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Record W4407830949 · doi:10.1016/j.intman.2025.101240

The effects of multinationality on the market value of cash: Evidence from Latin America

2025· article· en· W4407830949 on OpenAlexaff
Aviner Augusto Silva Manoel, Marcelo Botelho da Costa Moraes, Jorge Carneiro, Eloisa Perez-de Toledo

Bibliographic record

VenueJournal of International Management · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsMacEwan University
FundersFundação para a Ciência e a TecnologiaConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsLatin AmericansValue (mathematics)BusinessCashMonetary economicsEconomicsFinancePolitical scienceComputer science

Abstract

fetched live from OpenAlex

The aim of this paper is to examine whether the value investors place on cash holdings varies between multinationals and domestic firms from Latin America. Utilizing data from the six largest Latin American economies , our analyses with different proxies of multinationality reveal that investors do not attribute a significant valuation premium, nor do they impose a price discount , on the cash held by Latin American multinational corporations (Multilatinas) when compared to the cash of their domestic counterparts. These findings suggest that shareholders do not view Multilatinas' cash holdings as conferring greater advantages relative to those of domestic firms. We interpret this as evidence that the perceived benefits of multinationality, such as increased growth potential, may be counterbalanced by elevated agency costs and greater information asymmetry . Our study advances the literature on cash holdings and international business and discusses implications for stakeholders of multinational corporations that have subsidiaries in countries with potential growth opportunities but in which poor investor protection may lead to agency conflicts and the risk of improper cash diversion. Our research yields important implications for policymakers by highlighting the relevance of requiring the disclosure of disaggregated information about domestic and foreign cash to improve efficiency in stakeholder decision-making.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.241
Teacher spread0.230 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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