Earning quality

Time changes of return, inefficiency studies performed and presence of effective factors on share return rate are caused development modern and intelligent methods in estimation and evaluation of share return in stock companies. Aim of this research is prediction of return using financial variables with artificial neural network approach. Therefore, the statistical population of this study includes 120 listed companies in Tehran stock securities during 2005 to 2017. Independent variables in this research are market variables (Earning quality, free cash flow) and dependent variable is share return. The obtained outputs from estimation of the artificial neural networks and results obtained from estimation, using of this method with evaluation scales concerning random amount and comparing it with adjusted R, we found that there is meaningful relation between the associated variables and return. However, such network has the least error than other networks.

This study postulates the relationships between earning quality and investment efficiency among Tehran Stock Exchange-listed companies with an emphasis on the moderating role of board characteristics including independence, the duality of executives and the financial expertise of members. The research is applied in terms of purpose and takes a correlative-descriptive approach. The statistical population is comprised of TSE listed companies from 2008 to 2018 and, the final sample consisting of 78 companies was selected using systematic (purposeful) elimination. To test the hypotheses, two regression models were estimated using Ordinary Least Squares method through Eviews software. The empirical results revealed a positive and significant relationship between the quality of earning and investment efficiency in TSE publicly-traded companies. As well as, the board members' independence and financial background can significantly exaggerate such a relationship. Based on our findings, capital market legislators, regulators, and policymakers may reinforce the governance role of the board of directors in monitoring the behavior of firms, and as a result, increase the efficiency of allocating capital among companies listed in TSE and also in macroeconomic levels. The findings can persuade corporate shareholders to pay more attention to the degree of independence and expertise of their board of directors to gain more return on their investment opportunities.

Purpose: Women studies have always been of interest to researchers. The issue of women's presence in business and management is one of the most important issues in the field of women's studies. This study sets to investigate the effect of characteristics of female managers who were either member of board or CEO on earning quality. Methodology: To this end, we collected necessary data such as financial statements from 102 Tehran Stock Exchange listed companies. The data belongs to period stretching from 20 Feb 2015 to 20 Feb 2020. To test our hypotheses, multivariate regression with panel data and also EViews software were utilized. The results show that the presence of female managers has a positive as well as meaningful effect on earning quality. Findings: Furthermore, the results of our second and third hypothesis indicate that the training skills of female managers and their experience in the board have a positive and significant relationship with the quality of companies’ earnings. Conclusion: According to the results of the research, it is recommended that women be used more in managerial positions and the existing misconceptions that have prevented skilled and experienced women from appearing should be discarded.