Impact of Changes in Accounting Standards in Debt Ratios of Firms: Evidence in Brazil
Bibliographic record
Abstract
This research investigates the impact of changes in debt ratios of Brazilian firms due to the IFRS adoption. We make a comparison between the forecast of the time-series of debt ratios accounted until 2007 for the span from 2008 to the first quarter of 2015 with those effectively accounted from 2008 to the first quarter of 2015 derived from the new accounting standard. The research utilizes SARIMAX model and Chow’s (1960) structural break forecast test, controlling for changes originating from the macroeconomic environment as well. We find evidence of significant changes in the debt ratio towards both higher and lower debt with predominance of greater ratios. This result is consistent with past literature in Europe, Australia and New Zealand. Nevertheless, we do not find evidence of a structural break in the Financial Dependency ratio. Moreover, there is no evidence of any distinct effects across different industries. The research provides new evidence confirming the informational effects of IFRS by utilizing a robust time-series model with macroeconomic controls in an innovative approach towards the accounting environment.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".