{"id":"W3085297482","doi":"10.1108/jdqs-01-2018-b0003","title":"A Study on the Effect of Geographic Diversification of Firms on Hedging Activity Using Derivatives","year":2018,"lang":"en","type":"article","venue":"Journal of Derivatives and Quantitative Studies 선물연구","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Fund administration; Manager of managers fund; Open-end fund; Closed-end fund; Mutual fund; Fund of funds; Target date fund; Business; Income fund; Finance; Investment fund; Reputation; Index fund; Sovereign wealth fund; Pooling; Investment management; Feeder fund; Umbrella fund; Performance fee; Incentive; Microeconomics; Economics; Institutional investor; Profit (economics); Return on investment; Open-ended investment company; Corporate governance; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075075,0.0001737445,0.0006860641,0.0002861505,0.0002632736,0.00002036245,0.0001348908,0.00002940664,0.000008667485],"category_scores_gemma":[0.0009668008,0.0001110683,0.0001252304,0.0003165776,0.0007771655,0.000270491,0.00006360889,0.0001373256,0.000001075625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002973837,"about_ca_system_score_gemma":0.00001111006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003198915,"about_ca_topic_score_gemma":0.000003940523,"domain_scores_codex":[0.9988642,0.000174112,0.0005534539,0.0001819659,0.00009295165,0.0001332905],"domain_scores_gemma":[0.9971303,0.0009893774,0.001518343,0.0001324144,0.0002059069,0.00002364694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001710095,0.0005711287,0.7296845,0.0001698609,0.002012672,0.000003714168,0.03680984,0.0000453366,0.003711955,0.2244771,0.00007576064,0.0007280148],"study_design_scores_gemma":[0.001011808,0.01623968,0.9451983,0.0003055526,0.00004861986,0.000001200781,0.02278828,0.0001701139,0.006809469,0.007208916,0.00006592902,0.0001521602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965444,0.001389901,0.0003461824,0.0003063563,0.0001757602,0.0002903068,0.00001805732,0.000002536593,0.0009265046],"genre_scores_gemma":[0.9992052,0.0004682266,0.0002370209,0.00002660859,0.00004400665,0.000003968627,1.517862e-7,0.000008422629,0.000006351836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2172682,"threshold_uncertainty_score":0.4529235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291480881740028,"score_gpt":0.3312569988774888,"score_spread":0.202108910703486,"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."}}