The Macroeconomic Implications of Changes in Bank Capital and Liquidity Requirements in Canada: Insights from the BoC-GEM-FIN
Bibliographic record
Abstract
The authors use simulations within the BoC-GEM-FIN, the Bank of Canada's version of the Global Economy Model with financial frictions in both the demand and supply sides of the credit market, to investigate the macroeconomic implications of changing bank regulations on the Canadian economy. Specifically, they compute short- and long-run impacts on key macroeconomic and financial variables following increases in the minimum required capital and liquidity ratios. The results indicate that, while long-run effects on bank loans, lending spreads, investment, and output are modest, the short-run effects are non-negligible. In addition, the time horizon for implementing the regulatory changes and the response of monetary policy substantially affect the macroeconomic outcomes. Finally, increasing the required bank capital ratio in other economies roughly doubles the size and duration of the economic downturn in Canada, compared to the case where the increase is implemented only in the Canadian banking sector.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".