Persistence of quarterly earnings: an empirical investigation in Brazil
Why this work is in the frame
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Bibliographic record
Abstract
The aim of this paper is to estimate and analyze quarterly earnings persistence. In addition, we explore if earnings persistence varies across firms based on size and corporate governance standards. We first estimate the parameter revision of earnings and then we test the hypotheses that the parameter of earnings persistence is different for firms with different sizes (H1) and corporate governance standards (H2). We collect data from Brazilian listed firms with quarterly earnings per share available at Economatica database from last quarter of 1995 to first quarter 2011. Our results indicate that for most of the firms the earnings persistence is not significantly different from zero. The main implication of this result is that most of quarterly earnings innovation is transitory. In addition, the results support our first hypothesis indicating that larger firms present higher parameter of earnings persistence. The results also indicate that the parameter of earnings persistence is different for firms with different corporate governance standards, partially supporting our second hypothesis.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 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 it