The Effect Of Conference Call Initiations On Analyst Coverage And Institutional Ownership
Bibliographic record
Abstract
<p class="08BodyText" style="text-align: justify; line-height: normal; text-indent: 0in; margin: 0in 0.5in 0pt; mso-pagination: none;"><em style="mso-bidi-font-style: normal;"><span style="color: black; font-size: 10pt;"><span style="font-family: Times New Roman;">The study empirically examines changes in institutional ownership and analyst coverage in the years following conference call initiations. We find significant increases in both variables in the years following initiations of conference calls after controlling for confounding factors. These results complement prior research on the benefits of disclosures and suggest that expanded disclosures create additional institutional and analyst interest in stocks.</span></span></em></p><p class="08BodyText" style="text-align: justify; line-height: normal; text-indent: 0in; margin: 0in 0in 0pt; mso-pagination: none;"><span style="color: black; font-size: 10pt;"><span style="font-family: Times New Roman;">&nbsp;</span></span></p>
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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 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".