{"id":"W3121375772","doi":"","title":"News Shocks and Asset Prices","year":2015,"lang":"en","type":"article","venue":"LSE Research Online Documents on Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Business cycle; Shock (circulatory); Asset (computer security); Monetary economics; Consumption (sociology); Dividend; Investment (military); Econometrics; Productivity; Stock (firearms); Quarter (Canadian coin); Capital asset pricing model; Variance (accounting); Financial economics; Macroeconomics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001515886,0.0002157978,0.0004241939,0.0004519415,0.0001651823,0.000430513,0.0003711394,0.0001350635,0.0001721403],"category_scores_gemma":[0.000348225,0.0002320626,0.00006329185,0.0002044519,0.0001864255,0.0007611959,0.0002332887,0.0003858397,0.0005975149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003044347,"about_ca_system_score_gemma":0.0001164827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008359425,"about_ca_topic_score_gemma":0.0002283628,"domain_scores_codex":[0.9980021,0.0000440985,0.0006203591,0.0006332132,0.0000792015,0.0006209917],"domain_scores_gemma":[0.9987838,0.0001184675,0.0002051013,0.0004657143,0.00007194282,0.0003549768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001508484,0.0004590691,0.04689387,0.0000332826,0.00007764217,0.000009986829,0.000245473,0.00009705209,0.000003010855,0.9278002,0.01835721,0.005872341],"study_design_scores_gemma":[0.001287615,0.00068691,0.02011055,0.00002465729,0.000002802295,0.000003976751,0.0005494056,0.002023039,0.00002332307,0.2980663,0.6768463,0.0003751232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628106,0.001185213,0.00001857613,0.004257515,0.0003735238,0.000364626,0.0003364796,0.00003587465,0.1306176],"genre_scores_gemma":[0.9732811,0.01245721,0.002324065,0.001694221,0.0006833025,0.00009407081,0.0002352862,0.00008957106,0.009141126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.658489,"threshold_uncertainty_score":0.9463238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1672501463652054,"score_gpt":0.3587171426014856,"score_spread":0.1914669962362802,"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."}}