Implementing Market-Based Indicators to Monitor Vulnerabilities of Financial Institutions
Bibliographic record
Abstract
This note introduces several market-based indicators and examines how they can further inform the Bank of Canada’s vulnerability assessment of Canadian financial institutions. Market-based indicators of leverage suggest that the solvency risk for major Canadian banks has increased since the beginning of the oil-price correction in the second half of 2014. This is in contrast to accounting-based leverage measures, which indicate a stable or improving trend. Similarly, measures of insolvency risk contingent on severe financial stress (i.e., market-based stress tests) indicate that the major banks are currently more vulnerable to a sudden adverse shock than they were in the summer of 2014. Finally, a measure of financial system interconnectedness and common exposures suggests a strong link between the major banks and the rest of the financial system, as expected. In other financial subsectors, the degree of interconnectedness has exhibited an upward trend over the last two decades.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".