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Record W2578885335 · doi:10.1111/jbfa.12233

National Culture and the Valuation of Cash Holdings

2017· article· en· W2578885335 on OpenAlex
Svetlana Orlova, Ramesh P. Rao, Tony Kang

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 Business Finance &amp Accounting · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsMcMaster University
Fundersnot available
KeywordsValuation (finance)Uncertainty avoidanceCashIndividualismHofstede's cultural dimensions theoryBusinessValue (mathematics)EconomicsFinanceSocial psychologyPsychologyCollectivism

Abstract

fetched live from OpenAlex

Abstract Prior studies document that national culture traits are systematically related to cash holdings and attribute this to managerial cultural predispositions. However, it is possible that these preferences reflect investors’ cultural preferences and that managers are simply catering to investors’ preferences. It is also not clear whether the cash holding effects previously documented are value maximizing. By examining the impact of national culture traits on cash valuation, we are able to provide insight into these questions. Specifically, we examine the effect of three national culture traits – individualism, uncertainty avoidance and long‐term orientation – on firm cash valuation. Our results suggest that the previously observed effects of cultural traits on cash holdings and attributed to managerial cultural biases do not reflect investors’ preferences and are not value maximizing.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.004
Open science0.0010.000
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 head0.037
GPT teacher head0.250
Teacher spread0.213 · 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