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Interdependenzen in den Renditen DAX-notierter Unternehmen nach Branchen

Author

Listed:
  • Jonas Teitge
  • Andreas Nastansky

Abstract

Die Identifikation von Einflussfaktoren und deren Wirkungsrichtung auf die Kursentwicklung einer Aktie ist von großer Bedeutung für die Finanzmarktanalyse. Die wechselseitigen Zusammenhänge zwischen den Renditen spezifischer Aktien sind solche relevante Informationen. In diesem Beitrag werden die Interdependenzen von Aktienrenditen auf der Grundlage vektorautoregressiver (VAR)-Modelle für kleine, homogene Brachen- und Marktsegmente analysiert. Hierzu wurden die Renditen ausgewählter im Deutschen Aktienindex (DAX) notierter Unternehmen zu drei Branchensegmenten zusammengefasst. Darüber hinaus zeigt sich am Beispiel der Hoechst-Aktie, dass eine gemeinsame DAX-Notierung Einfluss auf das Beziehungsgeflecht der Renditen innerhalb eines Brachensegmentes nimmt.

Suggested Citation

  • Jonas Teitge & Andreas Nastansky, 2011. "Interdependenzen in den Renditen DAX-notierter Unternehmen nach Branchen," Statistische Diskussionsbeiträge 47, Universität Potsdam, Wirtschafts- und Sozialwissenschaftliche Fakultät.
    • Handle: RePEc:pot:statdp:47
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    More about this item

    Keywords

    Vektorautoregressive Modelle; Deutscher Aktienindex; Aktienrenditen; Impuls-Response-Analyse; Strukturbruch;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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