Market Microstructure Effects of U.S.-Canada Differences Relating to Reserve-Based Accounting Disclosures
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
High disclosure standards are perceived to be the cornerstone of the U.S. securities markets. However. the Securities and Exchange Commission (SEC) prohibits the quantification of unproved reserves by U.S. oil and gas firms (based on the argument that it would mislead unsophisticated individual investors) although such disclosure is permitted abroad. More over, the SEC does permit Canadian firms listed on U.S. exchanges to disclose unproved reserves information since the disclosure is permitted by Canadian regulations. In this paper, the relevance of unproved reserves information is investigated in an international context using a market microstructure methodology based on theoretical models which indicate that the response of the midpoint of the bid-ask spread to unexpected trading activity is a consequence of asymmetric information. The results suggest that for U.S. firms disclosure of the magnitude of unproved reserves could potentially improve market quality and favorably impact the market microstructure.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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