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dc.contributor.author엄찬영-
dc.date.accessioned2019-12-05T16:42:24Z-
dc.date.available2019-12-05T16:42:24Z-
dc.date.issued2018-02-
dc.identifier.citationJOURNAL OF CORPORATE FINANCE, v. 48, page. 413-427en_US
dc.identifier.issn0929-1199-
dc.identifier.issn1872-6313-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0929119917301463?via%3Dihub-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/117656-
dc.description.abstractUsing a unique Korean initial public offering bookbuilding dataset, this study examines the impacts of presales to institutions and premarket interest on institutional bidding decisions, and makes the following observations. First, there is no significant relationship between presales and bidding decisions. This can be attributed to the fact that Korean underwriters offer institutions more allocations of less underpriced shares. Second, institutions become more willing to bid aggressively as premarket interest increases. Third, institutional incentive to submit aggressive bids is positively related to underwriter pricing discretion. Fourth, bidding strategies are conditional on the different degrees of pricing discretion. Overall, this study's evidence concludes the endogeneity of institutional bidding decisions in premarket auctions.en_US
dc.description.sponsorshipThis work is supported by research funds from Hanyang University (HY-2013).en_US
dc.language.isoen_USen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.subjectInitial public offeringen_US
dc.subjectBookbuildingen_US
dc.subjectInstitutional bidding decisionen_US
dc.titleInstitutional bidding behaviors during IPO bookbuilding: Evidence from Koreaen_US
dc.typeArticleen_US
dc.relation.volume48-
dc.identifier.doi10.1016/j.jcorpfin.2017.09.024-
dc.relation.page413-427-
dc.relation.journalJOURNAL OF CORPORATE FINANCE-
dc.contributor.googleauthorEom, Chanyoung-
dc.relation.code2018015369-
dc.sector.campusS-
dc.sector.daehakSCHOOL OF BUSINESS[S]-
dc.sector.departmentDEPARTMENT OF FINANCE-
dc.identifier.pidcyeom73-
dc.identifier.researcherIDL-5103-2019-
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