نرگس صبوری

According to the study of Fang and his colleagues in 2021, in order to reduce the fall of the stock market, companies pay attention to trading strategies and behavioral financial perspective, which have evaluated the assumptions and goals set in this regard; But there may be a gap in this path that prevents the connection or effect between the above variables, which is discussed in this study. This study aims to determine the effect of quantitative trading strategies on the fall of the stock market according to the perspective of behavioral finance (case study: companies admitted to the Tehran Stock Exchange). In order to analyze the research hypotheses, the statistical population was selected from 2016 to 2021 and for 6 years and included listed companies; the statistical sample was selected by elimination method and 90 companies. The research method used is a descriptive-analytical method and historical research data was collected and classified by referring to the financial statements and financial reports of the companies admitted to the Tehran Stock Exchange. The panel data method was used to analyze the statistical data; And in the analysis section, descriptive statistics, inferential statistics and various relevant tests were performed and data analysis was done using Eviews version 9 software. According to the analysis of the regression model, the findings of the research show that the main hypothesis has been confirmed and it was found that quantitative trading strategies have a negative and significant effect on the fall of the stock market according to the behavioral financial perspective of the companies admitted to the Tehran Stock Exchange. So that in this research, based on the t-statistics, the effectiveness of both special hypotheses (fall-timing and movement-reverse) was determined, and according to the mediating variable of behavioral financial perspective, they can also play a positive and significant role in reducing the fall of the stock market to be.

According to Dong and Hayon's study in 2022, in order to improve monetary policy, banks may use indicators that can be used to control their monetary policy; The indicators used in this study include financing, market power, liquidity creation channel; So there is a possibility that these indicators have a role on monetary policy. In order to analyze the hypotheses of the research, the statistical population was selected from 2016 to 2021 and for 6 years and included commercial banks and financial institutions admitted to the stock exchange, and the statistical sample was selected using the elimination method and the number of 21 banks. The research method used is a descriptive-analytical method and historical research data was collected and classified by referring to financial statements and financial reports of commercial banks and financial institutions admitted to the stock exchange. The panel data method was used to analyze the statistical data; And in the analysis section, descriptive and inferential statistics and various related tests were performed and data analysis was done using Eviews version 9 software. According to the regression model analysis, the findings of the research show that bank financing, market power and the bank's liquidity creation channel have a positive and significant effect on the monetary policy of commercial banks and financial institutions admitted to the Tehran Stock Exchange, so that in this research, based on the statistics t The degree of effectiveness of special hypotheses was determined that bank financing, liquidity creation channel, and market power affect monetary policy, respectively.