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The network structure of the China bond market: Characteristics and explanations from trading factors

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  • Yao, Dongmin
  • Sun, Rong
  • Gao, Qiunan

Abstract

Based on the transaction records of financial institutions in the China interbank bond market, we construct a binary and directed trading network for each trading day. Topology analysis of network snapshots shows the network to be scale-free and disassortative, revealing a stable “core–peripheral” hierarchical structure. Further, the rich-core method is adopted to identify the core nodes and divide the overall network into three subnetworks. Relying on the exponential random graph model (ERGM), we find that the pledge rate is vital in shaping the network structure. Still, collateral has a relatively weak impact as compensation for default risk. Appropriate counterparties, including primary dealers, trading institutions sharing more common counterparties and institutions that have formed long-term trading relationships, are conducive to forming a network. We also find that the transaction cost factor has the least impact on the core subnetwork, and the counterparty factor is more important for the intermediate and peripheral subnetworks.

Suggested Citation

  • Yao, Dongmin & Sun, Rong & Gao, Qiunan, 2022. "The network structure of the China bond market: Characteristics and explanations from trading factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    • Handle: RePEc:eee:phsmap:v:598:y:2022:i:c:s0378437122002710
    DOI: 10.1016/j.physa.2022.127347
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    as
    1. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
    2. de Masi, G. & Iori, G. & Caldarelli, G., 2006. "A fitness model for the Italian interbank money market," Working Papers 06/08, Department of Economics, City University London.
    3. Upper, Christian & Worms, Andreas, 2004. "Estimating bilateral exposures in the German interbank market: Is there a danger of contagion?," European Economic Review, Elsevier, vol. 48(4), pages 827-849, August.
    4. Jones, Charles M & Kaul, Gautam & Lipson, Marc L, 1994. "Transactions, Volume, and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 631-651.
    5. Deev, Oleg & Lyócsa, Štefan, 2020. "Connectedness of financial institutions in Europe: A network approach across quantiles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    6. Hans Degryse & Grégory Nguyen, 2004. "Interbank exposures: an empirical examination of systemic risk in the Belgian banking system," Working Paper Research 43, National Bank of Belgium.
    7. 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.
    8. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2002. "Order imbalance, liquidity, and market returns," Journal of Financial Economics, Elsevier, vol. 65(1), pages 111-130, July.
    9. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    10. Raphael Schestag & Philipp Schuster & Marliese Uhrig-Homburg, 2016. "Measuring Liquidity in Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 29(5), pages 1170-1219.
    11. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
    12. Athen Ma & Raúl J Mondragón, 2015. "Rich-Cores in Networks," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    13. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    14. Ahmet Sensoy & Duc Khuong Nguyen & Ahmed Rostom & Erk Hacihasanoglu, 2019. "Dynamic integration and network structure of the EMU sovereign bond markets," Annals of Operations Research, Springer, vol. 281(1), pages 297-314, October.
    15. Peltonen, Tuomas A. & Scheicher, Martin & Vuillemey, Guillaume, 2014. "The network structure of the CDS market and its determinants," Journal of Financial Stability, Elsevier, vol. 13(C), pages 118-133.
    16. Chen, Kun & Luo, Peng & Sun, Bianxia & Wang, Huaiqing, 2015. "Which stocks are profitable? A network method to investigate the effects of network structure on stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 224-235.
    17. Custódio, Cláudia & Ferreira, Miguel A. & Laureano, Luís, 2013. "Why are US firms using more short-term debt?," Journal of Financial Economics, Elsevier, vol. 108(1), pages 182-212.
    18. Hajime Inaoka & Takuto Ninomiya & Ken Taniguchi & Tokiko Shimizu & Hideki Takayasu, 2004. "Fractal Network derived from banking transaction -- An analysis of network structures formed by financial institutions --," Bank of Japan Working Paper Series 04-E-4, Bank of Japan.
    19. Gofman, Michael, 2017. "Efficiency and stability of a financial architecture with too-interconnected-to-fail institutions," Journal of Financial Economics, Elsevier, vol. 124(1), pages 113-146.
    20. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    21. Souma, Wataru & Fujiwara, Yoshi & Aoyama, Hideaki, 2003. "Complex networks and economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 396-401.
    22. repec:zbw:bofrdp:2009_006 is not listed on IDEAS
    23. Lee, Junghoon & Youn, Janghyuk & Chang, Woojin, 2012. "Intraday volatility and network topological properties in the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1354-1360.
    24. Edson Bastos Santos & Rama Cont, 2010. "The Brazilian Interbank Network Structure and Systemic Risk," Working Papers Series 219, Central Bank of Brazil, Research Department.
    25. Bech, Morten L. & Chapman, James T.E. & Garratt, Rodney J., 2010. "Which bank is the "central" bank?," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 352-363, April.
    26. Patrick Schaffner & Angelo Ranaldo & Kostas Tsatsaronis, 2019. "Euro repo market functioning: collateral is king," BIS Quarterly Review, Bank for International Settlements, December.
    27. Wang, Zhongxing & Yan, Yan & Chen, Xiaosong, 2017. "Long-range correlation and market segmentation in bond market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 477-485.
    28. 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.
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