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

Florian Kiesel, Andreas Lübbering and Dirk Schiereck

Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)

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.

Date: 2018
Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/153692/
References: Add references at CitEc
Citations:

Published in Credit and Capital Markets : Kredit und Kapital 3 (2018) : pp. 389-420

Downloads: (external link)
https://tuprints.ulb.tu-darmstadt.de/29649

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dar:wpaper:153692

Access Statistics for this paper

More papers in Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL) Contact information at EDIRC.
Bibliographic data for series maintained by Dekanatssekretariat ().