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Illiquidity in the interbank payment system following wide-scale disruptions

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  • Morten L. Bech
  • Rod Garratt

Abstract

We show how the interbank payment system can become illiquid following wide-scale disruptions. Two forces are at play in such disruptions-operational problems and changes in participants' behavior. We model the interbank payment system as an n-player game and utilize the concept of a potential function to describe the process by which one of multiple equilibria emerges after a wide-scale disruption. If the disruption is large enough, hits a key geographic area, or hits a "too-big-to-fail" participant, then the coordination of payment processing can break down, and central bank intervention might be required to reestablish the socially efficient equilibrium. We also explore how the network topology of the underlying payment flow among banks affects the resiliency of coordination. The paper provides a theoretical framework to analyze the effects of events such as the September 11 attacks.

Suggested Citation

  • Morten L. Bech & Rod Garratt, 2006. "Illiquidity in the interbank payment system following wide-scale disruptions," Staff Reports 239, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:239
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    1. Galbiati, Marco & Soramäki, Kimmo, 2011. "An agent-based model of payment systems," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 859-875, June.
    2. James J. McAndrews & Simon M. Potter, 2002. "Liquidity effects of the events of September 11, 2001," Economic Policy Review, Federal Reserve Bank of New York, vol. 8(Nov), pages 59-79.
    3. Devriese, Johan & Mitchell, Janet, 2006. "Liquidity risk in securities settlement," Journal of Banking & Finance, Elsevier, vol. 30(6), pages 1807-1834, June.
    4. Kahn, Charles M & McAndrews, James & Roberds, William, 2003. "Settlement Risk under Gross and Net Settlement," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(4), pages 591-608, August.
    5. Bernanke, Ben S, 1990. "Clearing and Settlement during the Crash," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 133-151.
    6. Aumann, Robert J, 1987. "Correlated Equilibrium as an Expression of Bayesian Rationality," Econometrica, Econometric Society, vol. 55(1), pages 1-18, January.
    7. Aumann, Robert J., 1974. "Subjectivity and correlation in randomized strategies," Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 67-96, March.
    8. Lacker, Jeffrey M., 2004. "Payment system disruptions and the federal reserve following September 11, 2001," Journal of Monetary Economics, Elsevier, vol. 51(5), pages 935-965, July.
    9. Goyal, Sanjeev & Vega-Redondo, Fernando, 2005. "Network formation and social coordination," Games and Economic Behavior, Elsevier, vol. 50(2), pages 178-207, February.
    10. Dubey, Pradeep & Mas-Colell, Andreau & Shubik, Martin, 1980. "Efficiency properties of strategies market games: An axiomatic approach," Journal of Economic Theory, Elsevier, vol. 22(2), pages 339-362, April.
    11. Bech, Morten L. & Garratt, Rod, 2003. "The intraday liquidity management game," Journal of Economic Theory, Elsevier, vol. 109(2), pages 198-219, April.
    12. Rausser, Gordon C. & Simon, Leo K. & Zhao, Jinhua, 2000. "Environmental Remedies: An Incomplete Information Aggregation Game," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9z00731z, Department of Agricultural & Resource Economics, UC Berkeley.
    13. James J. McAndrews & Samira Rajan, 2000. "The timing and funding of Fedwire funds transfers," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 17-32.
    14. Angelini, P. & Maresca, G. & Russo, D., 1996. "Systemic risk in the netting system," Journal of Banking & Finance, Elsevier, vol. 20(5), pages 853-868, June.
    15. Stacy Panigay Coleman, 2002. "The Evolution of the Federal Reserve's Intraday Credit Policies," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), vol. 88(2), pages .67-84, February.
    16. Rausser, Gordon C. & Simon, Leo K. & Zhao, Jinhua, 2000. "Environmental Remedies: An Incomplete Information Aggregation Game," Berkeley Olin Program in Law & Economics, Working Paper Series qt9z00731z, Berkeley Olin Program in Law & Economics.
    17. Franklin Allen & Douglas Gale, 1998. "Financial Contagion Journal of Political Economy," Center for Financial Institutions Working Papers 98-31, Wharton School Center for Financial Institutions, University of Pennsylvania.
    18. Monderer, Dov & Shapley, Lloyd S., 1996. "Potential Games," Games and Economic Behavior, Elsevier, vol. 14(1), pages 124-143, May.
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    Cited by:

    1. Galbiati, Marco & Soramäki, Kimmo, 2011. "An agent-based model of payment systems," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 859-875, June.
    2. 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.
    3. Thorsten Koeppl & Cyril Monnet & Ted Temzelides, 2007. "A dynamic model of the payment system," Working Papers 07-22, Federal Reserve Bank of Philadelphia.
    4. Biliana Alexandrova‐Kabadjova, 2016. "Currents of Liquidity Flows Created by the Different Type of Payments: the Case of SPEI," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 65-84, January.
    5. Ronald Heijmans & Richard Heuver, 2011. "Is this bank ill? The diagnosis of doctor TARGET2," DNB Working Papers 316, Netherlands Central Bank, Research Department.
    6. Rod Garratt, 2019. "An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms," Staff Working Papers 19-26, Bank of Canada.
    7. 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.
    8. Morten L. Bech & Antoine Martin & James J. McAndrews, 2012. "Settlement liquidity and monetary policy implementation—lessons from the financial crisis," Economic Policy Review, Federal Reserve Bank of New York, vol. 18(Mar), pages 3-20.
    9. Ding Ding & Liyan Han & Libo Yin, 2017. "Systemic risk and dynamics of contagion: a duplex inter-bank network," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1435-1445, September.
    10. Ronald Heijmans & Richard Heuver & Clement Levallois & Iman van Lelyveld, 2014. "Dynamic visualization of large transaction networks: the daily Dutch overnight money market," DNB Working Papers 418, Netherlands Central Bank, Research Department.
    11. Nellen, Thomas, 2019. "Intraday liquidity facilities, late settlement fee and coordination," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 124-131.
    12. Peter Heemeijer & Ronald Heijmans, 2015. "Central bank intervention in large value payment systems: An experimental approach," DNB Working Papers 466, Netherlands Central Bank, Research Department.
    13. Financial Stability Committee, Task Force on cross-border Spillover Effects of macroprudential measures & Kok, Christoffer & Reinhardt, Dennis, 2020. "Cross-border spillover effects of macroprudential policies: a conceptual framework," Occasional Paper Series 242, European Central Bank.
    14. Leinonen, Harry, 2009. "Simulation analyses and stress testing of payment networks," Scientific Monographs, Bank of Finland, number 2009_042.
    15. 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.
    16. Carolina Mattsson, 2019. "Networks of monetary flow at native resolution," Papers 1910.05596, arXiv.org.
    17. Constanza Martínez & Freddy Cepeda, 2015. "Reaction Functions of the Participants in Colombia’s Large-value Payment System," Borradores de Economia 875, Banco de la Republica de Colombia.
    18. Benos, Evangelos & Ferrara, Gerardo & Gurrola-Perez, Pedro, 2017. "The impact of de-tiering in the United Kingdom’s large-value payment system," Bank of England working papers 676, Bank of England.
    19. Clara Lia Machado & Carlos León & Miguel Sarmiento & Orlando Chipatecua, 2010. "Riesgo Sistémico y Estabilidad del Sistema de Pagos de Alto Valor en Colombia: Análisis bajo Topología de Redes y Simulación de Pagos," BORRADORES DE ECONOMIA 007669, BANCO DE LA REPÚBLICA.
    20. Anna Chernobai & Ali K. Ozdagli & Jianlin Wang, 2016. "Business complexity and risk management: evidence from operational risk events in U. S. bank holding companies," Working Papers 16-16, Federal Reserve Bank of Boston.
    21. Clara Machado & Carlos León & Miguel Sarmiento & Freddy Cepeda & Orlando Chipatecua & Jorge Cely, 2011. "Riesgo Sistémico Y Estabilidad Del Sistema De Pagos De Alto Valor En Colombia: Análisis Bajo Topología De Redes Y Simulación De Pagos," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República - ESPE, vol. 29(65), pages 106-175, June.
    22. Neville Arjani & Ronald Heijmans, 2020. "Is there anybody out there? Detecting operational outages from LVTS transaction data," DNB Working Papers 683, Netherlands Central Bank, Research Department.
    23. Morten L. Bech & James T. E. Chapman & Rod Garratt, 2008. "Which bank is the \\"central\\" bank? an application of Markov theory to the Canadian Large Value Transfer System," Staff Reports 356, Federal Reserve Bank of New York.

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    Keywords

    Payment systems; Banks and banking; Game theory; Banks and banking; Central;
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