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Record W2138335145

How cost-effective are Canadian IPO markets?

2002· preprint· en· W2138335145 on OpenAlexaboutno aff
Maher Kooli, Jean‐Marc Suret

Bibliographic record

VenueRePEc: Research Papers in Economics · 2002
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicCapital Investment and Risk Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsInitial public offeringWelfare economicsEconomicsBusinessFinance
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to shed some light on the costs associated with initial public offerings (IPOs), and this is performed by undertaking a large sample of Canadian and United States IPOs. More specifically, we gather information in the universe of firm-commitment and best-effort IPOs in Canada and in the United States, from 1997 to 1999, and measure their direct and indirect costs. Overall, we are able to confirm that the Canadian market is superior to its U.S. counterpart in terms of IPO costs. In other words, do Canadian firms have access to equity capital on a competitive basis in comparison with U.S. firms. However, we confirm that the going public process is costly, particularly for small firms. L'objectif de cette etude est l'analyse des divers couts associes aux emissions initiales d'actions canadiennes. Elle repose sur l'analyse comparee d'echantillons importants d'emissions americaines et canadiennes. Nous avons etudie l'ensemble des emissions de la periode 1997-1999, et seules ont ete omises les emissions pour lesquelles l'information requise n'etait pas disponible. Les couts directs et indirects ont ete estimes. Le marche canadien presente un avantage net par rapport au marche americain en ce qui concerne les couts d'emission des entreprises de petite taille. Les couts sont semblables pour les emissions de grande taille. Dans les deux pays, le processus d'emission reste onereux, notamment pour les emissions d'un montant peu eleve mais nos resultats contredisent l'argument voulant qu'en raison de la structure provinciale de sa reglementation, le marche canadien soit moins attrayant que celui des Etats-Unis pour l'obtention de capital.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.048
GPT teacher head0.267
Teacher spread0.220 · 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 designNot applicable
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

Citations26
Published2002
Admission routes1
Has abstractyes

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