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Record W3126056567 · doi:10.1111/1911-3846.12140

Trapped Cash and the Profitability of Foreign Acquisitions

2015· article· en· W3126056567 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueContemporary Accounting Research · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMultinational corporationEarningsIncentiveProfitability indexBusinessCashMonetary economicsOperating cash flowFinanceEconomicsMarket economy

Abstract

fetched live from OpenAlex

Abstract Current U.S. reporting and tax laws create an incentive for some U.S. firms to avoid the repatriation of foreign earnings, as the U.S. government charges additional corporate taxes on these transfers. Prior research suggests that the combined effect of these incentives leads some U.S. multinational corporations to hold a significant amount of cash overseas. In this study, we investigate the effect of cash trapped overseas on U.S. multinational corporations' foreign acquisitions. Consistent with expectations, we observe firms with high levels of trapped cash make less profitable acquisitions of foreign target firms using cash consideration (lower announcement window returns, lower buy and hold returns, decreased ROA ). The American Jobs Creation Act of 2004 (AJCA) reduced this effect by allowing firms to repatriate foreign earnings held as cash abroad at a much lower tax cost. Our study has implications for current proposals to change the tax laws related to foreign earnings.

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)0.007
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.137
GPT teacher head0.327
Teacher spread0.190 · 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