Economics at your fingertips  

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

Dr. Florian Kiesel (), M.Sc. Andreas Lübbering () and Prof. Dr. Dirk Schiereck ()
Additional contact information
Dr. Florian Kiesel: Technische Universität Darmstadt, Hochschulstraße 1, 64289 Darmstadt
M.Sc. Andreas Lübbering: Technische Universität Darmstadt, Hochschulstraße 1, 64289 Darmstadt
Prof. Dr. Dirk Schiereck: Technische Universität Darmstadt, Hochschulstraße 1, 64289 Darmstadt

Credit and Capital Markets, 2018, vol. 51, issue 3, 389-420

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.

Keywords: Multifactor models; cross-section of stock returns; Fama/French three-factor model (search for similar items in EconPapers)
JEL-codes: G12 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations Track citations by RSS feed

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:

Access Statistics for this article

More articles in Credit and Capital Markets from Credit and Capital Markets
Bibliographic data for series maintained by Credit and Capital Markets ().

Page updated 2019-01-18
Handle: RePEc:kuk:journl:v:51:y:2018:i:3:p:389-420