Trusting the Bankers: A New Look at the Credit Channel of Monetary Policy

2010 ◽  
Author(s):  
Matteo Ciccarelli ◽  
Angela Maddaloni ◽  
Jose-Luis Peydro
Author(s):  
Angela Maddaloni ◽  
Matteo Ciccarelli ◽  
Jose-Luis Peydro

2015 ◽  
Vol 18 (4) ◽  
pp. 979-1002 ◽  
Author(s):  
Matteo Ciccarelli ◽  
Angela Maddaloni ◽  
José-Luis Peydró

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Mohammad Farajnezhad

This article uses commercial bank-level data to examine a credit channel of the monetary policy transmission mechanism in the Brazilian economy from BRICS countries.  Static panel data with a fixed-effect model are used for data analysis. Using a sample of 212 commercial banks from 2009 to 2018. According to the findings of this study, there is a significant and positive relationship between macroeconomic variables that affect the interest rate and GDP with the loan amount, but not with the inflation rate. Also, it is reasonable to conclude that banks in Brazil react to monetary policy in a variety of ways.


2012 ◽  
Vol 123 (571) ◽  
pp. 906-931 ◽  
Author(s):  
Fiorella De Fiore ◽  
Oreste Tristani

2018 ◽  
Vol 13 (4) ◽  
pp. 149 ◽  
Author(s):  
Weina Cai ◽  
Sen Wang

The boom of housing market in China in recent years has attracted great concerns from all over the world. How monetary policy affects house prices in China becomes an essential topic. This paper studies the time-varying effects of monetary policy on house prices in China during 2005.7-2017.10, by using a time-varying parameter VAR model. This paper obtains three interesting results. First, there are time-varying features of the responses of house prices to monetary policy shocks half-year and 1-year ahead, no matter through interest rate channel or through credit channel. Second, interest rate channel and credit channel have been enhanced since financial crisis in 2008. Third, the responses of nominal house prices to monetary policy in China are mainly driven by the responses of real house prices, instead of inflation. Finally, this paper gives proper suggestions for each finding respectively to central bank in China.


Sign in / Sign up

Export Citation Format

Share Document