Hedging and debt overhang: a conceptual note
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
Purpose – This paper aims to examine the nexus between hedging, which reduces the volatility of corporate assets, and the anomaly of debt overhang, whereby corporate management is motivated to reject positive net present value ( NPV ) projects. The question of whether hedging ameliorates or aggravates debt overhang is addressed. Design/methodology/approach – The Black–Scholes isomorphism between common shares and call options is exploited to determine the allocation of a project’s NPV between debt- and stock-holders. The effect of hedging on this NPV -partitioning is then gauged to determine the resulting likelihood of debt overhang. Findings – If the volatility of corporate assets is below a critical maximum, hedging ameliorates debt overhang consistent with extant theoretical research. However, above that critical value of volatility, hedging aggravates debt overhang. Originality/value – The novel result of this note, namely, hedging may exacerbate debt overhang, is demonstrated both analytically and intuitively. The latter is explained by allusion to a second agency-theoretic conflict between debt- versus stock-holders, namely, risk shifting. The disparate effects of hedging on debt overhang imply a non-monotonic relationship between metrics for these two variables, which is a phenomenon that extant empirical studies have failed to take into account.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it