要素投资中的行业中立是错误的吗?

IF 3.4 3区 经济学 Q1 BUSINESS, FINANCE
Sina Ehsani, Campbell R. Harvey, Feifei Li
{"title":"要素投资中的行业中立是错误的吗?","authors":"Sina Ehsani, Campbell R. Harvey, Feifei Li","doi":"10.1080/0015198X.2023.2196931","DOIUrl":null,"url":null,"abstract":"Abstract Stock characteristics have two sources of predictive power. First, a characteristic might be valuable in identifying high or low expected returns across industries. Second, a characteristic might be useful in identifying individual stock expected returns within an industry. Past studies generally find that the firm-specific component is the strongest predictor, leading many to sector neutralize their factor exposures. We show both analytically and empirically that the average long–short investor is more likely to benefit from hedging out sector bets, whereas the long-only investor should, on average, avoid sector neutralization.","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"79 1","pages":"95 - 117"},"PeriodicalIF":3.4000,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Is Sector Neutrality in Factor Investing a Mistake?\",\"authors\":\"Sina Ehsani, Campbell R. Harvey, Feifei Li\",\"doi\":\"10.1080/0015198X.2023.2196931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Stock characteristics have two sources of predictive power. First, a characteristic might be valuable in identifying high or low expected returns across industries. Second, a characteristic might be useful in identifying individual stock expected returns within an industry. Past studies generally find that the firm-specific component is the strongest predictor, leading many to sector neutralize their factor exposures. We show both analytically and empirically that the average long–short investor is more likely to benefit from hedging out sector bets, whereas the long-only investor should, on average, avoid sector neutralization.\",\"PeriodicalId\":48062,\"journal\":{\"name\":\"Financial Analysts Journal\",\"volume\":\"79 1\",\"pages\":\"95 - 117\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2023-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Financial Analysts Journal\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/0015198X.2023.2196931\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Analysts Journal","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/0015198X.2023.2196931","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1

摘要

股票特征的预测能力有两个来源。首先,一个特征可能在识别各行业的高或低预期回报方面很有价值。其次,特征可能有助于确定行业内单个股票的预期回报。过去的研究普遍发现,公司特定成分是最强的预测因子,导致许多部门抵消其因素暴露。我们从分析和经验两方面表明,平均多空投资者更有可能从对冲行业赌注中获益,而平均而言,只做多的投资者应该避免行业中和。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is Sector Neutrality in Factor Investing a Mistake?
Abstract Stock characteristics have two sources of predictive power. First, a characteristic might be valuable in identifying high or low expected returns across industries. Second, a characteristic might be useful in identifying individual stock expected returns within an industry. Past studies generally find that the firm-specific component is the strongest predictor, leading many to sector neutralize their factor exposures. We show both analytically and empirically that the average long–short investor is more likely to benefit from hedging out sector bets, whereas the long-only investor should, on average, avoid sector neutralization.
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
Financial Analysts Journal
Financial Analysts Journal BUSINESS, FINANCE-
CiteScore
5.40
自引率
7.10%
发文量
31
期刊介绍: The Financial Analysts Journal aims to be the leading practitioner journal in the investment management community by advancing the knowledge and understanding of the practice of investment management through the publication of rigorous, peer-reviewed, practitioner-relevant research from leading academics and practitioners.
×
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