IMF | STI

The IMF – Singapore Regional Training Institute (STI) was established in 1998 and is the International Monetary Fund’s (IMF) regional training center for the Asia and Pacific region.

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ST26.05 - Central Bank Digital Currencies: Principles and Policy Considerations (CBDC)

The course successfully completed on 27 Mar 2026

ST26.09 - Quarterly National Accounts - Advanced (QNA-A)

The course successfully completed on 27 Mar 2026

OT26.03 - Cohort Training in Forecasting and Nowcasting (MFA)

The course successfully completed on 27 Mar 2026

Nadi, Fiji

ST26.08 : Macro-relevant Environment and Climate Change Statistics (CCS-I)

The course was successfully completed from 2-6 March, 2026.

ST26.03 : Fiscal Transparency and Governance (FTS)

The course was successfully completed from 2-6 March, 2026.

IMF-ICD-STI successfully conclude Five-Year Technical Assistance Project with the Central Bank of Solomon Islands

IMF-ICD-STI successfully conclude Five-Year Technical Assistance Project with the Central Bank of Solomon Islands The Central Bank of Solomon Islands (CBSI) and the International Monetary Fund’s Institute for Capacity Development (IMF–ICD) and Singapore Regional Training Institute (STI) have successfully concluded a five-year Technical Assistance (TA) project focused on improving forecasting and analytical capacity, streamlining decision-making and strengthening policy communication at CBSI. 

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ST26.10 Balance of Payments and International Investment Position Statistics - Intermediate (BPIIPS-M)

The course was successfully completed from 12–23 January 2026.

OT26.05 Topics on Fiscal Policy and Fiscal Sustainability ( FPAFS)

The course was successfully completed in Hanoi, Vietnam, from 12–23 January 2026.

Singapore Seminar Series (In-Person): Making Al Work For All: Lessons From Singapore

Event Date/Time: December 3, 2025 / 3:00 pm - 4:30 pm 

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For working professionals residing in Singapore only.

Parameter Proliferation in Nowcasting: Issues and Approaches—An Application to Nowcasting China’s Real GDP

This paper evaluates three approaches to address parameter proliferation issue in nowcasting: (i) variable selection using adjusted stepwise autoregressive integrated moving average with exogenous variables (AS-ARIMAX); (ii) regularization in machine learning (ML); and (iii) dimensionality reduction via principal component analysis (PCA).

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ST25.22 Gender Inequality and Macroeconomics (GM)

Participants successfully completed the Gender Inequality and Macroeconomics (GM) course, deepening their understanding of how gender equality supports inclusive and sustainable growth. Use key sources of gender-disaggregated data and relevant toolkits to assess countries’ progress towards gender equality, including how this has been affected by the COVID-19 pandemic, and the impact of gender equality on macroeconomic performance.