IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v137y2017icp259-281.html
   My bibliography  Save this article

Measuring the systemic risk in interfirm transaction networks

Author

Listed:
  • Hazama, Makoto
  • Uesugi, Iichiro

Abstract

Using a unique and massive dataset that contains information on interfirm transaction relationships, this study examines default propagation in trade credit networks and provides direct and systematic evidence of the existence and relevance of such default propagation. Not only do we implement simulations in order to detect prospective defaulters, we also estimate the probabilities of actual firm bankruptcies and compare the predicted defaults and actual defaults. We find, first, that an economically sizable number of firms are predicted to fail when their customers default on their trade debt. Second, these prospective defaulters are indeed more likely to go bankrupt than other firms. Third, firms that have abundant external sources of financing or whose transaction partners have such abundant sources are less likely to go bankrupt even when they are predicted to default. This provides evidence for the existence and relevance of firms – called “deep pockets” by Kiyotaki and Moore (1997) – that can act as shock absorbers.

Suggested Citation

  • Hazama, Makoto & Uesugi, Iichiro, 2017. "Measuring the systemic risk in interfirm transaction networks," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 259-281.
  • Handle: RePEc:eee:jeborg:v:137:y:2017:i:c:p:259-281
    DOI: 10.1016/j.jebo.2017.02.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268117300410
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kentaro Nakajima & Yukiko Saito & Iichiro Uesugi, 2012. "The Localization of Interfirm Transaction Relationships," ERSA conference papers ersa12p503, European Regional Science Association.
    2. NAKAJIMA Kentaro & SAITO Yukiko Umeno & UESUGI Iichiro, 2012. "Localization of Interfirm Transaction Relationships and Industry Agglomeration," Discussion papers 12023, Research Institute of Economy, Trade and Industry (RIETI).
    3. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    4. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    5. Beck, Thorsten & Demirguc-Kunt, Asli & Laeven, Luc & Maksimovic, Vojislav, 2006. "The determinants of financing obstacles," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 932-952, October.
    6. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    7. Shea, John S, 2002. "Complementarities and Comovements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 412-433, May.
    8. Nakajima, Kentaro & Saito, Yukiko Umeno & Uesugi, Iichiro, 2012. "The Localization of Interfirm Transaction Relationships and Industry Agglomeration," Working Paper Series 17, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    9. Long, John B, Jr & Plosser, Charles I, 1983. "Real Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 91(1), pages 39-69, February.
    10. Larry Eisenberg & Thomas H. Noe, 2001. "Systemic Risk in Financial Systems," Management Science, INFORMS, vol. 47(2), pages 236-249, February.
    11. Nobuhiro Kiyotaki & John Moore, 1997. "Credit Chains," ESE Discussion Papers 118, Edinburgh School of Economics, University of Edinburgh.
    12. Tor Jacobson & Erik Schedvin, 2015. "Trade Credit and the Propagation of Corporate Failure: An Empirical Analysis," Econometrica, Econometric Society, vol. 83(4), pages 1315-1371, July.
    13. Boissay, Frédéric, 2006. "Credit chains and the propagation of financial distress," Working Paper Series 573, European Central Bank.
    14. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
    15. Frederic Boissay & Reint Gropp, 2013. "Payment Defaults and Interfirm Liquidity Provision," Review of Finance, European Finance Association, vol. 17(6), pages 1853-1894.
    16. Peter Thompson & Melanie Fox-Kean, 2005. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment: Reply," American Economic Review, American Economic Association, vol. 95(1), pages 465-466, March.
    17. Furfine, Craig H, 2003. " Interbank Exposures: Quantifying the Risk of Contagion," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(1), pages 111-128, February.
    18. Horvath, Michael, 2000. "Sectoral shocks and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 45(1), pages 69-106, February.
    19. Peter Thompson & Melanie Fox-Kean, 2005. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment," American Economic Review, American Economic Association, vol. 95(1), pages 450-460, March.
    20. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2007. "Credit chains and bankruptcy propagation in production networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2061-2084, June.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Interfirm networks; Trade credit; Default propagation;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

    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:eee:jeborg:v:137:y:2017:i:c:p:259-281. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.