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A flow network analysis of direct balance-sheet contagion in financial networks

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  • Eboli, Mario

Abstract

This paper puts forward a novel approach to the analysis of direct contagion in financial networks. Financial systems are here represented as flow networks -i.e., directed and weighted graphs endowed with source nodes and sink nodes - and the propagation of losses and defaults, originated by an exogenous shock, is here represented as a flow that crosses such a network. In establishing existence and uniqueness of such a flow function, we address a know problem of indeterminacy that arise, in financial networks, from the intercyclicity of payments. Sufficient and necessary conditions for uniqueness are pinned down. We embed this result in an algorithm that, while computing the propagation caused by a shock, controls for the emergence of possible indeterminacies. We then apply some properties of network flows to investigate the relation between the structures of a financial network-i.e. the size and the pattern of obligations - and its exposure to default contagion.

Suggested Citation

  • Eboli, Mario, 2013. "A flow network analysis of direct balance-sheet contagion in financial networks," Kiel Working Papers 1862, Kiel Institute for the World Economy.
  • Handle: RePEc:zbw:ifwkwp:1862
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    2. Tinic, Murat & Sensoy, Ahmet & Demir, Muge & Nguyen, Duc Khuong, 2020. "Broker Network Connectivity and the Cross-Section of Expected Stock Returns," MPRA Paper 104719, University Library of Munich, Germany.
    3. Caiazzo, Emmanuel & Zazzaro, Alberto, 2025. "Bank diversity and financial contagion," Journal of Financial Stability, Elsevier, vol. 77(C).
    4. Selman Erol & Rakesh Vohra, 2014. "Network Formation and Systemic Risk, Second Version," PIER Working Paper Archive 15-001, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Dec 2014.
    5. Bulent Ozel & Mario Eboli & Andrea Toto & Andrea Teglio, 2018. "Robust-yet-fragile: A simulation model on exposure and concentration at interbank networks," Working Papers 2018/15, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Chen, Yehning, 2022. "Bank interconnectedness and financial stability: The role of bank capital," Journal of Financial Stability, Elsevier, vol. 61(C).
    7. Eboli, Mario, 2025. "Systemic risk in centralised interbank networks," Journal of Financial Stability, Elsevier, vol. 81(C).
    8. Shi, Qing & Sun, Xiaoqi & Jiang, Yile, 2022. "Concentrated commonalities and systemic risk in China's banking system: A contagion network approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    9. Lei, Jingyue & Shen, Peilong & Li, Zhinan, 2025. "Multilayer bank-firm networks and financial risk contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 675(C).
    10. Maria Rosa Borges & Lauriano Ulica & Mariya Gubareva, 2020. "Systemic risk in the Angolan interbank payment system – a network approach," Applied Economics, Taylor & Francis Journals, vol. 52(45), pages 4900-4912, September.
    11. Côme Billard, 2020. "Technology Contagion in Networks," Working Papers 2020.01, FAERE - French Association of Environmental and Resource Economists.
    12. Selman Erol & Rakesh Vohra, 2014. "Network Formation and Systemic Risk," PIER Working Paper Archive 14-029, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    13. Jiajia, Liu & Kun, Guo & Fangcheng, Tang & Yahan, Wang & Shouyang, Wang, 2023. "The effect of the disposal of non-performing loans on interbank liquidity risk in China: A cash flow network-based analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 105-119.
    14. Barnett, William A. & Wang, Xue & Xu, Hai-Chuan & Zhou, Wei-Xing, 2022. "Hierarchical contagions in the interdependent financial network," Journal of Financial Stability, Elsevier, vol. 61(C).
    15. Fang, Lei & Cheng, Jiang & Su, Fang, 2019. "Interconnectedness and systemic risk: A comparative study based on systemically important regions," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 147-158.
    16. Isaac M. Sonin & Konstantin Sonin, 2020. "A Continuous-Time Model of Financial Clearing," Working Papers 2020-101, Becker Friedman Institute for Research In Economics.
    17. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    18. Erol, Selman & Vohra, Rakesh, 2022. "Network formation and systemic risk," European Economic Review, Elsevier, vol. 148(C).
    19. Eboli, Mario, 2019. "A flow network analysis of direct balance-sheet contagion in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 205-233.
    20. Lv, Jiamin & Ben, Shenglin & Huang, Wenli & Xu, Yueling, 2023. "How to reduce the default contagion risk of intercorporate credit guarantee networks? Evidence from China," Emerging Markets Review, Elsevier, vol. 55(C).
    21. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    22. Mario Eboli & Bulent Ozel & Andrea Teglio & Andrea Toto, 2023. "Connectivity, centralisation and ‘robustness-yet-fragility’ of interbank networks," Annals of Finance, Springer, vol. 19(2), pages 169-200, June.
    23. Li, Wenwei & Hommel, Ulrich & Paterlini, Sandra, 2018. "Network topology and systemic risk: Evidence from the Euro Stoxx market," Finance Research Letters, Elsevier, vol. 27(C), pages 105-112.
    24. Deborah Noguera & Gabriel Montes-Rojas, 2022. "Credit-constrained fluctuations and uncertainty in a network economy," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, vol. 1(80), pages 5-52, November.

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G01 - Financial Economics - - General - - - Financial Crises
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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