ANALISIS KOINTEGRASI DAN KAUSALITAS ANTARA INFRASTRUKTUR JALAN, PERDAGANGAN BARANG DAN PERTUMBUHAN EKONOMI DI NEGARA ANGGOTA ASEAN

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Antonius KAP Simbolon
Keyword(s):  
Member Country ◽  
Time Series Data ◽  
Cointegration Test ◽  
Series Data ◽  
Gdp Growth ◽  
Total Trade ◽  
Causality Test ◽  
Road Infrastructure ◽  
Long Run ◽  
Time Period

This research aims to analyze Cointegration and Causality among ASEAN Road Infrastructure, ASEAN Total Trade in Goods and Rate of GDP Growth, using time series data, that is yearly data during the time period 2007 to 2015. The method used to test cointegration is Johansen’s Multivariate Cointegration Test dan the method used to test the causality is Granger’s Causality. The result of cointegration test revealed that there are a long run relationship between ASEAN Road Infrastructure, ASEAN Total Trade in Goods and Rate of GDP Growth in each member country of ASEAN. While the results of the Granger Causality test found there is a two-way relationship (mutual causality) between ASEAN Total Trade in Goods and Rate of GDP Growth in each member country of ASEAN. But, there is one-way relationship between ASEAN Road Infrastructure and ASEAN Total Trade in Goods and Rate of GDP Growth in each member country of ASEAN, which ASEAN Road Infrastructure gives effect to ASEAN Total Trade in Goods and Rate of GDP Growth

scholarly journals Analisis Faktor-faktor Yang Mempengaruhui Cadangan Devisa Indonesia Bukti (Kointegrasi dan Kausalitas)

2020 ◽  
Vol 3 (2) ◽  
pp. 32
Author(s):  
Hijri Juliansyah ◽  
Putri Moulida ◽  
Apridar Apridar
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Time Series Data ◽  
Cointegration Test ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Causality Test ◽  
Long Run ◽  
The Exchange Rate ◽  
Bound Test

This study aims to analyze the factors that influence Indonesia's foreign exchange reserves by proving cointegration (long-run relationships) and causality (reciprocal relationships). The data used is time series data during the period January 2014-December 2018. The analytical method used in this study is cointegration test and granger causality with the approach of auto regressive lag (ARDL). The cointegration test results using the Bound test test indicated that between the variables of foreign exchange reserves, exports, the exchange rate, the BI Rate and inflation had a stability relationship of movements in the long run. While the results of the causality test showed that there is a one-way relationship between foreign exchange reserves and exports, and so there was a unidirectional relationship between foreign exchange reserves and the exchange rate and the same relationship between the BI Rate and foreign exchange reserves. Keywords: foreign exchange reserves, exports, exchange rates, BI Rate, inflation.

EMPIRICAL ANALYSIS OF INDIA’S FOREIGN TRADE AND ECONOMIC GROWTH

2020 ◽  
Vol 8 (10) ◽  
pp. 105-111
Author(s):  
Khujan Singh ◽  
Anil Kumar
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Significant Implication ◽  
Causality Test ◽  
First Order ◽  
Long Run ◽  
Directional Relation ◽  
Augmented Dickey Fuller ◽  
Vecm Granger Causality

The present study is an attempt to examine long run relationship among India’s GDP, Exports and Imports for which yearly time series data from 1995 to 2018 has been collected. Data for India’s GDP has been collected from RBI website and India’s export and import data has been collected form Ministry of Commerce and Industry website. The Augmented Dickey-Fuller unit root test for stationarity found that studied variables become stationary at first order of difference. While, Johnson cointegration test revealed long run cointegration between India’s GDP, exports and imports. The results of VECM Granger causality test exhibited bi-directional relationship between India’s GDP and India’s exports, whereas uni-directional relation has been found between India’s GDP and India’s imports. These results have significant implication for India’s export import policy and to achieve a target of $5 trillion economy till 2024-2025.

scholarly journals Globalization Nexus Terrorism: Evidence from Pakistan

2021 ◽  
Vol 7 (1) ◽  
pp. 177-184
Author(s):  
Sabeeha Naseer ◽  
Muhammad Kamran Khan ◽  
Sami Ullah
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Series Data ◽  
Var Model ◽  
Causality Test ◽  
Time Period ◽  
Controlling Variables ◽  
Adf Test ◽  
Auto Regression

The current study investigates nexuses between globalization and terrorism in context of Pakistan. Time series data utilized for time period 1981 to 2017. The data has been taken from the World Governance Indicator (WGI) and Swiss global index (KOF). Augmented Dicky fuller (ADF) test was applied to check out stationary of all variables such as terrorism, globalization, remittances, foreign direct investment and trade. The results of ADF test indicated that all variables were stationary at first difference. For empirical analysis Johnson co-integration and VAR model under causality were applied. The co-integration result shows all variables terrorism, globalization, FDI, remittances and trade are not co-integrated. Vector Auto Regression (VAR) Model under causality test shows that Globalization is causing factor of terrorism. While, other controlling variables such as remittances cause globalization, foreign direct investment and trade.

scholarly journals The Nexus between Export and Economic Growth in Tanzania

2019 ◽  
Vol 1 (2) ◽  
pp. p95
Author(s):  
Romanus L. Dimoso (PhD, Economics) ◽  
UTONGA, Dickson (MSc. Economics)
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Test Results ◽  
Causality Test ◽  
Goods And Services ◽  
Long Run ◽  
Causality Tests ◽  
The Government ◽  
Econometrics Analysis

This study explored the causal relationship between exports and economic growth in Tanzania. It analyzed time series data for the period of 1980 to 2015. Economic growth is measured in terms of growth per cent while exports are measured in percentage change of goods and services sold abroad. Econometrics analysis was employed in the due course. Such procedures as testing for the presence of unit root, co-integration and causality were done. Furthermore, the Johansen co-integration and Granger causality tests were employed to examine the long-run relationship among variables. The results of co-integration indicate the existence of one co-integrating equation. The causality test results exhibited causality which runs from economic growth to exports. The results conclude that, in the long run, there is a relationship between exports and economic growth in Tanzania. This study recommends the Government to make efforts to improve exports and eventually, in the long-run, rejuvenating the economy.

scholarly journals COINTEGRATING RELATION BETWEEN EXCHANGE RATE AND GOLD PRICE

2017 ◽  
Vol 5 (10) ◽  
pp. 263-269
Author(s):  
Ranjusha ◽  
Devasia ◽  
Nandakumar
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Unit Root Test ◽  
Gold Price ◽  
Series Data ◽  
Annual Data ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Relationship

The very purpose of this paper is to analyse the relationship between gold price and Rupee – Dollar exchange rate in India. The study utilises the annual data of exchange Rate (ER) and Gold Price (GP) from 1970 to 2015 to determine the relationship. Different econometric tools like Unit root test, Johansen co integration test, Vector error correction model, Granger causality test are used for detecting the long run relation, if any between the mentioned variables. The result shows that there exists a long run cointegrating relation between the variables. That is we can stabilise the Gold Price movement by controlling the exchange rate fluctuations. Likewise it also shows that Exchange rate doesn’t Granger cause to Gold price and vice versa. It means that the time series data of one vasriable cannot be used to predict another.

scholarly journals INDIKATOR MAKROEKONOMI DAN RETURN SAHAM SYARIAH DI INDONESIA

2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Utami Baroroh
Keyword(s):  
Exchange Rate ◽  
Discount Rate ◽  
Stock Return ◽  
Time Series Data ◽  
Empirical Test ◽  
Cointegration Test ◽  
Series Data ◽  
Causality Test ◽  
Us Dollar

The objectives of this study are to examine empirical test the long term equilibrium and simulteneous relationship between macroeconomics variables to stock return in Indonesia and to observe stock return response because shock/innovation of inflation, SBI discount rate and exchange rate Rupiah to US dollar. The data sample used in this study are monthly time series data from 2003.1 – 2010.6. Those data are SBI discount rate, inflation (CPI), exchange rate Rupiah to US dollar, money supply and stock return (IHSG). A method of analysis in this study are Granger Causality Test and Cointegration test. The empirical results shows that SBI discount rate, inflation (CPI), and exchange rate Rupiah to US dollar have causality relationship to stock return.. The cointegration test indicates that among research variables there is long term equilibrium and simultaneous relationshipDOI: 10.15408/sjie.v2i2.2421

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

scholarly journals Stock Market and Economic Development: a Causality Test

2007 ◽  
Vol 3 (1) ◽  
pp. 36-44 ◽  
Author(s):  
Surya Bahadur G.C. ◽  
Suman Neupane
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Stock Market ◽  
Time Series Data ◽  
Series Data ◽  
Causality Test ◽  
Stock Market Development ◽  
Business Studies ◽  
Long Run ◽  
Made In

ABSTRACT An attempt has been made in this paper to examine the existence of causality relationship between stock market and economic growth based on the time series data for the year 1988 to 2005 using Granger causality test. The study finds the empirical evidence of long-run integration and causality of macroeconomic variables and stock market indicators even in a small capital market of Nepal. The causality has been observed only in real terms but not in nominal variables. In econometric sense, it depicts that the stock market plays significant role in determining economic growth and vice versa. Interestingly, the causation is evident with a lag of 3 to 4 years. Also, the paper reveals the importance of stock market development for fostering economic development. Journal of Nepalese Business Studies 2006/III/1 pp. 36-44

scholarly journals Impact of Economic Reforms, FDI and Imports on GDP: Trends and Regression Analysis

2018 ◽  
Vol 7 (3) ◽  
pp. 20-25
Author(s):  
Preeti Sharma ◽  
Priyanka Sahni
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Time Series Data ◽  
Economic Reforms ◽  
Chinese Economy ◽  
Series Data ◽  
Causality Analysis ◽  
Causality Test ◽  
Long Run ◽  
Integration Test

The aim of this study is to explore the causal relationship between the exports, imports and economic growth of Chinese economy using time series data running from 1978 to 2016.Co integration, Granger Causality analysis and Vector Error Correction Mechanism (VECM) has been used in order to test the hypotheses about the presence of causality and co integration among the variables. The co integration test confirmed that exports, imports and GDP are co integrated, indicating an existence of long run equilibrium relationship among the variables and also confirmed by the Johansen co integration test results. The Granger causality test finally confirmed the presence of bi-directional causality between exports, imports and GDP. The study further shows that relative share of china’s exports in world exports has increased significantly after the introduction of economic reforms. Further, the rising exports have also made a significant contribution to the economic growth of Chinese economy due to forward and backward linkages.

scholarly journals Is Fiscal Policy Effective in Generating Higher Real Output? A Case of Pakistan

2013 ◽  
Vol 1 (2) ◽  
pp. 47-58
Author(s):  
Hafiz Saqib Mehmood Najmi ◽  
Farrukh Bashir ◽  
Saman Maqsood
Keyword(s):  
Fiscal Policy ◽  
Time Series Data ◽  
Government Expenditure ◽  
Cointegration Test ◽  
Series Data ◽  
Government Revenue ◽  
Real Gdp ◽  
Long Run ◽  
Johansen Cointegration Test ◽  
Motivating Factor

Keeping in view the objective that is to observe the usefulness of fiscal policy on real GDP of Pakistan, the study collects time series data from 1976 to 2012 through reliable sources of statistical bureaus of Pakistan. Using Johansen Cointegration test, the long run results demonstrate investment and government expenditure as raising factor for real GDP of Pakistan while GDP Deflator and government revenue as de-motivating factor for real GDP of Pakistan in the long run.

Sign in / Sign up

Export Citation Format

Share Document