Behavioral Finance: An Application of Prospect Theory to Brazilian Investors
Bibliographic record
Abstract
Behavioral finance has stood out as an interdisciplinary field of study that seeks to understand psychological and behavioral influences on financial decisions. The study aims to investigate the behavior and profile of investors in a financial institution, to understand the associations between their individual characteristics and investment performance. The methodology used was a case study, applying Kahneman and Tversky’s theory of perspective. Field study used primary data collected through questionnaires, which allowed to collect direct investor information, while correlation and correspondence analysis provides a better understanding of the relationships between the studied variables. The application of perspective theory has allowed to analyze how investor’s perceptions and preferences influence their financial decisions. The results revealed that investors tend to avoid losses and seek financial security, even if it implies renouncing potential gains. Associations were identified between investment performance time, family income level, academic background and value of financial investments. The study allowed an understanding of financial decision-making and insights to raise the quality of customer service by financial institutions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".