Does the Response of Competitors to Privatization Announcements Reflect Competitive or Industry-Wide Information Effect? International Evidence
Bibliographic record
Abstract
We examine the stock price reaction of rival firms to the announcement of the privatization of their industry counterparts to infer information about the intra-industry effects of privatization. We find that the rival firms reacted negatively to the privatization announcements, suggesting that the announcement effects reflect competitive rather than positive industry effects. The reaction is stronger for industry counterparts in low economic freedom countries than those in high economic freedom countries. Interestingly, we also find that full privatization announcements generate larger negative abnormal returns for rival firms than partial privatization announcements where the privatized firm gains only partial autonomy from the government. In this regard, we find that, as the proportion of government ownership reduces, subsequent partial privatization elicits stronger market reaction from rival firms. The negative abnormal returns earned by shareholders of rival firms are not due to price pressure and portfolio rebalancing effects resulting from index composition changes. We conclude that the negative effects documented for the rival firms reflect investors' concern about the potential competitive effects resulting from privatization of the state enterprise.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".