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Is there anybody out there? Detecting operational outages from LVTS transaction data

Author

Listed:
  • Neville Arjani
  • Ronald Heijmans

Abstract

Canadian Large Value Transfer System. We define an operational outage as either no or unusually low activity. We test our algorithm against a database of outages by participants reported in order to reduce false negatives. The false positives can be reduced by excluding Å“outages found by the algorithm if a participant historically has no payment in a given five minute time interval. Additionally, we can test whether participants do indeed report all their operational outages. The results show that our algorithm works best for the largest participants as they send in payments continuously. Our method can be used by LVTS system operators and overseers to identify sources of operational risks.Â

Suggested Citation

  • Neville Arjani & Ronald Heijmans, 2020. "Is there anybody out there? Detecting operational outages from LVTS transaction data," Working Papers 683, DNB.
    • Handle: RePEc:dnb:dnbwpp:683
    as

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    File URL: https://www.dnb.nl/media/ya2nzc1g/working-paper-no-683_tcm47.pdf
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    References listed on IDEAS

    as
    1. Klaus Abbink & Ronald Bosman & Ronald Heijmans & Frans van Winden, 2017. "Disruptions in Large-Value Payment Systems: An Experimental Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 63-95, December.
    2. Morten L. Bech & Rodney J. Garratt, 2012. "Illiquidity in the Interbank Payment System Following Wide-Scale Disruptions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(5), pages 903-929, August.
    3. 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.
    4. Morten L. Bech & Bart Hobijn, 2007. "Technology Diffusion within Central Banking: The Case of Real-Time Gross Settlement," International Journal of Central Banking, International Journal of Central Banking, vol. 3(3), pages 147-181, September.
    5. Bech, Morten L. & Garratt, Rod, 2003. "The intraday liquidity management game," Journal of Economic Theory, Elsevier, vol. 109(2), pages 198-219, April.
    6. repec:zbw:bofism:2015_050 is not listed on IDEAS
    7. Klee, Elizabeth, 2010. "Operational outages and aggregate uncertainty in the federal funds market," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2386-2402, October.
    8. Benos, Evangelos & Garratt, Rodney & zimmerman, Peter, 2012. "Bank behaviour and risks in CHAPS following the collapse of Lehman Brothers," Bank of England working papers 451, Bank of England.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Ajit Desai & Jacob Sharples & Anneke Kosse, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Granular data: new horizons and challenges, volume 61, Bank for International Settlements.
    2. Jan Paulick & Ron Berndsen & Martin Diehl & Ronald Heijmans, 2024. "No more tears without tiers? The impact of indirect settlement on liquidity use in TARGET2," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(2), pages 425-458, May.
    3. Paulick, Jan, 2022. "Financial market infrastructures : Essays on liquidity, participant behaviour and information extraction," Other publications TiSEM 004942ed-f68d-40cc-a830-b, Tilburg University, School of Economics and Management.
    4. 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).
    5. Anneke Kosse & Zhentong Lu, 2022. "Transmission of Cyber Risk Through the Canadian Wholesale Payment System," Staff Working Papers 22-23, Bank of Canada.

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    More about this item

    Keywords

    Operational Risk; LVTS; Financial Market Infrastructures; outages;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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