Getting Financial Regulations Right: Avoiding Unintended Effects
Notice bibliographique
Résumé
Canada’s financial system made it through the 2008 global financial crisis better than many other economies did, but Canadian regulators nonetheless hastened to introduce a spate of new regulations to increase financial stability. However, all new regulations create effects, intended and unintended, and the process in Canada for assessing the impact of new regulations is not as useful as it could be. This could lead to regulations having unforeseen and unwanted effects on efficiency and investor protection, even if stability is improved. Such unwelcome effects might be minimized with a system that better assesses impacts both before and after new regulations are enacted. While Canada’s regulatory-impact analysis system is relatively less burdensome than that of the EU, which has adopted an elaborate process to ensure full transparency in its consultation with stakeholders, with that lack of burden comes a much higher risk of unnecessarily increased compliance and administrative costs. Since regulatory changes necessarily lead to uncertainty in markets, the lack of transparency in the Canadian system is also cause for concern. Chief risk officers tend to rank inconsistent regulation as the most prominent risk factor, far higher than any other, yet Canada does not rank very well in an OECD evaluation of regulatory-impact analysis systems compared to, for instance, the U.K. In addition, the lack of transparency, particularly at the federal level, heightens the risk of “regulatory capture,” which can harm individual and business consumers of financial services as well as smaller firms. While the sort of lengthy and costly regulatory reviews required by the U.S. and EU could prove counterproductive, there are issues in the Canadian system that could be improved without going that far. For instance, the Canadian system offers a much shorter time frame for stakeholder consultations, which could feasibly be remedied without adding undue cost or complexity to the system. Canada’s system tends also to focus on the effects of regulation on large institutions, without enough regard for smaller firms, where costs of compliance and administration are usually higher, potentially decreasing competition in the financial sector. At the provincial level there tends to be less accommodation for public input before new regulations are implemented. Once regulations are in place, the Canadian system does not require a thorough assessment of the subsequent (or ex post) impacts. A better regulatory-impact assessment system in Canada is achievable without becoming overly burdensome. Beginning with a statement of clear objectives and outcomes for a proposed regulation, an improved system would then provide a clear set of measurements by which the regulation’s success will be evaluated, both before and after it is enacted. A white paper with regulatory proposals (rather than draft rules) issued to stakeholders followed by consultation with all parties to determine whether there are other options, besides the proposal, and to better assess the costs of the changed regulation, would minimize the possibility of implementing a suboptimal (or worse, damaging) regulatory change. Finally, meaningful transparency throughout the entire process so that all parties can see the entire process as well as its results will help protect against regulatory capture, would encourage participation from all those potentially affected by a rule change, and would help everyone involved appreciate the intended benefits of the proposed regulation. It is also important for purposes of transparency to republish after a new regulation is implemented the original objectives, the measurements and the evaluation research. Canada’s reputation for having a stable financial system is not enough; it is important, given the post-crisis pressures for regulatory reform, that the system also maintains efficiency and fairness.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».