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Record W2801174672 · doi:10.3386/w24555

Debt Overhang, Rollover Risk, and Corporate Investment: Evidence from the European Crisis

2018· preprint· en· W2801174672 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNational Bureau of Economic Research · 2018
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsBank of Canada
Fundersnot available
KeywordsRollover (web design)BusinessDebt overhangDebt crisisFinancial systemInvestment (military)Financial crisisDebtEuropean debt crisisMonetary economicsEconomicsFinanceEconomic policyExternal debtEuropean integrationEuropean unionPolitical scienceComputer scienceMacroeconomics

Abstract

fetched live from OpenAlex

We quantify the role of financial leverage behind the sluggish post-crisis investment performance of European firms. We use a cross-country firm-bank matched database to identify separate roles for firm leverage, bank balance sheet weaknesses arising from sovereign risk, and aggregate demand conditions. We find that firms with higher debt levels reduce their investment more after the crisis. This negative effect is stronger for firms holding short-term debt in countries with sovereign stress, consistent with rollover risk being an important channel influencing investment. The negative effect of firm leverage on investment is persistent for several years after the shock in the countries with sovereign stress. The corporate leverage channel can explain 40 percent of the cumulative decline in aggregate investment over four years after the crisis.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.254
GPT teacher head0.387
Teacher spread0.133 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it