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This article attempts to examine the impact of stock market fluctuations on macroeconomic variables by designing a New Keynesian approach in a dynamic stochastic general equilibrium (DSGE) model. For this purpose, first, model parameters are estimated based on Bayesian approach and using of quarterly data from 1994 to 2014. Second, the impulse response functions of variables to innovations in stock price index, monetary shock, technology shock, consumer spending and public investment are investigated. Then, the optimal weights related to inflation gap, output gap and the stock price index gap within the monetary policy function are extracted. According to the results, a shock to stock price index has a negligible effect on inflation and output variables. This may be due to the small size of the stock market in Iran. Finally, the optimal coefficients are determined for inflation and output gaps, stock price index gap, and the central bank deadweight loss under various scenarios. Based on findings, first, the central bank should attribute more weight to inflation in itself reaction functions. Second, a scenario in which the weight of stock price index is zero has less deadweight loss, thus the response of the central bank to stock price index gap leads to a reduction in social welfare. Therefore, when the stock market is booming, the central bank is recommended not to be intervened to reduce liquidity.

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Today, achieving financial stability alongside stabilizing inflation and output is of particular importance among monetary policymakers and regulatory authorities. In this study, a Dynamic Stochastic General Equilibrium Model was used for the period 1990: 1 to 2014: 4 in the economy of Iran, in which a measure of financial shock was also introduced. In this model, the financial shock is modeled as a reduction in external financing premium of the firm. Comparison of the performance of policy rules showed that following an expansionary financial shock, macro-prudential policy regime, in which instruments of monetary policy and macro-prudential policy deal with excessive growth of credit, leads to a significant reduction in the external financing premium of the firm.  This in turn leads to less volatility in economic variables, such as inflation and output. This would improve the welfare in the Economy of Iran.

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This study aimed to develop a multi-sector Dynamic Stochastic General Equilibrium (Large DSGE) model for Iran’s economy. In this model, economy was divided into three sectors: Agriculture, non-agriculture, and oil. Imports and exports were also included in the model. In order to adapt the model with Iran’s economic conditions, price stickiness in agriculture and non-agriculture were included. Then, the impact of rising oil prices on agricultural sector was examined. To calculate the required coefficients, 1971-2012 data was gathered and Bayesian method was used. The results showed the negative impacts of rising oil prices on agriculture as well as the negative effects of Dutch Disease.