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Handbook of Financial Time Series pp 767–785Cite as

Copula–Based Models for Financial Time Series

Abstract

This paper presents an overview of the literature on applications of copulas in the modelling of financial time series. Copulas have been used both in multivariate time series analysis, where they are used to characterize the (conditional) cross-sectional dependence between individual time series, and in univariate time series analysis, where they are used to characterize the dependence between a sequence of observations of a scalar time series process. The paper includes a broad, brief, review of the many applications of copulas in finance and economics.

Keywords

  • Marginal Distribution
  • Asset Return
  • Tail Dependence
  • Multivariate Time Series
  • Copula Model

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  1. Department of Economics and Oxford-Man Institute of Quantitative Finance, University of Oxford, Manor Road, Oxford OX1 3UQ, United Kingdom

    Andrew J. Patton

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    Patton, A.J. (2009). Copula–Based Models for Financial Time Series. In: Mikosch, T., Kreiß, JP., Davis, R., Andersen, T. (eds) Handbook of Financial Time Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71297-8_34

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