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Record W7149352036 · doi:10.17132/2693-3179.1356

Canada: Commercial Paper Purchase Program

2022· article· en· W7149352036 on OpenAlexaboutno aff
Lily Engbith

Bibliographic record

VenueJournal of Financial Crises · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsAsset (computer security)Market liquiditySettlement (finance)Commercial bankRevenue

Abstract

fetched live from OpenAlex

In response to the onset of the COVID-19 crisis in early 2020, the Bank of Canada (BoC) enacted a wide-ranging program of monetary measures intended to support the flow of credit to individuals, firms, and municipalities. On March 27, 2020, the BoC announced the establishment of the Commercial Paper Purchase Program (CPPP), a liquidity facility designed to purchase highly rated commercial paper (CP), including asset-backed CP, from Canadian incorporated firms, municipalities, and provincial agencies. The BoC funded the program using settlement balances, and it retained several private firms to manage the asset purchases and liaise with issuers. Although firms took advantage of the program during its first month of operations, usage declined rapidly thereafter; the BoC's CP holdings peaked at approximately 3.0 billion Canadian dollars (CAD) (USD 2.2 billion) the week of April 29, 2020. Alongside the BoC's other large-scale asset purchase programs, the CPPP helped to quickly restore normal market functioning. The CPPP began making purchases on April 2, 2020, and operated for 12 months, terminating as scheduled on April 1, 2021.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.229
Teacher spread0.170 · 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.

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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