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Reconstruction of Interbank Network using Ridge Entropy Maximization Model

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  • Yuichi Ikeda
  • Hidetoshi Takeda

Abstract

We develop a network reconstruction model based on entropy maximization considering the sparsity of networks. We reconstruct the interbank network in Japan from financial data in individual banks' balance sheets using the developed reconstruction model from 2000 to 2016. The observed sparsity of the interbank network is successfully reproduced. We examine the characteristics of the reconstructed interbank network by calculating important network attributes. We obtain the following characteristics, which are consistent with the previously known stylized facts. Although we do not introduce the mechanism to generate the core and peripheral structure, we impose the constraints to consider the sparsity that is no transactions within the same bank category except for major commercial banks, the core and peripheral structure has spontaneously emerged. We identify major nodes in each community using the value of PageRank and degree to examine the changing role of each bank category. The observed changing role of banks is considered a result of the quantitative and qualitative monetary easing policy started by the Bank of Japan in April 2013.

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  • Yuichi Ikeda & Hidetoshi Takeda, 2020. "Reconstruction of Interbank Network using Ridge Entropy Maximization Model," Papers 2001.04097, arXiv.org, revised Jul 2021.
    • Handle: RePEc:arx:papers:2001.04097
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    References listed on IDEAS

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    1. Yuichi Ikeda & Hiroshi Iyetomi, 2018. "Trade Network Reconstruction and Simulation with Changes in Trade Policy," Papers 1806.00605, arXiv.org.
    2. Eric Monnet & Miklos Vari, 2019. "Liquidity Ratios as Monetary Policy Tools: Some Historical Lessons for Macroprudential Policy," IMF Working Papers 2019/176, International Monetary Fund.
    3. Bergstrand, Jeffrey H, 1985. "The Gravity Equation in International Trade: Some Microeconomic Foundations and Empirical Evidence," The Review of Economics and Statistics, MIT Press, vol. 67(3), pages 474-481, August.
    4. Yuichi Ikeda & Tsutomu Watanabe, 2016. "Who buys what, where: Reconstruction of the international trade flows by commodity and industry," UTokyo Price Project Working Paper Series 071, University of Tokyo, Graduate School of Economics.
    5. Marco Dueñas & Giorgio Fagiolo, 2013. "Modeling the International-Trade Network: a gravity approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 155-178, April.
    6. Simon Wells, 2004. "Financial interlinkages in the United Kingdom's interbank market and the risk of contagion," Bank of England working papers 230, Bank of England.
    7. Upper, Christian, 2011. "Simulation methods to assess the danger of contagion in interbank markets," Journal of Financial Stability, Elsevier, vol. 7(3), pages 111-125, August.
    8. Giulio Cimini & Tiziano Squartini & Diego Garlaschelli & Andrea Gabrielli, 2014. "Systemic risk analysis in reconstructed economic and financial networks," Papers 1411.7613, arXiv.org, revised May 2015.
    9. Yuichi Ikeda & Tsutomu Watanabe, 2016. "Who buys what, where: Reconstruction of the international trade flows by commodity and industry," CARF F-Series CARF-F-393, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
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