Reflecting Digitalization in Financial Sector Statistics
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- Reflecting Digitalization in Financial Sector Statistics
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Bibliographic details
- Session: ST 26.28
- Location: Singapore, Singapore
- Dates: September 21-25, 2026 (1 week)
- Delivery method: In-person Training
- Primary language: English
- Status: Deadline passed
Program overview and logistics
- Event: Reflecting Digitalization in Financial Sector Statistics (Training Program), Session No.: ST 26.28.
- Status: Deadline passed.
- Location: Singapore, Singapore.
- Date: September 21-25, 2026 (1 week).
- Delivery Method: In-person Training.
- Primary Language: English.
- The five-day course is delivered by the IMF's Statistics Department.
Target audience and qualifications
- Target Audience:
- Mid-level government officials from central banks, financial services supervisors and regulators and other agencies involved in financial sector statistics.
- Qualifications:
- Participants are expected to have a degree in economics/finance or equivalent experience.
Course purpose and themes
- Purpose:
- To focus on how digitalization is impacting financial sector statistics and on reflecting digitalization in statistical frameworks and data collection.
- Major thematic emphases:
- The digital revolution in finance as a fundamental transformation of the financial landscape, reshaping how financial services are delivered, consumed, and managed.
- The challenge of accurately capturing rapidly evolving digital dynamics within traditional financial sector statistics and established methodologies.
- The need to update statistical methodological guidance and data collection to capture emerging instruments and market participants.
Emerging instruments and market participants highlighted
- Fintech companies.
- Mobile payments.
- Peer-to-peer lending platforms.
- Digital currencies.
- Crypto assets.
Methodological focus and collaborative approach
- Methodological focus:
- Discuss emerging methodologies to reflect digitalization in financial sector statistics.
- Explore how statistical frameworks built around traditional financial institutions (e.g., banks and insurance companies) should adapt.
- Collaborative approach:
- Underscore collaborative effort between macroeconomic statisticians, regulators, policymakers, and the private sector.
- Explore non-traditional data sources as part of methodological innovation.
Participant engagement and learning format
- Expectations of participants:
- Participants are expected to actively contribute to presentations on country practices and exercises.
- Learning format:
- Peer learning will be an essential element of the workshop.
References