THE J‐CURVE AT THE INDUSTRY LEVEL: EVIDENCE FROM TRADE BETWEEN THE US AND AUSTRALIA*

Previous studies that tested the J‐curve phenomenon for Australia used trade data either between Australia and the rest of the world or between Australia and its trading partners on a bilateral basis. They were unable to find support for the J‐curve in the short run nor any significant relation between the trade balance and the exchange rate in the long run. In this paper we disaggregate the data between Australia and its second largest trading partner, the US, and consider the trade between 108 industries. Using annual data over the 1962–2003 period and bounds testing approach to cointegration and error‐correction modelling, we are able to discover short‐run effects of currency depreciation on the trade balance in 64 industries. The long‐run and positive effects were only evidenced in 35 cases, supporting the J‐curve.     

The J-curve: evidence from commodity trade between UK and China

China is often accused of manipulating its currency to gain international competitiveness. Previous studies have tried to address this issue by investigating the impact of yuan depreciation on China’s trade balance. Not only have they failed to establish the link between the Chinese exchange rate and its trade balance with the rest of the world but also between China and her major trading partners. In this article, we consider the China–UK trade balance and disaggregate their trade flows by commodity. Out of the 47 industries considered, we show that the real depreciation has favourable short-run effects in most industries. However, the short-run effects last into the long run only in seven cases.     

The bilateral J‐curve: Canada versus her 20 trading partners

There is a common belief that currency depreciation worsens the trade balance in the short run and improves it in the long run resulting in the so called J‐curve phenomenon. Early studies employed aggregate data and provided mixed results. Recent studies, however, have employed disaggregated data to remove any aggregation bias from their analysis. In this article we consider the Canadian experience and test the phenomenon between Canada and her 20 major trading partners. Using quarterly data and the bounds testing approach to cointegration, and error‐correction modelling we were able to provide support for the J‐curve in 11 out of 20 cases.     

Commodity trade between Pakistan and the US: is there evidence of the J-curve?

A few studies that have attempted to estimate the short-run (J-curve) and long-run impact of exchange rate depreciation on Pakistan’s trade balance are either based on aggregate trade data between Pakistan and the rest of the world or between Pakistan and her bilateral trading partners. The findings are mixed at best. Considering the trade balance between Pakistan and the US, as one of its major partners, no significant effects have been discovered. Suspecting that the trade flows between the two countries could suffer from another aggregation bias, we disaggregate their trade flows by commodity and consider the trade balance of 45 industries that trade between the two countries. We find significant short-run effects of currency depreciation on the trade balance of 17 industries. The short-run effects last into the long run in 15 cases. The largest industry that account for more than 10% of the trade seems to benefit from real depreciation in the long run.     

Asymmetric Effects of Exchange Rate Changes and the J‐curve: New Evidence from 61 Malaysia–Thailand Industries

Research on the impact of currency depreciation on the trade balance is now moving in a new direction by incorporating nonlinear dynamic adjustment of the exchange rate and by using a nonlinear approach to error‐correction modeling and cointegration. Using these advances, researchers find not only more evidence of the J‐curve effect, but also new evidence of asymmetric effects of exchange rate changes on the trade balance. We contribute to this line of research by using monthly trade flow data from 61 two‐digit industries that trade between Malaysia and Thailand, and show that not only does currency depreciation have favorable effects on the trade balance of more industries, but the long‐run effects are asymmetric in 26 out of 61 cases. In line with current literature, our nonlinear model performs much better than the linear model when industry level data are used.     

The Bilateral J‐Curve in Australia: A Nonlinear Reappraisal

Since the introduction of error‐correction and cointegration techniques, the J‐curve effect implies an initial short‐run deterioration of the trade balance, followed by improvement later due to currency devaluation. In a previous study of Australia’s bilateral trade, with each of her 23 partners, using the linear Autoregressive Distributed Lag (ARDL) approach we found the J‐curve effect in the model with the United Kingdom only. However, after incorporating the ARDL model that allows for nonlinear adjustment of exchange rate changes, we found the effect on four more partners – all asymmetrically. Furthermore, we document short‐run asymmetry in exchange rate changes in almost all models; short‐run adjustment asymmetry, and impact‐asymmetry in almost half of the models.     

The Malaysian Real Trade Balance and the Real Exchange Rate

The cointegration technique is used to examine the long‐run and short‐run relationships between the real Malaysian trade balance with the real exchange rate, domestic and world incomes. The results suggest that a real ringgit exchange rate depreciation improves the trade balance in the long run. World and domestic incomes are also found to be important determinants of trade balance. The significance of world income on trade balance indicates that Malaysia is prone to external shocks. An error‐correction model is then estimated to study the short‐run dynamics of the effects of exchange rate. The impulse response analysis shows that the effect of exchange rate on the trade balance lasts for about three years. A devaluation of ringgit will initially improve the trade balance, albeit small, after which the trade balance starts to deteriorate, and then improves again suggesting that there exists a delayed J‐curve.     

US–Indonesia trade at commodity level and the role of the exchange rate

Previous studies that assessed the impact of currency depreciation on inpayments and outpayments of Indonesia with her major trading partners did not find much significant results, especially in the trade with the United States. We wonder whether insignificant link between the real rupiah-dollar rate and Indonesia’s inpayments and outpayments with the United States is due to aggregation bias. To answer this question, we disaggregate the trade flows between the two countries by commodity and consider the sensitivity of inpayments of 108 US exporting industries and outpayments of 32 US importing industries from Indonesia. We find that most industries respond to exchange rate changes in the short run. In the long run, however, 32 inpayments schedule and 17 outpayments schedule are significantly affected. A 1% real depreciation of the dollar was found to improve US trade balance by 1.8%.     

How responsive are trade flows between Malaysia and China to the exchange rate? Evidence from industry data

This paper investigates the impact of currency depreciation on bilateral trade between Malaysia and China, especially how a real depreciation of ringgit against the yuan on each industry’s inpayments and outpayments affect the trade balance. We employ disaggregated quarterly data on import and export for 52 industries over the period 1993Q1 to 2012Q4. The results from the bounds testing approach to the cointegration and error-correction model reveal that the real bilateral exchange rate has short and long-run effects on the inpayments and outpayments of the industries. However, the short-run effects shift into the long run in 14 out of 35 industries in the inpayment models and 17 out of 44 industries in the outpayments models. Most of these are small industries producing intermediate goods. According to the ML condition, the depreciation of ringgit against yuan improves Malaysia’s trade balance with China in these industries.     

A nonlinear approach to the U.S.–Australia commodity trade and the J‐curve: Evidence from 123 industries

The application of nonlinear models and asymmetric analysis have recently proven to yield results that are superior to those of the linear and symmetric analysis. However, the new approaches in testing the J‐curve between Australia and the rest of the world or between Australia and her trading partners such as the United States did not yield any significant outcomes. Suspecting that those results suffer from aggregation bias, we apply new methods to the trade flows of 123 industries that trade between the United States and Australia and give evidence of an asymmetric J‐curve in 28 industries. Furthermore, we find short‐run asymmetric effects of exchange rate changes on the trade balance of almost all studies, short‐run impact asymmetric effects in 27 industries and significant long‐run asymmetric effects in 56 industries. Our findings are industry‐specific.     

The J-curve: Malaysia versus her major trading partners

Currency depreciation is said to worsen the trade balance before improving it, hence the J-curve phenomenon. Since introduction of cointegration and error-correction modelling, researchers have tried to distinguish the short-run effects of currency depreciation from its long-run effects. A few studies that have investigated the experience of Malaysia, have relied upon aggregate trade data and have found no strong support for a significant relation between the real value of the ringgit and the Malaysian trade balance. In this article, we disaggregate the data by country and consider Malaysia's bilateral trade balance with her 14 largest trading partners. Using bound testing approach to cointegration and error-correction modelling, we provide some support for the J-curve hypothesis.     

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.     

NONLINEAR AUTOREGRESSIVE DISTRIBUTED LAG APPROACH AND BILATERAL J‐CURVE: INDIA VERSUS HER TRADING PARTNERS

The J‐curve studies related to India have mostly either used aggregate trade flows of India with the rest of the world or between India and its trading partners. They have all assumed exchange rate changes have symmetric effects on Indian trade balance. In this article, we use partial sum concept combined with the nonlinear autoregressive distributed lag approach of Shin et al. to show that indeed in some instances, there are evidences of asymmetry effects of currency depreciation. This new nonlinear approach provides more support for the J‐curve than the previous linear approaches. (JEL F31)     

Time-varying regional integration of stock markets in Southeast Europe

In an attempt to assess the impact of currency depreciation on the trade balance, recent studies are employing disaggregated trade data to avoid aggregation bias. However, since import and export prices are not available at disaggregated level, recent studies are using export and import values rather than their volumes so that they can establish direct relation between inpayments and the exchange rate as well as between outpayments and the exchange rate. This study explores the experience of Malaysia. Bilateral inpayments and outpayments models are estimated between Malaysia and her 14 trading partners using quarterly data and bound testing approach to cointegration. The results show that while real depreciation of the ringgit has short-run effects, in the long-run it increases Malaysia's inpayments from only five trading partners.     

The J‐Curve: Evidence from Fiji*

This article provides new evidence on both long run and short‐run determinants of trade balance for Fiji and investigates evidence of J‐curve adjustment behaviour in the aftermath of a devaluation. We adopt a partial reduced form model that models the real trade balance directly as a function of the real exchange rate and real domestic and foreign incomes. Cointegration analysis is based on a recently developed autoregressive distributed lag approach—shown to provide robust results in finite samples. The long run elasticities are also estimated using a dynamic ordinary least squares approach and the Fully Modified Ordinary Least Squares (FM‐OLS) approach. Amongst our key results we find that there is a long‐run relationship between trade balance and its determinants. There is evidence of the J‐curve pattern; growth in domestic income affects Fiji’s trade balance adversely while foreign income improves it.     

The J-curve: evidence from commodity trade between US and China

In testing the short-run (J-curve effect) and the long-run effects of currency depreciation on the trade balance many researchers have used either trade data between one country and the rest of the world or between one country and another trading partner. Both groups are said to suffer from aggregation bias. To reduce the bias, in this article we consider trade data between one country (the US) and her trading partner (China) disaggregated by commodity. We use imports and exports of 88 industries (2-digit and 3-digit classifications) and cointegration analysis to show that the trade balance of at least 34 of the industries react favourably to real depreciation of the dollar. The J-curve effect is detected in 22 industries. Furthermore, most of these industries that are sensitive to currency depreciation are durable commodity groupings.     

Competitive devaluations in commodity‐based economies: Colombia and the Pacific Alliance Group

This paper investigates whether there is an S‐curve in Colombia using bilateral and disaggregated quarterly data for the period 1991 to 2014. More precisely, the short‐run effects of a depreciation on the trade balance (TB ) are analyzed in 27 industries covered by the Pacific Alliance Group free trade agreement. The S‐curve found in sectors representing 30 percent of total industrial production suggests that in these cases competitive devaluations have a positive effect on the TB in the short run. Our findings have important policy implications: since only large competitive devaluations can restore TB equilibrium, industrial restructuring would appear to be a more sensible strategy, though this cannot be achieved in the short run and is instead a medium‐ to long‐term goal.     

Bilateral J-curve between the UK vis-à-vis her major trading partners

Currency depreciation is said to worsen the trade balance first before resulting in an improvement, yielding a short-run pattern labelled the J-curve phenomenon. While early studies tested the J-curve by using aggregate trade data, a few recent studies have employed bilateral data, mostly between the US and her major trading partners. In this paper we extend the literature by considering the experience of the UK. We test the phenomenon between the UK and her twenty major trading partners by employing data over 1973Q1–2001Q3 period. In most instances, we find no support for the J-curve in the short-run. In the long run, only in five cases has the exchange rate had significant impact on the bilateral trade balance.     

Is Devaluation Working? Evidence from India in Phase of Economic Liberalization

Using the data from a developing country like India, we offer an empirical analysis to examine the relationship between devaluation of the Rupee and the real trade balance with her major trading partners since the liberalization process that began in July 1991. Exploiting the recent advances in panel-data time-series econometrics, we document that devaluation may not be effective in improving trade balance in the long run. Success may follow only if the policymakers view devaluation as a short run tool to improve the trade balance. Nominal devaluation is unable to alter real exchange rates substantially and hence, the inflationary impact of devaluation is large in India.

     

The U.S. trade imbalance and real exchange rate: An application of the heterogeneous panel cointegration method

The United States economy suffers from persistent trade deficits, arising from the so-called ‘global external imbalance’. Can the depreciation of the US dollar improve this phenomenon? This study for the first time applies the heterogeneous panel cointegration method to examine the long-run relationship between the real exchange rate and bilateral trade balance of the U.S. and her 97 trading partners for the period 1973–2006. Using new annual data, the empirical results indicate that the devaluation of the US dollar deteriorates her bilateral trade balance with 13 trading partners, but improves it with 37 trading partners, especially for China. In the panel cointegrated framework, a long-run negative relationship between the real exchange rate and the bilateral trade balance exists for the U.S.