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dc.contributor.authorSmales, Lee
dc.date.accessioned2017-01-30T11:29:18Z
dc.date.available2017-01-30T11:29:18Z
dc.date.created2014-09-10T20:00:18Z
dc.date.issued2014
dc.identifier.citationSmales, L. 2014. Reaction to non-scheduled News During Financial Crisis: Australian Evidence. Applied Economics Letters. 21 (17): pp. 1214-1220.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/12208
dc.identifier.doi10.1080/13504851.2014.920465
dc.description.abstract

News analytics software applies linguistic algorithms to newswire releases in order to assign a sentiment score; this allows users to comprehend the unstructured data flowing through newswires. I examine the market reaction of leading Australian stocks to stock-specific news flow during the financial crisis of 2007–2009. A high-frequency VAR model with GARCH effects modelled through a VECH(1,1) specification is utilized. I find a significant market impact induced by contemporaneous news items, a significant and positive relationship between volume and volatility, an increase in bid–ask spreads following periods of increased volatility, and evidence of volatility persistence.

dc.publisherRoutledge
dc.subjectnews analytics
dc.subjectASX
dc.subjectVAR-GARCH
dc.subjectstock market
dc.subjectnonscheduled news
dc.titleReaction to non-scheduled News During Financial Crisis: Australian Evidence
dc.typeJournal Article
dcterms.source.volume21
dcterms.source.number15
dcterms.source.startPage1031
dcterms.source.endPage1035
dcterms.source.issn1350-4851
dcterms.source.titleApplied Economics Letters
curtin.note

This is an Author's Accepted Manuscript of an article published in the Applied Economics Letters 2014, copyright Taylor & Francis, available online at: <a href="http://www.tandfonline.com/10.1080/13504851.2014.920465">http://www.tandfonline.com/10.1080/13504851.2014.920465</a>

curtin.departmentSchool of Economics and Finance
curtin.accessStatusOpen access


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