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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 Economics...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 Economics and Finance
Article . 2006 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Explaining momentum profits with an epidemic diffusion model

Authors: Balsara, Nauzer; Zheng, Lin; Vidozzi, Luca; Vidozzi, Andrea;

Explaining momentum profits with an epidemic diffusion model

Abstract

We show that information diffusion is a function of its dissemination and assimilation. Whereas dissemniation is a function of observable factors such as volume and price volatility, assimilation is dependent on unobservable factors such as the usefulness and reliability of information. We find that buying low volume (or low volatility) past losers and shortselling low volume (or low volatility) past winners generates a positive net return across the entire sample period and especially during bear markets. Second, buying high volatility past winners and shortselling high volatility past losers generates a positive net return, especially during bear markets.

Country
United States
Keywords

trading volume, momentum profits, Information diffusion, price volatility

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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!
4
Average
Average
Average
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