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Reflecting Digitalization in Financial Sector Statistics

Apply online by December 19, 2025 Deadline extended

Session No.: CE 26.07

Location: Abu Dhabi, United Arab Emirates

Date: January 26-30, 2026 (1 week) New dates

Delivery Method: In-person Training

Primary Language: English

Interpretation Language: Arabic

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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 Description

The five-day course, delivered by the IMF's Statistics Department in cooperation with the Caucasus, Central Asia, and Mongolia Regional Capacity Development Center, will focus on how digitalization is impacting financial sector statistics. The digital revolution in finance is not just a technological shift, but a fundamental transformation of the financial landscape, reshaping how financial services are delivered, consumed, and managed. While offering immense opportunities for efficiency and inclusion, digitalization presents a significant challenge for traditional financial sector statistics: how do we accurately capture and reflect these rapidly evolving dynamics? For decades, financial sector statistics have relied on established methodologies and reporting frameworks built around the activities of traditional financial institutions like banks and insurance companies. With the rise of fintech companies, mobile payments, peer-to-peer lending platforms, digital currencies, and crypto assets, it is essential that statistical methodological guidance underlying financial sector statistics as well as data collection accurately capture these emerging instruments and market participants, crucial for maintaining the stability and effectiveness of the financial system. This workshop will focus on how to reflect digitalization in financial sector statistics, discuss the emerging methodologies and underscore the collaborative effort between macroeconomic statisticians, regulators, policymakers, and the private sector to explore non-traditional data sources. Participants are expected to actively contribute to presentations on country practices and exercises. Peer learning will be an essential element of the workshop.

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