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Record W3124001969

Transfer Pricing: The CUP – Case Studies: Australia, US, UK, Norway and Canada

2012· article· en· W3124001969 on OpenAlexaboutno aff
Richard Thompson Ainsworth, Andrew Shact

Bibliographic record

VenueeYLS (Yale Law School) · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsTaxpayerTransfer pricingRevenueCorporationEconomicsPosition (finance)Government (linguistics)Quality (philosophy)Transfer (computing)LawFinanceComputer sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

All transfer pricing regimes give priority to the comparable uncontrolled price (CUP) method. Despite declarations that transfer pricing is a search for the “best method” or “most appropriate method,” all systems concede that the search is over when an exact comparable is found because a CUP is preferred over all methods. The best CUP is an exact CUP because it provides an arm’s length price that is not calculated. The price emerges directly from the comparison. CUPs have traditionally been the most commonly applied method for both taxpayers and the government. They are the judicial gold standard. They hold sway even when they are constructed. Whenever constructed CUPs are involved trial argumentation invariably centers on the adjustments. While exact CUPs require no adjustments, the constructed CUP’s persuasive value is based on the quality of the adjustments made. Constructed CUPs produce calculated results, and so the concern is with the precision of the calculation. This paper aligns five cases, each from a different country, to paint a multi-jurisdictional picture of the continuing importance of CUPs in transfer pricing. Australia – SNF (Australia) Pty. Ltd. v. Commissioner of Taxation. The court is very receptive to the taxpayer’s effort to construct a CUP at trial in support of a filing position that was explained as not much more than an educated guess. US – Compaq Computer Corporation v. Commissioner. The taxpayer filed under a traditional cost-plus method, but at trial to a constructed CUP. UK – DSG Retail Ltd. v. Commissioners for Her Majesty’s Revenue and Customs. This case demonstrates what happens when a court is convinced that adjustments are needed to inexact comparables, but when well-reasoned adjustments are not offered. Norway – ConocoPhillips Skandinavia AS and Norske ConocoPhillips AS v. Oljeskattekontoret. The CUP proposed is illusory. This case, like in DSG, results in a profit split. Canada – Alberta Printed Circuits Ltd. v. Her Majesty the Queen. The Canadian Revenue Authority (CRA) in this case cannot overcome the authority of an exact CUP, and missed the business restructuring adjustment. The traditional preference for CUPs in resolving transfer pricing disputes is alive and well in the courts. Courts give just as much authority to constructed CUPs (Compaq, and SNF) as are given exact CUPs (Alberta). The only requirement is that considerable time and effort is needed to prove comparability (DSG). CUPs do not answer all transfer pricing questions. There are clearly cases where exact CUPs are impossible (ConocoPhillips).

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)0.004
metaresearch head score (Gemma)0.017
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.010
Science and technology studies0.0080.003
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.034
GPT teacher head0.251
Teacher spread0.217 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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