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Enregistrement W7042222235

A Perilous Path to Financial Stability

2014· article· en· W7042222235 sur OpenAlexaboutno aff

Notice bibliographique

RevueeYLS (Yale Law School) · 2014
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueBanking stability, regulation, efficiency
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSystemic riskToo big to failGovernment (linguistics)AccountabilityFinancial stabilityFinancial institutionCapital (architecture)Financial regulationInstitution
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the wake of the financial crisis, one of the rare areas of relative consensus was that systemic risk played a role in exacerbating instability in the banking sector and capital markets. To combat this threat, the federal government created the Financial Stability Oversight Council (FSOC) which is now one of the most significant and widely criticized aspects of the 2010 Dodd-Frank Act. FSOC is broadly tasked with aggregating information from several federal agencies to assess and mitigate systemic financial risks. However, a recent report by the Government Accountability Office (GAO) found that FSOC might still be uninformed “about critical vulnerabilities in the financial system.” “Systemic risk” is a complex and somewhat amorphous term, but can be likened to a broader manifestation of the traditional bank run, where depositors flee a specific institution because of concerns over its solvency. Whereas bank runs are largely mitigated through Federal Deposit Insurance, systemic risk impacts both regulated and ‘shadow banking’ systems – institutions encompassing $14.04 trillion of assets that arguably perform banking functions, but are not subject to the same regulations – and thus, cannot be resolved through deposit insurance alone, prompting FSOC’s creation as the “first-ever systemic regulator.” FSOC operates as a coordinating forum – essentially, a mandatory set of processes, best practices, and research functions – for the nation’s 15 primary financial regulatory bodies, and is organized in a hub-and-spoke model chaired by the Secretary of the Treasury. FSOC’s mandated objectives are: identifying systemic financial risks, eliminating unique dangers posed by highly interconnected – ‘too big to fail’ – institutions, and maintaining financial stability. According to Professor Zvi Eckstein – the former Deputy Governor of the Bank of Israel and currently a Visiting Professor at the University of Pennsylvania’s Wharton School – in practice, FSOC’s role encompasses supervision of traditional financial institutions, oversight of “shadow banks,” and cooperation with other nations’ regulators. The GAO’s report analyzes progress made by FSOC since the GAO issued a previous set of recommendations, and ultimately identifies three key sets of issues. First, the GAO critiques FSOC’s internal processes and technological infrastructure, claiming that they are inadequate for its objectives. For example, the GAO found FSOC’s improvements in identifying emerging systemic threats through its Systemic Risk Committee to be insufficient due to over-reliance on individual member agencies’ unilateral identification of risks. Further, FSOC decided not to publicly disseminate its assessments of financial risks – information that the GAO felt policy makers and market participants “need to develop effective and timely responses to those threats.” Second, the GAO was unsatisfied with FSOC’s accountability and transparency, paralleling the sentiment of some lawmakers and commentators. In particular, the report critiqued FSOC’s framework for designating systemically significant financial institutions (SIFIs). SIFI designation enhances oversight by subjecting such firms to “stricter government regulations in risk-based capital, leverage and liquidity,” but also inherently imposes costs, that some argue unduly temper economic activity. The GAO noted that additional clarity regarding FSOC’s SIFI designation process could assuage market concerns without compromising the Council’s independent oversight. Finally, the GAO found that FSOC “could do more” to improve longstanding issues of inter-agency collaboration and coordination. FSOC’s complex power-sharing structure among numerous “independent agencies that retain existing authorities” inherently creates some tension, which may even be positive. However, the structure has resulted in jurisdictional conflicts, potentially hampering both the independence of member agencies and FSOC’s operational effectiveness. Notably, prior to the enactment of Dodd-Frank, the U.S. Department of the Treasury submitted a proposal for regulatory reform that attempted to sidestep concerns over chronic infighting among regulatory agencies. Most importantly, the proposal empowered the Federal Reserve to act as the single market stability regulator – an approach similar to that taken by other advanced economies, such as Australia, Israel, and Canada. Although the potential for excessive concentration of regulatory power may raise its own concerns, the Treasury’s initial recommendation helps illustrate the range of potential alternative approaches. Looking towards the future, Professor Eckstein noted that while FSOC has made “quite a lot of progress” in regulating traditional banks, oversight of non-traditional shadow banks has not yet been “tackled enough,” and international regulatory cooperation remains an ongoing effort.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,017
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,090

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,017
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0050,014
Communication savante0,0130,016
Science ouverte0,0010,008
Intégrité de la recherche0,0080,012
Charge utile insuffisante (le modèle a refusé de juger)0,0270,005

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 Opus0,017
Tête enseignante GPT0,220
Écart entre enseignants0,202 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
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

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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