Market Response to Earnings Surprises Conditional on Reasons for an Auditor Change*
Bibliographic record
Abstract
Abstract Our interest in this study is the relative informativeness of earnings announcements reported before and after Form 8‐K disclosures of the reason for an auditor change. We appeal to several models that predict that the market's response to an earnings surprise is positively related to the perceived precision of the earnings report. We predict that the Form 8‐K reason disclosures aid investors in updating their expectations of earnings precision by providing useful information about the financial reporting process that produces the earnings report. For 802 auditor changes from late 1991 through late 1997, the average price response per unit of earnings surprise is lower subsequent to an auditor change for companies that switched for disagreement‐related or fee‐related reasons and higher for those that switched for service‐related reasons. This paper provides further evidence on the effects of differential earnings quality on differences in the returns‐earnings relation across companies and over time as well as the efficacy of Form 8‐K disclosures of reasons for auditor changes.
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 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 | 0.008 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".