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Enregistrement W3198736480 · doi:10.55016/ojs/sppp.v7i1.42491

Muddling up the Market: New Exempt- Market Regulations may do more Harm than Good to the Integrity of Markets

2014· article· en· W3198736480 sur OpenAlexaffabout
Jack Mintz

Notice bibliographique

RevueThe School of Public Policy Publications · 2014
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueTaxation and Legal Issues
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésHarmBusinessAccountingLawPolitical science

Résumé

récupéré en direct d'OpenAlex

From private debt and equity markets to crowd funding, exempt markets have been used to raise more money for Canadian enterprises in recent years than all public offerings put together. Vastly more: Between 2010 and 2012, exempt-market offerings raised four times as much capital as the initial and secondary public offerings during the same period. The precise reasons behind the immense popularity of exempt markets can only be guessed at; it may well be due to the desire, by both issuers and by investors, to avoid the regulatory costs associated with raising capital in public markets. We are left to speculate, however, because the Canadian exempt market remains relatively unstudied, despite its enormous role in funding capital investments in Canada. The lack of information about exempt markets, however, is not stopping provincial regulators in Canada’s largest markets from charging ahead with new proposals for rules that would govern exempt markets. Unfortunately, with so little information available about these markets, whatever the aim of the reforms in pursuing the goals of effective market regulation, they may end up being more harmful than helpful. Ontario is proposing to broaden the category of investors eligible to participate in these markets under a new exemption. But the category will remain stricter than in many other markets and Ontario proposes to also put very low limits on how much each investor is allowed to put at risk. Quebec, Alberta and Saskatchewan are also proposing the same $30,000 limit for any given 12-month period. And Ontario will prohibit the sale of exemptmarket securities by agents that are related to, or affiliated with, the registrant, even if measures are employed that have previously been accepted in managing and mitigating conflicts of interest. This will have a direct and damaging impact on exempt-market dealers, who are only allowed to sell exempt-market securities. All of these proposals are intended to protect investors from the higher risks that are presumed of exempt markets. However, there is no evidence — given the paucity of information about them — that exempt markets necessarily pose a greater risk of fraud or poorer returns and losses than do heavily regulated public markets. And if risk is indeed higher in the exempt markets, one would expect these proposed regulations to assist highquality firms from distinguishing themselves in the exempt market from low-quality firms. However, these regulations may actually have the opposite effect, making it harder for better-quality firms to signal their worthiness to investors. Canadian productivity — which continues to lag relative to other developed economies — relies heavily on businesses being able to acquire capital for investing in new technologies. Canadian companies and investors appear to be voting with their feet for exempt markets in raising that capital, possibly discouraged from public markets by regulatory costs and inefficiencies. For policy-makers to layer additional regulation on top of exempt markets without fully understanding the impact that it will have, could well result in making Canadian markets, and Canada’s economy, weaker, rather than stronger.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,009
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,927
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,009
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0020,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,040
Tête enseignante GPT0,301
Écart entre enseignants0,261 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2014
Routes d'admission2
Résumé présentoui

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