Tres arquetips d'inversors en els mercats de valors. Retorn a Keynes
Bibliographic record
Abstract
En aquest article veurem de quina manera J.M.Keynes havia caracteritzat els inversors. Comprovarem cóm la descripció de l’inversor correspon als problemes del mercat de valors descrits per John Maynard Keynes, que a més de ser un gran teòric de\nl’economia, fou un analista d’inversions, continuen plenament vigents avui en dia.\nEn la obra de Keynes es poden contemplar tres arquetips d’inversors: l’inversor\nmotivat per l’optimització del risc, l'empresari, i l’especulador intuïtiu. Aquestes\nmodalitats d’inversió es troben presents en el mercat de valors i es poden analitzar i\nsistematitzar teòricament.\nEl predomini d’aquestes modalitats d’inversió varia segons les èpoques. La\nbombolla financera és un exemple de predomini de l’inversor irracional i especulatiu.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".