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The determinants and consequences of the efficiency of information dissemination in security markets

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TitleInfo
Title
The determinants and consequences of the efficiency of information dissemination in security markets
Name (type = personal)
NamePart (type = family)
Chen
NamePart (type = given)
Yifei
NamePart (type = date)
1992
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Chen, Yifei, 1992-
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author
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Palmon
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Dan
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Dan Palmon
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Advisory Committee
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chair
Name (type = personal)
NamePart (type = family)
Sarath
NamePart (type = given)
Bharat
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Bharat Sarath
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Zhang
NamePart (type = given)
Li
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Li Zhang
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Yezegel
NamePart (type = given)
Ari
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Ari Yezegel
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Advisory Committee
Role
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outside member
Name (type = corporate)
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Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
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RoleTerm (authority = RULIB)
school
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Text
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theses
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2020
DateOther (qualifier = exact); (type = degree)
2020-05
Language
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English
Abstract (type = abstract)
This dissertation consists of three interrelated essays that examine the determinants and consequences of the efficiency of information dissemination in security markets.

In the first essay, a new measure of investors’ divergence of opinion derived from analysts’ conditional forecasts revisions is constructed and the relationship between divergence of opinion and M&A-related target characteristics is analyzed. The new measure of divergence of opinion is negatively associated with takeover likelihood, positively associated with takeover completion likelihood, and positively associated with target abnormal announcement returns. The evidence also suggests that this new measure has more informational content and is a more efficient predictor compared with three other traditional measures of divergence of opinion in predicting M&A characteristics. Finally, the evidence suggests that the cumulative target abnormal announcement return contains a value-creating component that dominates its takeover premium component.

The second essay explores characteristics of financial analysts who deliver more consistent forecast errors. First, by showing that analyst forecast consistency mitigates the “walk-down” pattern, we demonstrate that consistent analysts use earnings forecasts both to provide value-related information and to achieve alternative personal goals. Second, by showing that analyst forecast consistency increases the relationship between stock valuations and stock recommendations, we demonstrate that consistency increases the forecast-recommendation translational effectiveness. Third, by showing that analyst forecast consistency increases the relationship between forecasts and short-term market returns but decreases the relationship between recommendations and short-term market returns, we demonstrate that consistent analysts allocate more information to forecasts than to recommendations. Finally, we find that analyst forecast consistency increases in firms’ information environment, analysts’ ability, analysts’ voluntary supplementary-information seeking behavior and decreases in analysts’ voluntary redundant-information seeking behavior and risk-related-information seeking behavior. We conclude that consistent analysts rely more on forecasts than on recommendations to serve investors’ needs for earnings information and analysts’ own personal needs, such as increasing trade volume, generating investment banking business, and currying favor with managers. Once forecasts are made, the forecast-recommendation translational process is less contaminated by incentives other than providing value-related information.

The third essay examines the relationship between the informativeness of financial analysts’ stock recommendations and earnings forecasts and firms’ brand capital intensity. Because brand assets are generally not capitalized and are more difficult to evaluate, analysts’ recommendations and forecasts for firms with higher brand capital intensity are expected to convey more information about firms’ value. As predicted, the results suggest that (1) analysts discuss more topics related to brand capital in their reports for firms with higher brand capital intensity, (2) the short-term market reactions to recommendations and forecasts are significantly higher for firms with higher brand capital intensity, (3) calendar-time portfolios based on analysts’ recommendations earn significantly greater abnormal returns for firms with higher brand capital intensity and (4) short-term market reactions to recommendations and forecasts are significantly positively related to brand capital intensity. In addition, the relationship is stronger when market news sentiment is more extreme. The relationship is also stronger when market news sentiment conflicts with forecast revisions but is indifferent when it conflicts with recommendation revisions. Furthermore, revision frequency and forecast accuracy decrease in brand capital intensity. These findings indicate that analysts expend more effort in evaluating brand capital and their stock recommendations and earnings forecasts are more valuable for firms with higher brand capital intensity.
Subject (authority = RUETD)
Topic
Management
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
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Title
Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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ETD_10644
Identifier (type = doi)
doi:10.7282/t3-pnj8-2s37
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application/pdf
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text/xml
Extent
1 online resource (x, 162 pages)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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NjNbRU
Genre (authority = ExL-Esploro)
ETD doctoral
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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Chen
GivenName
Yifei
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Copyright Holder
RightsEvent
Type
Permission or license
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2020-04-22 10:29:19
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Name
Yifei Chen
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Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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