{"id":"W4383849282","doi":"10.2139/ssrn.4494815","title":"Firm-level Climate Change Exposure and Stock Price Crash Risk: International Evidence","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Climate change; Business; Stock price; Stock (firearms); Economics; Financial economics; Geography; Oceanography","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":[0.0009097105,0.0002930586,0.0003208664,0.0008871056,0.0003105078,0.001423525,0.0004356611,0.0009101249,0.005141323],"category_scores_gemma":[0.005144129,0.0001688958,0.0006090173,0.002099155,0.0007058088,0.000912692,0.0007971028,0.001150885,0.0005590072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363428,"about_ca_system_score_gemma":0.0002350789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220732,"about_ca_topic_score_gemma":0.009467732,"domain_scores_codex":[0.9996912,0.00006143583,0.00003481375,0.00007450039,0.00007068759,0.00006732583],"domain_scores_gemma":[0.9904665,0.0031168,0.004548994,0.0006411373,0.0006518992,0.0005747622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005636095,0.0001496314,0.9868495,0.00008082909,0.000702485,0.000182677,0.0001331316,0.0003498707,0.0001747792,0.0005725106,0.0006887545,0.009552133],"study_design_scores_gemma":[0.00001646187,0.0001147052,0.9971865,0.00004245396,0.0002897789,0.0001158581,0.0003053375,0.0002301459,0.000132597,0.0003564009,0.001201663,0.000007974695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830719,0.008069822,0.0002407477,0.001306279,0.00005318833,0.00000799954,0.001218618,0.000007250109,0.006024227],"genre_scores_gemma":[0.9950249,0.003534105,0.00003652809,0.0001209443,0.00008456536,0.000001863605,0.0008727484,0.000002109537,0.0003222122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01220732,"threshold_uncertainty_score":0.02427256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05707927147845387,"score_gpt":0.2601146259162748,"score_spread":0.2030353544378209,"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."}}