Division Buyout and Refinancing of Event Risk Covenant Bonds: Evidence from the Long-Term Stock Performance
Bibliographic record
Abstract
The focus of this paper is to assess the long-term common stock performance of the parent firms that underwent divisional buyout (DBO) and had event risk covenant (ERC) bonds outstanding at the announcement of the DBO. The final sample of 46 parent firms exhibit a common characteristic where all the ERC bonds were redeemed (either called above par or put on the firm at par) or restructured at a higher cost to the firm around DBO announcement date due to the presence of ERCs. ERCs are triggered since the parent firms that divest their assets through a DBO reveal future cash flow volatility, which has potential to lower the value of existing bonds. This refunding of the bonds leads to costly refinancing for the parent firms, which has long-term implications. I find significantly negative cumulative abnormal returns at the issue date of the ERC bonds for these firms due to potential managerial entrenchment and foregone transfer of wealth from bondholders to stockholders. Consistent with the finance literature, I find significantly positive cumulative abnormal returns for parent firms at the announcement of the DBO. These positive short-term returns at the announcement do not translate into long-term positive returns. The common stock of these parent firms significantly underperforms the market over the periods three, four, and five years after the DBO date. This dichotomy can be attributed to the security market overreaction to the announcement of DBO. The long-term underperformance can be attributed to the costly refinancing of the ERC bonds.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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 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".