The effect of earnings management through assets sales on Canadian stocks
Why this work is in the frame
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Bibliographic record
Abstract
This paper tests the earnings-smoothing and the debt-equity hypotheses using a sample of Canadian firms engaging in sales of long-lived assets and investments assets. findings show there is a negative relationship between income from asset sales and change in earnings per share exclusive of income from asset sales, as well as a positive relationship between leverage (proxied by debt-equity ratio) and income from asset sales. Yet, Canadian firms also report zero income or losses more often than gains as opposed to mostly gains from such sales reported by US firms, suggesting that they may be using asset sales proceeds for other corporate governance-related reasons than earnings smoothing, including Canadian tax policies (when selling fixed-assets), liquidity needs, avoidance of debt covenants violation, and level of management bonus plans. We also notice some differences between Canadian firms and their US counterparts that may explain some differences in their results.
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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 | 0.001 |
| 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 | 0.000 |
| 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 it