Notice bibliographique
Résumé
W asked recently what I am writing about in this series of articles, I explained that each of the last few articles has outlined how the individual investor can apply one step of the six-step investment management consulting (IMC) process in their own portfolio. My colleague was surprised because it is typically affluent institutional or pension fund clients, known to be methodical – almost clinical – in their approach toward money management, who make use of the IMC process. He laughed and asked why an individual investor would want to read a bunch of industry-specific rhetoric on an investment process developed for pension plans. “Why don’t you write on current events and more topical issues of interest? Besides, if they learn these steps and procedures, your readers might not come to us for any further investment advice and counsel.” In retrospect, I must concede that these are good questions, and ones that you may be asking yourself as you read this last article in the series. In my first article in this series (1), I introduced the notion that “the most effective way to circumvent the common mistakes made by an affluent investor is first to establish a prudent process or strategy and then stick with it.” Even the most sophisticated and experienced investors fall prey to common, needless mistakes, but many of these mistakes can be avoided for a more desirable outcome when clearly defined objectives are laid out and a proven process is put into action. Well aware that any investor must navigate through a myriad of decisions to reap the rewards of investing, I introduced the six steps of the IMC process as a framework and theoretical foundation that any investor can use for this purpose. One common mistake is conducting a search for professional money managers to invest your portfolio without first having written an investment plan, or ‘investment policy statement’ (IPS). I have seen investors exert far too much time and energy searching for the money managers who have the best performance numbers without first considering whether that manager’s mandate or style is even appropriate for their portfolio. How will last year’s best performing small capitalization stock manager further your financial well being if your goals and objectives dictate that you should not even consider holding ‘small-cap’ stocks in the first place? Not having determined precisely what asset allocation will best support an investor’s goals and objectives may result in investing too heavily in one asset class purely because of that investor’s familiarity with that type of asset. As we near the end of our odyssey through the IMC process, the four steps we have covered in previous issues are summarized as follows.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,000 |
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.
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 tête enseignante, 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 ».