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A1Journal of Business EthicsFT502025202(3): 603-613Front Running 2.0: An Ethical Evaluation of Selected Strategies of High-frequency Traders from a Non-utilitarian PerspectiveAnna Błachnio-Parzych被引 0基金市场营销金融风险与机器学习
A1Journal of Business EthicsFT502024195(1): 151-166Machine Learning for Predicting Corporate Violations: How Do CEO Characteristics Matter?Ruijie Sun, Feng Liu, Yinan Li, Rongping Wang 等 5 人被引 39高影响力 前 1%会计金融风险与机器学习
A1Journal of Business EthicsFT502023189(3): 625-646Employees Adhere More to Unethical Instructions from Human Than AI Supervisors: Complementing Experimental Evidence with Machine LearningLukas Lanz, Roman Briker, Fabiola Heike Gerpott被引 81高影响力 前 1%开放获取信息系统与管理金融风险与机器学习
A1Journal of Business EthicsFT502022189(1): 201-215Spoof, Bluff, Go For It: A Defence of SpoofingKasim Khorasanee被引 5基金开放获取金融金融风险与机器学习
A1Journal of Business EthicsFT502022186(2): 369-383What (If Anything) is Wrong with High-Frequency Trading?Carl David Mildenberger被引 3基金开放获取金融金融风险与机器学习
A1Journal of Business EthicsFT502022186(1): 137-158Using Machine Learning to Predict Corporate Fraud: Evidence Based on the GONE FrameworkXin Xu, Feng Xiong, Zhe An被引 92阅读 1高影响力 前 1%基金会计金融风险与机器学习
A1Journal of Business EthicsFT502021181(4): 1083-1095Do the Ends Justify the Means? Variation in the Distributive and Procedural Fairness of Machine Learning AlgorithmsLily Morse, Mike Horia Teodorescu, Yazeed Awwad, Gerald C. Kane被引 78高影响力 前 10%基金开放获取安全研究公平—效率权衡金融风险与机器学习
A1Journal of Business EthicsFT502021181(1): 139-151The Ethics of Financial Market Making and Its Implications for High-Frequency TradingAndrea Roncella, Ignacio Ferrero被引 9基金开放获取金融金融风险与机器学习
