Decrease in the Value Relevance of Accounting Information in Electric Distributors after the Brazilian IFRS adoption
Bibliographic record
Abstract
Abstract Purpose: The present study evaluated whether there were reductions in the relevance of the accounting information of Brazilian energy distributors in the post-IFRS period. Design/methodology/approach: The rationale for such a conjecture stems from the fact that after the adoption of international accounting standards, energy distributors were unable to register regulatory assets and liabilities concerning their activities. Besides, the same hypothesis was also evaluated for Canadian electricity incumbents. The inclusion of the Canadian companies in this study was the result of the permission given by the IASB, through IFRS 14, so that adopters of international standards from 2015, could continue to register the regulatory items. Findings: Using a value relevance model it was possible to conclude that there was a reduction in the relevance of the accounting information in the Brazilian case and that this decrease is very potentially related to the write-off of regulatory assets after IFRS. It was also observed that the same effect did not occur in the Canadian companies after the adoption of this normative set. It was also verified that before the IFRS, both the regulatory assets of Brazilian companies and of Canadian firms, were from the statistical perspective also incorporated into the market value of the companies analyzed, denoting similar behavior on the part of investors. Originality/value: That is, although the economies of these jurisdictions are distinct, investors incorporated such accounting assets into stock prices because they could potentially verify realization rates on such items. Thus, it is concluded that the adoption of international standards did not benefit Brazilian energy distributors by distancing the book value from their market value.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".