The four-parameter kappa distribution
IBM Journal of Research and Development
Goodness-of-fit tests for copulas
Journal of Multivariate Analysis
Computational Statistics & Data Analysis
An Introduction to Copulas
Fourier methods for testing multivariate independence
Computational Statistics & Data Analysis
Copula, marginal distributions and model selection: a Bayesian note
Statistics and Computing
Efficient estimation of copula-GARCH models
Computational Statistics & Data Analysis
Time-varying joint distribution through copulas
Computational Statistics & Data Analysis
Structural and Multidisciplinary Optimization
Modelling multi-output stochastic frontiers using copulas
Computational Statistics & Data Analysis
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The problem of the identification of dependencies between time series of equity returns is analyzed. Marginal distribution functions are assumed to be known, and a bivariate chi-square test of fit is applied in a fully parametric copula approach. Several marginal models and families of copulas are fitted and compared with Spanish stock market data. The results show the difficulty in adjusting the bivariate distribution of raw returns, and highlight the effect of a GARCH filtering in the selection of the best fitting copula.