{"id":"W2119298172","doi":"10.5539/ijef.v4n4p182","title":"Testing the Contemporaneous and Causal Relationship between Trading Volume and Return in the Palestine Exchange","year":2012,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Granger causality; Economics; Econometrics; Volume (thermodynamics); Palestine; Autoregressive conditional heteroskedasticity; Heteroscedasticity; Causality (physics); Financial economics; Test (biology); History; Geology","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":[0.001807198,0.0003398831,0.0003313759,0.001202376,0.0005131153,0.001358452,0.0004111694,0.0006014483,0.002323668],"category_scores_gemma":[0.008623755,0.0002675489,0.0004047208,0.001096837,0.0004728222,0.001053846,0.001018044,0.001000554,0.0002939953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004873319,"about_ca_system_score_gemma":0.001003328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008989736,"about_ca_topic_score_gemma":0.006678275,"domain_scores_codex":[0.9992692,0.0003140754,0.00007080042,0.0001198524,0.0001148947,0.0001111983],"domain_scores_gemma":[0.9953063,0.002747472,0.001154062,0.00024685,0.0002557534,0.0002894508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001609865,0.0001976276,0.9892597,0.00002233181,0.0001267204,0.0005176868,0.0003829836,0.001117995,0.0004549426,0.001105581,0.0001158069,0.00653764],"study_design_scores_gemma":[0.00003498563,0.0003069549,0.9842404,0.00003881215,0.000133583,0.0002812658,0.001637779,0.01061531,0.0006412555,0.001242226,0.0008098151,0.00001753389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985203,0.0001487476,0.0001645594,0.0001056274,0.000008633254,0.000003719911,0.00004170425,0.00000310721,0.001003553],"genre_scores_gemma":[0.9993305,0.0001520088,0.0001072998,0.00001710385,0.00001286054,0.000002890481,0.00009828825,0.000001184144,0.0002778553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008989736,"threshold_uncertainty_score":0.01787478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09033538207306252,"score_gpt":0.2537508247354667,"score_spread":0.1634154426624042,"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."}}