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Lévy copulae for financial returns

Author

Listed:
  • Okhrin Ostap

    (Chair of Econometrics and Statistics esp. Transportation, Institute of Economics and Transport, Faculty of Transportation, Dresden University of Technology, Helmholtzstraße 10, 01069 Dresden, Germany)

Abstract

The paper uses Lévy processes and bivariate Lévy copulae in order to model the behavior of intraday log-returns. Based on assumptions about the form of marginal tail integrals and a Clayton Lévy copula, the model allows for capturing intraday cross-dependency. The model is applied to VaR of the portfolios constructed on stock returns as well as on cryptocurrencies. The proposed method shows fair performance compared to classical time series models.

Suggested Citation

  • Okhrin Ostap, 2016. "Lévy copulae for financial returns," Dependence Modeling, De Gruyter, vol. 4(1), pages 1-18, December.
    • Handle: RePEc:vrs:demode:v:4:y:2016:i:1:p:18:n:17
    DOI: 10.1515/demo-2016-0017
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