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Record W2894884459 · doi:10.7202/1051317ar

Ajustement des capitaux propres réels pour la détermination de la marge de solvabilité, en vue d’éliminer le biais d’agence introduit par l’État en faveur des dirigeants des compagnies d’assurances au détriment de leurs actionnaires – Cas du Maroc

2018· article· fr· W2894884459 on OpenAlexaffvenue
Nabil Adel

Bibliographic record

VenueAssurances et gestion des risques · 2018
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La théorie classique de l’agence n’intègre pas l’intervention de l’État en faveur d’une partie sur l’autre dans le rapport entre principal / agent. Or au Maroc, nous avons observé que les normes de solvabilité dans le secteur des assurances, basées sur une formule standard, se traduisent par une mobilisation excessive des flux de trésorerie disponibles entre les mains des managers. Ce faisant, elle déséquilibre la relation d’agence au détriment des actionnaires. Nos travaux de recherche ont permis d’identifier quantitativement ce biais, d’observer la réaction des actionnaires qui en résulte et de proposer des retraitements à la formule standard de nature à l’éliminer. Nous avons ensuite appliqué ces retraitements au cas réel d’une compagnie d’assurances au Maroc et constaté que ces retraitements permettaient effectivement d’éliminer ce biais.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.000
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 head0.032
GPT teacher head0.292
Teacher spread0.260 · 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
Published2018
Admission routes2
Has abstractyes

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