{"id":"W3124446431","doi":"","title":"An Empirical Investigation of Trading on Asymmetric Information and Heterogeneous Prior Beliefs","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Trading strategy; Information asymmetry; Algorithmic trading; Order (exchange); Pairs trade; High-frequency trading; Alternative trading system; Financial economics; Economics; Financial market; Empirical evidence; Econometrics; Empirical research; Actuarial science; Microeconomics; Finance; Mathematics; Statistics","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":[0.004170254,0.0002875811,0.0007068813,0.001281433,0.0004661952,0.002036202,0.0007634549,0.001047601,0.003321257],"category_scores_gemma":[0.06993899,0.0003379224,0.0003711945,0.002526967,0.001204357,0.003718384,0.000847064,0.001632087,0.0002326955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003748873,"about_ca_system_score_gemma":0.0002858173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436877,"about_ca_topic_score_gemma":0.00118594,"domain_scores_codex":[0.9986957,0.0005652623,0.0001236865,0.0001627654,0.0003159674,0.0001366233],"domain_scores_gemma":[0.8713342,0.1000317,0.02242382,0.004143469,0.001141497,0.0009252293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001286284,0.000861996,0.8667637,0.0001990039,0.0005202655,0.001464256,0.002335874,0.01887462,0.001911446,0.04104584,0.0008516212,0.06388507],"study_design_scores_gemma":[0.000168667,0.0005234815,0.7394865,0.00009201722,0.0003140449,0.001928966,0.002884727,0.1771111,0.001623073,0.07389332,0.001882857,0.00009119533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946254,0.0001980094,0.003312445,0.0001771144,0.000004025114,0.00001381089,0.00009718711,0.000009431405,0.001562438],"genre_scores_gemma":[0.9985745,0.0001856346,0.000720788,0.00002647624,0.00001928929,0.000009829798,0.0001746826,0.000003613988,0.0002851885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004170254,"threshold_uncertainty_score":0.02205467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589476686636886,"score_gpt":0.2237323104876771,"score_spread":0.2078375436213083,"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."}}