Nudged into Better Portfolios and Lower Risk: Robo-Advice and Savings Decisions

Konstantin Bräuer
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Abstract

Mutual fund and ETF savings plans (SPs) are becoming an increasingly important part of retail investor portfolios and many investors now adopt robo-advisors to obtain guidance on SP choices. Using data from a large online bank that introduced a robo-advising tool, I explore how robo-advice changes investors’ SP choices and document three main results. First, default options improve robo-advice users’ fund choices towards lower-cost and more diversified funds. Second, many investors – also those who previously held all-equity portfolios – adhere to the default asset allocation that is associated with a 50% equity exposure, although they could construct riskier SP portfolios through the robo-advisor. Third, I document considerable heterogeneity in longer-term adherence to robo-advisor recommendations. First-time SP users are more inert and stick to the robo-advisor’s proposed asset allocation while experienced SP users quickly readjust their equity exposure away from the robo-advisor’s recommendation. My results emphasize the power of defaults in all-digital robo-advisory services and highlight how they can improve fund choices while at the same time push investors into unsuitable asset allocations.
推动更好的投资组合和更低的风险:机器人建议和储蓄决策
共同基金和ETF储蓄计划(SP)正成为散户投资者投资组合中越来越重要的一部分,许多投资者现在采用机器人顾问来获得选择SP的指导。我利用一家大型网上银行推出的机器人咨询工具的数据,探讨了机器人咨询如何改变投资者的标普选择,并记录了三个主要结果。首先,默认选项改善了机器人咨询用户对低成本、更多元化基金的选择。其次,许多投资者——包括那些以前全部持有股票投资组合的投资者——坚持默认的资产配置,即50%的股票敞口,尽管他们可以通过机器人顾问构建风险更高的标准普尔投资组合。第三,我记录了长期遵守机器人顾问建议的相当大的异质性。首次使用标准普尔的用户比较惰性,会坚持机器人顾问建议的资产配置,而经验丰富的标准普尔用户则会迅速调整他们的股票敞口,远离机器人顾问的建议。我的研究结果强调了全数字机器人咨询服务中违约的力量,并强调了它们如何在改善基金选择的同时,推动投资者进行不合适的资产配置。
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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