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Information linkages among emerging equity markets—an empirical study

Author

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  • Sanjay Sehgal

    (University of Delhi)

  • Payal Jain

    (University of Delhi)

Abstract

In this paper, we examine the price discovery and volatility spillovers among equity markets of eight emerging market economies (EMEs)—Brazil, China, India, Indonesia, Mexico, Russia, South Africa and Turkey—from January 2003 to July 2014, covering the 2007–2009 global financial crisis (GFC). The analysis is conducted for pre-crisis, crisis and post-crisis periods. The results of price discovery indicate that Brazil leads in pre-crisis period while South Africa leads during crisis period. No single market is dominant in the post-crisis period and across the full sample period as well. Dynamic cointegration test largely confirms the findings from the static Johansen’s cointegration test. Employing asymmetric dynamic conditional correlation and BEKK-GARCH models, we find that volatility spillovers reduced among the sample markets over time. The empirical results suggest that the information linkages among the sample EMEs’ equity markets weakened during the GFC and did not revert to stable period levels after the crisis. The findings have implications for policy makers and investors.

Suggested Citation

  • Sanjay Sehgal & Payal Jain, 2017. "Information linkages among emerging equity markets—an empirical study," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 44(1), pages 15-38, March.
  • Handle: RePEc:spr:decisn:v:44:y:2017:i:1:d:10.1007_s40622-016-0144-2
    DOI: 10.1007/s40622-016-0144-2
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    More about this item

    Keywords

    Emerging equity markets; Multivariate GARCH; Price discovery; Volatility spillover;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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