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Hierarchical contagions in the interdependent financial network

Author

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  • William A. Barnett

    (Department of Economics, University of Kansas, USA)

  • Xue Wang

    (Institute of Chinese Financial Studies, Southwestern University of Finance and Economics, Chengdu, China and Department of Economics, Emory University, USA)

  • Hai-Chuan Xu

    (Department of Finance and Research Center for Econophysics, East China University of Science and Technology, Shanghai, China)

  • Wei-Xing Zhou

    (Department of Finance and Research Center for Econophysics, East China University of Science and Technology, Shanghai, China)

Abstract

We model hierarchical cascades of failures among banks linked through an interdependent network. The interaction among banks includes not only direct cross-holding, but also indirect dependency by holding mutual assets outside the banking system. Using data extracted from the European Banking Authority, we present the interdependency network composed of 48 banks and 21 asset classes. Since interbank exposures are not public, we first reconstruct the asset/liability cross-holding network using the aggregated claims. For the robustness, we employ 3 reconstruction methods, called "Anan, Hal‚a and Maxe". Then, we combine the external portfolio holdings of each bank to compute the interdependency matrix. The interdependency network is much more dense than the direct cross-holding network, showing the complex latent interaction among banks. Finally, we perform macro-prudential stress tests for the Euro- pean banking system, using the adverse scenario in EBA stress test as the initial shock. For different reconstructed networks, we illustrate the hierarchical cascades and show that the failure hierarchies are roughly the same except for a few banks, reflecting the overlapping portfolio holding accounts for the majority of defaults. Understanding the interdependency network and the hierarchy of the cascades should help to improve policy intervention and implement rescue strategy.

Suggested Citation

  • William A. Barnett & Xue Wang & Hai-Chuan Xu & Wei-Xing Zhou, 2021. "Hierarchical contagions in the interdependent financial network," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202113, University of Kansas, Department of Economics, revised Jun 2021.
  • Handle: RePEc:kan:wpaper:202113
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    Cited by:

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    2. Nevermann, Daniel & Heckmann, Lotta, 2023. "Effects of mergers on network models of the financial system," Discussion Papers 29/2023, Deutsche Bundesbank.
    3. Tao, Chen & Zhong, Guang-Yan & Li, Jiang-Cheng, 2023. "Dynamic correlation and risk resonance among industries of Chinese stock market: New evidence from time–frequency domain and complex network perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 614(C).
    4. Nevermann, Daniel & Heckmann-Draisbach, Lotta, 2023. "Effects of mergers on network models of the financial system," International Review of Financial Analysis, Elsevier, vol. 90(C).
    5. Feinstein, Zachary & Hałaj, Grzegorz, 2023. "Interbank asset-liability networks with fire sale management," Working Paper Series 2806, European Central Bank.

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    More about this item

    Keywords

    financial network; interdependent network; contagions; stress test; macro-prudential.;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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