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Network models of financial systemic risk: a review

Author

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  • Fabio Caccioli

    (University College London
    London School of Economics and Political Science
    London Mathematical Laboratory)

  • Paolo Barucca

    (University of Zurich
    London Institute for Mathematical Sciences)

  • Teruyoshi Kobayashi

    () (Kobe University)

Abstract

The global financial system can be represented as a large complex network in which banks, hedge funds and other financial institutions are interconnected to each other through visible and invisible financial linkages. Recently, a lot of attention has been paid to the understanding of the mechanisms that can lead to a breakdown of this network. This can happen when the existing financial links turn from being a means of risk diversification to channels for the propagation of risk across financial institutions. In this review article, we summarize recent developments in the modeling of financial systemic risk. We focus, in particular, on network approaches, such as models of default cascades due to bilateral exposures or to overlapping portfolios, and we also report on recent findings on the empirical structure of interbank networks. The current review provides a landscape of the newly arising interdisciplinary field lying at the intersection of several disciplines, such as network science, physics, engineering, economics, and ecology.

Suggested Citation

  • Fabio Caccioli & Paolo Barucca & Teruyoshi Kobayashi, 2018. "Network models of financial systemic risk: a review," Journal of Computational Social Science, Springer, vol. 1(1), pages 81-114, January.
  • Handle: RePEc:spr:jcsosc:v:1:y:2018:i:1:d:10.1007_s42001-017-0008-3
    DOI: 10.1007/s42001-017-0008-3
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    2. Jaime F. Lavin & Mauricio A. Valle & Nicolás S. Magner, 2019. "Modeling Overlapped Mutual Funds’ Portfolios: A Bipartite Network Approach," Complexity, Hindawi, vol. 2019, pages 1-20, July.
    3. Moshe Babaioff & Yoav Kolumbus & Eyal Winter, 2020. "Optimal Collaterals in Multi-Enterprise Investment Networks," Papers 2011.06247, arXiv.org.
    4. Yun, Tae-Sub & Jeong, Deokjong & Park, Sunyoung, 2019. "“Too central to fail” systemic risk measure using PageRank algorithm," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 251-272.
    5. Tomaso Aste, 2020. "Stress testing and systemic risk measures using multivariate conditional probability," Papers 2004.06420, arXiv.org, revised Aug 2020.
    6. Roy Cerqueti & Gian Paolo Clemente & Rosanna Grassi, 2018. "Systemic risk assessment through high order clustering coefficient," Papers 1810.13250, arXiv.org, revised Jul 2020.
    7. Marnix Van Soom & Milan Van Den Heuvel & Jan Ryckebusch & Koen Schoors, 2019. "Loan Maturity Aggregation In Interbank Lending Networks Obscures Mesoscale Structure And Economic Functions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/952, Ghent University, Faculty of Economics and Business Administration.
    8. Tamás Sebestyén & Dóra Longauer, 2018. "Network structure, equilibrium and dynamics in a monopolistically competitive economy," Netnomics, Springer, vol. 19(3), pages 131-157, December.
    9. Andrea Mazzocchetti & Eliana Lauretta & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2020. "Systemic financial risk indicators and securitised assets: an agent-based framework," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 9-47, January.
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    18. Carlos León & Javier Miguélez, 2020. "Securities cross-holding in the Colombian financial system: A topological approach," Borradores de Economia 1134, Banco de la Republica de Colombia.
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