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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. 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.
  3. 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.
  4. 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.
  5. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models: A New Tool for Economic and Policy Analysis," Sciences Po publications info:hdl:2441/121881fn7h9, Sciences Po.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Carlos Castro & Juan Sebastian Ordonez, 2012. "A Network model of systemic risk: identifying the sources of dependence across institutions," Documentos de Trabajo 9651, Universidad del Rosario.
  11. B. Craig & D. Salakhova & M. Saldias, 2018. "Payments delay: propagation and punishment," Working papers 671, Banque de France.
  12. Narayan Bulusu & Matthew McNeely & Kaetlynd McRae & Jonathan Witmer, 2023. "Estimating the Appropriate Quantity of Settlement Balances in a Floor System," Discussion Papers 2023-26, Bank of Canada.
  13. repec:hal:spmain:info:hdl:2441/dcditnq6282sbu1u151qe5p7f is not listed on IDEAS
  14. Pietro DeLellis & Anna DiMeglio & Franco Garofalo & Francesco Lo Iudice, 2017. "The evolving cobweb of relations among partially rational investors," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-21, February.
  15. 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.
  16. 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.
  17. 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.
  18. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
  19. Tanatorn Tanantong & Monchai Parnkow, 2022. "A Survey of Automatic Text Classification Based on Thai Social Media Data," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 13(1), pages 1-25, January.
  20. Alexandrova-Kabadjova Biliana & Solís-Robleda Francisco, 2013. "Managing Intraday Liquidity: The Mexican Experience," Working Papers 2013-01, Banco de México.
  21. 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.
  22. Sabetti, Leonard & Heijmans, Ronald, 2021. "Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
  23. 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.
  24. 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 Kiel).
  25. 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.
  26. 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 (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-69.
  27. Hitoshi Hayakawa, 2020. "Liquidity in Financial Networks," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 253-301, January.
  28. Soramäki, Kimmo & Cook, Samantha, 2013. "SinkRank: An algorithm for identifying systemically important banks in payment systems," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-27.
  29. 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.
  30. Co-Pierre Georg & Jenny Poschmann, 2010. "Systemic risk in a network model of interbank markets with central bank activity," Jena Economics Research Papers 2010-033, Friedrich-Schiller-University Jena.
  31. 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.
  32. repec:hal:spmain:info:hdl:2441/121881fn7h9haadnuq3gp3ujjd is not listed on IDEAS
  33. repec:hal:spmain:info:hdl:2441/53r60a8s3kup1vc9l5643ehjk is not listed on IDEAS
  34. Jonnathan Cáceres Santos & 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.
  35. Hellqvist, Matti & Laine, Tatu (ed.), 2012. "Diagnostics for the financial markets: computational studies of payment system: Simulator Seminar Proceedings 2009-2011," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2012_045.
  36. 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.
  37. 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," Working Papers 682, DNB.
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