American Airlines first-quarter developments
Bibliographic record
Abstract
MORNING STAR AMERICAN AIRLINESWeâre maintaining our $41 fair value estimate after American Airlines updated investors on several first-quarter developments.While the market reacted severely to Americanâs update, we only made minor alterations to our 2019 forecast and held our long-term assumptions. When adjusting our model, we gradually raised 2019âs capacity growth for managementâs marginally higher first-quarter available seat miles.Higher capacity growth in our model doesnât translate to materially lower unit costs because indefinite MAX groundings and other issues in todayâs update imply American will suffer from sub-optimal flying with MAX aircraft out of service.We suspect network reorganization and potential retirement delays will undermine the cost savings American planned for early 2019. We also expect MAX groundings to weigh on expected unit revenue inflation,because of lower unit revenue expectations. American now guides for unit revenue growth with a midpoint around 50 basis points instead of 1%.Americanâs update revealed 1,200 flight cancelations thanks to MAX groundings and more announced cancelations through June 5, 2019... but the carrier stopped short of calling out financial costs related to suspensions. We preserved our full-year unit revenue growth target, below 1%, amid MAX cancelations, managementâs lowered TRASM growth range, and reported demand softness in leisure and Atlantic markets.We still expect total unit costs will fall below 2018âs $.1485, sliding a little under 2% thanks to lower oil prices.However, we lowered our per unit fuel cost decline by 1 percentage point after observing managementâs revised jet fuel price projection ($2.02 to $2.07), which is incrementally higher than the top end of its previous guided range ($1.97 to $2.02).Operating margins for 2019 are only about 10 basis points lower than our previous forecast following our valuation updates.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.014 |
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; both teacher heads agree on what is shown here.
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".