scholarly journals External Debt Burden and Infrastructural Development Nexus in Nigeria: An ARDL Approach (1981-2020)

2021 ◽  
Author(s):  
Chinonye Emmanuel Onwuka
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Rate ◽  
External Debt ◽  
Granger Causality Test ◽  
Causality Test ◽  
Debt Burden ◽  
Infrastructural Development ◽  
Long Run ◽  
Domestic Debt

Abstract This study focused on external debt burden and infrastructural development nexus in Nigeria using data spanning between the periods 1981 to 2020 by employing the use of Autoregressive Distributed Lag Model (ARDL) and granger causality test as the major statistical techniques of analysis. From the findings, the coefficient of error correction term shows that about 70 percent of the discrepancy between the actual and the long run or equilibrium value of infrastructural development is corrected or eliminated each year. The coefficient of determination (R2) is 0.680 which shows that about 68 percent variations in the infrastructural development were explained by the independent variables. The Augmented Dickey Fuller (ADF) unit root test shows that all variables were stationary at first difference. The results for the Bounds test reveal that there is a long run relationship among the variables. This is because the F-statistics value (5.194) is greater than upper Bounds critical values at 5% level of significant. The ARDL results show that external debt, domestic debt and inflation rate have a negative impact on infrastructural development in the long run while exchange rate and interest rate has a positive effect on infrastructural development in the long run. Also, domestic debt and exchange rate were found to have a significant impact on infrastructural development while external debt, inflation rate and interest rate were found to be insignificant in the long run. Furthermore, the granger causality test results indicate while there is no causality between external debt and infrastructural development, there seems to be a unidirectional causality between domestic debt and infrastructural growth in Nigeria. The study concludes that federal government of the country should cut down excessive borrowings and that the existing ones are invested in projects that would eventually generate enough returns to defray such debts accordingly. Also, an adoption of policy framework that will ensure macroeconomic stability such as price stability, job creation, increased output, political stability, etc. becomes fundamental in getting rid of heavy reliance on external debt in the country.

scholarly journals Kausalitas Ekspor Indonesia ke Tiongkok dengan Inflasi Indonesia, Suku Bunga Dasar Tiongkok, dan Nilai Tukar Indonesia

2018 ◽  
Vol 6 (4) ◽  
pp. 475-482
Author(s):  
Teddy Aldwin Leonard
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Granger Causality ◽  
Inflation Rate ◽  
Granger Causality Test ◽  
Test Results ◽  
Causality Test ◽  
Causality Relationship ◽  
The Exchange Rate

Tujuan penelitian ini adalah mengetahui hubungan kausalitas antara total nilai ekspor Indonesia ke Tiongkok dengan tingkat suku bunga Tiongkok, tingkat inflasi Indonesia, dan nilai tukar Rupiah Indonesia terhadap Yuan China. Penelitian ini menggunakan uji kausalitas granger dengan variabel total nilai ekspor Indonesia ke Tiongkok, tingkat inflasi Indonesia, tingkat suku bunga dasar Tiongkok, dan nilai tukar Rupiah Indonesia terhadap Yuan China untuk melihat hubungan kausalitas antar variabel. Hasil uji kausalitas granger menunjukkan hasil bahwa total nilai ekspor Indonesia ke Tiongkok memiliki hubungan satu arah dengan variabel tingkat suku bunga Tiongkok dan variabel nilai tukar Rupiah Indonesia terhadap Yuan China, namun tidak terdapat hubungan kausalitas dengan variabel tingkat inflasi Indonesia. Hubungan satu arah antara total nilai ekspor Indonesia ke Tiongkok dengan tingkat suku bunga Tiongkok adalah total nilai ekspor Indonesia ke Tiongkok menyebabkan perubahan tingkat suku bunga Tiongkok, sedangkan hubungan satu arah antara total nilai ekspor Indonesia ke Tiongkok dengan nilai tukar Rupiah Indonesia terhadap Yuan China adalah nilai tukar Rupiah Indonesia terhadap Yuan China menyebabkan perubahan total nilai ekspor Indonesia ke Tiongkok. The purpose of this study is to know the causality relationship between the total value of Indonesia's exports to Tiongkok with Tiongkok's interest rate, the inflation rate of Indonesia, and the exchange rate of Indonesian Rupiah against the Yuan China. This study uses granger causality test with total variable of Indonesian export value to Tiongkok, Indonesia inflation rate, interest rate of Tiongkok, and Indonesian Rupiah exchange rate to Yuan China to see the relation of causality among variables. Granger causality test results show that the total value of Indonesia's export to Tiongkok has unidirectional relationship with variable of Tiongkok interest rate and variable of Indonesian Rupiah exchange rate to Yuan China, but there is no causality relationship with Indonesian inflation rate variable. The unidirectional relationship between the total value of Indonesia's exports to Tiongkok and the Tiongkok interest rate is the total value of Indonesia's exports to Tiongkok causing a change in the Tiongkok interest rate, while the unidirectional relationship between the total value of Indonesia's exports to Tiongkok and the Indonesian rupiah against the Yuan China is the value The Indonesian rupiah exchange rate against the Yuan China led to a change in the total value of Indonesia's exports to Tiongkok

scholarly journals Modeling The Relationships Between Export, Import, Inflation, Interest Rate, and Rupiah Exchange

2020 ◽  
Vol 3 (3) ◽  
pp. 247-262
Author(s):  
Nina Valentika ◽  
Vivi Iswanti Nursyirwan ◽  
Ilmadi Ilmadi
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Short Term ◽  
Variable Model ◽  
Causality Test ◽  
Significance Level ◽  
Long Run

This research was a modification of research by Catalbas (2016) and Pratikto (2012). The model that can separate long-term and short-term components are the Vector Error Correction Model (VECM). This study aimed to model export, import, inflation, interest rates, and the rupiah exchange rate using VECM and to test the causality between variables using the Granger Causality test. The inter-variable model obtained in this study was VECM with lag 2 using a deterministic trend with the assumption of none intercept no trend and two cointegrations. In export and import, there was an adjustment mechanism from the short-term to the long-term. This research model was appropriate to forecast the export and import where VECM with export and import as the target variables, the cointegration equation (long-run model) for  cointegration equation (long-run model) for Based on the Granger Causality test, it was found that there was a one-way relationship between exchange rates and inflation, export and interest rates, export and import, inflation and export, and import and the interest rate at the significance level of 5%.

scholarly journals PENGUJIAN KAUSALITAS ANTARA VARIABEL MAKROEKONOMI DENGAN RETURN PASAR DI BURSA EFEK INDONESIA : SEBUAH PENDEKATAN VECTOR AUTO

Media Ekonomi ◽  
2017 ◽  
Vol 19 (3) ◽  
pp. 23
Author(s):  
Anggi Hapsari Nurullita
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Granger Causality ◽  
Unit Root ◽  
Unit Root Test ◽  
Granger Causality Test ◽  
Causality Test ◽  
Market Return ◽  
Vector Auto Regression ◽  
Auto Regression

<p>Indicators of macroeconomic have major impact on capital markets in general and stocks in particular. Influence of these indicators can be positive or negative. Vector Auto Regression (VAR) is a method of analysis used to predict the time series variable and analyze the dynamic impact factor interference in a system variable. VAR analysis is very useful to assess the linkages between economic variables. This research aims to see the influence of iIndicators of macroeconomic such as the exchange rate (EXCHANGE), interest rate Bank Central of Indonesia Certificates (SBI) and rate of inflation (INFLATION) to market return (REIHSG) in Indonesian Stock Exchange in the period 2004:1-2011:10. Data obtained from the Monthly Stock Price Index Statistics JSX. This research appllying several stages of testing as follows: unit root test, the optimal lag test, Granger causality test and Vector Auto Regression model (VAR). The results of unit root test in this study suggests that the data used for processing in the first degree and VAR Granger test because only the stationary stock index return variable in zero degree (level). On the test results suggested the optimal lag is the lag 3. On the Granger causality test is known that the Granger test variable rate (EXCHANGE) has a one-way impact or the exchange rate (EXCHANGE) affect market return (REIHSG) interest rate of Bank Central of Indonesia Certificates (SBI) and the rate of inflation (INFLATION) has a two direction or impact mutual Causality. These results indicate that there is a weak Granger causality between interest rates Bank Central of Indonesia Certificates (SBI) and rate of inflation (INFLATION) to market return (REIHSG).<br />Keywords: Vector Auto Regressive (VAR), Macroeconomic, Granger Causality, IHSG stock return</p>

scholarly journals ANALISIS KEBIJAKAN MONETER DALAM MENGENDALIKAN INFLASI DI INDONESIA

2012 ◽  
Vol 1 (2) ◽  
pp. 103
Author(s):  
Suriani Suriani
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Granger Causality ◽  
Unit Root Test ◽  
Good Choice ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The objective of this research is to analize the effects of the variables interest rate, and exchange as one of monetary mecanisme for controlling inflation. The correlation among those variables is cointgration in the long run and short run equilibrium analyzed. In Indonesia, the monetary policy is run by monetary instruments (i.e. interest rates or monetary aggregates) to achieve price stability. This research used Unit Root Test , Cointegration Test, Granger causality and VECM (Vector Error Correction Model) Test. The results of estimation showed that have cointegration among interest rate, exchange rate and inflation in the long run. Granger causality test showed that between inflation and interest rate have no causality relationship, but for inflation and exchange rate have two directions relationship of causality. It’s means, monetary of mecanisme transmition through exchange rate channel can be good choice in making monetary policy to control inflation in Indonesia.

Dynamic linkages among international crude oil, exchange rate and Norwegian stock market: evidence from ARDL bound testing approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shelly Singhal ◽  
Sangita Choudhary ◽  
Pratap Chandra Biswal
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Oil Price ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Integration Test

Purpose The purpose of this paper is to examine the long-run association and short-run causality among oil price, exchange rate and stock market in Norwegian context. Design/methodology/approach This work uses auto regressive distributed lag (ARDL) bound co-integration test to examine the long-run association among international crude oil, exchange rate and Norwegian stock market. Further to test the causality, Toda–Yamamoto Granger causality test is used. Daily data ranging from 1 January, 2011 to 31 December, 2018 is used in this study. Findings Findings of this study suggest the existence of long-run equilibrium relationship among oil price, exchange rate and Norwegian stock market when oil price is taken as dependent variable. Further, this study observes the bi-directional causality between Norwegian stock market and exchange rate and unidirectional causality between oil and Norwegian stock market (from oil to stock market). Originality/value To the best of the authors’ knowledge, this the first study in context of Norway to explore the long-run association and causal relationships among international crude oil price, exchange rate and stock market index. Particularly, association of exchange rate and stock market largely remains unexplored for Norwegian economy. Further, majority of studies conducted in Norwegian setup have considered the period up to year 2010 and association of these variables is found to be time varying. Finally, this study uses ARDL bound co-integration test and Toda–Yamamoto Granger causality test. These methodologies have been used in literature in context of other countries like India and Mexico but not yet applied to study the Norwegian case.

scholarly journals Economic Growth, Domestic Investment, Real Exchange Rate and Trade Openness in India: A multi-cointegration analysis

2016 ◽  
Vol 12 (3) ◽  
pp. 169-184
Author(s):  
Md. Samsur Jaman
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Real Exchange Rate ◽  
Granger Causality ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Domestic Investment ◽  
Causality Test ◽  
Long Run ◽  
Short Run

This study examines the relationships between economic growth, gross domestic investment, real exchange rate and trade openness in Indian Economy using the Johansen –Juselius cointegration test and VEC Granger causality test. The results suggest that there exists a long-run relationship among the variables. All the estimated coefficients of the long-run equation have the correct positive signs and significant at least at the 5 per cent level. Specifically, in the long run, a 1% increase in Gross Domestic Investment (GDI) increases 0.066% in economic growth. Similarly, a 1% increase in trade openness leads to 0.082% increase in economic growth and a 1% increase in real exchange rate leads to 0.26% increase in economic growth. Thus, in the long run, Gross Domestic Investment (GDI), trade openness and real exchange rate have positively impact on economic growth. The results from the VEC Granger causality test suggest that in the short run only economic growth has short run impact on Gross Domestic Investment (GDI). The other variables have no short run impact on each other. Thus, there is a unidirectional causality from economic growth to GDI, but there is no feedback effect.

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Nilai Tukar Rupiah Periode 1999Q1-2019Q2

2020 ◽  
Vol 11 (2) ◽  
pp. 197-209
Author(s):  
Erric Wijaya
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Inflation Rate ◽  
Oil Prices ◽  
Short Term ◽  
Long Run ◽  
The Exchange Rate ◽  
The Interest Rate

The exchange rate plays an important role in influencing the level of Indonesia's international trade towards trading partner countries. This study discusses the factors that influence the exchange rate of the rupiah against dollar both in the short and long term. The variables that are suspected to influence changes in exchange rates are the inflation rate, the interest rate (SBI), world oil prices, the value of exports, and the value of imports. This research was conducted during 1999 quarter 1 to 2019 quarter 2. The results showed that there was a long-term and short-term relationship between inflation rates, interest rates, world oil prices, exports and imports to the exchange rate. In the short term, the interest rate and world oil prices have a significant effect on the exchange rate. In the long run, the inflation rate, world oil prices and imports have a significant effect on the exchange rate.

scholarly journals The Effect of Foreign Debt on The Exchange Rate and Its Impact on Monetary Policy in Indonesia

Media Trend ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. 128-135
Author(s):  
Diah Wahyuningsih ◽  
Uun Primangesti Ningsih
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Granger Causality ◽  
Impulse Response ◽  
Foreign Debt ◽  
Granger Causality Test ◽  
Causality Test ◽  
The Exchange Rate ◽  
The Interest Rate

The objectives of this study are to analyze the effect of foreign debt on the exchange rate that seen from the foreign debt and the exchange rate, and add the variable of inflationary monetary policy and the interest rate of BI Rate to test its impact on monetary policy in Indonesia. The approach in this study is quantitative approach. Data that used are Time Series data from Asian Development Bank and Indonesian World Bank in 1986-2013. Variables that used are exchange rate, foreign debt, inflation and the interest rate of BI Rate. Method that used in this study is Vector Auto Regression (VAR) analysis. The stages that used in this study testing are stationary test, optimal lag test, Granger causality test, impulse response test, and variance decomposite test in Eviews 6 program. The results of Granger causality test of all variables in this study are unlikely to have a relationship and there are only two variables that give an effect.Based on the results of Granger causality, it shows that there is bidirectional between foreign debt variable that has an effect on the exchange rate in Indonesia and the exchange rate has an effect on the foreign debt in Indonesia. While the foreign debt has an effect on the interest rate of BI Rate. For the results of impulse response test show that the exchange rate variable gives the biggest respond to the shock of foreign debt variable, compared to inflation and the interest rate of BI Rate variables. The results of Variance decomposite show that the contribution which given by foreign debt variable on the exchange rate is relatively bigger compared to the contribution that given by inflation and the interest rate of BI Rate variables.

scholarly journals DAMPAK KEBIJAKAN MONETER TERHADAP STABILITAS RUPIAH

2017 ◽  
Vol 15 (3) ◽  
pp. 416
Author(s):  
Azhar Bafadal
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Money Supply ◽  
Inflation Rate ◽  
Series Data ◽  
Small Magnitude ◽  
Long Run ◽  
The Exchange Rate ◽  
The Interest Rate ◽  
The Impact

This research aimed to study the impact of monetary policy on the rupiah stability. Variables used were the interest rate of Bank Indonesia Certificate (SBI), the rate of inflation (IHK), the exchange rate of rupiah against the US dollar (Kurs) and the money supply in the narrow sense (M1). Data used were of quarterly time series data of Bank Indonesia and Central Bureau of Statistic, covering 2002.1-2010.4. The analysis was undertaken by using a vector autoregression model (VAR), through the Impulse Response Function (IRF) and Forecast error variance decomposition (FEVD). The research results showed that in the sort run shocks of SBI  decreased the inflation rate, and in the long run the inflation rate was constant. The exchange rate tended to be appreciated in the short run and long run although in a small magnitude. Money supply decreased with a minor fluctuation. Initially, the money supply shocks increased the interest rate of SBI, but decreased in the long run. The rate of inflation fluctuated in the sort run but it was constant in the long run. The exchange rate was depreciated both in the sort run and in the long run.

Assessing the impact of monetary fundamentals on exchange rate fluctuations a Bayesian network approach

2019 ◽  
Vol 15 (1) ◽  
pp. 166-181
Author(s):  
Sahar Charfi ◽  
Salah BenHamad ◽  
Afif Masmoudi
Keyword(s):  
Exchange Rate ◽  
Bayesian Network ◽  
Money Supply ◽  
Inflation Rate ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Exchange Rate Fluctuations ◽  
Bayesian Network Modeling ◽  
Rate Behavior

Purpose The purpose of this paper is to analyze how monetary fundamentals affect exchange rate movements. Design/methodology/approach To develop this paper, a Bayesian Network modeling is applied to explore the causal interactions between monetary fundamentals and exchange rate fluctuations. Subsequently, a sensitivity analysis is performed to asses and estimate exchange rate behavior with uncertain monetary fundamentals. Furthermore, a Granger Causality test is used as suggested in the Econometric literature to determine the causality direction among factors. Findings The empirical findings show that money supply and interest rate have a significant positive effect on exchange rate, whereas inflation rate has a considerable negative effect on exchange rate. In addition, the authors deduce that real income has an indirect impact on exchange rate and a direct impact on inflation rate, interest rate and money supply. Furthermore, the sensitivity analysis shows that monetary uncertainty has a considerable effect on exchange rate fluctuations. Moreover, the Granger Causality test reveals that there is a unique unidirectional causality running from money supply to exchange rate. Practical implications The model can be considered as a vital management tool for international investors and financial analysts to explore the effect of monetary fundamentals on exchange rate behavior. It allows estimating exchange rate fluctuations with uncertain monetary factors. Originality/value This study is the first one which applied a Bayesian Network modeling to examine the exchange rate determination problem. Results of this research are presented under a clear graphical representation that can be easily useful by monetary policymakers and international traders to determine the influential monetary factors on exchange rate behavior. Also, the model will help them in estimating the effect of monetary uncertainty on exchange rate fluctuations.

Sign in / Sign up

Export Citation Format

Share Document