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Testing Instantaneous Causality in Presence of Nonconstant Unconditional Covariance

Bibliographic Data

ID19417487
AuthorsQuentin Giai Gianetto (0000-0001-6815-2498, Institut de recherche mathématique de Rennes), Hamdi Raïssi (0000-0002-3178-1829, Institut de recherche mathématique de Rennes)
Year2015
Volume33
Issue1
Pages46-53
Publication date2015-01-02
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.2014.920614
OpenAlexW2021962923
LanguageEN
References cited45

This article investigates the problem of testing instantaneous causality between vector autoregressive (VAR) variables with time-varying unconditional covariance. It is underlined that the standard test does not control the Type I errors, while the tests with White and heteroscedastic autocorrelation consistent (HAC) corrections can suffer from a severe loss of power when the covariance is not constant. Consequently, we propose a modified test based on a bootstrap procedure. We illustrate the relevance of the modified test through a simulation study. The tests considered in this article are also compared by investigating the instantaneous causality relations between U.S. macroeconomic variables

Autocorrelation · Autoregressive model · Covariance · Econometrics · Heteroscedasticity · Statistical hypothesis testing · Statistics · Vector autoregression · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact

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Highly citedNo

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