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Record W3123737102

International Monetary Policy Transmission through Banks in Small Open Economies

2018· preprint· en· W3123737102 on OpenAlexaboutno aff
Simone Auer, Christian Friedrich, Maja Ganarin Wallmer, Teodora Paligorova, Pascal Towbin

Bibliographic record

VenueRePEc: Research Papers in Economics · 2018
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsMonetary policyInternational bankingPortfolioInternational economicsTransmission channelTransmission (telecommunications)Monetary economicsEconomicsMonetary baseMonetary hegemonyCredit channelInternational financeBusinessInflation targetingFinancial systemFinance
DOInot available

Abstract

fetched live from OpenAlex

This paper studies the international transmission of monetary policy through banks in small open economies using the examples of Switzerland and Canada. We assess the inward transmission of foreign monetary policy for Switzerland and the outward transmission of domestic monetary policy for Canada. In both country cases, we focus on the international bank lending and the international portfolio channel, which make opposing predictions about how monetary policy transmits internationally through banks. Our results on the inward transmission of foreign monetary policy through banks in Switzerland are consistent with a role for the international portfolio channel, but we find no evidence for the traditional international bank lending channel. The results on the outward transmission of domestic monetary policy in Canada suggest that foreign lending by Canadian banks is affected through both channels, which work as predicted and largely balance each other.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.064
GPT teacher head0.328
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2018
Admission routes1
Has abstractyes

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