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Structure and Temporal Change of the Credit Network between Banks and Large Firms in Japan

Author

Listed:
  • Iyetomi, Hiroshi
  • Ikeda, Yuichi
  • Aoyama, Hideaki
  • Fujiwara, Yoshi
  • Souma, Wataru

Abstract

We present a new approach to understanding credit relationships between commercial banks and quoted firms, and with this approach, examine the temporal change in the structure of the Japanese credit network from 1980 to 2005. At each year, the credit network is regarded as a weighted bipartite graph where edges correspond to the relationships and weights refer to the amounts of loans. Reduction in the supply of credit affects firms as debtor, and failure of a firm influences banks as creditor. To quantify the dependency and influence between banks and firms, we propose a set of scores of banks and firms, which can be calculated by solving an eigenvalue problem determined by the weight of the credit network. We found that a few largest eigenvalues and corresponding eigenvectors are significant by using a null hypothesis of random bipartite graphs, and that the scores can quantitatively describe the stability or fragility of the credit network during the 25 years.

Suggested Citation

  • Iyetomi, Hiroshi & Ikeda, Yuichi & Aoyama, Hideaki & Fujiwara, Yoshi & Souma, Wataru, 2009. "Structure and Temporal Change of the Credit Network between Banks and Large Firms in Japan," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 3, pages 1-18.
  • Handle: RePEc:zbw:ifweej:7551
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    File URL: http://dx.doi.org/10.5018/economics-ejournal.ja.2009-7
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    File URL: https://www.econstor.eu/bitstream/10419/27527/1/economics_2009-7.pdf
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    References listed on IDEAS

    as
    1. Masanao Aoki, "undated". "Reconstructing Macroeconomics: A Perspective from Statistical Physics and Combinatorial Stochastic Processes," UCLA Economics Online Papers 390, UCLA Department of Economics.
    2. Ogawa, Kazuo & Sterken, Elmer & Tokutsu, Ichiro, 2007. "Why do Japanese firms prefer multiple bank relationship? Some evidence from firm-level data," Economic Systems, Elsevier, vol. 31(1), pages 49-70, March.
    3. G. De Masi & Y. Fujiwara & M. Gallegati & B. Greenwald & J. E. Stiglitz, 2009. "An Analysis of the Japanese Credit Network," Papers 0901.2384, arXiv.org, revised Nov 2010.
    4. Kano, Masaji & Uchida, Hirofumi & Udell, Gregory F. & Watanabe, Wako, 2011. "Information verifiability, bank organization, bank competition and bank-borrower relationships," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 935-954, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. 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.
    2. Spelta, Alessandro & Araújo, Tanya, 2012. "The topology of cross-border exposures: Beyond the minimal spanning tree approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5572-5583.
    3. Alessandro Spelta & Tanya Araújo, 2012. "Interlinkages and structural changes in cross-border liabilities: a network approach," Quaderni di Dipartimento 181, University of Pavia, Department of Economics and Quantitative Methods.
    4. He, Fang & Chen, Xi, 2016. "Credit networks and systemic risk of Chinese local financing platforms: Too central or too big to fail?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 158-170.
    5. Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 396-411, May.
    6. Araújo, Tanya & Spelta, Alessandro, 2014. "Structural changes in cross-border liabilities: A multidimensional approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 277-287.
    7. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
    8. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.

    More about this item

    Keywords

    Banking; credit topology; bipartite network; systemic risk;

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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