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Endogenous Trading Volume and Momentum in Stock-Return Volatility

Bibliographic Data

ID19418452
AuthorsChristopher G Lamoureux (Washington University in St. Louis), William D Lastrapes (University of Georgia)
Year1994
Volume12
Issue2
Pages253-260
Publication date1994-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1994.10510012
OpenAlexW2024282289
LanguageEN
Citations received6
References cited7

This article examines the ability of volume data to shed light on the source of persistence in stock-return volatility. A mixture model, in which a latent common factor restricts the joint density of volume and returns, is used to relax the assumption of exogenous volume used in previous studies. We use a point-in-time signal-extraction procedure to identify this latent process and a calibrated simulation to conduct analysis of the viability of the model to explain important properties of the data. Using daily returns and volume on individual stocks, our procedure cannot accommodate serial dependence in squared returns

Econometrics · Economics · Financial economics · Geography · Latent variable · Statistics · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Mathematics

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Unique citing works6
Citations per year0.19
Citation span1995 - 2018 (24)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 6

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