INVESTORS’ BEHAVIOR IN THE CONTEXT OF STOCK MARKET— \nA REACTION TO THE CHANGE OF CEO ANNOUNCEMENTS
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
ABSTRACT \nCEO is the most eye-catching person to the investors, scholars, and practitioners. The impact of changing a new CEO on the movement in the value of the relevant share price is studied in this dissertation. An event study has been applied to capture the effect of CEO change event through a cross-country and industry level with unique hand-collected data. This work extends existing work that focuses on CEO succession issue. \n \nMain findings of this dissertation are: UK and Oceania investors generally view CEO change as a positive event, which relevant share price increase after that change, while investors from west Europe are indifferent with the CEO change announcement or news. However, the North American stock markets (US and Canada) basically view CEO change as negative information to the company and its security. Securities from financials industry show positive reactions to CEO change, while securities from consumer discretionary industry and utilities industry present negative reactions to CEO change event. The largest abnormal return of a CEO event-related share price appears on the day following announcement date. New information will be incorporated into price slowly in 5 to 7 trading days whatever in which country.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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