Practical Applications of The Profitability of Technical Analysis during Financial Bubbles

Bala G. Arshanapalli, Matthew Lutey, William A. Nelson, M. Pollak
{"title":"Practical Applications of The Profitability of Technical Analysis during Financial Bubbles","authors":"Bala G. Arshanapalli, Matthew Lutey, William A. Nelson, M. Pollak","doi":"10.3905/PA.8.2.429","DOIUrl":null,"url":null,"abstract":"In Who Is Better at Investment Decisions: Man or Machine?, from the Winter 2020 issue of The Journal of Wealth Management, J. P. Harrison and S. Samaddar (both of Georgia State University) examine whether robo-advisers construct better-performing portfolios than human advisers. Using a simulated contest between a top-rated robo-adviser and prominent human advisers, Harrison and Samaddar observed that the human advisers produced higher returns (even after fees) and advice that was tailored to the ages and investment amounts of hypothetical clients. By contrast, while the robo-adviser tailored advice based on the hypothetical investors’ self-declared risk tolerances, it was insensitive to age and investment amount. The findings challenge the conventional wisdom that robo-advisers can serve customers better and at lower cost than their human counterparts. TOPICS: Developed markets, financial crises and financial market history, portfolio theory, technical analysis","PeriodicalId":179835,"journal":{"name":"Practical Application","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Practical Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/PA.8.2.429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In Who Is Better at Investment Decisions: Man or Machine?, from the Winter 2020 issue of The Journal of Wealth Management, J. P. Harrison and S. Samaddar (both of Georgia State University) examine whether robo-advisers construct better-performing portfolios than human advisers. Using a simulated contest between a top-rated robo-adviser and prominent human advisers, Harrison and Samaddar observed that the human advisers produced higher returns (even after fees) and advice that was tailored to the ages and investment amounts of hypothetical clients. By contrast, while the robo-adviser tailored advice based on the hypothetical investors’ self-declared risk tolerances, it was insensitive to age and investment amount. The findings challenge the conventional wisdom that robo-advisers can serve customers better and at lower cost than their human counterparts. TOPICS: Developed markets, financial crises and financial market history, portfolio theory, technical analysis
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
金融泡沫时期技术分析盈利能力的实际应用
《谁更擅长投资决策:人还是机器?》乔治亚州立大学的j·p·哈里森(J. P. Harrison)和S.萨马达尔(S. Samaddar)在《财富管理杂志》(the Journal of Wealth Management) 2020年冬季号上研究了机器人顾问是否比人类顾问构建了更好的投资组合。哈里森和萨马达尔通过模拟顶级机器人顾问和著名人类顾问之间的竞争,观察到人类顾问产生了更高的回报(即使扣除费用),并根据假想客户的年龄和投资金额量身定制了建议。相比之下,虽然机器人顾问根据假设投资者自我宣称的风险承受能力量身定制建议,但它对年龄和投资金额不敏感。这一发现挑战了传统观点,即机器人顾问可以比人类顾问更好、成本更低地为客户服务。主题:发达市场,金融危机和金融市场历史,投资组合理论,技术分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Practical Applications of Joanne Hill – Conversation with Frank Fabozzi Practical Applications of The Life Journey of Wealthy Women: Evolving Experiences Around Money, Work, Family, and Life Choices of Ultrawealthy Women Practical Applications of Sales Dispersion: A Robust Factor to Consider to Achieve Alpha Practical Applications of The Free Boundary of the American Put Practical Applications of The Evolution of Private Equity Fund Value
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1