{"id":"W1556042350","doi":"10.1108/jrf-02-2015-0020","title":"The dynamics of risk premium: the case of the Taiwan real estate market","year":2015,"lang":"en","type":"article","venue":"The Journal of Risk Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Real estate; Volatility (finance); Real estate investment trust; Autoregressive conditional heteroskedasticity; Risk premium; Economics; Financial economics; Capitalization rate; Cost approach; Investment (military); Business; Finance","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":[0.0008163985,0.0001733705,0.0002929994,0.0006638883,0.0004074946,0.001909442,0.0004921443,0.000899464,0.003242405],"category_scores_gemma":[0.005311747,0.0001361985,0.00044831,0.0005270992,0.000666446,0.002365602,0.0008218666,0.001386124,0.0002088648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076255,"about_ca_system_score_gemma":0.0003941752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538454,"about_ca_topic_score_gemma":0.008413857,"domain_scores_codex":[0.9997628,0.00005545731,0.00001227622,0.00005671292,0.00004981759,0.00006290834],"domain_scores_gemma":[0.9977677,0.0006951306,0.0009041555,0.0001364507,0.0002352873,0.0002612602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006449777,0.0004367793,0.6860396,0.0001880612,0.0002788669,0.01370604,0.004647388,0.08257502,0.007415037,0.1557742,0.008338393,0.03995576],"study_design_scores_gemma":[0.00006826751,0.0002423449,0.4141782,0.00006376403,0.0001523535,0.001579264,0.005023852,0.5076198,0.001744783,0.06402732,0.005156145,0.0001438693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919933,0.0004590098,0.002447743,0.001241476,0.00001564911,0.00001482367,0.00009212137,0.00002106999,0.003714892],"genre_scores_gemma":[0.9991556,0.00007837384,0.0001654974,0.00001889741,0.00001006538,0.000002166213,0.00002980554,0.000002341342,0.0005370742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538454,"threshold_uncertainty_score":0.03058994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153162692989915,"score_gpt":0.2084071795217166,"score_spread":0.1930909102227251,"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."}}