Exchange rate volatility and exports from India: a commodity-level panel data analysis

2019 ◽  
Vol 12 (1) ◽  
pp. 23-44
Author(s):  
Chandan Sharma
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Exchange Rate Volatility ◽  
Nominal Exchange Rate ◽  
Exchange Rate Risk ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThis study aims to examine the relationship between exchange rate risk and export at commodity level for the Indian case.Design/methodology/approachThe monthly panel data used for analysis are at a disaggregated level, which cover around 100 products, encompassing all merchandize sectors for the period spanning from 2012:12 to 2017:11. To measure the exchange rate volatility, the authors use real as well as nominal exchange rate concepts and predict the volatility of exchange rate using the autoregressive conditional heteroscedastic-based model. They use pooled mean group, mean group and common correlated effects mean group estimator that is suitable for the objectives and data frequency.FindingsThe empirical analysis indicates both short- and long-term negative effects of exchange rate variations on exporting. Specifically, in the long run, real exchange rate as well as nominal exchange rate volatility has significant effects on export performance, yet, the effects of uncertainty of nominal exchange rate is much severe and intense. In the short run, it is the nominal exchange rate uncertainty that hurts exports from India. Nevertheless, the short-run effect is much lesser than the long-run, supporting the argument that the short-term exchange rate risk can be hedged, at least partially, through financial instruments; however, uncertainty of the long-term horizon cannot be hedged easily and cost-effectively.Practical implicationsReducing uncertainty and attaining stability in exchange rate and price level should be an important policy objective in developing countries such as India to achieve higher export growth, both in the short and long run.Originality/valueUnlike previous studies, this paper tests the relationship using micro-level data and uses advanced econometric techniques that are likely to provide more precise information regarding the association between exchange rate volatility and trade flows.

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 Impact of Exchange Rate Volatility on Unemployment in Pakistan

2021 ◽  
Vol VI (II) ◽  
pp. 49-66
Author(s):  
Atiq Ur Rahman ◽  
Salyha Zulfiqar Ali Shah ◽  
Qamar uz Zaman
Keyword(s):  
Developing Countries ◽  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Stability Tests ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
The Relationship ◽  
Long Run Equilibrium

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.

Does exchange rate volatility influence import commodities of India-US? Evidence from ARDL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohini Gupta ◽  
Sakshi Varshney
Keyword(s):  
Exchange Rate ◽  
Financial Crisis ◽  
Real Exchange Rate ◽  
Global Financial Crisis ◽  
Exchange Rate Volatility ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Empirical Analysis ◽  
Real Exchange Rate Volatility

PurposeThe aim the study is to explore the impact of real exchange rate volatility and other macroeconomic variable such as price of import, industrial production and real exchange rate on 45 import commodities, considering global financial crisis period on India's import from the US. The empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effect and causality among variables.Design/methodology/approachThe study uses E-GARCH model to gage the real exchange rate volatility, an autoregressive distributive lag (ARDL) bound test technique to discover the adequate short- and long-run relationships and Toda-Yamamoto causality method to analyze the causality among variables. The study uses the time period from 2002:M09 to 2019:M06.FindingsThe empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effects and causality among variables.Practical implicationsThe finding of the study suggests that macroeconomic variables have significant role and could be important to undertake the small and medium scale industries in policymaking. Government may need to make decision for micro, small and medium enterprises (MSMEs) as their performance can bring change in the trade to compete globally by increasing and controlling the price of the import and defending the domestic competitiveness.Originality/valueThe study uses additional variable namely price of import and includes the global financial crisis period to measure dampening effect on each commodity by using robust econometric technique in context of emerging nation like India.

scholarly journals Exchange Rate Volatility and Import Trade Flow Evidence From India-U.S. at Industry Level

2021 ◽  
Vol 12 (3) ◽  
pp. 1-21
Author(s):  
Mohini Gupta ◽  
Sakshi Varshney
Keyword(s):  
Exchange Rate ◽  
Trade Flow ◽  
Exchange Rate Volatility ◽  
Long Run ◽  
Short Run ◽  
Import Trade ◽  
The Impact ◽  
The Relationship ◽  
Autoregressive Conditional Heteroscedasticity ◽  
The Empirical Analysis

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.

scholarly journals Real exchange rate volatility and domestic consumption in Ghana

2018 ◽  
Vol 19 (5) ◽  
pp. 513-523 ◽  
Author(s):  
Bernard Njindan Iyke ◽  
Sin-Yu Ho
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Exchange Rate Volatility ◽  
Sub Saharan Africa ◽  
Annual Data ◽  
Alternative Measure ◽  
Domestic Consumption ◽  
Content Type ◽  
Long Run ◽  
Short Run

PurposeThis paper aims to examine the effects of exchange rate volatility on consumption by focusing on a small open sub-Saharan Africa (SSA) country, Ghana, which has experienced exchange rate volatility frequently.Design/methodology/approachThe authors used annual data covering the period 1980-2015, the annualised variance of the real exchange rate as a measure of exchange rate volatility and a technique that is able to separate short-run effects from long-run effects.FindingsThe authors found that exchange rate volatility has negative effects on domestic consumption in the short run, which is passed on as negative long-run effects. This conclusion is unaffected by an alternative measure of exchange rate volatility and the choice of lag restrictions.Research limitations/implicationsThe authors’ finding suggests that policymakers should seek to reduce or prevent exchange rate volatility by pursuing various policies including limiting foreign currency transactions within the country and promoting quality exports.Originality/valueThe extant studies have examined the effects of exchange rate volatility on consumption by considering countries in regions other than SSA. This paper focuses on a small open SSA country which has experienced exchange rate volatility frequently. Unlike most studies, this paper differentiates short-run effects from long-run effects.

scholarly journals Modelling the rand and commodity prices: A Granger causality and cointegration analysis

2014 ◽  
Vol 17 (5) ◽  
pp. 673-690 ◽  
Author(s):  
Xolani Ndlovu ◽  
Eric Schaling ◽  
Paul Alagidede
Keyword(s):  
Exchange Rate ◽  
Management Strategies ◽  
Commodity Prices ◽  
Cointegration Analysis ◽  
Nominal Exchange Rate ◽  
Nominal Data ◽  
Long Run ◽  
Short Run ◽  
The Relationship ◽  
Over Time

This paper examines the ‘commodity currency’ hypothesis of the Rand, that is, the postulate that the currency moves in line with commodity prices, and analyses the associated causality using nominal data between 1996 and 2010. We address both the short run and long run relationship between commodity prices and exchange rates. We find that while the levels of the series of both assets are difference stationary, they are not cointegrated. Further, we find the two variables are negatively related, with strong and significant causality running from commodity prices to the exchange rate and not vice versa, implying exogeneity in the determination of commodity prices with respect to the nominal exchange rate. The strength of the relationship is significantly weaker than other OECD commodity currencies. We surmise that the relationship is dynamic over time owing to the portfolio-rebalance argument and the Commodity Terms of Trade (CTT) effect and, in the absence of an error correction mechanism, this disconnect may be prolonged. For commodity and currency market participants, this implies that while futures and forward commodity prices may be useful leading indicators of future currency movements, the price risk management strategies may need to be recalibrated over time.

The long-run relationship between farm size and productivity

2019 ◽  
Vol 11 (2) ◽  
pp. 373-386
Author(s):  
Wanjun Yao ◽  
Shigeyuki Hamori
Keyword(s):  
Panel Data ◽  
Inverse Relationship ◽  
Agricultural Productivity ◽  
Farm Size ◽  
Land Productivity ◽  
Content Type ◽  
Long Run ◽  
The Difference ◽  
The Relationship

Purpose The purpose of this paper is to examine the long-term relationship between farm size and productivity in China at the national level. Design/methodology/approach In contrast to the micro-data examination conducted by earlier literature, in this study, the authors use household aggregate panel data on 29 provinces in China for 1988–2012. Using the panel data PMG model, the authors control the factor of difference in land quality due to the fixed effect in each province, and the authors consider the difference in the long-run coefficients of farm size and land productivity rather than the difference in their short-run relationship. Thus, the authors examine the long-term relationship between farm size and productivity. Furthermore, the authors examine the robustness of this relationship in the long-term using samples of rice, wheat and corn production by region. Findings In contrast with the findings presented previously, the authors find that the relationship between farm size and agricultural productivity is statistically positive in the long term. Originality/value The relationship between farm size and agricultural productivity is a key research issue in agricultural and development economics. In China, many studies have provided evidence of the inverse relationship between farm size and agricultural productivity at the family farm level. However, this inverse relationship seems to reflect specific regions and specific periods in the relationship between farm size and land productivity. At the nationwide level, in the long-term, this is not an inverse but a positive relationship. It is desirable to expand farm size for the long-term development of agriculture.

Exchange rate volatility and Turkish–German commodity trade: an asymmetry analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Huseyin Karamelikli
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Trade Flows ◽  
Commodity Trade ◽  
Content Type ◽  
Asymmetric Effects ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Turkish German

Purpose The purpose of this paper is to show that in some industries the linear model may not reveal any significance link between exchange rate volatility and trade flows but once nonlinear adjustment of exchange rate volatility is introduced, the nonlinear model reveals significant link. Design/methodology/approach This paper uses the linear ARDL approach of Pesaran et al. (2001) and the nonlinear ARDL approach of Shin et al. (2014) to assess asymmetric effects of exchange rate volatility on trade flows between Germany and Turkey. Findings This paper consider the experiences of 75 2-digit industries that trade between Turkey and Germany. When the study assumed the effects of volatility to be symmetric, the study found short-run effects in 31 (30) Turkish (German) exporting industries that lasted into the long run in only 10 (13) Turkish (German) exporting industries. However, when the study assumed asymmetric effects and relied upon a nonlinear model, the study found short-run asymmetric effects of volatility on exports of 55 (56) Turkish (German) industries. Short-run asymmetric effects lasted into long-run asymmetric effects in 10 (25) Turkish (German) exporting industries. All in all, we found that almost 25% of trade is hurt by exchange rate volatility. Originality/value This is the first paper that assesses the possibility of asymmetric effects of exchange rate volatility on German–Turkish commodity trade.

scholarly journals Exchange rate volatility and import trade flow Evidence from India-U.S. at Industry level

2021 ◽  
Vol 12 (3) ◽  
pp. 0-0
Keyword(s):  
Exchange Rate ◽  
Trade Flow ◽  
Exchange Rate Volatility ◽  
Long Run ◽  
Short Run ◽  
Import Trade ◽  
The Impact ◽  
The Relationship ◽  
Autoregressive Conditional Heteroscedasticity ◽  
The Empirical Analysis

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.

Exploring the relationship between macroeconomic indicators and sovereign credit default swap in Pakistan

2017 ◽  
Vol 18 (4) ◽  
pp. 368-380
Author(s):  
Abdul Rashid ◽  
Farooq Ahmad ◽  
Ammara Yasmin
Keyword(s):  
Exchange Rate ◽  
Credit Default Swap ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Credit Default ◽  
Macroeconomic Indicators ◽  
Short Run ◽  
The Exchange Rate ◽  
The Interest Rate

Purpose This paper aims to empirically examine the long- and short-run relationship between macroeconomic indicators (exchange rates, interest rates, exports, imports, foreign reserves and the rate of inflation) and sovereign credit default swap (SCDS) spreads for Pakistan. Design/methodology/approach The authors apply the autoregressive distributed lag (ARDL) model to explore the level relationship between the macroeconomic variables and SCDS spreads. The error correction model is estimated to examine the short-run effects of the underlying macroeconomic variables on SCDS spreads. Finally, the long-run estimates are obtained in the ARDL framework. The study uses monthly data covering the period January 2001-February 2015. Findings The results indicate that there is a significant long-run relationship between the macroeconomic indicators and SCDS spreads. The estimated long-run coefficients reveal that both the interest rate and foreign exchange reserves are significantly and negatively, whereas imports and the rate of inflation are positively related to SCDS spreads. Yet, the results suggest that the exchange rate and exports do not have any significant long-run impact on SCDS spreads. The findings regarding the short-run relationship indicate that the exchange rate, imports and the rate of inflation are positively, whereas the interest rate and exports are negatively related to SCDS spreads. Practical implications The results suggest that State Bank of Pakistan should design monetary and foreign exchange rate polices to minimize unwanted variations in the exchange rate to reduce SCDS spreads. The results also suggest that it is incumbent to Pakistan Government to improve the balance of payments to reduce SCDS spreads. The findings also suggest that the inflation targeting policy can also help in reducing SCDS spreads. Originality/value This is the first study to examine the empirical determinants of SCDS spreads for Pakistan. Second, it estimates the short- and long-run effects in the ARDL framework. Third, it considers both internal and external empirical determinants of SCDS spreads.

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