scholarly journals Determinants of Trade Deficit in Nepal: An Econometric Investigation

2020 ◽  
Vol 4 ◽  
pp. 73-86
Author(s):  
Surendra Raj Nepal
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Causal Relationship ◽  
Trade Deficit ◽  
Goods And Services ◽  
Real Gdp ◽  
Long Run ◽  
Short Run ◽  
Bound Test ◽  
Ardl Bound Test

Background: Nepal has been importing some of goods and services from other countries and is also capable of exporting some other goods and services to foreign countries. Because of over dependency on foreign goods, Nepal has been suffering from trade deficit for more than 45 years. Objective: This study aims to investigate the relationship of trade deficit in Nepal with its determinants by using econometric analysis where exchange rate, real gross domestic product and foreign direct investment are taken as determinants of trade deficit. Its main objective is to examine the long-run, short-run and causal relationship among the variables. Materials and Methods: Annual time series data from 1974/75 (from 1988/89 in case of FDI) to 2018/2019 obtained from different sources: Nepal Rastra Bank, Economic Survey of Nepal, The World Bank and Department of Industry, Nepal Government were used in this study. Unit root test was used to check stationary. Autoregressive Distributed Lag (ARDL), ARDL bound test and Error Correction Model (ECM) were applied to find short-run as well as long-run relationship. Finally, pair-wise causal relationship was tested by using Granger causality. Results: All variables were found to be stationary at first difference. The test statistic of ARDL bound test was 8.17 and was greater than upper bound of 6.36 at 1% significance level. Error correction term’s p-value was 0.0052 and the corresponding values for pair-wise Granger causality from trade deficit to FDI and FDI to trade deficit were 0.00009 and 0.00005, respectively. Conclusion: There was positive and significant long-run relationship between exchange rate and trade deficit whereas there was negative and significant long-run relationship between real GDP and trade deficit. Moreover, real GDP positively affected trade deficit in short-run. Furthermore, bidirectional causal relationship has been observed between FDI and trade deficit.

scholarly journals DETERMINANTS OF THE DEMAND FOR IMPORT OF BANGLADESH: A COINTEGRATION AND VECTOR ERROR CORRECTION ANALYSIS

2020 ◽  
pp. 23-30
Author(s):  
Maila Lama
Keyword(s):  
Error Correction ◽  
Foreign Exchange ◽  
Trade Deficit ◽  
Import Demand ◽  
Foreign Exchange Reserves ◽  
Vector Error Correction ◽  
Real Gdp ◽  
Vector Error ◽  
Long Run ◽  
Short Run

This paper examines the determinants of import demand of Bangladesh by using the time series data for the period 1990-91 to 2015-16. The study found that both export and import of the country has increased significantly after the liberalization of its economy in early 1990s. But its import has always been higher than export resulting in widening of its trade deficit. Its export destinations are located in distant countries; USA, Germany and UK while its imports sources are neighbouring countries like China and India. Johansen’s cointegration method and vector error correction model was applied to estimate the determinants of its import demand. The results showed that there was a long-run relationship between real import, real GDP and Foreign exchange reserves. In the long-run, import was found to be more elastic to real GDP and inelastic with respect to foreign exchange reserves. The VEC model indicated that any deviation in import in the short-run would get corrected within a period of less than one year. The import was more elastic to real income in the short-run than in the long-run. The evidences showed that the volume of import would increase faster with increase in real GDP and would deteriorate the country’s trade balance unless accompanied by high export growth. Hence, there is a need to invest in establishing import substitute industries to control imports and promote exports to reduce trade deficit. KEYWORDS: Import, trade policy, real GDP, foreign exchange reserve, cointegration

Electricity consumption and GDP nexus in Bangladesh: a time series investigation

2019 ◽  
Vol 27 (1) ◽  
pp. 35-48 ◽  
Author(s):  
Sima Rani Dey ◽  
Mohammed Tareque
Keyword(s):  
Causal Relationship ◽  
Strong Evidence ◽  
Electricity Consumption ◽  
Omitted Variables ◽  
Content Type ◽  
Real Gdp ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
Bound Test

Purpose The purpose of this paper is to assess the empirical cointegration, long-run and short-run dynamics as well as causal relationship between electricity consumption and real GDP in Bangladesh for the period of 1971‒2014. Design/methodology/approach Autoregressive Distributed lag (ARDL) “Bound Test” approach is employed for the investigation in this study. Findings Both short-run and long-run coefficients are providing strong evidence of having positive significant association between electricity consumption and GDP. Our long-run results remain robust to different measurements and estimators as well. The study reveals the unidirectional causal flow running from per capita electricity consumption to per capita real GDP in the short run. The study result also yields strong evidence of bidirectional causal relationship between per capita electricity consumption and per capita real GDP in the long run with feedback. It is suggested that both electricity generation and conservation policy will be effective for Bangladesh economy. Originality/value In prior studies, lack of causality between electricity consumption and GDP is due to the omitted variables. Combined effects of public spending and trade openness on GDP and electricity consumption are also considerable.

Remittances and Real Effective Exchange Rate

2018 ◽  
Vol 19 (1) ◽  
pp. 124-136 ◽  
Author(s):  
Ujjal Protim Dutta ◽  
Partha Pratim Sengupta
Keyword(s):  
Exchange Rate ◽  
Real Effective Exchange Rate ◽  
Annual Data ◽  
Long Run ◽  
Effective Exchange ◽  
Short Run ◽  
Effective Exchange Rate ◽  
The Impact ◽  
Bound Test ◽  
Ardl Bound Test

Remittances in India have been growing rapidly since 1991. Most of the studies find that remittance has had a significant impact on real effective exchange rate (REER). It is imperative to evaluate the impact of a transfer such as remittance and aid on country’s competitiveness. This article is an attempt to investigate the impact of workers’ remittances and some selected macro-variables on REER of India using annual data from 1980–2015. The study conducted autoregressive distributive lag (ARDL) bound test co-integration approach to explore this long-run relationship. The ARDL bound test approach confirms significant long-run relationships among the selected variables at 1 per cent level of significance. In addition to this, the ARDL short-run error correction model implies that while REER may temporarily deviate from its long-run equilibrium, the deviations adjust towards the equilibrium level in the long run. JEL: F31, F35, F41

scholarly journals Investigating in the J-curve phenomenon in Tunisia- ARDL bound test approach

2020 ◽  
Vol 12 (5(J)) ◽  
pp. 23-32
Author(s):  
Elham Shubaita ◽  
Muhammad Mar’i ◽  
Mehdi Seraj
Keyword(s):  
Trade Balance ◽  
Real Exchange Rates ◽  
Distributed Model ◽  
Long Run ◽  
J Curve ◽  
Short Run ◽  
Using Data ◽  
Bound Test ◽  
The Relationship ◽  
Ardl Bound Test

This paper investigates the relationship between trade balance, real exchange rates, and incomes in Tunisia by adopting the autoregressive distributed model (ARDL) by using data over the period of 1980 to 2018. We also used the bound test cointegration between variables at a 10% significant level. Our findings show that the Tunisia economy does not match the Marshall-Lerner condition in the long run, that provides an accurate description of the particular situation for which a country currency devaluation or depreciation its currency under both fixed or floating regime is predicted to enhance the trade balance of a country, which means there is no j-curve phenomenon in the long run, which tries to differentiate between the change of short-run and long-run effects in the change of exchange rate on the trade balance. Our findings match the Marshall-Lerner condition in the short run and can confirm the existing j-curve in the case of Tunisia.

scholarly journals The dynamic effect of exchange-rate volatility on Turkish exports: Parsimonious error-correction model approach

2015 ◽  
Vol 62 (4) ◽  
pp. 429-451 ◽  
Author(s):  
Erdal Demirhan ◽  
Banu Demirhan
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Exchange Rate Volatility ◽  
Dynamic Effect ◽  
Error Correction Model ◽  
Impulse Response Functions ◽  
Correction Model ◽  
Long Run ◽  
Export Volume ◽  
Short Run

This paper aims to investigate the effect of exchange-rate stability on real export volume in Turkey, using monthly data for the period February 2001 to January 2010. The Johansen multivariate cointegration method and the parsimonious error-correction model are applied to determine long-run and short-run relationships between real export volume and its determinants. In this study, the conditional variance of the GARCH (1, 1) model is taken as a proxy for exchange-rate stability, and generalized impulse-response functions and variance-decomposition analyses are applied to analyze the dynamic effects of variables on real export volume. The empirical findings suggest that exchangerate stability has a significant positive effect on real export volume, both in the short and the long run.

scholarly journals Effects of Exchange Rate and Inflation Rate on Stock Market Returns Volatility in India.

2020 ◽  
Author(s):  
Nenavath Sre ◽  
Suresh Naik
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Error Correction ◽  
Inflation Rate ◽  
Market Returns ◽  
Stock Market Returns ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Abstract The paper investigates the effect of exchange and inflation rate on stock market returns in India. The study uses monthly, quarterly and annual inflation and exchange rate data obtained from the RBI and market returns computed from the Indian share market index from January, 2000 to June, 2020.The paper uses the autoregressive distributed lag (ARDL) co-integration technique and the error correction parametization of the ARDL model for investigating the effect on Indian Stock markets. The GARCH and its corresponding Error Correction Model (ECM) were used to explore the long- and short-run relationship between the India Stock market returns, inflation, and exchange rate. The paper shows that there exists a long term relationship but there is no short-run relationship between Indian market returns and inflation. But, there is periodicity of inflation monthly considerable long run and short-run relationship between them existed. The outcome also illustrates a significant short-run relationship between NSE market returns and exchange rate. The variables were tested for short run and it was significantly shown the positive effects on the stock market returns and making it a desirable attribute of which investors can take advantage of. This is due to the establishment of long-run effect of inflation and exchange rate on stock market returns.

scholarly journals Are the Responses of Sectoral Energy Imports Asymmetric to Exchange Rate Volatilities in Pakistan? Evidence From Recent Foreign Exchange Regime

2021 ◽  
Vol 9 ◽  
Author(s):  
Abdul Saqib ◽  
Tze-Haw Chan ◽  
Alexey Mikhaylov ◽  
Hooi Hooi Lean
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Foreign Exchange ◽  
Exchange Rate Volatility ◽  
Asymmetric Effects ◽  
Unit Root Testing ◽  
Long Run ◽  
Short Run ◽  
Bound Test

Growing energy demand but stagnant production followed by volatile exchange rate leads Pakistan to energy imbalances and potential economic contraction. Yet, studies on sectoral energy imports are limited and inconclusive without accessing the asymmetric effect of currency fluctuations. We examine the impacts of Pakistani rupee volatility on monthly energy imports based on the nonlinear autoregressive distributed lag (NARDL) estimations. Augmented Dickey–Fuller and Phillips–Perron tests were used to conduct unit root testing, and the bound testing approach was used to examine the long-term cointegration. The long-run asymmetry was tested with the Wald test, and using the NARDL model, we examined both short-run and long-run asymmetric effects of exchange rate volatility on energy imports. The bound test was established and supported through ECMt−1 (t-test), cointegrating the relationship between exchange rate volatility and energy imports in a long term. Among others, both short-run and long-run asymmetric effects were found for crude oil, coal, electricity, and petroleum products. Rupee depreciation increased crude oil and electricity imports, while the appreciation effects were insignificant. Overall, the empirical assessment reveals that the foreign exchange volatility effect is sectoral specific and asymmetric in Pakistan. It offers new insights into re-strategizing the energy policy and refining the import substitution plan.

scholarly journals Different Approaches to Merchandise Trade Balance in Pakistan

2020 ◽  
Vol 12 (Number 2) ◽  
pp. 19-30
Author(s):  
Yousuf Aboya ◽  
Arsalan Hussain ◽  
Rohail Hassan ◽  
Hassan Mujtaba Nawaz Saleem ◽  
Aamir Hussain Siddiqui
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Trade Deficit ◽  
Real Effective Exchange Rate ◽  
Series Data ◽  
Long Run ◽  
Effective Exchange ◽  
Short Run ◽  
Merchandise Trade ◽  
Effective Exchange Rate

The current study empirically examines the three major approaches to trade balance for Pakistan by utilizing the yearly data from 1972 to 2016. Monetary, elasticity, and absorption approaches were tested by developing a model that incorporates all three approaches. The significant contribution of the study is that it uses only the merchandise trade deficit account, which includes trade of only physical goods. The study used time-series data; therefore, variables have been tested for the stationarity, and it is found that there is a combination of I (0) and I (1) variables, so ARDL bounds testing approach to co-integration has been employed to find the short run and long run associations among the variables. The bound test results discovered that there is a presence of stable long-term association among the merchandise trade deficit account, real broad money supply, real effective exchange rate, and real domestic absorption. The results further revealed that merchandise trade discrepancy is determined purely by the real effective exchange rate, which specifies that the exchange rate's devaluation increases the deficit in the long run whereas in the short-run increase in domestic absorption decreases the merchandise trade deficit.

scholarly journals Analysis of Indonesian Tax Revenue

2017 ◽  
Vol 1 (01) ◽  
pp. 71
Author(s):  
Amalia Wijayanti ◽  
Firmansyah Firmansyah
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Government Spending ◽  
Inflation Rate ◽  
Correction Term ◽  
Error Correction Model ◽  
Tax Revenue ◽  
Correction Model ◽  
Long Run ◽  
Short Run

<p>This study analyzes the long-run and short-run effect of macroeconomic factors, such as real Gross Domestic Product (GDP), inflation rate, exchange rate and government spending on Indonesia’s tax revenue during 1976-2013, by utilizing the Error Correction Model (ECM). The finding of the study demontrates that in the long-run; the real GDP, exchange rate, and government spending affect Indonesia’s tax revenue, except the inflation rate. In short-run, Indonesia’s tax revenue statisically affected by government spending, while others variable do not influence Indonesia’s tax revenue. Error Correction Term (ECT) coefficient is 0.221, explains incompatibility tax revenue occur in long-run is corrected of 22 percent in one period.</p><p><br />JEL Classification: E01, E20, H20<br />Keywords: Error Correction Model, Macroeconomic, Tax revenue</p>

scholarly journals Re-estimation of Keynesian Model by Considering Critical Events and Multiple Cointegrating Vectors

2015 ◽  
Vol 54 (2) ◽  
pp. 123-145
Author(s):  
Hafsa Hina ◽  
Abdul Qayyum
Keyword(s):  
Exchange Rate ◽  
Random Walk ◽  
Error Correction ◽  
Unit Root ◽  
Dynamic Error ◽  
Correction Model ◽  
Keynesian Model ◽  
Long Run ◽  
Out Of Sample ◽  
Short Run

This study employs the Mundell (1963) and Fleming (1962) traditional flow model of exchange rate to examine the long run behaviour of rupee/US $ exchange rate for Pakistan economy over the period 1982:Q1 to 2010:Q2. This study investigates the effect of output levels, interest rates and prices and different shocks on exchange rate. Hylleberg, Engle, Granger, and Yoo (HEGY) (1990) unit root test confirms the presence of non-seasonal unit root and finds no evidence of biannual and annual frequency unit root in the level of series. Johansen and Juselious (1988, 1992) likelihood ratio test indicates three long-run cointegrating vectors. Cointegrating vectors are uniquely identified by imposing structural economic restrictions on purchasing power parity (PPP), uncovered interest parity (UIP) and current account balance. Finally, the short-run dynamic error correction model is estimated on the basis of identified cointegrated vectors. The speed of adjustment coefficient indicates that 17 percent of divergence from long-run equilibrium exchange rate path is being corrected in each quarter. US war with Afghanistan has significant impact on rupee in short run because of high inflows of US aid to Pakistan after 9/11. Finally, the parsimonious short run dynamic error correction model is able to beat the naïve random walk model at out of sample forecasting horizons. JEL Classification: F31, F37, F47 Keywords: Exchange Rate Determination, Keynesian Model, Cointegration, Out of Sample Forecasting, Random Walk Model

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