Divergence of Cash Flow and Voting Rights, Opacity, and Stock Price Crash Risk: International Evidence
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: Observational
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.007
- Threshold uncertainty score
- 0.924
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.258 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
ABSTRACT This study investigates whether and how the deviation of cash flow rights (ownership) from voting rights (control), or simply the ownership‐control wedge, influences the likelihood that extreme negative outliers occur in stock return distributions, which we refer to as stock price crash risk. We do so using a comprehensive panel data set of firms with a dual‐class share structure from 20 countries around the world for the period of 1995–2007. We predict and find that opaque firms with a large wedge are more crash prone than opaque firms with a small wedge. In addition, we predict and find that the positive relation between the wedge and crash risk is less pronounced for firms with more effective external monitoring and for firms with greater growth opportunities. The results of this study are broadly consistent with Jin and Myers’s theory that agency costs, combined with opacity, exacerbate stock price crash risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Journal of Accounting Research
- Topic
- Corporate Finance and Governance
- Field
- Business, Management and Accounting
- Canadian institutions
- Queen's University
- Funders
- not available
- Keywords
- VotingCash flowCrashPanel dataOutlierBusinessStock (firearms)EconometricsAgency costFinancial economicsEconomicsMonetary economicsActuarial scienceFinanceStatisticsCorporate governanceShareholderGeographyMathematics
- Has abstract in OpenAlex
- yes