Are Risk Factor Disclosures Still Relevant? Evidence from Market Reactions to Risk Factor Disclosures Before and After the Financial Crisis
Bibliographic record
Abstract
ABSTRACT The SEC's Disclosure Effectiveness Initiative (December 2013) highlights a difference between accounting regulators and academics in their perceptions of Item 1A risk factor disclosure effectiveness. Because most academic evidence relies on pre‐financial crisis data, we compare changes in risk factor disclosure informativeness before and after the crisis as a possible explanation for this disconnect. We further explore this discrepancy by considering (i) three classes of market participants, (ii) new, discontinued, and repeated disclosures, and (iii) nonmarket outcomes. Our results confirm previous findings but indicate that those results no longer hold in the subsequent period. Specifically, we find that although equity, option, and bond markets react to unexpected risk factor disclosures in the period leading up to the financial crisis (2006–2008), the market reactions decline significantly in the post‐crisis period (2009–2014). Perhaps surprisingly, the documented changes in informativeness are not driven by disclosures repeated from one year to the next but instead result from new disclosures initiated in the current year and, in the option and debt markets, also from disclosures discontinued from the previous year. Finally, using the Altman Z ‐score as an objective bankruptcy risk measure, we find that the association between risk factor disclosures and companies’ future bankruptcy risk declines significantly in the post financial crisis period. Taken together, these findings contribute to the current disclosure effectiveness debate by highlighting that risk factor disclosures, which were informative in the preceding period, become less reflective of the underlying economic risks and thus less informative to investors in the post‐crisis period. La déclaration des facteurs de risque est‐elle toujours pertinente ? Données tirées des réactions du marché à la déclaration des facteurs de risque avant et après la crise financière
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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 | 0.006 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".