{"id":"W4392983398","doi":"10.3390/jrfm17030127","title":"The Current and Expected Pricing Markup as Derived from the Capital Asset Pricing Model and Tobin’s Q and Applied to the UK’s FTSE 100","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Markup language; Economics; Marginal cost; Capital asset pricing model; Tobin's q; Microeconomics; Financial economics; Monetary economics; XML; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003158408,0.0006845845,0.0006387865,0.0023057,0.0004644941,0.00615735,0.00139892,0.001856705,0.004220331],"category_scores_gemma":[0.02463992,0.000450803,0.0008985227,0.002636629,0.002184015,0.006236543,0.001156979,0.00247036,0.001336933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004209959,"about_ca_system_score_gemma":0.00132884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268493,"about_ca_topic_score_gemma":0.007062799,"domain_scores_codex":[0.9966936,0.0007184608,0.0002244056,0.0005442055,0.001618346,0.0002009003],"domain_scores_gemma":[0.9920638,0.00349976,0.002100853,0.0008547243,0.001322475,0.0001584447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001872547,0.00009327768,0.02806612,0.0003582023,0.0001484705,0.0005538053,0.0007127808,0.08187714,0.001830188,0.7930098,0.009364263,0.08379872],"study_design_scores_gemma":[0.0000442825,0.0003771383,0.09896302,0.0004702467,0.00009302875,0.001209774,0.0009343821,0.2495467,0.007700463,0.5670694,0.0731318,0.0004597609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.293021,0.007019875,0.5386249,0.005930475,0.001275735,0.0003230781,0.00569293,0.0009364422,0.1471756],"genre_scores_gemma":[0.9613502,0.001776612,0.02764796,0.0003101953,0.0001774054,0.0001285159,0.001822081,0.00009104865,0.006696092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01268493,"threshold_uncertainty_score":0.03054559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417376692637288,"score_gpt":0.2111426335523851,"score_spread":0.1969688666260122,"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."}}