{"id":"W4304845682","doi":"10.1017/s0022109022001077","title":"When Bigger is Better: The Impact of a Tiny Tick Size on Undercutting Behavior","year":2022,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Tick size; Market liquidity; Volatility (finance); Tick; Equity (law); Transaction cost; Monetary economics; Economics; Business; Econometrics; Microeconomics; Ecology; Biology","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":[0.001958059,0.0002364988,0.0003419259,0.0004030915,0.0003789824,0.001487216,0.0003706658,0.0005198995,0.008280322],"category_scores_gemma":[0.02566339,0.0001325127,0.0001802491,0.0002686923,0.0008485265,0.001113793,0.0006198334,0.0012246,0.0002805681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004724564,"about_ca_system_score_gemma":0.0003704924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002083362,"about_ca_topic_score_gemma":0.002113485,"domain_scores_codex":[0.99925,0.000353401,0.00004201127,0.00008226396,0.0001251412,0.00014701],"domain_scores_gemma":[0.9709962,0.01958807,0.005022882,0.001396965,0.0008485189,0.002147209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01303694,0.004833124,0.5909624,0.0005099787,0.0005375533,0.00163482,0.001506276,0.08462626,0.07220438,0.06550618,0.006879272,0.1577628],"study_design_scores_gemma":[0.0005358678,0.005383617,0.607531,0.0001393404,0.0005480365,0.0007708149,0.004727083,0.2369028,0.02103019,0.1182448,0.003954258,0.0002323232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956738,0.00009628961,0.001072263,0.0002319505,0.00001082176,0.000008283179,0.0000444027,0.00001595037,0.002846209],"genre_scores_gemma":[0.9995327,0.00001450157,0.0002189178,0.00003259817,0.000004165839,0.000002628943,0.0000130323,0.000004077697,0.0001773442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008280322,"threshold_uncertainty_score":0.02770036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04769852426428429,"score_gpt":0.2838386869119496,"score_spread":0.2361401626476653,"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."}}