scholarly journals PENGARUH KEBIJAKAN MONETER DAN FISKAL TERHADAP PENGANGGURAN DI INDONESIA

2021 ◽  
Vol 4 (1) ◽  
pp. 433-442
Author(s):  
Triyas Ayu Hadi Setiowati ◽  
Ris Yuwono Yudo Nugroho
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Impulse Response ◽  
Unemployment Rate ◽  
Government Spending ◽  
Time Series Data ◽  
Variance Decomposition ◽  
Series Data ◽  
Tax Revenue ◽  
The Impact

The purpose of this study is to analyze the impact of monetary policy as seen from the BI Rate and the money supply (M2, and fiscal policy as seen from government spending and tax revenue in influencing the unemployment rate in Indonesia. The approach used in this research is quantitative. The data used are the BI Rate, the money supply (M2), government spending, tax revenue and unemployment in the form of time series data in an annual form from 1995 to 2019. The method used in this study is the Vector Auto analysis model. Regression (VAR). The stages used in this research test are a stationarity test, optimum lag test, VAR stability test, impulse response test, and variance decomposition test. The results of the impulse response indicate that the unemployment variable responds most to the shock of the interest rate variable (monetary policy) compared to other variables. The results of variance decomposition indicate that the contribution given by the BI Rate to the unemployment rate is the most significant relative to the contribution given by the variable money supply (M2), government spending, and tax revenue

IMPACT OF MONETARY POLICY TARGETS ON CAPITAL MARKET DEVELOPMENT IN NIGERIA

2021 ◽  
Vol 8 (1) ◽  
pp. 85-95
Author(s):  
Abdulkarim Musa ◽  
◽  
Uwaleke Uche ◽  
Nwala Nneka ◽  
◽  
...  
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Capital Market ◽  
Time Series Data ◽  
Market Development ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study empirically examines the impact of monetary policy targetson capital market development in Nigeria from 1986-2018. Time series data and econometric tools were used to test for the stationarity and causality effect. The Auto-Regressive Distributed Lag Model (ARDL) and Error Correction Model (ECM) techniques were used to examine the short-run and long-run impact and relationship between Monetary Policy and Capital Market Development in Nigeria. The study revealed that both in the long run and short run Exchange Rate (EXCHR), Inflation Rate (INFR), and Interest Rate in Nigeria (INTR)were negatively related to Capital Market Development (CAMKTD) in Nigeria and they were statistically insignificant in explaining changes in Capital Market Development (CAMKTD) in Nigeria. On the other hand, inthe long run, Money Supply was positively related to Capital Market Development (CAMKTD) in Nigeria and was statistically significant at a 5% level significant while Money Supply (M2) was positively related to Capital Market Development (CAMKTD) in Nigeria both in the long run and short-run and was statistically significant at 5% level of significance. Therefore, the study recommends that government should improve the efficiency and effectiveness of the money supply in Nigeria since it was statistically significant in determining the improvement of Capital Market Development (CAMKTD) in Nigeria.

scholarly journals The influence of indirect monetary tools on price and output: the case of Jordan (1993-2013)

2017 ◽  
Vol 12 (1) ◽  
pp. 8-13
Author(s):  
Usama R. Alqalawi ◽  
Hail A. Jemel ◽  
Ahmad A. Alwaked ◽  
Rasha M.S. Istaiteyeh
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Time Series Data ◽  
Jel Classification ◽  
Series Data ◽  
Policy Tools ◽  
Open Market ◽  
Output Level ◽  
Repurchase Agreements ◽  
The Impact

This research aims to identify the main monetary policy tools in Jordan, then, to estimate their effect on price and output level. A time series data covering the period between 1993 and 2013 were utilized to estimate the targeted models using two-step regression. Firstly, the authors measured the impact of indirect policy tools on money supply and, secondly, they determined the impact of money supply on price and output levels. Results show that open market operations of the Central Bank of Jordan through issuance of certificates of deposit, especially at the beginning of 1993 and the repurchase agreements have been effective in influencing the money supply in Jordan. Unfortunately, this policy was not able to control the real or nominal output level even though it has an effect on the price level. Keywords: monetary policy, open market operations, required reserve ratio, discount rate, price and output. JEL Classification: E31, E42, E52, E58

scholarly journals A MONETARY ANALYSIS OF GHANA: EXAMINING THE IMPACT AND THE CAUSAL RELATIONSHIP BETWEEN MONETARY POLICY AND INFLATION IN GHANA

2020 ◽  
Vol 4 (1) ◽  
pp. 1-14
Author(s):  
Edmund Obeng Amaning ◽  
Ali Napari Seidu
Keyword(s):  
Monetary Policy ◽  
Interest Rates ◽  
Causal Relationship ◽  
Money Supply ◽  
Time Series Data ◽  
Positive Impact ◽  
Negative Relationship ◽  
Theory And Practice ◽  
Series Data ◽  
The Impact

Purpose: The main objective of the study was to examine the impact and the causal relationship between monetary policy and inflation in Ghana.Methodology: Annual time series data spanning from 1985 to 2017 with Auto Regressive Distributed Lagged (ARDL) model were employed for the analysis.Findings: The outcome from the study shows that, monetary policy rate had insignificant negative relationship with inflation in both the short and the long run. Again, interest rate, domestic investment and money supply were found to have significant positive impact on inflation in both the long and the short run for a specific period chosen for the study.The causal relationship shows that monetary policy rate granger causes money supply within the period understudyUnique contribution to theory and practice: The study recommends that policy makers need to keenly consider the levels of money supply in Ghana so as to ensure a stable retail price levels. The Government of Ghana needs to evaluate the prevailing levels of retail prices and set the interest rates on the 91-day Treasury bills because they are majorly treated as risk free rate hence determines other interest rates and inflation levels in Ghana.

scholarly journals KOINTEGRASI DAN KAUSALITAS INDEKS HARGA SAHAM GABUNGAN DAN DOW JONES INDUSTRIAL INDEX

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Paulus Sulluk Kananlua
Keyword(s):  
Time Series ◽  
Impulse Response ◽  
Unit Root ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Unit Root Test ◽  
Variance Decomposition ◽  
Cointegration Test ◽  
Series Data ◽  
The Impact

This research is obviously intended to analyze the impact of global financial crisis which happened in America and surrogated by the Dow Jones Industrial Index (DJI) towards the Indonesian Stock Exchange, represented by the composite index (IHSG). The study is conducted by using time series data ranging from January 2007 to July 2014. Data used consists of 60 months observation. In order to examine the time series data, Vector Autoregressive Model (VAR) is employed. We run the statistical tool to estimate the respon caused by the shock of research variable. Before estimating the model of Vector Autoregression (VAR), the data used must following the unit root test, cointegration test, granger causality test, and then runned by using VAR model. Our result reveals that the data is not stationer at level, but stationer at first difference. The interpreted estimation output resulting from impulse response function and variance decomposition show that DJI’s respons is much bigger caused by the shock from DJI itself with average number stand on 99.36%. Further, the proportion of IHSG on average is 0.64%. Meanwhile the respon of IHSG sparked by the DJI is 53.10% on average. The remained value as 46.90% is caused by the shock from IHSG.  Key Words: DJI, IHSG, VAR, Unit Root Test, Cointegration Test, Granger Test, Impulse Response,Variance Decomposition

scholarly journals The Impact of Monetary Policy and Tax Revenues on Foreign Direct Investment Inflows: An Empirical Study on Jordan

2020 ◽  
Vol 68 (6) ◽  
pp. 1011-1018
Author(s):  
Shahriyar Mukhtarov ◽  
Mustafa Mohammad Alalawneh ◽  
Mayis Azizov ◽  
Farid Jabiyev
Keyword(s):  
Monetary Policy ◽  
Foreign Direct Investment ◽  
Interest Rate ◽  
Money Supply ◽  
Direct Investment ◽  
Developing Economies ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Tax Revenue ◽  
The Impact

The study examines the impact of monetary policy (proxied by money supply and interest rate) and tax revenue on foreign direct investment (FDI) in Jordan employing time series data period from 1991 to 2017. The Vector Error Correction Model (VECM), the Canonical Cointegrating Regression (CCR) and the Fully Modified Ordinary Least Squares (FMOLS) methods are applied in empirical estimations. Estimation results reveal that money supply has a positive and statistically significant impact on the FDI while, tax revenue has a negative impact on FDI in Jordan. Also, we find that the impact of interest rate is statistically insignificant.The results of current study are useful for the policymakers to formulate appropraite policies and support the literature for further researches in the case of developing economies.

scholarly journals Impact of Monetary Policy on Bank Credit in Nigeria

2020 ◽  
Vol 3 (3) ◽  
pp. 196-205
Author(s):  
Alade Ayodeji Ademokoya ◽  
Mubaraq Sanni ◽  
Lukman Adebayo Oke ◽  
Segun Abogun
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Time Series Data ◽  
Least Square ◽  
Bank Credit ◽  
Series Data ◽  
Credit Creation ◽  
Lending Rate ◽  
Ordinary Least Square Regression ◽  
The Impact

Objective – The aim of this study is to examine the impact of monetary policy on credit creation ability of banks in Nigeria. Specifically, it investigates the impact of monetary policy rate, money supply, liquidity ratio, and change in maximum lending rate on bank credit in Nigeria. Design/methodology – A monthly time series data from 2007-2019 were sourced from the Central Bank’s of Nigeria statistical bulletin. The sourced data was subjected to multiple regression analysis using the fully modified ordinary least square regression to estimate the parameters of the model. Results – Findings reveal that money supply significantly and positively influence bank credit in Nigeria; while liquidity ratio significantly but negatively influence bank credit in Nigeria. On the contrary, monetary policy rate and maximum lending rate were found not to significantly affect bank credit in the case of Nigeria.Policy Recommendation - Study therefore, recommend that monetary authorities especially, the Central Bank of Nigeria should pay more attention to lowering the liquidity ratio while increasing money supply in order to engender banks credit creation ability and further stimulate the Nigerian economy for growth.

scholarly journals Effectiveness and Forecasting of Interest Rate Reversal BI 7-Day Repo Rate in Indonesia: Lower Bound on Monetary Policy?

2018 ◽  
Vol 9 (1) ◽  
pp. 171-180
Author(s):  
I Gede Sanica ◽  
I Ketut Nurcita ◽  
I Made Mastra ◽  
Desak Made Sukarnasih
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Time Series Data ◽  
Moving Average ◽  
Series Data ◽  
Autoregressive Integrated Moving Average ◽  
Implementation Of Monetary Policy ◽  
Repo Rate ◽  
The Right ◽  
The Impact

AbstractThis study aims to analyze effectivity and forecast of interest rate BI 7-Day Repo Rate as policy reference in the implementation of monetary policy. The method was used in this study contains Vector Autoregression (VAR) to estimate effectivity of BI 7-Day Repo Rate and Autoregressive Integrated Moving Average (ARIMA) to forecast of BI 7-Day Repo Rate. Period of observation in this study used time series data during 2016.4 until 2017.6. The result of this research shows that the transformation of the BI Rate to BI 7-Day Repo Rate is the right step in the monetary policy operation in the effort to reach deepening of the financial market and strengthen the interbank money market structure so that it will decrease loan interest rate and encourage credit growth. The effectiveness of the use of BI 7 Day-Repo Rate on price stability is indicated by the positive relationship between the benchmark interest rate and inflation compared to the BI Rate. The impact of BI 7-Day Repo Rate on economic growth that tends to be positive. Forecasting the use of BI 7-Day Repo Rate shows good results with declining value levels, so this will encourage deepening the financial markets.

Global Patents on 3D Printing: Revelations Based on Vector Autoregression Analysis for Three Decades

2016 ◽  
Vol 13 (06) ◽  
pp. 1750004 ◽  
Author(s):  
Rohit S. Kannattukunnel
Keyword(s):  
3D Printing ◽  
Impulse Response ◽  
Response Function ◽  
Time Series Data ◽  
Vector Autoregression ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Series Data ◽  
Vec Model ◽  
The Government

Engineers and designers from automotive and aerospace sectors have been using 3D printing (3DP) for decades to build prototypes. However, 3DP became popular only recently. This paper is divided into three sections. Section 1 is introductory in nature, which deals with current trends, the modeling process of printing and deliberation on different categories of 3DP. Section 2 deals with the research methodology. An exquisite technique to study innovation dealing with time series data, called the vector autoregression (VAR), is performed to analyze the world patent data on 3DP, based on the information provided by the Government of UK and the International Monetary Fund (IMF). Section 3 attempts to forecast future trends on 3DP by using two techniques viz. impulse response function and variance decomposition. The VAR analysis performed revealed that GDP is not directly instrumental in the advancement in patenting of 3DP technology. Results captured by way of impulse response function suggest that when a shock is given to PR itself, it decreases sharply, whereas when a shock is given to investment, PR undergoes a steady decline. Thus, if there is any adverse shock imparted on investments, it directly reduces the patent ratio. Lastly, when an impulse is given to GDP, PR continuously increases, which implies that increase in GDP causes hike in investment which ultimately increases PR. The results of variance decomposition indicate that in the initial periods, PR itself explains the maximum variance, followed by the GDP and to the least by investment. The changes observed with the trend of explanatory character of variance imply that more investments in technology are instrumental in increasing patent ratio in the G7 countries as per the vector error correction (VEC) model developed here. Though during the nascent stage of emerging technologies investment in technology may not necessarily increase the patent ratio, the result obtained brings to light interesting insights.

scholarly journals Comparison of the impact of lending and inflation rates on economic growth in Vietnam and China

2020 ◽  
Vol 15 (4) ◽  
pp. 193-203
Author(s):  
Doan Van Dinh
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Time Series Data ◽  
Close Correlation ◽  
Least Square ◽  
Series Data ◽  
Lending Rate ◽  
Lending Rates ◽  
The Impact

Inflation and lending rates are two important macroeconomic indicators as they affect economic growth. The correlation between the inflation rate and the lending rate in Vietnam and China is analyzed to determine whether the lending rate causes inflation or not. An ordinary least square model (OLS) and a unit root test are applied to check the correlation and cointegration related to the inflation and lending rates to avoid spurious regression. The research time series data were collected from 1996 to 2017. The correlation of Vietnam’s variables is 56%, the correlation of China’s variables is 55%, which is a close correlation. The empirical cointegration test results for Vietnam and China are suitable for two research models. The relationship between these two indicators influences each other. In the short term, inflation stimulates economic growth through loose monetary policy through the lending rate. However, in the long term, if the money supply increases continuously, inflation will slow economic growth and increase bad debt. The empirical results are to make accurate forecasts and determine monetary policy for micro-managers who set the goal of sustainable economic growth and have a strategy for economic development in the short and long term.

scholarly journals Does government spending reduce poverty in Nigeria? Evidence from Auto-Regressive Distributed Lag Specification.

2020 ◽  
Vol 7 (2) ◽  
pp. 86
Author(s):  
Olufemi Samuel Adegboyo
Keyword(s):  
Government Spending ◽  
Time Series Data ◽  
Capital Expenditure ◽  
Transportation Cost ◽  
Series Data ◽  
Distributed Lag ◽  
Auto Regressive ◽  
The Government ◽  
Transfer Capital ◽  
The Impact

This paper analyses the impact of government spending on poverty reducing in Nigeria for the period 1981 to 2017 making use of annual time series data. The study employs the Auto-Regressive Distributed Lag (ARDL) approach. The result of the study revealed that economic service recurrent expenditure (ESRX), social and community recurrent expenditure (SCSRX), Transfer recurrent expenditure (TRX) reduces poverty while transfer capital expenditure (TCX) and administrative recurrent expenditure (ADRX) escalate poverty. Consequently, the study recommends that Government should embark on provision of food subsidies, subsidies farm input for farmers, subsidies transportation cost. Furthermore, government should endeavor to pay pensioners all their entitlements including gratuities as at when due without any delay, government should also be giving stipend to the unemployed and disabled, more poverty alleviating programs should be organize Also, the huge cost of maintaining the government should be reduced by reducing the numbers of political appointees to a reasonable size.

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