Virtual : Balance Sheet Approach (BSA)
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- Virtual : Balance Sheet Approach (BSA)
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Bibliographic details
- Session: CT 22.22V
- Location: Beijing, China
- Dates: November 7-11, 2022 (1 week)
- Delivery method: Virtual Training
- Primary language: English
- Interpretation language: Chinese
- Status: Deadline passed
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; and/or overseeing macro-financial analysis.
Qualifications
- Participants are expected to have a degree in economics or statistics, or equivalent experience.
Course Description
- Conducted by the IMF Statistics Department.
- Presents a user-friendly tool developed by the department to automatically combine monetary, government, and balance of payment data reported to the Statistics Department to create a distribution of claims and liabilities on a from-whom-to-whom basis.
- The generated matrix enables country officials to use the Balance Sheet Approach (BSA) analysis to focus on overall balance sheet linkages and identify specific exposures and vulnerabilities, such as:
- excessive reliance on external funding,
- leverage buildup in the corporate sector,
- overreliance on the banking sector for sovereign debt placement.
- This course is an abbreviated version of the longer, BSA course traditionally offered by STA in-person.
Course Objectives
- 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.
- 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.
References