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Backbone of credit relationships in the Japanese credit market

Author

Listed:
  • Luca Marotta
  • Salvatore Miccich`e
  • Yoshi Fujiwara
  • Hiroshi Iyetomi
  • Hideaki Aoyama
  • Mauro Gallegati
  • Rosario N. Mantegna
Abstract
We detect the backbone of the weighted bipartite network of the Japanese credit market relationships. The backbone is detected by adapting a general method used in the investigation of weighted networks. With this approach we detect a backbone that is statistically validated against a null hypothesis of uniform diversification of loans for banks and firms. Our investigation is done year by year and it covers more than thirty years during the period from 1980 to 2011. We relate some of our findings with economic events that have characterized the Japanese credit market during the last years. The study of the time evolution of the backbone allows us to detect changes occurred in network size, fraction of credit explained, and attributes characterizing the banks and the firms present in the backbone.

Suggested Citation

  • Luca Marotta & Salvatore Miccich`e & Yoshi Fujiwara & Hiroshi Iyetomi & Hideaki Aoyama & Mauro Gallegati & Rosario N. Mantegna, 2015. "Backbone of credit relationships in the Japanese credit market," Papers 1511.06870, arXiv.org.
    • Handle: RePEc:arx:papers:1511.06870
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    File URL: http://arxiv.org/pdf/1511.06870
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    References listed on IDEAS

    as
    1. Luca Marotta & Salvatore Miccichè & Yoshi Fujiwara & Hiroshi Iyetomi & Hideaki Aoyama & Mauro Gallegati & Rosario N Mantegna, 2015. "Bank-Firm Credit Network in Japan: An Analysis of a Bipartite Network," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    2. 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.
    3. 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).
    4. S. Battiston & M. Catanzaro, 2004. "Statistical properties of corporate board and director networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 345-352, March.
    5. Iori, Giulia & Mantegna, Rosario N. & Marotta, Luca & Miccichè, Salvatore & Porter, James & Tumminello, Michele, 2015. "Networked relationships in the e-MID interbank market: A trading model with memory," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 98-116.
    6. Mr. David Woo & Mr. Akihiro Kanaya, 2000. "The Japanese Banking Crisis of the 1990's: Sources and Lessons," IMF Working Papers 2000/007, International Monetary Fund.
    7. Michele Tumminello & Salvatore Miccichè & Fabrizio Lillo & Jyrki Piilo & Rosario N Mantegna, 2011. "Statistically Validated Networks in Bipartite Complex Systems," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-11, March.
    8. 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.
    9. 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.
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    Cited by:

    1. Thomas Lux, 2020. "On the distribution of links in financial networks: structural heterogeneity and functional form," Empirical Economics, Springer, vol. 58(3), pages 1019-1053, March.
    2. Lux, Thomas, 2017. "On the distribution of links in financial networks: Structural heterogeneity and functional form," Economics Working Papers 2017-05, Christian-Albrechts-University of Kiel, Department of Economics.

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