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Record W2003115897 · doi:10.1108/03074350310768571

The early performance of non‐US banking equities on the NYSE

2003· article· en· W2003115897 on OpenAlexaboutno aff
Mark Schaub

Bibliographic record

VenueManagerial Finance · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsInitial public offeringEquity (law)BusinessMonetary economicsStock exchangeStock (firearms)Volatility (finance)Financial economicsEconomicsFinancial systemAccountingFinance

Abstract

fetched live from OpenAlex

The finance literature extensively documents the abnormal positive returns of unseasoned initial public offerings (IPOs) in the early trading. Neuberger and LaChapelle (1983), McDonald and Fisher (1972), Neuberger and Hammond (1974), Reilly (1977), Logue (1973), Ibbotson (1975), Ibbotson and Jaffe (1975), Ritter (1984), Miller and Reilly (1987), and Ibbotson, Sindelar and Ritter (1988) are but a few studies providing convincing evidence of initial price volatility in IPOs which, after some period of time, tends to level off. Some IPO studies, particularly Neuberger and LaChapelle (1983), Logue (1973), and Friend (1967), intentionally ignore institutional IPOs. Logue (1973) states that banking issues create a downward pricing bias because the market has already accurately priced the assets of financial institutions. Alli, Yau and Yung (1994) provided evidence that banking IPOs enjoyed significantly less positive abnormal returns in the early trading than a control sample of industrial firms. This study examines the early stock price movements of the 32 non‐US banking equities issued on the New York Stock Exchange (NYSE) from January 1986 through May 2001 and finds that virtually no underpricing exists in the early trading for those issues – a vast deviation from the results of most IPO and ADR event studies, but a strong indication that banking IPOs do create a downward pricing bias when considered in IPO studies with securities from different industries. All new foreign equity issues in this study are traded as American Depository Receipts (ADRs) except the Canadian stocks.

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)0.001
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 score0.905
Threshold uncertainty score0.479

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.189
Teacher spread0.175 · 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 teacher head, 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

Citations2
Published2003
Admission routes1
Has abstractyes

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