Risk, Financial Stability and FDI
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".