Publication Date: 2015
International Journal of Applied Business and Economic Research (09727302)13(2)pp. 955-970
In this study, the impact Profitability was investigated on Stock Returns based on the price, return and differenced model. Profitability was considered as independent variable and firm size and life cycle as control variables. The sample was included 60 members of the Tehran Stock Exchange during the period of 2005 to 2012. Library study was used for collecting information. Quantitative methods were utilized including statistical analysis and multiple regression analysis. Also STATA version 11 and Excel software were used for the analysis of data and results. The results suggest that all models profitability impact on stock returns and profitability factor should be addressed for earning higher returns.
Publication Date: 2016
International Journal of Learning and Intellectual Capital (14794861)13(4)pp. 316-337
The main purpose of this study is to investigate the relationship among intellectual capital (IC) and its components and earnings quality for non-financial companies listed on the Tehran Stock Exchange (TSE). Moreover, we examined the role of financial performance as a mediator effect on the impact of IC and its components on earnings quality. Our findings show that IC and its components have significant impact on earnings quality. Also, financial performance mediates the effect of IC and its components on earnings quality. Therefore, it is concluded that IC and its components affect earnings quality through improving financial performance. As the existing studies on the relationship between IC and earnings quality have not used comprehensive measure of earnings quality, and they did not consider the financial performance as a mediator factor, this study contributes to the literature by filling these gaps in the literature. Copyright © 2016 Inderscience Enterprises Ltd.
Publication Date: 2017
International Journal of Applied Business and Economic Research (09727302)15(5)pp. 195-205
The present Research Aimed to Evaluate the Effect of Environmental Uncertainty on the Relation between Earning Management and the Information Asymmetry. In this way, a Sample Evaluated Including 106 Listed Companies in Tehran Exchange Stock during 2008-2013. To Test Hypothesis, Multivariate Regression and Panel Data were used. To Measure Information Asymmetry, the Proposed Scope of Bid-Ask Spread Was Used Following Venkatesh and Chiang (1986) Model. To Measure Earning Management, an Alternative Variable Called Discretionary Accruals Were Used and Estimated with Modified Jones (1991) Model. The Coefficient of Sale Variation is Also a Proxy Variable of Environmental Uncertainty of the Firms. Findings indicated that Managers by Earnings Management through Discretionary Accruals Reduced Earnings Volatility to react to the Undesirable Effect of Environmental Uncertainty Which is Effective on the Performance and Profitability of the Firms and they tried to hide it From Investors and Creditors Attention by Earnings Management, Which Lead to Increases the Information Asymmetry. © Serials Publications Pvt. Ltd.
Publication Date: 2019
Journal of Applied Accounting Research (09675426)20(2)pp. 154-171
Purpose: In accounting and finance, researchers have used many ways to detect manager’s fraud risk. Until now, many researchers have used some data mining methods in these two fields to detect this risk. The purpose of this paper is to compare the precision of two data mining methods in detecting such a risk. Design/methodology/approach: For this purpose, this paper analyzed the texts of board’s reports and used two methods including the convex optimization (CVX) method and least absolute shrinkage and selection operator (LASSO) regression method. In this way, the words of these reports, which have the greatest power in explaining the manager’s high fraud risk index, were identified. Using these words, this paper presented a model that could detect manager’s high fraud risk index in companies. Findings: The results indicated that both methods can detect the manager’s high fraud risk index with a precision between 82.55 and 91.25 percent. The LASSO method was significantly more precise than the CVX method. Research limitations/implications: The lack of access to an official and reliable list of firms suspected to fraud and the lack of access to the Microsoft Word (MS Word) file of board’s reports were two of the most important limitations of this study. Practical implications: Regulatory bodies and independent auditors can consider the proposed methods in this study for assessing the fraud risk for a firm or other legal parties. Originality/value: This paper avoided using merely financial statements data to detect the manager’s fraud risk index and focused on texts of board’s reports for the detection process. The capabilities of data mining and text mining methods for detecting the manager’s fraud risk index using board’s reports were tested in this paper. By comparing CVX and LASSO results, this paper indicated that methods with a binary-dependent variable have more power and are more precise than methods with continuous-dependent variables for detecting fraud. © 2019, Emerald Publishing Limited.
