Dr Mohammad Noferesti, Dr Mehdi Yazdani, Nasim Babaei, Hasanali Ghanbarimaman,
Volume 12, Issue 43 (3-2021)
Abstract
Banking system is one the important sectors of economy and as vital institution of money market, plays a very significant role. Also, due to the nature of the banking system performance, the activities of banks have a close relationship with the exchange rate changes. This paper tries to assess the effects of exchange rate variations on macroeconomic variables via the banking system using a macro-econometric model and approach of bounding ARDL during 1973-2017. The results indicated that an increase in the exchange rate through non-performance loans and long-term deposits will led to decreased credit providing by the banking system. On the other hand, an increase in the exchange rate through the net open position and banks’ capital account had a positive impact on banks’ credit provision. However, the negative impact of a change in the non-performance loans and long-term deposits is stronger than the positive impact of the net open position. In addition, the decreasing trend of providing credit by banking system had a negative effect on investment. Finally, an increase in the exchange rate causes a decrease in the long-term deposits and the money multiplier which has a negative effect on liquidity and price level. An increase in the exchange rate through the capacity utilitization rate had a negative impact on GDP. Also an increase in the exchange rate led to increased liquidity and price level.
Mohamad Noferesti, Mohamadreza Sezavar,
Volume 12, Issue 44 (7-2021)
Abstract
In the Iranian economy, which has experienced various sanctions, it was necessary to anticipate macroeconomic variables when imposing new sanctions. On the other hand, in the context of sanctions, it is possible to make a more accurate assessment of economic policies in order to be able to respond in a timely manner to these shocks and the need for appropriate planning and security against them. Therefore, in the present study, a macroeconomic model with Mixed-frequency data sampling has been used,While having a high accuracy in prediction, it is possible that when new information about multivariate variables is obtained, based on it, the previous prediction for the dependent variable of the pattern is revised. The model consists of 27 behavioral equations, 8 communication equations and 33 definitional and union relations and the parameters of the model are estimated using time series data in the period 1338 to 1396. Predictive results show that the use of new observations in high frequency variables in the model has led to improved accuracy in predicting the endogenous variables of the model.
