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Emerging markets in the global economic network: Real(ly) decoupling?

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  • Trancoso, Tiago

Abstract

We evaluate the degree of business cycle interdependence in the global economic network, focusing on the hypothesis that emergent market (EM) economies have decoupled from advanced economies in the recent period of globalization. We employ a novel methodological approach to the study of business cycles synchronization that combines network analysis and dynamic correlations. We find a process of increasing transnational interdependence within and across all economic development groups. Our results suggest that EM do not form a cohesive group and support the view of an increasingly multipolar and interdependent global economic network.

Suggested Citation

  • Trancoso, Tiago, 2014. "Emerging markets in the global economic network: Real(ly) decoupling?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 499-510.
  • Handle: RePEc:eee:phsmap:v:395:y:2014:i:c:p:499-510
    DOI: 10.1016/j.physa.2013.10.031
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    Cited by:

    1. repec:eee:finlet:v:21:y:2017:i:c:p:47-52 is not listed on IDEAS
    2. Changmo Ahn & Gyemin Lee & Dongkoo Chang, "undated". "The Global Financial Crisis and Transmission Channels: An International Network Analysis," Working Papers wp07, South East Asian Central Banks (SEACEN) Research and Training Centre.
    3. Majapa, Mohamed & Gossel, Sean Joss, 2016. "Topology of the South African stock market network across the 2008 financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 35-47.
    4. Yao, Can-Zhong & Lin, Ji-Nan & Lin, Qing-Wen & Zheng, Xu-Zhou & Liu, Xiao-Feng, 2016. "A study of causality structure and dynamics in industrial electricity consumption based on Granger network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 297-320.
    5. Huang, Wei-Qiang & Zhuang, Xin-Tian & Yao, Shuang & Uryasev, Stan, 2016. "A financial network perspective of financial institutions’ systemic risk contributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 183-196.
    6. Yao, Can-Zhong & Lin, Ji-Nan & Liu, Xiao-Feng, 2016. "A study of hierarchical structure on South China industrial electricity-consumption correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 129-145.
    7. Stefan Lyocsa & Tomas Vyrost & Eduard Baumohl, 2015. "Return spillovers around the globe: A network approach," Papers 1507.06242, arXiv.org, revised Nov 2015.

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