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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Economic Modellingarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Economic Modelling
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Exchange rate volatility and India's cross-border trade: A pooled mean group and nonlinear cointegration approach

Authors: Chandan Sharma; Debdatta Pal;

Exchange rate volatility and India's cross-border trade: A pooled mean group and nonlinear cointegration approach

Abstract

Abstract This paper offers first-hand commodity-level evidence regarding the effects of exchange rate volatility on India's cross-border trade with the U.S., Germany, Japan, and China. We used autoregressive conditional heteroscedasticity based models to estimate the volatility of the nominal exchange rate. To determine the short and long run relationships, we used pooled mean group estimators. The results show that, in the long run, nominal exchange rate volatility has a significant dampening impact on India's export rates to the U.S., Germany, and China along with imports from the U.S. and China. However, in the short run, the effects of the nominal exchange rate volatility on India's exports and imports were rather mixed. The study also tested the asymmetric effects of exchange rate volatility on India's trade using aggregated data. Although the results do not show much of an asymmetric effect, they do indicate that positive and negative effects differ in terms of their impact on trade volume. Policy recommendations are therefore suggested on the basis of these results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 10%
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