The Effects of a Disruption in CDSX Settlement on Activity in the LVTS: A Simulation Study
Bibliographic record
Abstract
The Large Value Transfer System (LVTS) for settling large payments, and CDSX for settling debt and equity trades, are two of the main settlement systems in Canada. They are closely linked; for example, at the end of the day the final CDSX payment obligations must settle on the Bank of Canada's books, with payments made through the LVTS. CDSX settlement payments account for an important portion of LVTS activity. Therefore, any event that disrupts CDSX settlement may have systemic implications for the LVTS. Through simulation analysis, the authors quantitatively assess the potential impacts of a disruption to CDSX settlement on LVTS activity, and examine the mitigating actions implemented during such an event. Their results indicate that a disruptive event could lead to a considerable amount of rejected payments and payment delays. These findings highlight the importance of business continuity plans to prevent disruptions, contingency measures to ensure that delays are short, and mitigating actions that can be taken to reduce the impacts of a disruption when it does occur.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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 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".