Portfolio Selection Using Portfolio Committees

Tsungwu Ho
{"title":"Portfolio Selection Using Portfolio Committees","authors":"Tsungwu Ho","doi":"10.2139/ssrn.3653595","DOIUrl":null,"url":null,"abstract":"The author proposes a committee approach to portfolio selection. Because each optimal portfolio is a combination of three basic elements—strategy, covariance matrix, and risk type—the author first augments the combination to 250 optimal portfolios at each estimation period. The author then defines a score to select the best portfolio to hold in the next period. Survival of the fittest, the superior performance of the combination portfolio, demonstrates that the committee approach to portfolio selection is not only effective but also easy to implement. TOPICS: Portfolio theory, portfolio construction Key Findings • This article proposes a flexible and easy-to-implement committee approach to portfolio selection. • This article defines an algorithm that proposes a score to select the best portfolio out of 250 augmented portfolios. • In survival of the fittest, evidence from several datasets shows that the resulting combination portfolio overcomes the distributional uncertainty and exhibits superior annualized performance.","PeriodicalId":199045,"journal":{"name":"The Journal of Financial Data Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Financial Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3653595","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

The author proposes a committee approach to portfolio selection. Because each optimal portfolio is a combination of three basic elements—strategy, covariance matrix, and risk type—the author first augments the combination to 250 optimal portfolios at each estimation period. The author then defines a score to select the best portfolio to hold in the next period. Survival of the fittest, the superior performance of the combination portfolio, demonstrates that the committee approach to portfolio selection is not only effective but also easy to implement. TOPICS: Portfolio theory, portfolio construction Key Findings • This article proposes a flexible and easy-to-implement committee approach to portfolio selection. • This article defines an algorithm that proposes a score to select the best portfolio out of 250 augmented portfolios. • In survival of the fittest, evidence from several datasets shows that the resulting combination portfolio overcomes the distributional uncertainty and exhibits superior annualized performance.
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
利用投资组合委员会进行投资组合选择
作者提出了一个委员会的方法来选择投资组合。由于每个最优投资组合是策略、协方差矩阵和风险类型三个基本要素的组合,因此作者首先在每个估计期间将组合增加到250个最优投资组合。然后,作者定义了一个分数,以选择在下一时期持有的最佳投资组合。优胜劣汰,组合投资组合的优越表现,证明了委员会投资组合方法不仅有效而且易于实施。•本文提出了一种灵活且易于实施的委员会投资组合选择方法。•本文定义了一种算法,该算法提出了一个分数,以选择250个增强投资组合中的最佳投资组合。•在适者生存中,来自多个数据集的证据表明,由此产生的组合投资组合克服了分布的不确定性,并表现出卓越的年化表现。
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
Managing Editor’s Letter Explainable Machine Learning Models of Consumer Credit Risk Predicting Returns with Machine Learning across Horizons, Firm Size, and Time Deep Calibration with Artificial Neural Network: A Performance Comparison on Option-Pricing Models RIFT: Pretraining and Applications for Representations of Interrelated Financial Time Series
×
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