The Alternative Three-Factor Model: Evidence from the German Stock Market

Q4 Social Sciences Credit and Capital Markets Pub Date : 2018-09-01 DOI:10.3790/CCM.51.3.389
Florian Kiesel, Andreas Lübbering,, D. Schiereck
{"title":"The Alternative Three-Factor Model: Evidence from the German Stock Market","authors":"Florian Kiesel, Andreas Lübbering,, D. Schiereck","doi":"10.3790/CCM.51.3.389","DOIUrl":null,"url":null,"abstract":"This article applies the alternative three-factor model introduced by Chen/Novy-Marx/Zhang (2010) to the German stock market for the sample period of 2004 through 2015. We construct two new factors INV (“investment”) and ROA (“return on assets”) for companies listed on the highest segment of the Frankfurt Stock Exchange, and examine whether they can explain various stock market anomalies using linear time series regressions. Our results reveal that the theoretical assumptions of the model are valid for the German stock market. Firms with higher investments generally exhibit lower returns, while more profitable firms exhibit higher returns. However, we find that the alternative three-factor model does not explain capital market anomalies in the German market better than the factors of the traditional Fama/French (1993) three-factor model.","PeriodicalId":36966,"journal":{"name":"Credit and Capital Markets","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Credit and Capital Markets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3790/CCM.51.3.389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1

Abstract

This article applies the alternative three-factor model introduced by Chen/Novy-Marx/Zhang (2010) to the German stock market for the sample period of 2004 through 2015. We construct two new factors INV (“investment”) and ROA (“return on assets”) for companies listed on the highest segment of the Frankfurt Stock Exchange, and examine whether they can explain various stock market anomalies using linear time series regressions. Our results reveal that the theoretical assumptions of the model are valid for the German stock market. Firms with higher investments generally exhibit lower returns, while more profitable firms exhibit higher returns. However, we find that the alternative three-factor model does not explain capital market anomalies in the German market better than the factors of the traditional Fama/French (1993) three-factor model.
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
另类三因素模型:来自德国股市的证据
本文将Chen/Novy Marx/Zhang(2010)提出的替代三因素模型应用于德国股市2004年至2015年的样本期。我们为在法兰克福证券交易所最高板块上市的公司构建了两个新的因素INV(“投资”)和ROA(“资产回报率”),并检验它们是否可以使用线性时间序列回归来解释各种股市异常。我们的结果表明,该模型的理论假设对德国股市是有效的。投资较高的公司通常表现出较低的回报,而利润较高的公司表现出较高的回报。然而,我们发现,替代三因素模型并不能比传统的Fama/Franch(1993)三因素模型更好地解释德国市场的资本市场异常。
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
Credit and Capital Markets
Credit and Capital Markets Social Sciences-Law
CiteScore
0.50
自引率
0.00%
发文量
9
期刊最新文献
54th Konstanz Seminar on Monetary Theory and Policy 2023 A Novel Default Risk Prediction and Feature Importance Analysis Technique for Marketplace Lending using Machine Learning German FinTech Companies: A Market Overview and Volume Estimates FinTech and the Digital Transformation in the Financial Industry Towards a Theory on Dominant Business Model Emergence of Marketplace Lending in Germany
×
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:604180095
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