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dc.creatorFassas A., Papadamou S., Philippas D.en
dc.date.accessioned2023-01-31T07:37:42Z
dc.date.available2023-01-31T07:37:42Z
dc.date.issued2020
dc.identifier10.1108/RBF-02-2019-0027
dc.identifier.issn19405979
dc.identifier.urihttp://hdl.handle.net/11615/71483
dc.description.abstractPurpose: The purpose of this paper is to examine the spillover effects in international financial markets related to investors’ risk aversion as proxied by the variance premium, and how these relationships were affected by the quantitative easing (QE) announcements by the Federal Reserve. Design/methodology/approach: The empirical analysis employs a multivariate exponential generalized autoregressive conditionally heteroskedastic (VAR-EGARCH) specification, which includes the USA, the UK, Germany, France and Switzerland. Findings: Two main findings are raised from the empirical analysis. First, the VAR-EGARCH model identifies statistically significant spillover effects identifying the USA as the leading source driving investors’ risk aversion. Second, unconventional monetary easing announcement by the Fed has had significant effects on investors’ risk perspectives. Practical implications: Accounting for the dynamic volatility of variance premium inter-dependencies, the authors show that the correlations among variance premia increase during the QE announcements by the Federal Reserve, suggesting a herding behavior that may potentially lead to stock price bubbles and undermine financial stability. Originality/value: This is an empirical attempt that investigates the unexplored effects of unconventional monetary policy decisions in relation with investors’ attitudes toward risk. © 2019, Emerald Publishing Limited.en
dc.language.isoenen
dc.sourceReview of Behavioral Financeen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85071543863&doi=10.1108%2fRBF-02-2019-0027&partnerID=40&md5=cd27286661a844d7a712ad35730a1007
dc.subjectEmerald Group Holdings Ltd.en
dc.titleInvestors’ risk aversion integration and quantitative easingen
dc.typejournalArticleen


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