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A social investing approach for portfolio recommendation
Information & Management ( IF 9.9 ) Pub Date : 2021-09-21 , DOI: 10.1016/j.im.2021.103536
Yung-Ming Li , Lien-Fa Lin , Chin-Yu Hsieh , Bo-Syun Huang

Presently, people use social media at a greater rate to share their personal investment experiences. This plentiful user-generated data source has been promisingly used by investors for portfolio creation. A new type of investing platform that allows investors to copy the portfolios of experienced investors has grown dramatically. In this research, we propose a collective intelligence mechanism that can extract and consolidate the opinions expressed over the social investing platform and generate appropriate portfolios by analyzing other investors’ knowledge, authority, and opinions toward the investment target. The experimental results obtained based on the social investing platform eToro.com reveal that the portfolio recommended by the proposed mechanism outperforms the market index and other benchmark approaches in various financial performance aspects.



中文翻译:

用于投资组合推荐的社会投资方法

目前,人们更多地使用社交媒体来分享他们的个人投资经验。这种丰富的用户生成数据源已被投资者用于创建投资组合。一种允许投资者复制经验丰富的投资者的投资组合的新型投资平台已经大幅增长。在这项研究中,我们提出了一种集体智慧机制,可以通过分析其他投资者对投资目标的知识、权威和意见,提取和整合在社会投资平台上表达的意见,并生成合适的投资组合。基于社交投资平台eToro获得的实验结果。

更新日期:2021-10-06
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