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The international syndicated loan market network: An “unholy trinity”?

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  • Champagne, Claudia

Abstract

This paper provides a descriptive analysis of the international network of syndicated loan lenders through an examination of its topology and structure using network theory measures. The author studies both the undirected and directed graphs, weighted and unweighted connections, as well as different sub-networks based on lender type and geographical regions. Results show that the networks and sub-networks generally display an “unholy trinity” of structural properties that can be related to network robustness and stability. Specifically, lender networks have high complexity and connectivity, have a small-world structure characterized by proximity and clustering and also display scale-free characteristics with preferential attachment.

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  • Champagne, Claudia, 2014. "The international syndicated loan market network: An “unholy trinity”?," Global Finance Journal, Elsevier, vol. 25(2), pages 148-168.
  • Handle: RePEc:eee:glofin:v:25:y:2014:i:2:p:148-168
    DOI: 10.1016/j.gfj.2014.06.006
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    1. Gai, Prasanna & Kapadia, Sujit, 2010. "Contagion in financial networks," Bank of England working papers 383, Bank of England.
    2. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    3. Minoiu, Camelia & Reyes, Javier A., 2013. "A network analysis of global banking: 1978–2010," Journal of Financial Stability, Elsevier, vol. 9(2), pages 168-184.
    4. Marc Pröpper & Iman van Lelyveld & Ronald Heijmans, 2008. "Towards a Network Description of Interbank Payment Flows," DNB Working Papers 177, Netherlands Central Bank, Research Department.
    5. Champagne, Claudia & Kryzanowski, Lawrence, 2007. "Are current syndicated loan alliances related to past alliances?," Journal of Banking & Finance, Elsevier, vol. 31(10), pages 3145-3161, October.
    6. Yael V. Hochberg & Alexander Ljungqvist & Yang Lu, 2007. "Whom You Know Matters: Venture Capital Networks and Investment Performance," Journal of Finance, American Finance Association, vol. 62(1), pages 251-301, February.
    7. Gregory P. Nini, 2004. "The value of financial intermediaries: empirical evidence from syndicated loans to emerging market borrowers," International Finance Discussion Papers 820, Board of Governors of the Federal Reserve System (U.S.).
    8. Champagne, Claudia & Coggins, Frank, 2012. "Common information asymmetry factors in syndicated loan structures," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1437-1451.
    9. Blaise Gadanecz, 2004. "The syndicated loan market," BIS Quarterly Review, Bank for International Settlements, December.
    10. Naylor, Michael J. & Rose, Lawrence C. & Moyle, Brendan J., 2007. "Topology of foreign exchange markets using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 199-208.
    11. Jian Cai, 2009. "Competition or collaboration? The reciprocity effect in loan syndication," Working Papers (Old Series) 0909, Federal Reserve Bank of Cleveland.
    12. Takayuki Mizuno & Hideki Takayasu & Misako Takayasu, 2005. "Correlation Networks Among Currencies," Papers physics/0508164, arXiv.org, revised Aug 2005.
    13. Freixas, Xavier & Parigi, Bruno M & Rochet, Jean-Charles, 2000. "Systemic Risk, Interbank Relations, and Liquidity Provision by the Central Bank," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 611-638, August.
    14. G. Bonanno & G. Caldarelli & F. Lillo & S. Micciché & N. Vandewalle & R. Mantegna, 2004. "Networks of equities in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 363-371, March.
    15. Delphine Lautier and Franck Raynaud, 2012. "Systemic Risk in Energy Derivative Markets: A Graph-Theory Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    16. R. Kinney & P. Crucitti & R. Albert & V. Latora, 2005. "Modeling cascading failures in the North American power grid," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 46(1), pages 101-107, July.
    17. Amir Sufi, 2007. "Information Asymmetry and Financing Arrangements: Evidence from Syndicated Loans," Journal of Finance, American Finance Association, vol. 62(2), pages 629-668, April.
    18. Delphine Lautier & Franck Raynaud, 2012. "Systemic risk in energy derivative markets: a graph theory analysis," Post-Print halshs-00738201, HAL.
    19. Dror Y. Kenett & Yoash Shapira & Asaf Madi & Sharron Bransburg-Zabary & Gitit Gur-Gershgoren & Eshel Ben-Jacob, 2010. "Dynamics of Stock Market Correlations," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(3), pages 330-340, November.
    20. 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.
    21. Michael Boss & Helmut Elsinger & Martin Summer & Stefan Thurner, 2004. "Network topology of the interbank market," Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 677-684.
    22. repec:dau:papers:123456789/9709 is not listed on IDEAS
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    Cited by:

    1. Togan Egrican, Aslı, 2021. "Overlapping board connections with banker directors and corporate loan terms: Evidence from syndicated loans," Global Finance Journal, Elsevier, vol. 50(C).
    2. Kanno, Masayasu, 2022. "Exploring risks in syndicated loan networks: Evidence from real estate investment trusts," Economic Modelling, Elsevier, vol. 115(C).
    3. Line Drapeau & Claudia Champagne, 2015. "Do Syndicated Loans Influence Systemic Risk? An Empirical Analysis of the Canadian Syndicated Loan Market," Review of Economics & Finance, Better Advances Press, Canada, vol. 5, pages 22-41, November.
    4. Ling, Yu-Xiu & Xie, Chi & Wang, Gang-Jin, 2022. "Interconnectedness between convertible bonds and underlying stocks in the Chinese capital market: A multilayer network perspective," Emerging Markets Review, Elsevier, vol. 52(C).

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    More about this item

    Keywords

    Financial network analysis; Syndicated loan market; Small-world; Scale-free; Network structure;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools

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