The main objective of this paper is to find the optimal model of the monetary and fiscal policy tool for economic growth.Accordingly,we used four models with different combinations of liquidity to provide an optimal model for determining the optimal combination of monetary and fiscal policy in the short term and long-term results,and show how the optimal tools for optimal combination monetary and fiscal policies lead to economic growth.In all of these models,the ARDL method has the effect of monetary policy through terms such as the volume of banknotes and coins,the volume of long-term deposits,the rate of interest on long-term deposits,exchange rates and fiscal policies through variables such as public revenues and public expenditure on growth Real gross nominal production for the period 1978-2017 is analyzed and the moderation rate of each model is analyzed.The results show that combination No.4 is accepted in both short and long term terms,both monetary and fiscal policies are effective in sustained economic growth.

Achieving the goals of price stability, sustainable economic growth, and the improvement of many economic variables require coordination between the monetary and financial authorities. In this study, a new modified Keynesian stochastic dynamic equilibrium general equilibrium model is introduced for Iran and in the framework of game theory, optimal policy of fiscal and monetary authorities are derived and estimated using Bayesian approach under a Nash equilibrium game based on the independent decision-making of two players, a Stackelberg game with both fiscal and monetary policy leadership and the co-operative game. The results suggest that the best welfare would happen if the two policymakers cooperate and put more weight on inflation and in general, this approach will have lower losses than other games. Therefore, the model recommends that the two policies pursue bilateral cooperation to achieve the common goal of controlling inflation and maintaining economic stability and to do so, prioritize inflation control. In addition, if monetary and fiscal policy makers do not cooperate, monetary policy leadership is likely to be the second priority, as this would be less harmful to both policy makers.

This study examines the effects of banking services expansion on economic growth in Iran during 2009. 1 to 2018. 4 based on autoregressive models. The finding show that changes in economic growth over past ten-year significantly affected by credit supply shocks. State-owned banks has affected dramatically by shocks originated from production changes. Accordingly, about 78% of changes in economic growth are due to shocks related to economic growth itself, 11% due to shocks due to the amount of credit of state-owned banks, 3% due to shocks due to the number of branches of state-owned banks and about 6% due to shocks due to the number of employees.

One of the most important criteria in measuring the effect of economic policy is how monetary and fiscal policy interact and the effect of this Interaction on economic growth. An important point in studying the Interaction between monetary and fiscal policies is the coordination between these policies in order to achieve the goals of economic growth. Accordingly, considering the Interaction of monetary and fiscal policies in different periods of the Iranian economy using the TVP-VAR method, which can evaluate the effects of economic policy changes on macro variables over time, this article studies the shock effect of monetary and fiscal policies and their impact on the two macroeconomic variables, namely inflation and GDP in the period 1379 to 1398. The results show that the effect of fiscal policy on GDP growth is larger than monetary policy. The analysis of the Interaction of monetary and fiscal policies shows two important results. First, the increase in government debt has a greater effect on output growth and increased liquidity than the monetary policy shock due to its more stable and broader effect. Second, monetary policy can lead to more sustained inflation. The most important policy recommendation of this study is that considering the dominant role of fiscal policy in the Iranian economy in the period under review, it is necessary for monetary policymakers to pay sufficient attention to the central bank using a regular monetary policy framework to control inflation and the main goal that is controlling inflation and maintaining stable economic growth.

In this study, we follow several purpose. In the first section, the game theory concept and the formation of its fundamental concepts is examined. After that, we investigate that how von Neumann-Morgenstern (1944) and john Nash (1950-1953) works, caused the formation of modern game theory. Then, we discussed that how game theory enter to macroeconomic modern space. The achievement of this area can be found in Kydland and Prescott (1977). On the other hand, we consider the importance of differential game. This theory plays an important role in the applicable of strategic Interaction between fiscal and monetary policy. Hence by extend Tabellini model (1986) in stackellberg case by open loop and feedback information, the equilibrium model in Iranian economy is investigated. The results show that, converge speed in open loop case is higher than feedback case and also debt equilibrium in the feedback case is lower than open loop case. On the other hand, the result shows that in stackelberg game between government and central bank, the level of debt can be brought to the target level, and even with huge oil revenues, the government could impose policy to prevent the creation of much money by central bank.

In this study, the effect of monetary policy transparency on the relationship between monetary policy and banks' risk-taking by using different indicators of Dincer and Eichengreen monetary policy transparency (political transparency, economic transparency, Procedural transparency, policy transparency, operational transparency, overall transparency level) using panel data of banks in emerging economics, were surveyed during the years 2005 to 2017  by two econometrics methods: fixed effect estimator econometrics and systematic GMM (Generalized Method of Moments System). The results of the models show that the coefficients of monetary policy indicators are positive and statistically significant in all regressions and this result indicates that, as interest rates fall, bank risk increases. The results of the estimates also show that Banks' risk-taking in response to expansionary monetary policy, as the transparency of monetary policy by central banks increases, it decreases and the impact of monetary policy shocks has diminished when monetary policy is designed and implemented in a more transparent manner.

In any period of time and economic condition, specific monetary and fiscal policies are used. Hence the influence of monetary policy depending on the adopted monetary instruments is different. But the important issue is the impact of monetary policy on other parts of the economy. One of the foeffective factor monetary policy is exchange rate. The aim of this study is to examine the relevance and effectiveness of monetary policy on exchange rates using annual time series of 1989-2007 and auto regressive distributed lag method (ARDL). The results of this study indicated that the effect of monetary policy on exchange rates is positive and significant in the long term. National income have a significant negative impact on exchange rates. While the impact of unstable fluctuations of exchange rates and consumer price indexes on the exchange rate are not significant. In short term, monetary policy after one lag period and unst exchange rates.Unstable fluctuations of exchange rate have significantly positive effect on exchange rates, while national income and consumer price index have significantly negative effect on exchange rates.