建议(编程)
个性化
水准点(测量)
特征(语言学)
投资(军事)
计算机科学
国家(计算机科学)
业务
万维网
政治学
法学
算法
哲学
地理
程序设计语言
政治
语言学
大地测量学
作者
Michael Faloon,Bernd Scherer
出处
期刊:The journal of wealth management
日期:2017-04-30
卷期号:20 (1): 30-36
被引量:54
标识
DOI:10.3905/jwm.2017.20.1.030
摘要
Robo-advisors assign risky portfolios to individual investors using web-based investment algorithms with minimum human interaction. We provide insights into the working and current state of individualization of this new type of fintech company. Rather than singling out individual firms, our approach is use questions typically asked by robo-advisors to define a generic (average) robo-advisor as a benchmark model that we suggest can be improved upon in various dimensions. Given the missing human advisor, we believe the ability to individualize will be a distinguishing feature among robo-advisors. Our discussion aims at understanding the current state of personalization and helping users of robo-advice to better evaluate the services provided. TOPICS:Wealth management, quantitative methods
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