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Record W1856184527 · doi:10.7202/601220ar

Les taux de commission sur les transactions boursières au Canada : Acte II

2009· article· en· W1856184527 on OpenAlexaffvenueabout
Jacques Saint-Pierre

Bibliographic record

VenueL Actualité économique · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCommissionStock exchangeDatabase transactionDeregulationEconomicsBusinessFinanceMarket economy

Abstract

fetched live from OpenAlex

This is the second part of a study about what could be called an economic play or drama: the deregulation of commission rates on stock exchange transactions. This article presents an economic analysis of the long-standing policy in Canada of charging minimum commission on stock transaction. The discussion draws heavily on the arguments put forward by the Montreal Exchange as a part of its recent ongoing defense of fixed commission. The arguments fall into three categories: (1) the economic approach to the analysis of the brokerage business (uncertainty in product quality) (2) the information produce by the brokerage industry are public goods because of externalities and (3) the structure of the brokerage industry. According to the Exchange's logic, the elimination of the practice of price fixing would lead to a less efficient capital market because of the reduction in the production of information and to an increase in the concentration in the brokerage business. The analysis presented in this article leads to the conclusion that the Exchange's case is faulty in terms of both its theory and its empirical proofs and that minimum commission rates on stock exchange transactions cannot be justified on economic grounds.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.094
GPT teacher head0.281
Teacher spread0.188 · 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 designOther design
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
Published2009
Admission routes3
Has abstractyes

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