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

Previous studies that have investigated the impact of real depreciation of the Thai baht on Thailand's trade flows have either used aggregate trade data between Thailand and the rest of the world, or between Thailand and its major trading partners. These studies have provided mixed results. In this paper, we disaggregate the trade flows between Thailand and its major trading partner, the US, by commodity and investigate the impact of currency depreciation on the export earnings of 118 American exporting industries and the outpayments of 42 American importing industries. While most industries are affected in the short run, the short-run results last into the long run in several small industries. The inpayments of large exporting industries and the outpayments of large importing industries are not affected. Economic activity seems to be the major long-run determinant of the performance of most industries.     

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.     

Is there J-Curve effect in Africa?

The J-Curve is a term used to describe the post-devaluation behavior of the trade balance, i.e., initial deterioration followed by an improvement. Previous research has tested the phenomenon for many developed and developing countries. However, African nations have not received any attention on this regard. In this paper, we test the hypothesis for nine African countries of Burundi, Egypt, Kenya, Mauritius, Morocco, Nigeria, Sierra Leone, South Africa, and Tanzania for which quarterly trade data were available. After using the bounds testing approach to cointegration and error-correction modeling, we were unable to find any support for the J-Curve.     

S‐curve Dynamics of Trade in Africa*

Abstract: Two concepts summarize the short‐run relationship between the trade balance and the terms of trade or the real exchange rate, the old concept known as the J‐curve and a new concept that comes under the heading of the S‐curve. The S‐curve introduced in 1994 basically claims that while the cross‐correlation between past value of the trade balance and current value of the exchange rate is negative, the correlation is positive between the future value of trade balance and the current value of the exchange rate. In this paper we investigated the experiences of 20 African nations and found support for the S‐curve in eight of them.     

Do Real Exchange Rates Follow a Nonlinear Mean Reverting Process in Developing Countries?

In an effort to fight relatively high inflation, many developing countries try to manage their nominal exchange rates through official intervention. In addition, developing countries tend to have high transportation costs, tariffs, and nontariff barriers. These factors are among the sources of generating nonlinearity in real exchange rates and hence some nonlinear adjustment toward purchasing power parity (PPP) in developing countries. In this paper, we employ monthly real effective exchange rate (REER) data of 88 developing countries and test the null of nonstationarity versus an alternative of linear stationarity by the means of a conventional unit root test and compare the results with those obtained from a new test in which the null is the same but the alternative hypothesis is nonlinear stationarity. The latter test supports the PPP theory in more developing countries compared with the former test, suggesting that nonlinear adjustment toward PPP in developing countries is an important phenomenon. Reported country characterizations indicate that reversion in REER occurs more often for high-inflation countries and for countries with high flexibility in their exchange rates.     

A disaggregated approach to test the J-Curve phenomenon: Japan versus her major trading partners

A limited number of studies have tested the J-Curve phenomenon using bilateral trade data between the United States and its major trading partners. In this paper, we test the J-Curve hypothesis by using quarterly bilateral data over the 1973–98 period between Japan and its nine major trading partners. We demonstrate that when aggregate data are used, there is no evidence of the J-Curve in the short run or any significant relation between trade balance and effective exchange rate in the long run. However, when bilateral data are employed, we find evidence of the J-Curve between Japan and Germany as well as between Japan and Italy. We also find that real depreciation of the yen has favorable long-run effects in the cases of Canada, the United Kingdom, and the United States.     

Bilateral S-curve between Japan and her trading partners

The cross-correlation function between terms of trade and trade balance has been found to resemble a pattern that is labeled the S-curve. This pattern has received weak support in some developed and less developed countries when aggregate trade data are used. Empirical regularities based on aggregate trade data may be biased since aggregation can potentially suppress some of patterns observed in trade at the bilateral levels. We try to overcome this problem by employing bilateral trade data for Japan and find strong support for the S-curve between Japan and many of her trading partners.