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An agent-based model of payment systems

Citations

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Cited by:

  1. Krug, Sebastian, 2015. "The interaction between monetary and macroprudential policy: Should central banks "lean against the wind" to foster macrofinancial stability?," Economics Working Papers 2015-08, Christian-Albrechts-University of Kiel, Department of Economics.
  2. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
  3. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 67-116.
  4. Evangelos Benos & Rodney J. Garratt & Peter Zimmerman, 2014. "The Role of Counterparty Risk in CHAPS Following the Collapse of Lehman Brothers," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 143-172, December.
  5. Ball, Alan & Denbee, Edward & Manning, Mark & Wetherilt, Anne, 2011. "Financial Stability Paper No 11: Intraday Liquidity - Risk and Regulation," Bank of England Financial Stability Papers 11, Bank of England.
  6. De Caux, Robert & Brede, Markus & McGroarty, Frank, 2016. "Payment prioritisation and liquidity risk in collateralised interbank payment systems," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 139-150.
  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. Biliana Alexandrova-Kabadjova & Francisco Solís-Robleda, 2013. "Managing Intraday Liquidity: The Mexican Experience," Working Papers 2013-01, Banco de México.
  9. Co-Pierre Georg, 2010. "The effect of the interbank network structure on contagion and financial stability," Global Financial Markets Working Paper Series 12-2010, Friedrich-Schiller-University Jena.
  10. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
  11. Yuri Biondi & Feng Zhou, 2019. "Interbank credit and the money manufacturing process: a systemic perspective on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 437-468, September.
  12. Alexander Lubis & Constantinos Alexiou & Joseph G. Nellis, 2019. "Gauging the Impact of Payment System Innovations on Financial Intermediation: Novel Empirical Evidence from Indonesia," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(3), pages 290-338, December.
  13. Triepels, Ron & Daniels, Hennie, 2016. "A Comparison of Three Models to Predict Liquidity Flows between Banks Based on Daily Payments Transactions," Discussion Paper 2016-037, Tilburg University, Center for Economic Research.
  14. Carlos Castro & Juan Sebastian Ordoñez, 2012. "A Network model of systemic risk: identifying the sources of dependence across institutions," Documentos de Trabajo 009651, Universidad del Rosario.
  15. Soramäki, Kimmo & Cook, Samantha, 2012. "Algorithm for identifying systemically important banks in payment systems," Economics Discussion Papers 2012-43, Kiel Institute for the World Economy (IfW).
  16. Romain Plassard, 2020. "Making a Breach: The Incorporation of Agent-Based Models into the Bank of England's Toolkit," GREDEG Working Papers 2020-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  17. Krug, Sebastian, 2018. "The interaction between monetary and macroprudential policy: Should central banks 'lean against the wind' to foster macro-financial stability?," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 12, pages 1-69.
  18. Hitoshi Hayakawa, 2020. "Liquidity in Financial Networks," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 253-301, January.
  19. Soramäki, Kimmo & Cook, Samantha, 2013. "SinkRank: An algorithm for identifying systemically important banks in payment systems," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-27.
  20. Pablo S. Castro & Ajit Desai & Han Du & Rodney Garratt & Francisco Rivadeneyra, 2021. "Estimating Policy Functions in Payments Systems Using Reinforcement Learning," Staff Working Papers 21-7, Bank of Canada.
  21. B. Craig & D. Salakhova & M. Saldias, 2018. "Payments delay: propagation and punishment," Working papers 671, Banque de France.
  22. Co-Pierre Georg & Jenny Poschmann, 2010. "Systemic risk in a network model of interbank markets with central bank activity," Jena Economic Research Papers 2010-033, Friedrich-Schiller-University Jena.
  23. Triepels, Ron & Daniels, Hennie, 2016. "A Comparison of Three Models to Predict Liquidity Flows between Banks Based on Daily Payments Transactions," Other publications TiSEM 03d3fe35-dc9d-4df9-8d41-8, Tilburg University, School of Economics and Management.
  24. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis: A New Tool for Economic and Policy Analysis," Sciences Po publications 3, Sciences Po.
  25. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," Working Papers hal-01070338, HAL.
  26. Jonnathan Cáceres Santos and René Aldazosa Inchauste, 2013. "Analizando el riesgo sistémico en Bolivia: una aplicación de modelos de topología de redes y simulación al funcionamiento del Sistema de Pagos de Alto Valor," Revista de Análisis del BCB, Banco Central de Bolivia, vol. 17(2(2012)-1), pages 45-80, January.
  27. Jakub Gorka, 2013. "Ryzyko w systemie platniczym. (Risk in the payment system.)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 11(42), pages 111-123.
  28. Shaun Byck & Ronald Heijmans, 2020. "How much liquidity would a liquidity-saving mechanism save if a liquidity-saving mechanism could save liquidity? A simulation approach for Canada's large-value payment system Shaun Byck," DNB Working Papers 682, Netherlands Central Bank, Research Department.
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