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DebtRank Analysis of the Japanese Credit Network

Author

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  • AOYAMA Hideaki
  • Stefano BATTISTON
  • FUJIWARA Yoshi

Abstract

We present an analysis of the lending/borrowing relationship between Japanese banks and Japanese firms, which form a bipartite credit network. We introduce distress to some initial node(s) (banks or firms) and allow it to propagate and contaminate other nodes in this network according to the relative exposure. First, by choosing the initial node to be a bank and taking the weighted average of the resulting distress distribution, with the weight proportional to the size (total assets) of each node, we identify the bank's importance to the whole network at the time of crisis. This leads to a nonlinear relationship between the importance and the size of the bank, which implies that mergers with the same-sized partner would result the most in the increase in importance. Second, by introducing the initial distress to firms in certain industrial sector(s), we evaluate the vulnerability of banks and firms in other sectors due to the distress in the initial sectors.

Suggested Citation

  • AOYAMA Hideaki & Stefano BATTISTON & FUJIWARA Yoshi, 2013. "DebtRank Analysis of the Japanese Credit Network," Discussion papers 13087, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:13087
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    File URL: https://www.rieti.go.jp/jp/publications/dp/13e087.pdf
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    References listed on IDEAS

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    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. 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).
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    Cited by:

    1. Li, Shouwei & Liu, Yifu & Wu, Chaoqun, 2020. "Systemic risk in bank-firm multiplex networks," Finance Research Letters, Elsevier, vol. 33(C).
    2. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    3. Silva, Thiago Christiano & Souza, Sergio Rubens Stancato & Tabak, Benjamin Miranda, 2017. "Monitoring vulnerability and impact diffusion in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 109-135.
    4. Landaberry, Victoria & Caccioli, Fabio & Rodriguez-Martinez, Anahi & Baron, Andrea & Martinez-Jaramillo, Serafin & Lluberas, Rodrigo, 2021. "The contribution of the intra-firm exposures network to systemic risk," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    5. Silva, Thiago Christiano & Alexandre, Michel da Silva & Tabak, Benjamin Miranda, 2018. "Bank lending and systemic risk: A financial-real sector network approach with feedback," Journal of Financial Stability, Elsevier, vol. 38(C), pages 98-118.
    6. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Guerra, Solange Maria, 2017. "Why do vulnerability cycles matter in financial networks?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 592-606.
    7. FUJIWARA Yoshi & TERAI Masaaki & FUJITA Yuji & SOUMA Wataru, 2016. "DebtRank Analysis of Financial Distress Propagation on a Production Network in Japan," Discussion papers 16046, Research Institute of Economy, Trade and Industry (RIETI).
    8. Thiago Christiano Silva & Michel Alexandre da Silva & Benjamin Miranda Tabak, 2016. "Modeling Financial Networks: a feedback approach," Working Papers Series 438, Central Bank of Brazil, Research Department.
    9. Poledna, Sebastian & Bochmann, Olaf & Thurner, Stefan, 2017. "Basel III capital surcharges for G-SIBs are far less effective in managing systemic risk in comparison to network-based, systemic risk-dependent financial transaction taxes," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 230-246.
    10. Barón, Andrea & Landaberry, María Victoria & Lluberas, Rodrigo & Ponce, Jorge, 2021. "Commercial and banking credit network in Uruguay," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
    11. Yanquen, Eduardo & Livan, Giacomo & Montañez-Enriquez, Ricardo & Martinez-Jaramillo, Serafin, 2022. "Measuring systemic risk for bank credit networks: A multilayer approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(2).

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