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Lévy Copulas: Review of Recent Results

In: The Fascination of Probability, Statistics and their Applications

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  • Peter Tankov

    (Université Paris Diderot, Laboratoire de Probabilités Et Modèles Aléatoires
    National Research University Higher School of Economics, International Laboratory of Quantitative Finance)

Abstract

We review and extend the now considerable literature on Lévy copulas. First, we focus on Monte Carlo methods and present a new robust algorithm for the simulation of multidimensional Lévy processes with dependence given by a Lévy copula. Next, we review statistical estimation techniques in a parametric and a non-parametric setting. Finally, we discuss the interplay between Lévy copulas and multivariate regular variation and briefly review the applications of Lévy copulas in risk management. In particular, we provide a new easy-to-use sufficient condition for multivariate regular variation of Lévy measures in terms of their Lévy copulas.

Suggested Citation

  • Peter Tankov, 2016. "Lévy Copulas: Review of Recent Results," Springer Books, in: Mark Podolskij & Robert Stelzer & Steen Thorbjørnsen & Almut E. D. Veraart (ed.), The Fascination of Probability, Statistics and their Applications, pages 127-151, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-25826-3_7
    DOI: 10.1007/978-3-319-25826-3_7
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    Cited by:

    1. Aleksandar Mijatovi'c & Romain Palfray, 2022. "A weak MLMC scheme for L\'evy-copula-driven SDEs with applications to the pricing of credit, equity and interest rate derivatives," Papers 2211.02528, arXiv.org.

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