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Using mirror data to track international banking

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  • Swapan-Kumar Pradhan
  • João Falcão Silva

Abstract

Recent enhancements to the BIS international banking statistics have led to improvements in data quality and coverage, with more information available about the instrument type, counterparty country by bank nationality and counterparty sector of banks' international positions. This study uses mirror data techniques to examine those data elements that are common both within the various international banking datasets and between these datasets and other external financial statistics such as the Balance of Payments, International Investment Position, Coordinated Portfolio Investment Survey and the BIS International Debt Securities Statistics. We exploit the conceptual relationships between these data sources to check data validity at an aggregate level. The paper thus provides a road map for users to enhance their analyses using mirror data concepts.

Suggested Citation

  • Swapan-Kumar Pradhan & João Falcão Silva, 2019. "Using mirror data to track international banking," IFC Working Papers 19, Bank for International Settlements.
    • Handle: RePEc:bis:bisiwp:19
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    References listed on IDEAS

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    1. João Falcão Silva & Swapan-Kumar Pradhan, 2019. "Uses of mirror data: examples from the BIS international banking statistics and other external statistics," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    2. Stefan Avdjiev & Patrick McGuire & Philip Wooldridge, 2015. "Enhanced data to analyse international banking," BIS Quarterly Review, Bank for International Settlements, September.
    3. Philip Wooldridge, 2002. "Uses of the BIS statistics: an introduction," BIS Quarterly Review, Bank for International Settlements, March.
    4. Branimir Gruic & Philip Wooldridge, 2012. "Enhancements to the BIS debt securities statistics," BIS Quarterly Review, Bank for International Settlements, December.
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    Cited by:

    1. Paula Menezes & Fausto Pastoris & Carmen Picon-Aguilar & Martin Schmitz & Nuno Silva & Bruno Tissot, 2020. "Central banks and external statistics: evolution or revolution?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?, volume 52, Bank for International Settlements.
    2. Robin Koepke & Simon Paetzold, 2024. "Capital flow data—A guide for empirical analysis and real‐time tracking," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 311-331, January.
    3. Bryan Hardy & Patrick McGuire & Goetz von Peter, 2024. "International finance through the lens of BIS statistics: the geography of banks' operations," BIS Quarterly Review, Bank for International Settlements, December.
    4. Burcu Tunç & Burcu Çakmak & Cansu Gökçe Zeybek & Bruno Tissot, 2020. "Using financial accounts - a central banking perspective," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Using financial accounts, volume 51, Bank for International Settlements.

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    Keywords

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    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission
    • F30 - International Economics - - International Finance - - - General

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