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

2010 ◽  
Vol 40 (11) ◽  
pp. 2069-2081 ◽  
Author(s):  
Sijia Zhang ◽  
Joseph Buongiorno

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.

Agro-Science ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 1-6
Author(s):  
A. Kabayiza ◽  
R. Muhire ◽  
S. Nsabimana ◽  
M. Kabarungi ◽  
Y.B. Ningabire ◽  
...  

The main strategy of Rwanda for having a steady growth in coffee export value and revenues was increased sales of speciality coffee. However, global coffee prices are often volatile and Rwanda has little control over the fluctuating global prices. This paper analysed the effect of exchange rate volatility on the price and exports of Rwanda coffee. In order to respond to this question, the monthly time series data on bilateral Rwanda coffee exports and real effective exchange rates from January 2001 to December 2016 were analysed. The cointegration methods and error correction model using the autoregressive distributed lag procedure andGlosten, Jagannathan, and Runkle-Generalized Autoregressive Conditional Heteroskedasticity (GJR-GARCH) model were used to analyse the data. The findings showed that the exchange rate volatility resulted in an increase in Rwandan coffee export price in the long run by 1.5% and a decrease in the short run by 0.2%. The findings also showed that the exchange rate volatility affected coffee export volumes in the long run and the short run by 44.4% and 3.8%, respectively. The real income in importing countries increased coffee prices in the long run by 3.0% and coffee export volumes in the long run and the short run by 26.9% and 38.5%, respectively. A review of monetary policy to address the issue of volatility and hedging system adoption in the Rwanda coffee sector should be done in order to stabilize the exchange rate and to consequently avoid its bad effects on coffee price and export volumes.


Author(s):  
Christine M. Haansende ◽  
Jacob M. Nyambe

The term exchange rate volatility is widely used in the financial market. The exchange rate is determined in the foreign exchange market, which is said to be the largest market in the world and it trades in financial assets. The main focus of this study is to analyse the nature of the relationship between exchange rate and trade balance in the selected member states of the SACU region in which the selected countries are Botswana, Namibia, Swaziland and South Africa. This study uses time series data from the period of 1986 to 2016. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, the impulse response functions and variance decompositions are used in the analysis. Results show that there is a short-run relationship between exchange rate volatility and trade balance. It was found that there is a positive and negative impact between these two variables, with high volatility. Furthermore, this study recommends all Central Banks in the SACU region to intervene in order to mitigate exchange rate volatility.


2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.


Author(s):  
Comfort Akinwolere Bukola ◽  

This study examined the impact of exchange rate volatility on economic growth in Nigeria. The study covers the period of 1986 to 2019. Using time series data, the methodology adopted is the Vector Error Correction Mechanism to explore the impact of exchange rate volatility on the selected macroeconomic variables. The result indicated that exchange rate volatility has a significant impact on economic growth, specifically it has a positive impact on inflation, unemployment and balance of trade. On the other hand it has a negative impact on economic growth and investment. The recommendations made include; that relevant authorities should try to avoid systematic currency devaluations in order to maintain exchange rate volatility at a rate that allows adjustment of the balance of payments.


2021 ◽  
Vol 2 (3) ◽  
pp. 17-23
Author(s):  
Muhammad Faisal Hassan ◽  
Hashim Bin Jusoh ◽  
Sajjad Khan ◽  
Fahad Ali Khan ◽  
Muhammad Naseem ◽  
...  

The researcher investigates the Impact of inflation, exchange rate and interest rate on Pakistan stock Exchange performance KSE-100 index by using monthly time series data which covers the period of 2013 to 2020. The econometrics techniques which are employed includes ADF test, Ordinary Least squares regression Model, testing for Multi-collinearity, Residual analysis serial correlation, testing for co-integration, Error correction model (ECM), variance decomposition (VAR) and Pair wise granger causality test. The results indicate that there is positive impact of exchange rate on PSX 100 index and the impact of inflation and interest rate is fond negative but inflation have insignificant relationship with PSX 100 index and the other two relationships are found significant. From the ECM result it is found that in short run 20% of the variation in dependent variable is due to inflation, exchange rate and interest rate and 80% variation is unexplained in short run. Form the results of VAR test it is concluded that exchange rate 1.67, inflation 14.25%, and interest rate 3.90% variation cause in PSX 100 index performance due to these three independent variables.


2015 ◽  
Vol 63 (2) ◽  
pp. 105-110 ◽  
Author(s):  
Khnd Md Mostafa Kamal

Currency exchange rate is an important aspect in modern economy which indicates the strength of domestic currency with respect to international currency. This study uses 42 years’ (1972 to 2013) time series data for Bangladesh in order to empirically determine whether the real exchange rate has significant impact on output growth for Bangladesh by using error correction model (ECM).The time series econometrics properties of the data series have been thoroughly investigated to apply ECM approach. The empirical evidence suggests mixed results; in the short run low exchange rate has positive significant effect while in the long run output growth is positively affected high exchange rate pass through.Dhaka Univ. J. Sci. 63(2):105-110, 2015 (July)


2015 ◽  
Vol 7 (11) ◽  
pp. 121 ◽  
Author(s):  
Sarfaraz Ahmed Shaikh ◽  
Ouyang Hongbing

This study examines the impact of exchange rate fluctuations on trade flows in case of China, Pakistan and India by using the time series data from 1980 to 2013. Most of the researchers have advocated that exchange rate volatility is negatively associated with general level of trade. In this study we have used the standard deviation of the moving average of the logarithm of the exchange rate as a proxy for volatility. And to investigate this relationship, we have applied the Autoregressive Distributive Lag (ARDL) approach for co-integration which estimates the short and long run relationship among the variables for the said period. The results of this empirical work have suggested that exchange rate volatility is negatively associated with Chinese exports in short run while positively associated in long run. However, in the case of Pakistan and India both in the short run and long run, the exchange rate volatility is negatively associated with total volume of trade.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrick Onodje ◽  
Temitope Ahmdalat Oke ◽  
Oluwatimilehin Aina ◽  
Nazeer Ahmed

Purpose The purpose of this paper is to examine the effect of crude oil prices on the Nigerian exchange rate with emphasis on discriminating between the effects of positive and negative changes in oil price on exchange rate. Design/methodology/approach The authors used monthly time series data from 1996:1 to 2019:6 and adopted two oil price measures, namely, Brent crude and West Texas Intermediary prices. For analysis, the authors used stepwise least squares to estimate a non-linear ARDL (NARDL) model and Wald tests to determine cointegration and the presence of asymmetric effects. Findings The findings showed that positive and negative Brent crude price changes significantly affect exchange rates differently in nominal terms, both in the long-run and short-run. However, the differences were purely in terms of effect size because the exchange rate decreased for both negative and positive oil price changes. Originality/value Whilst empirical research on asymmetries in the effect of oil price on exchange rate abounds, little evidence exists in Nigeria’s case. Although some studies previously tested for asymmetric oil price effects on the Nigerian currency, the approach used did not estimate long and short-run effects or test of long-run and short-run asymmetries. This paper fills this methodological gap using monthly using the NARDL approach. The NARDL approach provided the advantage of estimating effects for the long-run and short-run and testing for asymmetries in both time spans.


2016 ◽  
Vol 8 (2) ◽  
pp. 70 ◽  
Author(s):  
Huseyin Karamelikli

<p>This study empirically analyses bilateral trade of Turkey with her main trade partners using monthly time series data over the period of 2000 to 2015. J-curve theory and short-run dynamics of bilateral trade is tested by linear ARDL and Non-linear ARDL approaches. The empirical results indicate that there is no J-curve effect during short-run for United States and for France; it symmetrically exists to Germany and asymmetrically to United Kingdom. Also long-run relationship between exchange rate and trade balance has mixed results. Asymmetric long-run relationship between exchange rate and trade balance for United States exists where it is symmetrically most appropriate for Germany. In the other hand this study failed to verify any long-run relationship between exchange rate and trade balance for France and for United Kingdom.</p>


2015 ◽  
Vol 16 (2) ◽  
pp. 20-39
Author(s):  
Jahid Hasan ◽  
Dewan Muktadir-Al-Mukit ◽  
Farjana Islam

The paper investigates the effects of exchange rate volatility on export volume from Bangladesh to the US market by using monthly time series data over the period of 1991 to 2012. A wide range of econometric techniques have been employed to analyze the relationship between the study variables. The study reveals a stable and significant long run relationship between the variables. By employing Cointegration technique, it is observed that in the long run, a 1% increase in exchange rate that is depreciation of Taka against US dollar causes 2.32% increase in export volume. The estimated error correction coefficient indicates that 36%deviation of export data is corrected in the short run. Impulse response function of the study also affirms the positive relationship between the variables. Finally, Granger causality analysis suggests the existence of a unidirectional causality running from exchange rate to export.


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