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SSRN Electronic Journal
Article . 2012 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2012
Data sources: EconStor
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Exchange Rate Misalignment - The Case of the Chinese Renminbi

Authors: Yin-Wong Cheung;

Exchange Rate Misalignment - The Case of the Chinese Renminbi

Abstract

Assessing exchange rate misalignment is not an easy task. With reference to the debate on the value of China's currency, the renminbi (RMB), this article highlights a few challenges in properly assessing the extent of currency misalignment. The results derived from the fundamental equilibrium exchange rate (FEER) approach and the Penn effect regression are used to illustrate the sensitivity of misalignment estimate to assumptions of the key parameters in a given model, sampling uncertainty, serial correlation adjustment, and data revision. It is shown that both the sign and the magnitude of a misalignment estimate could be dramatically affected by these factors.

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Keywords

FEER, Penn effect, sampling uncertainty, serial correlation, data revision, ddc:330, FEER, serial correlation, data revision, Penn effect, F41, sampling uncertainty, F31, jel: jel:F31, jel: jel:F41

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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!
1
Average
Average
Average
bronze