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Record W3016770940 · doi:10.18371/fcaptp.v1i32.200284

IMPROVEMENT OF FINANCIAL SUPERVISION ON THE BASIS OF INTERNATIONAL PRINCIPLES IMPLEMENTATION

2020· article· en· W3016770940 on OpenAlexaboutno aff
Viktoriia Kremen, Andriy Semenog, Ольга Іванівна Кремень

Bibliographic record

VenueFinancial and credit activity problems of theory and practice · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessFinancial regulationFinanceBroker-dealerAccountingFinancial marketWork (physics)

Abstract

fetched live from OpenAlex

The article is devoted to the problem of financial supervision system compliance in the countries with the international principles and the best world practices. The main international principles of effective banking supervision, insurance and regulation of the securities market are analyzed. We developed a scientific and methodological approach to assessing the country's financial supervision compliance with international principles, which allows to determine the dynamics of development and improvement of financial supervision in banking, insurance and securities segments of the financial sector. A scale for translating financial supervisory compliance assessments into international principles was developed and statistical tools of arithmetic weighted and geometric mean were used to summarize the implementation of Core Principles for Effective Banking Supervision, Insurance Core Principles and Objectives and Principles of Securities Regulation. The average level the implementation of each of the principles of Effective Banking Supervision, Insurance Core Principles and Objectives and Principles of Securities Regulation is determined. Banking Supervision has been assessed to international principles in countries such as Austria, Bulgaria, Canada, Germany, Denmark, United Kingdom, Georgia, Hong Kong, Republic of Korea, Moldova, New Zealand, Russian Federation, Turkey, United States of America, South Africa, Insurance Supervision — Canada, Denmark, Hong Kong, Ireland, New Zealand, Turkey, United States of America, South Africa, securities market surveillance and financial supervision in general — Canada, Hong Kong, United States of America, South Africa. The work identifies key areas of modern and innovative development of the financial supervision system. The paper identifies key areas of modern and innovative development of the financial supervision. Our results showed that increasing the compliance of financial supervision with international standards can be ensured primarily through the introduction of risk-oriented financial supervision, improvement of corporate governance and disclosure of financial reporting by financial intermediaries.

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)0.022
metaresearch head score (Gemma)0.031
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 score0.022
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.049
GPT teacher head0.269
Teacher spread0.220 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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