## Reflecting Digitalization in Financial Sector Statistics

## Source details

**Canonical URL:** [Reflecting Digitalization in Financial Sector Statistics](https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2026/rdfssst26-28)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/st/2026/rdfssst26-28/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/st/2026/rdfssst26-28/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/st/2026/rdfssst26-28/bundle-manifest.json)

## 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

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### 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.

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## References

- [In-person Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Core Elements of Banking Supervision (CBS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2027/cbsat27-10)
- [Advanced Government Finance Statistics (GFS-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/gfs-ace26-45)
- [Fiscal Sustainability (FS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fsce26-38)
- [Safeguards Assessments of Central Banks (SAC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/sacat26-30)
- [Macroeconomic Management in Resource Rich Countries (MRC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/mrcce26-44)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2026/rdfssst26-28_