IDEAS home Printed from https://ideas.repec.org/a/wsi/jfexxx/v01y2014i01ns2345768614500044.html
   My bibliography  Save this article

The framework of systemic risk related to contagion, recovery rate and capital requirement in an interbank network

Author

Listed:
  • Xuemin Ren

    (Institute of Risk Management, Department of Mathematics, Tongji University, No. 1239 Siping Road, Shanghai, China 200092, China)

  • George X. Yuan

    (Institute of Risk Management, Department of Mathematics, Tongji University, No. 1239 Siping Road, Shanghai, China 200092, China)

  • Lishang Jiang

    (Institute of Risk Management, Department of Mathematics, Tongji University, No. 1239 Siping Road, Shanghai, China 200092, China)

Abstract

In this paper, by using the "clearing payment concept" initially introduced by Eisenberg and Noe (2001, Systemic Risk in Financial Systems. Management Science, 47(2), 236–249), under general framework of financial system (network) in an interbank network, we first discuss the mechanics of systemic risk's contagions related to assets' recovery rate, and capital requirement. Then under the general regularity condition for the financial network, we discuss some new results for the existence, uniqueness, and continuity results which could be regarded as the fundamental supporting for the systemic risk measurement in terms of numerical analysis with simulations in the practice.

Suggested Citation

  • Xuemin Ren & George X. Yuan & Lishang Jiang, 2014. "The framework of systemic risk related to contagion, recovery rate and capital requirement in an interbank network," Journal of Financial Engineering (JFE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-23.
    • Handle: RePEc:wsi:jfexxx:v:01:y:2014:i:01:n:s2345768614500044
    DOI: 10.1142/S2345768614500044
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2345768614500044
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S2345768614500044?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. 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.
    2. Céline Gauthier & Alfred Lehar & Moez Souissi, 2010. "Macroprudential Regulation and Systemic Capital Requirements," Staff Working Papers 10-4, Bank of Canada.
    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. Zachary Feinstein & Weijie Pang & Birgit Rudloff & Eric Schaanning & Stephan Sturm & Mackenzie Wildman, 2017. "Sensitivity of the Eisenberg-Noe clearing vector to individual interbank liabilities," Papers 1708.01561, arXiv.org, revised Oct 2018.

    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. Paola Bongini & Laura Nieri, 2014. "Identifying and Regulating Systemically Important Financial Institutions," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 43(1), pages 39-62, February.
    2. Batiz-Zuk, Enrique & López-Gallo, Fabrizio & Martínez-Jaramillo, Serafín & Solórzano-Margain, Juan Pablo, 2016. "Calibrating limits for large interbank exposures from a system-wide perspective," Journal of Financial Stability, Elsevier, vol. 27(C), pages 198-216.
    3. Martinez-Jaramillo, Serafin & Alexandrova-Kabadjova, Biliana & Bravo-Benitez, Bernardo & Solórzano-Margain, Juan Pablo, 2014. "An empirical study of the Mexican banking system’s network and its implications for systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 242-265.
    4. de Mendonça, Helder Ferreira & Silva, Rafael Bernardo da, 2018. "Effect of banking and macroeconomic variables on systemic risk: An application of ΔCOVAR for an emerging economy," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 141-157.
    5. Wided Khiari & Salim Ben Sassi, 2019. "On Identifying the Systemically Important Tunisian Banks: An Empirical Approach Based on the △CoVaR Measures," Risks, MDPI, vol. 7(4), pages 1-15, December.
    6. Chang, Carolyn W. & Li, Xiaodan & Lin, Edward M.H. & Yu, Min-Teh, 2018. "Systemic risk, interconnectedness, and non-core activities in Taiwan insurance industry," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 273-284.
    7. Office of Financial Research (ed.), 2012. "Office of Financial Research 2012 Annual Report," Reports, Office of Financial Research, US Department of the Treasury, number 12-1.
    8. Michal Skorepa & Jakub Seidler, 2015. "Capital buffers based on banks’ domestic systemic importance: selected issues," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 7(3), pages 207-220, August.
    9. van de Leur, Michiel C.W. & Lucas, André & Seeger, Norman J., 2017. "Network, market, and book-based systemic risk rankings," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 84-90.
    10. Dror Y. Kenett & Xuqing Huang & Irena Vodenska & Shlomo Havlin & H. Eugene Stanley, 2015. "Partial correlation analysis: applications for financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 569-578, April.
    11. Moreno, Ramón, 2011. "La formulación de políticas desde una perspectiva macroprudencial en economías emergentes," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 22, pages 21-40.
    12. Xisong Jin, 2018. "How much does book value data tell us about systemic risk and its interactions with the macroeconomy? A Luxembourg empirical evaluation," BCL working papers 118, Central Bank of Luxembourg.
    13. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    14. Dissem, Sonia & Lobez, Frederic, 2020. "Correlation between the 2014 EU-wide stress tests and the market-based measures of systemic risk," Research in International Business and Finance, Elsevier, vol. 51(C).
    15. Algieri, Bernardina & Leccadito, Arturo, 2017. "Assessing contagion risk from energy and non-energy commodity markets," Energy Economics, Elsevier, vol. 62(C), pages 312-322.
    16. Denisa Banulescu-Radu & Christophe Hurlin & Jérémy Leymarie & Olivier Scaillet, 2021. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Management Science, INFORMS, vol. 67(9), pages 5730-5754, September.
    17. Reboredo, Juan C. & Ugolini, Andrea, 2015. "A vine-copula conditional value-at-risk approach to systemic sovereign debt risk for the financial sector," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 98-123.
    18. Matousek, Roman & Panopoulou, Ekaterini & Papachristopoulou, Andromachi, 2020. "Policy uncertainty and the capital shortfall of global financial firms," Journal of Corporate Finance, Elsevier, vol. 62(C).
    19. Andrés Sagner, 2020. "Measuring Systemic Risk: A Quantile Factor Analysis," Working Papers Central Bank of Chile 874, Central Bank of Chile.
    20. Laurentiu Dumitru ANDREI & Petre BREZEANU & Sorin-Marius DINU & Tiberiu DIACONESCU & Constantin ANGHELACHE, 2019. "Correlations and Turbulence of the European Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 88-100, March.

    More about this item

    Keywords

    Systemic risk; clearing payment vector; contagion; interbank network; recovery rate; capital requirement; financial system; obstacle problem; C02; D85; G21; G28;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:wsi:jfexxx:v:01:y:2014:i:01:n:s2345768614500044. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jfe/jfe.shtml .

    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.