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Structural breaks and financial volatility: Lessons from BRIC countries

  • Morales, Lucía
  • Gassie, Esmeralda
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    Despite the fact that there is a substantial literature on the analysis of volatility spillovers between stock returns and domestic exchange rates, surprisingly, little empirical research has examined volatility spillovers between oil prices and emerging economies, where a clear gap of research have been found regarding to the BRIC financial markets and the effects of the 2007-2009 World economy crisis. This lack of research might appear as surprising given that energy markets are of particular interest as they are considered a fundamental reference for economic recovery and growth. Therefore, this work aims to address this gap on the literature by looking at the BRIC financial markets and their co-movements with regard to some energy markets (oil, natural gas and electricity) and also to the international pressures that may arise from fluctuations originated in the US stock markets. This research major findings show compelling evidence highlighting the weak integration levels that exist among the Chinese financial markets, energy markets and the US stock market. On the other hand, the Brazilian, Indian and Russian markets are found to be more sensitive to international shocks arisen from US markets and also to energy markets instability, especially with regard to oil market uncertainty.

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    File URL: http://econstor.eu/bitstream/10419/50791/1/67077491X.pdf
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    Paper provided by Leib­niz Institute of Agricultural Development in Central and Eastern Europe (IAMO) in its series IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth with number 13.

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    Date of creation: 2011
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    Handle: RePEc:zbw:iamo11:13
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    1. Ramaprasad Bhar & Biljana Nikolova, 2009. "Oil Prices and Equity Returns in the BRIC Countries," The World Economy, Wiley Blackwell, vol. 32(7), pages 1036-1054, 07.
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    3. Sabiruzzaman, Md. & Monimul Huq, Md. & Beg, Rabiul Alam & Anwar, Sajid, 2010. "Modeling and forecasting trading volume index: GARCH versus TGARCH approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(2), pages 141-145, May.
    4. Agnolucci, Paolo, 2009. "Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models," Energy Economics, Elsevier, vol. 31(2), pages 316-321, March.
    5. Malik, Farooq & Ewing, Bradley T., 2009. "Volatility transmission between oil prices and equity sector returns," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 95-100, June.
    6. BAI, Jushan & PERRON, Pierre, 1998. "Computation and Analysis of Multiple Structural-Change Models," Cahiers de recherche 9807, Universite de Montreal, Departement de sciences economiques.
    7. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
    8. Viviana Fernandez, 2004. "Detection of Breakpoints in Volatility," Documentos de Trabajo 194, Centro de Economía Aplicada, Universidad de Chile.
    9. Medeiros, Marcelo C. & Veiga, Alvaro, 2009. "Modeling Multiple Regimes In Financial Volatility With A Flexible Coefficient Garch(1,1) Model," Econometric Theory, Cambridge University Press, vol. 25(01), pages 117-161, February.
    10. Bhar, Ramaprasad & Nikolova, Biljana, 2007. "Analysis of Mean and Volatility Spillovers Using BRIC Countries, Regional and World Equity Index Returns," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 22, pages 369-381.
    11. Andreu Sansó & Vicent Aragó & Josep Lluís Carrion, 2003. "Testing for Changes in the Unconditional Variance of Financial Time Series," DEA Working Papers 5, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    12. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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