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Modeling the Paths of China’s Systemic Financial Risk Contagion: A Ripple Network Perspective Analysis

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  • Fuwei Xu

    (Shandong University of Finance and Economics)

Abstract

Considering financial contagion has ripple effects, this paper proposes using contagion ripple-spreading network model to reveal the paths of financial contagion from different contagion source to the whole Chinese financial system, and study financial institutions’ systemic importance. We first study the contagion ripple-spreading process triggered by oil market. Then we select four financial institutions from banks, brokerages, insurance and other institutions as contagion source respectively to study the how contagion will spread once these financial institutions trigger financial contagion. Finally, centrality comprehensive evaluation method is applied with heterogeneous networks generated from different contagion ripple-spreading processes to study the institutions’ systemic importance. The empirical results show that the contagion triggered by oil market first spreads to other financial institutions, and then to banks, brokerages and insurance. The contagion triggered by a financial institution first spreads in financial sectors that the contagion source belongs to, and then to other sectors. Moreover, most brokerages and banks have highest systemic importance. Insurance and the rest of brokerages, banks have middle level of systemic importance. Other financial institutions are the least important institutions.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:compec:v:63:y:2024:i:1:d:10.1007_s10614-022-10329-4
    DOI: 10.1007/s10614-022-10329-4
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    1. Bongini, Paola & Clemente, Gian Paolo & Grassi, Rosanna, 2018. "Interconnectedness, G-SIBs and network dynamics of global banking," Finance Research Letters, Elsevier, vol. 27(C), pages 185-192.
    2. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    3. Corsi, Fulvio & Lillo, Fabrizio & Pirino, Davide & Trapin, Luca, 2018. "Measuring the propagation of financial distress with Granger-causality tail risk networks," Journal of Financial Stability, Elsevier, vol. 38(C), pages 18-36.
    4. Wang, Gang-Jin & Chen, Yang-Yang & Si, Hui-Bin & Xie, Chi & Chevallier, Julien, 2021. "Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 325-347.
    5. Aldasoro, Iñaki & Alves, Iván, 2018. "Multiplex interbank networks and systemic importance: An application to European data," Journal of Financial Stability, Elsevier, vol. 35(C), pages 17-37.
    6. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    7. Grzegorz Hałaj & Christoffer Kok, 2013. "Assessing interbank contagion using simulated networks," Computational Management Science, Springer, vol. 10(2), pages 157-186, June.
    8. Caccioli, Fabio & Farmer, J. Doyne & Foti, Nick & Rockmore, Daniel, 2015. "Overlapping portfolios, contagion, and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 50-63.
    9. Leventides, John & Loukaki, Kalliopi & Papavassiliou, Vassilios G., 2019. "Simulating financial contagion dynamics in random interbank networks," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 500-525.
    10. Laeven, Luc & Ratnovski, Lev & Tong, Hui, 2016. "Bank size, capital, and systemic risk: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 69(S1), pages 25-34.
    11. Agosto, Arianna & Ahelegbey, Daniel Felix & Giudici, Paolo, 2020. "Tree networks to assess financial contagion," Economic Modelling, Elsevier, vol. 85(C), pages 349-366.
    12. Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2015. "Financial Network Systemic Risk Contributions," Review of Finance, European Finance Association, vol. 19(2), pages 685-738.
    13. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    14. Fang, Libing & Sun, Boyang & Li, Huijing & Yu, Honghai, 2018. "Systemic risk network of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 35(C), pages 190-206.
    15. Gang-Jin Wang & Chi Xie & Kaijian He & H. Eugene Stanley, 2017. "Extreme risk spillover network: application to financial institutions," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1417-1433, September.
    16. 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).
    17. Soramäki, Kimmo & Cook, Samantha, 2013. "SinkRank: An algorithm for identifying systemically important banks in payment systems," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-27.
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