The diversification and welfare effects of robo-advising

IF 10.4 1区 经济学 Q1 BUSINESS, FINANCE Journal of Financial Economics Pub Date : 2024-05-25 DOI:10.1016/j.jfineco.2024.103869
Alberto G. Rossi , Stephen Utkus
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Abstract

We study the diversification and welfare effects of a large US robo-advisor on the portfolios of previously self-directed investors and document five facts. First, robo-advice reshapes portfolios by increasing indexing and reducing home bias, number of assets held, and fees. Second, these portfolio changes contribute to higher Sharpe ratios. Third, those who benefit most from robo-advice are investors who did not have high exposure to equities or indexing and had poorer diversification levels. Fourth, robo-advice decreases the time investors dedicate to managing their investments. Fifth, those investors who benefit most are more likely to join the service and not quit it.

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机器人咨询的多样化和福利效应
我们研究了美国一家大型机器人顾问公司对以前自我指导投资者投资组合的多样化和福利效应,并记录了五个事实。首先,机器人顾问通过提高指数化程度、减少家庭偏好、所持资产数量和费用来重塑投资组合。第二,这些投资组合的变化有助于提高夏普比率。第三,从机器人建议中获益最多的是那些股票投资或指数化程度不高、分散化水平较低的投资者。第四,机器人建议减少了投资者管理投资的时间。第五,受益最大的投资者更有可能加入而不是退出这项服务。
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来源期刊
CiteScore
15.80
自引率
4.50%
发文量
192
审稿时长
37 days
期刊介绍: The Journal of Financial Economics provides a specialized forum for the publication of research in the area of financial economics and the theory of the firm, placing primary emphasis on the highest quality analytical, empirical, and clinical contributions in the following major areas: capital markets, financial institutions, corporate finance, corporate governance, and the economics of organizations.
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