زهرا حائری نسب

The facility interest rate is one of the most important macroeconomic variables. The bank facility interest rate is associated with other macro-economic variables, one of which is the bank deposit interest rate. Using the time series data of the 1973-2017 period and the simultaneous equation system, the researchers estimated four equations using the three-stage least squares method.The result of estimation of the first equation indicates that there is a significant positive relationship between the bank deposit interest rate and the facility interest rate in the Iranian economy during this 45-year period, in that a decrease in the facility interest rate follows an increase in the inflation rate.The result of estimation of the second equation, in which the deposit interest rate is the dependent variable, shows that there is a significant positive relationship between the facility interest rate and the deposit interest rate.. The result of estimation of the third equation, where the inflation rate is the dependent variable, indicates that there is a significant positive relationship between the liquidity level and the inflation rate,The result of estimation of the last equation where the credit risk of banks is the dependent variable shows that there is a significant positive relationship between the facility interest rate and the credit risk.

The bank interest rate is one of the most important macroeconomic variable in each country economic. The purpose of this paper is find the relationship between the facility interest rate and three main variable of the money market.In Iran. this issue for equations the interest rate facility, the interest rate of deposit, inflation and credit risk utilizing the model simultaneous equation system and method three-stage least squares estimated. Results show that in this 32 year period the interest rate of the facility whit the interest rate on deposits is one of the most important macro- banking variable has a positive and significant relationship. So that with an increase in interest rate on deposits, the interest rate of facility also increases. It was also determined the interest rate of facility with inflation has a negative and significate relationship. This expresses with increasing inflation, the facility interest rate decreases. Because in Iran the rate of interest determined as an order, this result is not expected. The interest rate of facility and and credit risk have a positive and significant relationship, which represents it when the interest rate of facility increases, likelihood of non payment increased by borrowers. Also, inflation rate with liquidity and exchange rate has a positive relationship which is consistent reality.

The Stock Exchange is a private sector savings and liquidity fund to fund long-term investment projects. The indicators of this market are influenced by several factors, one of which are economic variables. Banks are also one of the most important investors in the financial market. In this study, the effect of exchange rate, bank interest rate, liquidity and inflation rate on stock price index using time series data of 1978-1988 and using equation system model of four equations of the stock price index, inflation rate, profit rate Deposits, and facility interest rates were estimated using the three-stage least squares method. The results showed that the effect of the exchange rate, deposit interest rate and positive liquidity volume and the effect of inflation rate on stock price index was negative. Other equations have been estimated because of the relationship between the bank interest rate and inflation rate, and the results show that both deposit interest rate and facility interest rate have a positive relationship with the inflation rate

Monetary policy is one of the important economic policies that affect the macro variables of every country. One of the composite variables that are affected by the monetary policy is the FCI. This study aimed to measure the effect of monetary policy through different channels on the FCI of Iran. Using time series data from 1991-2023 and the econometric method of PCA, the FCI was first calculated. The effect of monetary policy on the FCI of the country using the Markov-switching (MSIHA(2) AR(2)) model was calculated and estimated. The results of the estimation of the Markov-switching model indicate that the studied period can be divided into two regimes of zero and one. So that 1% increase in the FCI in regime zero will lead to a 0.02% return of the FCI in the next month and a 0.36% increase in the next two months. In addition, the increase in the FCI in regime one will lead to a 0.08% return of the FCI and a 0.10% increase in the next two months. In addition, the volume of money in regime zero and regime one also positively and significantly affects FCI.