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Record W583500587 · doi:10.1017/s1365100516000134

FINANCIAL NEWS, BANKS, AND BUSINESS CYCLES

2016· article· en· W583500587 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMacroeconomic Dynamics · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsMcMaster UniversityCarleton University
Fundersnot available
KeywordsBusiness cycleEconomicsPortfolioInterest rateShock (circulatory)BondLoanMonetary economicsMonetary policyFinanceImperfectCapital (architecture)Financial marketFinancial acceleratorFinancial systemMacroeconomicsDynamic stochastic general equilibrium

Abstract

fetched live from OpenAlex

In a model where banks face a capital sufficiency requirement, we demonstrate that news about a fall in the expected return on a portfolio of international long bonds held by a bank leads to an immediate and persistent fall in economic activity. Even if the news never materializes, economic activity falls below steady state for several periods, followed by a recovery. The portfolio adjustment induced by the capital sufficiency requirements leads to a rise in loan rates and tighter credit conditions, which trigger the fall in activity. We contribute to the news-shock literature by showing that imperfect signals about future financial returns can create business cycles without relying on the usual suspects—shocks to technology, preferences, or fiscal policy—and to the emerging economy business cycle literature in that disturbances in world financial markets can cause domestic business cycles without shocks to the world interest rate or to country spreads.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
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)0.0000.001

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 head0.010
GPT teacher head0.199
Teacher spread0.189 · 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