{"id":"W4229014842","doi":"10.1002/fut.22336","title":"How do firms hedge in financial distress?","year":2022,"lang":"en","type":"article","venue":"Journal of Futures Markets","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Stockholms Universitet; Jan Wallanders och Tom Hedelius Stiftelse samt Tore Browaldhs Stiftelse","keywords":"Financial distress; Hedge; Market liquidity; Incentive; Business; Collar; Distress; Hedge fund; Derivative (finance); Monetary economics; Economics; Finance; Financial system; Microeconomics","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":[0.001129128,0.0002028688,0.0003456047,0.000639174,0.0003019757,0.0004279012,0.0007579671,0.00005365416,0.000468057],"category_scores_gemma":[0.0004522751,0.0001819307,0.0002106794,0.0008037893,0.00003317372,0.001227574,0.0005274868,0.0005986821,0.00001084914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270144,"about_ca_system_score_gemma":0.00003784662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003535167,"about_ca_topic_score_gemma":0.00005892109,"domain_scores_codex":[0.9981869,0.0000464814,0.0004863368,0.0002059694,0.0007252988,0.0003489889],"domain_scores_gemma":[0.9987896,0.00005130955,0.0008000258,0.0002295858,0.0001113121,0.00001817152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001610288,0.0006809243,0.1182917,0.0003205755,0.00006324988,0.001984331,0.0002260678,0.0006615629,0.00015961,0.02622181,0.6684162,0.1813636],"study_design_scores_gemma":[0.0008874277,0.00003256076,0.3055702,0.00004226481,0.00002905884,0.00001673446,0.00038358,0.00009869302,0.00000388467,0.005859967,0.6868811,0.0001945425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685699,0.001467849,0.0001051791,0.008239569,0.005490677,0.0002993707,0.00001069689,0.00003307924,0.01578371],"genre_scores_gemma":[0.9937024,0.00007781722,0.000103392,0.001285532,0.003883592,0.00001409137,0.00000872752,0.00002836675,0.0008960794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1872785,"threshold_uncertainty_score":0.741892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007959577932094727,"score_gpt":0.1991393098284025,"score_spread":0.1911797318963078,"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."}}