## Balance Sheet Approach

## Source details

**Canonical URL:** [Balance Sheet Approach](https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2024/bsast24-25)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/st/2024/bsast24-25/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/st/2024/bsast24-25/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/st/2024/bsast24-25/bundle-manifest.json)

## Bibliographic details
- Session: ST 24.25
- Location: Singapore, Singapore
- Dates: November 4-8, 2024 (1 week)
- Delivery method: In-person Training
- Primary language: English
- Status: Deadline passed

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### Training program and audience
- Training program offered by the Statistics Department of the IMF.
- Target audience:
  - Officials at central banks, ministries of finance and other agencies in charge of compiling monetary and financial statistics, government finance/debt statistics, and external sector statistics.
  - Officials overseeing macro-financial analysis.

### Qualifications and enrollment status
- Qualifications: Participants are expected to have a degree in economics or statistics, or equivalent experience.
- Enrollment status: Deadline passed.

### Course description and analytic focus
- The course presents a user-friendly tool developed by the Statistics Department to automatically combine monetary, government, and international investment position data reported to the Statistics Department to create a distribution of claims and liabilities on a from-whom-to-whom basis.
- The generated matrix is intended as an analytical tool for macro-financial analysis to:
  - Focus on overall balance sheet linkages.
  - 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 the course, participants should be able to:
- 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.
- 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.

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## References

- [In-person Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Fiscal Policy Analysis (FPA)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/hq/2026/fpahq26-11)
- [Taxation and Domestic Revenue Mobilization](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/tdrmce26-34)
- [Integrating Basel III Liquidity Standards with ILAAP A Framework for Effective Liquidity Risk Management](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/ce26-31)
- [Financial Programming and Policies (FPP)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fppce26-41)
- [Producer, Export, and Import Price Statistics](https://www.imf.org/en/capacity-development/training/icdtc/schedule/jv/2026/peijv26-36)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2024/bsast24-25_