A Comparative Law Analysis of Private Securities Litigation in the Wake of <em>Morrison v. National Australia Bank</em>
Bibliographic record
Abstract
This article examines the recent Supreme Court decision in Morrison v. National Australia Bank and its broad implications for private securities litigants going forward. Morrison overturned forty years of jurisprudence when it rejected the conduct and effects tests used in some form by every Circuit Court when determining the extraterritorial reach of Section 10(b) of the Securities Act. The Court instead adopted a transactional test requiring that the security be traded in the United States or otherwise domestic, substantially cutting back the reach of Section 10(b). As a result, many securities litigants will be forced to bring claims in the country in which the security originated. To fully explore the broad implications of Morrison, this article engages a comparative law analysis to gauge the ability of these investors to bring private securities claims in these foreign jurisdictions. Specifically, this article examines securities laws, as well as rules surrounding group litigation, in Australia, China, United Kingdom, and Canada. This article concludes by recommending a tweak in the current U.S. regulatory regime to strike a better balance towards achieving optimum investor protection, while still promoting efficient capital markets.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".