{"id":"W3045811562","doi":"10.1002/ijfe.1828","title":"Cross-shareholding networks and stock price synchronicity: Evidence from China","year":2019,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Synchronicity; Stock price; Business; Monetary economics; Stock (firearms); Centrality; China; Economics; Econometrics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007652966,0.0002171772,0.0002598225,0.001586198,0.0004843989,0.0006753188,0.0003767517,0.0002345452,0.001668353],"category_scores_gemma":[0.002871156,0.00016448,0.0003012636,0.002456287,0.0006393998,0.0006688674,0.00073542,0.0002509269,0.000112433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006901914,"about_ca_system_score_gemma":0.00051903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05123735,"about_ca_topic_score_gemma":0.06372789,"domain_scores_codex":[0.9996698,0.00005974505,0.0000347253,0.00008276921,0.00008342426,0.00006956744],"domain_scores_gemma":[0.9956078,0.0009595457,0.002274345,0.0002778062,0.0004630348,0.0004175255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006313314,0.00003716535,0.9910421,0.00002559023,0.000109577,0.0003102974,0.001181649,0.0004683275,0.0005614841,0.0004604817,0.0001784582,0.005561601],"study_design_scores_gemma":[0.000004184441,0.00002215073,0.9978982,0.000003735566,0.00003340799,0.00003483749,0.0004829431,0.001069775,0.000127268,0.0001054649,0.0002128027,0.000005129398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993922,0.00008091717,0.00007239257,0.00004374456,0.000001494018,0.000002327297,0.00007726791,0.000001344738,0.0003283615],"genre_scores_gemma":[0.9997025,0.00007085842,0.00001937727,0.000006411602,0.000004572013,9.479128e-7,0.0001172337,5.039082e-7,0.00007754877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05123735,"threshold_uncertainty_score":0.1018782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07090144219374019,"score_gpt":0.178310421751267,"score_spread":0.1074089795575269,"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."}}