Accounting for Future Tax Assets and Liabilities under CICA Handbook Section 3465
Bibliographic record
Abstract
This paper explores the value relevant information of future income taxes under The Canadian Institute of Chartered Accountants (CICA) handbook section 3465. CICA handbook section 3465 requires Canadian companies to use the asset and liability method to account for income taxes. Consistent with prior studies, this paper shows that future tax assets are positively associated with share prices, suggesting that they are valued as assets. Future tax liabilities are negatively associated with share prices, suggesting that they are valued as liabilities. Future tax value allowance, which is created for future tax assets, is negatively associated with share prices. This study also explores the value relevant information of future tax asset and liability categories. In addition, this paper explores what determines the valuation of future tax assets and liabilities. It is argued that future tax assets are more (less) valuable if (no) sufficient future income will be generated in the near future to utilize these tax assets; future tax liabilities will reduce share prices more (less), if there is a higher (lower) likelihood of reversal in the short run. The results support this argument. It is shown that (1) future tax assets are less valuable if the firm's value allowance is higher (i.e., the management does not expect the firm will generate sufficient taxable income in future years to utilize these tax assets), or the firm's leverage is higher (another proxy for no sufficient future taxable income), and (2) future tax liabilities reduce share prices less if the firm's investment in capital properties is increased.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".