Measuring the effect of disclosure quality of integrated business reporting on the predictive power of accounting information and firm value
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
This paper measures the effect of disclosure quality of integrated business reports on the predictive power of accounting information and firms' value in the Egyptian Stock Market. In order to achieve the research objectives, the research relies on content analysis approach in examining the annual reports of the companies listed in the Egyptian Stock Exchange from 2015 to 2018. The study depends on measuring the independent variable i.e. disclosure quality of the integrated business reports on building up a disclosure index consisting of 45 items in 8 groups equally weighted, whereas; dependent variables which represents the predictive power of accounting information measured by adopting three different methodologies; namely Accounting Conservatism, Share Prices, and Discretionary Accruals. Concerning to firm value, the study uses Tobin's Q model to measure the relationship between the quality disclosure of the integrated business reports and the firm value. The results indicate that the quality disclosure of integrated business report leads to increase accounting conservatism and share prices, whereas the statistics analysis reports a negative effect towards discretionary accruals indicating that the quality disclosure of integrated business report leads to decrease in discretionary accruals.
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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 | 0.008 | 0.003 |
| 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 | 0.000 | 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