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Inequality Constraints in the Univariate GARCH Model

Bibliographic Data

ID19418594
AuthorsDaniel B Nelson (0000-0002-2716-7770, University of Chicago), Charles Q Cao (University of Chicago), Charles Cao (University of Chicago)
Year1992
Volume10
Issue2
Pages229-235
Publication date1992-04-01
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.1992.10509902
OpenAlexW2066628373
LanguageEN
Citations received11
References cited13

To keep the conditional variances generated by the GARCH (p, q) model nonnegative, Bollerslev imposed nonnegativity constraints on the parameters of the process. We show that these constraints can be substantially weakened and so should not be imposed in estimation. We also provide empirical examples illustrating the importance of relaxing these constraints

Autoregressive conditional heteroskedasticity · Econometrics · Economics · Estimation · Inequality · Mathematical optimization · Multivariate statistics · Statistics · Univariate · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact · Applied Mathematics

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Citations per year0.33
Citation span1993 - 2026 (34)
Highly citedNo

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