scholarly journals PENGARUH VOLATILITAS NILAI TUKAR TERHADAP VOLUME EKSPOR BEBERAPA KELOMPOK KOMODITI PERDAGANGAN INDONESIA

2008 ◽  
Vol 8 (2) ◽  
pp. 147-173
Author(s):  
Arindra A. Zainal

The relationship between exchange rate volatility and export performance has been scrutinized by many economists since Bretton Wood System collapsed in 1971. Although most of the results show that there is a negative relationship between exchange rate volatility and export performance, we also find that some studies show a positive one. This study used some Indonesian group of commodities data to find the relationship between exchange rate volatility and export performance.While General Autoregressive Conditional Heteroscedasticity (GARCH) was used to calculate exchange rate volatility, this study used Pesharan & Shin ARDL cointegration test in order to find long run relationship between export performance and exchange rate volatility. Only 2 out of 7 equations tested show a long run relationship between exchange rate volatility an export performance and the signs are positive.

Author(s):  
Mohini Gupta ◽  
Sakshi Varshney

The centre interest of the study is to explore the impact of exchange rate volatility on the India-U.S. trade flow of Import on 6 industries spanned from September 2002 to June 2019. We investigate the relationship at disaggregate level by industry-wise data with monthly frequency. We employ exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model to gauge volatility and thereafter ARDL bound testing approach to unveil the short and long-run association of real exchange rate volatility and import. The empirical analysis implies the existence of both short-run and long-run effect in 5 importing industries except manufactured (engineering) goods. While real exchange volatility appears to have statistically significant effect in short-run, but also estimated short-run lasts onto long-run effect in only three industries. The results confirm the information of import in time-series analysis. The finding of the study helps to undertake the view of invariability and considering the industry before policy making.


The centre interest of the study is to explore the impact of exchange rate volatility on the India-U.S. trade flow of Import on 6 industries spanned from September 2002 to June 2019. We investigate the relationship at disaggregate level by industry-wise data with monthly frequency. We employ exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model to gauge volatility and thereafter ARDL bound testing approach to unveil the short and long-run association of real exchange rate volatility and import. The empirical analysis implies the existence of both short-run and long-run effect in 5 importing industries except manufactured (engineering) goods. While real exchange volatility appears to have statistically significant effect in short-run, but also estimated short-run lasts onto long-run effect in only three industries. The results confirm the information of import in time-series analysis. The finding of the study helps to undertake the view of invariability and considering the industry before policy making.


2018 ◽  
Vol 6 (4) ◽  
pp. 86 ◽  
Author(s):  
Rashid Latief ◽  
Lin Lefen

The “One Belt and One Road” (OBOR) project was started by the Chinese government with the aim of achieving sustainable economic development and increasing cooperation with other countries. This project has five major objectives, which include (i) increasing trade flow, (ii) encouraging policy coordination, (iii) improving connectivity, (iv) obtaining financial integration, and (v) fortifying closeness between people. This paper aims to analyze the effect of exchange rate volatility on international trade and foreign direct investment (FDI) in developing countries along “One Belt and One Road”. We selected seven developing countries which are part of this project, namely Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka. We collected panel data for the period 1995 to 2016 from the U.S. Heritage Foundation, International Financial Statistics (IFS) (a database developed by the International Monetary Fund), and World Development Indicators (WDI) (a database developed by the World Bank). We applied Generalized Autoregressive Conditional Heteroscedasticity (GARCH) (1,1) and threshold-Generalized Autoregressive Conditional Heteroscedasticity (TGARCH) (1,1) models to measure the exchange rate volatility. Furthermore, we employed a fixed effect model to analyze the relationship of exchange rate volatility with international trade and FDI. The results of this paper revealed that exchange rate volatility affects both international trade and FDI significantly but negatively in OBOR-related countries, which correlates with the economic theory arguing that exchange rate volatility may hurt international trade and FDI. It can be concluded that exchange rate volatility can adversely affect international trade and FDI inflows in OBOR-related countries.


2020 ◽  
Vol 7 (3) ◽  
pp. 145
Author(s):  
Nicas Yabu ◽  
Deogratius Kimolo

The study examines the extent of exchange rate volatility and its impact on key macroeconomic variables such as exports, FDI inflows, interest rate and inflation in Tanzania, Kenya and Uganda. The GARCH model is used to compute the extent of exchange rate volatility while the Panel Autoregressive Distributed Lag (ARDL) technique or pooled mean group (PMG) estimator was used to estimate the effects of exchange rate volatility on selected macroeconomic variables. The results indicate that volatility in the exchange rate is a real issue in all the sampled countries and is fundamentally driven by exports and FDI dynamics for the period under consideration. The results indicate a positive impact of the exchange rate volatility to export performance and lending rates in the long run. Exchange rate volatility appears to be detrimental to both export performance and leads to a reduction in lending rates in the short run. Also, the response of FDI to exchange rate volatility seems to be negative in the long run while in the short run the response from the volatility of real exchange rate seems is insignificant. Though not significant, the volatility of the exchange rate appears to have a positive impact on inflation. The study recommends that policymakers need institute mitigation measures which could smooth out excessive exchange rate volatility to minimize its likely impact on the economy. The study also indicated a need for the EAC countries to consider adopting inflation targeting monetary policy framework in order to contain inflation at the appropriate level.


2021 ◽  
Vol VI (II) ◽  
pp. 49-66
Author(s):  
Atiq Ur Rahman ◽  
Salyha Zulfiqar Ali Shah ◽  
Qamar uz Zaman

Unemployment is an alarming issue for bothdeveloped and developing countries, which sometimesvaries from region to region as well. Unemployment accompaniedwith Exchange Rate Volatility (ERV, hereafter) worsens thesituation. This paper tries to explore the relationship between ERVand unemployment and other selected factors in the case ofPakistan from 1980 to 2018. After necessary simulation, the studysupported the analyses through the autoregressive distributed lagmodel. Where, long-run coefficient reveals that ERV and exportsboth are positively affecting unemployment; whereas, import isinversely related to unemployment. Alternatively, export and GDPare inversely affecting unemployment in the short run; further,stability tests also support the relationship between the selectedvariables to achieve the long-run equilibrium. The study furthersuggests that the Government of Pakistan need to stabilizeexchange rate to control unemployment, which is 8 percent in thelong-run and 11 percent in the short run.


2019 ◽  
Vol 12 (1) ◽  
pp. 23-44
Author(s):  
Chandan Sharma

PurposeThis study aims to examine the relationship between exchange rate risk and export at commodity level for the Indian case.Design/methodology/approachThe monthly panel data used for analysis are at a disaggregated level, which cover around 100 products, encompassing all merchandize sectors for the period spanning from 2012:12 to 2017:11. To measure the exchange rate volatility, the authors use real as well as nominal exchange rate concepts and predict the volatility of exchange rate using the autoregressive conditional heteroscedastic-based model. They use pooled mean group, mean group and common correlated effects mean group estimator that is suitable for the objectives and data frequency.FindingsThe empirical analysis indicates both short- and long-term negative effects of exchange rate variations on exporting. Specifically, in the long run, real exchange rate as well as nominal exchange rate volatility has significant effects on export performance, yet, the effects of uncertainty of nominal exchange rate is much severe and intense. In the short run, it is the nominal exchange rate uncertainty that hurts exports from India. Nevertheless, the short-run effect is much lesser than the long-run, supporting the argument that the short-term exchange rate risk can be hedged, at least partially, through financial instruments; however, uncertainty of the long-term horizon cannot be hedged easily and cost-effectively.Practical implicationsReducing uncertainty and attaining stability in exchange rate and price level should be an important policy objective in developing countries such as India to achieve higher export growth, both in the short and long run.Originality/valueUnlike previous studies, this paper tests the relationship using micro-level data and uses advanced econometric techniques that are likely to provide more precise information regarding the association between exchange rate volatility and trade flows.


2013 ◽  
Vol 12 (3) ◽  
pp. 577-605 ◽  
Author(s):  
MARC AUBOIN ◽  
MICHELE RUTA

AbstractThis paper surveys a wide body of economic literature on the relationship between exchange rates and trade. Specifically, two main issues are investigated: the impact of exchange rate volatility and of currency misalignments on international trade flows. On average, exchange rate volatility has a negative (even if not large) impact on trade. The extent of this effect depends on a number of factors, including the existence of hedging instruments, the structure of production (e.g. the prevalence of small firms), and the degree of economic integration across countries. The second issue involves exchange rate misalignments, which are predicted to have short-run effects in models with price rigidities. However, the exact impact depends on a number of features, such as the pricing strategy of firms engaging in international trade and the importance of global production networks. Trade effects of currency misalignments are predicted to disappear in the long-run, unless an economy is characterized by other relevant distortions. Empirical results broadly confirm these theoretical predictions.


Author(s):  
Isaiah O. Ajibola ◽  
Sylvanus U. Udoette ◽  
Rabia A. Muhammad ◽  
John O. Anigwe

This study investigates the relationship between exchange rate volatility and currency substitution in Nigeria, using Autoregressive Distributed Lag (ARDL) model. After accounting for the presence of structural breaks, evidence from the findings shows that domestic interest rate and expected changes in exchange rate are important determinants of currency substitution. In addition, there is empirical support for a positive relationship between exchange rate volatility and currency substitution both in the short- and long-run. This implies that higher real exchange rate volatility is associated with an increased level of currency substitution. In view of these findings, the paper calls for sustained efforts by the monetary authority in containing exchange rate volatility and inflation as a way of curbing the spate of currency substitution in the country.


2017 ◽  
Vol 20 (1) ◽  
pp. 49-70
Author(s):  
Shinta Fitrianti

This paper investigates the long-run and short-run impacts of the exchange rate volatility onIndonesia’s real exports to its major trading partners; Japan and US. The study uses monthly data from January 1998 to October 2015 in order to capture the structural break period of the Global Financial Crisis 2008. In addition, commodity price is included as an explanatory variable. The index of exchange rate volatility is generated using moving sample standard deviation of the growth of the real exchange rate. This paper estimates the long-run cointegration using Autoregressive Distributed Lag (ARDL) bounds testing, while for the short-run dynamic this paper use error-correction-model (ECM). The findings suggest rupiah volatility against the Japanese yen reduces Indonesia’s export to Japan, both in the short and the long-run. Fluctuation of rupiah against the US dollar helps Indonesia’s export to the US in the short run, but the impact is not carried out to the long-run. On the other hand, the impact of commodity price shock is negligible, except for the long-run export to Japan.


Author(s):  
Mehmet Balcılar ◽  
Harun Bal ◽  
Neşe Algan ◽  
Mehmet Demiral

The main objective of this study is to investigate the short and the long run relationships between export performance proxied by export volume index and real effective exchange rate changes in Turkey using the aggregated quarterly data sets covering the period of 1995-2012. The other factors that are expected to affect export performance such as wage, foreign income, productivity, trend GDP and exchange rate volatility are also added to the model. The ARDL bounds testing approach to cointegration is performed in the estimation process. The causalities among the variables in the model are determined based on the estimated ARDL models. The empirical results reveal that the variables of interest are cointegrated. Real effective exchange rate coefficient is significantly positive in the short run whereas negative in the long run and exchange rate volatility has no significant effect on export performance in contrast with theoretical expectations. Other evidences indicate that the recent export boom in Turkey can be explained by wages, productivity and world demand, rather than exchange rate changes. Consequently, findings suggest that policies that depressing wages and stimulating high productivity can help export sectors increase their export volume and competitiveness in Turkey.


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