Full metadata record
DC FieldValueLanguage
dc.contributorSchool of Accounting and Financeen_US
dc.contributor.advisorCheng, C. S. Agnes (AF)-
dc.contributor.advisorOhlson, James A. (AF)-
dc.creatorXie, Si-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/9762-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleThe dark side of earnings response coefficient : the role of ERC in future stock crash risk predictionen_US
dcterms.abstractThis study tries to explain individual crash risk from the perspective of valuation theory. We find that a higher Earnings Response Coefficient (ERC) predicts a higher probability of price crash than a lower ERC. This finding can be explained by investors' misevaluation of earnings persistence and systematic risk of the firm, which is also related to the bad news hoarding hypothesis. If managers hold back the bad news, this would prevent the investors from correcting their valuation of the systematic risk, hence resulting in a higher ERC and higher crash risk. Consistent with prior literature on earnings opacity, we find that the valuation theory could explain the increasing crash risk, which is further supported by cross-sectional analyses.en_US
dcterms.extent82 pagesen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2018en_US
dcterms.educationalLevelM.Phil.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.LCSHBusiness forecastingen_US
dcterms.LCSHDisclosure in accountingen_US
dcterms.LCSHInvestmentsen_US
dcterms.accessRightsopen accessen_US

Files in This Item:
File Description SizeFormat 
991022173536703411.pdfFor All Users512.77 kBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show simple item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/9762