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Recent Use Cases of Supervisory Granular Data for Financial Stability Analysis

Author

Listed:
  • Hiroshi Oishi

    (Bank of Japan)

  • Yoshibumi Makabe

    (Bank of Japan)

  • Mitsuhiro Osada

    (Bank of Japan)

Abstract

This article provides an overview of how supervisory granular data, particularly loan-by-loan data from banks, is used in recent analyses of the financial system at the Bank of Japan. The transaction-level granular data uncovers new facts that are difficult to identify from conventional aggregated data alone. As such, it serves as a powerful tool for detecting vulnerabilities within the financial system and evaluating potential risks. It is important to keep advancing analytical methods for utilizing granular data, thereby contributing to the enhancement of financial stability assessment and the improvement of banks' risk management.

Suggested Citation

  • Hiroshi Oishi & Yoshibumi Makabe & Mitsuhiro Osada, 2026. "Recent Use Cases of Supervisory Granular Data for Financial Stability Analysis," Bank of Japan Review Series 26-E-2, Bank of Japan.
    • Handle: RePEc:boj:bojrev:rev26e02
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    File URL: https://www.boj.or.jp/en/research/wps_rev/rev_2026/data/rev26e02.pdf
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    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • 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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