Estructuración de portafolios de inversión en el mercado integrado latinoamericano (mila) para tres escenarios de riesgo (conservador, moderado y agresivo) [recurso electrónico]
Bibliographic record
Abstract
El Mercado Integrado Latinoamericano es un mercado regional creado por las bolsas de valores de los países de Chile, Colombia y Perú. Dicho mercado ofrece un sin número de oportunidades a los inversionistas e intermediarios para la compra de títulos de renta variable en cualquiera de las tres plazas bursátiles. El propósito de este trabajo es la conformación de un portafolio de inversión en renta variable que, bajo los estudios de Markowitz (1952), se pretenderá realizar para tres perfiles de riesgo. Se tendrán en cuenta las herramientas tradicionales para la conformación de un portafolio como lo son las fronteras eficientes, el riesgo, la varianza, la covarianza y demás herramientas matemáticas enfocadas en la realización y conformación de una cartera. Finalmente se utilizaran algunos ratios que permitirán evaluar el desempeño de los portafolios conformados
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; a candidate call from one teacher head, not a consensus.
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".