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postgraduate thesis: CEO turnover, communication disruption, and analyst forecast properties

TitleCEO turnover, communication disruption, and analyst forecast properties
Authors
Advisors
Advisor(s):Park, CWJoo, JH
Issue Date2019
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Hao, M. [郝梦姝]. (2019). CEO turnover, communication disruption, and analyst forecast properties. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractThis study examines how disruption in the overall communication between analysts and CEOs arising from CEO turnover affects analyst forecast properties. Disruption in analyst-CEO overall communication reduces analysts’ opportunity to acquire relevant information for forecasts from CEOs, thereby increasing analyst forecast errors and dispersion. To build relationships and communication channels with an incoming CEO, analysts may issue earnings forecasts that are easy to meet or beat, thus increasing forecast pessimism. I posit that the incremental impact of outsider CEO succession on analyst forecast properties is greater than that of insider CEO succession because the former is likely to create greater disruption in the overall analyst-CEO communication. Consistent with my predictions, I find that outsider CEO successions have a positive incremental impact on analyst forecast errors, dispersion, and pessimism than do insider CEO successions. Corroborative evidence indicates that the impacts of outsider successions on analyst forecast properties are attenuated when the departing CEOs remain on board or when analysts previously followed the former employer of an outsider successor.
DegreeDoctor of Philosophy
SubjectChief executive officers
Communication in management
Investment analysis
Labor turnover
Dept/ProgramBusiness
Persistent Identifierhttp://hdl.handle.net/10722/278425

 

DC FieldValueLanguage
dc.contributor.advisorPark, CW-
dc.contributor.advisorJoo, JH-
dc.contributor.authorHao, Mengshu-
dc.contributor.author郝梦姝-
dc.date.accessioned2019-10-09T01:17:40Z-
dc.date.available2019-10-09T01:17:40Z-
dc.date.issued2019-
dc.identifier.citationHao, M. [郝梦姝]. (2019). CEO turnover, communication disruption, and analyst forecast properties. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/278425-
dc.description.abstractThis study examines how disruption in the overall communication between analysts and CEOs arising from CEO turnover affects analyst forecast properties. Disruption in analyst-CEO overall communication reduces analysts’ opportunity to acquire relevant information for forecasts from CEOs, thereby increasing analyst forecast errors and dispersion. To build relationships and communication channels with an incoming CEO, analysts may issue earnings forecasts that are easy to meet or beat, thus increasing forecast pessimism. I posit that the incremental impact of outsider CEO succession on analyst forecast properties is greater than that of insider CEO succession because the former is likely to create greater disruption in the overall analyst-CEO communication. Consistent with my predictions, I find that outsider CEO successions have a positive incremental impact on analyst forecast errors, dispersion, and pessimism than do insider CEO successions. Corroborative evidence indicates that the impacts of outsider successions on analyst forecast properties are attenuated when the departing CEOs remain on board or when analysts previously followed the former employer of an outsider successor.-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshChief executive officers-
dc.subject.lcshCommunication in management-
dc.subject.lcshInvestment analysis-
dc.subject.lcshLabor turnover-
dc.titleCEO turnover, communication disruption, and analyst forecast properties-
dc.typePG_Thesis-
dc.description.thesisnameDoctor of Philosophy-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineBusiness-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5353/th_991044146572103414-
dc.date.hkucongregation2019-
dc.identifier.mmsid991044146572103414-

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