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Record W399675278

Canadian IPO share releases : lockup designs, transparency and market behavior

2007· dissertation· en· W399675278 on OpenAlexaboutno aff
Siyi Liang

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2007
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsProspectusInitial public offeringUnderwritingBusinessIssuerMonetary economicsTransparency (behavior)Information asymmetryAccountingFinanceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Since no Canadian evidence exists on Canadian IPO lockups, this thesis examines the design, impact and market behavior of two types of lockups for Canadian IPOs listed on the TSX during the 1997-2005 period. We find that the existence of lockup information in an issuer's prospectus does not significantly reduce IPO underpricing by underwriters. We also find that IPO firms with dual-class share structures tend to have higher proportions of shares locked up and longer escrow lockup periods, and that larger firms have higher proportions of shares locked up as "escrow shares". These findings partially support the evidence reported by Brau et al. (2005) that firms with less transparency will provide a signal that the interests of their insiders are better aligned with outside investors by including lockups in their prospectuses. Significant negative (cumulative) abnormal returns are found only for high-tech firms immediately around unlock days. Lower abnormal trading volumes and relative spreads are found after unlock days for only the sample of IPOs with escrow lockups with stipulated non-zero lockup length. Keywords: IPO, lockup, escrow, abnormal market behavior. JEL Classification: G10, G15

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.261
Teacher spread0.227 · 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.

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

Citations1
Published2007
Admission routes1
Has abstractyes

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