General Search
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Securities Issues Statistics Issue June 2026
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Digitalisation and sustainability
This course is aimed at those new to roles in a central bank’s cash or IT department who would like to start by gaining an overview of the field, through to more experienced experts and project managers wishing to expand their knowledge and learn about the Bundesbank’s approach.
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Cologne branch
The branches of the Bundesbank supply the economy with euro banknotes and coins, and offers private customers the opportunity to exchange D-Mark banknotes and coins free-of-charge and with no fixed deadline.
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HR challenges for central banks
This course is aimed at staff from HR units of central banks. Participants should have sound knowledge of the systems and procedures used in their respective institution to manage HR issues and are expected to take an active part in discussions, drawing on their own experiences.
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Capital market indicators Issue August 2026
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German €2 commemorative coins
The €2 coins with a commemorative design are regular coins , which are accepted as legal tender in all euro-area countries. Although these €2 coins with a commemorative design are more commonly referred to as commemorative coins, they are nonetheless officially classed as “standard” regular issue coins.
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Securities holdings statistics Reporting period May 2026
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International Reserves Reporting period July 2026
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2026 – Konrad Adenauer
The German government has decided to mint a €2 commemorative coin entitled “Konrad Adenauer” scheduled to be issued on 8 January 2026. The coin is in honour of Konrad Adenauer (1876–1967), the first Chancellor of the Federal Republic of Germany. It is the second coin to be issued in the “Unity and Justice and Freedom” series. Each year, a new €2 commemorative coin honouring politicians whose actions particularly shaped the history of the Federal Republic of Germany will be issued.
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Python - a crash course for central bankers
The course is designed for staff working in information technology, statistics, or research departments within central banks, as well as regulatory and supervisory authorities with an interest in applying machine learning methods with Python.