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Record W3121903335 · doi:10.1093/rof/rfv054

International Firm Investment under Exchange Rate Uncertainty

2015· article· en· W3121903335 on OpenAlexaff
Alexandre Jeanneret

Bibliographic record

VenueEuropean Finance Review · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCapital Investment and Risk Analysis
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsVolatility (finance)Foreign direct investmentExchange rateEconomicsMonetary economicsInvestment (military)BusinessFinancial economicsInternational economicsMacroeconomics

Abstract

fetched live from OpenAlex

Abstract This article develops a real options theory to examine the effects of exchange rate uncertainty on foreign direct investment. Firms face a choice between participating in foreign markets through exports or investing abroad to relocate production. The model predicts that the most productive firms invest abroad when exchange rate volatility is low and export otherwise, whereas the least productive firms invest abroad when volatility is high. Aggregation over heterogeneous firms produces a negative and nonlinear relation between exchange rate uncertainty and total international investment. An analysis of eighty-four developed and emerging economies over the 1996–2012 period provides empirical support for the model’s predictions.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.703
Threshold uncertainty score0.993

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.008

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 head0.094
GPT teacher head0.263
Teacher spread0.168 · 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
GenreReview

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

Citations15
Published2015
Admission routes1
Has abstractyes

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