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Using Synthetic Data to Measure the Impact of RTGS on Systemic Risk in the Australian Payments System

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Abstract

This paper examines the possibility that financial contagion may be spread from one bank to another via the Australian payments system. The initial study of payments system risk was undertaken by Humphrey (1986) who found significant risk in the U.S. Fedwire system in the mid 1980s. Subsequent studies by Angelini, Maresca & Russo (1996), Kuussaari (1996), Northcott (2002) and Furfine (2003) have found, however, little evidence of systemic risk in the payments systems of Italy, Finland and Canada, and in the U.S. inter-bank market. Given that the implementation of real time gross settlement (RTGS) systems in many countries, including Australia, at significant cost, has been designed to reduce payments system risk, the finding that this risk is small is significant. While detailed payments system data for Australia is not available to researchers outside the Reserve Bank, this study constructs a synthetic data set based on available information and uses this data to simulate the failure of each financial institution operating in the Australian payments system. We find little evidence of systemic risk in the Australian payments system using this approach and conclude that the introduction of RTGS in the Australian system in 1996 had only a marginal effect on risk.

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  • Peter Docherty & G Wang, 2006. "Using Synthetic Data to Measure the Impact of RTGS on Systemic Risk in the Australian Payments System," Working Paper Series 149, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
  • Handle: RePEc:uts:wpaper:149
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    Cited by:

    1. Schulz, Christian, 2011. "Liquidity requirements and payment delays - participant type dependent preferences," Working Paper Series 1291, European Central Bank.
    2. Pedro Sá Silva & Jorge Pinto & João Varajão & António Trigo & Isabel Bentes & Humberto Varum, 2012. "Potential Use of the Theory of Vulnerability in Information Systems," Information Resources Management Journal (IRMJ), IGI Global, vol. 25(2), pages 22-33, April.
    3. Peter Docherty & Gehong Wang, 2009. "A Revided Exposition of the Methodology for Testing Payments Systems Risk," Working Paper Series 159, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Maria Rosa Borges & Lauriano Ulica & Mariya Gubareva, 2020. "Systemic risk in the Angolan interbank payment system – a network approach," Applied Economics, Taylor & Francis Journals, vol. 52(45), pages 4900-4912, September.
    5. 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.
    6. Capponi, Agostino & Chen, Peng-Chu, 2015. "Systemic risk mitigation in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 152-166.
    7. Francesco Cordoni & Luca Di Persio & Luca Prezioso, 2019. "A lending scheme for a system of interconnected banks with probabilistic constraints of failure," Papers 1903.06042, arXiv.org, revised Oct 2019.
    8. 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, vol. 29(65), pages 106-175, June.
    9. 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).
    10. 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 7669, Banco de la Republica.
    11. 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, vol. 29(65), pages 106-175, June.
    12. V. Maslennikov V. & A. Larionov V. & В. Масленников В. & А. Ларионов В., 2020. "Влияние поведенческого цикла на формирование денежных потоков // Impact of the behavioral Cycle on Cash Flow Formation," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 24(5), pages 100-111.

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    More about this item

    Keywords

    payments system; real time gross settlement (RTGS); deferred net settlement (DNS); systemic risk; contagion;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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