{"id":"W2737308305","doi":"","title":"A Dynamic Program for Valuing Corporate Securities","year":2013,"lang":"fr","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Group for Research in Decision Analysis; Brock University","funders":"","keywords":"Flexibility (engineering); Seniority; Balance sheet; Debt; Carry (investment); Dynamic programming; Yield (engineering); Computer science; Process (computing); Sensitivity (control systems); Business; Actuarial science; Accounting; Economics; Finance; Algorithm; Engineering; Programming language; Management","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":[0.001269171,0.0006589235,0.000752943,0.0006649944,0.0003939773,0.001232979,0.001238305,0.001354522,0.003691657],"category_scores_gemma":[0.002793034,0.0004319143,0.00059617,0.0006547531,0.001074359,0.001140887,0.001257324,0.001243874,0.0003530156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025085,"about_ca_system_score_gemma":0.001174894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081933,"about_ca_topic_score_gemma":0.001448606,"domain_scores_codex":[0.9994745,0.0001668184,0.00001662602,0.0001057233,0.0001478859,0.00008842083],"domain_scores_gemma":[0.9991836,0.0005371585,0.00007058684,0.00004574551,0.0001011623,0.00006168519],"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":[0.00004338233,0.00008206112,0.000438457,0.00003636134,0.0000104267,0.00004004026,0.00004264975,0.9307209,0.001648395,0.04526788,0.0005451092,0.02112438],"study_design_scores_gemma":[0.00001036006,0.00001946819,0.00002679961,0.000003835748,0.000002142521,0.000007224914,0.00000475315,0.9913217,0.0004586796,0.007641088,0.0005003314,0.000003551844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01428066,0.00003063611,0.9830588,0.0001371915,0.00001233906,0.00003609214,0.00003626476,0.0001516768,0.002256403],"genre_scores_gemma":[0.42365,0.0001378938,0.5713401,0.00009685123,0.00002736753,0.0003784201,0.0001527541,0.0001305399,0.004086062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003691657,"threshold_uncertainty_score":0.01234978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504433454064186,"score_gpt":0.2934464775483785,"score_spread":0.2484021430077366,"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."}}