Bala G. Arshanapalli, Matthew Lutey, William A. Nelson, M. Pollak
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引用次数: 0
Abstract
In Who Is Better at Investment Decisions: Man or Machine?, from the Winter 2020 issue of The Journal of Wealth Management, J. P. Harrison and S. Samaddar (both of Georgia State University) examine whether robo-advisers construct better-performing portfolios than human advisers. Using a simulated contest between a top-rated robo-adviser and prominent human advisers, Harrison and Samaddar observed that the human advisers produced higher returns (even after fees) and advice that was tailored to the ages and investment amounts of hypothetical clients. By contrast, while the robo-adviser tailored advice based on the hypothetical investors’ self-declared risk tolerances, it was insensitive to age and investment amount. The findings challenge the conventional wisdom that robo-advisers can serve customers better and at lower cost than their human counterparts. TOPICS: Developed markets, financial crises and financial market history, portfolio theory, technical analysis
《谁更擅长投资决策:人还是机器?》乔治亚州立大学的j·p·哈里森(J. P. Harrison)和S.萨马达尔(S. Samaddar)在《财富管理杂志》(the Journal of Wealth Management) 2020年冬季号上研究了机器人顾问是否比人类顾问构建了更好的投资组合。哈里森和萨马达尔通过模拟顶级机器人顾问和著名人类顾问之间的竞争,观察到人类顾问产生了更高的回报(即使扣除费用),并根据假想客户的年龄和投资金额量身定制了建议。相比之下,虽然机器人顾问根据假设投资者自我宣称的风险承受能力量身定制建议,但它对年龄和投资金额不敏感。这一发现挑战了传统观点,即机器人顾问可以比人类顾问更好、成本更低地为客户服务。主题:发达市场,金融危机和金融市场历史,投资组合理论,技术分析