External shocks and output composition: evidence from Nigeria

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Titus Ayobami Ojeyinka ◽  
Dauda Olalekan Yinusa

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.

2016 ◽  
Vol 23 (5) ◽  
pp. 1193-1206 ◽  
Author(s):  
Parijat Upadhyay ◽  
Saikat Ghosh Roy

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.


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.


2018 ◽  
Vol 34 (2) ◽  
pp. 153-171
Author(s):  
Nayef Al-Shammari ◽  
Noura Al-Hossayan ◽  
Mariam Behbehani

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).


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.


2018 ◽  
Vol 244 ◽  
pp. R30-R38 ◽  
Author(s):  
Sophie Haincourt

Exchange rate fluctuations have been particularly large since mid-2014, displaying divergent developments across the period. The nominal effective exchange rate of the dollar has appreciated by 15 per cent since June 2014, masking a 25 per cent appreciation to December 2016 followed by a depreciation of 8 per cent. Changes in the euro have turned positive after being negative. This article attempts to measure the impact of currency changes on domestic activity, accounting for the source of fluctuations. More specifically, by using the multi-country structural model NiGEM, we show that different types of exchange rate shocks can have different macroeconomic outcomes. Focusing on the period from January 2017 to February 2018, we show that the depreciation of the dollar, stemming mostly from changes in sentiment in foreign exchange markets, would in fact have been detrimental to US growth. A weaker currency, in this particular case, turned out to be no recipe for stronger growth. Similarly, the appreciation of the euro, triggered by a fall in the risk premium of the currency, may have been positive for growth. There are caveats to the exercise, but the results are nonetheless consistent with previous research pointing to the importance of the nature of the exchange rate shocks in estimating their impact on prices and growth.


2019 ◽  
Vol 26 (2) ◽  
pp. 220-237
Author(s):  
Van Anh Pham

Purpose The purpose of this paper is to evaluate and analyze impacts of the monetary policy (MP) – money aggregate and interest rate – on the exchange rate in Vietnam. Design/methodology/approach The study uses data over the period of 2008–2018 and applies the vector autoregression model, namely recursive restriction and sign restriction approaches. Findings The main empirical findings are as follows: a contraction of the money aggregate significantly leads to the real effective exchange rate (REER) depreciating and then appreciating; a tightening of the interest rate immediately causes the REER appreciating and then depreciating; and both the money aggregate and the interest rate strongly determine fluctuations of the REER. Originality/value The quantitative results imply that the MP affects the REER considerably.


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