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Capital flows to Latin America: first quarter 2002

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With the first signals of a global economic recovery, prospects for private capital flows to emerging markets improved in the first quarter of 2002. Despite the concerns over corporate accounting practices in the U.S. and the deepening of the economic and financial crisis in Argentina, emerging equity and bond markets have outperformed those in industrialized countries. Emerging market equities and bonds in the first quarter of the year continued to show the strong performance that started in the fourth quarter of last year. The overall JP Morgan Chase EMBI+ excluding Argentina rose about 20% over the last two quarters and the MSCI Emerging Market Free Index of equities rose about 11% in the first quarter of this year. Although investors seem to be discriminating better among different emerging markets, contagion from events in Argentina is surfacing in Latin America. What started as a default in Argentina last year has led to currency devaluation in Uruguay, and has complicated the debt and financial situation in Brazil.

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  • -, 2003. "Capital flows to Latin America: first quarter 2002," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 28811, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    • Handle: RePEc:ecr:col896:28811
    Note: Includes bibliography
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    File URL: http://repositorio.cepal.org/handle/11362/28811
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    1. Wan-Lun Wang & Tsung-I Lin, 2015. "Robust model-based clustering via mixtures of skew-t distributions with missing information," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(4), pages 423-445, December.
    2. McLachlan, Geoff & Lee, Sharon X, 2013. "EMMIXuskew: An R Package for Fitting Mixtures of Multivariate Skew t Distributions via the EM Algorithm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i12).
    3. Komárek, Arnošt & Komárková, Lenka, 2014. "Capabilities of R Package mixAK for Clustering Based on Multivariate Continuous and Discrete Longitudinal Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i12).
    4. Matthias Finger & Rolf W. Künneke (ed.), 2011. "International Handbook of Network Industries," Books, Edward Elgar Publishing, number 12961.
    5. John Marangos & Charles J. Whalen, 2011. "Evolution without fundamental change: the Washington Consensus on economic development," Chapters, in: Charles J. Whalen (ed.), Financial Instability and Economic Security after the Great Recession, chapter 8, pages 153-178, Edward Elgar Publishing.
    6. Ahad Jamalizadeh & Tsung-I Lin, 2017. "A general class of scale-shape mixtures of skew-normal distributions: properties and estimation," Computational Statistics, Springer, vol. 32(2), pages 451-474, June.
    7. Wan-Lun Wang & Min Liu & Tsung-I Lin, 2017. "Robust skew-t factor analysis models for handling missing data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(4), pages 649-672, November.
    8. Mehdi Amiri & Ahad Jamalizadeh & Mina Towhidi, 2015. "Inference and further probabilistic properties of the $$ SUN_{n,2}$$ S U N n , 2 -distribution," Statistical Papers, Springer, vol. 56(4), pages 1071-1098, November.
    9. Maria Carolina Basso, 2016. "A Economia Brasileira Sob Restrição Do Balanço De Pagamentos: Uma Análise Empírica Da Lei De Thirlwall No Boom Das Commodities," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 089, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    10. Alvaro Cuervo-Cazurra & Luis Alfonso Dau, 2009. "Structural Reform and Firm Exports," Management International Review, Springer, vol. 49(4), pages 479-507, September.
    11. Tao Lu, 2017. "Bayesian inference on longitudinal-survival data with multiple features," Computational Statistics, Springer, vol. 32(3), pages 845-866, September.

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