Investigating long-run stock returns after corporate events : the UK evidence

annif.suggestionssecurity market|yield|mathematical models|prices|shares|stock prices|effects (results)|water analysis|reliability (general)|laboratories|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p12456|http://www.yso.fi/onto/yso/p4629|http://www.yso.fi/onto/yso/p11401|http://www.yso.fi/onto/yso/p750|http://www.yso.fi/onto/yso/p11398|http://www.yso.fi/onto/yso/p16650|http://www.yso.fi/onto/yso/p795|http://www.yso.fi/onto/yso/p9185|http://www.yso.fi/onto/yso/p1629|http://www.yso.fi/onto/yso/p8598en
dc.contributor.authorDutta, Anupam
dc.contributor.departmentfi=Ei tutkimusalustaa|en=No platform|-
dc.contributor.facultyfi=Laskentatoimen ja rahoituksen yksikkö|en=School of Accounting and Finance|-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2020-09-25T06:19:09Z
dc.date.accessioned2025-06-25T12:40:08Z
dc.date.available2020-09-25T06:19:09Z
dc.date.issued2014
dc.description.abstractThe objective of this paper is to assess the robustness of the existing long-run event study methodologies in the UK stock market. In doing so, the study employs the buy-and-hold abnormal return approach and the calendar time portfolio method to identify the long-term abnormal performance following corporate events. Although many recent studies consider the application of these two widely used approaches, each of the methods is a subject to criticisms. This paper uses the standardized calendar time approach (SCTA) which presents a number of important improvements over the traditional calendar time methodology. The empirical analysis reveals that all the traditional methodologies perform well in the UK security market. Our findings further report that SCTA documents better specification and power than the conventional approaches.-
dc.description.notification©2014 by the authors. Published by Virtus Interpress. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent10-
dc.format.pagerange298-307-
dc.identifier.olddbid12635
dc.identifier.oldhandle10024/11387
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/677
dc.identifier.urnURN:NBN:fi-fe2020092575815-
dc.language.isoeng-
dc.publisherVirtus Interpress-
dc.relation.doi10.22495/cocv12i1c2p7-
dc.relation.ispartofjournalCorporate ownership and control-
dc.relation.issn1727-9232-
dc.relation.issue1-2-
dc.relation.urlhttp://doi.org/10.22495/cocv12i1c2p7-
dc.relation.volume12-
dc.rightsCC BY 4.0-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/11387
dc.subjectlong-run anomalies-
dc.subjectstandardized abnormal returns-
dc.subjectspecification issue-
dc.subjectpower issue-
dc.subject.olddisciplineTilastotiede-
dc.subject.ysosecurity market-
dc.subject.ysoyield-
dc.subject.ysomathematical models-
dc.subject.ysoprices-
dc.subject.ysoshares-
dc.subject.ysostock prices-
dc.subject.ysoeffects (results)-
dc.subject.ysowater analysis-
dc.subject.ysoreliability (general)-
dc.subject.ysolaboratories-
dc.titleInvestigating long-run stock returns after corporate events : the UK evidence-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|en=A1 Peer-reviewed original journal article|sv=A1 Originalartikel i en vetenskaplig tidskrift|-
dc.type.publicationarticle-
dc.type.versionpublishedVersion-

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