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Using synthetic data to evaluate the impact of RTGS on systemic risk in the Australian payments system

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  • Docherty, Peter
  • Wang, Gehong

Abstract

This paper develops a new methodology for allowing researchers outside central banks to test the extent of payment system risk, and applies this methodology to an investigation of the impact that the introduction of real time gross settlement (RTGS) had on systemic risk in the Australian payments system. System-specific ratios are first developed to extract bilateral payment obligations from aggregate payments data in the Australian RTGS system. This synthetic data is then used to generate a deferred net settlement (DNS) system of similar dimensions to those the Australian system would have had, had RTGS not been introduced. Standard default simulation methodology is then applied to test the levels of systemic risk in both this system and the corresponding RTGS system to ascertain the degree to which the introduction of RTGS is likely to have reduced the level of risk. We find that while the level of systemic risk is likely to have been reduced in the Australian case, the size of the effect is small, a finding consistent with the results of payments system studies in other countries.

Suggested Citation

  • Docherty, Peter & Wang, Gehong, 2010. "Using synthetic data to evaluate the impact of RTGS on systemic risk in the Australian payments system," Journal of Financial Stability, Elsevier, vol. 6(2), pages 103-117, June.
  • Handle: RePEc:eee:finsta:v:6:y:2010:i:2:p:103-117
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    2. Schulz, Christian, 2011. "Liquidity requirements and payment delays - participant type dependent preferences," Working Paper Series 1291, European Central Bank.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. Irving Fisher Committee, 2024. "Granular data: new horizons and challenges," IFC Bulletins, Bank for International Settlements, number 61.
    12. 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.
    13. 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;

    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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