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Evolution of the Global Financial Network and Contagion: A New Approach

Author

Listed:
  • Ms. Yevgeniya Korniyenko
  • Manasa Patnam
  • Rita Maria del Rio-Chanon
  • Mason A. Porter

Abstract

This paper studies the interconnectedness of the global financial system and its susceptibility to shocks. A novel multilayer network framework is applied to link debt and equity exposures across countries. Use of this approach—that examines simultaneously multiple channels of transmission and their important higher order effects—shows that ignoring the heterogeneity of financial exposures, and simply aggregating all claims, as often done in other studies, can underestimate the extent and effects of financial contagion.The structure of the global financial network has changed since the global financial crisis, impacted by European bank’s deleveraging and higher corporate debt issuance. Still, we find that the structure of the system and contagion remain similar in that network is highly susceptible to shocks from central countries and those with large financial systems (e.g., the USA and the UK). While, individual European countries (excluding the UK) have relatively low impact on shock propagation, the network is highly susceptible to the shocks from the entire euro area. Another important development is the rising role of the Asian countries and the noticeable increase in network susceptibility to shocks from China and Hong Kong SAR economies.

Suggested Citation

  • Ms. Yevgeniya Korniyenko & Manasa Patnam & Rita Maria del Rio-Chanon & Mason A. Porter, 2018. "Evolution of the Global Financial Network and Contagion: A New Approach," IMF Working Papers 2018/113, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2018/113
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    Citations

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    Cited by:

    1. Gerson N. Cardoso & Geraldo E. Silva, 2024. "Electoral influences on the Brazilian B3 data correlation network," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 251-272, January.
    2. David M. Gould & Dror Y. Kenett & Georgi Panterov, 2021. "Multi‐dimensional economic connectivity: benefits, risks, and policy implications," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6110-6127, October.
    3. Bartesaghi, Paolo & Clemente, Gian Paolo & Grassi, Rosanna & Luu, Duc Thi, 2022. "The multilayer architecture of the global input-output network and its properties," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 304-341.
    4. Marco Bardoscia & Ginestra Bianconi & Gerardo Ferrara, 2019. "Multiplex network analysis of the UK over‐the‐counter derivatives market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1520-1544, October.
    5. Harrison, Michael & Nakajima, Jouchi & Shabani, Mimoza, 2023. "An evolution of global and regional banking networks: A focus on Japanese banks’ international expansion," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    6. Cuba, Walter & Rodriguez-Martinez, Anahi & Chavez, Diego A. & Caccioli, Fabio & Martinez-Jaramillo, Serafin, 2021. "A network characterization of the interbank exposures in Peru," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
    7. Paolo Bartesaghi & Michele Benzi & Gian Paolo Clemente & Rosanna Grassi & Ernesto Estrada, 2019. "Risk-dependent centrality in economic and financial networks," Papers 1907.07908, arXiv.org, revised Apr 2020.

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