General Search
Multiple search words are automatically linked with "AND". Text enclosed in quotation marks (") returns only the pages in which this text occurs exactly. With the search filters next to the results you have the possibility to further limit your search.
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Expectations formation, sticky prices, and the ZLB Discussion paper 34/2019: Betsy Bersson, Patrick Hürtgen, Matthias Paustian
1 MB, PDF
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Seasonally adjusted business statistics – September 2019 Statistical Supplement 4 to the Monthly Report
2 MB, PDF
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When old meets young? Germany’s population ageing and the current account Discussion paper 33/2019: Matthias Schön, Nikolai Stähler
1 MB, PDF
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Climate change and central banking Speech by Yves Mersch, Member of the Executive Board of the ECB, Workshop discussion: Sustainability is becoming mainstream, Frankfurt am Main, 27.11.2018
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Central Bankers, Supervisors and Climate-Related Risks Panel remarks by Sabine Lautenschläger, Member of the Executive Board of the ECB, at the Network for Greening the Financial System Conference, Paris, 17.04.2019
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bbk_speeches
10 MB, ZIP
Bundesbank Reden (bbk_speeches) ist ein textbasierter Datensatz, welcher die Reden von Mitgliedern des Vorstands der Bundesbank zwischen 2012 und 2017 enthält. Er enthält öffentlich verfügbare Informationen aus dem Pressebereich der Internetseite, die aufbereitet und mit öffentlich verfügbaren Informationen der Redner angereichert sind.
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The greening of the financial sector Speech by Pentti Hakkarainen, Member of the Supervisory Board of the ECB, at the Hannes Snellman Financial Law Seminar, Helsinki, 09.09.2019
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Price trends over the product life cycle and the optimal inflation target Discussion paper 32/2019: Klaus Adam, Henning Weber
1 MB, PDF
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Connectedness between exchange rates: how machine learning opens up fresh insights Research Brief | 28th edition – September 2019
Are the exchange rates between certain currencies more closely connected than those of other currencies? Answers to this question can be provided by econometric methods. A new study shows how machine learning can deliver useful insights into this issue.
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A novel housing price misalignment indicator for Germany Discussion paper 31/2019: Markus Hertrich
1 MB, PDF