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Record W2354788715

Assessment and Analysis on the Renminbi Offshore Stock:an Empirical Study Based on Quarterly Data from 2004 to 2012

2014· article· en· W2354788715 on OpenAlexaboutno aff
Sha Wen-bin

Bibliographic record

VenueShanghai jingji yanjiu · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsRenminbiQuarter (Canadian coin)ChinaEconomicsStock (firearms)Volatility (finance)Submarine pipelineStock exchangeMonetary economicsExchange rateFinancial economicsFinanceGeographyEngineering
DOInot available

Abstract

fetched live from OpenAlex

This paper estimates the scale of renminbi offshore stock during 2004 to 2012,using a method of deduction of local demand and quarterly data from 1992 to 2012. The result indicates that the scale of renminbi offshore stock has shown a steady rising trend,rising from 10. 55 billion yuan in the first quarter of 2004 to 14. 41 billion yuan in the last quarter of 2012,showing no excessive volatility. But its share in M0has continued to decline over the same period,decreasing from 0. 55% in the first quarter of 2004 to 0. 27% in the last quarter of 2012. Further analysis shows that the appreciation of renminbi and expectation for renminbi appreciation have been the important reasons for the rising scale of renminbi offshore stock,while its declining share in M0seem to be due to the high growth rate of China's money supply.

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)0.001
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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.330
Teacher spread0.259 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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