应用新闻情感优化资产配置策略

IF 0.6 Q4 BUSINESS, FINANCE
P. Rohner, Matthias W. Uhl
{"title":"应用新闻情感优化资产配置策略","authors":"P. Rohner, Matthias W. Uhl","doi":"10.3905/joi.2021.1.203","DOIUrl":null,"url":null,"abstract":"In this article, the authors show that it is possible to enhance traditional Black and Litterman strategic asset allocation (SAA) models with a behavioral approach based on news sentiment. In an out-of-sample backtest over 10 years, the news sentiment–based SAA outperforms the benchmark SAA by 0.5% a year with less risk and a 20% higher Sharpe ratio. The news sentiment data are also statistically different from price momentum measures.","PeriodicalId":45504,"journal":{"name":"Journal of Investing","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Applying News Sentiment for Optimizing Strategic Asset Allocations\",\"authors\":\"P. Rohner, Matthias W. Uhl\",\"doi\":\"10.3905/joi.2021.1.203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, the authors show that it is possible to enhance traditional Black and Litterman strategic asset allocation (SAA) models with a behavioral approach based on news sentiment. In an out-of-sample backtest over 10 years, the news sentiment–based SAA outperforms the benchmark SAA by 0.5% a year with less risk and a 20% higher Sharpe ratio. The news sentiment data are also statistically different from price momentum measures.\",\"PeriodicalId\":45504,\"journal\":{\"name\":\"Journal of Investing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2021-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Investing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3905/joi.2021.1.203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Investing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/joi.2021.1.203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

在这篇文章中,作者表明,通过基于新闻情绪的行为方法,可以增强传统的Black和Litterman战略资产配置(SAA)模型。在10年的样本外回溯测试中,基于新闻情绪的SAA每年比基准SAA高0.5%,风险较小,夏普比率高出20%。新闻情绪数据在统计上也与价格动量指标不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying News Sentiment for Optimizing Strategic Asset Allocations
In this article, the authors show that it is possible to enhance traditional Black and Litterman strategic asset allocation (SAA) models with a behavioral approach based on news sentiment. In an out-of-sample backtest over 10 years, the news sentiment–based SAA outperforms the benchmark SAA by 0.5% a year with less risk and a 20% higher Sharpe ratio. The news sentiment data are also statistically different from price momentum measures.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Investing
Journal of Investing BUSINESS, FINANCE-
CiteScore
1.10
自引率
16.70%
发文量
42
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信