MétaCan
Menu
Back to cohort
Record W1575402169

Desarrollo del Mercado de Derivados Cambiarios en Chile

2007· article· es· W1575402169 on OpenAlexaboutno aff
Luis Antonio Ahumada, C Jorge Selaive

Bibliographic record

VenueRePEc: Research Papers in Economics · 2007
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicRisk Management in Financial Firms
Canadian institutionsnot available
Fundersnot available
KeywordsExchange rateDerivatives marketEconomicsForeign exchange marketInternational economicsMonetary economicsEconomyFinancial economics
DOInot available

Abstract

fetched live from OpenAlex

This article develops an international comparison, characterization and econometric evaluation about the development of Chilean FX derivatives market using a unique database of exchange rate operations performed by residents against domestic and international counterparts. The level of activity of the Chilean spot exchange rate market as well as its transaction costs are similar to those in more advanced economies, and a level of exchange rate derivative market above other emerging economies, yet at a significant distance from developed economies. Also, the article reports a growing number of foreign counterparts and a maturity of derivatives contracts slightly above the world average. From the cross country level regressions, it is worth mentioning the positive role of flexible exchange rate regimes as well as the negative effect of international reserve accumulation on the development of the exchange rate market. It is shown that the Chilean FX activity converges to the levels suggested by the estimation, according to the fundamentals of the economy. Nonetheless, it states at a significant distance from countries like Australia, New Zealand, and Canada.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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 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

Citations9
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueRePEc: Research Papers in EconomicsSame topicRisk Management in Financial FirmsFrench-language works237,207