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Record W1528844352

Does a Low Interest Rate Environment Affect Risk Taking in Austria

2010· article· en· W1528844352 on OpenAlex
Paul Gaggl, María Teresa Valderrama

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMonetary Policy & the Economy · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCredit Risk and Financial Regulations
Canadian institutionsnot available
Fundersnot available
KeywordsMonetary policyInterest rateEconomicsQuarter (Canadian coin)Monetary economicsLoanCredit channelPortfolioCredit riskBasis pointFinancial economicsActuarial scienceFinanceInflation targeting
DOInot available

Abstract

fetched live from OpenAlex

It has recently been argued that a prolonged period of low interest rates under benign economic conditions tends to produce excessive risk taking in financial markets. The mechanism by which monetary policy affects investors’ risk positions has been called the “risk-taking channel” of monetary policy. We discuss this channel and compare it with the more traditional broad credit channel. Furthermore, we provide new evidence on the existence of this channel, using Austrian firm and bank data taken from the OeNB’s credit register. In particular, we show that the expected default rates within Austrian banks’ business-loan portfolios increased during the period of low refinancing rates from 2003 to 2005. This result is new and important in at least two respects: first, we construct a measure of Austrian banks’ portfolio risk on the basis of a matched lender and borrower dataset. Second, we specifically identify the effect of a monetary policy regime which is characterized by interest rates that are held at a low level for too long, as opposed to the more traditional effect of monetary policy “shocks, ” usually identified through quarter-on-quarter changes in short-term interest rates.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.224
Teacher spread0.200 · 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