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Record W308813275 · doi:10.22495/cocv4i4p9

Motives for partial acquisition: Evidence from the effects of CEO change on the performance of partially acquired U.S. target firms

2007· article· en· W308813275 on OpenAlexaff
Khalil M. Torabzadeh, Sema Dube

Bibliographic record

VenueCorporate Ownership and Control · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsBusinessPsychologyMonetary economicsEconomics

Abstract

fetched live from OpenAlex

A company may acquire shares in another corporation to discipline the target management and improve target performance, or to gain inter-corporate perquisites such as higher dividends and favorable business deals to the detriment of the other shareholders of the target firm. We investigate the change in the post-acquisition share and operating performance, the dividend policy, the liquidity, and growth prospects of U.S. firms whose shares were partially acquired by other corporations during 1995-2000, wherein the target firms remained independent publicly traded companies following the acquisition. Using a change in CEO post acquisition as a proxy for the extent to which the acquirer wishes to change the direction of the target management, we find that target firms where the CEO was retained show negative risk adjusted abnormal share returns and significant deterioration in operating performance after the acquisition while having a substantial increase in CEO compensation compared to those target firms that replace their CEO during the post acquisition period. This suggests that disciplinary motives may predominate where the acquisition leads to a change in CEO, while obtaining inter-corporate perquisites may be the motivation in acquisitions that do not lead to replacement of the target firm CEO. We do not find support for financial perquisites such as higher dividends that are subject to inter-corporate exclusion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.097
GPT teacher head0.282
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2007
Admission routes1
Has abstractyes

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