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On Joint Supervision on Financial Derivatives Market: an Analysis based on Supervision Production Efficiency and Reliability Designing

2010· article· en· W1900282557 on OpenAlexvenueno aff
Jianghua Hu, Zhang Zong-cheng

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInsurance and Financial Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)Transaction costWelfare economicsProduction (economics)EconomicsHumanitiesMicroeconomicsPhilosophyPower (physics)

Abstract

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The abnormalities in each aspect of the financial derivatives trade are likely to affect the market efficiency. The paper uses the thought of the financial engineering to decompose the supervision of the derivatives market. The paper also elaborates the relationship between the input and the efficiency of the supervision in each aspect through establishing product function and stochastic process to explain the influence from the specialization input to the supervision efficiency and applying reliability designing theory to prove the high efficiency of the joint supervision. And the paper discusses the margin of the united organization through using the cost and revenue comparison principle of the division theory to put forward the consideration for establishing the mode and frame of the derivatives joint supervision in China. Key words: the financial derivatives, joint supervision, efficiency, reliability designing Resume: Le fonctionnement anormal de chaque etape ou de chaque aspect dans la transaction des derives financiers peut exercer des influences sur l’efficacite du marche. Le present article, en utilisant la pensee de travaux financiers, entreprend une analyse sur l’activite de controle du marche des derives. L’auteur etablit la fonction de production et le processus stochastique pour exposer la relation entre l’entree du controle et l’efficacite du controle. Il prouve la haute efficacite du mode de controle conjoint avec la theorie de conception de la fiabilite et discute des limites de l’organisation conjointe. De ce, l’auteur propose sa conception sur le mode de controle conjoint des derives de notre pays et la construction de son cadre. Mots-cles: derives financiers, controle conjoint, efficacite, fonction de production, conception de la fiabilite 摘要:金融衍生品交易所涉及的每一個環節和方面的不正常,都有可能影響市場效率。本文運用金融工程的思想,對衍生品市場的監管活動進行分解,通過建立生產函數和隨機過程闡述在每一個方面和環節的監管投入與監管效率的關係,以此說明專業化投入優勢對監管效率的影響,運用可靠性設計理論證明聯合監管模式的高效率,並用分工理論的成本收益比較原理,論述聯合組織的邊界,在此基礎上,提出我國衍生品聯合監管的模式和框架建立的設想。 關鍵詞:金融衍生品;聯合監管;效率;生產函數;可靠性設計

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)0.002
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.274
Teacher spread0.248 · 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
Published2010
Admission routes1
Has abstractyes

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