Exchange-rate variability and U.S.-French trade flows: evidence from industry data

Recent studies have greatly expanded the literature on the effects of exchange-rate volatility on industry-level bilateral trade flows. In this study, we examine the case of the United States and France, applying cointegration analysis to a set of 146 U.S. export and 115 U.S. import industries. We find that the majority of industries show little or no relationship between risk and trade volumes, but that small industries—particularly for exports—show more sensitivity than do large ones. A disproportionate share of industries respond positively to increased volatility, particularly among U.S. importers, suggesting the presence of “risk loving” behavior.     

Nominal and real effective exchange rates of middle eastern countries and their trade performance

Indexes of real and nominal effective exchange rates that are published by the IMF, are mostly for industrial countries. None of the Middle Eastern countries have received any attention on this regard. This paper tries to close the gap by constructing such indexes for 11 middle eastern countries over 1971(I)–1994(IV) period. As an application, long-run response of their trade balance to devaluation is also investigated.     

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.     

Impulse response analysis and Orcutt’s hypothesis in trade: evidence from developing countries

Orcutt’s hypothesis in international economics implies that trade flows respond to exchange rate changes faster than to changes in relative prices. Most previous studies used import and export demand models and tested the hypothesis by imposing and comparing lag lengths on the exchange rate and relative prices. One recent study, however, employed impulse response of trade flows to one SD shock to the nominal exchange rate and one SD shock to relative prices and tested the Orcutt’s hypothesis for several industrial countries. In this article we follow this study and test the hypothesis for six developing countries using impulse response analysis. Like the other study for industrial countries, we do not find much support for the hypothesis.     

Asymmetry Effects of Exchange Rate Changes on Domestic Production: Evidence from Nonlinear ARDL Approach

Currency depreciation is said to have positive or negative effects on domestic production. Previous studies that tried to address this issue using Australian data have been inconclusive at best but mostly showed no effects. One common feature of all studies is that they have assumed that the effects of exchange rate changes are symmetric. In this paper, we use the concept of partial sum and separate appreciations from depreciations to test whether the effects are symmetric or asymmetric. Application of the nonlinear ARDL approach of Shin et al. (2014) reveals that indeed the effects of changes in the real effective exchange rate of the Australian dollar are asymmetric in the short run as well as in the long run. While in the short run both appreciations and depreciations affect Australian domestic production, only effects of appreciation last into the long run, a unique finding.     

Re-testing Prebisch–Singer hypothesis: new evidence using Fourier quantile unit root test

The Prebisch–Singer hypothesis in economics asserts that over time the relative price of primary goods relative to manufactured goods should experience a downward trend. To test the hypothesis, we must first establish the unit root properties of the relative price term and then regress the stationary series on a trend term. We use the quantile unit root test which allows for both smooth unknown numbers and the form of breaks in the trend function through a Fourier function to show that the relative price of 23 out of 24 primary goods is stationary. However, the Prebisch–Singer hypothesis is supported only in half of the primary commodities.     

Policy Uncertainty and the Demand for Money in Korea: An Asymmetry Analysis

Previous studies included money supply volatility as well as output volatility as measures of uncertainty in estimating the demand for money. However, a more comprehensive measure of uncertainty is now constructed for many countries and is known as policy uncertainty. When we included this new measure in the formulation of the demand for money in Korea and relied upon a nonlinear specification of the money demand which allows us to assess the asymmetric effects of changes in the policy uncertainty measure, we found asymmetric long-run effects of policy uncertainty on the demand for cash in Korea. Our conjecture is that increased uncertainty induces Koreans to hold less cash in favor of safer assets and decreased uncertainty has opposite effects, though at different rate.     

Shannon information in record data

In this article we present results on the Shannon information (SI) contained in upper (lower) record values and associated record times in a sequence of i.i.d continuous variables. We then establish an interesting relationship between the SI content of a random sample of fixed size, and the SI in the data consisting of sequential maxima. We also consider the information contained in the record data from an inverse sampling plan (ISP).     

Export growth and output growth: An application of bounds testing approach

The short-run and the long-run relationship between export growth and economic growth has received a great deal of attention in the literature. Cointegration techniques that have been employed by previous researchers require that the variables to be non-stationary but their linear combination to be stationary. When variables are not integrated of the same order, they are excluded from analysis. This needs not to be the case with the introduction of the bounds testing approach. Indeed, the approach does not require pre-unit-root testing. This paper applies this new method to export and output data from 44 developing countries and provides support for the export-led growth hypothesis in 60% of the countries.     

On the relationship between the value of the mark and German production

This study employs Johansen's cointegration technique to determine the long-run relationship between exchange value of the DM and German production. It is shown that depreciation of the DM has a long-run expansionary impact on German production. This conclusion is based on a new method of selecting the order of VAR and the appropriate cointegrating vector simultaneously.