Intra-group financing : The influence of the parent-subsidiary relationship in the pricing of intra-group loans
Bibliographic record
Abstract
This master thesis examines the issues surrounding the pricing of intra-group loans. The main focus of the thesis is the process of establishing an interest rate and the assessment of the credit risk in an intra-group context. In order to expose the common problems associated with the pricing of intra-group loans the thesis has examined case law from two different jurisdictions, Canada and Sweden, which have been put in relation to the OECD guidelines and Swedish national legislation. The purpose of the master thesis has been to determine whether the establishing of an interest rate and the assessment of the credit risk of an intra-group loan should be made taking into account the parent-subsidiary affiliation or relationship and whether or not this is a deviation of the arm’s length principle. A general assumption is that, if a transaction is carried out between related parties, the price could be different from a price deriving from negotiations between two unrelated parties on the open market, due to their commercial or financial relations. A common feature in case law, regarding the establishing of an appropriate interest rate on intra-group loan, has been whether or not the parent-subsidiary should be included in the assessment of the credit risk. Much of the support available to taxpayers in resolving transfer pricing issues are relating to goods and services and not financing transactions. The main reason is the unique economic profile of financial transactions. Financial transactions are affected by different factors why it is difficult to develop usable transfer pricing policies. Establishing economically justifiable transfer pricing policies while attempting to properly reflect taxable income and prevent penalties from international tax authorities, has resulted in transfer pricing challenges that are unique to intra-group financing. According to Swedish law, interest is regarded as a deductable cost within corporate tax. However, in recent cases, the Swedish tax authorities have been questioning, the deduction right as well as the level of interest on intra-group loans. As of today, there are few national and international guidelines on this area thus it is of interest to examine and address the issues surrounding intra –group loans.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".