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Record W2578469083 · doi:10.1111/irfi.12035

The Causes and Consequences of Accelerated Stock Repurchases

2014· article· en· W2578469083 on OpenAlex
Ali C. Akyol, Jin S. Kim, Chander Shekhar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Review of Finance · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsShare repurchaseBusinessMonetary economicsQuarter (Canadian coin)CashStock (firearms)Open market operationSample (material)EconomicsFinanceMonetary policyCorporate governanceShareholder

Abstract

fetched live from OpenAlex

Abstract We examine the choice between accelerated share repurchase ( ASR ) and open market repurchase ( OMR ) as repurchase mechanisms between 2004 and 2007. For a sample of ASRs and OMRs that actually buy shares in the announcement quarter, we find that ASR firms have lower market‐to‐book ratios, less cash, but greater managerial entrenchment. Prior to repurchase, ASR firms are subject to significantly more takeover rumors than OMR firms are, and this, along with entrenchment and undervaluation, affects the choice to use ASRs . ASR firms experience positive average abnormal returns both before and after the announcement. Moreover, the latent takeover probability is significantly lower for both ASR and OMR firms (when compared with pre‐announcement levels), but the reduction for ASR firms is more pronounced. Our results suggest that repurchases, and especially ASRs , indeed make a firm a less attractive prospect for takeover.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score0.200

Codex and Gemma teacher scores by category

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

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 head0.034
GPT teacher head0.278
Teacher spread0.244 · 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