Has New York Become Less Competitive in Global Markets? Evaluating Foreign Listing Choices Over Time
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We study the determinants and consequences of cross-listings on the New York and London stock exchanges from 1990 to 2005. This investigation enables us to evaluate the relative benefits of New York and London exchange listings and to assess whether these relative benefits have changed over time, perhaps as a result of the passage of the Sarbanes-Oxley Act of Congress (SOX) in 2002. We find that cross-listings have been falling on U.S. exchanges as well as on the Main Market in London. This decline in cross-listings is explained by changes in firm characteristics rather than by changes in the benefits of cross-listings. We show that, after controlling for firm characteristics, there is no deficit in cross-listing counts on U.S. exchanges related to SOX. Investigating the cross-listing premium from 1990 to 2005, we find that there is a significant premium for U.S. exchange listings every year, that the premium has not fallen significantly in recent years, that it persists even when allowing for unobservable firm characteristics, and that there is a permanent premium in event time. In contrast, there is no premium for London listings for any year. Cross-listing in the U.S. leads firms to increase their capital-raising activity at home and abroad while a London listing has no such impact. Our evidence is consistent with the theory that an exchange listing in New York has unique governance benefits for foreign firms. These benefits have not been seriously eroded by SOX and cannot be replicated through a London listing.
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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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it