Bibliographic record
Abstract
Taking the developing Egyptian market as its focal point, the aim of this research is to contribute to the earnings management literature. Due to the limited data available for the Egyptian market, this research examines earnings management based on the entire operating performance of companies. In particular, the question of whether ineffectively performing Egyptian companies engage in upward earnings management by devising and applying income-increasing policies was investigated. For the purpose of testing for income-increasing accruals, we examine whether discretionary accruals are greater for ineffectively performing firms than for effectively performing firms. The results show that ineffectively performing Egyptian companies are characterized by positive and considerably greater discretionary accruals when comparatively examined against effectively performing companies. A reasonable interpretation of these results is that ineffectively performing companies engage in earnings management practices, with the most likely mechanism being an opportunistic increase in their reported earnings. Overall, the findings of this study show that operating performance is a critical determinant of earnings management. In terms of the implications of these findings, it is necessary for officials within the Egyptian government to enhance the country's corporate governance processes, especially in view of the limitations surrounding law enforcement and investor safeguards.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".