{"id":"W2769221999","doi":"10.5539/ijef.v9n12p153","title":"Financial Distress Risk and Momentum Effects: Evidence from China’s Stock Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distress; Explanatory power; Stock market; China; Financial distress; Momentum (technical analysis); Economics; Stock (firearms); Financial economics; Large sample; Financial system; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008627602,0.0003813808,0.0002874378,0.001664579,0.0005190678,0.0009323459,0.0003660329,0.0005096508,0.002632793],"category_scores_gemma":[0.003312245,0.0001749075,0.0005668678,0.001845839,0.0006452528,0.0009059237,0.00089705,0.0006630519,0.0002142811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005428078,"about_ca_system_score_gemma":0.0006317096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.042478,"about_ca_topic_score_gemma":0.0478555,"domain_scores_codex":[0.9997066,0.00004640119,0.00003499861,0.00005452327,0.00007679949,0.00008067298],"domain_scores_gemma":[0.9932025,0.001423057,0.003619015,0.0003120272,0.0005551966,0.000888303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004224449,0.00003727245,0.9963134,0.0000119625,0.00007094937,0.0001169784,0.0001731826,0.0001091313,0.0001002104,0.0001664712,0.0001832376,0.002674974],"study_design_scores_gemma":[0.000006575813,0.00002460582,0.9989595,0.0000054282,0.00004462734,0.0000214821,0.0001608279,0.0005097368,0.00005159316,0.00006530905,0.0001465907,0.000003693614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986781,0.000329612,0.00004853804,0.0002204792,0.00000626686,0.000004528146,0.000143274,0.000002439632,0.0005666538],"genre_scores_gemma":[0.9992825,0.0002547874,0.00002066084,0.00002962384,0.0000243154,0.000001461578,0.0002233664,7.141351e-7,0.0001625055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.042478,"threshold_uncertainty_score":0.08446151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094372213323894,"score_gpt":0.2239833016750686,"score_spread":0.2130395795418297,"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."}}