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zbMATH Open
Article . 2002
Data sources: zbMATH Open
https://doi.org/10.2139/ssrn.3...
Article . 2003 . Peer-reviewed
Data sources: Crossref
The Quarterly Journal of Economics
Article . 2002 . Peer-reviewed
Data sources: Crossref
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Noise Trading and Exchange Rate Regimes

Noise trading and exchange rate regimes
Authors: Andrew Kenan Rose; Olivier Jeanne;

Noise Trading and Exchange Rate Regimes

Abstract

Both the literature and new empirical evidence show that exchange rate regimes differ primarily by the noisiness of the exchange rate, not by measurable macroeconomic fundamentals. This motivates a theoretical analysis of exchange rate regimes with noise traders. The presence of noise traders can lead to multiple equilibria in the foreign exchange market. The entry of noise traders alters the composition of the market and generates excess exchange rate volatility, since noise traders both create and share the risk associated with exchange rate volatility. In such circumstances, monetary policy can be used to lower exchange rate volatility without altering macroeconomic fundamentals.

Country
Italy
Keywords

Entry; Equilibria; Fundamentals; Macroeconomic; Monetary; Multiple; Risk; Volatility, Trade models, endogenous noise trading, volatility, exchange rate, Finance etc., equilibria, jel: jel:G15, jel: jel:F33

  • BIP!
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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).
    145
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
145
Top 1%
Top 1%
Top 10%
bronze