{"id":"W4389613469","doi":"10.3390/jrfm16120515","title":"Flight-to-Liquidity and Excess Stock Return: Empirical Evidence from a Dynamic Panel Model","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Stock exchange; Equity (law); Stock market; Economics; Monetary economics; Stock (firearms); Financial economics; Phenomenon; Financial crisis; Econometrics; Business; Market maker; Empirical research; Finance; Macroeconomics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002990659,0.0005482882,0.0009243243,0.001050592,0.000518842,0.001623105,0.000981921,0.001201791,0.003816433],"category_scores_gemma":[0.00773208,0.0004537232,0.0012967,0.001307271,0.0005282797,0.001314594,0.000980443,0.001517333,0.0007105641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005250425,"about_ca_system_score_gemma":0.0005424026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01982044,"about_ca_topic_score_gemma":0.01464399,"domain_scores_codex":[0.9989999,0.0005082627,0.00006016261,0.0001869239,0.00008154095,0.0001632097],"domain_scores_gemma":[0.9887183,0.00816785,0.001746416,0.000614838,0.0003713644,0.0003812406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001085578,0.0006506043,0.8122747,0.0001733097,0.001879891,0.001564319,0.0004150847,0.1434281,0.0008813402,0.007412381,0.004732011,0.02550263],"study_design_scores_gemma":[0.0002094461,0.0006049009,0.3339532,0.00007686808,0.001032442,0.0004050173,0.0007570212,0.6478946,0.0006095161,0.01101052,0.003322303,0.0001242851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886552,0.0008979565,0.006946223,0.0006124703,0.00002720485,0.00002206082,0.001471262,0.00007050796,0.001297155],"genre_scores_gemma":[0.9959954,0.0004644412,0.0008004569,0.00006027395,0.00003966702,0.00001259543,0.001924239,0.00000630146,0.0006967711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01982044,"threshold_uncertainty_score":0.03941017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0876796436162213,"score_gpt":0.2704227864271986,"score_spread":0.1827431428109773,"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."}}