{"id":"W3047307740","doi":"10.1002/ijfe.2100","title":"Contemporaneous linkages: Funding liquidity and stock market spirals","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Market liquidity; Economics; Credit rationing; Rationing; Monetary economics; Financial system; Stock market; Stock (firearms); Market maker; Monetary policy; Central bank; Funding liquidity; Business; Liquidity crisis; Interest rate","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":[],"consensus_categories":[],"category_scores_codex":[0.0008394684,0.0001642776,0.0004774313,0.0001845656,0.00006555838,0.0001630209,0.0005516812,0.0001012274,0.0002274312],"category_scores_gemma":[0.0003780585,0.0002030538,0.0001680739,0.0000821033,0.0001098421,0.0005638221,0.000104064,0.0002387448,0.00003515937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244758,"about_ca_system_score_gemma":0.00007459716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002343684,"about_ca_topic_score_gemma":0.000006749282,"domain_scores_codex":[0.9981251,0.00002052937,0.001267122,0.0003261018,0.00006055547,0.0002005637],"domain_scores_gemma":[0.9979682,0.0001346627,0.00145641,0.0001547419,0.0001824697,0.0001034985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006883874,0.0004594127,0.6443532,0.0001309553,0.0006201725,0.0001493186,0.003978074,0.02129593,0.0001263517,0.292138,0.00662461,0.02943563],"study_design_scores_gemma":[0.005257396,0.001216426,0.4069289,0.0002087904,0.00003998168,0.0005487116,0.0002296118,0.09207886,0.0005141044,0.09059504,0.4010263,0.001355855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814474,0.00236085,0.005360047,0.005733076,0.001311183,0.0001253365,0.0001387065,0.00001556319,0.003507859],"genre_scores_gemma":[0.9954617,0.001492353,0.001513135,0.0007263552,0.0006382694,0.000002284199,0.000003928071,0.00002227311,0.000139692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3944017,"threshold_uncertainty_score":0.8280293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760140355797242,"score_gpt":0.2542977243873452,"score_spread":0.2066963208293728,"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."}}