{"id":"W4245663192","doi":"10.2139/ssrn.3919185","title":"What Do CDO Tranche Spreads Tell Us About Credit Availability and Credit Rating Standards?","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tranche; Credit rating; Business; Credit enhancement; Credit derivative; Bond credit rating; Financial system; Structured finance; Credit reference; Economics; Credit history; Credit risk; Actuarial science; Financial crisis","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":[0.00218643,0.0001787172,0.0004966152,0.001136254,0.0003204901,0.004031074,0.0005243669,0.001969472,0.006421187],"category_scores_gemma":[0.03929698,0.0002761911,0.0004177773,0.001825709,0.001087552,0.004240252,0.0004623713,0.001721538,0.001503425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004975195,"about_ca_system_score_gemma":0.0002978758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005992494,"about_ca_topic_score_gemma":0.005667843,"domain_scores_codex":[0.9992589,0.0002718882,0.0000682239,0.0001498485,0.0001515151,0.00009949312],"domain_scores_gemma":[0.9398633,0.03847308,0.01601415,0.001558311,0.002476622,0.001614445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007020131,0.0002132668,0.9477667,0.0001066488,0.0003807915,0.0002169465,0.0009676442,0.002362297,0.0004705794,0.007214361,0.005014861,0.03458391],"study_design_scores_gemma":[0.0000463889,0.0001216922,0.9579263,0.00008587843,0.0001785019,0.0002428355,0.002606201,0.005138784,0.0005090261,0.02861918,0.004459651,0.00006552417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662107,0.002637024,0.001668494,0.008561566,0.0001217986,0.00001236862,0.002089961,0.00002996939,0.01866826],"genre_scores_gemma":[0.9968302,0.0007282653,0.0001394702,0.0004745819,0.0001877646,0.000004518458,0.0004169571,0.00001229306,0.001205984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006421187,"threshold_uncertainty_score":0.02148098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215270686595207,"score_gpt":0.2329545902410163,"score_spread":0.2208018833750642,"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."}}