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Record W2734902516 · doi:10.2308/accr-52353

Foreign Institutional Investors and Corporate Voluntary Disclosure Around the World

2019· article· en· W2734902516 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

VenueThe Accounting Review · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsYork University
Fundersnot available
KeywordsInstitutional investorVoluntary disclosureBusinessTurnoverSample (material)AccountingForeign direct investmentInvestor protectionFinancial systemMonetary economicsInternational economicsFinanceCorporate governanceEconomics

Abstract

fetched live from OpenAlex

ABSTRACT We examine the impact of foreign institutional investors on firms' voluntary disclosure practices measured by management forecasts. In a sample of 32 non-U.S. countries, we find that, on average, foreign institutional investments lead to improved voluntary disclosure, and their impact is larger than that of domestic institutional investors. These results are more pronounced when foreign institutional investors (1) are unfamiliar with the firm's home country, (2) have longer investment horizons, and (3) are from countries with stronger investor protection and disclosure requirements than the firm's home country. However, we also find some evidence of voluntary disclosure deterioration in firms with foreign institutional investors from countries with inferior disclosure requirements and securities regulations and with concentrated foreign institutional ownership. Overall, our results suggest that the relation between foreign institutional investors and voluntary disclosure is much richer and more complex than what has been documented for domestic institutional investors in the literature.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.020
GPT teacher head0.216
Teacher spread0.196 · 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