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Wann sind falsche VaR-Modelle dennoch adäquat?

Author

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  • Härdle, Wolfgang Karl
  • Hlávka, Zdeněk
  • Stahl, G.

Abstract

Die Berechnung des VaR führt zur Reduktion der Dimension des Raumes der Risikofaktoren. Die vorzunehmenden Vereinfachungen resultieren aus unterschiedlichen Beweggründen, z.B. technische Effizienz, Sachlogik der Ergebnisse und statistische Adäquanz des Modells. Im Kapitel 2 stellen wir drei gängige Mappingverfahren vor: das Marktindexmodell, das Hauptkomponentenmodell und das Modell mit gleichkorrelierten Risikofaktoren. Impulse für Methoden zum Vergleich dieser Modelle im Kapitel 3 kamen vor allem aus der Literatur zur Praxis der Beurteilung von Wetterprognosen (Murphy und Winkler 1992, Murphy 1997). Umfangreiche Überlegungen zu einer quantitativen Analyse werden im vierten Kapitel dieser Arbeit vorgestellt. Die empirische Analyse der DAX Daten wird abschließend mit XploRe durchgeführt.

Suggested Citation

  • Härdle, Wolfgang Karl & Hlávka, Zdeněk & Stahl, G., 2003. "Wann sind falsche VaR-Modelle dennoch adäquat?," SFB 373 Discussion Papers 2003,14, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    • Handle: RePEc:zbw:sfb373:200314
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    References listed on IDEAS

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    1. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
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