## Virtual : Securities Statistics (SS)

## Source details

**Canonical URL:** [Virtual : Securities Statistics (SS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2023/ssst23-11v)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/st/2023/ssst23-11v/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/st/2023/ssst23-11v/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/st/2023/ssst23-11v/bundle-manifest.json)

## Bibliographic details
- Session: ST 23.11V
- Location: Singapore, Singapore
- Dates: March 20-24, 2023 (1 week)
- Delivery method: Virtual Training
- Primary language: English
- Status: Deadline passed

---

### 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. Knowledge of basic financial mathematics is an advantage.

### Course description
- The course is presented by the IMF’s Statistics Department and delivered in collaboration with the Bank for International Settlements (BIS) and the European Central Bank (ECB).
- Familiarizes participants with the methodology recommended by the Handbook on Securities Statistics, a joint undertaking of the IMF, the BIS, and the ECB, 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.
- Includes a practical exercise on valuation and recording of different types of debt securities to complement 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.

---


## References

- [Virtual 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)
- [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/st/2023/ssst23-11v_