水准点(测量)
建议(编程)
文件夹
可信赖性
业务
精算学
投资(军事)
财务
计算机科学
互联网隐私
政治学
大地测量学
政治
法学
程序设计语言
地理
作者
A. Oehler,Matthias Horn
标识
DOI:10.1016/j.frl.2023.104898
摘要
We develop three investor profiles with different risk attitudes and consult ChatGPT and 17 robo-advisors to recommend an investment portfolio. We compare the recommendations with a benchmark derived from academic literature. ChatGPT's recommendations align with the three investor profiles and the benchmark. In contrast, only three out of the 17 robo-advisors come close to meeting the benchmark for all three investor profiles. Three robo-advisors fail to meet the benchmark for all investor profiles. Our findings reveal that ChatGPT provides better financial advice for one-time investments than robo-advisors. A policy implication is to clearly disclose that independent sophisticated chatbots can be recommended as a trustworthy source of information for retail investors.
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