Exchange rate volatility–economic growth nexus in Uganda

The global financial crisis has disrupted trade and capital flows in most developing economies, resulting in an increased volatility of exchange rates. We develop an autoregressive distributed lag model to investigate the effect of exchange rate volatility on economic growth in Uganda. Using data spanning the period 1960–2011, we find that exchange rate volatility positively affects economic growth in Uganda in both the short run and the long run. However, in the short run, political instability negatively moderates the exchange rate volatility–economic growth nexus. These results are robust to alternative specifications of the economic growth model.     

Does exchange-rate uncertainty matter in the Malaysia–E.U. bilateral trade? An industry level investigation

Due to ambiguity in the past literature, researchers have examined exchange rate volatility effect on trade using disaggregated data in recent years. Previous research has focused more on aggregated data having aggregation bias which has led to unnecessarily over-generalized findings. This study investigates the impact of exchange rate volatility on the Malaysian bilateral trade flows with European Union using industry level data. Our empirical findings, based on auto-regressive distributed lag framework, suggest that many import and export industries experience exchange rate volatility influence in the short run, while a very small number of industries show this effect in the long run. Moreover, the adverse impact of financial crisis (2007–2008) is more prevalent on import industries compared to export industries.     

Asymmetric effect of exchange rate volatility on India's cross‐border trade: Evidence from global financial crisis and multiple threshold nonlinear autoregressive distributed lag model

This paper examines the asymmetric effect of exchange rate volatility on India's cross‐border trade with its major trading partners: Japan, Germany, the United States, and China. We extend previous studies in two ways. First, we examine whether global financial crisis changes the asymmetric effect of exchange rate volatility on India's cross‐border trade. Next, we divide exchange rate volatility into quintiles and examine the effect of each quintile on cross‐border trade by using the multiple threshold nonlinear autoregressive distributed lag (MTNARDL) model. Our findings from standard nonlinear ARDL (NARDL) indicate that the asymmetric relationship between exchange rate volatility and cross‐border trade changes as a result of global financial crisis. In addition, findings from MTNARDL indicate that in short‐run, exchange rate volatility symmetrically affects India's cross‐border trade with all sample countries whereas in long‐run it asymmetrically affects cross‐border trade. Overall, these findings are very important for policy implications and open a new dimension to exchange rate volatility and trade flows.     

IMPACT OF EXCHANGE RATE UNCERTAINTY ON COMMODITY TRADE BETWEEN THE US AND AUSTRALIA*

Exchange rate volatility is said to have negative or positive effect on trade flows. Previous studies that considered the impact of exchange rate uncertainty on the trade flows of Australia employed trade data either between Australia and rest of the world or between Australia and her few major trading partners. They were unable to discover any significant impact. In this paper when we disaggregate trade data by commodity between Australia and one of her major trading partners, the US, we find exchange rate volatility to have short‐run effects on trade flows of most industries. However, the short‐run effects last into long run, only in limited cases, though more in export commodities than import ones.     

The Threshold Effect of Exchange Rate Volatility on Trade Volume: Evidence from G-7 Countries

Abstract

This paper uses a threshold model to examine a possible threshold effect in the impact of exchange rate volatility on trade volume for the bilateral trade volumes between the US and other G-7 countries. A grid-searching method is used to obtain the threshold points, and time-series econometric techniques are applied to estimate the long run stable relationships as well as short-run dynamics. The results support the existence of nonlinearity in the effect of exchange rate volatility, and indicate that trade volume tends to increase when exchange rate volatility surpasses a certain threshold point.     

Impact of exchange-rate variability on commodity trade between U.S. and Germany

Previous studies that looked at the impact of exchange rate volatility on trade flows used aggregate trade data between one country and rest of the world or between two countries. More recent studies, however, have expanded the literature by using a highly disaggregated commodity level data between two countries. In this paper we consider the sensitivity of 131 industries that trade between U.S. and Germany. We find that exports and imports of a majority of the industries react to the real dollar–euro volatility in the short run. The short-run effects, however, last into the long run only in almost 50 % of the industries. Among these industries, while almost all U.S. exporting industries are affected favorably by exchange rate volatility, a majority of the U.S. importing industries are affected adversely.     

The effects of exchange rate volatility on exports: evidence from Armenia

The article examines how the volatility of exchange rate affected Armenia’s export to its main trading partner, Russia, in the period from January 2007 to February 2016. Along with real foreign income and competitiveness, the exchange rate volatility is considered as a determinant of real export. The estimation results indicate that the exchange rate volatility has negative significant effects on real export both in the long run and in the short run.     

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

The impact of exchange rate volatility on trade flows continues to occupy the international finance literature. More recent studies have deviated from the traditional approach of using aggregate trade flows and have employed trade data at commodity level. This study investigates the impact of exchange rate uncertainty on the trade flows of 118 US exporting industries to Thailand and 41 US importing industries from Thailand. We find that exchange rate uncertainty has short-run effects on the trade flows of most industries. In the long-run, the main determinants of the trade flows are the level of economic activity in both countries.     

Exchange rate volatility and bilateral exports of Malaysia to Singapore,China, Japan,the USA and Korea

This study examines the impact of exchange rate volatility on bilateral exports of Malaysia to Singapore, China, Japan, the USA and Korea. Exchange rate volatility is estimated by an autoregressive conditional heteroscedasticity model. The Johansen cointegration method and the dynamic ordinary least squares estimator are used in the estimations. There is some evidence of exchange rate volatility to have significant impact on real total exports in the long run, but more evidence of exchange rate volatility is found to have significant impact on sub-categories of real total exports in the short run. The impact of exchange rate volatility differs across bilateral exports. The impact of exchange rate volatility on exports can be negative or positive. Generally, exchange rate volatility is not harmful to bilateral exports of Malaysia.     

Analyzing exchange rate uncertainty and bilateral export growth in China: A multivariate GARCH-based approach

Dramatic changes to exchange rate policy for the world's largest exporter have arguably ushered in the optimal environment for studying the effects of exchange rate uncertainty on trade. This study builds on the recent literature by using an extremely general model that measures volatility using the flexible multivariate DCC-GARCH model to analyze the impact exchange rate uncertainty has on bilateral export growth for China's ten largest export markets. All model parameters are estimated simultaneously and lagged values of uncertainty are included for a full year, where significant effects are found. The more general methods potentially overcome issues associated with inefficient two-step methods and the assumption that volatility impacts are close to instantaneous. Using a comprehensive sample that spans 1994–2017, the paper presents evidence that exchange rate uncertainty has no impact on trade with the United States, which strongly contrasts a robust finding of trade deterring impacts for almost all remaining countries. The unifying methodology is also used to analyze nominal uncertainty itself. Here, it is found that Chinese inflation may be a positive contributor to risk in an environment where many exogenous events, such as the Asian currency crisis, are associated with periods of heightened yuan uncertainty.     

Exchange rate volatility and capital inflows: role of financial development

There is vast literature examining the impact of exchange rate volatility on various macroeconomic aggregates such as economic growth, trade flows, domestic investment, and more recently capital flows. However, these studies have ignored the role of financial development while examining the impact of exchange rate volatility on capital flows. This study aims to analyze the impact of exchange rate volatility on capital inflows towards developing countries by incorporating the role of financial development over the time period 1980–2013. In this regard, the behavior of two types of capital flows is examined: physical capital inflows measured as foreign direct investment, and financial inflows quantified through remittance inflows. The empirical investigation comprises the direct as well as indirect effect of exchange rate volatility on capital inflows. The study employs dynamic system GMM estimation technique to empirically estimate the effect of exchange rate volatility on capital inflows. The empirical results of the study identify that exchange rate volatility dampens both physical and financial inflows towards developing countries. The indirect impact of exchange rate volatility through financial development, however, turns out positive and statistically significant. This finding reflects that financial development helps in reducing the harmful impact of exchange rate volatility on capital inflows. Hence, the study concludes that a developed financial system is an important channel through which developing countries may improve capital inflows in the long run.     

On the asymmetric effects of exchange rate volatility on trade flows: New evidence from US-Malaysia trade at the industry level

All previous studies that assessed the impact of exchange rate volatility on trade flows assumed that the effects are symmetric. In this paper, we open a new path in the literature by arguing that indeed the effects of exchange rate volatility on trade flows could be asymmetric. The asymmetric effects are mostly due to the change in expectations of traders when a currency depreciates as compared to a case when that currency appreciates. We demonstrate the asymmetric effects by using monthly data from 54 Malaysian industries that export to the U.S. and from 63 Malaysian industries that import from the U.S. The application of the nonlinear Autoregressive Distributed Lag (ARDL) approach of Shin et al. (2014) supports short-run as well as long-run asymmetric effects in almost 1/3rd of the industries. The approach identifies industries that are affected when volatility increases versus those that are affected when volatility declines.     

AGGREGATION,HETEROGENEOUS AUTOREGRESSION AND VOLATILITY OF DAILY INTERNATIONAL TOURIST ARRIVALS AND EXCHANGE RATES*

Tourism is a major source of service receipts for many countries, including Taiwan. The two leading tourism countries for Taiwan are Japan and the USA, which are sources of short‐ and long‐haul tourism, respectively. As a strong domestic currency can have adverse effects on international tourist arrivals through the price effect, daily data from 1 January 1990 to 31 December 2008 are used to model the world price, exchange rates, and tourist arrivals from the world, the USA and Japan to Taiwan, and their associated volatility. Inclusion of the exchange rate and its volatility captures approximate daily and weekly price and price volatility effects on world, US and Japanese tourist arrivals to Taiwan. The heterogeneous autoregressive model is used to approximate the slowly decaying correlations associated with the long‐memory properties in daily and weekly exchange rates and international tourist arrivals, to test whether alternative short‐ and long‐run estimates of conditional volatility are sensitive to the long‐memory in the conditional mean, to examine asymmetry and leverage in volatility, and to examine the effects of temporal and spatial aggregation. The approximate price and price volatility effects tend to be different, with the exchange rate typically having the expected negative impact on tourist arrivals to Taiwan, whereas exchange rate volatility can have positive or negative effects on tourist arrivals to Taiwan. For policy purposes, the empirical results suggest that an arbitrary choice of data frequency or spatial aggregation will not lead to robust findings as they are generally not independent of the level of aggregation used.     

Exchange rate volatility and export growth in Nigeria

This article examines the impact of exchange rate volatility on Nigeria's exports to its most important trading-partner–the United States over the quarterly period January 1980 to April 2001. Using cointegration and vector error correction (VECM) framework, empirical tests indicate the presence of a unique cointegrating vector linking real exports, real foreign income, relative export prices and real exchange rate volatility in the long run. Furthermore, the results show that increases in the volatility of the real exchange rate raise uncertainty about profits to be made which exert significant negative effects on exports both in the short- and long-run. Our results also show that improvements in the terms of trade (represented by declines in the real exchange rate) and real foreign income exert positive effects on export activity. Most importantly, we found that the trade liberalization and economic reform policies implemented in the post-1986 structural adjustment period contributed to Nigeria's export performance. Overall, our findings suggest that Nigeria's exporting activities can be further boosted by policies aimed at achieving and maintaining a stable competitive real exchange rate.     

Impact of exchange rate volatility on commodity trade between US and Hong Kong

The impact of exchange rate uncertainty on trade flows is still the center of attention in international economics. A few studies that have looked at this effect in Hong Kong have used either aggregate data between Hong Kong and the rest of the world or between Hong Kong and several of her major trading partners. They have been unable to locate any significant effect. Suspecting that existing studies could suffer from aggregation bias, we concentrate on the trade between Hong Kong and the US and disaggregate their trade flows further by commodity. Out of 140 Hong Kong importing industries and 104 exporting industries considered, we find short-run effects in the majority of the industries. The short-run effects translated into the long run in 81 of Hong Kong import industries and 51 of her export industries, a finding that contradicts previous research.     

Exchange rate volatility and US commodity trade with the rest of the world

Exchange rate volatility is argued to affect the trade flows negatively and positively. Indeed, empirical studies that have addressed the issue have supported both effects. These studies have used aggregate trade flows data either between one country and the rest of the world or between two countries at the bilateral level. Studies that have disaggregated trade data by industry are rare. Thus, we extend the literature by looking at the experiences of 66 American industries that trade with the rest of the world using monthly data. In most cases, trade flows are not affected by GARCH‐based volatility of the real effective exchange rate of the dollar.     

Does black market exchange rate volatility deter the trade flows? Iranian experience

Previous studies that investigated the impact of exchange rate volatility on the trade flows, employed official exchange rate data to construct a measure of exchange rate uncertainty. In this paper we show that in countries that there is a black market for foreign exchange, the black market exchange rate volatility could have adverse effect on the trade flows. We show this by using data from Iran and cointegration analysis.     

Testing J-curve hypothesis and analysing the effect of exchange rate volatility on the balance of trade in India

This study estimates the balance of trade model similar to Rose (1991) to test the J-curve hypothesis and analyse the effect of conditional exchange rate volatility on the balance of trade in India. The model is estimated on quarterly data from 1975:02 to 1996:03 and the exchange rate is measured alternatively in terms of the trade and export weighted real effective exchange rate. The model variables are tied together in a long run equilibrium relationship. The study does not find any evidence for the presence of the J-curve effect in the balance of trade. The study finds the presence of weak ARCH but strong GARCH effects in the exchange rate series. But this exchange rate volatility does not play any significant role in affecting the balance of trade in India.Jel classification: F31, F32, F40, F41I am grateful to Dr. Glenn Otto of the University of New South Wales, Sydney, Australia for his valuable comments and incisive suggestions which helped to improve the paper substantially. I am also gratefull to an anonymous Referee and Editor, Baldev Raj, of the Journal for giving very useful suggestions. However, I am solely responsible for any error and omission that may remain in the paper. The views expressed in the article are my personal views and not of the institution Iam associated with.First version received: October 2000/Final version received: October 2002     

Exchange‐Rate Risk and Japanese–Thai Industry Trade

Over the past decade, many papers have studied the effects of exchange‐rate volatility on international trade, particularly at the bilateral level for large numbers of individual industries. This is necessary because the underlying theory is ambiguous and because earlier papers failed to uncover significant results at a higher degree of aggregation. This paper examines the case of Japan and Thailand over the period from 1970 to 2010. We find that slightly more than half of 117 export industries and 54 import industries are affected by volatility in the short run. In the long run, 6 export and 2 import industries are affected positively, and 22 export and 9 import industries are affected negatively. Small Japanese export industries are more likely to be negatively affected, while imports show no differences regarding industry size. In a sectoral analysis, we find some evidence that Japanese exports of manufactures and certain machinery and transport equipment might be relatively more affected by the exchange‐rate risk. Raw material imports are least affected. These findings therefore suggest which industries might benefit most by a policy promoting a stable yen.     

人民币名义汇率与中国对欧元区国家出口的关系

本文运用时间序列分析中的单位根检验、Johansen协整检验和误差修正模型,就1999年到2005年间人民币名义汇率变动对中国向欧元区国家出口的影响进行了实证分析.实证结果表明,人民币名义汇率变动对中国向欧元区国家出口贸易的短期影响效果不显著.从长期来看,人民币名义汇率升值可以改善中国对欧元区国家的出口状况,而人民币汇率波动幅度的加大则不利于中国对欧元区国家的出口.