The volatility of tourism demand and real effective exchange rates: a disaggregated analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Laron Delano Alleyne ◽  
Onoh-Obasi Okey ◽  
Winston Moore
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Exchange Rate Volatility ◽  
Real Effective Exchange Rate ◽  
Tourism Demand ◽  
Content Type ◽  
Effective Exchange ◽  
The Usa ◽  
Effective Exchange Rate ◽  
The Impact

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.

scholarly journals Cointegration Analysis of Exchange Rate Volatility and Agricultural Exports in Turkey: an Ardl Approch

2021 ◽  
Vol 9 (6) ◽  
pp. 1180-1185
Author(s):  
Turgut Orman ◽  
İlkay Dellal
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Cointegration Analysis ◽  
Real Effective Exchange Rate ◽  
Series Data ◽  
Producer Price ◽  
Agricultural Exports ◽  
Effective Exchange ◽  
Effective Exchange Rate ◽  
The Impact

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.

scholarly journals Remittances and The Real Effective Exchange Rate: Empirical Evidence from Kyrgyzstan

2017 ◽  
Author(s):  
Burulcha Sulaimanova ◽  
Daniyar Jasoolov
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Labor Migration ◽  
Large Scale ◽  
Real Effective Exchange Rate ◽  
Labor Migrants ◽  
The World ◽  
Effective Exchange ◽  
Effective Exchange Rate ◽  
The Impact

Since 2000 the volume of economic reasoned migration has been rapidly rising in Kyrgyzstan. The number of labor migrants currently working abroad counts around 600 thousand people or about 10% of the population of Kyrgyzstan. With growing pattern of labor migration, the amount of remittances has grown as well. According to the World Bank, Kyrgyzstan is on the first place in the world in terms of share of remittances in the GDP (34%) in 2016. The main remittance sending countries for 2005-2016 periods are the Russian federation and Kazakhstan. The large scale of migration outflow and remittances, making domestic economy of Kyrgyzstan dependent on external shocks, related with migration. For this reason, the purpose of this study is to examine the impact the high level of remittances inflow from labor migration on the exchange rates, particularly on the reel effective exchange rate of Kyrgyzstan for the period of 2005-2016. The empirical analysis was carried out with Cointegration model, and according to the results obtained, the remittances and real effective exchange rates have long run relationship.

Impact of exchange rate movement and macro-economic factors on exports of software and services from India

2016 ◽  
Vol 23 (5) ◽  
pp. 1193-1206 ◽  
Author(s):  
Parijat Upadhyay ◽  
Saikat Ghosh Roy
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Real Effective Exchange Rate ◽  
Domestic Product ◽  
Content Type ◽  
Indian Rupee ◽  
Effective Exchange ◽  
Effective Exchange Rate ◽  
The Impact ◽  
Software Services

Purpose – The information technology (IT) sector in India is the leading exporter from the service sector domain and also is a significant contributor to the overall export kitty of India. The IT sector’s contribution in total Indian exports (merchandise plus services) increased from less than 4 percent in FY1998-1999 to about 25 percent in FY2011-2012 as per IT industry nodal body National Association of Software and Services Companies and the central bank of the country, the Reserve Bank of India (RBI). As this industry earns most of its revenue in foreign currencies it is exposed to the foreign exchange risks. The purpose of this paper is to validate the macro-economic theory that depreciation in domestic currency boosts export as it makes domestic good and services cheaper and appreciation in domestic currency deters export as it makes domestic good and services costlier. The authors are validating this theory for Indian rupee and keeping software services export in the focus. Design/methodology/approach – In this study the authors have done the multiple regression analysis on the obtained time-series data. The research was totally based on the secondary data from Quarter1 (April-June) of FY 2000-2001 to Quarter4 (January-March) of FY 2011-2012. It comprises of data for 48 consecutive quarters. The authors have taken the growth rate, so the final data set consist of data of 47 quarters. The main source of data are published data by RBI. Data have been collected for export of software services, merchandise export, real effective exchange rate, US-dollar-Indian rupee exchange rate, gross domestic product of India and selected countries. Findings – Data analysis leads the authors to the following findings: real effective exchange rate has no significant impact on software services export; US-dollar-Indian rupee exchange rate has no significant impact on software services export; external gross domestic product growth has no significant impact on software services export; and gross domestic product growth of India has no significant impact on software services export. The results obtained from multiple regression analysis are also supported by the results obtained from Granger Causality test. It does not identify any single factor as a major cause of software export. Results shows that the external GDP is having the statistically significant impact on the software export but the low value of R2 denotes that the impact is very low. Originality/value – There are no published studies available which has attempted similar kind of an approach to study using aggregated export data and other macro-economic variables like real effective exchange rate (REER) and GDP growth rate. All previous literatures used REER to measure the impact of the exchange rate on export.

External shocks and output composition: evidence from Nigeria

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Titus Ayobami Ojeyinka ◽  
Dauda Olalekan Yinusa
Keyword(s):  
Exchange Rate ◽  
Open Economy ◽  
Real Effective Exchange Rate ◽  
External Shocks ◽  
Content Type ◽  
Trading Partners ◽  
Effective Exchange ◽  
Exchange Rate Shocks ◽  
Effective Exchange Rate ◽  
The Impact

PurposeThe study investigates the impact of external shocks on output composition (consumption and investment) in Nigeria for the period 1981:Q1– 2018:Q4. Trade-weighted variables from the country's five major trading partners are constructed to capture the impact.Design/methodology/approachThe study employs a block exogeneity open economy structural vector autoregressive (SVAR) analysis in studying the stated relationship.FindingsThe study reveals that external shocks significantly affect consumption and investment in Nigeria. Results from the structural impulse response function suggest that foreign output, real effective exchange rate and foreign interest rate have significant negative effects on consumption and investment. Specifically, results from error variance decomposition show that foreign inflation and real effective exchange rate shocks are major drivers of fluctuations in consumption and investment in Nigeria. Interestingly, the study finds that oil price shock accounts for minor variations in consumption and investment in Nigeria.Research limitations/implicationsThe findings suggest that consumption and investment in Nigeria are substantially and largely driven by external shocks.Practical implicationsThere is need for the monetary authority and the Nigerian government to design appropriate policies to stabilise the naira and salvage the country's exchange rate from unexpected large swings so as to reduce the vulnerability of the economy to external shocks.Originality/valuePrevious studies on external shocks have concentrated on the impact of external shocks on aggregate variables such as output and inflation, while few studies on external shocks in Nigeria capture external shocks through single-country data. This study differs from previous similar studies in Nigeria in two ways. First, the study examines the impact of external shocks on output composition such as consumption and investment. Second, the study captures the impact of external shocks on the two components of gross domestic product (GDP) by constructing trade-weighted variables from Nigeria's five major trading partners.

Diagnosing the curse of natural resources in Kuwait

2018 ◽  
Vol 34 (2) ◽  
pp. 153-171
Author(s):  
Nayef Al-Shammari ◽  
Noura Al-Hossayan ◽  
Mariam Behbehani
Keyword(s):  
Exchange Rate ◽  
Natural Resource ◽  
Inflation Rate ◽  
Resource Curse ◽  
Dutch Disease ◽  
Real Effective Exchange Rate ◽  
Content Type ◽  
Effective Exchange ◽  
Effective Exchange Rate ◽  
The Impact

Purpose The purpose of this paper is to empirically examine the phenomenon of natural resource curse in an oil abundant economy of Kuwait. The study estimates a behavioral equilibrium exchange rate model for Kuwait during the period 1980-2014 to assess the impact of prices and productivity factors on real effective exchange rate. Design/methodology/approach It uses time series econometric techniques, such as unit root tests, Johansen cointegration test, Vector Error Correction Model, and Impulse Response Function, to estimate the model. Findings Unlike the results of the few other studies, the empirical results show a significant impact of the variables, such as balance of trade, economic growth, oil exports, interest rate, and inflation rate, on real effective exchange rate appreciation which indicates the existence of Dutch disease within the Kuwaiti economy. Similarly, the comparative analysis between changes in public expenditure and inflation rate shows the existence of Dutch disease in Kuwait during specific periods of time. Originality/value Natural resource curse or Dutch disease is a widely recognized phenomenon affecting the balance of economic activities in natural resource abundant countries. Symptoms of Dutch disease are perceived in several changes in the economy, particularly on price level, sectorial productivity, employment, and aggregate demand which in the long run worsen the country’s economic position and lower its international competitiveness. Dutch disease is not only a feature of natural resource abundant economies, but also can affect any economy with excessive revenue generating sector or high capital inflows which appreciates country’s exchange rate. However, the examination of Dutch disease in the economy is more important when investigating the impact on oil-producing countries (Apergis et al. 2014; Mohammadi and Jahan-Parvar, 2012; Jahan-Parvar and Mohammadi, 2011). Therefore, scholars studying Dutch disease phenomenon pay greater attention to cases of Dutch disease among oil-producing countries (i.e. Arezki and Ismail, 2013; Van der Ploeg and Venables, 2013; Jahan-Parvar, 2012; Cologni and Manera, 2013).

Sign in / Sign up

Export Citation Format

Share Document