Exchange rate volatility and Turkish–German commodity trade: an asymmetry analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Huseyin Karamelikli
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Trade Flows ◽  
Commodity Trade ◽  
Content Type ◽  
Asymmetric Effects ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Turkish German

Purpose The purpose of this paper is to show that in some industries the linear model may not reveal any significance link between exchange rate volatility and trade flows but once nonlinear adjustment of exchange rate volatility is introduced, the nonlinear model reveals significant link. Design/methodology/approach This paper uses the linear ARDL approach of Pesaran et al. (2001) and the nonlinear ARDL approach of Shin et al. (2014) to assess asymmetric effects of exchange rate volatility on trade flows between Germany and Turkey. Findings This paper consider the experiences of 75 2-digit industries that trade between Turkey and Germany. When the study assumed the effects of volatility to be symmetric, the study found short-run effects in 31 (30) Turkish (German) exporting industries that lasted into the long run in only 10 (13) Turkish (German) exporting industries. However, when the study assumed asymmetric effects and relied upon a nonlinear model, the study found short-run asymmetric effects of volatility on exports of 55 (56) Turkish (German) industries. Short-run asymmetric effects lasted into long-run asymmetric effects in 10 (25) Turkish (German) exporting industries. All in all, we found that almost 25% of trade is hurt by exchange rate volatility. Originality/value This is the first paper that assesses the possibility of asymmetric effects of exchange rate volatility on German–Turkish commodity trade.

Asymmetric Impact of Exchange Rate Volatility on Commodity Trade Between Pakistan and China

2020 ◽  
pp. 097215092091628
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Ahmed Usman ◽  
Sana Ullah
Keyword(s):  
Exchange Rate ◽  
Linear Models ◽  
Exchange Rate Volatility ◽  
Trade Flows ◽  
Annual Data ◽  
Asymmetric Effects ◽  
Long Run ◽  
Short Run ◽  
Asymmetric Impact ◽  
Almost All

China is the largest trading partner of Pakistan. Therefore, it is very important to consider the trade flows between Pakistan and China and their response to rupee–yuan volatility. Previous research assumed that response of trade flows to measure of volatility is symmetric. In this study, our basic objective is to check whether the trade flows respond to volatility in a symmetric or asymmetric manner. Annual data over the period 1980–2018 for 14 Pakistani industries exporting to and 34 industries importing from China are analyzed. We find short-run asymmetric effects of exchange rate volatility in almost all industries that last into long-run asymmetric effects in 40–50 per cent of industries. Non-linear models yielded more significant effects of volatility than the traditional linear models.

scholarly journals Are the Responses of Sectoral Energy Imports Asymmetric to Exchange Rate Volatilities in Pakistan? Evidence From Recent Foreign Exchange Regime

2021 ◽  
Vol 9 ◽  
Author(s):  
Abdul Saqib ◽  
Tze-Haw Chan ◽  
Alexey Mikhaylov ◽  
Hooi Hooi Lean
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Foreign Exchange ◽  
Exchange Rate Volatility ◽  
Asymmetric Effects ◽  
Unit Root Testing ◽  
Long Run ◽  
Short Run ◽  
Bound Test

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.

Asymmetric Exchange Rate Effects on Cross-Border Freight Flows between the United States and Canada

2020 ◽  
Vol 2674 (4) ◽  
pp. 348-361
Author(s):  
Junwook Chi
Keyword(s):  
Exchange Rate ◽  
Linear Models ◽  
Bilateral Trade ◽  
Nonlinear Models ◽  
Exchange Rate Volatility ◽  
The United States ◽  
Trade Flows ◽  
Asymmetric Effects ◽  
Cross Border ◽  
Long Run

This paper investigates possible asymmetric influences of the exchange rate on cross-border freight flows between the U.S.A. and Canada. Linear and nonlinear autoregressive distributed lag models are used to test for the existence of long-run asymmetric effects of 1) currency appreciation and depreciation and 2) exchange rate volatility changes on trade flows by truck, rail, air, vessel, and pipeline. This paper provides evidence that both currency value and exchange rate volatility affect the U.S.–Canada freight flows in an asymmetric manner. The long-run results of the nonlinear models show that exchange rate is found to be significantly associated with the bilateral trade flows between the U.S.A. and Canada. Exchange rate volatility tends to be significantly associated with trade flows in the nonlinear models, while its effects are insignificant in most cases in the linear models. These findings suggest that the conventional linear specification may mislead the asymmetric effects of exchange rate uncertainty on cross-border freight flows. It is also found that exchange rate sensitivities of U.S.–Canada trade flows by transport mode can differ significantly from those of aggregate trade flows. The information derived from disaggregate trade data can be useful for traders and shippers to develop a long-term strategic plan for infrastructure investment and service expansion.

Exchange-Rate Volatility and Industry Trade Between Japan and China

2012 ◽  
Vol 12 (3) ◽  
pp. 1850268 ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Scott W. Hegerty ◽  
Jia Xu
Keyword(s):  
Exchange Rate ◽  
Bilateral Trade ◽  
Exchange Rate Volatility ◽  
Trade Flows ◽  
Negative Effects ◽  
Exchange Rate Uncertainty ◽  
Long Run ◽  
Bilateral Trade Flows ◽  
Short Run ◽  
Export Industries

Exchange-rate risk is often thought to reduce international trade flows, but numerous theoretical and empirical analyses have pointed toward positive as well as negative effects. This is particularly true when bilateral trade flows for individual industries are estimated. In this study, we extend the literature to the case of Japanese trade with China for 110 import industries and 95 export industries. Aggregate Japanese exports, but not imports, respond to real exchange rate volatility in the long run, while most individual export and import industries respond in the short run. Although many individual Japanese import industries are affected in the long run by risk, mostly negatively, this is even more the case for exporters. A larger proportion of Japanese export industries are affected by exchange rate uncertainty for most industry sectors. Manufacturing exports are particularly vulnerable to this risk, with a large share responding negatively to increased volatility.

scholarly journals Exchange Rate Volatility and Trade Flows: Evidence from China, Pakistan and India

2015 ◽  
Vol 7 (11) ◽  
pp. 121 ◽  
Author(s):  
Sarfaraz Ahmed Shaikh ◽  
Ouyang Hongbing
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Trade Flows ◽  
Series Data ◽  
General Level ◽  
Negatively Associated ◽  
Long Run ◽  
Short Run ◽  
The Exchange Rate ◽  
The Impact

This study examines the impact of exchange rate fluctuations on trade flows in case of China, Pakistan and India by using the time series data from 1980 to 2013. Most of the researchers have advocated that exchange rate volatility is negatively associated with general level of trade. In this study we have used the standard deviation of the moving average of the logarithm of the exchange rate as a proxy for volatility. And to investigate this relationship, we have applied the Autoregressive Distributive Lag (ARDL) approach for co-integration which estimates the short and long run relationship among the variables for the said period. The results of this empirical work have suggested that exchange rate volatility is negatively associated with Chinese exports in short run while positively associated in long run. However, in the case of Pakistan and India both in the short run and long run, the exchange rate volatility is negatively associated with total volume of trade.

Exchange rate volatility and exports from India: a commodity-level panel data analysis

2019 ◽  
Vol 12 (1) ◽  
pp. 23-44
Author(s):  
Chandan Sharma
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Exchange Rate Volatility ◽  
Nominal Exchange Rate ◽  
Exchange Rate Risk ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Relationship

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.

Does exchange rate volatility influence import commodities of India-US? Evidence from ARDL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohini Gupta ◽  
Sakshi Varshney
Keyword(s):  
Exchange Rate ◽  
Financial Crisis ◽  
Real Exchange Rate ◽  
Global Financial Crisis ◽  
Exchange Rate Volatility ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Empirical Analysis ◽  
Real Exchange Rate Volatility

PurposeThe aim the study is to explore the impact of real exchange rate volatility and other macroeconomic variable such as price of import, industrial production and real exchange rate on 45 import commodities, considering global financial crisis period on India's import from the US. The empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effect and causality among variables.Design/methodology/approachThe study uses E-GARCH model to gage the real exchange rate volatility, an autoregressive distributive lag (ARDL) bound test technique to discover the adequate short- and long-run relationships and Toda-Yamamoto causality method to analyze the causality among variables. The study uses the time period from 2002:M09 to 2019:M06.FindingsThe empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effects and causality among variables.Practical implicationsThe finding of the study suggests that macroeconomic variables have significant role and could be important to undertake the small and medium scale industries in policymaking. Government may need to make decision for micro, small and medium enterprises (MSMEs) as their performance can bring change in the trade to compete globally by increasing and controlling the price of the import and defending the domestic competitiveness.Originality/valueThe study uses additional variable namely price of import and includes the global financial crisis period to measure dampening effect on each commodity by using robust econometric technique in context of emerging nation like India.

On the link between policy uncertainty and housing permits: asymmetric evidence from state-level data in the USA

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsen Bahaman-Oskooee ◽  
Hesam Ghodsi ◽  
Muris Hadzic
Keyword(s):  
Error Correction ◽  
State Level ◽  
Policy Uncertainty ◽  
Content Type ◽  
Asymmetric Effects ◽  
Long Run ◽  
Ardl Approach ◽  
The Usa ◽  
Short Run ◽  
Error Correction Modeling

Purpose The purpose of this study is to assess the symmetric and asymmetric impact of a measure of policy uncertainty on house permits issued in each state of the USA. Design/methodology/approach To assess the symmetric effects, the authors use Pesaran et al.’s (2001) linear autoregressive distributed lag (ARDL) approach to error-correction modeling. To assess the asymmetric effects, they rely upon Shin et al.’s (2014) nonlinear ARDL approach to error-correction modeling. Both approaches have the advantage of producing short-run and long-run effects in one step. Findings The authors find short-run symmetric effects of policy uncertainty on house permits issued in 22 states that lasted into the long run in three states only. However, the numbers were much higher when they estimated the possibility of asymmetric effects of policy uncertainty. Indeed, they found short-run asymmetric effects in 38 states and long-run asymmetric effects in 18 states. Originality/value Some previous studies assessed the effects of a measure of policy uncertainty on house prices. In this paper, the authors extend the same analysis to the supply side of the housing market by assessing the effects of policy uncertainty on house permits in each state of the USA.

Asymmetric effects of oil price changes on the Nigerian exchange rate

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrick Onodje ◽  
Temitope Ahmdalat Oke ◽  
Oluwatimilehin Aina ◽  
Nazeer Ahmed
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Oil Price ◽  
Series Data ◽  
Price Changes ◽  
Content Type ◽  
Asymmetric Effects ◽  
Wald Tests ◽  
Long Run ◽  
Short Run

Purpose The purpose of this paper is to examine the effect of crude oil prices on the Nigerian exchange rate with emphasis on discriminating between the effects of positive and negative changes in oil price on exchange rate. Design/methodology/approach The authors used monthly time series data from 1996:1 to 2019:6 and adopted two oil price measures, namely, Brent crude and West Texas Intermediary prices. For analysis, the authors used stepwise least squares to estimate a non-linear ARDL (NARDL) model and Wald tests to determine cointegration and the presence of asymmetric effects. Findings The findings showed that positive and negative Brent crude price changes significantly affect exchange rates differently in nominal terms, both in the long-run and short-run. However, the differences were purely in terms of effect size because the exchange rate decreased for both negative and positive oil price changes. Originality/value Whilst empirical research on asymmetries in the effect of oil price on exchange rate abounds, little evidence exists in Nigeria’s case. Although some studies previously tested for asymmetric oil price effects on the Nigerian currency, the approach used did not estimate long and short-run effects or test of long-run and short-run asymmetries. This paper fills this methodological gap using monthly using the NARDL approach. The NARDL approach provided the advantage of estimating effects for the long-run and short-run and testing for asymmetries in both time spans.

Nonlinear ARDL approach, asymmetric effects and the J-curve

2015 ◽  
Vol 42 (3) ◽  
pp. 519-530 ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Hadise Fariditavana
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Trade Flows ◽  
Balance Model ◽  
Content Type ◽  
Asymmetric Effects ◽  
Currency Depreciation ◽  
Nonlinear Ardl ◽  
J Curve ◽  
Ardl Approach

Purpose – Previous research that investigated the effects of currency depreciation on the trade balance assumed that the adjustment of all variables in a given model is in linear fashion. The authors wonder if introduction of nonlinearity in the adjustment of some variables such as the exchange rate can shed additional light on evidence of the J-curve. The new approach also allows to test whether exchange rate changes have symmetric or asymmetric effects on the trade balance. Estimates of a trade balance model for Canada, China, Japan, and the USA reveal that the effects are indeed asymmetric. The paper aims to discuss these issues. Design/methodology/approach – The methodology is based on linear and nonlinear ARDL approach. Findings – When nonlinearity is introduced into testing approach for the J-curve, more evidence is found in support of the J-curve. Research limitations/implications – The models are estimated using aggregate trade flows of each country with the rest of the world, hence they suffer from aggregation bias. Using trade flows at bilateral level and at commodity level are highly recommended for future research. Originality/value – This is the first paper that applies nonlinear ARDL approach to test the short-run and long-run effects of currency depreciation on the trade balance.

Sign in / Sign up

Export Citation Format

Share Document