The impact of exchange rate volatility on commodity trade between the US and Thailand

2012 ◽  
Vol 26 (4) ◽  
pp. 515-532 ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Kaveepot Satawatananon
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.


2016 ◽  
Vol 50 (2) ◽  
pp. 161-187 ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Javed Iqbal ◽  
Saqib Ullah Khan

Empirica ◽  
2014 ◽  
Vol 42 (1) ◽  
pp. 109-129 ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Scott W. Hegerty ◽  
Amr Hosny

Author(s):  
Turgut Orman ◽  
İlkay Dellal

This study aims to reveal the impact of exchange rate volatility on agricultural exports of Turkey by using the Autoregressive Distributed Lag Model. While quarterly time series data covering period of 2001: Q1 to 2018: Q4 were used to carry out analyses, Exponential Generalized Autoregressive Conditional Heteroscedasticity (1.1) is used to acquire exchange rate volatility series. The research findings showed that agricultural export is cointegrated with exchange rate volatility, producer price index and real effective exchange rate. Furthermore, our findings indicate that increases in real effective exchange rate have a statistically significant positive influence on the export volume whereas exchange rate volatility has negative impact on it.


2019 ◽  
Vol 10 (1) ◽  
pp. 38-45
Author(s):  
Wayrohi Meilvidiri ◽  
Syahruddin Syahruddin ◽  
Romualdus Turu Putra Maro Djanggo

This study uses the q to q dataset for the period 2011-2018, to examine the effect of trade openness on the exchange rate, on the other hand variable money supply, inflation and GDP growth and high-low exchange rates (dummy) will smooth the impact of shocks to the exchange rate . Using the OLS econometric estimator to see the effect of variables and the ARCH method to measure the uncertainty of exchange rate movements. Estimation results show that trade openness (open trade index); the money supply (money supply) and the high-low peak value of the exchange rate have a significant positive effect while the growth variable has a significant negative effect on exchange rate volatility. The LM test simultaneously found ARCH in residual data in lag 1 and lag 2. The normality test found abnormal residuals, while the residual heteroscedasticity test showed no ARCH problems in the last residuals.


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