IDEAS home Printed from https://ideas.repec.org/p/bcb/wpaper/566.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.bcb.gov.br/content/publicacoes/WorkingPaperSeries/wps566.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luiz G. A. Alves & Giuseppe Mangioni & Isabella Cingolani & Francisco A. Rodrigues & Pietro Panzarasa & Yamir Moreno, 2018. "The nested structural organization of the worldwide trade multi-layer network," Papers 1803.02872, arXiv.org, revised Sep 2019.
    2. Zhuo-Ming Ren & An Zeng & Yi-Cheng Zhang, 2020. "Bridging nestedness and economic complexity in multilayer world trade networks," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-8, December.
    3. Michel Alexandre & Thiago Christiano Silva & Colm Connaughton & Francisco A. Rodrigues, 2021. "The Role of (non-)Topological Features as Drivers of Systemic Risk: a machine learning approach," Working Papers Series 556, Central Bank of Brazil, Research Department.
    4. 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).
    5. 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).
    6. repec:cep:stitep:/2013/564 is not listed on IDEAS
    7. Olaizola, By Norma & Valenciano, Federico, 2021. "Efficiency and stability in the connections model with heterogeneous nodes," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 490-503.
    8. Colton Brehm & Astrid Layton, 2021. "Nestedness of eco‐industrial networks: Exploring linkage distribution to promote sustainable industrial growth," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 205-218, February.
    9. Angelica Sbardella & Andrea Zaccaria & Luciano Pietronero & Pasquale Scaramozzino, 2021. "Behind the Italian Regional Divide: An Economic Fitness and Complexity Perspective," LEM Papers Series 2021/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Antonios Garas & Celine Rozenblat & Frank Schweitzer, 2015. "The network structure of city-firm relations," Papers 1512.02859, arXiv.org.
    11. Roncoroni, Alan & Battiston, Stefano & Escobar-Farfán, Luis O.L. & Martinez-Jaramillo, Serafin, 2021. "Climate risk and financial stability in the network of banks and investment funds," Journal of Financial Stability, Elsevier, vol. 54(C).
    12. in 't Veld, Daan & van der Leij, Marco & Hommes, Cars, 2020. "The formation of a core-periphery structure in heterogeneous financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    13. Souza, Sergio Rubens Stancato de & Silva, Thiago Christiano & Almeida, Carlos Eduardo de, 2019. "Bailing in Banks: costs and benefits," Journal of Financial Stability, Elsevier, vol. 45(C).
    14. Giulia Masi & Giorgio Ricchiuti, 2020. "From FDI network topology to macroeconomic instability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 133-158, January.
    15. 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.
    16. Deev, Oleg & Lyócsa, Štefan, 2020. "Connectedness of financial institutions in Europe: A network approach across quantiles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    17. Victor Boussange & Didier Sornette & Heike Lischke & Loic Pellissier, 2023. "Processes analogous to ecological interactions and dispersal shape the dynamics of economic activities," Papers 2301.09486, arXiv.org.
    18. Poledna, Sebastian & Martínez-Jaramillo, Serafín & Caccioli, Fabio & Thurner, Stefan, 2021. "Quantification of systemic risk from overlapping portfolios in the financial system," Journal of Financial Stability, Elsevier, vol. 52(C).
    19. Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian & Wei, Lu, 2017. "Expected default based score for identifying systemically important banks," Economic Modelling, Elsevier, vol. 64(C), pages 589-600.
    20. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    21. 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.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcb:wpaper:566. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rodrigo Barbone Gonzalez (email available below). General contact details of provider: https://www.bcb.gov.br/en .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.