## Securities Statistics (SS)

## Source details

**Canonical URL:** [Securities Statistics (SS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/hq/2024/sshq24-11)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/hq/2024/sshq24-11/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/hq/2024/sshq24-11/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/hq/2024/sshq24-11/bundle-manifest.json)

## Bibliographic details
- Session: HQ 24.11
- Location: Washington, D.C., United States
- Dates: September 23-27, 2024 (1 week)
- Delivery method: In-person Training
- Primary language: English
- Status: Deadline passed

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### Target audience and qualifications
- Target audience: Officials in central banks and other agencies responsible for collecting and compiling securities statistics.
- Qualifications: Participants are expected to have a degree in economics and statistics and/or equivalent experience.
- Additional desirable knowledge: Knowledge of basic financial mathematics is an advantage.

### Course description and core content
- Familiarizes participants with the methodology recommended by the Handbook on Securities Statistics.
- Covers:
  - Definition and features of securities, securitization, and related operations.
  - Valuation and recording of securities.
  - Classification schemes and presentation tables for securities.
  - Security-by-security databases and the framework and technical challenges involved in constructing them.
- Practical component:
  - A practical exercise on valuation and recording of different types of debt securities complements the lectures.
- Relevance:
  - Interpretation of presentation tables for securities statistics recommended by the G-20 Data Gaps Initiative.

### Course objectives (learning outcomes)
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

- [In-person Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [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)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/hq/2024/sshq24-11_