{"id":"W2791602559","doi":"10.6000/1929-7092.2018.07.04","title":"Economic Integration and Stock Market Comovement: An Empirical Study Pairing Pakistan’s Stock Exchange with 21 other Markets","year":2018,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Stock exchange; Stock (firearms); Equity (law); Stock market; Capital market; Monetary economics; Stock market bubble; Financial economics; Finance","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":[0.0006404982,0.0002745769,0.0003573556,0.001725348,0.000582815,0.001304106,0.0002178662,0.0004273396,0.001980892],"category_scores_gemma":[0.002056765,0.0001721789,0.0005070575,0.002387719,0.0003715212,0.001109153,0.0008669061,0.0006736725,0.0003942141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004391052,"about_ca_system_score_gemma":0.0004591829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009559377,"about_ca_topic_score_gemma":0.009908046,"domain_scores_codex":[0.9996461,0.00007067342,0.00004445116,0.00006010481,0.00008751222,0.00009126529],"domain_scores_gemma":[0.997529,0.0006724133,0.00109984,0.0001143535,0.0002577812,0.0003265849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004938617,0.0000824313,0.9959856,0.00001031064,0.00008104635,0.0003343099,0.0002617763,0.0001705324,0.0001016271,0.0001583714,0.0001674071,0.002597164],"study_design_scores_gemma":[0.00000403559,0.00008885439,0.9971153,0.000007842326,0.00004040425,0.0001952335,0.00103166,0.0009023682,0.0001059788,0.00006893653,0.0004338941,0.000005621348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990162,0.0001026669,0.00005840751,0.00003875595,0.000003959426,0.000005008192,0.0001903172,0.000001477561,0.0005832151],"genre_scores_gemma":[0.9990001,0.0001289702,0.00004701575,0.000009719938,0.00001419248,0.000002382001,0.0005790461,8.820491e-7,0.0002176629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009559377,"threshold_uncertainty_score":0.01900744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691428154206717,"score_gpt":0.3144969336572158,"score_spread":0.2675826521151486,"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."}}