Balance Sheet Conservatism and Debt Contracting
Bibliographic record
Abstract
Abstract We study the role of borrowers’ balance sheet conservatism (i.e., conservatism in asset values) in debt contract design. We find that borrowing costs are decreasing in the degree of balance sheet conservatism, and this effect is stronger for firms with lower credit quality. This is consistent with balance sheet conservatism reducing lenders’ uncertainty about the liquidation value of assets, thus facilitating the ex ante screening of borrowers. We predict that better ex ante screening also reduces the need for ex post monitoring, and find that balance sheet conservatism is associated with less restrictive covenant terms. Further, we find that asymmetric timeliness in earnings is associated with lower borrowing costs only when balance sheet conservatism is not high. This result suggests that lenders appear to recognize the constraining effect of high balance sheet conservatism on future conservatism in earnings.
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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 | 0.005 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".