Showing 4 results for Monetary Shocks
Dr Mohamad Ali Motafakkerazad, Aidin Ghafarnejad Mehraban, ,
Volume 2, Issue 4 (6-2011)
Abstract
Monetary shocks are one of the control tools in economic systems. A true perception of these shocks on economic systems can lead us to a suitable policy. In this paper, the impact of monetary shocks on output in Iran has been modeled and investigated using artificial neural networks. We investigated positive and negative shocks separately and confirmed asymmetric effect of these shocks. In addition, nonlinear natures of output changes considering magnitude of shocks were obtained.
Results show that optimal condition of monetary shocks to gain maximum output growth can be reached using artificial neural network. In other words, symmetric or asymmetric behavior of monetary shocks depends on economic situation in considered year or period. In addition to, investigation of monetary shocks effect (positive or negative impact) on the production changes, depending on the shock value and this shocks do not have an only particular Effect on production changes. Its can be different.
Hassan Heydari,
Volume 2, Issue 6 (12-2011)
Abstract
In this paper, a small scale Factor-Augmented Vector Autoregressive (FAVAR) Model is utilized to analyze the effects of monetary shocks on price level and economic activities in the Iranian housing sector. To analyze the "price level", four price indices of the housing sector were used and also six indices to estimate the "economic activities" in this sector were determined. The results show that shocks from liquidity and high powered money will have wave-like effects on the housing sector in Iran. The waves have an approximate duration of 5 years which is confirmed by observations of the housing sector in Iran. Also the results show that the effects of the liquidity shocks have more durable effects on the sector in comparison with the high powered money shocks.
Bahram Sahabi, Hossein Asgharpur, Saeed Qorbani,
Volume 8, Issue 29 (10-2017)
Abstract
In this study, using Dynamic Stochastic General Equilibrium Model (DSGE model) the hypothesis of asymmetry of monetary shocks in the Iranian business cycle during the period of 1979-2012 is tested on macroeconomic variables. The designed model broadens the analytical framework of dynamic equilibrium models with respect to the economic characteristics of an oil-exporting country. To extract business cycles, the Hodrick-Prescott filtering process has been used. The results of the research indicate that the effects of positive and negative monetary shocks during ascendancy and economic prosperity are asymmetric, so that the effect of positive shock during the recession period in the Iranian economy during the studied period was stronger than the negative shock level. On the other hand, the results show that the effect of positive shocks during the boom period in the Iranian economy on the price level changes its size in proportion to the size of the shock; however, the effect of negative shocks during the boom on the level of prices initially reduced inflation and then after a short time Inflation increases again. Therefore, it can be stated that in the economy of Iran both inflation and economic boom will increase. In the case of production and investment, this asymmetry is in a way that results in a broader expansionary policy in a recession and, in economic prosperity, the optimal political policy is contractionary.
Hassan Heydari,
Volume 9, Issue 34 (12-2018)
Abstract
There is a growing attention to models which contain a broader set of economic data. In recent decade, introduction of Factor Augmented VAR models through augmentation of traditional VAR models with unobservable “factors” has made a new route to econometric modeling. In spite of the growing number of international papers and researches which have used FAVAR approach to modeling policy shocks to various economies, there is little about Iranian economy. So the paper is an attempt to fill the gap in the literature using an FAVAR model to analyze transmission of oil and monetary shocks to Iranian economy. The model contains 35 major macroeconomic annual variables spanning from 1974 to 2014. The results show that “real sector” of Iranian economy responds positively to oil shocks up to 5 years. Also “nominal sector” of the economy responds positively to oil shocks but the responses are shorter, smaller and more volatile than “real sector” responses. Finally the model results show responses of “nominal sector” of Iranian economy to monetary shocks are positive which its duration varies between 2 and 4 years.
