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Volatility Spillovers in Emerging Markets During the Global Financial Crisis: Diagonal BEKK Approach

Author

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  • Erten, Irem
  • Tuncel, Murat B.
  • Okay, Nesrin

Abstract

The fundamental aim of the paper is to analyze the presence and magnitude of the volatility transmissions in emerging markets, namely India, Hungary, Poland, Turkey and Brazil prior to, and during the latest financial turmoil. Using weekly returns of stock market indices from 2005 to 2011, the study applies Multivariate BEKK Methodology. The empirical results indicate that there exist significant volatility spillover effects for all five countries, though the spillovers are not homogeneous across the pairs. Results exhibit very large GARCH and relatively low ARCH effects. The study provides evidence of high level of financial integration in emerging markets. From an investor perspective, one important implication is that adding stocks from different emerging markets to a porfolio does not lead to risk reduction.

Suggested Citation

  • Erten, Irem & Tuncel, Murat B. & Okay, Nesrin, 2012. "Volatility Spillovers in Emerging Markets During the Global Financial Crisis: Diagonal BEKK Approach," MPRA Paper 56190, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:56190
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    References listed on IDEAS

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    1. Nathaniel Frank & Heiko Hesse, 2009. "Financial Spillovers to Emerging Markets during the Global Financial Crisis," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 59(6), pages 507-521, December.
    2. Helen Higgs & Andrew Worthington, 2004. "Transmission of returns and volatility in art markets: a multivariate GARCH analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 11(4), pages 217-222.
    3. Andrew Worthington & Helen Higgs, 2004. "Transmission of equity returns and volatility in Asian developed and emerging markets: a multivariate GARCH analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 71-80.
    4. Chuang, I-Yuan & Lu, Jin-Ray & Tswei, Keshin, 2007. "Interdependence of international equity variances: Evidence from East Asian markets," Emerging Markets Review, Elsevier, vol. 8(4), pages 311-327, December.
    5. Bhar, Ramaprasad & Nikolova, Biljana, 2009. "Return, volatility spillovers and dynamic correlation in the BRIC equity markets: An analysis using a bivariate EGARCH framework," Global Finance Journal, Elsevier, vol. 19(3), pages 203-218.
    6. Beirne, John & Caporale, Guglielmo Maria & Schulze-Ghattas, Marianne & Spagnolo, Nicola, 2010. "Global and regional spillovers in emerging stock markets: A multivariate GARCH-in-mean analysis," Emerging Markets Review, Elsevier, vol. 11(3), pages 250-260, September.
    7. Elena Fedorova & Kashif Saleem, 2010. "Volatility Spillovers between Stock and Currency Markets: Evidence from Emerging Eastern Europe," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(6), pages 519-533, December.
    8. Li, Hong & Majerowska, Ewa, 2008. "Testing stock market linkages for Poland and Hungary: A multivariate GARCH approach," Research in International Business and Finance, Elsevier, vol. 22(3), pages 247-266, September.
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    Cited by:

    1. Zexuan Yin & Paolo Barucca, 2022. "Neural Generalised AutoRegressive Conditional Heteroskedasticity," Papers 2202.11285, arXiv.org.
    2. Muhammad Niaz Khan & Suzanne G. M. Fifield & Nongnuch Tantisantiwong & David M. Power, 2022. "Changes in co-movement and risk transmission between South Asian stock markets amidst the development of regional co-operation," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(1), pages 87-117, March.

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    More about this item

    Keywords

    Volatility Spillovers; Diagonal BEKK; Multivariate GARCH; Equity Markets;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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