{"id":"W4415266743","doi":"10.3390/jrfm18100587","title":"Market Reactions to Fintech M&A: Evidence from Event Study Analysis of Financial Institutions","year":2025,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event study; Robustness (evolution); Financial market; Profit (economics); Market timing; Financial crisis; Financial services; Asset (computer security)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009739589,0.0002286786,0.0006143564,0.002216533,0.0002672739,0.0001856852,0.0004256638,0.00007209229,0.00006865907],"category_scores_gemma":[0.001768868,0.0002150106,0.0002969474,0.00371929,0.00007539617,0.0009137279,0.0004612856,0.0002821491,0.00001642696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156231,"about_ca_system_score_gemma":0.00007935589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001442103,"about_ca_topic_score_gemma":0.001923858,"domain_scores_codex":[0.9979666,0.00002586525,0.00101361,0.0003361812,0.0004103345,0.0002473387],"domain_scores_gemma":[0.9983141,0.0001465424,0.0008044466,0.000334656,0.0003724014,0.00002784677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001372176,0.00211391,0.7197312,0.0003663444,0.001216682,0.0001419287,0.0006770609,0.003917984,0.0001507049,0.05365945,0.04017601,0.1764766],"study_design_scores_gemma":[0.0004540157,0.00005859043,0.7604473,0.0005441346,0.001958299,4.477893e-7,0.0002068496,0.0001298346,0.000008640926,0.003655284,0.2323666,0.000170068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8202578,0.0003812077,0.1745714,0.0002871488,0.0008369813,0.0004485581,0.00003334698,0.00002340841,0.003160097],"genre_scores_gemma":[0.9967344,0.0004139704,0.00162875,0.0002803912,0.0002550907,0.00002217406,0.000004155324,0.00000914156,0.0006519671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1921906,"threshold_uncertainty_score":0.8767878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513812350747183,"score_gpt":0.2830070634501072,"score_spread":0.2578689399426354,"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."}}