{"id":"W2953781118","doi":"10.2139/ssrn.2857674","title":"What Is the Optimal Trading Frequency in Financial Markets?","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Allocative efficiency; High-frequency trading; Common value auction; Asset (computer security); Double auction; Economics; Microeconomics; Private information retrieval; Financial market; Business; Econometrics; Financial economics; Algorithmic trading; Finance; Computer science","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":[0.002628011,0.0003382373,0.001070162,0.0009790154,0.0004090064,0.002797236,0.0008080104,0.00234434,0.002664396],"category_scores_gemma":[0.03850923,0.0005749673,0.0003390101,0.0007397778,0.001300922,0.006048677,0.000577986,0.001086692,0.0005165396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005557201,"about_ca_system_score_gemma":0.0006811272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000615846,"about_ca_topic_score_gemma":0.0005470946,"domain_scores_codex":[0.9990517,0.000435354,0.00007917821,0.0001723354,0.0001339993,0.0001274071],"domain_scores_gemma":[0.972392,0.02192004,0.003066262,0.0007140806,0.0009152569,0.0009923307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00215428,0.001107688,0.07441411,0.001292781,0.0006667133,0.0009985848,0.0008081631,0.191997,0.02457677,0.3529205,0.01054462,0.3385188],"study_design_scores_gemma":[0.0002253805,0.0001831514,0.02087565,0.0001324405,0.0001116016,0.0008752328,0.0007051393,0.3017664,0.002520998,0.6710666,0.001453937,0.00008346843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857838,0.003765679,0.09130878,0.006313625,0.000233686,0.00002851049,0.0002011,0.0002009041,0.01216392],"genre_scores_gemma":[0.9928109,0.000646291,0.005754983,0.0001182449,0.0001967921,0.00001083938,0.00002706961,0.00003203858,0.0004028036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002797236,"threshold_uncertainty_score":0.01389843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449218113006876,"score_gpt":0.2059717544766343,"score_spread":0.1914795733465656,"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."}}