{"id":"W3007029200","doi":"10.1016/j.ememar.2020.100689","title":"Individual investors' propensity to speculate and A-share premiums in China's A-shares and H-shares","year":2020,"lang":"en","type":"article","venue":"Emerging Markets Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Shares outstanding; Construct (python library); Arbitrage; China; Stock dilution; Monetary economics; Financial economics; Business; Short interest ratio; Sample (material); Economics; Finance; Market maker","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007453115,0.0002770181,0.0007567146,0.0001341208,0.0001041493,0.0001588822,0.0002367641,0.00006822376,0.000846307],"category_scores_gemma":[0.0008197763,0.0002792448,0.00006485663,0.0004345815,0.0000584635,0.0004237043,0.000345201,0.0002143998,0.00007887452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003133287,"about_ca_system_score_gemma":0.00002349401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001294399,"about_ca_topic_score_gemma":0.00002466137,"domain_scores_codex":[0.9981669,0.00006275867,0.0006829134,0.0006716473,0.00007178195,0.0003440467],"domain_scores_gemma":[0.999249,0.00003001333,0.0002296889,0.0002241231,0.00002078893,0.0002463601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002135397,0.0002099472,0.5561308,0.0303759,0.0002431313,0.0001537035,0.005142647,0.00001600236,0.0000604879,0.1019455,0.2193532,0.08615519],"study_design_scores_gemma":[0.0002840395,0.0000859734,0.643677,0.002178099,0.00001364719,0.000004998193,0.0000141668,0.0001207175,0.000005896562,0.0019871,0.351233,0.0003953533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4987785,0.4430587,0.00002097017,0.02351166,0.0002270452,0.002057772,0.0004436235,0.000102051,0.03179974],"genre_scores_gemma":[0.728653,0.2509516,0.001277868,0.01785502,0.0002449417,0.0002035924,0.000130262,0.0000962831,0.0005874612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2298745,"threshold_uncertainty_score":0.999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05630643002035746,"score_gpt":0.2398293536664956,"score_spread":0.1835229236461382,"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."}}