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Record W2618447619 · doi:10.3917/ecofi.125.0287

Les banques islamiques sont-elles si islamiques que cela ? Conséquences en matière de fonds propres réglementaires

2017· article· fr· W2618447619 on OpenAlexaff
Mohammad Bitar, Philippe Madiès

Bibliographic record

VenueRevue d économie financière · 2017
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

En théorie, les banques islamiques sont des institutions qui appliquent le concept de partage de profits et de pertes (PPP). Néanmoins, la littérature montre que, dans la pratique, les banques islamiques reposent essentiellement sur des opérations commerciales (non-PPP) et marginalement sur les instruments PPP. Dans cet article, nous démontrons que le type d'intermédiation privilégié par les banques islamiques n'est pas très différent de celui des banques conventionnelles. Tout d'abord, nous analysons les activités pratiquées par les banques islamiques à la lumière d'un modèle d'intermédiation pur et d'un modèle hybride. Ensuite nous montrons que les banques islamiques pratiquent le concept de PPP au passif du bilan, mais les opérations commerciales non-PPP à l'actif du bilan. Ainsi le contrat mourabaha représente à lui seul près de 80 % du total des activités des banques islamiques. Enfin nous démontrons à partir d'un échantillon de 656 banques dont 116 islamiques que le type d'intermédiation privilégié par les banques islamiques les rend plus capitalisées en matière de fonds propres réglementaires pondérés et non pondérés par le risque que leurs homologues conventionnelles. Classification JEL : G20, G21, P43.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.999

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 studies0.0030.001
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.258
Teacher spread0.232 · 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 designNot applicable
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

Citations2
Published2017
Admission routes1
Has abstractyes

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