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Enhancing external debt nowcasting: a data-driven approach using advanced analytics

In: Data science in central banking

Author

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  • Candra Puspita Dewi
  • Aditya Wisnugraha Sugiyarto
  • Sony Panji Wicaksono

Abstract

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Suggested Citation

  • Candra Puspita Dewi & Aditya Wisnugraha Sugiyarto & Sony Panji Wicaksono, 2026. "Enhancing external debt nowcasting: a data-driven approach using advanced analytics," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking, volume 67, Bank for International Settlements.
  • Handle: RePEc:bis:bisifc:67-23
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    File URL: https://www.bis.org/ifc/publ/ifcb67_23.pdf
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    References listed on IDEAS

    as
    1. John T. Cuddington, 1997. "Analysing the Sustainability of Fiscal Deficits in Developing Countries," International Finance 9706001, University Library of Munich, Germany.
    2. Carmen M. Reinhart & Kenneth S. Rogoff, 2010. "Growth in a Time of Debt," American Economic Review, American Economic Association, vol. 100(2), pages 573-578, May.
    3. Bulut Levent, 2011. "External Debts and Current Account Adjustments," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-53, December.
    4. Ming Chen, 2020. "Time Series Clustering and Classification," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1558-1558, July.
    5. Vaia I. Kontopoulou & Athanasios D. Panagopoulos & Ioannis Kakkos & George K. Matsopoulos, 2023. "A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks," Future Internet, MDPI, vol. 15(8), pages 1-31, July.
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