Data Analysis of Personalized Investment Decision Making Using Robo-Advisers

Vitaliy Kobets, V. Yatsenko, Anastasia Mazur, M. Zubrii
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引用次数: 3

Abstract

Bootstrap. Results. We considered consumption­saving ratio in economics, emerging trends of robo­advice (RA) services for making investment decisions. A mathematical model of robo­advisor in long­run period was developed and the support of investment decision making was described using micro­service of robo­advisor. Conclusions. The development RA is intended primarily for private persons (investors) who invest in long­ term financial instruments in order to provide them with a permanent passive income based on their chosen sa­ vings period and the moment of retirement.
使用机器人顾问进行个性化投资决策的数据分析
引导。结果。我们考虑了经济学中的消费储蓄比率,机器人咨询(RA)服务的新兴趋势,以做出投资决策。建立了机器人投资顾问的长期数学模型,并利用机器人投资顾问的微服务描述了其对投资决策的支持。结论。发展RA主要针对投资于长期金融工具的个人(投资者),以便根据他们选择的储蓄期限和退休时刻为他们提供永久的被动收入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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