Impact of Exchange Rate Volatility on the US Exports: A New Evidence From Multiple Threshold Nonlinear ARDL Model

2019 ◽  
Vol 10 (02) ◽  
pp. 1950009 ◽  
Author(s):  
Bisharat Hussain Chang ◽  
Suresh Kumar Oad Rajput ◽  
Niaz Ahmed Bhutto

This study extends previous literature by examining the effect of extremely large to extremely small changes in the exchange rate volatility on the US exports to developing countries such as Brazil, India, Mexico, and South Africa. We use novel approach called multiple threshold nonlinear ARDL (MTNARDL) and compare its results with ARDL and nonlinear ARDL models. The ARDL model supports insignificant results, whereas standard nonlinear ARDL model indicates asymmetric effect of exchange rate volatility on the US exports to Mexico only. Finally, the MTNARLD model indicates that in the short run, the effect of extremely large changes in exchange rate volatility does not significantly differ from the effect of small changes in exchange rate volatility on the US exports to all sample countries. Whereas in the long run, the effect of extremely large changes in exchange rate volatility is significantly different from the effect of small changes in exchange rate volatility on the US exports to all sample countries. The findings of this novel methodology suggest different policies in the long run and short run.

2020 ◽  
Vol 65 (04) ◽  
pp. 857-888
Author(s):  
MEI-SE CHIEN ◽  
NUR SETYOWATI ◽  
CHIH-YANG CHENG

This paper investigates the effect of exchange rate volatility on bilateral trade between Taiwan and Indonesia via 19 export and import industries. Considering the existence of an asymmetric effect of exchange rate volatility on trade, we employ an asymmetric ARDL model and arrive at the following main results. First, the long-run asymmetric effect of exchange rate volatility shows far higher impacts on Taiwan’s exports to Indonesia than on Taiwan’s imports from Indonesia. Second, the short-run asymmetric effect of exchange rate volatility causes unstable changes on the trade amounts for most of Taiwan’s export and import industries with Indonesia.


2019 ◽  
Vol 59 (7) ◽  
pp. 1282-1297 ◽  
Author(s):  
Chandan Sharma ◽  
Debdatta Pal

This study explores the asymmetric effect of exchange rate volatility on tourism demand in India from January 2006 to April 2018. Tourism demand is captured from a twin perspective—quantity and value. While quantity is represented by foreign tourist arrival in India, earnings from foreign tourists are used to represent value. The study is unique from a methodological point of view as it makes the first ever application of the nonlinear autoregressive distributed lag model of Shin, Yu, and Greenwood-Nimmo (2014), in the tourism demand literature to capture nonlinearity simultaneously in the short- as well as long-run. Results of our analysis show that tourism demand in India responds asymmetrically to both nominal and real exchange rate volatility. Also, the long-run effects of exchange rate uncertainty are shown to be more damaging than the short-run effects. Our findings are fairly robust to alternative specifications.


2020 ◽  
Vol 66 (2) ◽  
pp. 93-129
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Huseyin Karamelikli

We consider the short-run and the long-run effects of the real Turkish Lira-Euro rate on the trade balance of each of the 64 industries that trade between Turkey and Germany. We find relatively more significant effects by estimating a nonlinear ARDL model for each industry. Indeed, the approach of separating currency depreciation from appreciation identified the five largest Turkish industries that engage in more than 50 % of the trade between these two countries and that benefitted from Turkish Lira depreciation against the Euro.


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.


2020 ◽  
Vol 37 (2) ◽  
pp. 293-309 ◽  
Author(s):  
Bisharat Hussain Chang ◽  
Suresh Kumar Oad Rajput ◽  
Niaz Ahmed Bhutto ◽  
Zahida Abro

Purpose Recent literature has shifted to examining whether exchange rate volatility symmetrically or asymmetrically affects the trade flows. This study aims to extend the existing literature by examining the effects of extremely large to extremely small changes in exchange rate volatility series on the US imports from Brazil, India, Mexico and South Africa. Design/methodology/approach For examining the effects of extreme changes, multiple threshold nonlinear autoregressive distributed lag (MTNARDL) model is used and the exchange rate volatility series is divided into quintiles and deciles. It helps to examine the effects of each quintile/decile of exchange rate volatility series on the US imports. Findings Findings indicate that the effects of extremely large changes in the exchange rate volatility series significantly differ from the effects of extremely small changes in the exchange rate volatility series on the US imports. Practical implications The findings of this study are very important. These findings help to consider the effect of extreme changes before devising policies related to trade flows. Originality/value This study mainly focuses on US imports from Brazil, India, Mexico and South Africa. In addition, this study extends the existing literature by using a novel methodology called MTNARDL model.


2015 ◽  
Vol 62 (4) ◽  
pp. 429-451 ◽  
Author(s):  
Erdal Demirhan ◽  
Banu Demirhan

This paper aims to investigate the effect of exchange-rate stability on real export volume in Turkey, using monthly data for the period February 2001 to January 2010. The Johansen multivariate cointegration method and the parsimonious error-correction model are applied to determine long-run and short-run relationships between real export volume and its determinants. In this study, the conditional variance of the GARCH (1, 1) model is taken as a proxy for exchange-rate stability, and generalized impulse-response functions and variance-decomposition analyses are applied to analyze the dynamic effects of variables on real export volume. The empirical findings suggest that exchangerate stability has a significant positive effect on real export volume, both in the short and the long run.


2021 ◽  
Vol 9 ◽  
Author(s):  
Abdul Saqib ◽  
Tze-Haw Chan ◽  
Alexey Mikhaylov ◽  
Hooi Hooi Lean

Growing energy demand but stagnant production followed by volatile exchange rate leads Pakistan to energy imbalances and potential economic contraction. Yet, studies on sectoral energy imports are limited and inconclusive without accessing the asymmetric effect of currency fluctuations. We examine the impacts of Pakistani rupee volatility on monthly energy imports based on the nonlinear autoregressive distributed lag (NARDL) estimations. Augmented Dickey–Fuller and Phillips–Perron tests were used to conduct unit root testing, and the bound testing approach was used to examine the long-term cointegration. The long-run asymmetry was tested with the Wald test, and using the NARDL model, we examined both short-run and long-run asymmetric effects of exchange rate volatility on energy imports. The bound test was established and supported through ECMt−1 (t-test), cointegrating the relationship between exchange rate volatility and energy imports in a long term. Among others, both short-run and long-run asymmetric effects were found for crude oil, coal, electricity, and petroleum products. Rupee depreciation increased crude oil and electricity imports, while the appreciation effects were insignificant. Overall, the empirical assessment reveals that the foreign exchange volatility effect is sectoral specific and asymmetric in Pakistan. It offers new insights into re-strategizing the energy policy and refining the import substitution plan.


2020 ◽  
Vol 5 (2) ◽  
pp. 143-157
Author(s):  
İsmet Göçer ◽  
Serdar Ongan

Abstract This study investigates the asymmetric impacts of changes in inflation rates on the US bond rates. This investigation is constructed on the Fisher Equation. To this end, the nonlinear ARDL model is applied. Empirical findings indicate that only the decreases (π− t ) in inflation rates affect bond rates. This asymmetric impact therefore shapes the FED’s monetary policy in terms of determining the bond rates at lower cost. When the inflation rate rises, the FED will know (in advance) that they do not need to increase the bond rates. This reminds us the FED’s former pre-emptive strike policy against inflation.


2020 ◽  
Vol 7 (5) ◽  
pp. 24
Author(s):  
Allan Kayongo ◽  
Asumani Guloba ◽  
Joseph Muvawala

Many money demand studies have been carried out on Uganda, however, these studies perceive and incorporate exchange rate as a linear determinant of real money demand. Indeed, exchange rate may have asymmetric effects on real money demand; with exchange rate appreciation having different effects from exchange rate depreciation. Therefore, this is the first study to estimate exchange rate asymmetries in Uganda, for the period 2008Q3 and 2018Q4. The study uses both the linear ARDL and non-linear ARDL methodologies to accomplish its goal. This is also done by incorporating an economic uncertainty index, which is critical, especially in light of the novel global coronavirus pandemic, that has disrupted trade, movement and supply chains. The error correction terms of both models are negative and significant, with the one of the non-linear ARDL twice as much as that of the linear ARDL. Indeed, the study confirms the existence of exchange rate asymmetries on Uganda’s real money demand. In the linear ARDL model, exchange rate has a positive effect in the long run but a negative result in the short run. On one hand, the non-linear ARDL model reveals that an exchange rate depreciation of the Uganda Shillings negatively affects real money demand in the short run. On the other hand, an exchange rate appreciation positively effects real money demand. Notably, economic uncertainty has insignificant effects in both models, except for its lags in the non-linear model. The implication of these findings is that macro-economic policy management in Uganda should be cognizant of these asymmetric effects of exchange rate, for effective planning, policy and implementation.


2021 ◽  
Author(s):  
Rafia Afroz ◽  
Md Muhibbullah

Abstract The purpose of this paper is to investigate the links between renewable energy (RE), non-renewable energy (NRE), capital, labour and economic growth, using the Non-linear Auto Regressive Distributive Lag (NARDL) model in Malaysia for the period of 1980–2018. The results of NARDL confirm the asymmetric effect of RE and NRE consumption on the economic growth in the long run as well as short run in Malaysia. The findings also show that in the long and short-run, positive shocks of NRE are greater than the positive shocks of RE. It indicates that Malaysia's economic growth is highly dependent on NRE which is not a good indication as NRE consumption increases carbon dioxide (CO2) emission in the country. Moreover, the empirical results of this study demonstrated that RE consumption reduction accelerates economic growth whereas NRE consumption reduction decreases economic growth. It can have claimed that in Malaysia RE is still more expensive than NRE. In conclusion, this study offered a variety of measures to develop RE to reduce the dependency on NRE consumption.


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