Testing the Transparency Implications of Mandatory IFRS Adoption: The Spread/Maturity Relation of Credit Default Swaps
Bibliographic record
Abstract
This study tests whether international financial reporting standards (IFRS) adoption increased accounting transparency based on model-driven hypotheses. Duffie and Lando [Duffie D, Lando D (2001) Term structures of credit spreads with incomplete accounting information. Econometrica 69(3):633–644] show that changes to accounting transparency affect the spread/maturity relation of credit default swap (CDS) instruments in very specific ways. Consistent with their model, we find that CDS spreads are lower across maturities following the adoption of IFRS, and the slope and concavity of the CDS spread/maturity relation are higher. These changes did not occur to the spread/maturity relation of a control sample of CDS instruments. Predicted changes apply more intensely to firms with low pre-IFRS transparency. Overall, this study provides strong evidence that IFRS adoption increased accounting transparency. This paper was accepted by Mary Barth, accounting.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".