Bibliographic record
Abstract
This thesis first examines the short-term market- and risk-adjusted abnormal returns and their determinants around the announcement and effective dates for a sample of 37 business trust conversions from the period from January 1998 until September 2006. While positive and significant abnormal returns are associated with both event dates, the abnormal returns associated with the effective conversion dates are much smaller in magnitude and are not robust. The only empirically supported explanation for the market impact of trust conversion announcements is the tax savings associated with conversion to an income trust. The longer-term market- and risk-adjusted returns are then examined around the trust conversion announcements. Based on an examination of the Jensen alpha estimates for each of the three years before and after the trust conversion announcements, the average trust conversion exhibits positive abnormal returns in all six years but the abnormal returns are only significant in the year prior to the trust-conversion announcement and in the second year after the announcement. Thus, the evidence supports the conjecture that the market deems trust conversions as value-enhancing events
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".