Notice bibliographique
Résumé
International economic conditions are projected to have a favorable path in 2018. Thus, accelerating investment in infrastructure and real estate in China, as well as expectations of fiscal loosening in the United States, lead to an increased expectation for enhancement of global trade flows and to strengthen investor confidence. Instead, Britain's decision to leave the European Union, as well as political uncertainty in some euro-zone countries, may cause temporary distortions but also implications for economies in the european region. On the other hand, the divergence of the Federal Reserve and the European Central Bank's monetary policies, as the US expects further increases in interest rates, can be reflected in the activity of the government bond market as a result of the reorientation of investors to assets with higher yield, a trend amplified by the context of the economic environment with low interest rates. Recent developments in the field of financial technology innovation are an important challenge for conventional financial market (payment and settlement) infrastructures, especially in the context of multiple public and private initiatives and projects developed over the last few years. The digitization of financial services is an international concern due to the complexity of this phenomenon, and the lack of harmonized regulations and / or standards in the field. On the one hand, technological innovation in the field of payment systems has the potential to create a number of social benefits by improving access to financial services (financial inclusion). On the other hand, the integration of new technologies in the financial and banking field may imply additional information security risks, especially on payment and settlement systems. Financial technology innovation projects have also been developed by central banks in Europe, but also in America and Asia (for example in the UK, the Netherlands, Sweden, Canada, China and India). They target digital coin concepts, use in distributed real-time payment systems of blockchain technologology, artificial intelligence, and information security. However, a large number of economists admit that the current crisis has emphasized the overcoming of the limits of (mainstream economics) and its implications in the field of financial regulation and the sphere of monetary policy that should focus not only on price stability, but also on financial stability. In other words, the banks, the financial institutions must be obliged to hold a minimal countercyclical capital and mandatory reserves that should be large enough to cope with the turmoil generated by the decrease of the asset prices and the liquidity risk. In macro-prudential policy, the “shadow banking system” (investment banks, hedge funds, private equity funds) must also be included.Last but not least, the central banks have to cooperate with the other categories of systemic risk managers: Financial Stability Oversight Council-FSOC (USA), European Systemic Risk Board-ESRB (EU), Financial Policy Committee-FPC (Great Britain), National Committee for Financial Stability-CNSF (Romania).
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,005 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».