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Dependence Structure and Risk Measure

Author

Listed:
  • Thierry Ane

    (University of Lausanne)

  • Cecile Kharoubi

    (University Paris Dauphine)

Abstract

Understanding the relationships among multivariate assets would help one greatly about how best to position one's investments and enhance one's financial risk protection. We present a new method to model parametrically the dependence structure of stock index returns through a continuous distribution function, which links an n-dimensional density to its one-dimensional margins. The resulting multivariate model could be used in a wide range of financial applications. Focusing on risk management, we show that a misspecification of the dependence structure introduces, on average, an error in Value-at-Risk estimates.

Suggested Citation

  • Thierry Ane & Cecile Kharoubi, 2003. "Dependence Structure and Risk Measure," The Journal of Business, University of Chicago Press, vol. 76(3), pages 411-438, July.
    • Handle: RePEc:ucp:jnlbus:v:76:y:2003:i:3:p:411-438
    DOI: 10.1086/375253
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