Institutional investors’ response to improved corporate governance: Evidence from the brazilian capital market
Bibliographic record
Abstract
This study examines whether normative pressures from stock market regulators to improve the governance quality of Brazilian listed firms influence the participation and activism of institutional investors. More specifically, we investigate the association between institutional investor’s ownership and firm’s voluntary adhesion to the São Paulo Stock Exchange (B3) differentiated levels of corporate governance quality. Empirical testing is performed on a ten-year (2002–2011) panel data set from a sample of 439 firms listed on the B3. Our findings suggest that firms in differentiated corporate governance levels, that is, with better level of transparency and commitment to monitoring, are more attractive to institutional investors. We interpret this result as evidence supporting the shareholder activism movement, attributed by several scholars to institutional shareholders. Our study contributes to the governance literature on the firm’s response to normative pressures and the ability of internal governance mechanisms to signal lower agency cost to capital market. Our evidence also contributes to the ongoing discussion about the role and influence of institutional investors in the functioning of capital markets, and more specific in emerging market like Brazil.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one source (direct Gemma or distilled Codex), 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".