Bibliographic record
Abstract
Abstract This paper uses stock market data to investigate the popular claim that investors are misled by the “pro forma” earnings numbers conspicuously featured in the press releases of some U.S. firms. We first document the frequency and magnitude of pro forma earnings in press releases issued during June through August 2000, and describe the 433 firms that engaged in this financial disclosure strategy. Our test period predates public expressions of concern by trade associations and regulators that pro forma earnings may mislead investors and the subsequent issuance of guidelines and rules on the disclosure of pro forma earnings numbers. We use two complementary approaches to determine whether the share prices that investors assign to pro forma firms are systematically higher than the prices assigned to other firms. Our market‐multiples tests for differences in price levels find some evidence suggesting that pro forma firms may be priced higher than firms that do not use the disclosure strategy. This apparent overpricing is not, however, related to the pro forma earnings numbers themselves. Our narrow‐window stock returns tests reveal no evidence of a stock return premium for pro forma firms at the quarterly earnings announcement date. Collectively, the results cast doubt on the notion that investors are, on average, misled by pro forma earnings disclosures despite the widespread concern expressed in the financial press and by regulators.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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".