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Enregistrement W2960369006 · doi:10.22495/jgr_v4_i4_c1_p8

From trial to triumph: How Canada’s past financial crises helped shape a superior regulatory system

2015· article· en· W2960369006 sur OpenAlexaboutno aff
Lawrie Savage

Notice bibliographique

RevueJournal of Governance and Regulation · 2015
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCanadian Policy and Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFinancial crisisFinancial regulationDeposit insuranceGlobal financial systemFinancial systemSystemic riskFinanceShock (circulatory)BusinessEconomicsFinancial market

Résumé

récupéré en direct d'OpenAlex

As anyone paying attention during the 2008–2009 financial crisis is aware, the Canadian financial system weathered the storm uniquely well. Exactly why Canada’s system remained so comparatively stable, while so many other foreign systems broke down, is a question that remains largely unsettled. One explanation may be that the regulatory system that emerged from a very specific history of prior crises had both prepared Canada well for such a crisis, and responded effectively as the crisis unfolded. But the very regulatory system that provided stability in recent years may also be at risk of becoming warped by its own success, with regulators so emboldened by the acclaim for their recent achievements that they overreach to ensure their track record remains unblemished in the future. The stunning collapse of a pair of western Canadian banks, a number of major Canadian trust companies and several insurance companies, as well as some other precarious near misses in the 1980s and 1990s, were a shock to the financial regulatory system, highlighting deficiencies that would be addressed with new regulations and, most notably, the creation of the Office of the Superintendent of Financial Institutions (OSFI). Canada’s centralized regulatory approach, through the OSFI and just four other major regulatory bodies, has proved both more elegant and effective than, for instance, the more complicated, more convoluted and more decentralized American financial-oversight system. But some regulated companies, insurers in particular, have long maintained that the concentration of power in Canada’s large banks has resulted in a one-size-fits-all regulatory approach that does not offer a relatively lighter burden for smaller institutions, potentially stifling growth. In other words, an over-emphasis on stability may be hampering market efficiency. Nor is there any economic evidence to shed light on whether those and other costs of regulating stability are justified by the costs spared by avoiding instability. Received wisdom would naturally assume that avoiding certain institutional collapses are worth any cost, but of course there must be some limits to that logic. To be clear, Canada’s regulatory model almost certainly appears to be a better-functioning one than that of many in its peer group, and the OSFI approach is gaining acceptance by many countries, particularly in emerging markets that are implementing cohesive regulatory systems for the first time, using the Canadian framework as a template. This does not, however, mean that Canada’s regulatory system cannot still be refined and improved. Suggestions for improvement include: the possibility of creating an industry-based collaboration committee — similar to the regulators’ Financial Institutions Supervisory Committee — that would monitor industry risk over time; the modernization of the Winding-up and Restructuring Act, conceived more than a century ago, to address the modern reality of immense and complex institutions of today, providing regulators the flexibility to resolve such entities when they become troubled; and the strengthening of board structures for large institutions, which remain much as they were in the 1980s, including the possibility of appointing permanent, full-time, independent directors and requirements for boards to better train directors and utilize outside expertise when warranted. Canada’s regulatory system is arguably one of the most effective in existence, but its success through the recent financial crisis is no guarantee that it will be sufficiently prepared for the next

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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,202
Score d'incertitude au seuil0,882

Scores Codex et Gemma par catégorie

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

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 Opus0,027
Tête enseignante GPT0,256
Écart entre enseignants0,230 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2015
Routes d'admission1
Résumé présentoui

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