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Record W7149553868 · doi:10.17132/2693-3179.1322

Canada: Contingent Term Repo Facility

2022· article· en· W7149553868 on OpenAlexaboutno aff
Sharon M Nunn

Bibliographic record

VenueJournal of Financial Crises · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMarket liquidityLiberian dollarQuarter (Canadian coin)Repurchase agreementAsset (computer security)Term (time)Government (linguistics)Money market

Abstract

fetched live from OpenAlex

The Bank of Canada (BoC) activated its Contingent Term Repo Facility (CTRF) from April 2020 to April 2021 in response to liquidity strains in markets that stemmed from economic uncertainty and the COVID-19 pandemic. The facility complemented other BoC liquidity facilities by broadening access to the central bank’s repurchase (repo) operations beyond primary dealers and their affiliates, to large asset managers active in Canadian dollar money markets or fixed income markets. The CTRF offered one-month term funding to eligible counterparties on a bilateral basis against securities issued or guaranteed by the government of Canada or a provincial government. In the second quarter of 2020, the BoC lent CAD 291.8 million (USD 223 million) through the CTRF. BoC officials said the facility was “little used” because funding market conditions improved rapidly, and the facility’s pricing and terms meant “regular market sources of funding became more favorable.” Officials from large pension funds, which play a major role in Canadian repo markets, reported that though they accessed the CTRF for lower amounts, it helped restore their confidence by providing backstop repo rates, “[alleviating] some of the need to build up precautionary liquidity.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.277
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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