scholarly journals Effectiveness of Monetary Policy Transmission Mechanism in Indonesia

JEJAK ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 189-206
Author(s):  
Ripdian Nisa M. N ◽  
Banatul Hayati ◽  
Edy Yusuf A. G
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Time Lag ◽  
Impulse Response Function ◽  
Transmission Mechanism ◽  
Monetary Policy Transmission ◽  
Policy Transmission ◽  
Monetary Policy Transmission Mechanism ◽  
Effectiveness Of Monetary Policy ◽  
Effective Channel

This research aimed to analyse monetary mechanism effectivity to manage inflation in Indonesia through interest rate channel, credit channel, and expectation inflation channel. The research used Vector Error Correction Model (VECM) to analyze effectiveness of monetary policy transmission mechanism in Indonesia. The most effective channel was measured by result of Impulse Response Function and Variance Decomposition. They are: (1). The fastest time lag needed since the shock of monetary instruments (rSBI) until the realization of final target of monetary policy (inflation). (2). How strong the variables in each channel response the shock of SBI interest rate and other variable. The data used in this research is quarterly time series dara from 2005Q1 until 2016Q4. The results of this research show that the most effective channel in managing inflation during 2005Q1 until 2016Q4 is inflation expectation channel.

scholarly journals PERBANDINGAN EFEKTIVITAS MEKANISME TRANSMISI KEBIJAKAN MONETER ANTARA JALUR SUKU BUNGA DENGAN JALUR NILAI TUKAR TERHADAP SASARAN AKHIR INFLASI

Media Ekonomi ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 1
Author(s):  
Martin Simanjuntak ◽  
Budi Santosa
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Time Lag ◽  
Transmission Mechanism ◽  
Monetary Policy Transmission ◽  
Policy Transmission ◽  
Monetary Policy Transmission Mechanism ◽  
The Interest Rate ◽  
Interest Rate Channel

<em>This result discusses the effectiveness of the transmission mechanism of monetary policy by comparing the interest rate channel with the exchange rate channel towards the final inflation taget. </em><em>This study using regression method Vector Error Correction Model (VECM). In the study of this monetary policy transmission mechanism using secondary data based on monthly time series, namely from January 2011 to December 2015. The data is obtained from Bank Indonesia Financial Economic Statistics (SEKI).</em> <em>From the results of this research, the transmission mechanism of monetary policy exchange rate channel is more effective than monetary policy transmission mechanism interest rate channel; it is proven through the test impulse responses and variance decomposition test. In the exchange rate channel time lag until reach the final target of monetary policy (inflation) is 4 months while for the interest rate channel time lag until reach the final target of monetary policy is 5 months. RPUAB very suitable for use as an operational target in the monetary policy transmission mechanism cause rapid and strong response from RPUAB in responding the shock of monetary policy. RPUAB is the biggest variable that dominates the formation of inflation.</em>

Analisis Efektivitas Kebijakan Moneter Dalam Perspektif Konvensional dan Syariah Terhadap Inflasi di Indonesia Tahun 2013-2020

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Rindani Dwihapsari ◽  
Mega Rachma Kurniaputri ◽  
Nurul Huda
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Forecast Error ◽  
Impulse Response Function ◽  
Transmission Mechanism ◽  
Average Yield ◽  
Monetary Policy Transmission ◽  
Policy Transmission ◽  
Monetary Policy Transmission Mechanism ◽  
The Interest Rate

This scientific research was conducted to see the effect and how the effectiveness of the monetary policy transmission mechanism from both conventional and sharia perspectives to tackle inflation in 2013-2020. The conventional monetary policy transmission mechanism can be seen from the total conventional bank credit (LOAN), the interest rate on Bank Indonesia Certificates (SBI), and the average yield on Government Securities (SUN). Meanwhile, sharia monetary policy can be seen from the yield rates on Bank Indonesia Sharia Certificates (SBIS), total Islamic bank financing (FINC) and the average yield of State Sharia Securities (SBSN). Through the Vector Error Correction Model method, it is found that the SBI results have a significant negative effect so that if the interest rate increases by one percent it will reduce inflation. Unlike the case with the effectiveness as measured by the Impulse Response Function (IFR) and Forecast Error Variance Decomposition (FEVD), where conventional monetary policy is fast in controlling the inflation rate compared to Islamic monetary policy. However, the magnitude of Islamic monetary policy is greater than conventional monetary policy.

scholarly journals ANALISIS EMPIRIS EFEKTIVITAS MEKANISME TRANSMISI KEBIJAKAN MONETER DI INDONESIA MELALUI JALUR EKSPEKTASI INFLASI PERIODE 1990:2-2007:1

2018 ◽  
Vol 13 (3) ◽  
pp. 288-307
Author(s):  
M. Natsir Natsir
Keyword(s):  
Monetary Policy ◽  
Time Lag ◽  
Impulse Response Function ◽  
Secondary Data ◽  
Monetary Policy Transmission ◽  
Inflation Expectation ◽  
Policy Transmission ◽  
Monetary Policy Transmission Mechanism ◽  
Auto Regression ◽  
Effectiveness Of Monetary Policy

This study used Vector Auto regression (VAR) model to analyze effectiveness of monetary policy transmission mechanism in Indonesia through Inflation Expectation Channel period 1990:2-2007:1. That effectiveness was measured by two indicators, they are: (1) : (1) how fast or how many time lag needed since the shock of monetary instruments (rSBI) until the realisation of final target of monetary policy (inflation). (2) How strong the variables of inflation expectation line response the shock of SBI interest rate and other variable. This study used secondary data issued by Bank Indonesia and BPS as well as from International Finance Statistic (IFS). The result of the study shows that response velocity of variable in Inflation Expectation Channel towards shock instrument of monetary policy (rSBI) until reach the final target or time tag about 12 quarterly or twenty six months. While impulse response function of variables in this channel to the shock instrument of monetary policy (rSBI) is quiet weak and the main channel that is inflation expectation and exchange rate are not able to explain diversity final target of monetary policy (inflation) about 33,88%, while variable of inflation expectation only able to explain diversity of inflation about 15,03%. Meanwhile, we still able economically to conclude that mechanism of monetary policy transmission through Inflation Expectation Channel is effective to reach the final target of monetary policy of Indonesia period of 1990:2-2007:1

scholarly journals ANALISIS EMPIRIS EFEKTIVITAS MEKANISME TRANSMISI KEBIJAKAN MONETER DI INDONESIA MELALUI JALUR EKSPEKTASI INFLASI PERIODE 1990:2-2007:1

2009 ◽  
Vol 13 (3) ◽  
pp. 288
Author(s):  
Muhammad Natsir
Keyword(s):  
Monetary Policy ◽  
Time Lag ◽  
Impulse Response Function ◽  
Secondary Data ◽  
Monetary Policy Transmission ◽  
Inflation Expectation ◽  
Policy Transmission ◽  
Monetary Policy Transmission Mechanism ◽  
Auto Regression ◽  
Effectiveness Of Monetary Policy

This study used Vector Auto regression (VAR) model to analyze effectiveness of monetary policy transmission mechanism in Indonesia through Inflation Expectation Channel period 1990:2-2007:1. That effectiveness was measured by two indicators, they are: (1) : (1) how fast or how many time lag needed since the shock of monetary instruments (rSBI) until the realisation of final target of monetary policy (inflation). (2) How strong the variables of inflation expectation line response the shock of SBI interest rate and other variable. This study used secondary data issued by Bank Indonesia and BPS as well as from International Finance Statistic (IFS). The result of the study shows that response velocity of variable in Inflation Expectation Channel towards shock instrument of monetary policy (rSBI) until reach the final target or time tag about 12 quarterly or twenty six months. While impulse response function of variables in this channel to the shock instrument of monetary policy (rSBI) is quiet weak and the main channel that is inflation expectation and exchange rate are not able to explain diversity final target of monetary policy (inflation) about 33,88%, while variable of inflation expectation only able to explain diversity of inflation about 15,03%. Meanwhile, we still able economically to conclude that mechanism of monetary policy transmission through Inflation Expectation Channel is effective to reach the final target of monetary policy of Indonesia period of 1990:2-2007:1

Monetary Policy Transmission Mechanism in Romania Over the Period 2001 to 2012

2019 ◽  
pp. 131-145
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Empirical Evidence ◽  
Transmission Mechanism ◽  
Communist Country ◽  
Monetary Policy Transmission ◽  
Policy Transmission ◽  
Emerging Country ◽  
Monetary Policy Transmission Mechanism ◽  
The Interest Rate

This chapter aims to provide additional empirical evidence on monetary policy transmission mechanism in Romania over the period 2001 to 2012 based on a BVAR analysis with a KoKo Minnesota/Litterman prior. The importance of the central bank is rising in Romania considering its main attribution to control the interest rate in accordance with its objectives. The empirical evidence provides a significant contribution to literature taking into account the characteristics of the selected emerging country, i.e. Romania, a former communist country in Central and Eastern Europe.

scholarly journals Monetary Policy Transmission under Inflation Targeting in Mongolia

2018 ◽  
Vol 10 (2) ◽  
pp. 1 ◽  
Author(s):  
Erdenechuluun Khishigjargal
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Targeting ◽  
Transmission Mechanism ◽  
Monetary Policy Transmission ◽  
Rate Transmission ◽  
Policy Transmission ◽  
Monetary Policy Transmission Mechanism ◽  
The Interest Rate

This article aims to examine the monetary policy transmission mechanism under the inflation targeting in Mongolia for the period from June 2007 to August 2017 by applying a recursive vector-autoregressive model. Under the inflation targeting framework, the Bank of Mongolia has established the interest rate corridor since February 2013 for the purpose of improving the interest rate channel of the transmission mechanism. The study then contributes to the literature by assessing whether the interest rate corridor has really improved the policy rate transmission effects by comparing the effects between the pre-corridor period (from June 2007 to February 2013) and the post-corridor period (from March 2013 to August 2017). The main findings of this study are as follows. First, in the post-corridor period the effect of policy rate is clearly transmitted to the lending rate and inflation rate through the responses of interbank market rate, whereas the pre-corridor period does not represent any significant interest rate transmission effects. This outcomes implies that the interest rate corridor has contributed to enhancing monetary policy transmission mechanism. Second, the responses of exchange rate and industrial production to the policy rate shock are not significant even after the adoption of the interest rate corridor. This insignificance might come from the stick policy rate to stabilize the exchange rate, so-called a “fear of floating”.

scholarly journals Monetary Policy Transmission Mechanism in Namibia: A Bayesian VAR Approach

2017 ◽  
Vol 9 (5) ◽  
pp. 169-184
Author(s):  
Johannes PS Sheefeni
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Asset Price ◽  
Transmission Mechanism ◽  
Real Effective Exchange Rate ◽  
Series Data ◽  
Monetary Policy Transmission ◽  
Policy Transmission ◽  
Monetary Policy Transmission Mechanism

This study analyzed the interest rate channel, credit channel, exchange rate channel and asset price channel for monetary policy transmission mechanism in Namibia. The idea behind this study is to have a comprehensive study that covers a variety of channels for monetary policy transmission mechanism. The study utilized a Bayesian vector autoregression (BVAR) technique on quarterly time-series data covering the period 2000:Q1 to 2016:Q4. In particular, the validity of the data used is checked and verified by using two sets of prior distributions suggested by Sims and Zha as well as prior distribution of Koop and Korobilis. The variables used in this study are real output (Yt), real effective exchange rate (Et), inflation rate (P t), repo rate (Rt), housing price index (Ht) and credit extended to private sector (Lt). The findings revealed that interest rate and credit channels remain important in the transmission mechanism to this day. Notably the exchange rate and asset price channels are also slowly gaining prominence in monetary policy transmission mechanism. Therefore, the study provides useful information to the monetary authorities regarding the process of transmission mechanisms. This is quite important especially that the Central Bank (Bank of Namibia) is very serious about financial stability within the financial system, given the fragility of the financial systems in the world due to financial crisis.   

scholarly journals Var analysis and monetary transmission mechanism in Kazakhstan

2020 ◽  
Vol 9 ◽  
Author(s):  
Aliya Rakisheva ◽  
A Kalikhan ◽  
Hayot Berk Saydaliev
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Transmission Mechanism ◽  
Monetary Policy Transmission ◽  
Lending Channel ◽  
Policy Transmission ◽  
Monetary Policy Transmission Mechanism ◽  
The Interest Rate ◽  
Interest Rate Channel

We explore monetary policy transmission by estimating VAR impulse response functions to illustrate the Kazakhstan economy’s response to unexpected changes in policy.This article helps to evaluate the work of the main channels of the monetary policy transmission mechanism, namely, the work of the interest rate channel, exchange rate, and lending channel in the  Republic of Kazakhstan, by the help of vector regression model (VAR). It was revealed that the  main transmission channel in the study period from 2005 to 2019 in Kazakhstan was the exchange  rate channel.The other two remaining channels of the monetary policy transmission mechanism (the bank lending channel and the interest rate channel) were of secondary importance.We find a significant exchange rate pass-through to prices, and interest rate policy following, rather than leading, financial market developments.  Our estimated monetary policy reaction function shows the central bank striking a balance between real exchange rate stability and containing inflation. We discuss dollarization, administrative interventions, and other features complicating monetary policy transmission, review specific constraints and vulnerabilities, and conclude with observations on possible measures that could raise the effectiveness of monetary policy in Kazakhstan.

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