The New Palgrave Dictionary of Economics

2018 Edition
| Editors: Macmillan Publishers Ltd

Copulas

  • Pravin K. Trivedi
Reference work entry
DOI: https://doi.org/10.1057/978-1-349-95189-5_1960

Abstract

Copulas are functional forms that parameterize the joint distribution of random variables based on their stated marginal distributions and a dependence parameter. The approach is based on Sklar’s theorem. Copulas provide a general method for modelling dependence between random variables that may exhibit asymmetric dependence, which is often inadequately captured by measures of linear dependence. Copulas are often generated by using mixtures and convex sums. Although a bivariate distribution is the most commonly encountered specification, higher dimensional joint distributions can also be generated.

Keywords

Clayton copula Copulas Cumulative distribution functions GARCH effects Gaussian copula Gumbel copula Marginal distributions Selection models Sklar, A. Sklar’s theorem Tail dependence 
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Copyright information

© Macmillan Publishers Ltd. 2018

Authors and Affiliations

  • Pravin K. Trivedi
    • 1
  1. 1.