Masterarbeit, 2021
109 Seiten, Note: 1,7
This master's thesis examines the validity of established asset pricing factor models in the German stock market. It aims to explore the relevance of traditional and more recent factors in explaining the cross-sectional return variability of German stocks. The research investigates the empirical significance of these factors in capturing market anomalies and sector-specific return patterns.
The thesis begins with a thorough introduction to the field of asset pricing factor models. It explores the historical development of these models and examines existing research on their effectiveness. Chapter 2 delves into the theoretical framework and analyzes the classification of the German stock market in a global context. It further investigates the evolution of factor models, their empirical evidence, and the significance of established factors. Chapter 3 conducts a structural analysis of the German stock market, including basic characteristics, factor spanning tests, and sorting analysis. This chapter aims to establish a foundation for further investigation of return anomalies and sector-specific patterns. Chapter 4 focuses on the analysis of return anomalies in the German market, examining their descriptive statistics, conducting multifactor regressions, and performing out-of-sample analyses. This analysis provides insights into the predictive power of the identified anomalies. Finally, Chapter 5 delves into sector analysis, examining descriptive statistics, multifactor regressions, and rolling window regressions for specific sectors, highlighting the impact of factors on sector-specific returns. The thesis excludes any information from the conclusion and final chapter to avoid revealing major conclusions or spoilers.
Asset pricing factor models, German stock market, return anomalies, cross-sectional return variability, multifactor regressions, sector analysis, active and passive funds, out-of-sample performance, value, momentum, profitability, investment, size, liquidity, net payout yield.
The study examines the Carhart factor model, the Fama-French five-factor and six-factor models, the q-factor model by Hou, Wue and Zhang, and the mispricing factor model by Stambaugh and Yuan.
The models often provide similar explanatory power, though performance varies depending on the specific application, such as sector analysis or return anomalies. The six-factor model is generally preferred for its versatility.
The research investigates both global and Germany-specific return anomalies, including a detailed out-of-sample analysis of the net payout yield anomaly.
Yes, the thesis includes a descriptive and multifactor regression analysis of both actively and passively managed equity funds in the German market.
The analytical methods and regressions were performed using the software "Stata".
Der GRIN Verlag hat sich seit 1998 auf die Veröffentlichung akademischer eBooks und Bücher spezialisiert. Der GRIN Verlag steht damit als erstes Unternehmen für User Generated Quality Content. Die Verlagsseiten GRIN.com, Hausarbeiten.de und Diplomarbeiten24 bieten für Hochschullehrer, Absolventen und Studenten die ideale Plattform, wissenschaftliche Texte wie Hausarbeiten, Referate, Bachelorarbeiten, Masterarbeiten, Diplomarbeiten, Dissertationen und wissenschaftliche Aufsätze einem breiten Publikum zu präsentieren.
Kostenfreie Veröffentlichung: Hausarbeit, Bachelorarbeit, Diplomarbeit, Dissertation, Masterarbeit, Interpretation oder Referat jetzt veröffentlichen!

