Notice bibliographique
Résumé
EXCHANGE-TRADED FUNDS 167 A round the world, exchange-traded funds have captured the interest of investment managers and exchanges. Both the number of products and places where they can be found has expanded tremendously in 2001 alone. Investors have much to learn about the investment opportunities of ETFs. Even in the U.S., where ETFs have been available since 1993, and where equity investing, especially passive investing is an accepted investment style, the retail investor is only just beginning to use ETFs. Far and away, the U.S. leads the ETF global market. Of the almost $90 billion invested globally, the U.S. share is 84.0%. Asia has a 7.6% share, Canada 4.3%, and Europe 3.5%. Average value traded shows an even stronger U.S. dominance, with approximately $4.2 billion traded daily, or 92.0% of global activity. Most of this trading comes from the QQQ, or Nasdaq-100 Tracking Stock, with an average value traded of $2.3 billion; $1.3 billion is traded for the Standard & Poor’s Depositary Receipts, or SPDRs (SPY). Europe, Asia, and Canada see approximately $174 million, $157 million, and $33 million, respectively, traded daily. The U.S. has had much more time to build assets, while other markets, especially Europe, have had to overcome regulatory, tax, and distribution hurdles. In Japan, securities laws had to be changed before ETFs could be introduced, and even then ETFs on only four local indexes are offered. In Europe, the seven exchanges and many more ruling authorities have significantly increased product development and marketing time and costs, but the same product will be cross-listed on many exchanges. For example, there are currently eight versions of a Dow Jones Euro STOXX 50 ETF, and more are planned. Some of these, like the Merrill Lynch (LDRS) products, are fully fungible across five exchanges. How multiple versions diminish liquidity, if they do, remains to be seen. Exchanges themselves are often the driving force behind multiple listings. The American Stock Exchange currently has agreements with the Singapore Exchange, EuroNext, and the Tokyo Stock Exchange. The thinking is that local investors are more likely to grow products on local indexes, and then foreigners can leverage that liquidity. The concept is the same whether a U.S. investor is investing in a CAC 40-based product or whether Singapore investors are investing in an S&P-500 based product. Multiple time zones also expand trading periods. Currency issues and regulatory differences may complicate cross-regional listings, yet many industry experts agree that 24-hour trading of selected ETFs will happen in less than three years. The future of ETF development looks bright. Launches of new ETFs or expansion of current ETFs to new places and inaugurations by exchanges offering ETFs for the first time will continue at a strong pace. More Global Survey of Exchange-Traded Funds
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 | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,014 | 0,024 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,007 |
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 ».