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Conditional transmission of global shocks to emerging stock markets: evidence from the quantile connectedness network analysis

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  • Aviral Kumar Tiwari
  • Sangram Keshari Jena
  • Nader Trabelsi
  • Shawkat Hammoudeh

Abstract

The novel quantile connectedness network method is used to investigate the vulnerability of emerging stock markets to global shocks in the normal, bear and bull markets. The size of the system-wide shock for an emerging market is doubled, while its own shock is halved in the bear and bull markets relative to the normal market and vice versa. As the size of the systemic shock increases in the bear and bull markets, which leads to an increase in the bilateral shock for emerging markets. Although the dollar index emerged as a risk factor only in the normal market, oil is not a risk factor for the emerging market bloc, irrespective of the state of the market. However, the US stock market is a major risk factor for emerging markets in all kinds of market conditions, although the degree of the shock spillover is more pronounced in the normal market than in the bear and bull markets. The robustness of the vulnerability is verified in a time-varying framework. Policy implications are also discussed.

Suggested Citation

  • Aviral Kumar Tiwari & Sangram Keshari Jena & Nader Trabelsi & Shawkat Hammoudeh, 2022. "Conditional transmission of global shocks to emerging stock markets: evidence from the quantile connectedness network analysis," Applied Economics, Taylor & Francis Journals, vol. 54(31), pages 3621-3634, July.
    • Handle: RePEc:taf:applec:v:54:y:2022:i:31:p:3621-3634
    DOI: 10.1080/00036846.2021.2014396
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    Cited by:

    1. Yuan, Xi & Qin, Meng & Zhong, Yifan & Nicoleta-Claudia, Moldovan, 2023. "Financial roles in green investment based on the quantile connectedness," Energy Economics, Elsevier, vol. 117(C).
    2. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Chang, Tsangyao, 2022. "Dynamic price linkage of energies in transformation: Evidence from quantile connectedness," Resources Policy, Elsevier, vol. 78(C).
    3. Mensi, Walid & Rehman, Mobeen Ur & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2023. "Frequency dependence between oil futures and international stock markets and the role of gold, bonds, and uncertainty indices: Evidence from partial and multivariate wavelet approaches," Resources Policy, Elsevier, vol. 80(C).

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