مطالب

The efforts of the developers of capital market laws and regulations over the past years have been aimed at increasing the level of information transparency to create more symmetry between companies and shareholders so that they can be more attractive to investors to invest in the stock market. But given the interplay of individual characteristics of corporate decision-makers with the interests of shareholders and investors, it seems that focusing on behavioral functions in the area of promoting managerial ability can more effectively lead to increased protection of shareholder interests. The purpose of this study is to investigate the effect of management ability on the protection of investors based on the development of the theory of the devil's advocate. Therefore, the present study, using the structural equation modeling approach and partial least squares analysis (PLS), while fitting the model's desirability, examined the impact of management ability on protecting investors. In this study, in order to measure the in-field variable, ie protection of shareholders' interests, a researcher-made questionnaire was created through meta-analysis with the participation of 15 research experts. Then the criterion of Demirjan et al (2013) was used to measure managerial ability as an exogenous variable in partial least squares analysis. The researcher-made questionnaire was sent to 142 CEOs of companies listed on the Tehran Stock Exchange, and finally, after many follow-ups, 105 questionnaires were completed and returned and used as a final sample for analysis. After ensuring the acceptable fit of the measurement and structural models of the research, according to the theory of the devil's advocate, the results showed that the ability of management has a positive and significant effect on protecting the investors. Managerial ability, as one of the specialized decision-making capacities, puts the company on the path of effective interaction with stakeholders and provides the ground for investors to Protect in companies' priorities to gain their trust.

The primary purpose of this study is to investigate the relationship between Political Communication and Information Asymmetry with the efficiency of investment in companies listed on the Tehran Stock Exchange. To achieve the above goal, two hypotheses were formulated. To test research hypotheses, a sample consisting of 109 companies listed on the Tehran Stock Exchange in the period 2014 to 2019 was selected. And a panel regression model based on composite data was used which has independent and dependent variables. The results of this study show that Political Communication has a negative and significant impact on Investment Efficiency, In contrast, Information Asymmetry has a positive and significant impact on Investment Efficiency, and this means that with increasing information asymmetry, investment efficiency increases. Therefore, political communications prefer corporate resources to pursue profitable investment options, thus altering corporate investment behaviors and reducing corporate investment efficiency. The results also show that Information asymmetry prevents investors from commenting on investment opportunities, thus allowing local managers to take advantage of profitable investment options.

This study was conducted to determine the effect of the asymmetric oil price shock, tax revenues, resource curse, stock market, and business cycles of Iran by using the structural vector auto regression model (SVAR) for the 1984-2018 period. According to results of the estimated SVAR model, an impulse imposed by the duration of sanctions on oil exports led to an 89% increase in production gap, and impulses caused by liquidity and stock price led to 86% and 53% rises in production gap, respectively. Variation in oil and foreign exchange earnings results in different and even conflicting changes in foreign and domestic sectors of the economy, which subsequently affect the economic performance positively or negatively. Regarding economic structure and principles, a constant increased exchange rate leads to economic growth while a cross-sectional increment in exchange rate does not lead to any economic prosperity. Increased exchange rate and decreased domestic money weakness will increase foreign debt, which in turn causes liquidity shortage. Overall, the liquidity shortage of economic firms has a negative impact on the return of stock and business cycles. Hence, policymakers must pay considerable attention to macroeconomic indicators.

The purpose of this study is to level the optimal analytical topics for evaluating the cost of petrochemical stock in the capital market. In this study, which was synthetic and inductive-deductive in terms of data collection method, 12 accounting and financial management specialists at the university level participated as panel members in the quality department. In fact, in the qualitative part, which used meta-synthesis and Delphi analysis, the aim was to identify the optimal analytical themes for the valuation of cost-effective stocks and then, in a small section with the participation of 16 petrochemical brokers, to classify the identified statements in the form of a total interpretive structural modelling based on impact priority. Therefore, relying on meta-synthesis analysis, 12 studies were first evaluated as the basis for evaluation to determine the optimal analytical themes of cost-based stock valuation based on critical evaluation, based on which 11 themes were selected propositions and entered into Delphi analysis to determine theoretical adequacy. In this stage, 3 propositions were removed during the two stages of Delphi analysis and a total of 8 analytical propositions of stock valuation were economically entered into the quantitative analysis section, ie total interpretive structural analysis. In this section, the results show the most influential analytical themes of cost-effective stock valuation in the petrochemical industry, two statements of normal stock market price analysis based on the current rated price of "K2" and a focus on the net asset value is "K3", which is at the fourth level of this model.