{"id":"W2082161880","doi":"10.1080/09603100500447529","title":"International correlations across stock markets and industries: trends and patterns 1988–2002","year":2006,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Diversification (marketing strategy); Stock (firearms); Volatility (finance); Stock market; Financial economics; Globalization; Monetary economics; Econometrics; Business; Market economy","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":[0.0008276764,0.0002626637,0.0003760334,0.004049198,0.0002190353,0.0008024402,0.0002575493,0.0002760694,0.001355844],"category_scores_gemma":[0.004395841,0.000173311,0.0002927933,0.007489231,0.0002333024,0.0005998503,0.0005235501,0.0004927649,0.0006030018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00051312,"about_ca_system_score_gemma":0.0003148454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007818773,"about_ca_topic_score_gemma":0.0132755,"domain_scores_codex":[0.9995363,0.0000501432,0.00009163305,0.0001018904,0.0001430991,0.0000769231],"domain_scores_gemma":[0.9914396,0.001094649,0.005171659,0.000439824,0.001565081,0.0002891303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007859589,0.00002389275,0.9838938,0.00003678807,0.00006371783,0.0000653835,0.0002287043,0.000357568,0.0002528274,0.0003098222,0.001950516,0.01273837],"study_design_scores_gemma":[0.000001904355,0.00001729127,0.9970201,0.000009322785,0.00001693669,0.0001176254,0.0001140483,0.0003523474,0.0001556439,0.00005733752,0.002133685,0.000003765007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850792,0.0009548947,0.0005433157,0.0002406896,0.0000155586,0.00001686281,0.008932945,0.0000741508,0.004142467],"genre_scores_gemma":[0.984037,0.0007970117,0.000605085,0.00003405199,0.00004420132,0.00002428592,0.013306,0.00001389056,0.001138401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007818773,"threshold_uncertainty_score":0.0155465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433528222528817,"score_gpt":0.2095974665030232,"score_spread":0.195262184277735,"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."}}