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Record W4401416501 · doi:10.32721/ctj.2024.72.2.itp

International Tax Planning: EIFEL Beyond Canada—The Impact of the New Rules in the Foreign Affiliate Context

2024· article· en· W4401416501 on OpenAlexvenueaboutno aff
Tommy Zhu, Alex R. Cook, Michael D. O’Connor

Bibliographic record

VenueCanadian Tax Journal/Revue fiscale canadienne · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTaxation and Legal Issues
Canadian institutionsnot available
Fundersnot available
KeywordsTax planningContext (archaeology)BusinessInternational tradeTax avoidanceGeographyDouble taxationArchaeology

Abstract

fetched live from OpenAlex

The introduction of the excessive interest and financing expenses limitation (EIFEL) rules marks a significant change in the interest deductibility landscape for Canadian taxpayers and their foreign affiliates. Interest and financing expenses of controlled foreign affiliates (CFAs) that are relevant in computing a CFA's foreign accrual property income or foreign accrual property loss can be rendered non-deductible by the EIFEL rules, and can also affect the amounts deductible by the Canadian taxpayer under these rules. This article reviews the specific implications of the new rules in the foreign affiliate context, as well as the impact of the rules on Canadian borrowings to invest in foreign affiliates. The authors use examples to demonstrate the complexity of the EIFEL calculations, which involve a combination of mandatory and elective rules, and which make the determination of the impact of CFAs on a taxpayer's EIFEL calculations a multi-step process. The authors also outline some of the key practical challenges in complying with the new rules. The complexity of the examples demonstrates the importance of carrying out detailed modelling calculations in order to achieve optimal results for Canadian taxpayers and their foreign affiliates.

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 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)0.001
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.222
Teacher spread0.207 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2024
Admission routes2
Has abstractyes

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Same venueCanadian Tax Journal/Revue fiscale canadienneSame topicTaxation and Legal IssuesFrench-language works237,207