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Record W4391328863 · doi:10.3386/w32092

Convenience Yields and Exchange Rate Puzzles

2024· report· en· W4391328863 on OpenAlexaff
Zhengyang Jiang, Arvind Krishnamurthy, Hanno Lustig, Jialu Sun

Bibliographic record

VenueNational Bureau of Economic Research · 2024
Typereport
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsExchange rateComputer scienceEconomicsMonetary economics

Abstract

fetched live from OpenAlex

We introduce safe asset demand for dollar-denominated bonds into a tractable incomplete-market model of exchange rates.The convenience yield on dollar bonds enters as a stochastic wedge in the Euler equations for exchange rate determination.This wedge reduces the pass-through from marginal utility shocks to exchange rate movements, resolving the exchange rate volatility puzzle.The wedge also exposes the dollar's exchange rate to convenience yield shocks, giving rise to exchange rate disconnect from macro fundamentals and a quantitatively important driver of currency risk premium.This endogenous exposure identifies a novel safe-asset-demand channel by which the Fed's QE impacts the dollar and long-term U.S. Treasury bond yields.

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)0.013
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.378
GPT teacher head0.466
Teacher spread0.087 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations8
Published2024
Admission routes1
Has abstractyes

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