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Record W1507672391 · doi:10.1108/mf-05-2013-0123

Investment opportunity set, board independence, and firm performance

2014· article· en· W1507672391 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

VenueManagerial Finance · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsCorporate governanceIndependence (probability theory)AccountingOriginalityBusinessInvestment (military)Sarbanes–Oxley ActSet (abstract data type)Enterprise valuePanel dataEconomicsFinanceEconometricsPolitical science

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to investigate the impact of Sarbanes-Oxley Act (SOX) on high growth firms’ corporate governance. Specially, the study examines whether there is a negative impact of SOX on the interactive effect of board independence and investment opportunity set on firm performance. Design/methodology/approach – Sample firms were selected from the Investor Responsibility Research Center Directors’ database. Both accounting- and market-based firm performance measures are used. Regressions are run to test the hypothesis. Findings – It was found that the impact of SOX on the interaction effect of board independence and investment opportunity set on firm performance is negative. Originality/value – The results suggest that the impact of SOX in corporate governance and regulatory environment mitigates the effect of board independence on the relationship between investment opportunity set and firm performance, consistent with the notion that the enactment of SOX increases monitoring costs of board governance especially for high-growth 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-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 score0.506
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.020
GPT teacher head0.200
Teacher spread0.180 · 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