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Record W4407554316 · doi:10.1016/j.frl.2025.106954

Does corporate social responsibility facilitate credit ratings: Evidence from Rule 144A bonds

2025· article· en· W4407554316 on OpenAlexafffund
Kelly Nianyun Cai, Steven X. Zhu, Hui Zhu

Bibliographic record

VenueFinance research letters · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsOntario Tech University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsBusinessCredit ratingBondBond credit ratingAccountingCorporate social responsibilityFinancial systemActuarial scienceFinanceCredit riskCredit referenceLawPolitical science

Abstract

fetched live from OpenAlex

• Rule 144A issuers with higher CSR performance receive better initial credit ratings. • Foreign Rule 144A issuers with higher CSR receive favorable initial credit ratings. • CSR can reduce information asymmetry or risk, granting firms better credit ratings. • Rule 144A issuers with better CSR performance can borrow more debt at a lower cost. We investigate how corporate social responsibility (CSR) influences the initial credit rating of Rule 144A bonds. Our findings indicate that socially responsible issuers are rewarded with better initial ratings. This result persists even for each environmental, social, and governance component. We further show that foreign issuers with strong CSR receive more favorable initial ratings than their domestic peers. Additionally, issuers with higher CSR can issue larger amounts at lower borrowing costs. Results from instrumental variables and entropy balance analyses show robustness accounting for endogeneity. Our findings suggest that CSR efforts are recognized and rewarded in the Rule 144A market.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
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 head0.097
GPT teacher head0.316
Teacher spread0.220 · 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 designObservational
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

Citations2
Published2025
Admission routes2
Has abstractyes

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