Simulation studies of liquidity needs, risks and efficiency in payment networks : Proceedings from the Bank of Finland Payment and Settlement System Seminars 2005-2006
Bibliographic record
Abstract
Chapter 1 Harry Leinonen Introduction 9 Chapter 2 Kimmo Soramäki - Walter Beyeler - Morten Bech - Rober Glass New approaches for payment system simulation research 15 Chapter 3 Fabien Renault - Jean-Baptiste Pecceu From PNS to TARGET2: the cost of FIFO in RTGS payment system 41 Chapter 4 Neville M. Arjani Examining the tradeoff between settlement delay and intraday liquidity in Canada's LVTS: a simulation approach 87 Chapter 5 Kei Imakubo - James J. McAndrews Funding levels for the new accounts in the BOJ-NET 123 Chapter 6 Ana Lasaosa - Merxe Tudela Risks and efficiency gains of a tiered structure in large-value payments: a simulation approach 149 Chapter 7 Stefan W Schmitz - Claus Puhr Risk concentration, network structure and contagion in the Austrian Real Time Interbank Settlement System 183 Chapter 8 Elisabeth Ledrut How can banks control their exposure to a failing participant? 227 Chapter 9 Darcey McVanel The impact of unanticipated defaults in Canada's Large Value Transfer System 253 Chapter 10 Matti Hellqvist - Heli Snellman Simulation of operational failures in equities settlement 283
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".