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Record W6981568813

Equity valuation : WestJet Airlines

2019· dissertation· en· W6981568813 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório Institucional da Universidade Católica Portuguesa (Universidade Católica Portuguesa) · 2019
Typedissertation
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsValuation (finance)Discounted cash flowPre-money valuationEquity (law)Market valueCash flowMarket priceIntrinsic value (animal ethics)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this dissertation was to determine if a discrepancy was present in the market value of WestJet Airlines (WJA.TO) relative to its computed intrinsic value. WJA.TO is one of two major airlines that services the Canadian market and has experienced significant growth in its 25 years of tenure. As such, they appear to have entered into a state of maturity which now prompts the question, “what is their true value”. To thoroughly answer this question, an in-depth analysis of past market conditions as well as future market expectations and the competitive landscape were assessed in conjunction with WestJet’s historical performance. The Discounted Cash Flow method was used in tandem with a Relative Valuation approach to arrive at a value of $35.41/share CAD with the current share price hovering at $31/share CAD. Because the current $31/share was a market reaction to the Onex offer, the recommendation would be to Hold the stock as investment theory dictates that price is unlikely to move beyond that $31/share threshold. This valuation was directly compared to two analysts’ reports, one preceding the Onex deal and one proceeding it, with a $35/share price more closely aligning with the analyst report following the announcement.

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.

How this classification was reachedexpand

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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.042
GPT teacher head0.308
Teacher spread0.267 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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