{"id":"W2949687752","doi":"10.2139/ssrn.2876694","title":"Monetary Policy and Leverage Shocks","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Leverage (statistics); Monetary policy; Monetary economics; Economics; Macroeconomics; Business; Financial system; Computer science","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":[0.0006240838,0.0002356289,0.0004117668,0.0008495986,0.0003545161,0.00300351,0.0002047399,0.001603252,0.007710452],"category_scores_gemma":[0.006313515,0.0002169847,0.000249175,0.0008997229,0.0005305892,0.001536567,0.0008606517,0.001700446,0.0008665394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004519644,"about_ca_system_score_gemma":0.0002976504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137185,"about_ca_topic_score_gemma":0.001300559,"domain_scores_codex":[0.9998097,0.00004868284,0.00001698434,0.00003330161,0.00002950432,0.00006178062],"domain_scores_gemma":[0.9975691,0.0009607059,0.001001297,0.00008885077,0.00008972535,0.0002901736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004153358,0.001088084,0.4157025,0.0002728117,0.000709622,0.005594607,0.0008869294,0.03197649,0.006412622,0.3710304,0.02892303,0.1332495],"study_design_scores_gemma":[0.0002404925,0.0003763555,0.5663415,0.0002143355,0.0003410174,0.001332158,0.001174168,0.04724424,0.001551568,0.3621738,0.01890151,0.0001089635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481056,0.006265029,0.001719,0.01359122,0.00039864,0.000007443245,0.0006472411,0.00005425742,0.02921155],"genre_scores_gemma":[0.995136,0.001201706,0.00005089913,0.0001576352,0.0003266991,0.000002014204,0.0001421627,0.000008080353,0.002974907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007710452,"threshold_uncertainty_score":0.02579403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021780581119913,"score_gpt":0.2081050268568934,"score_spread":0.1978872210456942,"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."}}