Investigating the Asymmetric Effect of anticipated and unanticipated Monetary Shocks on the Growth Rate of the Subsectors of Industry and Mining Group under Business and Credit Cycles

According to the specific characteristics of the economic sectors and sub-sectors of each sector, it is likely that these sectors and their sub-sectors show different response to a monetary shock. The present study has been conducted on how the anticipated and unanticipated monetary shocks affect the growth rate of the industrial sector in terms of symmetry or asymmetry of effects in business and credit cycles. In this study, the effect of the mentioned shocks on the growth rate of the industry is investigated in three models separately (Model in conventional conditions and without economic fluctuations, model with business cycles and model with credit cycles), Using seasonal time series data from 1988 to 2019 and the nonlinear approach of Markov Switching, seemingly unrelated regressions (SUR) and the linear regression method. Based on the results of the SUR technique, in normal economic conditions, the industry and mining sector and its sub-sectors do not react significantly to the anticipated and unanticipated monetary shocks.  Using the regime switching probabilities and business and credit cycles derived from Markov methods MSMAH (2,5,0) and MSM (2) -AR (4), the linear regression results show the asymmetric effect of anticipated and unanticipated monetary shocks in both business and credit cycles. In a way that, in the state of the business  cycles, unanticipated shocks are more effective in expansionary than in recession and in the state of the credit cycles, these shocks have a stronger effect on stimulating production in the conditions of credit slowdowns.