{"id":"W4379911841","doi":"10.54254/2754-1169/6/20220198","title":"Research on the Stock Investment Value of Hong Kong Stock Connect based on Factor Analysis","year":2023,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Stock (firearms); Order (exchange); Portfolio; Operations research; Investment value; Modern portfolio theory; Financial economics; Computer science; Econometrics; Business; Actuarial science; Economics; Finance; Engineering","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":[0.0007805675,0.000351101,0.0003366571,0.002408908,0.0003806698,0.001400214,0.0002251809,0.000162942,0.001722844],"category_scores_gemma":[0.002837669,0.0001757161,0.0004513846,0.003306653,0.0003596034,0.001381529,0.0002966967,0.0003206457,0.0001274623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925675,"about_ca_system_score_gemma":0.0008803743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03649329,"about_ca_topic_score_gemma":0.02838985,"domain_scores_codex":[0.9996953,0.00004675754,0.00003333129,0.00006358322,0.0001207676,0.0000403096],"domain_scores_gemma":[0.9987137,0.0004499059,0.0002496332,0.00006214201,0.0004489304,0.00007557257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001117949,0.00005282397,0.8269647,0.0001813999,0.0003545285,0.0005116246,0.0017662,0.01392919,0.001467529,0.02028534,0.002132813,0.1322421],"study_design_scores_gemma":[0.0000115133,0.0001242117,0.8874729,0.0001211902,0.0002435638,0.0002537498,0.002329137,0.09472246,0.001617309,0.006264947,0.006763102,0.00007594316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775235,0.001468975,0.01094635,0.00034243,0.00005148696,0.00003562682,0.0004815826,0.00003071789,0.009119248],"genre_scores_gemma":[0.9959666,0.0006518483,0.001909869,0.00001275338,0.00002228994,0.00001037082,0.0002183057,0.000003913433,0.001204083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03649329,"threshold_uncertainty_score":0.0725618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2538213103436641,"score_gpt":0.4854570746107668,"score_spread":0.2316357642671026,"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."}}