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Record W4230074512 · doi:10.24149/gwp48

Does Foreign Exchange Reserve Decumulation Lead to Currency Appreciation?

2010· article· en· W4230074512 on OpenAlexafffund
Kathryn M.E. Dominguez, Rasmus Fatum, Pavel Vacek

Bibliographic record

VenueFederal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCurrencyMonetary economicsValuation (finance)Unintended consequencesBusinessForeign-exchange reservesValue (mathematics)EconomicsRelative valueStore of valueFinance

Abstract

fetched live from OpenAlex

Many developing countries have increased their foreign reserve stocks dramatically in recent years, often motivated by the desire for precautionary self-insurance. One of the negative consequences of large accumulations for these countries is the risk of valuation losses. In this paper we examine the implications of systematic reserve decumulation by the Czech authorities aimed at mitigating valuation losses on euro-denominated assets. The policy was explicitly not intended to influence the value of the koruna relative to the euro. Initially the timing and size of reserve sales was not predictable, eventually sales occurred on a daily basis (in three equal installments within the day). This project examines whether these reserve sales, both during the regime of discretionary timing as well as when sales occurred every day, had unintended consequences for the domestic currency. Our findings using intraday exchange rate data and time-stamped reserve sales indicate that when decumulation occurred every day these sales led to significant appreciation of the koruna. Overall, our results suggest that the manner in which reserve sales are carried out matters for whether reserve decumulation influences the relative value of the domestic currency.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.033
GPT teacher head0.271
Teacher spread0.238 · 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 designNot applicable
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

Citations0
Published2010
Admission routes2
Has abstractyes

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