11
|
issue 1
47-60
EN
The present study aims to investigate the relationship between working capital changes and fixed assets with asset return of 120 manufacturing listed companies in Tehran Stock Exchange during 2006-2010. Pearson correlation and Regression test are employed to determine the kind of relationship between dependent and independent variables, hypotheses test and evaluating normality of data respectively. The outcomes of the study suggest that there is a significant relationship between working capital changes and fixed assets with assets return in the research community.
3

The Relationship between Delay in Announcing Quarterly Forecasts of Annual Earnings and the Type of Earnings News

51%
Moradi M., Salehi M., Ayask S. S. M.
Organizacija
|
2013
|
vol. 46
|
issue 2
64-71
EN
The current study aims to examine the relationship between delay in the announcement of quarterly forecasts of annual earnings and the type of earnings news in a unique context. Running a multiple linear regression on data collected from Rahavard Novin software and the companies’ financial statements, is the method of this study to investigate this relationship. Consistent with the pattern of good news early, bad news late, it was found that there is a positive relationship between the bad news type and the amount of delay in announcing quarterly forecast of annual earnings; so that the firms with negative adjustments in earnings forecast (bad news), on average, have 12 more days delay in the announcement. Considering other variables showed that as coverage percentage - a sign of success - increases, the amount of delay in announcing earnings forecast decreases, but companies with losses per share, on average, have an additional delay of about 6 days. The results obtained indicate that at least, in some industries there is certain time for reporting. Finally, it became clear that in the period after the adoption of the new disclosure instruction, despite the increased deadline, the amount of delay in earnings announcement has declined by about 2 days. In this study, for the first time in Iran, one of the company’s financial news (quarterly forecasts of annual earnings), have been classified into good and bad, based on comparison with the market expectation, and the relationship between the news type and the amount of delay in announcing the news, has been examined.
4

Financial Distress Prediction of Iranian Companies Using Data Mining Techniques

51%
Moradi M., Salehi M., Ghorgani M. E., Yazdi H. S.
Organizacija
|
2013
|
vol. 46
|
issue 1
20-27
EN
Decision-making problems in the area of financial status evaluation are considered very important. Making incorrect decisions in firms is very likely to cause financial crises and distress. Predicting financial distress of factories and manufacturing companies is the desire of managers and investors, auditors, financial analysts, governmental officials, employees. Therefore, the current study aims to predict financial distress of Iranian Companies. The current study applies support vector data description (SVDD) to the financial distress prediction problem in an attempt to suggest a new model with better explanatory power and stability. To serve this purpose, we use a grid-search technique using 3-fold cross-validation to find out the optimal parameter values of kernel function of SVDD. To evaluate the prediction accuracy of SVDD, we compare its performance with fuzzy c-means (FCM).The experiment results show that SVDD outperforms the other method in years before financial distress occurrence. The data used in this research were obtained from Iran Stock Market and Accounting Research Database. According to the data between 2000 and 2009, 70 pairs of companies listed in Tehran Stock Exchange are selected as initial data set.
5

Investment-Cash Flow Sensitivity: A Study of Iranian Listed Companies

51%
Salehi M., Mohammadi A., Taherzadeh Esfahani P.
Organizacija
|
2013
|
vol. 46
|
issue 3
87-97
EN
The main objective of the current study is to examine the effect of audit report on cash-flow investment sensitivity of 123 listed companies in Tehran Stock Exchange (TSE) during 2006-2010. Regression analysis and synthetic data were used for data analysis. The results showed that receiving modified report has a significant negative effect on cash flow-investment sensitivity. The findings also suggest the significant effect of receiving qualified report and unqualified report with explanatory paragraphs on cash flow-investment sensitivity.
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