Investigating the Impact of Exchange Rate Volatility, Inflation and Economic Output on International Trade of India

2020 ◽  
Vol 68 (2) ◽  
pp. 207-226
Author(s):  
Aastha Arora ◽  
Sarika Rakhyani

Four models have been constructed separately for exports of goods, imports of goods, exports of services and imports of services to explore the impact of exchange rate volatility, inflation and economic output on India’s foreign trade. AutoRegressive Distributed Lag (ARDL) bounds test run on monthly data over the period of 2011–2020 reports that in the long run, growth in production positively impacts the trade in goods and services. Rise in level of prices negatively impacts the exports of goods. In the short run, a rise in volatility brings a decline in the imports of goods but in the long run, it has a positive impact on the exports of goods. Volatile exchange rate has no impact on trade in services. An increase in inflation in the short run leads to a rise in the imports of goods but brings a decline in the trade of services.

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Lorna Katusiime

This paper examines the effects of macroeconomic policy and regulatory environment on mobile money usage. Specifically, we develop an autoregressive distributed lag model to investigate the effect of key macroeconomic variables and mobile money tax on mobile money usage in Uganda. Using monthly data spanning the period March 2009 to September 2020, we find that in the short run, mobile money usage is positively affected by inflation while financial innovation, exchange rate, interest rates and mobile money tax negatively affect mobile money usage in Uganda. In the long run, mobile money usage is positively affected by economic activity, inflation and the COVID-19 pandemic crisis while mobile money customer balances, interest rate, exchange rate, financial innovation and mobile money tax negatively affect mobile money usage.


2020 ◽  
Vol 7 (3) ◽  
pp. 145
Author(s):  
Nicas Yabu ◽  
Deogratius Kimolo

The study examines the extent of exchange rate volatility and its impact on key macroeconomic variables such as exports, FDI inflows, interest rate and inflation in Tanzania, Kenya and Uganda. The GARCH model is used to compute the extent of exchange rate volatility while the Panel Autoregressive Distributed Lag (ARDL) technique or pooled mean group (PMG) estimator was used to estimate the effects of exchange rate volatility on selected macroeconomic variables. The results indicate that volatility in the exchange rate is a real issue in all the sampled countries and is fundamentally driven by exports and FDI dynamics for the period under consideration. The results indicate a positive impact of the exchange rate volatility to export performance and lending rates in the long run. Exchange rate volatility appears to be detrimental to both export performance and leads to a reduction in lending rates in the short run. Also, the response of FDI to exchange rate volatility seems to be negative in the long run while in the short run the response from the volatility of real exchange rate seems is insignificant. Though not significant, the volatility of the exchange rate appears to have a positive impact on inflation. The study recommends that policymakers need institute mitigation measures which could smooth out excessive exchange rate volatility to minimize its likely impact on the economy. The study also indicated a need for the EAC countries to consider adopting inflation targeting monetary policy framework in order to contain inflation at the appropriate level.


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.


2019 ◽  
Vol 59 (7) ◽  
pp. 1282-1297 ◽  
Author(s):  
Chandan Sharma ◽  
Debdatta Pal

This study explores the asymmetric effect of exchange rate volatility on tourism demand in India from January 2006 to April 2018. Tourism demand is captured from a twin perspective—quantity and value. While quantity is represented by foreign tourist arrival in India, earnings from foreign tourists are used to represent value. The study is unique from a methodological point of view as it makes the first ever application of the nonlinear autoregressive distributed lag model of Shin, Yu, and Greenwood-Nimmo (2014), in the tourism demand literature to capture nonlinearity simultaneously in the short- as well as long-run. Results of our analysis show that tourism demand in India responds asymmetrically to both nominal and real exchange rate volatility. Also, the long-run effects of exchange rate uncertainty are shown to be more damaging than the short-run effects. Our findings are fairly robust to alternative specifications.


2019 ◽  
Vol 20 (1) ◽  
pp. 94-105
Author(s):  
Ugyen Tenzin

In order to understand the dynamics of unemployment in Bhutan at a macro-level, this study has explored the association among economic growth, inflation and unemployment from 1998 to 2016. The autoregressive distributed lag (ARDL) model was applied to estimate the impact of economic growth and inflation on unemployment. The results of this empirical analysis suggest that economic growth had no impact on the reduction of unemployment rate in Bhutan both in the short and in the long run. In fact, as the economic growth increased, so did the unemployment rate. However, inflation had a negative association with unemployment rate in the short run and a positive association in the long run. In other words, an increase in the employment rate led to an increase in the inflation in the short run. Likewise, if inflation is not monitored or controlled, the uncertainty of inflation can lead to lower investment and lower economic growth, thereby causing unemployment to rise in the long run. This study, therefore, recommends policymakers to take into account the employment elasticity with respect to economic output and focus on sectors, which have more absorptive capacity in engaging the young labour market entrants. JEL: B22, C22, E24, E31


Author(s):  
Mohini Gupta ◽  
Sakshi Varshney

The centre interest of the study is to explore the impact of exchange rate volatility on the India-U.S. trade flow of Import on 6 industries spanned from September 2002 to June 2019. We investigate the relationship at disaggregate level by industry-wise data with monthly frequency. We employ exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model to gauge volatility and thereafter ARDL bound testing approach to unveil the short and long-run association of real exchange rate volatility and import. The empirical analysis implies the existence of both short-run and long-run effect in 5 importing industries except manufactured (engineering) goods. While real exchange volatility appears to have statistically significant effect in short-run, but also estimated short-run lasts onto long-run effect in only three industries. The results confirm the information of import in time-series analysis. The finding of the study helps to undertake the view of invariability and considering the industry before policy making.


2017 ◽  
Vol 7 (2017) ◽  
pp. 80-103
Author(s):  
Camara Kwasi Obeng

The government of Ghana has implemented a number of policies to strengthen the production and export of non-traditional products as a way of diversifying exports in Ghana with very little success. Foremost among these policies is the liberalization of exchange rate. Meanwhile, the exchange rate has been very volatile. The study, therefore, examines the effects of exchange rate volatility on non-traditional exports in Ghana.This study employed Auto-regressive Distributed Lag (ARDL) co-integration estimation technique for the investigation. The results indicate that exchange rate volatility negatively impacts Ghana’s non-traditional exports. Also, the effect is greater in the long- run than it is in the short-run. Other results also show that world income, growth rate of the economy and Treasury bill rate promote non-traditional exports, but real effective exchange rate does not. The value of the paper lies in the discussion of the short-run and long-run effects of exchange rate volatility on non-traditional exports in the Ghanaian context.


2017 ◽  
Vol 20 (1) ◽  
pp. 49-70
Author(s):  
Shinta Fitrianti

This paper investigates the long-run and short-run impacts of the exchange rate volatility onIndonesia’s real exports to its major trading partners; Japan and US. The study uses monthly data from January 1998 to October 2015 in order to capture the structural break period of the Global Financial Crisis 2008. In addition, commodity price is included as an explanatory variable. The index of exchange rate volatility is generated using moving sample standard deviation of the growth of the real exchange rate. This paper estimates the long-run cointegration using Autoregressive Distributed Lag (ARDL) bounds testing, while for the short-run dynamic this paper use error-correction-model (ECM). The findings suggest rupiah volatility against the Japanese yen reduces Indonesia’s export to Japan, both in the short and the long-run. Fluctuation of rupiah against the US dollar helps Indonesia’s export to the US in the short run, but the impact is not carried out to the long-run. On the other hand, the impact of commodity price shock is negligible, except for the long-run export to Japan.


2021 ◽  
Vol 4 (2) ◽  
pp. 27-51
Author(s):  
Abubakar Mikailu Aminu ◽  
◽  
Alexander Abraham Anfofum ◽  
Zakaree Saheed ◽  
◽  
...  

The paper examined the long run relationship between oil price shock, exchange rate volatility and economic growth in Nigeria over the period 1980-2019. The study employed the Johansen Vector Autoregression (VAR)-based cointegration technique model to examine the sensitivity of real economic growth to changes in oil prices and real exchange rate volatility in the long-run while the short run dynamics was checked using a vector error correction model. The result from the Granger causality test suggests that there is causality between oil price, exchange rate and GDP. The results from Johansen cointegration test indicate there exist a long-run equilibrium relationship among the variables. Findings further show that oil price shock and appreciation in the level of exchange rate exert positive impact on real economic growth in Nigeria. The paper therefore recommends greater diversification of the economy through investment in key productive sectors of the economy using income from the crude oil export to guard against the vicissitude of oil price shock and exchange rate volatility.


Author(s):  
Christian E. Bassey ◽  
Okoiarikpo Benjamin Okoi ◽  
Ikpe Kingsley Imoh

This study examined the impact of financial development and financial openness on economic growth in Nigeria between 1981 and 2019. This was done through the use of the Auto-Regressive Distributed Lag (ARDL) model. In doing this, the ratio of credit to the private sector to the GDP and broad money to narrow money were used as measures of financial development and financial openness respectively. The study found that financial development has a positive and insignificant impact on economic growth in Nigeria in the long and short-run. The study also found that financial openness has a negative and insignificant impact on economic growth in Nigeria in the long-run. The results of the study further revealed that simultaneous existence of financial development and financial openness has an insignificant but positive impact on economic growth in Nigeria in the long-run. Based on the findings, the study recommended that the CBN should increase its efforts towards the regulation and supervision of the financial sector to reduce the incidence of financial distress. The study also recommended that efforts to develop the mortgage and insurance sector and the capital market should be intensified through regulatory improvements, improvements in the instruments in use in the market as well as public enlightenment programs to increase awareness of the potentials of the mortgage, insurance and capital markets. The final recommendation made by the study is that more restrictions should be placed on the inflow of capital in and out of the country to guard against sudden capital flow reversals.


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