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Record W3123528320

Risk, Financial Stability and FDI

2018· preprint· en· W3123528320 on OpenAlex
Neil Kellard, Alexandros Kontonikas, Michael J. Lamla, Stefano Maiani, Geoffrey Wood

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOpen Access at Essex (University of Essex) · 2018
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsWestern University
Fundersnot available
KeywordsForeign direct investmentFinancial stabilityBusinessInternational economicsSovereigntyRisk aversion (psychology)Financial systemPanel dataMonetary economicsEconomicsFinancial economicsMacroeconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

All Foreign Direct Investment (FDI) involves risk. Augmenting the international finance literature, we assess the effects of financial system risk on FDI trends through considering both origin and host country effects. Motivated by the sovereign debt crisis and based on a dataset including bilateral FDI holdings, this paper investigates the implications of sovereign and bank-related risk on FDI in the Eurozone. Strikingly, we find that in terms of banking risk, it is only that encountered in the country of origin that has an impact on FDI choices. However, we find that sovereign risk, in both origin and host countries, have effects. As a corollary, we suggest that although poor financial discipline by host governments has been widely blamed as the primary factor likely to frighten off overseas investors, it is amongst FDI supplying nations that the effects of sovereign yields seem most pronounced. Policymakers in countries seeking to attract FDI should not only be attentive to domestic conditions, but also be aware of the financing environment that multinational enterprises (MNEs) encounter in their home countries and how this might impact on their choices.

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.

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 categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.014
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.073
GPT teacher head0.283
Teacher spread0.210 · 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