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Aggregate Disclosure and Sentiment

dc.contributor.authorSynn, Christina
dc.date.accessioned2017-06-14T18:30:39Z
dc.date.availableNO_RESTRICTION
dc.date.available2017-06-14T18:30:39Z
dc.date.issued2017
dc.date.submitted2017
dc.identifier.urihttps://hdl.handle.net/2027.42/136961
dc.description.abstractThis paper examines the relationship between aggregate disclosure and investor expectations about the future economy (i.e. sentiment). I specifically explore the relationship between the aggregate tone of firm-level annual and quarterly reports and common investor sentiment measures. Controlling for a number of macroeconomic factors, I find that more negative aggregate tone is associated with less positive sentiment in future months. Consistent with the Barberis, Shleifer, and Vishny (1998) model of investor sentiment, I find that this result is stronger when the disclosure is more salient (i.e. lower tone dispersion) and is more statistically informative (i.e. higher filing intensity). I also find preliminary evidence suggesting that aggregate tone relates to both short-term and long-term expectations and that it associates more to the non-fundamental expectations of investors. Overall, the findings suggest accounting information may play a role in influencing investor expectations about the future economy.
dc.language.isoen_US
dc.subjectDisclosure
dc.subjectMacroeconomics
dc.subjectSentiment
dc.titleAggregate Disclosure and Sentiment
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineBusiness Administration
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.contributor.committeememberMiller, Gregory Smith
dc.contributor.committeememberMasatlioglu, Yusuf Can
dc.contributor.committeememberBall, Ryan T
dc.contributor.committeememberNagel, Stefan
dc.contributor.committeememberWilliams, Christopher Don
dc.subject.hlbsecondlevelAccounting
dc.subject.hlbtoplevelBusiness and Economics
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/136961/1/csynn_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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