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Record W1570791696 · doi:10.1017/cbo9780511549281

Exchange Rate Volatility, Trade, and Capital Flows under Alternative Exchange Rate Regimes

2000· preprint· en· W1570791696 on OpenAlexaff
Piet Sercu, Raman Uppal

Bibliographic record

VenueCambridge University Press eBooks · 2000
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEconomicsExchange rateCapital flowsMonetary economicsVolatility (finance)International economicsEconometricsMarket economy

Abstract

fetched live from OpenAlex

Recent years have seen a substantial increase in the volatility of exchange rates. This trend has prompted economists and finance analysts to question if the observed behaviour of exchange rates is consistent with a rational model. Does that volatility hinder trade? What are financial markets' effects on countries' investment decisions, and how would changes in fixed exchange rates affect growth and welfare? What are the requirements to make such changes feasible? Professors Sercu and Uppal examine these issues in the context of dynamic general equilibrium models, explicitly considering the role of financial markets while allowing for commodity markets to be segmented across countries. They show that the theoretical models for exchange rates in this context are quite different from those put forth by monetary theorists and proponents of purchasing power parity arguments.

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)0.002
metaresearch head score (Gemma)0.009
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0050.004
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.071
GPT teacher head0.214
Teacher spread0.142 · 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

Citations22
Published2000
Admission routes1
Has abstractyes

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