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Nestedness in the Brazilian Financial System

Author

Listed:
  • Michel Alexandre
  • Felipe Jordão Xavier
  • Thiago Christiano Silva
  • Francisco A. Rodrigues

Abstract

In this paper, we assess the nestedness in the Brazilian financial system. We rely on data from two Brazilian financial networks: the bank-firm credit network and the interbank network. We computed the nestedness of the networks, as well as the Individual Nestedness Contribution (INC) for each node. The analysis of the determinants of the INC shows lenders – in both networks – have their INC mainly determined by the degree, while the INC of borrowers has not a clear main determinant. Moreover, we found nodes with a higher INC would cause more damage to the network if they were hit by a shock, but are not necessarily those more vulnerable to shocks on the network.

Suggested Citation

  • Michel Alexandre & Felipe Jordão Xavier & Thiago Christiano Silva & Francisco A. Rodrigues, 2022. "Nestedness in the Brazilian Financial System," Working Papers Series 566, Central Bank of Brazil, Research Department.
    • Handle: RePEc:bcb:wpaper:566
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    References listed on IDEAS

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    1. Alexandre, Michel & Silva, Thiago Christiano & Connaughton, Colm & Rodrigues, Francisco A., 2021. "The drivers of systemic risk in financial networks: a data-driven machine learning analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    2. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2015. "DebtRank: A Microscopic Foundation for Shock Propagation," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    3. , D. & Tessone, Claudio J. & ,, 2014. "Nestedness in networks: A theoretical model and some applications," Theoretical Economics, Econometric Society, vol. 9(3), September.
    4. Manuel Sebastian Mariani & Zhuo-Ming Ren & Jordi Bascompte & Claudio Juan Tessone, 2019. "Nestedness in complex networks: Observation, emergence, and implications," Papers 1905.07593, arXiv.org.
    5. Martinez-Jaramillo, Serafin & Alexandrova-Kabadjova, Biliana & Bravo-Benitez, Bernardo & Solórzano-Margain, Juan Pablo, 2014. "An empirical study of the Mexican banking system’s network and its implications for systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 242-265.
    6. Serguei Saavedra & Daniel B. Stouffer & Brian Uzzi & Jordi Bascompte, 2011. "Strong contributors to network persistence are the most vulnerable to extinction," Nature, Nature, vol. 478(7368), pages 233-235, October.
    7. Sebastián Bustos & Charles Gomez & Ricardo Hausmann & César A Hidalgo, 2012. "The Dynamics of Nestedness Predicts the Evolution of Industrial Ecosystems," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    8. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    9. Kuzubaş, Tolga Umut & Ömercikoğlu, Inci & Saltoğlu, Burak, 2014. "Network centrality measures and systemic risk: An application to the Turkish financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 203-215.
    10. Serguei Saavedra & Felix Reed-Tsochas & Brian Uzzi, 2009. "A simple model of bipartite cooperation for ecological and organizational networks," Nature, Nature, vol. 457(7228), pages 463-466, January.
    11. Samuel Jonhson & Virginia Domínguez-García & Miguel A Muñoz, 2013. "Factors Determining Nestedness in Complex Networks," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-7, September.
    12. Phillip P. A. Staniczenko & Jason C. Kopp & Stefano Allesina, 2013. "The ghost of nestedness in ecological networks," Nature Communications, Nature, vol. 4(1), pages 1-6, June.
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