Training Program

Balance Sheet Approach (BSA)
Deadline passed
Session No.: CT 25.15
Location: Shenzhen, China
Date: October 27-31, 2025 (1 week)
Delivery Method: In-person Training
Primary Language: English
Target Audience
Officials at central banks, ministries of finance and other agencies responsible for (i) compiling monetary and financial statistics, government finance/debt statistics, and external sector statistics; (ii) the supervision and regulation of financial institutions; and (iii) conducting financial stability or macro-financial analyses.
Qualifications
Participants are expected to have a degree in economics or statistics, or equivalent experience.
Course Description
This course, presented by the Statistics Department (STA), provides participants with the necessary skills to compile and analyze the BSA matrix – a three-dimensional financial statistics. STA has developed a BSA tool, which combines the balance sheets of the main sectors of an economy, namely the financial sector, central government, nonfinancial corporate and household sectors, and the external sector into a single matrix to generate a sectoral distribution of claims and liabilities in a “from-whom-to-whom” basis. The course will guide country officials through the process of generating a BSA matrix using financial, fiscal, and external sector statistics. By analyzing the BSA matrix, officials can understand overall balance sheet linkages and identify specific exposures and vulnerabilities, such as excessive reliance on external funding, leverage buildup in the corporate sector, and overreliance on the banking sector for sovereign debt placement.
Course Objectives
Upon completion of this course, participants should be able to:
- Compile the BSA matrix using monetary, government, and external sector data.
- Review and summarize the source data used for preparing the BSA matrix and identify critical data gaps for their respective countries.
- Prepare work plans for addressing these data gaps over the medium-term, in order to provide national policy makers with an analytically useful BSA matrix.
- Use the BSA matrix information for the identification of balance sheet imbalances, exposures, and risks to shocks such as sudden capital outflows or sharp exchange rate depreciation.
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