Why Do Foreign Firms Leave U.S. Equity Markets?
Bibliographic record
Abstract
This paper investigates Securities and Exchange Commission (SEC) deregistrations by foreign firms from the time the Sarbanes-Oxley Act (SOX) was passed in 2002 through 2008. We test two theories, the bonding theory and the loss of competitiveness theory, to understand why foreign firms leave U.S. equity markets and how deregistration affects their shareholders. Firms that deregister grow more slowly, need less capital, and experience poor stock return performance prior to deregistration compared to other foreign firms listed in the U.S. that do not deregister. Until the SEC adopted Exchange Act Rule 12h-6 in 2007 the deregistration process was extremely difficult for foreign firms. Easing these procedures led to a spike in deregistration activity in the second-half of 2007 that did not extend into 2008. We find that deregistrations are generally associated with adverse stock-price reactions, but these reactions are much weaker in 2007 than in other years. It is unclear whether SOX affected foreign-listed firms and deregistering firms adversely in general, but there is evidence that the smaller firms that deregistered after the adoption of Rule 12h-6 reacted more negatively to announcements that foreign firms would not be exempt from SOX. Overall, the evidence supports the bonding theory rather than the loss of competitiveness theory: foreign firms list shares in the U.S. in order to raise capital at the lowest possible cost to finance growth opportunities and, when those opportunities disappear, a listing becomes less valuable to corporate insiders and they go home if they can. But when they do so, minority shareholders typically lose.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".