scholarly journals The Monetary Transmission Mechanism: An SVAR Analysis of the Four Municipalities in China

2017 ◽  
Vol 5 (1) ◽  
pp. 81
Author(s):  
Lili Wu ◽  
Mingxu Li

This paper explores the role of housing markets in the transmission of monetary policy shocks across four Chinese municipalities, namely Beijing, Shanghai, Tianjin, and Chongqing. The analysis is based on identification of housing demand shocks, monetary policy shocks and credit supply shocks through a Structural Vector Autoregressive (SVAR) model estimated using monthly data for four cities from July 2005 to December 2015. The empirical results show great differences in the four cities as far as the housing market is concerned. They also indicate that housing plays a stronger role in the transmission of monetary policy shocks in Beijing and Shanghai than in Tianjin and Chongqing. These results are reasonably robust across several model specifications.

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.


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 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.


2015 ◽  
Vol 7 (1) ◽  
pp. 44-76 ◽  
Author(s):  
Mark Gertler ◽  
Peter Karadi

We provide evidence on the transmission of monetary policy shocks in a setting with both economic and financial variables. We first show that shocks identified using high frequency surprises around policy announcements as external instruments produce responses in output and inflation that are typical in monetary VAR analysis. We also find, however, that the resulting “modest” movements in short rates lead to “large” movements in credit costs, which are due mainly to the reaction of both term premia and credit spreads. Finally, we show that forward guidance is important to the overall strength of policy transmission. (JEL E31, E32, E43, E44, E52, G01)


2010 ◽  
Vol 230 (5) ◽  
Author(s):  
Sandra Eickmeier

SummaryThe paper assesses the transmission of US supply, demand and monetary policy shocks between 1976 and 2008 based on a factor-augmented vector autoregressive model (FAVAR) which is applied to a newly constructed set of more than 200 German time series. The study not only assesses the transmission of US shocks to German GDP via impulse response analysis but also to a large number of variables capturing the various transmission channels. The inclusion not only of aggregate trade variables but also of variables covering trade with different partner countries/regions helps analyzing more deeply the trade channel, e. g. the role of direct trade versus trade with third countries. Another focus lies on the transmission of US shocks to specific industries such as the car and the machinery industries which were particularly severely affected by the global financial crisis. Finally, the role of US shocks for the most recent downturn in Germany is assessed based on a historical decomposition.


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.


Sign in / Sign up

Export Citation Format

Share Document