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Long Memory in Stock-Market Trading Volume

Bibliographic Data

ID19419552
AuthorsIgnacio N Lobato (0000-0001-7893-0564, Instituto Tecnológico Autónomo de México), Carlos Velasco (0000-0001-5913-0107, Universidad Carlos III de Madrid)
Year2000
Volume18
Issue4
Pages410-427
Publication date2000-10-01
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.2000.10524881
OpenAlexW1994848727
LanguageEN
Citations received6
References cited38

This article examines consistent estimation of the long-memory parameters of stock-market trading volume and volatility. The analysis is carried out in the frequency domain by tapering the data instead of detrending them. The main theoretical contribution of the article is to prove a central limit theorem for a multivariate two-step estimator of the memory parameters of a nonstationary vector process. Using robust semiparametric procedures, the long-memory properties of trading volume for the 30 stocks in the Dow Jones Industrial Average index are analyzed. Two empirical results are found. First, there is strong evidence that stock-market trading volume exhibits long memory. Second, although it is found that volatility and volume exhibit the same degree of long memory for most of the stocks, there is no evidence that both processes share the same long-memory component

Econometrics · Economics · Estimator · Financial economics · Long memory · Market microstructure · Multivariate statistics · Statistics · Stock market · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Mathematics · Finance

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Citations per year0.27
Citation span2004 - 2025 (22)
Highly citedNo

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