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Consequences of transiting to a climate-neutral economy Research Brief | 68th edition – August 2024
Transition risk is the risk arising from the economy’s shift towards net-zero carbon emissions. Applying a novel methodology, we find that large unanticipated increases to transition risk are predominantly related to political events and can have notable macroeconomic consequences. Interestingly, in the short run these shocks do not uniformly generate inflationary pressure, challenging the prevalent notion of “greenflation.” Finally, our results highlight an important role for country-specificities, suggesting, for instance, that there may also be economic benefits attached to the transition. Overall, while international policy coordination is essential, these findings underscore the importance of tailoring policy interventions to each nation's unique economic context.
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Bankenstatistik / Kundensystematik hier: Aktualisierte Listen des Statistischen Bundesamtes für Extrahaushalte und Kernhaushalte
126 KB, PDF
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Resilienz Bundesbank Invited Speakers Series
Markus Brunnermeier, Edwards S. Sanford Professor of Economics at Princeton University and Director of the Bendheim Center for Finance, spoke on the topic of ‘Resilience’. The subsequent discussion with Bundesbank President Joachim Nagel was moderated by Falko Fecht, Head of Research, Deutsche Bundesbank.
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Discussion around a digital euro slow to catch on among consumers Survey on the digital euro
26.10.2021 DE
The possible introduction of a digital euro has been the subject of intensive debate among specialists for some time now. The discussion has been slow to trickle down to consumers, however, as revealed by the findings of a representative study presented by the Bundesbank in its latest Monthly Report. 77% of participants surveyed in April 2021 had never heard of the digital euro.
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Combating counterfeit money by the National Analysis Centre Expert panel
The expert panel is aimed at experienced experts from the anti-counterfeiting unit of central banks who need a detailed understanding of techniques for succeeding in the fight against forged money. Participants are expected to make an active contribution to the discussions and will be invited to present and discuss their own topics or cases.
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Python for Data Science – A crash course
The course is designed for staff working in information technology, statistics or research departments in central banks and regulatory and supervisory authorities with an interest in applying machine learning methods with Python. It is not aimed at those who already have extensive and advanced knowledge of Python.