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Record W4366771240 · doi:10.1111/jbfa.12699

The persistence and consequences of share repurchases

2023· article· en· W4366771240 on OpenAlexaff
Sadok El Ghoul, Omrane Guedhami, Hyunseok Kim, Jungwon Suh

Bibliographic record

VenueJournal of Business Finance &amp Accounting · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEarningsCash flowDividendMonetary economicsBusinessRetained earningsInvestment (military)Share repurchaseExternal financingFinanceEconomicsCorporate governanceShareholder

Abstract

fetched live from OpenAlex

Abstract Firms use cash flow primarily to finance increasingly persistent share repurchases. Such internal financing is accompanied by gradual increases in retained earnings in the capital structure, and results in high (low) repurchase (investment) sensitivity to cash flow. These effects are particularly pronounced among financially mature firms. The repurchase–cash flow sensitivity of US firms has increased steadily in recent decades, with steeper increases for financially mature firms. We find that repurchases are not generally associated with underinvestment. Moreover, a nontrivial number of firms would have depleted their retained earnings if they paid dividends instead of repurchased shares.

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 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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.046
GPT teacher head0.234
Teacher spread0.188 · 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 teacher head, 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

Citations7
Published2023
Admission routes1
Has abstractyes

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