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Decoupling and the Spillover Effects of the US Financial Crisis: Evidence from the BRIC Markets

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  • Stelios D. Bekiros

    (Department of Economics, European University Institute and Rimini Centre for Economic Analysis (RCEA), Italy)

Abstract

Even though the global contagion effects of the financial crisis have been well documented, the transmission mechanism as well as the nature of the volatility spillovers among the US, EU and the BRIC markets has not been systematically investigated. To examine the dynamic linear and nonlinear causal linkages a stepwise filtering methodology is introduced, for which vector autoregressions and various multivariate GARCH representations are adopted. The sample covers the after-Euro period and includes the financial crisis and the Eurozone debt crisis. The empirical results show that the BRICs have become more internationally integrated after the US financial crisis and contagion is further substantiated. Moreover, no consistent evidence in support of the "decoupling" view is found. Some nonlinear causal links persist after filtering during the examined period. This indicates that nonlinear causality can, to a large extent, be explained by simple volatility effects, although tail dependency and higher-moments may be significant factors of the remaining interdependences.

Suggested Citation

  • Stelios D. Bekiros, 2013. "Decoupling and the Spillover Effects of the US Financial Crisis: Evidence from the BRIC Markets," Working Paper series 21_13, Rimini Centre for Economic Analysis.
  • Handle: RePEc:rim:rimwps:21_13
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    File URL: http://www.rcea.org/RePEc/pdf/wp21_13.pdf
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    Cited by:

    1. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Financial market interdependencies: A quantile regression analysis of volatility spillover," Research in International Business and Finance, Elsevier, vol. 36(C), pages 140-157.
    2. Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
    3. Ahdi Noomen Ajmi & Ghassen El-montasser & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Oil prices and MENA stock markets: new evidence from nonlinear and asymmetric causalities during and after the crisis period," Applied Economics, Taylor & Francis Journals, vol. 46(18), pages 2167-2177, June.
    4. Cho, Sungjun & Hyde, Stuart & Nguyen, Ngoc, 2015. "Time-varying regional and global integration and contagion: Evidence from style portfolios," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 109-131.
    5. Momin, Ebaad & Masih, Mansur, 2015. "Do US policy uncertainty, leveraging costs and global risk aversion impact emerging market equities? An application of bounds testing approach to the BRICS," MPRA Paper 65834, University Library of Munich, Germany.

    More about this item

    Keywords

    stock markets; nonlinear causality; filtering; GJR-GARCH; multivariate GARCH models; spillovers;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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