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Record W4394140877 · doi:10.6084/m9.figshare.11756997

Decrease in the Value Relevance of Accounting Information in Electric Distributors after the Brazilian IFRS adoption

2020· dataset· en· W4394140877 on OpenAlexaboutno aff
Eduardo Flores, Alexsandro Broédel Lopes

Bibliographic record

VenueFigshare · 2020
Typedataset
Languageen
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRelevance (law)AccountingBusinessValue (mathematics)Accounting information systemStatisticsPolitical scienceMathematics

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.046
GPT teacher head0.311
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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