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Is global diversification rational? Evidence from emerging equity markets through mixed copula approach

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  • Evrim Turgutlu
  • Burcu Ucer

Abstract

In this article, we aim to model the level and structure of the dependence between the world's leading stock markets and those of the emerging market groups - Europe, Latin America and Far East. To this end we use a mixture model of Gaussian, Gumbel and Gumbel survival copulas. Our results indicate that none of the pairs of stock markets exhibit a right-tail dependence structure. All valid models exhibit a mixture of Gaussian and left-tail dependence structure. Our findings imply that Gaussian dependence structure is dominant in most of the models. The emerging equity markets in the European region exhibit the most significant dependence structure with the world leaders. Furthermore, most of the emerging equity markets have a significant dependence structure with the US stock market. We further compare our findings with the results of the conventional correlation coefficients and conclude the importance of using copula models in analysing the portfolio diversification opportunities. Our findings overall indicate two important remarks: First, the copula models reveal better indicators for global investors to establish a diversified portfolio; Second, international equity markets exhibit significant dependence, which leaves a smaller opportunity to benefit from international portfolio diversification.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:applec:v:42:y:2010:i:5:p:647-658
    DOI: 10.1080/00036840701704485
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    References listed on IDEAS

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    1. Mr. Paul Cashin & Mr. Manmohan S. Kumar & Mr. C. John McDermott, 1995. "International Integration of Equity Markets and Contagion Effects," IMF Working Papers 1995/110, International Monetary Fund.
    2. Roch, Oriol & Alegre, Antonio, 2006. "Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1312-1329, November.
    3. 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.
    4. Longin, Francois & Solnik, Bruno, 1995. "Is the correlation in international equity returns constant: 1960-1990?," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 3-26, February.
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    Cited by:

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    2. Ibrahim Ergen, 2014. "Tail dependence and diversification benefits in emerging market stocks: an extreme value theory approach," Applied Economics, Taylor & Francis Journals, vol. 46(19), pages 2215-2227, July.
    3. Tong, Bin & Diao, Xundi & Wu, Chongfeng, 2015. "Modeling asymmetric and dynamic dependence of overnight and daytime returns: An empirical evidence from China Banking Sector," Economic Modelling, Elsevier, vol. 51(C), pages 366-382.
    4. Jian Ni & Yue Xu, 2023. "Forecasting the Dynamic Correlation of Stock Indices Based on Deep Learning Method," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 35-55, January.
    5. Jae-Kwang Hwang, 2014. "Spillover Effects of the 2008 Financial Crisis in Latin America Stock Markets," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(3), pages 311-324, August.
    6. Chang, Kai & Zhang, Chao, 2018. "Asymmetric dependence structure between emissions allowances and wholesale diesel/gasoline prices in emerging China's emissions trading scheme pilots," Energy, Elsevier, vol. 164(C), pages 124-136.
    7. Kearney, Colm, 2012. "Emerging markets research: Trends, issues and future directions," Emerging Markets Review, Elsevier, vol. 13(2), pages 159-183.
    8. Jae-Kwang Hwang, 2012. "Dynamic Correlation Analysis of Asian Stock Markets," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(2), pages 227-237, May.

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