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Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market

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Listed:
  • Oriol Roch Casellas
  • Antonio Alegre Escolano

    (Universitat de Barcelona)

Abstract

In this paper we deal with the identification of dependencies between time series of equity returns. 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 families of copulas are fitted and compared with Spanish stock market data. The results show that the t-copula generally outperforms other dependence structures, and highlight the difficulty in adjusting a significant number of bivariate data series.

Suggested Citation

  • Oriol Roch Casellas & Antonio Alegre Escolano, 2005. "Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market," Working Papers in Economics 143, Universitat de Barcelona. Espai de Recerca en Economia.
    • Handle: RePEc:bar:bedcje:2005143
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    References listed on IDEAS

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    Cited by:

    1. Evrim Turgutlu & Burcu Ucer, 2010. "Is global diversification rational? Evidence from emerging equity markets through mixed copula approach," Applied Economics, Taylor & Francis Journals, vol. 42(5), pages 647-658.

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