Mandated Recognition of Employee Stock Option Expense – The Case of <scp>C</scp>anada
Bibliographic record
Abstract
Abstract On December 18, 2003 the Accounting Standards Board of Canada announced that all firms registered in Canada would be required to expense stock options‐based compensation effective January 1, 2004. While a few firms had voluntarily opted to expense stock options prior to this date, the vast majority of firms had not. This study investigates the market reaction to this announcement by listed firms in the Toronto Stock Exchange that continued to disclose option expense rather than report it in the financial statement. We find no average market reaction by our sample firms affected by this mandate around the announcement date, but a significantly negative market reaction during the 5‐day window around the issuance date of the exposure draft. However, in cross‐sectional tests around the mandated expense announcement date, we find a significant negative relationship between the cumulative abnormal returns and the Black–Scholes value (and number) of options outstanding and of options granted the previous year. These results suggest that the magnitude of the market reaction to the mandated expense announcement is related to the firm's usage of options. Our results provide further evidence that stock prices may not fully impound information disclosed in footnotes.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".