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Schneider, S. Übersicht zu einigen Zusammenhängen und möglichen Erklärungsansätzen ausgewählter Renditeanomalien an Aktienmärkten. Credit and Capital Markets – Kredit und Kapital, 38(2), 235-283. https://doi.org/10.3790/ccm.38.2.235
Schneider, Sebastian "Übersicht zu einigen Zusammenhängen und möglichen Erklärungsansätzen ausgewählter Renditeanomalien an Aktienmärkten" Credit and Capital Markets – Kredit und Kapital 38.2, 2005, 235-283. https://doi.org/10.3790/ccm.38.2.235
Schneider, Sebastian (2005): Übersicht zu einigen Zusammenhängen und möglichen Erklärungsansätzen ausgewählter Renditeanomalien an Aktienmärkten, in: Credit and Capital Markets – Kredit und Kapital, vol. 38, iss. 2, 235-283, [online] https://doi.org/10.3790/ccm.38.2.235

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Übersicht zu einigen Zusammenhängen und möglichen Erklärungsansätzen ausgewählter Renditeanomalien an Aktienmärkten

Schneider, Sebastian

Credit and Capital Markets – Kredit und Kapital, Vol. 38 (2005), Iss. 2 : pp. 235–283

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Sebastian Schneider, Augsburg

References

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Abstract

In the anomaly discussion, two explanatory approaches are diametrically opposed. On the one hand, market inefficiencies may result in the observed rate-ofreturn patterns. But it is also possible on the other hand that risk factors are the determinants of rate-of-return generation. However, the anomaly discussion neglects almost entirely the reliability allowing derogations of the CAPM to be identified. It follows therefrom that it cannot be precluded that rate-of-return anomalies represent just statistical artefacts. This contribution therefore systematises rate-of-return anomalies and introduces possible explanatory methods. It not only shows in a comprehensive manner index figure-related rate-of-return anomalies, but also correlations between the rate-of-return anomalies represented and possible explanatory approaches. In this context, the robustness of the anomalies to time-variable beta factors are tested and answers are attempted to whether selected index figures represent risk factors in a multi-factorial model or whether they represent anomaly factors.