{"id":"W3123622350","doi":"10.34989/swp-2017-14","title":"Strategic Complementarities and Money Market Fund Liquidity Management","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Business; Liquidity crisis; Liquidity risk; Fund of funds; Global assets under management; Financial system; Closed-end fund; Finance; Passive management; Accounting liquidity; Institutional investor; Excess reserves; Open-end fund; Funding liquidity; Monetary economics; Economics; Monetary policy; Quantitative easing; Corporate governance; Central bank","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":[0.001384642,0.0002477829,0.0003838426,0.00143628,0.0007282509,0.002737433,0.0003392457,0.0007233862,0.005844545],"category_scores_gemma":[0.01033616,0.0001931168,0.0002925896,0.001051731,0.001270199,0.001962598,0.001552298,0.000703998,0.000310469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279195,"about_ca_system_score_gemma":0.0008790134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006011865,"about_ca_topic_score_gemma":0.00793507,"domain_scores_codex":[0.9993516,0.0001830353,0.00004143193,0.0001151025,0.0001521193,0.0001567084],"domain_scores_gemma":[0.9936059,0.001572436,0.003775312,0.0003441312,0.0002337622,0.0004685187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001609678,0.0004379917,0.6052505,0.0003137105,0.0005130652,0.0009060156,0.003872607,0.0272074,0.007776648,0.1983525,0.0065873,0.1471726],"study_design_scores_gemma":[0.0002396088,0.0003760438,0.6842216,0.0002304416,0.0002727823,0.0005104869,0.00284127,0.0351259,0.003974605,0.2569336,0.01513114,0.0001424393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840981,0.0007331449,0.002593011,0.0008964267,0.00001146428,0.00001593775,0.0002325661,0.0000517253,0.01136752],"genre_scores_gemma":[0.9991837,0.00008421313,0.0002473767,0.00003124733,0.000008883459,0.000003885674,0.00006801393,0.000003252617,0.0003693598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006011865,"threshold_uncertainty_score":0.01955193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06715900881003925,"score_gpt":0.3022444586264434,"score_spread":0.2350854498164041,"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."}}