MétaCan
Menu
Back to cohort

The spillover effects of accounting scandals in business groups

2025· article· en· W4409448868 on OpenAlex
Guilong Cai, Rui Ge, Jeffrey Pittman, Leon Zolotoy

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

VenueJournal of Accounting and Public Policy · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsMemorial University of Newfoundland
FundersBasic and Applied Basic Research Foundation of Guangdong ProvinceShenzhen UniversityNational Natural Science Foundation of China
KeywordsAccountingSpillover effectBusinessEconomics

Abstract

fetched live from OpenAlex

We show that the revelation of an accounting scandal in a member firm induces stock price declines among other member firms in the same business group. Additional evidence suggests that the spillover effects of accounting scandals are amplified when peer member firms exhibit wider deviation between the ultimate controller’s voting rights and cash flow rights, demonstrate worse accounting transparency, participate more intensively in related party transactions, and appoint more connected audit partners. Further, we find that the spillover effects subside when the peer member firms engage Big Four auditors. We also document that peer member firms that are later identified as committing accounting fraud suffer sharper stock price declines around the revelation of the initial accounting scandal in the business group. Collectively, our evidence implies that an accounting scandal at a member firm undermines the market values of peer member firms by triggering investors’ concerns about accounting fraud risk for these firms.

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)0.002
metaresearch head score (Gemma)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
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 head0.005
GPT teacher head0.226
Teacher spread0.221 · 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