Effects of Cross-border Merger and Acquisition on the Operational Risk of US and Canadian Companies
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
The integration of the world economies is responsible for an increase in the number of cross-border mergers and acquisitions (M&A), together with the growing participation of companies from emerging countries in this type of investment. However, the area studies focus their analyses on the determinants, antecedents and profitability of the companies, leaving the effects of this type of business on the operational risk of the companies involved as a gap to be explored. To fill it, we used panel data regressions to identify the relationship between cross-border M&A and the operational risk of companies. The results indicate that acquiring companies based in emerging economies are the ones that suffer the most significant impacts on this type of business. As the implication, this study serves as a basis for the decision-making of the managers of the acquiring companies, being able to identify the risks of this activity and the ways of preventing them.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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