{"id":"W4214816806","doi":"10.21144/wp18-11","title":"Asset Pledgeability and Endogenously Leveraged Bubbles","year":2018,"lang":"en","type":"article","venue":"Federal Reserve Bank of Richmond Working Papers","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; National Foundation for Science and Technology Development","keywords":"Collateral; Asset (computer security); Boom; Debt; Non-performing asset; Economic bubble; Bust; Monetary economics; Economics; Business; Investment (military); Capital asset pricing model; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00157314,0.0002550288,0.0005528383,0.0002082796,0.0005081854,0.0001482926,0.0003907894,0.0001773634,0.0004964189],"category_scores_gemma":[0.0008498798,0.000278507,0.0001543613,0.0005226554,0.0004785796,0.0001643727,0.0001834457,0.0002074421,0.00004092386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533231,"about_ca_system_score_gemma":0.00005042411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008100133,"about_ca_topic_score_gemma":0.0007098358,"domain_scores_codex":[0.9976776,0.00008664317,0.0008470255,0.0007453854,0.0001326296,0.0005106636],"domain_scores_gemma":[0.9983582,0.0003213662,0.0004488633,0.0006530095,0.0001061881,0.0001123557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007793731,0.0001577191,0.9622629,0.00008737444,0.00006763331,0.000001973668,0.001604295,0.00005502163,0.0005829641,0.02996536,0.0003870025,0.004749791],"study_design_scores_gemma":[0.000909211,0.0003178156,0.9300123,0.00007293998,0.00001151117,0.000006398586,0.0001280816,0.0009669866,0.0006656949,0.03443896,0.03197579,0.000494325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467369,0.002190498,0.0002173442,0.0003989941,0.0004197528,0.0003169311,0.00004551356,0.00006915898,0.04960488],"genre_scores_gemma":[0.997371,0.00007683396,0.001526901,0.00008505616,0.0001835662,0.00001501384,0.00001661186,0.00003357642,0.0006914348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05063408,"threshold_uncertainty_score":0.9999667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960800810578279,"score_gpt":0.2435405300519136,"score_spread":0.2039325219461308,"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."}}