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Index-Tracking

Index-Tracking


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About the Book

Inhaltsangabe: Einleitung: Die Kälte im Winter und die Wärme im Sommer werden bewirkt durch die unterschiedliche Schrägstellung der Erde zur Sonne. Diese fundamentale Kausalität erlaubt jedoch keine exakte Prognose des Wetters an einem bestimmten Tag an einem bestimmten Ort. Auch bei Berücksichtigung nicht nur der allgemein geographischen Lage, sondern auch der speziellen örtlichen Gegebenheiten bleibt die konkrete Prognose ungenau. Die spezielle meteorologische Konstellation der aktuellen Wettersituation ist entscheidend für eine detaillierte kurzfristige Vorhersage. Mit zeitlich und örtlich zunehmendem Vorhersagebereich wird die Prognose zwangsläufig ungenauer. Die gesamte Aktienkursanalyse gleicht in zunehmendem Maße der Wettervorhersage und dürfte auch in Zukunft nicht viel genauer sein als diese. Im Gegenteil, eine Aktienkursprognose, die eine solche Genauigkeit wie die Wettervorhersage, sowohl kurzfristig als auch mittelfristig über das gesamte Jahr hinweg, aufweist, dürfte als sehr erfolgreich gelten. Die Entwicklungen der Aktienkurse in den letzten Jahren haben gezeigt, dass die Analysen und Prognosen von Investmentfondsmanagern für das Renditeverhalten ausgewählter Aktien fehlerhaft waren. Für einen Investor wurden die Kosten, die für solche Analysen anfielen, oftmals nicht durch überdurchschnittliche Aktienrenditen ausgeglichen. Wenn eine Prognose für das Renditeverhalten von Aktien nur bedingt möglich ist, stellt sich die Frage, inwieweit die Kosten einer Investition für einen Investor gesenkt werden können, ohne dass das Risiko dieser Investition zunimmt. Eine Investition in die Gesamtheit aller Aktien eines Aktienindexes verhindert zwar eine Risikozunahme, allerdings steigen auch die Kosten für An- und Verkauf von Aktien, da für jede Änderung der Zusammensetzung des Aktienindexes Aktienkäufe und -verkäufe durchgeführt werden müssen. Wenn das Renditeverhalten eines Aktienindexes jedoch weitestgehend mit einer geringeren Aktienanzahl als die der im Akt


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Product Details
  • ISBN-13: 9783838678719
  • Publisher: Diplom.de
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Spine Width: 6 mm
  • Weight: 190 gr
  • ISBN-10: 3838678710
  • Publisher Date: 01 Apr 2004
  • Height: 210 mm
  • No of Pages: 98
  • Series Title: German
  • Sub Title: Die Anwendung eines 'Genetischen Algorithmus' zur Erzeugung eines optimalen Tracking-Portfolios
  • Width: 148 mm


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