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Extreme values dependence of risk in Latin American markets

Author

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  • Marcelo Brutti Righi

    (Universidade Federal de Santa Maria)

  • Paulo Sergio Ceretta

    (Universidade Federal de Santa Maria)

Abstract

This paper aims to determine which extreme value copula is best suited to the bivariate relationships between shocks of U.S market with Brazilian, Argentine and Mexican markets. We used prices of S&P500, Ibovespa, Merval and IPC from January, 3, 2009 to December, 31, 2010, totaling 483 observations. We estimated Gumbel, Galambos, Husler Reiss and Student's t (extreme-value - TEV) copulas. Results allow concluding that there is a strong dependence on the tails of the joint probability distribution of these markets. Nevertheless, the Gumbel copula for Brazil, Husler-Reiss copula for Argentina and TEV copula for Mexico had the best fit. Thus, its important use an extreme value properly diversify the risk in a portfolio that consist of assets in these countries, especially in turbulence periods.

Suggested Citation

  • Marcelo Brutti Righi & Paulo Sergio Ceretta, 2011. "Extreme values dependence of risk in Latin American markets," Economics Bulletin, AccessEcon, vol. 31(4), pages 2903-2914.
    • Handle: RePEc:ebl:ecbull:eb-11-00437
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    References listed on IDEAS

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    Cited by:

    1. Paulo Sergio Ceretta & Alexandre Silva Da costa, 2017. "The Gap Effect on the Brazilian Exchange," Economics Bulletin, AccessEcon, vol. 37(4), pages 2505-2516.

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    More about this item

    Keywords

    Risk; Extreme values; copulas; Transmission; Emerging markets;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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