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Bank–firms topology in Italy

Author

Listed:
  • G. De Masi
  • M. Gallegati
Abstract
An empirical analysis of the Italian system of banks and firms is carried out using the network theory. The emerging architecture of this economic network shows peculiar behaviors: (i) Multiple lending is very widespread; (ii) Small firms are preferentially financed by small banks; (iii) Large firms are financed by many banks; (iv) the ratio between loans and deposits is much higher for large banks than for small banks, while (v) strong size heterogeneity appears among co-financing banks, and (vi) the spanning-tree is very hierarchical. Copyright Springer-Verlag 2012

Suggested Citation

  • G. De Masi & M. Gallegati, 2012. "Bank–firms topology in Italy," Empirical Economics, Springer, vol. 43(2), pages 851-866, October.
  • Handle: RePEc:spr:empeco:v:43:y:2012:i:2:p:851-866
    DOI: 10.1007/s00181-011-0512-x
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    References listed on IDEAS

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    Cited by:

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    2. Thiago Christiano Silva & Marcos Soares da Silva & Benjamin Miranda Tabak, 2015. "Liquidity Performance Evaluation of the Brazilian Interbank Market using a Network-Based Approach," Working Papers Series 401, Central Bank of Brazil, Research Department.
    3. Accominotti, Olivier & Lucena-Piquero, Delio & Ugolini, Stefano, 2023. "Intermediaries’ substitutability and financial network resilience: A hyperstructure approach," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
    4. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    5. Solange Maria Guerra & Benjamin Miranda Tabak & Rodrigo Cesar de Castro Miranda, 2014. "Do Interconnections Matter for Bank Efficiency?," Working Papers Series 374, Central Bank of Brazil, Research Department.
    6. Ramadiah, Amanah & Caccioli, Fabio & Fricke, Daniel, 2020. "Reconstructing and stress testing credit networks," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    7. Li, Bing & Li, Changhong & Wang, Li, 2019. "Does the shareholding network affect bank's risk-taking behavior? An exploratory study on Chinese commercial banks," Finance Research Letters, Elsevier, vol. 31(C).
    8. Daniel Fricke & Thomas Lux, 2015. "On the distribution of links in the interbank network: evidence from the e-MID overnight money market," Empirical Economics, Springer, vol. 49(4), pages 1463-1495, December.
    9. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    10. Sebastian Poledna & Abraham Hinteregger & Stefan Thurner, 2018. "Identifying systemically important companies in the entire liability network of a small open economy," Papers 1801.10487, arXiv.org.
    11. Lux, Thomas, 2017. "On the distribution of links in financial networks: Structural heterogeneity and functional form," Economics Working Papers 2017-05, Christian-Albrechts-University of Kiel, Department of Economics.
    12. Lux, Thomas, 2014. "A model of the topology of the bank-firm credit network and its role as channel of contagion," Kiel Working Papers 1950, Kiel Institute for the World Economy (IfW Kiel).
    13. Duc Thi Luu, 2022. "Portfolio Correlations in the Bank-Firm Credit Market of Japan," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 529-569, August.
    14. Kanno, Masayasu, 2020. "Credit rating migration risk and interconnectedness in a corporate lending network," Research in International Business and Finance, Elsevier, vol. 54(C).
    15. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2023. "The financial network channel of monetary policy transmission: an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 533-571, July.
    16. Diaz de la Fuente Manuel, 2023. "Análisis de la Topología de las relaciones entre Bancos y Firmas mediante Redes Complejas: comparación del caso de Argentina e Italia," Asociación Argentina de Economía Política: Working Papers 4647, Asociación Argentina de Economía Política.
    17. Michel Alexandre & Thiago Christiano Silva & Francisco Aparecido Rodrigues, 2024. "Critical Edges in Financial Networks," Working Papers Series 594, Central Bank of Brazil, Research Department.
    18. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    19. Masayasu Kanno, 2018. "Bank–insurer–firm tripartite interconnectedness of credit risk exposures in a cross-shareholding network," Risk Management, Palgrave Macmillan, vol. 20(4), pages 273-303, November.
    20. de Carvalho, Pablo Jose Campos & Gupta, Aparna, 2018. "A network approach to unravel asset price comovement using minimal dependence structure," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 119-132.
    21. 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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