[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/mag/wpaper/100016.html
   My bibliography  Save this paper

Konstruktion und Anwendung von Copulas in der Finanzwirtschaft

Author

Listed:
  • Stefan Hlawatsch

    (Faculty of Economics and Management, Otto-von-Guericke University Magdeburg)

  • Peter Reichling

    (Faculty of Economics and Management, Otto-von-Guericke University Magdeburg)

Abstract
Copulas erfreuen sich in der Finanzwirtschaft wachsender Beliebtheit. Ursache hierfür ist insbesondere die Möglichkeit, mit ihrer Hilfe nicht-lineare Abhängigkeitsstrukturen darzustellen. Ein weiterer Vorteil besteht darin, dass multivariate Verteilungen mit Hilfe von Copulas separat in ihre Randverteilungen und in ihre Abhängigkeitsstruktur zerlegt werden können. Damit ist die Untersuchung der Abhängigkeitsstruktur losgelöst von Annahmen über die Randverteilungen. Diese Flexibilität ermöglicht die Anwendung von Copulas in zahlreichen Bereichen der Finanzwirtschaft, vom Risikomanagement über die Bewertung von komplexen Finanzprodukten bis zur Portfoliooptimierung. Die vorliegende Arbeit dient zum Einen als didaktischer Einstieg in die Copulathematik und stellt zum Anderen die aktuellen Forschungsergebnisse aus den genannten Bereichen vor.

Suggested Citation

  • Stefan Hlawatsch & Peter Reichling, 2010. "Konstruktion und Anwendung von Copulas in der Finanzwirtschaft," FEMM Working Papers 100016, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  • Handle: RePEc:mag:wpaper:100016
    as

    Download full text from publisher

    File URL: http://www.fww.ovgu.de/fww_media/femm/femm_2010/2010_16.pdf
    File Function: First version, 2010
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Copula; Portfoliomanagement; Risikomanagement; Optionspreisbewertung;
    All these keywords.

    JEL classification:

    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mag:wpaper:100016. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Guido Henkel (email available below). General contact details of provider: https://edirc.repec.org/data/fwmagde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.