TREND: International Monetary Fund. Currency Composition of Foreign Exchange Reserves (COFER): Currency Composition of Foreign Exchange Reserves (US Dollars) | Indicator: Total Foreign Exchange Reserves, 1995 - 2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 056-022-001
Notice bibliographique
Résumé
datasets.shared.infosheet.CitationMgr@83b Dataset: Data on the currency composition of official foreign exchange reserves (COFER) are reported in US dollars. Any type of financial instrument that is used to make payments between countries is considered foreign exchange. Examples of foreign exchange assets include foreign currency notes, deposits held in foreign banks, debt obligations of foreign governments and foreign banks, monetary gold, and SDRs. Unallocated Reserves is the difference between the total foreign exchange reserves in the International Financial Statistics (IFS) world table on Foreign Exchange and the total allocated reserves in COFER. It includes foreign exchange reserves of those countries/territories that currently do not report to COFER but whose total foreign exchange reserves are included in the IFS world table. The COFER database offers quarterly and annual data on the currency composition of official foreign exchange reserves reported in US dollars and as percentage of total foreign exchange reserves. As of December 2016, eight currencies are distinguished in COFER data: US dollar; euro; Chinese renminbi; Japanese yen; pound sterling; Australian dollar; Canadian dollar; and Swiss franc. All other currencies are included and indistinguishable in the category “other currencies.” COFER data are reported to the IMF on a voluntary and confidential basis. At present, there are 146 reporters, consisting of IMF member countries, a number of non-member countries/economies, and other entities holding foreign exchange reserves. COFER data are publicly disseminated on a quarterly frequency in aggregate format so as to safeguard individual country information. http://data.imf.org/?sk=E6A5F467-C14B-4AA8-9F6D-5A09EC4E62A4&sId=1408206195757 Category: International Relations and Trade Subject: Money, Assets, External Debt Source: International Monetary Fund Headquartered in Washington, DC, the International Monetary Fund (IMF) was conceived at a United Nations conference convened in Bretton Woods, New Hampshire, United States, in July 1944. The 44 governments represented at that conference sought to build a framework for economic cooperation that would avoid a repetition of the vicious circle of competitive devaluations that had contributed to the Great Depression of the 1930s. As of 2015, the IMF has 188 member countries. Its primary purpose is to ensure the stability of the international monetary system, specifically the system of exchange rates and international payments that enables countries (and their citizens) to transact with one other. This system is essential for promoting sustainable economic growth, increasing living standards, and reducing poverty. The Fund’s mandate has recently been clarified and updated to cover the full range of macroeconomic and financial sector issues that bear on global stability. The IMF is a specialized independent agency of the United Nations but has its own charter, governing structure, and finances. Its members are represented through a quota system broadly based on their relative size in the global economy. http://www.imf.org/
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,005 | 0,010 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,082 | 0,131 |
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 source (Gemma direct ou Codex distillé), 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 ».