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A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility

The Case of the United States and Canada

Bibliographic Data

ID19418607
AuthorsGeorge Andrew Karolyi (The Ohio State University, corresponding author)
Year1995
Volume13
Issue1
Pages11-25
Publication date1995-01-01
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)
DOI10.1080/07350015.1995.10524575
OpenAlexW2131426928
LanguageEN
Citations received5
References cited28

This study examines the short-run dynamics of returns and volatility for stocks traded on the New York and Toronto stock exchanges. The main finding is that inferences about the magnitude and persistence of return innovations that originate in either market and that transmit to the other market depend importantly on how the cross-market dynamics in volatility are modeled. Moreover, much weaker cross-market dynamics in returns and volatility prevail during later subperiods and especially for Canadian stocks with shares dually listed in New York. Implications for international asset pricing, hedging strategies, and regulatory policy are discussed

Autoregressive conditional heteroskedasticity · Econometrics · Economics · Financial economics · Implied volatility · Multivariate statistics · Stock market · Volatility smile · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Monetary Policy and Economic Impact

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Unique citing works5
Citations per year0,21
Citation span2002 - 2023 (22)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5

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