Board members

The study aims to investigate the relationship between the financial incentives of board members and disclosure of corporate risk, emphasizing the levels of corporate performance and risk in Iran. The research sample includes 98 listed firms in Tehran Stock Exchange during 2011-2015 (490 years-firms); the firms have selected by using a systematic removal method. Regarding the aim, the present research is classified as an applied research and concerning its method, it is categorized as a descriptive research. The research hypotheses are examined using the linear regression testing method; Eviews software has employed for data analysis and hypotheses testing. Based on the regression results, financial incentives of board members are effective on the quality and extend of firm’s risk disclosure.

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.