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Record W2473998863

State of the Investment Fund Market of as an Indicator of the Country's Socio-Economic Development

2016· article· en· W2473998863 on OpenAlexvenueno aff
Anna A. Vershinina, Liudmila V. Goryainova, Olga Aleksandrovna Zhdanova, Татьяна Павловна Максимова

Bibliographic record

VenueThe Journal of Internet Banking and Commerce · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)Closed-end fundFund of fundsInvestment fundMutual fundBusinessOpen-end fundCapital marketUmbrella fundEconomicsFinanceOpen-ended investment companyReturn on investmentInstitutional investorMacroeconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The paper introduces and confirms the following hypothesis: the system of the investment fund market indicators can be considered as an indicator of the country’s socio-economic development. In order to confirm the suggested hypothesis the paper has investigated the advantages and disadvantages of investment funds, promoting and hindering expansions of investment funds in the collective investment market, and has developed their classification according to a number of attributes. A system of indicative ratios of socio-economic development has been proposed in relation to the investment fund market: number of open-end mutual funds; net asset value of open-end mutual funds; capital inflow (outflow) into open-end mutual funds. The analysis of the Russian open-end mutual fund market has been performed. Based on this analysis, conclusions about the state of the economic and social development in Russia have been made.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.016
GPT teacher head0.227
Teacher spread0.211 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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