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Record W2243641799

교차상장주식의 가격탐색과 임계오차수정모형

2011· article· ko· W2243641799 on OpenAlexaboutno aff

Bibliographic record

Venue국제경영리뷰 · 2011
Typearticle
Languageko
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsStock exchangeBusinessFinance
DOInot available

Abstract

fetched live from OpenAlex

원주식과 교차상장주식 간의 가격수렴의 과정은 불연속일 수 있다. 동일통화환산 가격차이가 충분하다면 차익거래에 의해 수렴속도가 빠를 것이고, 그렇지 않다면 느릴 것이다. 환언하면, 교차상장주식이 원주식에 대해 갖는 프리미엄의 시간에 걸친 움직임은 임계치를 상회할 때(외국면)와 아닐 때(내국면)의 양국면으로 대별된다. 이때의 임계치는 차익거래의 거래비용 및 위험프리미엄 등이 포함된 실효손익분기차액이 되겠다. 이를 계량모형화하기 위해서 Harris et al.(1995, 2002)의 선형오차수정모형을 Balky and Fomby(1997)의 임계오차수정모형으로 확장한 후 토론토 주식거래소(Toronto Stock Exchange)에 상장된 캐나다 기업들의 원주식과 뉴욕주식거래소(New York Stock Exchange)에 상장된 교차상장주식의 가격탐색에 대한 거래소별 상대적 기여도(정보지분)를 추정한다. NYSE의 가격탐색에 대한 상대적 영향력이 시간에 걸쳐 증대됨을 볼 수 있다. 또한, 추정된 외국면 정보지분과 차익거래 임계차액은 내부정보의 상대적 척도와, 시장마찰, 유동성 및 기업수준 특질에 의해 영향을 받는 것으로 보인다.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.013

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 head0.146
GPT teacher head0.310
Teacher spread0.164 · 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; both teacher heads agree on what is shown here.

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
Published2011
Admission routes1
Has abstractyes

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