Training Program

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Securities Statistics (SS)

Deadline passed

Session No.: JV 22.18

Location: Vienna, Austria

Date: December 12-16, 2022 (1 week) New dates

Delivery Method: In-person Training

Primary Language: English

Interpretation Language: Russian

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 or equivalent experience. Knowledge of basic financial mathematics is an advantage.

Course Description

"Disclosure: Due to COVID 19, courses will be delivered in person, hybrid, or virtual, according to safety guidelines. As of today, this course is scheduled to be delivered in person in Vienna, but its delivery method may change. By submitting your application, you confirm your availability to participate in the course either in person or virtually. Up-to-date Covid-19 vaccination is likely to be required and related information may be requested from participants for in-person courses."

This course, presented by the Statistics Department, 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. The course covers definition and features of securities, securitization, and related operation; valuation and recording of securities; classification schemes and presentation tables for securities; and 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 this 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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