The Value Relevance of Foreign Income: an Australian, Canadian, and British Comparison
Bibliographic record
Abstract
Abstract In this paper we examine the value relevance of geographical earnings disclosures for firms listed and domiciled in Australia, Canada and the United Kingdom. We find that foreign earnings in all three countries are valued differently than domestic earnings. The estimate of the association coefficient for foreign earnings changes with returns is positive in all three countries and statistically larger than the association coefficient for domestic earnings changes in Canada and the United Kingdom. Further tests show that this difference is related to relative growth opportunities of overseas operations to domestic operations. These findings are similar to results for foreign earnings association coefficients for American‐based multinationals found in Bodnar and Weintrop (1997). These results indicate that across countries the market perceives the results of foreign operations as value relevant and suggests that greater emphasis should be placed on the required disclosure of segmental data rather than on the concern that all countries prepare the segmental information using a common GAAP.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.002 |
| 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 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".