Quantile coherency networks of international stock markets

Eduard Baumohl and Syed Jawad Hussain Shahzad

EconStor Preprints from ZBW - Leibniz Information Centre for Economics

Abstract: This paper uses the novel quantile coherency approach to examine the tail dependence network of 49 international stock markets in the frequency domain. We find that geographical proximity and state of market development are important factors in stock markets networks. Both the short- and long-run connectedness significantly increased after the global financial crisis and spillover is higher during bearish market states, highlighting the possibility of contagion effect mainly among developed markets. Frontier and emerging markets are relatively less connected. These findings have implications for international equity market diversification and risk management.

Keywords: quantile coherency; networks; stock markets; extreme negative returns; financial crisis (search for similar items in EconPapers)
JEL-codes: C32 C40 G01 G15 (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-fmk, nep-ifn and nep-rmg
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Citations: View citations in EconPapers (38)

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Journal Article: Quantile coherency networks of international stock markets (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:esprep:194568

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