## Debt Securities Statistics (SS)

## Source details

**Canonical URL:** [Debt Securities Statistics (SS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ct/2019/ssct19-10)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ct/2019/ssct19-10/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ct/2019/ssct19-10/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ct/2019/ssct19-10/bundle-manifest.json)

## Bibliographic details
- Session: CT 19.10
- Location: Dalian, China
- Dates: June 24-28, 2019 (1 week)
- Primary language: English
- Interpretation language: Chinese

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### Training program and target audience
- Training Program presented by the IMF Statistics Department.
- Target Audience: Officials in central banks and other agencies charged with collecting and compiling securities statistics.

### Qualifications
- Participants should have a degree in economics and statistics or equivalent experience.
- Knowledge of basic financial mathematics is advantageous.

### Course description
- The course familiarizes participants with the methodology recommended by the Handbook on Securities Statistics, a joint undertaking of the IMF, the Bank for International Settlements, and the European Central Bank, published in May 2015.
- Topics covered:
  - Definition and features of securities, securitization, and related operation.
  - Valuation and recording of securities.
  - Classification schemes and presentation tables for securities.
  - Security-by-security databases.
- A practical exercise on valuation and recording of different types of debt securities complements the lectures.

### Course objectives
- Upon completion of the course, participants should be able to:
  - Identify the concepts underlying securities statistics in terms of sectorization, valuation, and accounting rules.
  - Describe the framework and technical challenges involved in constructing security-by-security databases.
  - Calculate nominal and market values for different types of debt securities based on their characteristics and market fluctuations.
  - Interpret the presentation tables for securities statistics recommended by the G-20 Data Gaps Initiative.

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## References

- [Core Elements of Banking Supervision (CBS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2027/cbsat27-10)
- [Advanced Government Finance Statistics (GFS-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/gfs-ace26-45)
- [Fiscal Sustainability (FS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fsce26-38)
- [Safeguards Assessments of Central Banks (SAC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/sacat26-30)
- [Macroeconomic Management in Resource Rich Countries (MRC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/mrcce26-44)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ct/2019/ssct19-10_