IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwedp/7480.html
   My bibliography  Save this paper

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

Author

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

Abstract

Credit relationships between commercial banks and quoted firms are studied for the structure and its temporal change from the year 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 to define a set of scores of banks and firms, which can be calculated by solving an eigenvalue problem determined 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

  • Fujiwara, Yoshi & Aoyama, Hideaki & Ikeda, Yuichi & Iyetomi, Hiroshi & Souma, Wataru, 2009. "Structure and Temporal Change of Credit Network between Banks and Large Firms in Japan," Economics Discussion Papers 2009-1, Kiel Institute for the World Economy (IfW Kiel).
  • Handle: RePEc:zbw:ifwedp:7480
    as

    Download full text from publisher

    File URL: http://www.economics-ejournal.org/economics/discussionpapers/2009-1
    Download Restriction: no

    File URL: https://www.econstor.eu/bitstream/10419/27482/1/dp2009-1.pdf
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    4. 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.
    5. Iori, Giulia & De Masi, Giulia & Precup, Ovidiu Vasile & Gabbi, Giampaolo & Caldarelli, Guido, 2008. "A network analysis of the Italian overnight money market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 259-278, January.
    6. Elijah Brewer & Hesna Genay & George G. Kaufman, 2003. "Banking relationships during financial distress: the evidence from Japan," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 27(Q III), pages 2-18.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yoshi Fujiwara & Hideaki Aoyama & Yuichi Ikeda & Hiroshi Iyetomi & Wataru Souma, 2009. "Structure and temporal change of the credit network between banks and large firms in Japan," Papers 0901.2377, arXiv.org, revised May 2009.
    2. 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 (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-18.
    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. De Masi, G. & Giovannetti, G. & Ricchiuti, G., 2013. "Network analysis to detect common strategies in Italian foreign direct investment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1202-1214.
    5. G. De Masi & M. Gallegati, 2012. "Bank–firms topology in Italy," Empirical Economics, Springer, vol. 43(2), pages 851-866, October.
    6. 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.
    7. Hideaki Aoyama & Hiroshi Yoshikawa & Hiroshi Iyetomi & Yoshi Fujiwara, 2008. "Labour Productivity Superstatistics," Papers 0809.3541, arXiv.org.
    8. Fariba Karimi & Matthias Raddant, 2016. "Cascades in Real Interbank Markets," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 49-66, January.
    9. Kanno, Masayasu, 2020. "Interconnectedness and systemic risk in the US CDS market," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    10. R. Baupain & A. Durre, 2007. "The interday and intraday patterns of the overnight market : evidence from an electronic platform," Post-Print hal-00300195, HAL.
    11. Abhijit Chakraborty & Tobias Reisch & Christian Diem & Pablo Astudillo-Estévez & Stefan Thurner, 2024. "Inequality in economic shock exposures across the global firm-level supply network," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    12. 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.
    13. Jarko Fidrmuc & Philipp Schreiber & Martin Siddiqui, 2018. "Intangible Assets and the Determinants of a Single Bank Relation of German SMEs," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(1), pages 5-30.
    14. Kobayashi, Teruyoshi & Takaguchi, Taro, 2018. "Identifying relationship lending in the interbank market: A network approach," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 20-36.
    15. Olivier Accominotti & Delio Lucena‐Piquero & Stefano Ugolini, 2021. "The origination and distribution of money market instruments: sterling bills of exchange during the first globalization," Economic History Review, Economic History Society, vol. 74(4), pages 892-921, November.
    16. Hussain, Inayat & Durand, Robert B. & Harris, Mark N., 2021. "Relationship lending: A source of support or a means of exploitation?," Global Finance Journal, Elsevier, vol. 48(C).
    17. Bellucci, Andrea & Borisov, Alexander & Zazzaro, Alberto, 2013. "Do banks price discriminate spatially? Evidence from small business lending in local credit markets," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4183-4197.
    18. Sofia Priazhkina & Samuel Palmer & Pablo Martín-Ramiro & Román Orús & Samuel Mugel & Vladimir Skavysh, 2024. "Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm," Staff Working Papers 24-17, Bank of Canada.
    19. Iori, Giulia & Renò, Roberto & De Masi, Giulia & Caldarelli, Guido, 2007. "Trading strategies in the Italian interbank market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 467-479.
    20. Miyakoshi, Tatsuyoshi & Shimada, Junji & Li, Kui-Wai, 2023. "A network analysis on country and financial center attractiveness: Evidence from Asian economies, 2001–2018," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 418-432.

    More about this item

    Keywords

    Banks-firms credit; credit topology; Bipartite network;
    All these keywords.

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:ifwedp:7480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.