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Current Focus: The making and the results of Bundesbank’s current supervisory stress test on LSIs | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/current-focus-the-making-and-the-results-of-bundesbank-s-current-supervisory-stress-test-on-lsis-941568

This online course is aimed at colleagues in central banks and supervisory authorities who are interested in supervisory stress testing on banks. It is especially useful for colleagues working in banking supervision or financial stability.
Participants of this online course will also have the opportunity to gain insights

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Central bank communication | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/central-bank-communication-940936

The course is aimed at central bank staff working in the area of central bank communication (public relations, press office, etc.) or actively dealing with communication issues in other areas of their institutions. Applicants should be willing to share their experiences and actively contribute to discussions during the course.
Participants will also have the opportunity to experience a guided tour of the Bundesbank

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Current Focus: Bundesbank’s Climate Risk Stress Test – the making and results for German banks | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/current-focus-bundesbank-s-climate-risk-stress-test-the-making-and-results-for-german-banks-953758

Internationale Zentralbankkurse im Inland, bilaterale Fachseminare im In- und Ausland sowie Beratungen des Notenbankgeschäfts vor Ort.
Participants of this online course will have the opportunity to gain insights into

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Introduction to machine learning | Deutsche Bundesbank

https://www.bundesbank.de/de/bundesbank/internationaler-zentralbankdialog/internationale-zentralbankkurse/introduction-to-machine-learning-917768

The course is aimed at data-savvy central bankers, regulators and supervisors in areas such as information technology and statistics, or research departments interested in implementing machine learning methods.
Participants will have the opportunity to discuss the content of the previous day

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