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Debt Specialization

2013· article· en· 428 citations· W2323290796 on OpenAlex· 10.1111/jofi.12052

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.019
GPT teacher head0.213
Teacher spread
0.194 · how far apart the two teachers sit on this one work
Validation status
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

Abstract

ABSTRACT This paper examines debt structure using a new and comprehensive database on types of debt employed by public U.S. firms. We find that 85% of the sample firms borrow predominantly with one type of debt, and the degree of debt specialization varies widely across different subsamples—large rated firms tend to diversify across multiple debt types, while small unrated firms specialize in fewer types. We suggest several explanations for why debt specialization takes place, and show that firms employing few types of debt have higher bankruptcy costs, are more opaque, and lack access to some segments of the debt markets.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
The Journal of Finance
Topic
Banking stability, regulation, efficiency
Field
Economics, Econometrics and Finance
Canadian institutions
Funders
Social Sciences and Humanities Research Council of Canada
Keywords
DebtBankruptcyDebt levels and flowsDebt-to-GDP ratioSample (material)Monetary economicsDebt ratioBusinessInternal debtEconomicsFinance
Has abstract in OpenAlex
yes