مطالب

The stock market has an important role in growth and development of countries. Network analysis is one of the latest method in analyzing the stock market. In quantitative science literature, It is a new concept for a macro view to whole market. Therefore, this research analyzes the interpersonal relationships’ network in the Tehran Stock Exchange (TSE). From the type of data collected and analyzed point of view, this study is a quantitative research in network analysis domain. The research period is from 2013 to 2017. Softwares such as PreMap and UCINET used for analyzing data. The research results indicated that some individuals, in comparison with others, have a better position in communicative networks. Having better position has caused these individuals to encounter fewer mediators in gaining access to others, and in turn easier access to available resources. In addition, their ability in gaining access to information enhanced via the cluster of network members. Therefore, it might be concluded that these individuals are key actors in governing structure of the TSE. Furthermore, this network follows a kind of bus morphology i.e. individuals act as a bridge for other units and connect them to the core of the communication network.

This study aimed to evaluate the effect of peer performance, future competitive performance and factors of correlation with peer companies on the manipulation of abnormal real operations. The research subjects included listed companies in Tehran Stock Exchange during 2013-2017. In total, 128 companies were selected as the statistical sample using systematic elimination approach. Peer performance, future competitive performance, and factors of correlation with peer companies were independent variables of the research, whereas the manipulation of abnormal real operations was the dependent variable. This was an applied research in terms of use and a correlational study regarding methodology. Data were collected using the library method, and explanatory notes, financial statements, and monthly journal of stock exchange were considered in the data section. Moreover, descrip-tive and inferential statistics were exploited to describe and summarize the col-lected data. Furthermore, data analysis was performed using variance heterogene-ity tests, F-Limer, Hausman, and Jarque and Bera tests, followed by the applica-tion of the multiple regression test for confirming or rejecting the research hy-potheses (Eviews Software). According to the results of the study, peer perform-ance, future competitive performance, and factors of correlation with peer compa-nies affected the manipulation of abnormal real operations.

The present study's main objective is to assess the relationship between corporate reputation and different types of earnings management (accrual-based, real, and reductive earnings management). In other words, this paper attempts to figure out whether corporate reputation can contribute to the amount of accrual-based, real, and reductive earnings management or not. This paper's method is descriptive-correlational based on published information from listed firms on the Tehran Stock Exchange during 2012-2018 with a selected sample of 187 firms (1309 observations). The method applied for hypothesis testing is linear regression using panel data. The obtained results from hypothesis testing show that corporate reputation has a negative and significant relationship with accrual-based, real, and reductive earnings management, which means highly-reputed firms, are less likely to embark on different earnings management types. Since this paper analyzes the emergent financial markets, like Iran, with extremely competitive audit markets to determine the effect of corporate reputation on different types of earnings management of listed firms on the Tehran Stock Exchange, it can provide useful information in this field.