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A Density-based Estimator of Core/Periphery Network Structures: Analysing the Australian Interbank Market

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  • Anthony Brassil

    (Reserve Bank of Australia)

  • Gabriela Nodari

    (Reserve Bank of Australia)

Abstract

The market for unsecured overnight interbank loans in Australia is a pivotal financial market; it is the first step in the transmission of monetary policy to the rest of the financial system and broader economy. Understanding the network of relationships between borrowers and lenders in this market, and how it changes during periods of stress, is crucial for understanding the resilience of the market. However, a difficulty with analysing this market is that existing methods of determining which banks are in the core of the network can be highly inaccurate when the network is either highly connected relative to the true proportion of banks in the core, or relatively sparsely connected (a novel finding). We derive a 'density-based' estimator of core/periphery network structures that is designed to overcome these inaccuracies. And we show that our estimator outperforms the commonly used estimators in numerical simulations. These results have broad applicability to the network analysis literature. We then use our density-based estimator to analyse the Australian overnight interbank market, focusing on the 2007–08 financial crisis. Our results suggest that the crisis had a large and long-lasting effect on this market. In particular, we find that the typical core size fell from eight to five banks during the crisis, because of large reductions in the number of lending relationships between some banks. Compared with the pre-crisis period, the remaining core lent much less to the periphery, while the periphery lent more to the core; these changes are consistent with models of precautionary liquidity demand.

Suggested Citation

  • 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.
  • Handle: RePEc:rba:rbardp:rdp2018-01
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    References listed on IDEAS

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    1. Wetherilt, Anne & Zimmerman, Peter & Soramaki, Kimmo, 2010. "The sterling unsecured loan market during 2006-08: insights from network theory," Bank of England working papers 398, Bank of England.
    2. Eduardo Tellez, 2013. "Mapping the Australian Banking System Network," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 45-54, June.
    3. Karl Finger & Daniel Fricke & Thomas Lux, 2013. "Network analysis of the e-MID overnight money market: the informational value of different aggregation levels for intrinsic dynamic processes," Computational Management Science, Springer, vol. 10(2), pages 187-211, June.
    4. Anthony Brassil & Helen Hughson & Mark McManus, 2016. "Identifying Interbank Loans from Payments Data," RBA Research Discussion Papers rdp2016-11, Reserve Bank of Australia.
    5. Copic Jernej & Jackson Matthew O. & Kirman Alan, 2009. "Identifying Community Structures from Network Data via Maximum Likelihood Methods," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 9(1), pages 1-40, September.
    6. Bech, Morten L. & Atalay, Enghin, 2010. "The topology of the federal funds market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(22), pages 5223-5246.
    7. Xavier Freixas & Jos… Jorge, 2008. "The Role of Interbank Markets in Monetary Policy: A Model with Rationing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1151-1176, September.
    8. 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).
    9. Adam Ashcraft & James Mcandrews & David Skeie, 2011. "Precautionary Reserves and the Interbank Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(s2), pages 311-348, October.
    10. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    11. 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.
    12. in ’t Veld, Daan & van Lelyveld, Iman, 2014. "Finding the core: Network structure in interbank markets," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 27-40.
    13. James Chapman & Yinan Zhang, 2010. "Estimating the Structure of the Payment Network in the LVTS: An Application of Estimating Communities in Network Data," Staff Working Papers 10-13, Bank of Canada.
    14. Anufriev, Mikhail & Panchenko, Valentyn, 2015. "Connecting the dots: Econometric methods for uncovering networks with an application to the Australian financial institutions," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 241-255.
    15. Fricke, Daniel & Lux, Thomas, 2012. "Core-periphery structure in the overnight money market: Evidence from the e-MID trading platform," Kiel Working Papers 1759, Kiel Institute for the World Economy (IfW Kiel).
    16. Viral V. Acharya & Denis Gromb & Tanju Yorulmazer, 2012. "Imperfect Competition in the Interbank Market for Liquidity as a Rationale for Central Banking," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(2), pages 184-217, April.
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    Cited by:

    1. Nicholas Garvin, 2018. "Identifying Repo Market Microstructure from Securities Transactions Data," RBA Research Discussion Papers rdp2018-09, Reserve Bank of Australia.

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    More about this item

    Keywords

    network; core/periphery; interbank;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • 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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