Financial Statement Comparability and Debt Contracting: Evidence from the Syndicated Loan Market
Bibliographic record
Abstract
SYNOPSIS In this study, we examine whether and how borrowing firms' financial statement comparability affects the contracting features of syndicated loans. Using a sample of loans issued by U.S. public firms in the syndicated loan market over the period 1992–2008, we find strong and robust evidence that financial statement comparability is negatively associated with loan spread and the likelihood of pledging collateral, and positively associated with loan maturity and the likelihood of including performance pricing provisions in loan contracts. We also find that borrowing firms with greater financial statement comparability are able to complete the loan syndication process more swiftly, form loan syndicates enabling the lead lenders to retain smaller percentages of loan shares, and attract a greater number of lenders and, particularly, a greater number of uninformed participating lenders. Altogether, these findings are consistent with the view that financial statement comparability plays an important role in alleviating information asymmetry in the syndicated loan market. JEL Classifications: G12; G14; M41
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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 | 0.004 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".