IDEAS home Printed from https://ideas.repec.org/p/ime/imedps/16-e-13.html
   My bibliography  Save this paper

Market Liquidity and Systemic Risk in Government Bond Markets: A Network Analysis and Agent-Based Model Approach

Author

Listed:
  • Toshiyuki Sakiyama

    (Deputy Director, Economic and Financial Studies Division, Institute for Monetary and Economic Studies (currently Financial Markets Department), Bank of Japan (E-mail: toshiyuki.sakiyama@boj.or.jp))

  • Tetsuya Yamada

    (Director, Economic and Financial Studies Division, Institute for Monetary and Economic Studies, Bank of Japan (E-mail: tetsuya.yamada@boj.or.jp))

Abstract

Recently, market liquidity in government bond markets has been attracting attention by market participants and central bankers since interest rate spikes have become frequent under unconventional monetary easing. We analyze network structures in the JGB (Japanese government bond) market using daily data from the BOJ-NET (the Bank of Japan Financial Network System). To our knowledge, this is the first network analysis on the government bond market. We studies how QQE (quantitative and qualitative monetary easing) has affected JGB market structure. We also conduct event studies for the spikes in interest rates (the shock after the introduction of QQE and the so-called VaR [Value at Risk] shock in 2003). In addition, we propose an agent-based model that accounts for the findings of the above event studies, and show that not only the capital adequacy of market participants but also the network structure are important for financial market stability.

Suggested Citation

  • Toshiyuki Sakiyama & Tetsuya Yamada, 2016. "Market Liquidity and Systemic Risk in Government Bond Markets: A Network Analysis and Agent-Based Model Approach," IMES Discussion Paper Series 16-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
  • Handle: RePEc:ime:imedps:16-e-13
    as

    Download full text from publisher

    File URL: http://www.imes.boj.or.jp/research/papers/english/16-E-13.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. in ’t Veld, Daan & van Lelyveld, Iman, 2014. "Finding the core: Network structure in interbank markets," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 27-40.
    2. Eduardo Tellez, 2013. "Mapping the Australian Banking System Network," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 45-54, June.
    3. Richard Bookstaber & Mark Paddrik & Brian Tivnan, 2018. "An agent-based model for financial vulnerability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 433-466, July.
    4. 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.
    5. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    6. Kentaro Iwatsubo & Tomoki Taishi, 2018. "Quantitative Easing and Liquidity in the Japanese Government Bond Market," International Review of Finance, International Review of Finance Ltd., vol. 18(3), pages 463-475, September.
    7. Hans Degryse & Grégory Nguyen, 2007. "Interbank Exposures: An Empirical Examination of Contagion Risk in the Belgian Banking System," International Journal of Central Banking, International Journal of Central Banking, vol. 3(2), pages 123-171, June.
    8. Inaoka, Hajime & Takayasu, Hideki & Shimizu, Tokiko & Ninomiya, Takuto & Taniguchi, Ken, 2004. "Self-similarity of banking network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(3), pages 621-634.
    9. Rama Cont & Amal Moussa & Edson B Santos, 2013. "Network structure and systemic risk in banking systems," Post-Print hal-00912018, HAL.
    10. Daniel O. Beltran & Valentin Bolotnyy & Elizabeth C. Klee, 2015. "Un-Networking: The Evolution of Networks in the Federal Funds Market," Finance and Economics Discussion Series 2015-55, Board of Governors of the Federal Reserve System (U.S.).
    11. Iman van Lelyveld & Franka Liedorp, 2006. "Interbank Contagion in the Dutch Banking Sector: A Sensitivity Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 2(2), May.
    12. Tetsuo Kurosaki & Yusuke Kumano & Kota Okabe & Teppei Nagano, 2015. "Liquidity in JGB Markets: An Evaluation from Transaction Data," Bank of Japan Working Paper Series 15-E-2, Bank of Japan.
    13. 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.
    14. Tiziano Squartini & Iman van Lelyveld & Diego Garlaschelli, 2013. "Early-warning signals of topological collapse in interbank networks," Papers 1302.2063, arXiv.org, revised Nov 2013.
    15. Kentaro Iwatsubo & Tomoki Taishi, 2016. "Quantitative Easing and Liquidity in the Japanese Government Bond Market," Discussion Papers 1623, Graduate School of Economics, Kobe University.
    16. Iori, Giulia & De Masi, Giulia & Precup, Ovidiu Vasile & Gabbi, Giampaolo & Caldarelli, Guido, 2008. "A network analysis of the Italian overnight money market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 259-278, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hattori, Takahiro, 2021. "Noise as a liquidity measure: Evidence from the JGB market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    2. HORIKAWA Takumi & MATSUI Yujiro & GEMMA Yasufumi, 2021. "A Network Analysis of the JGB Repo Market," Bank of Japan Working Paper Series 21-E-14, Bank of Japan.
    3. repec:hal:spmain:info:hdl:2441/1j4v8sl4fc9a49ankmnhv6bb6a is not listed on IDEAS
    4. Takanobu Mizuta & Sadayuki Horie, 2019. "Mechanism by which active funds make market efficient investigated with agent-based model," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 43-63, June.
    5. Popoyan, Lilit & Napoletano, Mauro & Roventini, Andrea, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    6. Mr. Fei Han & Dulani Seneviratne, 2018. "Scarcity Effects of Quantitative Easing on Market Liquidity: Evidence from the Japanese Government Bond Market," IMF Working Papers 2018/096, International Monetary Fund.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabio Caccioli & Paolo Barucca & Teruyoshi Kobayashi, 2018. "Network models of financial systemic risk: a review," Journal of Computational Social Science, Springer, vol. 1(1), pages 81-114, January.
    2. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
    3. in ’t Veld, Daan & van Lelyveld, Iman, 2014. "Finding the core: Network structure in interbank markets," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 27-40.
    4. Ebrahimi Kahou, Mahdi & Lehar, Alfred, 2017. "Macroprudential policy: A review," Journal of Financial Stability, Elsevier, vol. 29(C), pages 92-105.
    5. Krause, Andreas & Giansante, Simone, 2012. "Interbank lending and the spread of bank failures: A network model of systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 583-608.
    6. Paul Glasserman & Peyton Young, 2015. "Contagion in Financial Networks," Economics Series Working Papers 764, University of Oxford, Department of Economics.
    7. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    8. I�aki Aldasoro & Ignazio Angeloni, 2015. "Input-output-based measures of systemic importance," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 589-606, April.
    9. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    10. Pablo Rovira Kaltwasser & Alessandro Spelta, 2019. "Identifying systemically important financial institutions: a network approach," Computational Management Science, Springer, vol. 16(1), pages 155-185, February.
    11. Sümer, Tuba Pelin & Özyıldırım, Süheyla, 2019. "Do banking groups shape the network structure? Evidence from Turkish interbank market," International Review of Financial Analysis, Elsevier, vol. 66(C).
    12. Dror Y. Kenett & Sary Levy-Carciente & Adam Avakian & H. Eugene Stanley & Shlomo Havlin, 2015. "Dynamical Macroprudential Stress Testing Using Network Theory," Working Papers 15-12, Office of Financial Research, US Department of the Treasury.
    13. Temizsoy, Asena & Iori, Giulia & Montes-Rojas, Gabriel, 2017. "Network centrality and funding rates in the e-MID interbank market," Journal of Financial Stability, Elsevier, vol. 33(C), pages 346-365.
    14. Liu, Anqi & Paddrik, Mark & Yang, Steve Y. & Zhang, Xingjia, 2020. "Interbank contagion: An agent-based model approach to endogenously formed networks," Journal of Banking & Finance, Elsevier, vol. 112(C).
    15. Lopomo Beteto Wegner, Danilo, 2020. "Liquidity policies and financial fragility," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 135-153.
    16. Dror Kenett & Shlomo Havlin, 2015. "Network science: a useful tool in economics and finance," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 155-167, November.
    17. Paul Glasserman & H. Peyton Young, 2015. "Contagion in Financial Markets," Working Papers 15-21, Office of Financial Research, US Department of the Treasury.
    18. Levy-Carciente, Sary & Kenett, Dror Y. & Avakian, Adam & Stanley, H. Eugene & Havlin, Shlomo, 2015. "Dynamical macroprudential stress testing using network theory," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 164-181.
    19. Upper, Christian, 2011. "Simulation methods to assess the danger of contagion in interbank markets," Journal of Financial Stability, Elsevier, vol. 7(3), pages 111-125, August.
    20. Abduraimova, Kumushoy & Nahai-Williamson, Paul, 2021. "Solvency distress contagion risk: network structure, bank heterogeneity and systemic resilience," Bank of England working papers 909, Bank of England.

    More about this item

    Keywords

    Market Liquidity; Government bond markets; Quantitative and Qualitative Easing; Network analysis; Systemic risk; Agent-based model;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ime:imedps:16-e-13. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kinken (email available below). General contact details of provider: https://edirc.repec.org/data/imegvjp.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.