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The Condition and Prospects of the Development of the Government Securities Market Instruments in Ukraine

2018· article· en· W2915530583 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTHE PROBLEMS OF ECONOMY · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsSecurity marketBusinessGovernment (linguistics)Financial systemAccountingFinance

Abstract

fetched live from OpenAlex

The article contains the results of studying instruments of the domestic market for government securities in Ukraine. Due to the fact that the financial market has become a powerful and efficient source for accumulating temporarily free funds, which will satisfy interests of investors themselves, the state is trying to diversify and improve the list of government securities of Ukraine. The main trends in the development of government borrowing in the domestic market of Ukraine are described, the advantages and disadvantages of the subtypes of government debt obligations are considered. Over the past decades the number of instruments in the government debt market of Ukraine has increased. In particular, these are VAT bonds, domestic government bonds in foreign currency, indexed bonds, hryvnia-denominated and US dollar-denominated treasury bills, war bonds. Despite a rather large list of financial instruments, almost all issues of non-standard debt instruments did not have much success. The main factors affecting the issuance and circulation of government securities in Ukraine are identified. Moreover, the relationship of the state and the NBU in the government securities market is highlighted. Financial bills and discussions of scientists about its legal status are considered in the context of financial instruments. There analyzed foreign experience in implementing government debt relief programs in the USA, Japan, and Canada, in which employers participate to financially support their employees. Positive and negative aspects of their functioning are identified, and conclusions are drawn about the possible consequences and prospects for Ukraine. There substantiated proposals for measures to increase the level of investor interest in government debt instruments in the securities market that concern both legal and economic components of qualitative changes and reforms.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.194
Teacher spread0.180 · 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