Energy price dynamics in the face of uncertainty shocks and the role of exchange rate regimes: A global cross-country analysis
Bibliographic record
Abstract
This paper investigates the impact of geopolitical risk (GPR) and global uncertainty (WUI) on energy prices across 185 economies from 1980 to 2023, while accounting for the role of exchange rate regimes. Using a panel fixed-effects model and a panel SVAR framework, we examine whether uncertainty shocks translate into energy price inflation and how exchange rate regimes influence these dynamics. The results indicate that geopolitical risk and global uncertainty have significant effects on energy prices, with stronger price reactions under flexible exchange rate regimes. We further decompose the effects by country classification, revealing that oil-exporting economies and emerging markets exhibit distinct responses. Our findings highlight the importance of exchange rate policies in mitigating uncertainty-driven energy price volatility. The paper contributes to the literature by providing a global empirical perspective on uncertainty-energy price interactions, with relevant implications for policymakers managing exchange rate regimes and energy market stability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".