جستجوی مقالات مرتبط با کلیدواژه "سیاست های پولی" در نشریات گروه "مالی"

Monetary policy can affect the position of banks, including their risk-taking. In implementing monetary policy, the central bank can directly use its regulatory power or indirectly use its influence on money market conditions as a powerful money issuer. Therefore, the purpose of this study is lending fluctuations in modeling the relationship between monetary policy, capital structure and banks' risk-taking. In this study, the financial information of 21 banks listed on the Tehran Stock Exchange during the years 1391 to 1397 was used. Sampling was performed by systematic removal method. The required data were collected from the financial statements of companies, Rahavard Novin Tadbir Pardaz software and also from the site belonging to the Stock Exchange Organization and the sites www.rdis.ir and www.irbourse.com as well as the site of the Central Bank. . Excel software has been used to classify the data. Also, after classifying the research data, Eviews10 software has been used to process the information and test the research hypotheses. The statistical method used in this study was correlational and multivariate regression model was used to calculate the independent and dependent variables and also to test the hypotheses. The results of testing the research hypotheses indicate that there is a significant relationship between monetary policy, bank lending fluctuations, capital structure and banks' risk-taking. In the study of control variables, the determination of the ratio of assets to equity of banks has a significant relationship with fluctuations in bank lending.

The purpose of this research was to investigate the role of uncertainty in monetary policies on the synchronicity of company’s stock prices. The statistical population of the research consists of all the companies listed in Tehran Stock Exchange between 2010 and 2019, of which 118 companies have been studied as a statistical sample of the research. The research data were analyzed using regression models using the pooled data method. In order to measure the uncertainty in monetary policies, two methods based on the entropy of exchange rate values and also fitting the GARCH heterogeneous variance model were used. The findings of the regression models showed that the increase in uncertainty in the monetary policies of each period under both the entropy criteria and the GARCH model has an adverse effect on the synchronicity of the stock prices in the future period. Therefore, the degree of stock prices synchronicity in each period can be predicted by relying on the uncertainty of monetary policies of the past period and the company's financial ratios. Also, the results showed that managers' strategies in order to reduce the debt ratio, increase cash retention and under investment to deal with the uncertainty caused by monetary policies, have a moderating effect on the relationship between this uncertainty and price synchronicity and strengthen the size of its effect on the synchronicity of the stock prices in the future period.