The Wealth Effects of Reducing Private Placement Resale Restrictions
Bibliographic record
Abstract
Abstract Recently, the US Securities and Exchange Commission reduced resale restrictions on Rule 144 private placements from 12 months to 6 months with the intention of lowering the cost of equity capital for issuing firms. In Canada, similar regulatory changes were adopted several years ago, providing a unique opportunity to test the wealth effects of reducing private placement resale restrictions. We find that shortening resale restrictions reduces the liquidity portion of offer price discounts, and thus lowers the cost of equity capital for issuing firms, but has no significant effect on announcement‐period abnormal returns after controlling for issuer type. However, there is a fundamental shift in the types of firms making private placements of common stock after the legislation‐induced easing of resale restrictions. Specifically, we find that smaller firms and firms with greater information asymmetry are less likely to issue privately placed common stock after the legislative change, suggesting that the easing of resale restrictions reduces the costly signal that helps to overcome the Myers and Majluf (1984) underinvestment problem.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".