External Sector and The Nigerian Manufacturing Sector Performance, 1981-2019

No country is an island. The globalization phenomenon is making all countries to be interdependent. The external sector environment has become critical for the success of every country and internal balance. Thus, it has become important to examine how much the externa sector environment impact on the performance of the domestic economy. The present study, therefore, examined the influence of Nigerian external sector environment on the performance of the Nigerian manufacturing sector between 1981 and 2019. The study adopted exp-post research design approach and the Autoregressive Distributed Lag (ARDL) model estimation techniques. The empirical model consists of the Nigerian manufacturing sector output index as the dependent variable and exchange rate, trade openness, and foreign direct investment as independent variables and external sector environment variables. Test of unit root results indicated that the variables have mix order of integration, while the co integration analysis results indicated that the variables in the model have stable long run relationship. Estimate of the ARDL model reveals that in the short run exchange rate variations have negative, but significant effect on manufacturing sector performance, while trade openness, and FDI have positive but insignificant influence on the manufacturing sector performance in the short run. In the long run, exchange rate level and FDI inflows have positive and significant effect on the manufacturing sector performance, while trade openness has negative and significant effect on the Nigerian manufacturing sector performance. The study therefore conclude that the Nigerian external sector Environment has significant influence on the performance of the Nigerian manufacturing sector.

Does the Exchange Rate and Its Volatility Matter for International Trade in Ethiopia?

This study was carried out to investigate the impact of the Ethiopian exchange rate and its volatility on international trade. Trade openness was used as a proxy for international trade in the study. The study’s general objective was to investigate how international trade responds to exchange rate levels and volatility. The study relied solely on secondary time-series data spanning the years 1992 to 2019. The Autoregressive Distributive Lag (ARDL) model was used in the study to investigate the long-term relationship between exchange rate level, volatility, and international trade performance. An error correction model was used to estimate the variables in the short term. To conduct the regression analysis, Foreign Direct Investment (FDI), Gross Domestic Product (GDP), and inflation were used as control variables. The finding of the study implies that: in the short term, the exchange rate level was found to negatively and significantly influence international trade. However, exchange rate volatility positively and significantly affects international trade both in the short and in the long term. In addition, gross domestic product, foreign direct investment, and inflation have a positive effect on international trade both in the short term and long term. This finding lends support to the J-curve effects, which suggest an initial loss in the short term followed by a dramatic gain in the long term. However, the findings of this study suggest that there is no significant gain from international trade to justify currency depreciation in Ethiopia.

An Investigation into the Sources of Depreciations in Mongolian Tugrik Exchange Rate: A Structural VAR Approach

This paper empirically investigates the sources of fluctuations in real and nominal Mongolian Tugrik (MNT) exchange rates by estimating the structural vector autoregressive (SVAR) model over the period January 1994–May 2021 and decomposing the exchange rate series into stochastic components induced by real and nominal shocks under the assumption of the long-run neutrality of nominal shocks on the real exchange rate level. The empirical results show that the real MNT exchange rate movements are primarily due to the real shocks, while the nominal shocks have a major role in explaining nominal exchange rate movements in the short and long run. The nominal exchange rate shows a delayed over-shooting occurring between one and three years after a nominal shock hits the economy. The long-run effect of a monthly one standard deviation nominal shock on nominal MNT exchange rate is 2.5%, which results in a permanent divergence between real and nominal MNT exchange rate and causes non-cointegrated relation between real and nominal MNT exchange rates. The historical decomposition of forecast error indicates that the nominal shock plays a significant role in explaining the depreciation in nominal MNT exchange rate over the last three decades. Our recommendation is to stop “cash handling” policy, minimize monetary shock, and coordinate fiscal and monetary policies to avoid large nominal depreciation.

The Effects of Exchange Rate on Export Performance in Tanzania

The chapter analyzes the effects of exchange rate of Tanzanian shilling on the country's exports performance applying Vector Auto-Regressive (VAR) model covering the sample period from 1993:Q1 to 2016:Q4. Cointegration and causality tests are performed to investigate the short- and long-term relationships between the variables to evaluate the financial competition. The results show that; there is no long-term relationship (cointegration) between exchange rates and exports and between foreign demand and exports. Moreover, the results of causality test show no short-term relationship (causality) between exchange rates and exports and between foreign demand and exports. As the findings suggest, the exchange rate level of Tanzanian shilling (in nominal terms) does not statistic-significantly affect the country's exports performance.

A Comparative Analysis of Adjustment of Nigerian Selected Macro Economic Variables to Deregulated Exchange Rate System

This study is a comparative analysis of how Nigerian macro economic variables of Balance of Payment and Real Sector performance (surrogated by Real Gross Domestic Product) reacted to exchange rate deregulation in Nigeria. One of the reasons why countries deregulate their exchange rate is to avail themselves the benefits of international trade, and the international trade transaction of every nation is depicted in its balance of payment position. In order to ascertain the significance of Naira deregulated exchange rate on the selected variables, a pre and post deregulation analyses were carried out using Paired Sample T Test staring from 1960 to 1985 as pre deregulation period and 1986 to 2011 as post deregulation period. The result revealed that both Balance of Payment and Real Sector Performance reacted significantly to exchange rate deregulation. While the influence of deregulation of exchange rate on Balance of Payment was negative, it showed a positive influence on Real Sector performance. The researchers concluded that deregulation of exchange rate did not increase the Nigerian general export, but oil export only, which is also an indication that Nigerian domestic industries did not contribute significantly to the country’s export level. We recommend that the monetary authority can consider placing a crawling peg on Naira exchange rate level in order to regulate the level of currency depreciation; this will reduce the cost of production for the domestic industries as most of their raw materials are imported. Again the export ability of the Nigerian domestic industries can be enhanced by granting them export incentives such as free international packaging and external credit guarantee.

Exporters’ Exposures to Currencies: Beyond the Loglinear Model*

We extend the constant-elasticity regression that is the default choice when equities’ exposure to currencies is estimated. In a proper real-option-style model for the exporters’ equity exposure to the foreign exchange rate, we argue, the convexity of the relationship implies that the elasticity should depend on the exchange rate level. For instance, it should shrink to zero when the option to export becomes worthless, and that should happen at a critical exchange rate that is still strictly positive. We propose a class of tractable multi-regime regression models featuring, in line with the real-options logic, smooth transitions and within-regime dynamics in the foreign exchange exposure. We then analyze the exchange rate exposure of Chinese exporting firms and find that the model in which the moneyness of the export option has a positive impact on the exchange rate exposure detects a significantly positive and convex exposure for 40% and 65% of the firms depending on whether the market return is included in the regression or not.

A Novel Series Inflation Prediction Model Based on the Grey Fuzzy Theory

Along with the economy development and the living standards enhancement unceasingly, the inflation also accompanies naturally lives. Generally speaking the temperate inflation has not the enormous influence to people's life and the national economy, but the serious inflation's occurrence can affect a country exchange rate level, disrupt the import and export order and financial order, simultaneously, will affect the people revenues and the living standard, will cause the national competitive power to drop. In view of this problem, it is necessary to construct the model to forecast the year in the future that will occur the serious inflation. This paper construct the predict model base on the grey fuzzy theory, the experimental simulation is shown that the results is accuracy and reliable.

Effects of exchange rate volatility on export volume and prices of forest products

The relative value of currencies varies considerably over time. These fluctuations bring uncertainty to international traders. As a result, the volatility in exchange rate movements may influence the volume and the price of traded commodities. The volatility of exchange rates was measured by the variance of residuals in a GARCH(1,1) model of the exchange rate. We estimated the effect of this exchange rate volatility on export quantity and price with autoregressive distributed lag models based on monthly data of US exports and prices to 14 countries for eight commodity groups. The most general and statistically significant results were obtained by pooling the time series data across destination countries and products. They suggested that an increase in exchange rate variability of 1% led to a short-run decrease in export quantity of 0.3%–0.4% and to a short-run decrease in export price of 0.1%. Both the quantity and the price effect faded away over time. The effects were less systematic and statistically significant for specific export destinations or individual products. Thus, in contrast with exchange rate level, exchange rate volatility may not be a major policy issue for US forest product exports.

A New Approach for Determining Exchange-Rate Level Preferences

In research on the political economy of exchange rates, a good understanding of who will endorse and who will oppose certain exchange-rate policies is central to understanding how actual exchange-rate policies are made and how the global exchange-rate system changes over time. Since existing classifications of exchange-rate level preferences have several shortcomings, this article proposes a new and more nuanced strategy for identifying preferences on exchange-rate valuation. This approach takes into account the complex interrelationship between exchange-rate and monetary policy, and the effects of these policies on balance sheets. In addition, the approach accounts for the dynamics of preference formation and change. Comparative case studies of currency crises in Hong Kong, South Korea, Thailand, and Taiwan show that considering actors' vulnerabilities to exchange-rate and interest-rate changes enhances understanding of their exchange-rate level preferences. The case studies also indicate that societal preferences affect policy outcomes. Exchange-rate stability was maintained in countries where private actors' vulnerabilities to depreciation were high. However, when pressure intensified, exchange rates were subsequently depreciated in countries where vulnerabilities to a monetary tightening exceeded the potential costs of depreciation.

The Effectiveness of Fed Intervention on the USD/DM Foreign Exchange Market

This study empirically examines the effectiveness of Fed intervention on the USD/DM exchange market using an event study approach. The event window is defined as 4 (8) days prior/post an intervention. Based on the empirical analysis, the results show that when the Fed follows an "against the wind" policy, exchange rate movements are smoothed and may switch direction. The results are robust and hold for different event window definitions and sample ranges. To test whether the results are due to the exchange rate movement itself, we conduct a simple test using customer trades by the Fed. The results do not exhibit a systematic pattern. We also find that a joint intervention has a stronger impact on the exchange rate level when the Fed buys US dollars. The policy implication of our findings is that intervention in foreign exchange markets on the part of the Fed to impact the value of the US dollar is a viable policy option.