MétaCan
Menu
Back to cohort
Record W3112754119 · doi:10.2308/ajpt-18-135

Audit Profession Development and Bank Loan Contracting

2020· article· en· W3112754119 on OpenAlexaff
Wenxia Ge, Tony Kang, Byron Y. Song, Gaoguang Zhou

Bibliographic record

VenueAuditing A Journal of Practice & Theory · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLoanAuditBusinessNon-conforming loanAccountingParticipation loanLiabilitySample (material)Independence (probability theory)Cross-collateralizationCovenantFinancial systemNon-performing loanFinanceLawPolitical science

Abstract

fetched live from OpenAlex

SUMMARY This study examines the relation between country-level audit profession development (APD) and bank loan contracting around the world. Using a sample of bank loan data from 35 countries, we find that stronger APD is associated with more favorable loan terms, such as lower loan spreads, fewer covenants, and larger loan amounts. These effects are stronger in countries with a weaker rule of law. We also find that stronger APD attracts significantly more lenders participating in loans and more foreign lenders leading loans. A breakdown of APD into three subcategories, namely, auditor education, auditor independence and liability, and auditor oversight, reveals that all three influence various contracting terms. We also provide evidence that stronger APD is associated with a higher degree of timely loss recognition. Collectively, our findings show that APD improves bank loan contracting terms. Data Availability: Data are publicly available from the sources mentioned in the manuscript. JEL Classification: F34; K20; M41; M42.

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.

How this classification was reachedexpand

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)0.092
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.092
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.247
Teacher spread0.232 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAuditing A Journal of Practice & TheorySame topicAuditing, Earnings Management, GovernanceFrench-language works237,207