{"id":"W4384469414","doi":"10.54097/hbem.v15i.9461","title":"Analysis of the Jet Fuel Price Risk Exposure and Optimal Hedging in the Airline Industry","year":2023,"lang":"en","type":"article","venue":"Highlights in Business Economics and Management","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Jet fuel; Volatility (finance); Revenue; Spot market; Business; Risk management; Spot contract; Price fluctuation; Industrial organization; Petroleum industry; Economics; Finance; Financial economics; Environmental science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001149803,0.0002445433,0.0003946014,0.001223295,0.0001739763,0.0002653092,0.0005312155,0.000113272,0.00001115691],"category_scores_gemma":[0.00003636627,0.0001637408,0.00007506627,0.003673958,0.0001115213,0.000536708,0.000881299,0.0001830077,0.000008556621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003667992,"about_ca_system_score_gemma":0.000007569449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008826287,"about_ca_topic_score_gemma":0.001670513,"domain_scores_codex":[0.9984846,0.00002799715,0.0005438327,0.0004579444,0.0001501697,0.0003354882],"domain_scores_gemma":[0.9989872,0.00007079385,0.000380113,0.0005081084,0.00004424979,0.000009565438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004508408,0.0001313375,0.3000957,0.0005555809,0.0003388184,0.00002781855,0.00039943,0.06143479,0.000001292081,0.631606,0.0009776781,0.004386436],"study_design_scores_gemma":[0.0005248038,0.000003317001,0.8376791,0.00005105684,0.0003408957,2.765402e-7,0.0005040847,0.02118608,8.697762e-7,0.00109557,0.1384281,0.0001858985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842336,0.0001617808,0.00005619142,0.009842119,0.0003515719,0.0006545704,0.000008011475,0.00004736629,0.004644836],"genre_scores_gemma":[0.9835474,0.01519915,0.00009087649,0.000627179,0.0001661854,0.00007805522,0.00002104899,0.00002764175,0.0002424963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6305104,"threshold_uncertainty_score":0.6677154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122501583844758,"score_gpt":0.2028237664568947,"score_spread":0.1905736080724189,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}