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Big data in Asian central banks

Author

Listed:
  • Giulio Cornelli
  • Sebastian Doerr
  • Leonardo Gambacorta
  • Bruno Tissot

Abstract

This paper reviews the use of big data in Asian central banks, leveraging on a survey conducted among the members of the Irving Fisher Committee. The analysis reveals four main insights. First, Asian central banks define big data in a more encompassing way that includes unstructured non-traditional as well as structured data sets. Second, interest in big data appears higher in Asia, including at the senior policy level; the focus is in particular on projects developed to process natural language, conduct nowcasting/monitoring exercises, and develop applications to extract economy insights as well as suptech/regtech solutions. Third, Asian central banks report dealing with big data to support a wide range of tasks. Fourth, big data poses new challenges, with specific attention paid in the region to cyber security and data strategy. As a result, there is a growing need for international policy cooperation, especially among public authorities in Asia to facilitate the use of payments data and promote innovative technological solutions.

Suggested Citation

  • Giulio Cornelli & Sebastian Doerr & Leonardo Gambacorta & Bruno Tissot, 2022. "Big data in Asian central banks," IFC Working Papers 21, Bank for International Settlements.
    • Handle: RePEc:bis:bisiwp:21
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    References listed on IDEAS

    as
    1. Marlene Amstad & Leonardo Gambacorta & Chao He & Dora Xia, 2021. "Trade sentiment and the stock market: new evidence based on big data textual analysis of Chinese media," BIS Working Papers 917, Bank for International Settlements.
    2. Bruno Tissot, 2017. "Big data and central banking - Overview," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Big Data, volume 44, Bank for International Settlements.
    3. Jens Mehrhoff, 2019. "Demystifying big data in official statistics – it’s not rocket science!," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    4. Gambacorta, Leonardo & Cornelli, Giulio & Frost, Jon & Rau, Raghavendra & Wardrop, Robert & Ziegler, Tania, 2020. "Fintech and big tech credit: a new database," CEPR Discussion Papers 15357, C.E.P.R. Discussion Papers.
    5. Paphatsorn Sawaengsuksant, 2019. "Standardised approach in developing economic indicators using internet searching applications," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    6. Jeannine Bailliu & Xinfen Han & Mark Kruger & Yu-Hsien Liu & Sri Thanabalasingam, 2019. "Can media and text analytics provide insights into labour market conditions in China?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    7. Alvin Andhika Zulen & Okiriza Wibisono, 2019. "Measuring stakeholders’ expectation on central bank’s policy rate," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    8. Nymand-Andersen, Per & Pantelidis, Emmanouil, 2018. "Google econometrics: nowcasting euro area car sales and big data quality requirements," Statistics Paper Series 30, European Central Bank.
    9. Marlene Amstad & Giulio Cornelli & Leonardo Gambacorta & Dora Xia, 2020. "Investors' risk attitudes in the pandemic and the stock market: new evidence based on internet searches," BIS Bulletins 25, Bank for International Settlements.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Feng Zhu, 2022. "Comment on “Big Data in Asian Central Banks”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(2), pages 272-273, July.
    2. Yiping Huang & Takatoshi Ito & Kazumasa Iwata & Colin McKenzie & Shujiro Urata, 2022. "Digital Finance in Asia: Editors' Overview," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(2), pages 163-182, July.

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    More about this item

    Keywords

    Asian central banks; artificial intelligence; big data; data science; international cooperation;
    All these keywords.

    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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