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High-frequency indicators for financial stability: a methodology utilising big data in payment system data

In: Statistics and beyond: new data for decision making in central banks

Author

Listed:
  • Renardi Ardiya Bimantoro
  • Charvin Lim
  • Mohammad Khoyrul Hidayat

Abstract

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Suggested Citation

  • Renardi Ardiya Bimantoro & Charvin Lim & Mohammad Khoyrul Hidayat, 2026. "High-frequency indicators for financial stability: a methodology utilising big data in payment system data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistics and beyond: new data for decision making in central banks, volume 66, Bank for International Settlements.
    • Handle: RePEc:bis:bisifc:66-43
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    File URL: https://www.bis.org/ifc/publ/ifcb66_43.pdf
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    References listed on IDEAS

    as
    1. Claudio Borio, 2020. "The Covid-19 economic crisis: dangerously unique," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 55(4), pages 181-190, October.
    2. Claessens, Stijn & Ghosh, Swati R. & Mihet, Roxana, 2013. "Macro-prudential policies to mitigate financial system vulnerabilities," Journal of International Money and Finance, Elsevier, vol. 39(C), pages 153-185.
    3. Thomas Philippon, 2016. "The FinTech Opportunity," NBER Working Papers 22476, National Bureau of Economic Research, Inc.
    4. Agustín Carstens, 2020. "Shaping the future of payments," BIS Quarterly Review, Bank for International Settlements, March.
    Full references (including those not matched with items on IDEAS)

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