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dc.contributor.authorLarsen, Vegard Høghaug
dc.contributor.authorThorsrud, Leif Anders
dc.date.accessioned2018-04-24T07:43:12Z
dc.date.available2018-04-24T07:43:12Z
dc.date.issued2017
dc.identifier.isbn978-82-7553-999-9
dc.identifier.issn1502-8190
dc.identifier.urihttp://hdl.handle.net/11250/2495561
dc.description.abstractWe decompose the textual data in a daily Norwegian business newspaper into news topics and investigate their predictive and causal role for asset prices. Our three main findings are: (1) a one unit innovation in the news topics predict roughly a 1 percentage point increase in close-to-open returns and signifcant continuation patterns peaking at 4 percentage points after 15 business days, with little sign of reversal; (2) simple zero-cost news-based investment strategies yield signifcant annualized risk-adjusted returns of up to 20 percent; and (3) during a media shortage, due to an exogenous strike, returns for firms particularly exposed to our news measure experience a substantial fall. Our estimates suggest that between 20 to 40 percent of the news topics' predictive power is due to the causal media effect. Together these findings lend strong support for a rational attention view where the media alleviate information frictions and disseminate fundamental information to a large population of investors.nb_NO
dc.language.isoengnb_NO
dc.publisherNorges Banknb_NO
dc.relation.ispartofseriesWorking Papers;17/2017
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectJEL: C5nb_NO
dc.subjectJEL: C8nb_NO
dc.subjectJEL: G4nb_NO
dc.subjectJEL: G12nb_NO
dc.subjectstock returnsnb_NO
dc.subjectnewsnb_NO
dc.subjectmachine learningnb_NO
dc.subjectlatent dirichlet allocationnb_NO
dc.subjectLDAnb_NO
dc.titleAsset Returns, News Topics, and Media Effectsnb_NO
dc.typeWorking papernb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212nb_NO
dc.source.pagenumber48nb_NO


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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