Modelos de valor presente sob a hipótese de eficiência no mercado acionário brasileiro
Bibliographic record
Abstract
Este trabalho testa o modelo de valor presente (MVP) da razão dividendo-preço de ações baseado no crescimento de dividendos futuros descontado a taxas de retornos constante e variável. Os dados são analisados no período do 1º trimestre de 1995 ao 4º trimestre de 2005 para o índice Bovespa e um índice ponderado pela capitalização de mercado das empresas brasileiras. Apesar do MVP, à taxa de retorno constante ser rejeitado, os testes do MVP, à taxa de retorno variável no tempo apresentam resultados que confirmam uma igualdade estatística entre o spread teórico e o spread observado, evidenciando a possibilidade de compatibilizar previsibilidade de retornos com a existência de um mercado eficiente sob um contexto de expectativas racionais.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".