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The formation of a core periphery structure in heterogeneous financial networks

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  • van der Leij, M.

    (University of Amsterdam)

  • in 't Veld, D.

    (University of Amsterdam)

  • Hommes, C.H.

    (University of Amsterdam)

Abstract

Recent empirical evidence suggests that financial networks exhibit a core-periphery network structure. This paper aims at giving an explanation for the emergence of such a structure using network formation theory. We propose a simple model of the overnight interbank lending market, in which banks compete for intermediation benfits. Focusing on the role of bank heterogeneity, we find that a core-periphery network cannot be unilaterally stable when banks are homogeneous. A core-periphery network structure can form endogenously, however, if we allow for heterogeneity among banks in size. Moreover, size heterogeneity may arise endogenously if payoffs feed back into bank size.

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  • van der Leij, M. & in 't Veld, D. & Hommes, C.H., 2016. "The formation of a core periphery structure in heterogeneous financial networks," CeNDEF Working Papers 16-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  • Handle: RePEc:ams:ndfwpp:16-07
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    Cited by:

    1. Mercado, Rogelio & Noviantie, Shanty, 2020. "Financial flows centrality: Empirical evidence using bilateral capital flows," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).
    2. Blasques, Francisco & Bräuning, Falk & Lelyveld, Iman van, 2018. "A dynamic network model of the unsecured interbank lending market," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 310-342.
    3. 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).
    4. Roukny, Tarik & Georg, Co-Pierre & Battiston, Stefano, 2014. "A network analysis of the evolution of the German interbank market," Discussion Papers 22/2014, Deutsche Bundesbank.
    5. Bedayo, Mikel & Mauleon, Ana & Vannetelbosch, Vincent, 2016. "Bargaining in endogenous trading networks," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 70-82.
    6. S. Gabrieli & C.-P. Georg, 2014. "A network view on interbank market freezes," Working papers 531, Banque de France.
    7. Olaizola, Norma & Valenciano, Federico, 2015. "Unilateral vs. bilateral link-formation: A transition without decay," Mathematical Social Sciences, Elsevier, vol. 74(C), pages 13-28.
    8. Yujing Wang & Fu Ren & Ruoxin Zhu & Qingyun Du, 2020. "An Exploratory Analysis of Networked and Spatial Characteristics of International Natural Resource Trades (2000–2016)," Sustainability, MDPI, Open Access Journal, vol. 12(18), pages 1-34, September.
    9. Hüser, Anne-Caroline, 2016. "Too interconnected to fail: A survey of the Interbank Networks literature," SAFE Working Paper Series 91, Leibniz Institute for Financial Research SAFE.
    10. Anthony Brassil & Gabriela Nodari, 2018. "A Density-based Estimator of Core/Periphery Network Structures: Analysing the Australian Interbank Market," RBA Research Discussion Papers rdp2018-01, Reserve Bank of Australia.
    11. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    12. Brassil, Anthony & Nodari, Gabriela, 2021. "A Density-Based estimator of core/periphery network structures," Journal of Banking & Finance, Elsevier, vol. 125(C).
    13. Bluhm, Marcel, 2018. "Persistent liquidity shocks and interbank funding," Journal of Financial Stability, Elsevier, vol. 36(C), pages 246-262.
    14. Souza, Sergio Rubens Stancato de, 2016. "Capital requirements, liquidity and financial stability: The case of Brazil," Journal of Financial Stability, Elsevier, vol. 25(C), pages 179-192.
    15. Olaizola Ortega, María Norma & Valenciano Llovera, Federico, 2014. "Unilateral vs. Bilateral link-formation: Bridging the gap," IKERLANAK Ikerlanak;2014-80, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
    16. Paul Glasserman & Peyton Young, 2015. "Contagion in Financial Networks," Economics Series Working Papers 764, University of Oxford, Department of Economics.
    17. Berlinger, Edina & Dömötör, Barbara & Daróczi, Gergely & Vadász, Tamás, 2017. "Pénzügyi hálózatok mag-periféria szerkezete. A magyar bankközi fedezetlen hitelek piaca, 2003-2012 [The core periphery structure of financial networks: investigating Hungary s interbank deposit mar," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1160-1185.
    18. Paul Glasserman & H. Peyton Young, 2015. "Contagion in Financial Markets," Working Papers 15-21, Office of Financial Research, US Department of the Treasury.

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    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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