Disminución en el ciclo de liquidación y la liquidez en la Bolsa de Valores de Lima
Bibliographic record
Abstract
Mi experiencia laboral se ha desarrollado en el Grupo BVL (GBVL), iniciando como practicante de desarrollo de proyectos en su subsidiaria Bolsa de Valores de Lima (BVL), apoyando en la elaboración de reportes e informes de potenciales productos financieros y negocios. Posterior a ello, pasé a ser ejecutivo junior de servicios internacionales en el Registro Central de Valores y Liquidaciones (CAVALI) trabajando en temas relacionados a la custodia, compensación y liquidación de los valores internacionales en los depósitos de Depository Trust & Clearing Corporation (DTCC) y The Canadian Depository for Securities (CDS). En este informe se evaluará si es necesario que el mercado peruano se prepare para el nuevo ciclo de liquidación T+1. Para aquello se evaluará si la reducción en el ciclo de liquidación peruano de T+3 a T+2 ha tenido un efecto positivo en la liquidez de las operaciones de rueda efectivo de la Bolsa de Valores de Lima.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".