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A generalized econometric model for ...
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Lin, Ginchung.
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A generalized econometric model for testing signalling hypotheses in the presence of sequential signal verification.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
A generalized econometric model for testing signalling hypotheses in the presence of sequential signal verification./
Author:
Lin, Ginchung.
Description:
213 p.
Notes:
Source: Dissertation Abstracts International, Volume: 53-01, Section: A, page: 0250.
Contained By:
Dissertation Abstracts International53-01A.
Subject:
Economics, Commerce-Business. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9216071
A generalized econometric model for testing signalling hypotheses in the presence of sequential signal verification.
Lin, Ginchung.
A generalized econometric model for testing signalling hypotheses in the presence of sequential signal verification.
- 213 p.
Source: Dissertation Abstracts International, Volume: 53-01, Section: A, page: 0250.
Thesis (Ph.D.)--The University of Mississippi, 1991.
This dissertation will try to explain the puzzling empirical results generated by employing the event-study methodology originated by Fama, Fisher, Jensen and Roll (1969) in the tests of signalling hypothesis. A signalling model with sequential signal verification is constructed to show that the security price reactions to the same kind of signal could vary cross-sectionally, if market participants verify the current signal with previous signals and the signals are not independent. In contrast to the prior researches, this dissertation investigates the price-signal relations given correlated investors' prior information and insiders' signal which is a function of a firm's latency asset value. The sequential signalling model decomposes the net signalling effect of a new signal into the lagged effect of the prior information (prior signals) and the true signalling effect. The lagged effect of the prior information on the security at the time a(n) favorable (unfavorable) new signal released is positive (negative). The true signalling effect of a(n) favorable (unfavorable) new signal on security price could vary from positive (negative) given bad (good) prior information to negative (positive) given good (bad) prior information. Besides the model also predicts that security price upward (downward) reaction to a(n) favorable (unfavorable) new signal given bad (good) prior signals is greater than that to a(n) favorable (unfavorable) new signal given good (bad) prior signals. Empirical tests are also conducted to justify these hypotheses.Subjects--Topical Terms:
626649
Economics, Commerce-Business.
A generalized econometric model for testing signalling hypotheses in the presence of sequential signal verification.
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A generalized econometric model for testing signalling hypotheses in the presence of sequential signal verification.
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213 p.
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Source: Dissertation Abstracts International, Volume: 53-01, Section: A, page: 0250.
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Thesis (Ph.D.)--The University of Mississippi, 1991.
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This dissertation will try to explain the puzzling empirical results generated by employing the event-study methodology originated by Fama, Fisher, Jensen and Roll (1969) in the tests of signalling hypothesis. A signalling model with sequential signal verification is constructed to show that the security price reactions to the same kind of signal could vary cross-sectionally, if market participants verify the current signal with previous signals and the signals are not independent. In contrast to the prior researches, this dissertation investigates the price-signal relations given correlated investors' prior information and insiders' signal which is a function of a firm's latency asset value. The sequential signalling model decomposes the net signalling effect of a new signal into the lagged effect of the prior information (prior signals) and the true signalling effect. The lagged effect of the prior information on the security at the time a(n) favorable (unfavorable) new signal released is positive (negative). The true signalling effect of a(n) favorable (unfavorable) new signal on security price could vary from positive (negative) given bad (good) prior information to negative (positive) given good (bad) prior information. Besides the model also predicts that security price upward (downward) reaction to a(n) favorable (unfavorable) new signal given bad (good) prior signals is greater than that to a(n) favorable (unfavorable) new signal given good (bad) prior signals. Empirical tests are also conducted to justify these hypotheses.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9216071
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