scholarly journals Effect of Monetary Policy on Investment in Russian Regions

2021 ◽  
Vol 80 (4) ◽  
pp. 31-49
Author(s):  
Andrei Shevelev ◽  
◽  
Maria Kvaktun ◽  
Kristina Virovets ◽  
◽  
...  

This paper assesses the effect of monetary policy on investment in Russian regions. In the first stage of the research, we estimate the responses of regional investment to interbank market rate shocks using structural vector autoregressions. In the second stage, we estimate regression models using impulse responses as dependent variables and explanatory factors as independent variables. The regression calculations are performed using the Elastic Net regularisation technique. We find that regions with higher shares of manufacturing, agriculture and construction are more responsive to monetary policy shocks. In addition, we identified the high importance of these sectors in explaining the different effects of monetary policy on investment. The results also show that the larger is the share of the mining and quarrying sector in the gross regional product (GRP) and the greater the imports to GRP ratio, the smaller is the absolute change in investment from a monetary policy shock.

2018 ◽  
pp. 33-55 ◽  
Author(s):  
A. A. Pestova

This paper investigates the influence of monetary policy shocks in Russia on the basic macroeconomic and financial indicators. To identify the shocks of monetary policy, the Bayesian approach to the estimation of vector autoregressions (VARs) is applied, followed by extraction of the unexplained dynamics of monetary policy instruments (shocks) using both recursive identification and sign restrictions approach. The estimates show that the monetary policy shocks, apparently, cannot be attributed to the key drivers of cyclical movements in Russia, as they explain only less than 10% of the output variation and from 5 to10% of the prices variation. When applying recursive identification, no restraining effect of monetary policy on prices is found. Respective impact on output is negative and statistically significant in all identification procedures employed; however, the relative contribution of monetary shocks to output is not large. In addition, no significant effect of monetary policy tightening on the stabilization of the ruble exchange rate was found.


2021 ◽  
Vol 66 (228) ◽  
pp. 101-122
Author(s):  
Mohamed Gassouma ◽  
Kais Ben-Ahmed

This paper presents an empirical analysis of the effect of monetary policy shocks on credit supply in Tunisia, using a vector autoregressive model and a nonlinear interactive model. The focus is on the magnitude of these shocks in the presence of foreign banks. The variables of interest are the concentration index of deposit banks, and monetary policy shocks based on the monthly data of 27 universal and business banks covering the period 1993 to 2016. The results support a positive and significant impact of concentration index on credit supply. However, monetary policy shocks appear to have no significant effect when the market is concentrated with the entry of foreign banks. The findings of this study also reveal that the entry of foreign banks neutralises monetary policy shock transmission in the credit supply, which may be offset by market discipline.


2018 ◽  
Vol 10 (2) ◽  
pp. 14 ◽  
Author(s):  
Shigeki Ono

This paper investigates the spillovers of US conventional and unconventional monetary policies to Russian financial markets using VAR-X models. Impulse responses to an exogenous Federal Funds rate shock are assessed for all the endogenous variables. The empirical results show that both conventional and unconventional tightening monetary policy shocks decrease stock prices whereas an easing monetary policy shock does not increase stock prices. Moreover, the results suggest that an unconventional tightening monetary policy shock increases Russian interest rates and decreases oil prices, implying reduced liquidity in international financial markets.


2019 ◽  
Vol 24 (8) ◽  
pp. 1881-1903
Author(s):  
Aarti Singh ◽  
Stefano Tornielli Di Crestvolant

We examine whether input–output interactions among industries impact the transmission of monetary policy shocks through the economy. Using vector autoregressive (VAR) methods we find evidence of heterogeneity in the output response to a monetary policy shock in both finished goods industries and intermediate goods industries. While output responses in finished goods industries can be related to heterogeneity in industry characteristics, this relationship is not so obvious for intermediate goods industries. For the intermediate goods industries in our sample, we find new evidence of demand-spillover effects that impact the transmission of monetary policy via input–output linkages.


2012 ◽  
Vol 4 (2) ◽  
pp. 1-32 ◽  
Author(s):  
Olivier Coibion

This paper studies the small estimated effects of monetary policy shocks from standard VARs versus the large effects from the Romer and Romer (2004) approach. The differences are driven by three factors: the different contractionary impetus, the period of reserves targeting, and lag length selection. Accounting for these factors, the real effects of policy shocks are consistent across approaches and most likely medium. Alternative monetary policy shock measures from estimated Taylor rules also yield medium-sized real effects and indicate that the historical contribution of monetary policy shocks to real fluctuations has been significant, particularly during the 1970s and early 1980s. (JEL E32, E43, E52)


2021 ◽  
Vol 80 (1) ◽  
pp. 3-45
Author(s):  
Vadim Napalkov ◽  
◽  
Anna Novak ◽  
Andrey Shulgin ◽  
◽  
...  

This research analyses regional heterogeneity in the reaction of core inflation to shocks of a single monetary policy on the example of Russia. We use a global vector autoregression model to reveal impulse response functions of core inflation in Russian regions to monetary policy shocks. The average 5-year cumulative response of regional core inflation to a MIACR shock of 1 percentage point (pp) is ‒0.74 pp. For 77 out of 80 regions, the 5-year cumulative core inflation response is found to be statistically significant. If we exclude three statistically insignificant responses and discard the four regions with the highest and lowest responses, we get a spread of ‒0.55 to ‒0.93 pp with a standard deviation of 0.12. We show that, over a one-year horizon, the heterogeneous response to monetary policy shocks can moderately reduce the heterogeneity of the response of regional inflation to exchange rate shocks. However, the magnitude of this effect is limited. According to the analysis of the regional heterogeneity factors, the higher are the share of extractive industries in the gross regional product of a region, the share of loans to manufacturing sector, the share of loans to small enterprises, as well as the unemployment rate, the stronger will be the reaction of the core inflation to the monetary policy shock. The degree of heterogeneity in the Russian regions’ core inflation response to monetary policy shocks, the set of factors explaining this heterogeneity, and the explained variation in the regional response (30–40% depending on the model specification) turn out to be comparable to similar indicators in other countries with pronounced regional heterogeneity.


Author(s):  
J. Scott Davis ◽  
Mark A. Wynne

Over the past twenty-five years, central bank communications have undergone a major revolution. Central banks that previously shrouded themselves in mystery now embrace social media to get their message out to the widest audience. The volume of information about monetary policy that the Federal Open Market Committee (FOMC) now releases dwarfs what it was releasing a quarter century ago. This chapter focuses on just one channel of FOMC communications, the postmeeting statement. It documents how this has become more detailed over time. Then daily financial-market data are used to estimate a daily time series of US monetary policy shocks. These shocks on Fed statement release days have gotten larger as the statement has gotten longer and more detailed, and the chapter shows that the length and complexity of the statement have a direct effect on the size of the monetary policy shock following a Fed decision.


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