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Record W1934433223 · doi:10.20430/ete.v75i299.413

El efecto de los conflictos de agencia en las políticas de dividendos a los accionistas. El caso chileno

2017· article· es· W1934433223 on OpenAlexaff
Fernando Lefort

Bibliographic record

VenueEl Trimestre Económico · 2017
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsGLS Industries (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En este articulo investigo los coeficientes (ratios) de pago de dividendos de las compañías chilenas pueden explicarse por el grado de los conflictos potenciales de agencia entre los accionistas minoritarios y los que controlan la empresa. Utilizo el análisis de regresión de un panel de datos y un estudio de hechos para someter a prueba diferentes hipótesis relacionadas con el afecto de la gestión empresarial en las políticas de pago a los accionistas.Los resultados muestran que en el contexto de una economía emergente, como la chilena, que presenta una alta concentración de la propiedad y una extendida utilización de conglomerados y estructuras piramidales, la teoría de la búsqueda de la renta para explicar los efectos de los problemas de agencia en las políticas de pago de dividendos parecen ser en particular pertinentes. Las compañías que presentan un grado mas alto de coincidencia entre los derechos de flujo de efectivo y los derechos de control tienden a tener políticas de dividendos mas generosas. Por otra parte, los anuncios de dividendos inesperadamente altos que hacen compañías con un potencial mayor de conflictos de agencia presentan rendimientos anormalmente altos.

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), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.020
GPT teacher head0.294
Teacher spread0.274 · 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.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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