{"id":"W4380990351","doi":"10.1177/21582440231178666","title":"Do Bubbles in the Bitcoin Market Impact Stock Markets? Evidence From 10 Major Stock Markets","year":2023,"lang":"en","type":"article","venue":"SAGE Open","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Composite index; Stock exchange; Equity (law); Stock market index; Economics; Stock (firearms); Autoregressive conditional heteroskedasticity; Stock market bubble; Explosive material; Stock market; Financial economics; Index (typography); Econometrics; Monetary economics; Emerging markets; Volatility (finance); Finance; Geography; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001265159,0.0003116677,0.0002872843,0.001294625,0.0003052628,0.001136467,0.0002960214,0.0005705199,0.001856911],"category_scores_gemma":[0.009762538,0.0001503284,0.0003051063,0.001219252,0.0005133134,0.00142779,0.0007777965,0.0007732431,0.0003106389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003022481,"about_ca_system_score_gemma":0.0001969058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009326586,"about_ca_topic_score_gemma":0.01004909,"domain_scores_codex":[0.9994253,0.0001720676,0.00005891218,0.000104581,0.0001563869,0.00008279277],"domain_scores_gemma":[0.9847647,0.006552318,0.00651066,0.0005181729,0.0007459543,0.0009082257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004899204,0.0001264378,0.9869272,0.00004703956,0.0001880949,0.0002309295,0.0002170973,0.0007040817,0.000833424,0.000471917,0.000945967,0.008817903],"study_design_scores_gemma":[0.00002264883,0.0001047491,0.9931446,0.00002363994,0.0001088704,0.00009434979,0.0003889278,0.004018079,0.0006727598,0.0004023797,0.001006826,0.0000122427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973941,0.0006409548,0.0001223918,0.000442067,0.00001039726,0.000004922964,0.0004659285,0.000008296644,0.0009109544],"genre_scores_gemma":[0.9985223,0.0004623546,0.0000549703,0.00006408057,0.000046681,0.000002921535,0.0006819269,0.000004290347,0.0001604512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009326586,"threshold_uncertainty_score":0.01854455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06549753229370618,"score_gpt":0.3076155692543189,"score_spread":0.2421180369606127,"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."}}