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Record W2619049629 · doi:10.1111/acfi.12273

Stock price crash risk and internal control weakness: presence vs. disclosure effect

2017· article· en· W2619049629 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

VenueAccounting and Finance · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of British ColumbiaUniversity of Waterloo
FundersGlaucoma Research Foundation
KeywordsBusinessStock priceCrashStock (firearms)AccountingWeaknessActuarial scienceMedicineComputer science

Abstract

fetched live from OpenAlex

Abstract This study examines the stock price crash risk for a sample of firms that disclosed internal control weaknesses ( ICW ) under Section 404 of the Sarbanes‐Oxley Act ( SOX ). We find that in the year prior to the initial disclosures, ICW firms are more crash‐prone than firms with effective internal controls. This positive relation is more pronounced when weakness problems are associated with a firm's financial reporting process. More importantly, we find that stock price crash risk reduces significantly after the disclosures of ICW s, despite the disclosure itself signalling bad news. The above results hold after controlling for various firm‐specific determinants of crash risk and ICW s. Using an ICW disclosure as a natural experiment, our study attempts to isolate the presence effect of undisclosed ICW s from the initial disclosure effect of internal control weakness on stock price crash risk. In so doing, we provide more direct evidence on the causal relation between the quality of financial reporting and stock price crash risk.

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)0.001
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, 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 score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.003
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 head0.004
GPT teacher head0.203
Teacher spread0.199 · 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