scholarly journals Export Function of Cocoa Production, Exchange Rate Volatility and Prices in Nigeria

2019 ◽  
Vol 11 (2(J)) ◽  
pp. 1-14 ◽  
Author(s):  
Alaba David Alori ◽  
Adebayo Augustine Kutu

This study examined the export function of cocoa production and determined the impact of exchange rates and price volatility on the exportation of cocoa in Nigeria. The Phillips-Perron (PP) and Augmented Dickey-Fuller (ADF) unit root tests, Ordinary Least Square (OLS) and Structural Vector Autoregressive (SVAR) methodologies were employed to analyse the time series data that spanning from 1970:01 to 2016:12. The PP and ADF unit root tests findings indicated that none of the variables was stationary at levels (I (0)) however, after the first difference I (1) they became stationary. At 5%, the OLS results showed that all the variables were statistically significant in analysing the effects of exchange rates and price volatility on the value of cocoa production in Nigeria. The price of cocoa in the international market and the value of exchange rates play a significant role in cocoa exports growth in Nigeria. Further, findings from the SVAR showed that an increase in the price of cocoa would increase cocoa production and cocoa export growth in Nigeria, while the exchange rate volatility would affect cocoa export growth in Nigeria. The result further revealed that the shocks to exchange rate accounted for the greater volatility (positively significant for the entire period) to the value of cocoa exported, as against other variables in the model. Based on those findings, the paper, therefore, recommends that there should be a free exchange rate market determination, in order to enhance the export growth and increase cocoa output in Nigeria.

Author(s):  
Turgut Orman ◽  
İlkay Dellal

This study aims to reveal the impact of exchange rate volatility on agricultural exports of Turkey by using the Autoregressive Distributed Lag Model. While quarterly time series data covering period of 2001: Q1 to 2018: Q4 were used to carry out analyses, Exponential Generalized Autoregressive Conditional Heteroscedasticity (1.1) is used to acquire exchange rate volatility series. The research findings showed that agricultural export is cointegrated with exchange rate volatility, producer price index and real effective exchange rate. Furthermore, our findings indicate that increases in real effective exchange rate have a statistically significant positive influence on the export volume whereas exchange rate volatility has negative impact on it.


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.


2016 ◽  
Vol 33 (1) ◽  
pp. 50-68 ◽  
Author(s):  
Guangfeng Zhang ◽  
Ian Marsh ◽  
Ronald MacDonald

Purpose – This study aims to investigate the impact of information, both public macro news and private information, on exchange rate volatility in an integrated framework. Design/methodology/approach – The authors apply real-time data of macro announcements and high-frequency trading data (German Deutsche Mark to US dollar, DEM/USD, from 1 May to 31August 1996) to GARCH models and examine various model specifications. Findings – Data analysis demonstrates real-time macro news and market makers’ private information both have a significant impact on exchange rate volatility, but there is no interaction between macro and micro information in the information transmission process. Originality/value – This study contributes to empirical hybrid studies of examining exchange rates volatility, which is in line with literature that combine both macro and micro fundamentals in examining exchange rates variation. Particularly, a key element of this study is to use a microstructure fundamental variable, namely, order flow, to capture private information in an exchange rate volatility study.


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.


2013 ◽  
Vol 12 (3) ◽  
pp. 577-605 ◽  
Author(s):  
MARC AUBOIN ◽  
MICHELE RUTA

AbstractThis paper surveys a wide body of economic literature on the relationship between exchange rates and trade. Specifically, two main issues are investigated: the impact of exchange rate volatility and of currency misalignments on international trade flows. On average, exchange rate volatility has a negative (even if not large) impact on trade. The extent of this effect depends on a number of factors, including the existence of hedging instruments, the structure of production (e.g. the prevalence of small firms), and the degree of economic integration across countries. The second issue involves exchange rate misalignments, which are predicted to have short-run effects in models with price rigidities. However, the exact impact depends on a number of features, such as the pricing strategy of firms engaging in international trade and the importance of global production networks. Trade effects of currency misalignments are predicted to disappear in the long-run, unless an economy is characterized by other relevant distortions. Empirical results broadly confirm these theoretical predictions.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Laron Delano Alleyne ◽  
Onoh-Obasi Okey ◽  
Winston Moore

Purpose One of the main factors that can impact the cost of holidays to a particular destination is the exchange rate; exchange rate fluctuations impact the overall price of the holiday and should be expected to effect tourism demand. This paper aims to scrutinize the volatility of the real effective exchange rate between the source market relative to the holiday destination and tourism demand volatility, where the influence of disaggregated data is noted. Design/methodology/approach The study uses multivariate conditional volatility regressions to simulate the time-varying conditional variances of international visitor demand and exchange rates for the relatively mature Caribbean tourist destination of Barbados. Data on the country’s main source markets, the UK, the USA and Canada is used, where the decision to disaggregate the analysis by market allows the authors to contribute to policymaking, particularly the future of tourism marketing. Findings The volatility models used in the paper suggests that shocks to total arrivals, as well as the USA and UK markets tend to die out relatively quickly. Asymmetric effects were observed for total arrivals, mainly due to the combination of the different source markets and potential evidence of Butler’s (1980) concept of a tourist area’s cycle of growth. The results also highlight the significance of using disaggregated tourism demand models to simulate volatility, as aggregated models do not adequately capture source market specific shocks, due to the potential model misspecification. Exchange rate volatility is postulated to have resulted in the greater utilization of packaged tours in some markets, while the effects of the market’s online presence moderates the impact of exchange rate volatility on tourist arrivals. Markets should also explore the potential of attracting higher numbers of older tourist, as this group may have higher disposable incomes, thereby mitigating the influence of exchange rate volatility. Research limitations/implications Some of the explanatory variables were not available on a high enough frequency and proxies had to be used. However, the approach used was consistent with other papers in the literature. Practical implications The results from the paper suggest that the effects of exchange rate volatility in key source markets were offset by non-price factors in some markets and the existence of the exchange rate peg in others. In particular, the online presence of the destination was one of those non-price factors highlighted as being important. Originality/value In most theoretical models of tourism demand, disaggregation is not normally considered a significant aspect of the model. This paper contributes to the literature by investigating the impact real effective exchange rate volatility has on tourism demand at a disaggregated source country level. The approach highlights the importance of modeling tourism demand at a disaggregated level and provides important perspective from a mature small island destination.


2020 ◽  
Vol V (I) ◽  
pp. 198-208
Author(s):  
Rana Shahid Imdad Akash ◽  
Kashif Hamid ◽  
Iqbal Iqbal Mahmood

This study is aimed to examine the impact of US News and exchange rate exposure on emerging economies of Pakistan, China, Turkey and Iran. Daily exchange rates have been used for the period Jan 1, 2003 to Dec 31, 2018 to identify the volatility in exchange rate exposure due to news effect. US News is modeled with variance equation respectively for each country exchange rate. GARCH (1,1) by Bollerslev (1986), and EGARCH (1,1) by Nelson (1991) models have been used to estimate the volatility of exchange rate dynamics. Results indicate that impact of US News is significantly positive on the exchange rate of Pakistan and China and the results of US news impact on Turkey and Iran are insignificant. Present study is helpful for investors, financial analysts and economic decision makers for understanding the changing dynamics of exchange rate volatility.


2018 ◽  
Vol 1 (2) ◽  
pp. 82-89
Author(s):  
Adrine Gladia Meidrieswida

This study aims to analyze the development of cocoa commodity exports in Indonesia. This study uses time series data from 2002 to 2016 and processed using SPSS. The independent variables in this study are the Total Cocoa Production, World Cocoa Prices, Exchange Rates, and Cocoa Export Prices with the dependent variable namely Indonesian Cocoa Exports. Simultaneous test results show that Cocoa Production Amount, World Cocoa Prices, Exchange Rates, and Cocoa Export Prices simultaneously have a significant effect on Cocoa Exports in Indonesia. While the partial test results indicate that the variable Cocoa Production Amount, World Cocoa Prices, Exchange Rates, and Cocoa Export Prices are partially not significantly influence the Cocoa Export in Indonesia


2019 ◽  
Vol 6 (3) ◽  
pp. 87
Author(s):  
Azzouzi Asmae ◽  
Bousselhami Ahmed

This paper aims to examine empirically the impact of price and real exchange rate volatility on Foreign Direct Investment (FDI) inflows. The sample used is based on the Mediterranean countries of Morocco and Turkey for the period 1990-2017. Empirical findings for Morocco revealing that in both short and long-terms, real exchange rate volatility is negative and highly significant. Price volatility depicts a positive effect, which means that greater volatility of inflation may cause greater marginal profitability of capital and hence increase investment. On the other hand, for Turkey, FDI inflows are found more elastic to domestic price fluctuations. The exchange rate volatility, instead, turned out to have a positive but insignificant effect. In addition, we found that the potential market size rate, institution quality, and infrastructure appear to be the key factors in attracting foreign capital in both countries. As for trade openness, a positive effect on FDI flows is only perceptible in Morocco. In addition, the series of structural reforms carried out by Turkish government have generated real benefits for foreign investors by creating the adequate environment. This has allowed Turkey to overcome the problems it was facing in attracting foreign investment during the period analysed.


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