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Dynamic identification of systemically important financial markets in the spread of contagion: A ripple network based collective spillover effect approach

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  • Su, Zhi
  • Xu, Fuwei

Abstract

A better understanding of financial contagion and systemically important financial markets will help market participants capture market information and assist regulators in preventing financial crises. We propose a ripple network based collective spillover effect approach to model the spread of financial contagion and analyze the systemic importance of financial markets. The crude oil market is taken as the source of financial contagion, and we analyze the path of the spread of contagion and systemic importance of 22 international financial markets. The empirical results show that financial contagion arising from the oil market spreads first to developed markets and then to developing markets. Thus, developed markets show the highest systemic importance, followed by developing markets, in the ripple-spreading process of financial contagion. Moreover, in terms of regions, the European and American markets have higher risk influence, but Asian markets have higher risk pressure.

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  • Su, Zhi & Xu, Fuwei, 2021. "Dynamic identification of systemically important financial markets in the spread of contagion: A ripple network based collective spillover effect approach," Journal of Multinational Financial Management, Elsevier, vol. 60(C).
  • Handle: RePEc:eee:mulfin:v:60:y:2021:i:c:s1042444x21000050
    DOI: 10.1016/j.mulfin.2021.100681
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    5. Hu, Yunchao & Lu, Guibin & Gao, Wenyu, 2022. "A study on China’s systemically important financial institutions based on multi-time scale causality networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    6. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2023. "Systemically important banks - emerging risk and policy responses: An agent-based investigation," LEM Papers Series 2023/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Fuwei Xu, 2024. "Modeling the Paths of China’s Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 47-73, January.

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