Oil price shocks and airlines stock return and volatility – A GFEVD analysis
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.
Bibliographic record
Abstract
Using the Generalized Forecast Error Variance Decomposition (GFEVD) method, this study assesses the effects of oil price shocks on both the return and volatility of aviation stocks. Specifically, we examine how different types of oil supply shocks—such as those related to oil supply, economic activity, oil consumption demand, and oil inventory—impact airline returns and volatility. Our findings indicate that fluctuations in airline returns primarily stem from economic activity shocks. However, the volatility of airlines is influenced by a range of shocks. Lastly, we offer important policy implications tailored for airline managers, market investors, and policymakers to navigate this relationship effectively. • This study assesses the effects of oil price shocks on both the return and volatility of aviation stocks. • We differentiate the impacts of different types of oil supply shocks. • Fluctuations in airline returns primarily stem from economic activity shocks. • The volatility of airlines is influenced by a range of shocks. • Policy implications are offered.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it