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Record W3127894017 · doi:10.5539/ijef.v13n2p84

Analysis of the Need for Stock Market in Ethiopia

2021· article· en· W3127894017 on OpenAlexvenueno aff
Haileberhan Zena

Bibliographic record

VenueInternational Journal of Economics and Finance · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsStock marketBond marketFinancial servicesPrimary marketFinancial systemPrivate sectorFinanceFinancial marketBusinessEconomicsEquity (law)Secondary marketMarket depthStock exchangeEconomic growth

Abstract

fetched live from OpenAlex

Private sector participation and performance in the Ethiopian economy is weak. This is due to insufficient access of financial resources to the private sector. The credit market in the country has been overwhelmingly dominated by state-owned banks whose lending efforts have been dedicated to expanding public infrastructure projects and state owned enterprises as a matter of policy. The current government reform initiative by the name ‘Home-grown Economic Reform’ is expected to bring some adjustments in the financial system so that the private sector can have better choice for its long term investment needs with the introduction of market-based financial access. This study employed desk review of secondary data with content analysis of appropriate conceptual and empirical literature. Analysis of establishing stock market as a major alternative to bank based system is conducted using two models: business growth life cycle model and the financial structure model. The models are thought to explain the potential contribution of the development of equity market as a complement to the credit market in the financial structure of the country given the early stage of growth of the economy. The findings shown that establishing and developing stock market is strongly recommended to complement bank services and as an alternative financial access system both to investors and entrepreneurs. Issues to be considered in the process of establishing a stock market are provided as a way forward.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.244
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations5
Published2021
Admission routes1
Has abstractyes

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