Bibliographic record
Abstract
Mandatory disclosure of quarterly financial reports for publicly traded companies, in the majority of jurisdictions around the world, is the direct consequence of applying “timeliness” as presented in the Conceptual Framework for Financial Reporting (the conceptual framework) developed jointly in 2010 by the International Accounting Standards Board (IASB) and the Financial Accounting Standards Board (FASB). Having relevant information available sooner would improve its capacity to influence decisions. However, the interim reports are not required to be audited. In UAE, companies whose securities are listed on a securities and commodities market licensed by the Securities and Commodities Authority (SCA) are required to notify and provide interim financial reports, which are reviewed by the external auditor of the company. The objective of this paper is to analyze, in UAE, the volatility of the fourth-quarter earnings compared with the previous three. This study includes four years (2012-2015) of quarterly financial statements of firms listed in Dubai Financial Market (DFM). In order to determine if interim results are suspect, the paper analyzes the magnitude of differences in fourth quarter earnings and revenues relative to the first three quarters by using the Kiger’s 1974 methodology. Overall, results indicate that the volatility of earnings and revenue in the fourth quarter is significantly higher than those of the first three quarters. This main finding would be explained by the necessary adjustments to the fourth quarter earnings and revenues in order to correct the estimation. In fact, the quarterly financial statements require the use of more estimates than those prepared at the end of the fiscal year. This research would contribute to better understanding the quality of interim reports in an emerging market context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.026 |
| 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 | 0.001 |
| 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 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".