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Record W2041750859 · doi:10.1111/1467-646x.00086

Canadian Manager Perceptions of the US Exchange Listings: Recent Evidence

2002· article· en· W2041750859 on OpenAlexaboutno aff
Carol Olson Houston, Roberta Ann Jones

Bibliographic record

VenueJournal of International Financial Management and Accounting · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsListing (finance)AccountingBusinessPerceptionStock exchangeSample (material)Stock (firearms)Actuarial scienceFinancePsychologyGeography

Abstract

fetched live from OpenAlex

This study reports recent evidence of Canadian manager perceptions of the benefits and costs of listing in US markets, their attitudes toward listing in the US market, and their opinions regarding the importance of using alternative reporting and disclosure requirements, such as Canadian GAAP or international standards, in lieu of US GAAP for US listings. Manager perceptions of firms listing in the US (“listers”) are compared to those of firms that have not listed in the US (“nonlisters”) as well as to listers’ perceptions collected prior to the implementation of the Multijurisdictional Disclosure System (MJDS). Our results do not unambiguously support expectations that implementation of the MJDS would result in cost savings for Canadian listers. We find strong similarities in the perceived benefits of listing as previously reported, but in a significantly higher proportion of our post–MJDS sample. Responses from listers and nonlisters reflect differences between the two populations. Listers appeared concerned with US GAAP reconciliations and disclosure requirements while non–listers are more concerned with the overall difficulty of listing, the costs of listing, and US litigation. Most strongly, however, nonlisters perceive it as unnecessary to list in the US market. Contrary to expectations, we find that US accounting disclosure and reporting requirements are not perceived to be barriers to US market entry for Canadian firms, but instead appear to be post–entry irritants. Finally, we also find evidence that perceptions of nonlisters differ between those firms that list on the Vancouver Stock Exchange and those that list on the Toronto Stock exchange. This suggests that future studies may require finer partitions than on a national basis.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.214
Teacher spread0.200 · 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

Citations6
Published2002
Admission routes1
Has abstractyes

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