The Examination of a Profitability-Based Four-Factor Model to Explain Stock Returns: Empirical Evidence from the German Stock Market

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Zitierfähiger Link (URI): http://hdl.handle.net/10900/69133
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-691337
http://dx.doi.org/10.15496/publikation-10550
Dokumentart: Wissenschaftlicher Artikel
Erscheinungsdatum: 2016
Originalveröffentlichung: Reutlinger Diskussionsbeiträge zu Finanz- & Rechnungswesen ; 2016,1
Sprache: Englisch
Fakultät: 6 Wirtschafts- und Sozialwissenschaftliche Fakultät
6 Wirtschafts- und Sozialwissenschaftliche Fakultät
Fachbereich: Sonstige/Externe
DDC-Klassifikation: 330 - Wirtschaft
Schlagworte: Capital-Asset-Pricing-Modell , Aktienmarkt , Rendite , Risiko , Deutschland , Statistische Analyse
Freie Schlagwörter:
Capital Asset Pricing Model
Stock Market
Germany
Return
Risk
Four-Factor model
Statistical Analysis
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Abstract:

In a recent publication Novy-Marx (2013) finds evidence that the variable gross profitabil-ity has a strong statistical influence on the common variation of stock returns. He also points out that there is common variation in stock returns related to firm profitability that is not captured by the three-factor model of Fama and French (1993). Thus, this thesis aug-ments the three-factor model by the factor gross profitability and examines whether a prof-itability-based four-factor model is able to better explain monthly portfolio excess returns on the German stock market compared to the three-factor model of Fama and French (1993) and the Capital Asset Pricing Model (CAPM). Based on monthly stock returns of the CDAX over the period July 2008 to June 2014 this thesis documents four main findings. First, a significant positive market risk premium and a significant positive value premium can be identified. No evidence is found for a size or a profitability effect. Second, all included fac-tors have a strong significant effect on monthly portfolio excess returns. Third, the four-factor model clearly outperforms both the three-factor model of Fama and French (1993) and the CAPM in capturing the common variation in monthly portfolio excess returns. The CAPM performs worst. Finally, the results indicate that the three-factor model of Fama and French (1993) is somewhat better in explaining the cross-section of portfolio excess returns than the four-factor model. Again, the CAPM performs worst. Nevertheless, the four-factor model is considered to be an improvement over the three-factor model of Fama and French (1993) and the CAPM in determining stock returns on the German stock market.

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