Reaction to non-scheduled News During Financial Crisis: Australian Evidence
dc.contributor.author | Smales, Lee | |
dc.date.accessioned | 2017-01-30T11:29:18Z | |
dc.date.available | 2017-01-30T11:29:18Z | |
dc.date.created | 2014-09-10T20:00:18Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Smales, L. 2014. Reaction to non-scheduled News During Financial Crisis: Australian Evidence. Applied Economics Letters. 21 (17): pp. 1214-1220. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/12208 | |
dc.identifier.doi | 10.1080/13504851.2014.920465 | |
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.publisher | Routledge | |
dc.subject | news analytics | |
dc.subject | ASX | |
dc.subject | VAR-GARCH | |
dc.subject | stock market | |
dc.subject | nonscheduled news | |
dc.title | Reaction to non-scheduled News During Financial Crisis: Australian Evidence | |
dc.type | Journal Article | |
dcterms.source.volume | 21 | |
dcterms.source.number | 15 | |
dcterms.source.startPage | 1031 | |
dcterms.source.endPage | 1035 | |
dcterms.source.issn | 1350-4851 | |
dcterms.source.title | Applied 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.department | School of Economics and Finance | |
curtin.accessStatus | Open access |