An analysis on the impact of exchange rate volatility on China–Japan trade of agricultural products—an empirical study based on the expanded gravity model

2015 ◽  
pp. 213-222
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Banna Banik ◽  
Chandan Kumar Roy

PurposeExchange rate uncertainty leads to an indecisive environment for imports and exports that would condense international trade, foreign direct investment, trade earnings, trade volumes, economic growth and welfare. This study aims to examine, empirically, the effect of exchange rate uncertainty on bilateral trade performance, focusing on eight SAARC member economies using the popular modified gravity model of trade.Design/methodology/approachThe paper includes eight SAARC members – Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, Pakistan and Sri Lanka panel data set over the period 2005–2018. The authors consider both standardized value (standard deviation) and conditional variance model to determine volatility of exchange rate. Primarily, ordinary least squares, random effects and fixed effects estimation techniques are employed to investigate the impact of exchange rate volatility. Endogeneity and robustness of the findings have been tested using the simultaneity-adjusted model and dynamic panel data two-step system GMM estimation techniques.FindingsEmpirical findings endorse the view that exchange rate volatility lowers trade flows in the SAARC regions. However, this adverse effect of exchange rate uncertainty on trade is pretty small. The negative correlation between exchange rate volatility and bilateral trade remains consistent and significant after controlling of simultaneous causality, autocorrelation, year effects, country-pair heterogeneity and endogeneity irrespective of panel data estimation techniques and different measures of volatility.Originality/valueThe present paper is original work.


Author(s):  
Jana Šimáková ◽  
Daniel Stavárek

This paper contributes to the economic literature on the impact of exchange rate volatility on Hungary’s foreign trade. Basic gravity model shows that trade volume between a pair of countries is an increasing function of their sizes (GDP) and a decreasing function of the distance between them. Additional factors included in extended model are population, dummy for common border and proxy for exchange rate volatility. The measure of exchange rate volatility is estimated by GARCH model. This paper explores relationship between trade and exchange rate uncertainty using quarterly data over the period 1999:1 – 2014:3. In order to obtain the objective result, we use the panel data regression for 10 sectors of Hungarian international trade based on SITC classification and six major trading partners (Austria, Germany, France, United Kingdom, Italy and Poland). The significant parameters obtained from panel regression demonstrate that bilateral exchange rate volatility leads to a decrease in Hungary’s foreign trade.


2018 ◽  
Vol 1 (4) ◽  
pp. 9-18
Author(s):  
Rasulov Tulkin Sattarovich ◽  
Khushvaktov Kuvonchbek Ravshanovich

In today’s world of swiftly increasing global economy and continuously changing international trade laws and technology exchange rate plays a pivotal role in the production, price formation, export and import of agricultural products. For many years exchange rate as an integral part of agricultural economics has been ignored. The present study was intended to investigate exchange rate as an impacting factor on the agricultural production. It also considers the researches that have been carried about the impact of the exchange rate on prices and export of agricultural products, theirs analyses and how much impact it has in the situation of Uzbekistan.


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.


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