{"id":"W2937185793","doi":"10.3390/jrfm12020068","title":"The Impact of Algorithmic Trading in a Simulated Asset Market","year":2019,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Algorithmic trading; Arbitrage; Asset (computer security); Statistical arbitrage; Financial economics; Pairs trade; Order (exchange); Econometrics; Trading strategy; Economics; Market impact; Work (physics); Market microstructure; High-frequency trading; Business; Alternative trading system; Capital asset pricing model; Risk arbitrage; Computer science; Arbitrage pricing theory; Monetary 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":[0.001984242,0.0004866424,0.0005233769,0.0006346726,0.0004024303,0.001279999,0.0007356111,0.001122801,0.002436076],"category_scores_gemma":[0.01484973,0.0002328215,0.0004255684,0.0004202706,0.001082665,0.00129879,0.00104343,0.001063594,0.0001110561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007213905,"about_ca_system_score_gemma":0.0007783679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005283138,"about_ca_topic_score_gemma":0.003122261,"domain_scores_codex":[0.9991828,0.0004035348,0.00005112444,0.00008549159,0.0001314894,0.0001456354],"domain_scores_gemma":[0.9861562,0.009899775,0.001562778,0.0008645316,0.0008757028,0.0006409764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003143255,0.0002520263,0.01065741,0.00003365979,0.00005322079,0.0001189334,0.00007832318,0.9751143,0.001655714,0.008529298,0.0002320077,0.002960695],"study_design_scores_gemma":[0.00003921709,0.0001890459,0.001252941,0.000005988101,0.00001303543,0.00001944876,0.00005262837,0.9943111,0.0007153818,0.00326326,0.0001269561,0.00001098934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990716,0.00005323106,0.006415031,0.0001473706,0.00001559284,0.00002597696,0.00009329129,0.00006005523,0.002473511],"genre_scores_gemma":[0.9975842,0.00001951718,0.002092626,0.00002769501,0.000002671958,0.00001229112,0.00004779386,0.000007627715,0.0002055856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005283138,"threshold_uncertainty_score":0.01050478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021088405235555,"score_gpt":0.2168188001188666,"score_spread":0.2066079160665111,"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."}}