ECB Monetary Policy Actions and the Economic Conditions of a Non-Euro Member: The Case of Croatia

2017 ◽  
Vol 17 (2) ◽  
pp. 20170008
Author(s):  
Edmond Berisha

This paper analyses the importance of ECB monetary policy shocks in the domestic activities of a non-EMU member, Croatia, with the main focus on the inflation rate. Using a Vector Autoregressive Model with an exogenous variable specification, it is found that the contraction of foreign monetary shocks have a significant positive impact on the local inflation rate and output. Interestingly, the interest rate gap exerts a statistically significant effect on the economic activities of Croatia, suggesting that targeting exchange rate stability does not eliminate the significance of ECB’s monetary policy changes.

2012 ◽  
Vol 17 (4) ◽  
pp. 830-860 ◽  
Author(s):  
Sandra Eickmeier ◽  
Boris Hofmann

This paper applies a factor-augmented vector autoregressive model to U.S. data with the aim of analyzing monetary transmission via private sector balance sheets, credit risk spreads, and house prices and of exploring the role of monetary policy in the housing and credit boom prior to the global financial crisis. We find that monetary policy shocks have a persistent effect on house prices, real estate wealth, and private sector debt and a strong short-lived effect on risk spreads in money and mortgage markets. Moreover, the results suggest that monetary policy contributed considerably to the unsustainable precrisis developments in housing and credit markets. Although monetary policy shocks contributed discernibly at a late stage of the boom, feedback effects of other (macroeconomic and financial) shocks via lower policy rates kicked in earlier and appear to have been considerable.


2020 ◽  
Vol 102 (4) ◽  
pp. 690-704 ◽  
Author(s):  
Pascal Paul

This paper studies how monetary policy jointly affects asset prices and the real economy in the United States. I develop an estimator that uses high-frequency surprises as a proxy for the structural monetary policy shocks. This is achieved by integrating the surprises into a vector autoregressive model as an exogenous variable. I use current short-term rate surprises because these are least affected by an information effect. When allowing for time-varying model parameters, I find that compared to the response of output, the reaction of stock and house prices to monetary policy shocks was particularly low before the 2007–2009 financial crisis.


Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 472
Author(s):  
Petre Caraiani ◽  
Adrian Călin

We investigate the effects of monetary policy shocks, including unconventional policy measures, on the bubbles of the energy sector, for the case of the United States. We estimate a time-varying Bayesian VAR model that allows for quantifying the impact of monetary policy shocks on asset prices and bubbles. The energy sector is measured through the S&P Energy Index, while bubbles are measured through the difference between asset prices and the corresponding dividends for the energy sector. We find significant differences in the impact of monetary policy shocks for the aggregate economy and for the energy sector. The findings seem sensitive to the interest rate use, i.e., whether one uses the shadow interest rate or the long-term interest rate.


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.


2021 ◽  
Vol 52 (4) ◽  
pp. 37-65
Author(s):  
M.Ye. Mamonov ◽  
◽  
A.A. Pestova ◽  
◽  

In this paper, we compare the transmission of monetary policy shocks using quarterly data for 13 emerging market economies (EMEs) with that in a benchmark advanced open economy, the United Kingdom, in the periods of inflation targeting (from 1990s onward). To estimate the transmission within a given country, we specify a monetary VAR-model and we extend it with a variable reflecting commodities terms of trade. We identify monetary policy shocks using a sign restriction scheme: a restrictive shock is determined as an unexpected rise of policy rate and reduction of inflation (CPI) and money demand (M2). We apply the Bayesian approach to estimating VARs to address the curse of dimensionality. Our results indicate that monetary policy in EMEs is not less efficient comparable to the U.K.: restrictive monetary shocks decrease inflation but also lead to a slowdown of GDP and stock market outflows. Overall, our findings add to the debate on the real effects of monetary policy surprises with a special attention to a large set of EMEs.


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.


2019 ◽  
Vol 11 (10) ◽  
pp. 2776 ◽  
Author(s):  
Rangan Gupta ◽  
Zhihui Lv ◽  
Wing-Keung Wong

Unlike the existing literature, which primarily studies the impact of only monetary policy shocks on real estate investment trusts (REITs), this paper develops a change-point vector autoregressive (VAR) model and then analyzes, for the first time, regime-specific impact of demand, supply, monetary policy, and spread yield shocks, identified using sign-restrictions, on US REITs returns. The model first isolates four major macroeconomic regimes in the US since the 1970s and discloses important changes to the statistical properties of REITs returns and its responses to the identified shocks. A variance decomposition analysis revealed aggregate supply shocks to have dominated in the early part of the sample period, and monetary policy and spread shocks at the end. Our results imply that ignoring other possible shocks in the model is likely to lead to incorrect inferences, and over-reliance on (conventional) monetary policy in correcting for possible bubbles in the REITs sector, which it will fail to rectify, given the importance of other shocks driving the REITs sector.


2019 ◽  
Vol 14 (4) ◽  
pp. 48-75

This section conducts an estimate of the impulse response function of key macroeconomic variables to monetary policy shocks in Russia. The estimates are carried out through a dynamic factor model (DFM) of the Russian economy with structural identification of shocks by imposing various sets of sign restrictions on the behavior of endogenous variables. We restricted first the monetary aggregate M2 only (a decrease in response to an increase of the Key rate), and then—simultaneously—M2, real effective exchange rate (an increase), and GDP (a decrease). We estimated the DFM using a large dataset of 58 macroeconomic and financial variables. The estimation results suggest that there is no decreasing response of consumer prices to an exogenous tightening of the interest rate policy of the Central Bank of Russia. This empirical evidence is supported implicitly by DFM-based predictions that under the imposition of such a decreasing response as an identifying restriction to the model, a positive interest rate shock is not transmitted through the interest rate channel of monetary policy to expected increases of the interest rates on commercial loans and private deposits. However, existing empirical evidence refutes this model-based result. Therefore, this study supports the view according to which a tightening of monetary policy in Russia is inefficient in terms of restraining inflation. In addition, monetary policy shocks negatively affect investments, retail sales, export and import, real wages, and employment. Different economic activities react differently to monetary policy shocks: export-oriented activities are not sensitive to these shocks, whereas domestic pro-cyclical activities (e.g. construction) can be substantially depressed in response to unexpected increases of interest rates. Finally, the expectations of economic agents are also significantly affected by shocks in the interest rate policy of the Bank of Russia.


2017 ◽  
Vol 4 (8) ◽  
pp. 642
Author(s):  
Mohammad Abdul Adim ◽  
Raditya Sukmana

The purpose of this research is to find out the effect of monetary policy shocks and macro variables towards Islamic banks deposits. The method that used in this researc his quantitative method and also using secondary data which obtained from financial reports and other reports started from 2005 until the end of 2015. Analysis technique used is Johansen Cointegration and Vector Autoregressive (VAR). The result are monetary policy shocks have affect significant on deposits Islamic banks in long run and short run. Furthermore, variables macroeckonomic like GDP and CPI have effect significant on deposits in Islamic banks. interestingly, the money supply in the long run have significant effect on Islaimc banks deposits, but in the short run does not have a significant effect on the deposits of Islamic banks.


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.


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