Earnings management and managerial compensation in Nigerian manufacturing firms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The growing convolution of industries and the need for corporate business survival has created a cognizance dilemma on the nexus of earnings management and managerial compensation paradigm, especially in developing nations. Hence, this paper sought to examine the nexus of earnings management and managerial compensation in Nigerian manufacturing firms. The study collected panel data from audited annual financial reports of six selected manufacturing firms listed in the Nigeria Stock Exchange, covering the period from, 2012-2019. The data were analyzed using descriptive statistics, correlation and Panel Regression Model. The findings indicate that earnings management is a significant determinant of managerial remuneration. Therefore, the study concludes that managing earnings of firms has a positive significant relationship with executive remuneration, and as such compensation should be tied to performance of the firm in real values.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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