{
  "title": "Balance Sheet Approach (BSA)",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/hq/2025/bsahq25-03",
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  "summary": "Balance Sheet Approach Training Program 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.",
  "publishDate": "2025-02-13",
  "sections": [
    {
      "heading": "Training program and audience",
      "content": "- Training Program: Balance Sheet Approach\n- Session No.: HQ 25.03\n- Location: Washington, D.C., United States\n- Date: February 5-14, 2025 (1 week) New dates\n- Delivery Method: In-person Training\n- Primary Language: English\n- Deadline passed\n- Target Audience:\n  - 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\n  - Officials overseeing macro-financial analysis"
    },
    {
      "heading": "Qualifications",
      "content": "- Participants are expected to have a degree in economics or statistics, or equivalent experience."
    },
    {
      "heading": "Course description",
      "content": "- The course is conducted by the Statistics Department.\n- 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.\n- The tool creates a distribution of claims and liabilities on a from-whom-to-whom basis to support macro-financial analysis.\n- Use cases emphasized:\n  - Focus on overall balance sheet linkages.\n  - 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."
    },
    {
      "heading": "Course objectives",
      "content": "Upon completion of the course, participants should be able to:\n- 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.\n- Review and summarize the source data used for preparing the BSA matrix and identify critical data gaps for their respective countries.\n- 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."
    }
  ],
  "bullets": [
    "Training Program: Balance Sheet Approach",
    "Session No.: HQ 25.03",
    "Location: Washington, D.C., United States",
    "Date: February 5-14, 2025 (1 week) New dates",
    "Delivery Method: In-person Training",
    "Primary Language: English",
    "Deadline passed",
    "Target Audience:",
    "Participants are expected to have a degree in economics or statistics, or equivalent experience.",
    "The course is conducted by the Statistics Department.",
    "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.",
    "The tool creates a distribution of claims and liabilities on a from-whom-to-whom basis to support macro-financial analysis.",
    "Use cases emphasized:",
    "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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  "generatedAtUtc": "2026-09-29T17:08:41.639Z"
}