{"id":"W4400383309","doi":"10.51153/mf.v7i1.535","title":"Time-varying Stock Market Integration and Diversification Opportunities within Developed Markets Using Aggregated Data Approach","year":2022,"lang":"en","type":"article","venue":"Market Forces","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Cointegration; Stock market; Stock (firearms); Panel data; Short run; Economics; Business; Economic geography; Monetary economics; Geography; Econometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009260658,0.000223089,0.0002791162,0.001960585,0.0002049299,0.001007045,0.000231523,0.0002131863,0.0009504768],"category_scores_gemma":[0.00256555,0.0001203087,0.0004624845,0.002556269,0.0001746607,0.0008505001,0.000608393,0.0003718396,0.0001036767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003369068,"about_ca_system_score_gemma":0.0002563723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018192,"about_ca_topic_score_gemma":0.01267889,"domain_scores_codex":[0.9996716,0.0001056031,0.00003292067,0.0000835044,0.0000543401,0.00005211722],"domain_scores_gemma":[0.9986036,0.0004496871,0.0004898106,0.0001494989,0.0001940599,0.0001133283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009310606,0.0000962658,0.9637936,0.00005272547,0.0006470414,0.0003756331,0.0003081575,0.01532948,0.0009097282,0.002719828,0.000513993,0.01516042],"study_design_scores_gemma":[0.000008006909,0.0001001046,0.937017,0.0000203203,0.0001659891,0.0001176246,0.0004776691,0.0573283,0.0006520326,0.002360505,0.001732656,0.00001979884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957136,0.0001718384,0.002265526,0.0000398,0.000005053385,0.000009406564,0.0009872488,0.00001030387,0.0007971301],"genre_scores_gemma":[0.9966791,0.0001155941,0.001098457,0.000008558644,0.000009842375,0.000009858655,0.001848079,0.000001879446,0.0002285781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01018192,"threshold_uncertainty_score":0.02024531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1259735416955463,"score_gpt":0.2517941124273209,"score_spread":0.1258205707317746,"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."}}