亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Judge me on my losers: Do robo‐advisors outperform human investors during the COVID‐19 financial market crash?

撞车 业务 文件夹 财务 杠杆(统计) 金融危机 金融市场 货币经济学 经济 计算机科学 机器学习 宏观经济学 程序设计语言
作者
Che‐Wei Liu,Mochen Yang,Ming‐Hui Wen
出处
期刊:Production and Operations Management [Wiley]
卷期号:32 (10): 3174-3192 被引量:10
标识
DOI:10.1111/poms.14029
摘要

As financial institutions increasingly offer robo‐advisors (RAs) as a service, the empirical evidence on their performance, particularly during market downturns, remains limited. We study the impact of using RAs on investment performance during the 2020 financial crisis caused by the COVID‐19 global pandemic. We obtain daily portfolio and transaction data of investors on an online investment platform. Besides making investment decisions by themselves, investors can also leverage an RA system offered by the platform. We match RA users with other investors who did not use the RA with similar investor and portfolio characteristics before the market crash, then compare their portfolio returns after the crash. We find that RA users experienced significantly fewer losses during the market downturn, and this performance advantage came from the RA‐managed assets (rather than assets managed by RA users themselves). We further show that the RA system adjusted its portfolios to hold less risky funds, whereas human investors stayed with their status quo and did not reduce the risk of their portfolios, which partly accounted for the performance discrepancy. Importantly, the RA’s superior performance was not simply a continuation of its performance in a normal market; in fact, we find RA users to have similar portfolio returns as non‐RA investors during normal markets, and the benefits of RA's risk‐reduction trading strategy only manifested during the financial crisis. Our work offers an empirical assessment of RAs’ performance under different market conditions and advances the understanding of algorithmic decision making in financial markets.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
4秒前
斯文败类应助Lebpom采纳,获得10
10秒前
慕青应助LucyMartinez采纳,获得10
13秒前
111完成签到 ,获得积分10
15秒前
正直的爆米花完成签到 ,获得积分10
15秒前
19秒前
jinmuna发布了新的文献求助10
21秒前
22秒前
李甄好应助科研通管家采纳,获得10
26秒前
科研通AI2S应助科研通管家采纳,获得10
26秒前
含糊的尔槐完成签到,获得积分10
27秒前
32秒前
35秒前
LucyMartinez发布了新的文献求助10
37秒前
37秒前
研友_VZG7GZ应助雪碧要加冰采纳,获得10
38秒前
46秒前
科研通AI6.1应助maopf采纳,获得10
47秒前
雪碧要加冰完成签到,获得积分10
50秒前
55秒前
Abdurrahman完成签到,获得积分10
58秒前
yihuji发布了新的文献求助10
58秒前
BowieHuang应助Sivledy采纳,获得10
1分钟前
1分钟前
1分钟前
小林完成签到 ,获得积分10
1分钟前
奋斗的小研完成签到,获得积分10
1分钟前
BowieHuang应助Sivledy采纳,获得10
1分钟前
科研通AI2S应助Sivledy采纳,获得10
1分钟前
freebird完成签到,获得积分10
1分钟前
1分钟前
caca完成签到,获得积分0
1分钟前
luming完成签到 ,获得积分10
1分钟前
Rory完成签到 ,获得积分10
1分钟前
空咻咻发布了新的文献求助10
1分钟前
飘逸芷珍应助小年小少采纳,获得10
1分钟前
盛事不朽完成签到 ,获得积分10
1分钟前
1分钟前
深情安青应助Karol采纳,获得10
1分钟前
yihuji完成签到 ,获得积分10
1分钟前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 40000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
„Semitische Wissenschaften“? 1510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5746562
求助须知:如何正确求助?哪些是违规求助? 5436195
关于积分的说明 15355651
捐赠科研通 4886597
什么是DOI,文献DOI怎么找? 2627322
邀请新用户注册赠送积分活动 1575805
关于科研通互助平台的介绍 1532538