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Record W1556643646

LA PRÉVISION DU BÉNÉFICE COMPTABLE PAR LE DIVIDENDE

2006· preprint· fr· W1556643646 on OpenAlexaboutno aff
Fodil Adjaoud, Imed Chkir, Abdul Rahman

Bibliographic record

VenueAmericanae (AECID Library) · 2006
Typepreprint
Languagefr
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Cette étude analyse la relation entre les décisions de changement des dividendes et les bénéfices futurs des entreprises canadiennes cotées sur la bourse de Toronto au cours de la période 1985 à 2003. En utilisant une méthodologie similaire à celles de Nissim et Ziv (2001) et Freeman, Ohlson et Penman (1982) sur les données américaines, et en distinguant les dividendes à la hausse des dividendes à la baisse, les résultats obtenus ne supportent pas l'hypothèse de la « neutralité » selon laquelle il n'y aurait aucun lien entre les changement des dividendes et les bénéfices futurs, ni l'hypothèse selon laquelle les versements des dividendes sont dictés par un souci de réduction des coûts d'agence entre les dirigeants et les actionnaires. Les résultats montrent plutôt que les décisions de changement des dividendes (particulièrement les augmentations de ceux-ci), sont suivies par des augmentations du bénéfice au cours des deux années suivant la décision. Ceci suggère que le dividende véhicule de l'information quant aux performances futures des entreprises canadiennes, et ce indépendamment du dénominateur utilisé pour définir les changements dans la rentabilité future. Nos résultats montrent également que les rendements sur les fonds propres sont caractérisés par une tendance centrale

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.018
GPT teacher head0.242
Teacher spread0.225 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2006
Admission routes1
Has abstractyes

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