scholarly journals Currency Substitution and Exchange Rate Volatility in Nigeria: An Autoregressive Distributed Lag Approach

Author(s):  
Isaiah O. Ajibola ◽  
Sylvanus U. Udoette ◽  
Rabia A. Muhammad ◽  
John O. Anigwe

This study investigates the relationship between exchange rate volatility and currency substitution in Nigeria, using Autoregressive Distributed Lag (ARDL) model. After accounting for the presence of structural breaks, evidence from the findings shows that domestic interest rate and expected changes in exchange rate are important determinants of currency substitution. In addition, there is empirical support for a positive relationship between exchange rate volatility and currency substitution both in the short- and long-run. This implies that higher real exchange rate volatility is associated with an increased level of currency substitution. In view of these findings, the paper calls for sustained efforts by the monetary authority in containing exchange rate volatility and inflation as a way of curbing the spate of currency substitution in the country.

2019 ◽  
Vol 13 (1) ◽  
pp. 119-141
Author(s):  
E. A. OLUBIYI ◽  
A. RAHEEM ◽  
A. A. ADEMOKOYA

This study provides additional information about the drivers of external reserves in Nigeria.  The result using Autoregressive Distributed Lag (ARDL) model estimation approach for the period 1980-2015 shows that remittances, among other macroeconomic variables, increased external reserves in the short run but weakens it in the long run. Remittances depletes external reserves through its effect on inflation rate and the nonsterilized intervention of the Central Bank.  Furthermore, regime shift to relatively floating exchange rate causes remittances to increase reserves.  From the foregoing, it is important for the authorities to continue operating relatively flexible exchange rate, and curtail excessive spending of remittances.   Keywords: , , , , . JEL Classification: F31, F24, C22, F31  


2019 ◽  
Vol 11 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Ashok Babubudjnauth ◽  
Boopendra Seetanah

Purpose The purpose of this paper is to find out the impact of real exchange rate on foreign direct investment (FDI) in Mauritius. Design/methodology/approach Autoregressive distributed lag time series methodology is used. Findings Real exchange rate depreciation enhances inflows of FDI in both the short and long run. Originality/value The research is original, and data used are from official sources.


2019 ◽  
Vol 12 (2) ◽  
pp. 87 ◽  
Author(s):  
Agus Salim ◽  
Kai Shi

Since the appearance of persistent research finding a disconnection between the exchange rate and its macroeconomic fundamentals, the empirical debate has not stopped. Studies employ various methods to explain the presence of the exchange rate disconnect puzzle, including applying models to the case of emerging market economies. However, the exchange rate has different determinants in some countries. To revisit this puzzle in an emerging market currency, we analyzed the cointegration of the exchange rate of the Indonesian Rupiah vis-á-vis currencies of primary trade partners and its macroeconomic fundamentals. The empirical results based on Autoregressive Distributed Lag (ARDL) and Nonlinear Autoregressive Distributed Lag (NARDL) models show that the fundamental variables consistently drive the exchange rate. The trade surplus as an extended nonlinear variable revealed high feedback to the exchange rate volatility in the long-run.


2021 ◽  
pp. 001946622110352
Author(s):  
Alisha Mahajan ◽  
Kakali Majumdar

Many countries are under constant fear that environmental policies might negatively influence the international competitiveness of polluting industries. In this study, we aim to evaluate the relationship and impact of the environmental tax on comparative advantage of trade in food and food products industry, considered to be one of the highly environmentally sensitive industries. This study also investigates, whether this relationship differs among countries covered in G20, with the help of correlation analysis. We select panel autoregressive distributed lag approach for this study as it can analyse long-run as well as short-run association even when the variables are stationary at different orders of integration. Using panel data from G20 countries over the period of 21 years that is from 1994 to 2015, it is concluded that when we allow environmental taxes to interact with the revealed comparative advantage (RCA) of G20 nations, the overall impact of the environmental tax on the RCA is negative in the long period. It is therefore suggested that countries should follow Porter hypothesis to stimulate innovations resulting from strict environmental regulations that affect the environment in least possible manner. JEL Codes: C01, C23, C33, F18, O57, Q5


2020 ◽  
Vol 10 (2) ◽  
pp. 53-70
Author(s):  
Abdulkader Aljandali ◽  
Christos Kallandranis

Despite rising interest in African economies, there is little prior research on the determinants of exchange rate movements in the region. This paper examines the monthly exchange rates of the country members of the Southern African Development Community (SADC) from 1990 to 2010 inclusive. Long-run equilibrium exchange rate models are established, exchange rate determinants are identified, and ex-post forecasts are generated for a period of 18 months (Sekantsi, 2011). The autoregressive distributed lag (ARDL) cointegration model is used in this paper, given its statistical advantages over commonly, applied cointegration techniques. Findings show that the ARDL method generates accurate forecasts for eight out of 11 sampled exchange rates. In keeping with earlier literature (e.g., Redda & Muzindusti, 2017; Zerihun & Breitenbach, 2017; etc.), findings suggest that the chances of SADC member countries fulfilling the requirements of a currency union are quite low. This paper marks one of the first attempts in the literature to forecast exchange rates in SADC using the ARDL approach (Pesaran & Shin, 1995). The results would be of interest to policy-makers, researchers and investors.


Author(s):  
Murat Mustafa Kutlutürk ◽  
Hakan Kasım Akmaz ◽  
Ahmet Çetin

In this study the relationship between higher education and economic growth was investigated using annual data between 1988 and 2012 for Turkey. To see short and long run effects of higher education on growth the Autoregressive Distributed Lag (ARDL) testing approach was used. In this investigation ratio of higher education graduates in employment was used as an explanatory variable. Zivot and Andrews test was implemented for the variables. The long and short run effects of higher education on growth was found significant. Granger causality test was implemented and one way Granger causality from higher education to growth was determined.


2017 ◽  
Vol 64 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Olcay Çolak ◽  
Serap Palaz

Abstract Occupational accidents are among the most important issues of the agenda of working life in Turkey recently. Recently the causes and consequences of occupational accidents which are related to human, occupational and environmental factors have received great attention from the researchers but it has been paid little attention to focused on economic factors. The purpose of this paper is to make a contribution to redressing this gap by examining the relationship between fatal occupational accidents and economic development over the period of 1980 to 2012 for Turkey. In this context, bounds testing approach which is also known as autoregressive distributed lag model is performed. The results indicate the existence of positive relationship between gross domestic product per capita and fatal occupational accidents in the short-run while in the long run this turns out to be in a negative way via economic growth and changes in structure of the economy.


2021 ◽  
Vol VI (II) ◽  
pp. 49-66
Author(s):  
Atiq Ur Rahman ◽  
Salyha Zulfiqar Ali Shah ◽  
Qamar uz Zaman

Unemployment is an alarming issue for bothdeveloped and developing countries, which sometimesvaries from region to region as well. Unemployment accompaniedwith Exchange Rate Volatility (ERV, hereafter) worsens thesituation. This paper tries to explore the relationship between ERVand unemployment and other selected factors in the case ofPakistan from 1980 to 2018. After necessary simulation, the studysupported the analyses through the autoregressive distributed lagmodel. Where, long-run coefficient reveals that ERV and exportsboth are positively affecting unemployment; whereas, import isinversely related to unemployment. Alternatively, export and GDPare inversely affecting unemployment in the short run; further,stability tests also support the relationship between the selectedvariables to achieve the long-run equilibrium. The study furthersuggests that the Government of Pakistan need to stabilizeexchange rate to control unemployment, which is 8 percent in thelong-run and 11 percent in the short run.


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