Asymmetric Information and the Transmission Mechanism of Monetary Policy

2007 ◽  
Vol 8 (3) ◽  
pp. 428-446 ◽  
Author(s):  
Ulrike Neyer
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Asymmetric Information ◽  
Credit Markets ◽  
Transmission Mechanism ◽  
Monetary Transmission ◽  
Credit Channel ◽  
Absolute Value ◽  
Monetary Transmission Mechanism ◽  
External Finance

Abstract This paper analyses the consequences of asymmetric information in credit markets for the monetary transmission mechanism. It shows that asymmetric information can not only reinforce but can also weaken or overcompensate the effects of the standard interest rate channel. Crucial is that informational problems lead to an external finance premium that can be positive or negative for marginal entrepreneurs. Tight money may lead to an increase in the absolute value of this premium, implying that there is a credit channel of monetary policy, but its working direction is ambiguous.

The Effects of Euro Area Interest Rate Changes: Evidence from Macroeconomic Models

2004 ◽  
Vol 187 ◽  
pp. 93-103 ◽  
Author(s):  
Peter McAdam ◽  
Julian Morgan
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Interest Rates ◽  
Euro Area ◽  
Transmission Mechanism ◽  
Monetary Transmission ◽  
Macroeconomic Models ◽  
Monetary Transmission Mechanism ◽  
European Central ◽  
Investment Response

This paper examines the effects of changes in Euro Area interest rates using macroeconomic models. It examines the results of a harmonised monetary policy simulation at the Euro Area level using the National Institute of Economic and Social Research's Global Economic Model (NiGEM) and the European Central Bank's Area Wide Model (AWM). Comparison is also drawn with the aggregate results from Euro Area National Central Bank models as reported in van Els et al. (2001). Overall, the results across the different models are broadly consistent with what might be regarded as the stylised facts of the monetary transmission mechanism. That is to say that, following a policy tightening, there is an initial fall in output consisting of a more pronounced investment response and a less pronounced consumption response. This output fall is accompanied by protracted price dynamics.

scholarly journals ALUR TRANSMISI DAN EFEKTIFITAS KEBIJAKAN MONETER GANDA DI INDONESIA

2012 ◽  
Vol 14 (3) ◽  
pp. 283-315
Author(s):  
Ascarya Ascarya
Keyword(s):  
Interest Rate ◽  
Central Bank ◽  
Negative Impact ◽  
Transmission Mechanism ◽  
Monetary Transmission ◽  
Monetary Transmission Mechanism ◽  
Monetary System ◽  
Data Form ◽  
Pass Through ◽  
The Interest Rate

This study aims to investigate transmission mechanism of dual monetary system from conventional and Islamic policy rates to inflation and output using Granger and VAR methods on monthly Indonesian banking data form January 2003 to December 2009. The result shows that conventional transmission mechanismsfrom conventional policy rate are all linked tooutput and inflation, while Islamic policy rate are not linked to output and inflation.In addition, the interest rate, credit and conventional interbank rate shocks give negative and permanent impacts to inflation and output, while PLS, financing and Islamic interbank PLS, as well as SBIS(Central Bank Shariah Certificate) as Islamic policy rate shocks give positive and permanent impacts to inflation and output. SBI (Central Bank Certificate) as conventional policy givespositive impact to inflation and negative impact to output.Keywords: Monetary transmission mechanism, Interest rate pass through, Conventional Banking, Islamic BankingJEL Classification: E43, E52, G21, G28

The Channels of Transmission of Monetary Policy

2021 ◽  
pp. 45-88
Author(s):  
Juan Antonio Morales ◽  
Paul Reding
Keyword(s):  
Monetary Policy ◽  
Emerging Market ◽  
Asset Price ◽  
Balance Sheet ◽  
Transmission Mechanism ◽  
Monetary Transmission ◽  
Monetary Transmission Mechanism ◽  
The Interest Rate ◽  
The Impact ◽  
Transmission Of Monetary Policy

This chapter explores the monetary transmission mechanism (MTM) in low financial development countries (LFDCs). It successively discusses the interest rate, asset price, bank credit, balance sheet, expectations, and real balance channels. For each channel, conceptual aspects about how it operates, how it transmits monetary policy impulses to the economy’s financial and real spheres, are first presented. Next, the impact of the specificities of LFDCs on the channel’s strength and reliability are examined and the available empirical evidence is surveyed. The chapter concludes with a global assessment of the effectiveness of the monetary transmission mechanism in LFDCs. Evidence points to a transmission mechanism that is effective although not very strong, and possibly also more uncertain than in advanced and emerging market countries.

Dynamism of Monetary Transmission Mechanism in Nigeria: Interest Rate and Market Capitalization Causality Evidence

2018 ◽  
Vol 2 (1) ◽  
pp. 81-91
Author(s):  
Prince Umor C. Agundu ◽  
Waleru Henry Akani
Keyword(s):  
Interest Rate ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Transmission Mechanism ◽  
Monetary Transmission ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Causality Test ◽  
Market Capitalization ◽  
Monetary Transmission Mechanism

The potency of monetary transmission channels anchors the process by which interest rate movements and other cardinal aggregates influence critical financial fundamentals in an economy. This study, thus, examines dynamism of the monetary transmission mechanism with focus on the causality of interest rate and market capitalization in the Nigerian economy. Time series data covering a period of 36 years (1981 - 2015) were extracted from publications of monetary authorities and related agencies, including annual reports of Deposit Money Banks (DMBs) in the country. Facilitated by E-Views software, the analytical proceedings generated the required statistical outcomes in terms of coefficient of correlation (r), coefficient of determination (R2), t-statistic, and F-statistic. Granger causality test was also conducted to clearly establish the direction of causality between the focal variables. Essentially, the null hypothesis is rejected as probability of the F-statistic is less than the specified 0.05 level of significance. The granger causality test statistics run from four interest rate components to the operational capital market fundamental (with F-statistics of 5.758, 5.540, 4.209,and5.656; as well as  probability values of 0.008, 0.009, 0.002, and 0.009 respectively). In view of the analytical outcomes, it is recommended that interest rate components be efficiently synergized to boost investors’ confidence and further drive monetary policy dynamics towards greater financial system vitality and sustainability in Nigeria.

scholarly journals MONETARY TRANSMISSION MECHANISM UNDER DUAL FINANCIAL SYSTEM IN INDONESIA: CREDIT-FINANCING CHANNEL

2019 ◽  
Vol 4 (2) ◽  
pp. 251-278
Author(s):  
Reza Jamilah Fikri
Keyword(s):  
Monetary Policy ◽  
Error Correction ◽  
Financial System ◽  
Error Correction Model ◽  
Transmission Mechanism ◽  
Monetary Transmission ◽  
Correction Model ◽  
Monetary Transmission Mechanism ◽  
Financing Channel

The presence of Islamic and conventional banking in the dual financial system of Indonesia equally hold the role as financial intermediator which theoretically banks collect fund from the debitors to be distributed to creditors. However, along with the changing of time there has been a development in the financial industry, when financial deregulation occurs, where the role of providing credit is not only owned by the banks but also other financial institutions. As the result, banks are no longer considered as the center of financial intermediation but could be replaced by other financial instruments. This study aims to reconsider the role of banking as financial intermediation in the monetary transmission mechanism using three methodoligal approaches which  are Vector Autoregression and Vector Error Correction Model (VAR-VECM), Error Correction Model (ECM), and Autoregressive Distributed Lag (ARDL). The long-term results of ECM and VECM estimations both show that credit and finacing channel are still relevant to be employed in the monetary transmission mechanism after the development of financial sector and the change of monetary policy, yet only have an impact to economy and do not give effect to inflation. While the result of ARDL estimation indicates that none of the variables affect the  monetary policy objectives which means that credit and financing channel are considered to be getting weaker in the monetary transmission mechanism.   Keywords : Monetary Transmission Mechanism, Credit Channel, Dual Financial System JEL Classification: E51, E52, E58

scholarly journals TRANSMISSION CHANNEL AND EFFECTIVENESS OF DUAL MONETARY POLICY IN INDONESIA

2012 ◽  
Vol 14 (3) ◽  
pp. 269-298 ◽  
Author(s):  
Ascarya Ascarya
Keyword(s):  
Interest Rate ◽  
Positive Impact ◽  
Transmission Mechanism ◽  
The Other ◽  
Monetary Transmission ◽  
Transmission Channel ◽  
Monthly Data ◽  
Monetary Transmission Mechanism ◽  
Monetary System ◽  
Pass Through

This paper investigates the transmission mechanism of dual monetary system from conventional and Islamic policy rates to inflation and output. We apply Granger Causality and VAR methods on monthly data of Indonesian banking, during the period of January 2003 to December 2009. The result shows that conventional policy rate is transmitted to output and inflation, while Islamic policy rate are not. In addition, the shock of conventional interest rate, credit and interbank rate give a negative and permanent impacts on inflation and output, except for SBI (Certificate of Bank Indonesia) with positive impact to inflation  though negatively affect the output. On the other hand, the shock of PLS, financing and Islamic interbank PLS, as well as SBIS (Central Bank Shariah Certificate) give positive and permanent impacts on inflation and output. Keywords: Monetary transmission mechanism, Interest rate pass through, Conventional Banking, Islamic BankingJEL Classification: E43, E52, G21, G28

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