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Systemic Risk on Trade Credit Systems: with the Tangible Interconnectedness

Author

Listed:
  • Jisang Lee

    (Korea Advanced Institute of Science and Technology (KAIST) Bldg. N22)

  • Duk Hee Lee

    (Korea Advanced Institute of Science and Technology (KAIST) Bldg. N22)

  • Sung-Guan Yun

    (Payment and Settlement Systems Department)

Abstract

Using the unique data set of all the transactions with trade credit via 17 major banks in Korea during 2008–2012, we investigate the relationship between the network structure and the contagion of failures in the financial network. Due to the difference of terms between two types of trade credits in Korea, Account Receivable Financing and Supplier Loan, a non-trivial directed network of banks and firms can be formulated. With respect to this trade credit network (TCN), we propose a measure for systemic risk on liquidity channels by calculating the monthly potential risk of liquidity shortage in the worst-case scenarios and show some comparisons with the basic network characteristics. Results claim that the PageRank centralities of individual banks have significant positive impact on the level of systemic risk. More on, degrees of nodes in TCN follows power-law distributions and the network heterogeneity of given month also has significant positive impact on the risk level: that is, the high degree of imbalance in the liquidity channel implies the severe systemic shortage of the liquidity in the worst-case.

Suggested Citation

  • Jisang Lee & Duk Hee Lee & Sung-Guan Yun, 2018. "Systemic Risk on Trade Credit Systems: with the Tangible Interconnectedness," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 211-226, February.
    • Handle: RePEc:kap:compec:v:51:y:2018:i:2:d:10.1007_s10614-016-9632-x
    DOI: 10.1007/s10614-016-9632-x
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    References listed on IDEAS

    as
    1. Smith, Janet Kiholm, 1987. "Trade Credit and Informational Asymmetry," Journal of Finance, American Finance Association, vol. 42(4), pages 863-872, September.
    2. Kay Giesecke & Baeho Kim, 2011. "Systemic Risk: What Defaults Are Telling Us," Management Science, INFORMS, vol. 57(8), pages 1387-1405, August.
    3. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    4. Petersen, Mitchell A & Rajan, Raghuram G, 1997. "Trade Credit: Theories and Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 661-691.
    5. 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.
    6. Mike Burkart & Tore Ellingsen, 2004. "In-Kind Finance: A Theory of Trade Credit," American Economic Review, American Economic Association, vol. 94(3), pages 569-590, June.
    7. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    8. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2009. "A framework for assessing the systemic risk of major financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2036-2049, November.
    9. Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
    10. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    11. Biais, Bruno & Gollier, Christian, 1997. "Trade Credit and Credit Rationing," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 903-937.
    12. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    13. 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.
    14. Benjamin S. Wilner, 2000. "The Exploitation of Relationships in Financial Distress: The Case of Trade Credit," Journal of Finance, American Finance Association, vol. 55(1), pages 153-178, February.
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    More about this item

    Keywords

    Systemic risk; Trade credit; Liquidity channels; Tangible interconnectedness;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • 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
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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