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Estimating value at risk and optimal hedge ratio in Latin markets: a copula-based GARCH approach

Author

Listed:
  • Marcelo Brutti Righi

    () (Universidade Federal de Santa Maria)

  • Paulo Sérgio Ceretta

    () (Universidade Federal de Santa Maria)

Abstract

In this paper we use a copula-based GARCH model to estimate conditional variances and covariances of the bivariate relationships between U.S. market with Brazilian, Argentinean and Mexican markets. To that we used daily prices of S&P500, Ibovespa, Merval and IPC from January 2009 to December 2010, totaling 483 observations. The results allows to conclude that both the volatility of Latin markets, such as its dependence with the U.S. decreased in the period, resulting in lower estimates for the VaR and Hedge, compared with those based on the unconditional variance and covariance, emphasizing that after theeffects of the 2007/2008 U.S. crisis, these Latin markets can again be considered as options for international diversification for investors with assets of the U.S. market in their portfolio.

Suggested Citation

  • Marcelo Brutti Righi & Paulo Sérgio Ceretta, 2011. "Estimating value at risk and optimal hedge ratio in Latin markets: a copula-based GARCH approach," Economics Bulletin, AccessEcon, vol. 31(2), pages 1717-1730.
  • Handle: RePEc:ebl:ecbull:eb-11-00400
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    File URL: http://www.accessecon.com/Pubs/EB/2011/Volume31/EB-11-V31-I2-P157.pdf
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    References listed on IDEAS

    as
    1. Dufrénot, Gilles & Mignon, Valérie & Péguin-Feissolle, Anne, 2011. "The effects of the subprime crisis on the Latin American financial markets: An empirical assessment," Economic Modelling, Elsevier, vol. 28(5), pages 2342-2357, September.
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    Cited by:

    1. Marcelo Brutti Righi & Paulo Sergio Ceretta, 2012. "Global Risk Evolution and Diversification: a Copula-DCC-GARCH Model Approach," Brazilian Review of Finance, Brazilian Society of Finance, vol. 10(4), pages 529-550.

    More about this item

    Keywords

    Value at risk; Hedge ratio; Copula; Latin markets;

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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