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Record W2166537969

Elimination of the Foreign Property Rule on Tax Deferred Savings Plans

2005· preprint· en· W2166537969 on OpenAlexaffabout
Joel Fried

Bibliographic record

VenueScholarship@Western (Western University) · 2005
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsLiberian dollarPensionCurrencyCapital (architecture)EconomicsGovernment (linguistics)Value (mathematics)BusinessMonetary economicsCapital marketFinance
DOInot available

Abstract

fetched live from OpenAlex

The Foreign Property Rule (FPR), limiting the holding of foreign property in pension plan assets, is scheduled to be eliminated this year. It has been rationalized on economic grounds by asserting that it improves the value of the dollar and decreases the cost of capital yet, at the time the FPR began, the government was trying to keep the dollar from rising and there were strong capital inflows. Further, evidence from the past changes in the FPR indicates it had little, if any, affect on the cost of capital and exchange rate, but cost middle income workers between one and three billion dollars per annum when set at 30%. I argue that the reason for its existence was the then common belief that governments could make better economic allocation decisions than markets. Removing the FPR provides pension plans with greater opportunity for risk adjusted returns as well as responsibilities. Relevant issues that arise include the degree of foreign currency exposure that is desirable and the degree of active management desired in foreign assets, and whether it makes sense to choose fund managers that are regionally focused rather than global. Pension boards will also have to rethink what a Canadian fund is and whether it should mimic Canadian production (as currently structured) or Canadian consumption patterns. An encouraging aspect of eliminating the FPR is the possibility that government ideology is changing to place greater emphasis on the positive benefits of using markets to allocate resources.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0000.001
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 head0.079
GPT teacher head0.276
Teacher spread0.197 · 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 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
Published2005
Admission routes2
Has abstractyes

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