{"id":"W4416287925","doi":"10.2139/ssrn.5759784","title":"Inventory Management and the Cross-section of Stock Returns","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock (firearms); Perpetual inventory; Hedge; Inventory valuation; Inventory management; Demand shock; Capital asset pricing model; Asset (computer security); Value (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003250241,0.0004662835,0.0004949296,0.001789275,0.0003737783,0.002814539,0.0006418601,0.001398066,0.007201547],"category_scores_gemma":[0.01294959,0.0005034409,0.0007571277,0.001530553,0.0005655335,0.002702196,0.0006708876,0.0009480927,0.001182301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007718464,"about_ca_system_score_gemma":0.0003629063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002460426,"about_ca_topic_score_gemma":0.002672608,"domain_scores_codex":[0.9995029,0.0001321414,0.00005691889,0.00009344846,0.00009978569,0.0001147877],"domain_scores_gemma":[0.9775327,0.01460132,0.005079116,0.0008298941,0.0008615344,0.001095403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001115249,0.000369867,0.8590074,0.0001468975,0.0009405678,0.001009875,0.0003652813,0.06982723,0.004775871,0.02426076,0.001798139,0.03638276],"study_design_scores_gemma":[0.00004286007,0.0004399604,0.8122103,0.00008619012,0.0003719933,0.0007296276,0.0003966767,0.1370181,0.002077806,0.04501431,0.001507012,0.0001051855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784989,0.005090065,0.009004625,0.0008655458,0.00005698167,0.00001672249,0.0004987593,0.00009950146,0.005868879],"genre_scores_gemma":[0.9963927,0.0008700201,0.0003410474,0.00003556048,0.00007865758,0.000005032287,0.0002379976,0.00001061566,0.002028411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007201547,"threshold_uncertainty_score":0.0240916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111623683388327,"score_gpt":0.2462320819772975,"score_spread":0.2350697136384648,"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."}}