Insider reporting obligations and options backdating
Bibliographic record
Abstract
In April 2010, new rules governing the reporting of securities trades by insiders of reporting issuers came into effect in Canada. These new rules were embodied in National Instrument 55-104, and in contemporaneous harmonized changes to Ontario’s Securities Act. Under the new regime, the deadline for filing insider reports has been shortened, from ten calendar days to five calendar days following a purchase or sale. When a draft of National Instrument 55-104 was first published for comment, the Canadian Securities Administrators linked this proposed timing change, among other things, to the practice of improper stock options backdating. The suggestion that insider reporting obligations might deter the practice of options backdating is intriguing. Insider reporting rules have historically been regarded primarily as a regulatory tool to detect or prevent the improper use of inside information by insiders of reporting issuers. For these requirements to perform an effective secondary role in combating improper options backdating, clear rules on the timing of reporting obligations and rigorous enforcement would be required. It is not clear that the administration and enforcement of current Canadian insider reporting rules, crafted with very different objectives in mind, provide an effective deterrent to improper options backdating. A review of the current rules and the mechanisms for their enforcement, together with a comparison with insider reporting regimes in other selected jurisdictions, reveals weaknesses in the Canadian approach and suggests ways in which the Canadian regime could be enhanced to deter or detect options backdating.
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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 | 0.014 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".