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Record W2058464450 · doi:10.1108/03074350710753744

Financial integration, regulation and competitiveness in Middle East and North Africa countries

2007· article· en· W2058464450 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueManagerial Finance · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMiddle EastFinancial integrationEconomicsOpenness to experienceEmerging marketsStock (firearms)Stock marketFinancial marketValue (mathematics)International economicsFinance

Abstract

fetched live from OpenAlex

Purpose The purpose of this article is to examine is to the link between stock markets and economic growth in advanced and emerging economies in the Middle East and North Africa (mena) region. Design/methodology/approach Indices measuring the degree of financial openness and market development are constructed and used to perform various Granger causality tests to identify predictors of current growth rates. Findings It is found that the link exists only in the group of high income countries but this relationship is rather weak for the low income MENA economies. Privatization alone, although necessary, is not enough to spur economic growth. The establishment of sound institutions and well‐defined regulatory policies are needed to protect investors’ rights and entice them to invest in real and financial assets in the MENA region. Originality/value The paper offers insights into financial integration, regulation and competitiveness in MENA countries.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.019
GPT teacher head0.191
Teacher spread0.172 · 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