{"id":"W1487783860","doi":"","title":"Optimal Rationing in IPOs with Risk Averse Institutional Investors","year":2005,"lang":"en","type":"article","venue":"Rivista di Politica Economica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Rationing; Initial public offering; Institutional investor; Information asymmetry; Credit rationing; Microeconomics; Mechanism (biology); Economics; Optimal allocation; Mechanism design; Business; Risk aversion (psychology); Monetary economics; Expected utility hypothesis; Financial economics; Finance; Mathematical optimization; Interest rate; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008680242,0.0001328049,0.0001956944,0.0002535504,0.0003436145,0.0002116339,0.0003660306,0.00005510133,0.001014079],"category_scores_gemma":[0.0004520067,0.0001138887,0.00006176141,0.0002516797,0.0004404743,0.0006730246,0.00006232442,0.0001834287,0.002024093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002463788,"about_ca_system_score_gemma":0.0002539214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000640295,"about_ca_topic_score_gemma":0.000149105,"domain_scores_codex":[0.9983838,0.0001213178,0.0005541696,0.0004403839,0.0001958064,0.0003045596],"domain_scores_gemma":[0.9985946,0.0004890208,0.0001991914,0.0004515267,0.00006512534,0.0002005043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003187704,0.00007994399,0.01983708,8.543601e-7,0.00001154563,0.000001216542,0.0003875697,0.05619424,0.00002265475,0.9210663,0.0008249044,0.001541828],"study_design_scores_gemma":[0.002153957,0.0001283693,0.2211435,0.00002871046,0.00004010171,0.00007222222,0.002154277,0.06486604,0.00164672,0.1097455,0.597183,0.000837608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607708,0.000007805161,0.01025728,0.002143673,0.0000568283,0.0001601138,0.00007028393,0.00004259168,0.02649067],"genre_scores_gemma":[0.9934218,0.000002903761,0.004089879,0.0003418932,0.0002268059,0.00004422918,0.00001215258,0.000009874586,0.001850489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8113208,"threshold_uncertainty_score":0.9998991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03748288772474904,"score_gpt":0.3109915948348725,"score_spread":0.2735087071101234,"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."}}