Canadian Bank Balance-Sheet Management: Breakdown by Types of Canadian Financial Institutions
Bibliographic record
Abstract
The authors document leverage, capital and liquidity ratios of banks in Canada. These ratios are important indicators of different types of risk with respect to a bank’s balance‐sheet management. Particular attention is given to the observations by different types of banks, including small banks that historically received less attention. In addition, the authors compare leverage and capital ratios for banks in Canada and the United States in the period leading up to the recent crisis. They find that in Canada, most of the risks indicated by these balance‐sheet ratios are concentrated among large banks that are more likely able to withstand shocks due to their diversified portfolios. Some smaller banks, however, reveal vulnerability against liquidity risks. Regarding a Canada - U.S. comparison, small U.S. banks show more vulnerability than their larger counterparts, as well as an increasing trend in vulnerability prior to the crisis. In contrast, the ratios for small Canadian banks show increasing resilience.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".