scholarly journals The Impact of Exchange Rate on Market Fundamentals: A Case Study of J-curve Effect in Vietnam

2017 ◽  
Vol 9 (1) ◽  
pp. 45 ◽  
Author(s):  
Nguyen Quang My ◽  
Mustafa Sayim ◽  
Hamid Rahman

This study examines if there is an equilibrium relationship between gross domestic product (GDP), exchange rate fluctuation and trade balance in long-term and short-term in Vietnam. The results show that the short-term and long-term exchange rate fluctuations impact the trade balance in Vietnam; both ARDL (Autoregressive Distributed Lag) and ECM (Error Correction Model) methodologies implied that exchange rate has a statistically negatively impact on the trade balance. Particularly, Autoregressive distributed lag (ARDL) utilized to test the long -term impact, shows the trade balance deficit becomes worse when the REER (real effective exchange rate) increases. ECM (Error Correction Model) equation based on the long-term cointegration equation and impulse response, reveals that the domestic currency devaluation could not improve the trade balance, indicating that the J-curve effect does not hold on the dong, the currency of Vietnam.

2020 ◽  
Vol 66 (No. 12) ◽  
pp. 527-541
Author(s):  
Zaid Ashiq Khan ◽  
Mansoor Ahmed Koondhar ◽  
Noshaba Aziz ◽  
Uzair Ali ◽  
Liu Tianjun

Pakistan is an agriculture-based country, so the agricultural sector is known as the backbone of the national economy. Considering the national economy and the agricultural industry, it is necessary to focus on earnings through agricultural products export to improve the livelihood of local farmers. Therefore, the current study aimed to analyse the short-term and long-term factors affecting agricultural products export. The annual time series of 1976–2016 were collected from World Bank indicators, the Food and Agriculture Organization, and the Statistical Bureau of Pakistan. An autoregressive distributed lag, along with a vector error correction model, was employed. A cointegration test showed long-term associations between the selected variables. While the autoregressive distributed lag model confirmed the short-term correlation between area sown and crop production towards agricultural products export, there is no long-term relationship between the selected variables. In addition, the bidirectional correlation between employment in agriculture and agricultural products export was confirmed by the vector error correction model. Therefore, it is essential to increase agricultural production with the available natural resources to increase foreign earnings.


Author(s):  
Muhammad Yusuf Ibrahim ◽  
Indra Indra

The research is aim to attest and assess empirically the contribution of Islamic banking (IBs) on the inclusive growth in Indonesia. By taking a trial-stage method i.e. descriptive analysis to elaborate a statistical data, autoregressive distributed lag (ARDL) model to assess empirically the contribution in a long-term, and error correction model (ECM) to assess the contribution in a short-term empirically. The findings are, total deposits and total financing only contribute positively significant into GDP and gini ratio in a long-term, that similiar with the previous study. Then, a total financing contribute negatively to all indicators of inclusive growth in a long-term, but, its only significance on GDP and gini ratio. Means, it was contribute significantly to all indicators in a short-term.


2010 ◽  
Vol 57 (1) ◽  
pp. 23-41 ◽  
Author(s):  
Pavle Petrovic ◽  
Mirjana Gligoric

This paper shows that exchange rate depreciation in Serbia improves trade balance in the long run, while giving rise to a J-curve effect in the short run. These results add to the already existent empirical evidence for a diverse set of other economies. Both Johansen's and autoregressive distributed lag approach are respectively used giving similar long-run estimates showing that real depreciation improves trade balance. Corresponding errorcorrection models as well as impulse response functions indicate that, following currency depreciation, trade balance first deteriorates before it later improves, i.e. exhibiting the J-curve pattern. These results are relevant for policy making both in Serbia and in a number of other emerging Europe countries as they face major current account adjustments after BoP crises of 2009.


2013 ◽  
Vol 01 (01) ◽  
pp. 44-51
Author(s):  
Muhammad Bilal Saeed ◽  
Ijaz Hussain

This study evaluates the relationship between real exchange rate and trade balance prevailed in Pakistan during the 1985-2010 period. Engel Granger residual based and Johansen Juselius tests have been used to inquire into the long term connection between exchange rate and trade balance. Error correction model is then employed to study the short term connection. It has been discovered that there exists a connection between real exchange rate and trade balance in long as well as short run. The evidences set forth lead to a decisive conclusion that Marshall Lerner Condition and J curve effect both hold in case of Pakistan.


Author(s):  
Jean-Francois Hoarau ◽  
Alain Nurbel ◽  
Nelson Latchimy

This paper aims at analysing the relation between real trade balance and foreign demand in the case of a small opened economy, which highly depends upon the rest of the world for productive capital. Theoretical analysis allows us to bring forth a kind of “J-curve” effect. Indeed, when foreign demand for domestic goods increases, the country is to import in a first time in order to improve its productive capacities, resulting in worsening trade balance. However, in a second time, once the cumulated capital inventory became sufficient, the trade balance improves under the pressure of domestic exports high growth. The empirical analysis based on Australia from 1982 (1) to 2001 (1) supports this theory. We show there are negative short term and positive long term elasticities.


2019 ◽  
Vol 6 (10) ◽  
pp. 361-374
Author(s):  
Muammar Rinaldi ◽  
Shinta Arida Hutagalung ◽  
Muhammad Fitri Rahmadana

This study aims to analyze the effect of the short and long term gross domestic product, exchange rate, and inflation on Indonesia's balance of payments. The data used in this study are secondary data which is obtained indirectly with the period of 1995 to 2015. Data sources were obtained from Bank Indonesia and the Central Bureau of Statistics. The data collection method used in this study with the indirect method is documentation through recording or copying data from Bank Indonesia and the Central Bureau of Statistics. The analysis model used is Error Correction Mechanism (ECM). The results of this study indicate that the regression model of the Autoregressive Distributed Lag Model (ARDL) for the long term and Error Correction Model (ECM) regarding the effect of independent variables such as Interest Rates, Gross Domestic Product and Inflation Against the Dependent dependent variable in Indonesia, then it can some conclusions are presented, namely from several independent variables that are tried and included in the savings equation in Indonesia using the Autoregressive Distributed Lag Model (ARDL) for the long term and Error Correction Model (ECM) for the short term, namely the gross domestic product variable, the inflation rate, and exchange rate. In the long run there are 2 (two) significant variables, namely gross domestic product and the exchange rate. While inflation is not significant. For the short term, there is 1 (one) significant variable, namely the exchange rate. Thus, only exchange rate variables are significant in both the short and long term. With only 1 (one) significant independent variable both in the long term and short term, it can be concluded that the exchange rate in the long term and short term is the main determining factor that affects the Balance of Payments in Indonesia. In the long run, Independent variables such as Gross Domestic Product and the exchange rate on the dependent variable Balance of Payments in Indonesia have a significant effect on the dependent variable Balance of Payments. Whereas in the short run, the exchange rate variable has a significant effect, and for other independent variables such as the GDP variable and the inflation rate does not have a significant effect.


Author(s):  
Subroto Dey ◽  
Homamul Islam

Most of the previously examined studies that investigated the repercussion of the trade balance to exchange rate mutation relied on the assumption that appreciation and depreciation behave symmetrically, recently several works have been conducted using the asymmetric analysis. In this work, we exhibited a model employing the disaggregated data (bilateral) of trade balance with the USA. In our pursuit, we endeavored to disclose a phenomenon of the J curve, is this pattern present in our trade balance and exchange rate bearing? In this article, first, we checked the stationary of data set and discovered the stationary employing the Augmented Dickey-Fuller test, Phillips Peron then applying the ARDL bounds test of cointegration apropos to find out the long run co integrated equations and last of all, tried to investigate the short-run and long-run relationship among the variables, while we used the ECM (error correction model). The Toda-Yamamoto Procedure for Granger Causality in a VAR framework has been applied to detect the causal direction. In our model, we have blazoned the negative short-run rapport between the exchange rate and trade balance in the bilateral data, whereas we have remarked a discrepant bearing in the long run and we did receive the evidence of the appearance of j pattern in the relationship between exchange rate and trade balance. Dispensing the error correction model, we found domestic higher price level hinders the trade balance in the short run, did not find any evidence of foreign income stimulate the export. Toda-Yamamoto Procedure for Granger Causality reveals the unidirectional causal effect from exchange rate to trade balance of Bangladesh with the USA.


2020 ◽  
Vol 3 (2) ◽  
pp. 47
Author(s):  
Nulhanuddin Nulhanuddin ◽  
Devi Andriyani

This study aims to determine the effect of short-term and long-term exchange rates and crumb rubber exports on the economic growth of Indonesia. The data used are secondary data for 39 years from 1980 to 2018 accessed on www.world.bank.wdi.data.bank.org, www.pertanian.go.id, www.bps.go.id, and www.bps.go.id. The data analysis method used is the Autoregressive Distributed Lag (ARDL) approach with the help of EViews 10 software. The results show that the economic growth is stationary at the level and exchange rate and exports of stationary crumb rubber at the first difference level and have cointegration in the long-term relationship. The test results in the short-term analysis of the exchange rate have a positive and significant effect, and exports have a positive but insignificant effect on economic growth, while in the long run, the exchange rate has a negative effect but insignificant, and exports have a positive but insignificant effect on the economic growth of Indonesia. Keywords:economic growth, exchange rates, exports and the ARDL approach.  


Author(s):  
Syarifah Labibah ◽  
Abd. Jamal ◽  
Taufiq C. Dawood

There are some factors predicted tohave an effect on the countries’ economic devlopment. This study aimed to analyze the long-term and short-term effects of In-flation, Exchange Rate, and Foreign Economic Growth (the destination of the United States, China, and Japan) on the Indonesian Export. The Auto-Regressive Distributed Lag (ARDL) Model is used in this analysis from 1968 through 2017. The results of the analysis show that in the long-term, the inflation and the economic growth in China as well in Japan has a positive sign and significant effect on Indonesian exports. In addition, in the short-term, the US exchange rate and economic growth have a positive significant effect on Indonesian exports.


2019 ◽  
Vol 2 (1) ◽  
pp. 60
Author(s):  
Didik Rosadi Ali

This study aims to analyze the effects of the weakening of the Rupiah exchange rate on Indonesia's export performance. The data used is quarterly period data from 2010 until 2017. The statistical method to analyze the data is Error Correction Model (ECM) method by firstly testing stationeritas to all variables used is the value of Gross Domestic Product (GDP), value exports and exchange rate of Rupiah to US Dollar and test the classical assumption of regression on each model formed. From the estimation result, it is found that in the period of 2010/Q1-2017/Q4 both in long-term and short-term model, the exchange rate effect on export of Indonesia performance is not significant


Sign in / Sign up

Export Citation Format

Share Document