{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002250219,0.0001668316,0.0002873624,0.0001004371,0.0001506882,0.0001494322,0.0002836187,0.0001189071,0.001027225],"category_scores_gemma":[0.0000553025,0.0002068604,0.00007504594,0.0002897025,0.00009553166,0.001031614,0.0001685002,0.0001807801,0.0002468255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240647,"about_ca_system_score_gemma":0.00002197643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009675447,"about_ca_topic_score_gemma":0.00002476499,"domain_scores_codex":[0.9988028,0.00001658875,0.0002181067,0.0006444461,0.00001592614,0.0003021507],"domain_scores_gemma":[0.9992128,0.000102717,0.0002151964,0.0003590529,0.00002005096,0.0000901901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004160902,0.00002267157,0.7411231,0.0000224891,0.00003043689,0.0000147968,0.00007365902,0.01696922,0.00001024385,0.241485,0.0001049989,0.0001017954],"study_design_scores_gemma":[0.0004713165,0.00009233882,0.7984682,0.00008669799,0.000008441057,8.922347e-7,0.00003520009,0.1793759,0.000008538631,0.01926376,0.001880039,0.0003087157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770172,0.0018525,0.006463147,0.00003987069,0.0003119591,0.0001931903,0.00004152896,0.00004878851,0.01403177],"genre_scores_gemma":[0.9962032,0.001197402,0.00005727992,0.00008506556,0.00007261916,5.942599e-7,0.000007449275,0.00001566392,0.002360669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2222212,"threshold_uncertainty_score":0.999886,"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."}}