Hedge Fund Alpha – Net Zero Using a Dynamic Factor Approach

Alex Lostado, L. Nilsson
{"title":"Hedge Fund Alpha – Net Zero Using a Dynamic Factor Approach","authors":"Alex Lostado, L. Nilsson","doi":"10.2139/ssrn.3860453","DOIUrl":null,"url":null,"abstract":"Using a novel database, the NilssonHedge hedge fund database covering more than 350,000 return observations, we perform a large-scale multiple regression. We evaluate alpha against the Fama French five-factor model including momentum. Our findings are compatible with a net-zero alpha from hedge funds after fees, assuming frictionless factor implementation. On the positive side, our analysis reveals a substantial divergence between funds, leaving room for timing and selection opportunities within most of the strategies.","PeriodicalId":260048,"journal":{"name":"Capital Markets: Market Efficiency eJournal","volume":"72 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Capital Markets: Market Efficiency eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3860453","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

Using a novel database, the NilssonHedge hedge fund database covering more than 350,000 return observations, we perform a large-scale multiple regression. We evaluate alpha against the Fama French five-factor model including momentum. Our findings are compatible with a net-zero alpha from hedge funds after fees, assuming frictionless factor implementation. On the positive side, our analysis reveals a substantial divergence between funds, leaving room for timing and selection opportunities within most of the strategies.
对冲基金Alpha -净零使用动态因子方法
使用一个新颖的数据库,NilssonHedge对冲基金数据库,涵盖超过350,000个回报观测值,我们执行大规模的多元回归。我们对包括动量在内的Fama French五因素模型进行了评估。我们的研究结果与对冲基金扣除费用后的净零α相一致,假设无摩擦因素实施。从积极的方面来看,我们的分析揭示了基金之间的巨大差异,在大多数策略中为时机和选择机会留下了空间。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信