Firm Fundamentals and Realized Factor Betas

M. Halling, M. Ibert, M. Lenz
{"title":"Firm Fundamentals and Realized Factor Betas","authors":"M. Halling, M. Ibert, M. Lenz","doi":"10.2139/ssrn.3011256","DOIUrl":null,"url":null,"abstract":"Firm fundamentals, in particular firm size, help explain variation in factor loadings (betas) for the market, size and value factor. Surprisingly, however, they are dominated in terms of explanatory power by an unobserved time-invariant component. This leads to surprisingly stable factor loadings: stocks with high (low) factor loadings tend to remain as such for over a decade. Our models work best in explaining market betas (r-squares up to 64%) and worst in explaining value betas (r-squares up to 35%). These results are robust to different estimation techniques of factor betas and also hold up when we limit the sample to firms with statistically significant betas.","PeriodicalId":187122,"journal":{"name":"Swedish House of Finance Research Paper Series","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Swedish House of Finance Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3011256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Firm fundamentals, in particular firm size, help explain variation in factor loadings (betas) for the market, size and value factor. Surprisingly, however, they are dominated in terms of explanatory power by an unobserved time-invariant component. This leads to surprisingly stable factor loadings: stocks with high (low) factor loadings tend to remain as such for over a decade. Our models work best in explaining market betas (r-squares up to 64%) and worst in explaining value betas (r-squares up to 35%). These results are robust to different estimation techniques of factor betas and also hold up when we limit the sample to firms with statistically significant betas.
公司基本面和已实现的贝塔系数
公司基本面,特别是公司规模,有助于解释市场、规模和价值因素的因素负荷(贝塔)的变化。然而,令人惊讶的是,就解释力而言,它们被一个未观察到的时不变成分所支配。这导致了令人惊讶的稳定因素负荷:高(低)因素负荷的股票往往会保持这种状态超过十年。我们的模型在解释市场贝塔(r平方高达64%)方面效果最好,在解释价值贝塔(r平方高达35%)方面效果最差。这些结果对不同的因子贝塔估计技术是稳健的,并且当我们将样本限制在具有统计显著贝塔的公司时也成立。
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