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International stock market linkages: Evidence from Latin America

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  • Diamandis, Panayiotis F.
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    Abstract

    This paper examines long-run relationships between four Latin America stock markets and a mature stock market that of the US. We estimate both the autoregressive and moving average representations of a VAR model as suggested by Johansen [Johansen, S. (1988). Statistical analysis of cointegrating vectors, Journal of Economic Dynamics and Control, 12, 231-254, Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models, Econometrica, 59, 1551-1580.] using weekly observations for the period January 1988-July 2006. The main finding of the analysis suggests that there is one long-run relationship among the five equity markets. Application of the Gonzalo and Granger [Gonzalo, J., & Granger, C. W. J. (1995). Estimation of common long-memory components in cointegrated systems, Journal of Business and Economic Statistics, 13, 27-35.] methodology indicates that the examined stock markets are partially integrated, while there is also evidence that the four stock markets of Latin America (Argentina, Brazil, Chile and Mexico) together with the US stock market have four significant common permanent components, which drive this system of equity markets in the long run. Finally, we show that although cointegration exists there are small long-run benefits from international portfolio diversification since the stock prices adjust very slowly to these common trends.

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    Bibliographic Info

    Article provided by Elsevier in its journal Global Finance Journal.

    Volume (Year): 20 (2009)
    Issue (Month): 1 ()
    Pages: 13-30

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    Handle: RePEc:eee:glofin:v:20:y:2009:i:1:p:13-30

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    Web page: http://www.elsevier.com/locate/inca/620162

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    Keywords: Latin America equity markets Market integration Common stochastic trends International portfolio diversification;

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    Cited by:
    1. Walid Chkili, 2012. "Is currency risk priced for emerging stock markets?," Economics Bulletin, AccessEcon, vol. 32(3), pages 2267-2280.
    2. Mohamed El Hedi Arouri & Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen, 2013. "Long memory and structural breaks in modeling the return and volatility dynamics of precious metals," Working Papers hal-00798033, HAL.
    3. Arouri, Mohamed El Hedi & Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong, 2013. "On the short- and long-run efficiency of energy and precious metal markets," Energy Economics, Elsevier, vol. 40(C), pages 832-844.
    4. Arturo Lorenzo Valdés & Rocío Durán Vázquez & Leticia Armenta Fraire, 2012. "Conditional Correlation Between Oil and Stock Market Returns: The Case of Mexico," Remef - The Mexican Journal of Economics and Finance, Instituto Mexicano de Ejecutivos de Finanzas. Remef, October.
    5. Sensoy, Ahmet, 2013. "Dynamic relationship between precious metals," Resources Policy, Elsevier, vol. 38(4), pages 504-511.
    6. Joseph J. French & Wei-Xuan Li, 2012. "A note on US institutional equity flows to Brazil," Review of Accounting and Finance, Emerald Group Publishing, vol. 11(3), pages 298-315.
    7. Yang, Chunxia & Chen, Yanhua & Niu, Lei & Li, Qian, 2014. "Cointegration analysis and influence rank—A network approach to global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 168-185.
    8. Abu Bakar, Norhidayah & Masih, Abul Mansur M., 2014. "The Dynamic Linkages between Islamic Index and the Major Stock Markets: New Evidence from Wavelet time-scale decomposition Analysis," MPRA Paper 56977, University Library of Munich, Germany.
    9. Matthew S. Yiu & Wai-Yip Alex Ho & Lu Jin, 2010. "Dynamic Correlation Analysis of Financial Spillover to Asian and Latin American Markets in Global Financial Turmoil," Working Papers 1001, Hong Kong Monetary Authority.

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