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Record W7097347835

Evidence from the Market for Government of Canada Bonds

2007· article· en· W7097347835 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsBondYield (engineering)Tax rateCouponBond market indexBond marketRate of returnInterest rateCapital gain
DOInot available

Abstract

fetched live from OpenAlex

This paper shows that, contrary to the suggestion of some investment advisors, for an individual Canadian investor subject to personal income taxation, the after-tax return on a discount bond is always higher (or, at worse, equal) to the return on an otherwise identical premium bond. This follows because the tax rate on capital gains is lower than the tax rate on coupon income in Canada. It is also shown that a decline in the capital gains tax rate raises the after-tax yield on discount bonds, but reduces the after-tax yield on premium bonds, and may even cause the yield on premium bonds to become negative. Further, a cut in the tax rate on interest income raises the after-tax yield on all bonds, but raises the yield on premium bonds relative to discount bonds. While the lower after-tax returns on higher coupon bonds might be expected to cause the pre-tax yields on these bonds to rise, no evidence of such tax capitalization is found using a large dataset of matched pairs of Government of Canada bonds for the period 1986-2006. The observed near equality of pre-tax yields since 1995 for otherwise equivalent bonds with different coupons implies that individuals in Canada earn a significantly smaller after-tax return from holding premium bonds than discount bonds. The empirical analysis suggests that the marginal investor in the bond market is an investor who pays the same rate of tax on capital gains and interest income, such as professional investors, financial institutions or pension funds, rather than an individual taxpayer.

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)0.001
metaresearch head score (Gemma)0.016
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.025
GPT teacher head0.209
Teacher spread0.183 · 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
Published2007
Admission routes1
Has abstractyes

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