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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 Journal of Futures M...arrow_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
Journal of Futures Markets
Article . 2002 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
SSRN Electronic Journal
Article . 2002 . Peer-reviewed
Data sources: Crossref
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Asymmetric Information and Corporate Derivatives Use

Authors: Peter Dadalt; Gerald D. Gay; Jouahn Nam;

Asymmetric Information and Corporate Derivatives Use

Abstract

AbstractWe investigate the relationship between derivatives use and the extent of asymmetric information faced by the firm. Using alternative analyst forecast proxies for asymmetric information, we find evidence that both the use of derivatives and the extent of derivatives usage is associated with lower asymmetric information. Specifically, for firms using derivatives (notably currency derivatives) we find that analysts' earnings forecasts have significantly greater accuracy and lower dispersion. These findings support the conjectures of DeMarzo and Duffie (1995) and Breeden and Viswanathan (1998) who argue that hedging reduces noise related to exogenous factors and hence decreases the level of asymmetric information regarding a firm's earnings. © 2002 John Wiley & Sons, Inc. Jrl Fut Mark 22: 241–267, 2002

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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!
78
Top 10%
Top 10%
Top 10%
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